[feature] Initial Prometheus metrics implementation (#2334)

* feat: Initial OTEL metrics

* docs: add metrics documentation

* fix: metrics endpoint conditional check

* feat: metrics endpoint basic auth

* fix: make metrics-auth-enabled default false

* fix: go fmt helpers.gen.go

* fix: add metric-related env vars to envparsing.sh

* fix: metrics docs

* fix: metrics related stuff in envparsing.sh

* fix: metrics docs

* chore: metrics docs wording

* fix: metrics stuff in envparsing?

* bump otel versions

---------

Co-authored-by: Tsuribori <user@acertaindebian>
Co-authored-by: Tsuribori <none@example.org>
Co-authored-by: tsmethurst <tobi.smethurst@protonmail.com>

45 files changed, 10965 insertions, 0 deletions

diff --git a/vendor/github.com/prometheus/client_golang/LICENSE b/vendor/github.com/prometheus/client_golang/LICENSE
new file mode 100644
index 000000000..261eeb9e9
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/LICENSE
@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
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+      "License" shall mean the terms and conditions for use, reproduction,
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+      direction or management of such entity, whether by contract or
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+      "You" (or "Your") shall mean an individual or Legal Entity
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+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
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+      Work and such Derivative Works in Source or Object form.
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+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
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+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
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+      Work (including but not limited to damages for loss of goodwill,
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+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
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diff --git a/vendor/github.com/prometheus/client_golang/NOTICE b/vendor/github.com/prometheus/client_golang/NOTICE
new file mode 100644
index 000000000..dd878a30e
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/NOTICE
@@ -0,0 +1,23 @@
+Prometheus instrumentation library for Go applications
+Copyright 2012-2015 The Prometheus Authors
+
+This product includes software developed at
+SoundCloud Ltd. (http://soundcloud.com/).
+
+
+The following components are included in this product:
+
+perks - a fork of https://github.com/bmizerany/perks
+https://github.com/beorn7/perks
+Copyright 2013-2015 Blake Mizerany, Björn Rabenstein
+See https://github.com/beorn7/perks/blob/master/README.md for license details.
+
+Go support for Protocol Buffers - Google's data interchange format
+http://github.com/golang/protobuf/
+Copyright 2010 The Go Authors
+See source code for license details.
+
+Support for streaming Protocol Buffer messages for the Go language (golang).
+https://github.com/matttproud/golang_protobuf_extensions
+Copyright 2013 Matt T. Proud
+Licensed under the Apache License, Version 2.0
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/.gitignore b/vendor/github.com/prometheus/client_golang/prometheus/.gitignore
new file mode 100644
index 000000000..3460f0346
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/.gitignore
@@ -0,0 +1 @@
+command-line-arguments.test
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/README.md b/vendor/github.com/prometheus/client_golang/prometheus/README.md
new file mode 100644
index 000000000..c67ff1b7f
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/README.md
@@ -0,0 +1 @@
+See [![Go Reference](https://pkg.go.dev/badge/github.com/prometheus/client_golang/prometheus.svg)](https://pkg.go.dev/github.com/prometheus/client_golang/prometheus).
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/build_info_collector.go b/vendor/github.com/prometheus/client_golang/prometheus/build_info_collector.go
new file mode 100644
index 000000000..450189f35
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/build_info_collector.go
@@ -0,0 +1,38 @@
+// Copyright 2021 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import "runtime/debug"
+
+// NewBuildInfoCollector is the obsolete version of collectors.NewBuildInfoCollector.
+// See there for documentation.
+//
+// Deprecated: Use collectors.NewBuildInfoCollector instead.
+func NewBuildInfoCollector() Collector {
+	path, version, sum := "unknown", "unknown", "unknown"
+	if bi, ok := debug.ReadBuildInfo(); ok {
+		path = bi.Main.Path
+		version = bi.Main.Version
+		sum = bi.Main.Sum
+	}
+	c := &selfCollector{MustNewConstMetric(
+		NewDesc(
+			"go_build_info",
+			"Build information about the main Go module.",
+			nil, Labels{"path": path, "version": version, "checksum": sum},
+		),
+		GaugeValue, 1)}
+	c.init(c.self)
+	return c
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/collector.go b/vendor/github.com/prometheus/client_golang/prometheus/collector.go
new file mode 100644
index 000000000..cf05079fb
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/collector.go
@@ -0,0 +1,128 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+// Collector is the interface implemented by anything that can be used by
+// Prometheus to collect metrics. A Collector has to be registered for
+// collection. See Registerer.Register.
+//
+// The stock metrics provided by this package (Gauge, Counter, Summary,
+// Histogram, Untyped) are also Collectors (which only ever collect one metric,
+// namely itself). An implementer of Collector may, however, collect multiple
+// metrics in a coordinated fashion and/or create metrics on the fly. Examples
+// for collectors already implemented in this library are the metric vectors
+// (i.e. collection of multiple instances of the same Metric but with different
+// label values) like GaugeVec or SummaryVec, and the ExpvarCollector.
+type Collector interface {
+	// Describe sends the super-set of all possible descriptors of metrics
+	// collected by this Collector to the provided channel and returns once
+	// the last descriptor has been sent. The sent descriptors fulfill the
+	// consistency and uniqueness requirements described in the Desc
+	// documentation.
+	//
+	// It is valid if one and the same Collector sends duplicate
+	// descriptors. Those duplicates are simply ignored. However, two
+	// different Collectors must not send duplicate descriptors.
+	//
+	// Sending no descriptor at all marks the Collector as “unchecked”,
+	// i.e. no checks will be performed at registration time, and the
+	// Collector may yield any Metric it sees fit in its Collect method.
+	//
+	// This method idempotently sends the same descriptors throughout the
+	// lifetime of the Collector. It may be called concurrently and
+	// therefore must be implemented in a concurrency safe way.
+	//
+	// If a Collector encounters an error while executing this method, it
+	// must send an invalid descriptor (created with NewInvalidDesc) to
+	// signal the error to the registry.
+	Describe(chan<- *Desc)
+	// Collect is called by the Prometheus registry when collecting
+	// metrics. The implementation sends each collected metric via the
+	// provided channel and returns once the last metric has been sent. The
+	// descriptor of each sent metric is one of those returned by Describe
+	// (unless the Collector is unchecked, see above). Returned metrics that
+	// share the same descriptor must differ in their variable label
+	// values.
+	//
+	// This method may be called concurrently and must therefore be
+	// implemented in a concurrency safe way. Blocking occurs at the expense
+	// of total performance of rendering all registered metrics. Ideally,
+	// Collector implementations support concurrent readers.
+	Collect(chan<- Metric)
+}
+
+// DescribeByCollect is a helper to implement the Describe method of a custom
+// Collector. It collects the metrics from the provided Collector and sends
+// their descriptors to the provided channel.
+//
+// If a Collector collects the same metrics throughout its lifetime, its
+// Describe method can simply be implemented as:
+//
+//	func (c customCollector) Describe(ch chan<- *Desc) {
+//		DescribeByCollect(c, ch)
+//	}
+//
+// However, this will not work if the metrics collected change dynamically over
+// the lifetime of the Collector in a way that their combined set of descriptors
+// changes as well. The shortcut implementation will then violate the contract
+// of the Describe method. If a Collector sometimes collects no metrics at all
+// (for example vectors like CounterVec, GaugeVec, etc., which only collect
+// metrics after a metric with a fully specified label set has been accessed),
+// it might even get registered as an unchecked Collector (cf. the Register
+// method of the Registerer interface). Hence, only use this shortcut
+// implementation of Describe if you are certain to fulfill the contract.
+//
+// The Collector example demonstrates a use of DescribeByCollect.
+func DescribeByCollect(c Collector, descs chan<- *Desc) {
+	metrics := make(chan Metric)
+	go func() {
+		c.Collect(metrics)
+		close(metrics)
+	}()
+	for m := range metrics {
+		descs <- m.Desc()
+	}
+}
+
+// selfCollector implements Collector for a single Metric so that the Metric
+// collects itself. Add it as an anonymous field to a struct that implements
+// Metric, and call init with the Metric itself as an argument.
+type selfCollector struct {
+	self Metric
+}
+
+// init provides the selfCollector with a reference to the metric it is supposed
+// to collect. It is usually called within the factory function to create a
+// metric. See example.
+func (c *selfCollector) init(self Metric) {
+	c.self = self
+}
+
+// Describe implements Collector.
+func (c *selfCollector) Describe(ch chan<- *Desc) {
+	ch <- c.self.Desc()
+}
+
+// Collect implements Collector.
+func (c *selfCollector) Collect(ch chan<- Metric) {
+	ch <- c.self
+}
+
+// collectorMetric is a metric that is also a collector.
+// Because of selfCollector, most (if not all) Metrics in
+// this package are also collectors.
+type collectorMetric interface {
+	Metric
+	Collector
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/counter.go b/vendor/github.com/prometheus/client_golang/prometheus/counter.go
new file mode 100644
index 000000000..4ce84e7a8
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/counter.go
@@ -0,0 +1,358 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"errors"
+	"math"
+	"sync/atomic"
+	"time"
+
+	dto "github.com/prometheus/client_model/go"
+	"google.golang.org/protobuf/types/known/timestamppb"
+)
+
+// Counter is a Metric that represents a single numerical value that only ever
+// goes up. That implies that it cannot be used to count items whose number can
+// also go down, e.g. the number of currently running goroutines. Those
+// "counters" are represented by Gauges.
+//
+// A Counter is typically used to count requests served, tasks completed, errors
+// occurred, etc.
+//
+// To create Counter instances, use NewCounter.
+type Counter interface {
+	Metric
+	Collector
+
+	// Inc increments the counter by 1. Use Add to increment it by arbitrary
+	// non-negative values.
+	Inc()
+	// Add adds the given value to the counter. It panics if the value is <
+	// 0.
+	Add(float64)
+}
+
+// ExemplarAdder is implemented by Counters that offer the option of adding a
+// value to the Counter together with an exemplar. Its AddWithExemplar method
+// works like the Add method of the Counter interface but also replaces the
+// currently saved exemplar (if any) with a new one, created from the provided
+// value, the current time as timestamp, and the provided labels. Empty Labels
+// will lead to a valid (label-less) exemplar. But if Labels is nil, the current
+// exemplar is left in place. AddWithExemplar panics if the value is < 0, if any
+// of the provided labels are invalid, or if the provided labels contain more
+// than 128 runes in total.
+type ExemplarAdder interface {
+	AddWithExemplar(value float64, exemplar Labels)
+}
+
+// CounterOpts is an alias for Opts. See there for doc comments.
+type CounterOpts Opts
+
+// CounterVecOpts bundles the options to create a CounterVec metric.
+// It is mandatory to set CounterOpts, see there for mandatory fields. VariableLabels
+// is optional and can safely be left to its default value.
+type CounterVecOpts struct {
+	CounterOpts
+
+	// VariableLabels are used to partition the metric vector by the given set
+	// of labels. Each label value will be constrained with the optional Constraint
+	// function, if provided.
+	VariableLabels ConstrainableLabels
+}
+
+// NewCounter creates a new Counter based on the provided CounterOpts.
+//
+// The returned implementation also implements ExemplarAdder. It is safe to
+// perform the corresponding type assertion.
+//
+// The returned implementation tracks the counter value in two separate
+// variables, a float64 and a uint64. The latter is used to track calls of the
+// Inc method and calls of the Add method with a value that can be represented
+// as a uint64. This allows atomic increments of the counter with optimal
+// performance. (It is common to have an Inc call in very hot execution paths.)
+// Both internal tracking values are added up in the Write method. This has to
+// be taken into account when it comes to precision and overflow behavior.
+func NewCounter(opts CounterOpts) Counter {
+	desc := NewDesc(
+		BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+		opts.Help,
+		nil,
+		opts.ConstLabels,
+	)
+	if opts.now == nil {
+		opts.now = time.Now
+	}
+	result := &counter{desc: desc, labelPairs: desc.constLabelPairs, now: opts.now}
+	result.init(result) // Init self-collection.
+	result.createdTs = timestamppb.New(opts.now())
+	return result
+}
+
+type counter struct {
+	// valBits contains the bits of the represented float64 value, while
+	// valInt stores values that are exact integers. Both have to go first
+	// in the struct to guarantee alignment for atomic operations.
+	// http://golang.org/pkg/sync/atomic/#pkg-note-BUG
+	valBits uint64
+	valInt  uint64
+
+	selfCollector
+	desc *Desc
+
+	createdTs  *timestamppb.Timestamp
+	labelPairs []*dto.LabelPair
+	exemplar   atomic.Value // Containing nil or a *dto.Exemplar.
+
+	// now is for testing purposes, by default it's time.Now.
+	now func() time.Time
+}
+
+func (c *counter) Desc() *Desc {
+	return c.desc
+}
+
+func (c *counter) Add(v float64) {
+	if v < 0 {
+		panic(errors.New("counter cannot decrease in value"))
+	}
+
+	ival := uint64(v)
+	if float64(ival) == v {
+		atomic.AddUint64(&c.valInt, ival)
+		return
+	}
+
+	for {
+		oldBits := atomic.LoadUint64(&c.valBits)
+		newBits := math.Float64bits(math.Float64frombits(oldBits) + v)
+		if atomic.CompareAndSwapUint64(&c.valBits, oldBits, newBits) {
+			return
+		}
+	}
+}
+
+func (c *counter) AddWithExemplar(v float64, e Labels) {
+	c.Add(v)
+	c.updateExemplar(v, e)
+}
+
+func (c *counter) Inc() {
+	atomic.AddUint64(&c.valInt, 1)
+}
+
+func (c *counter) get() float64 {
+	fval := math.Float64frombits(atomic.LoadUint64(&c.valBits))
+	ival := atomic.LoadUint64(&c.valInt)
+	return fval + float64(ival)
+}
+
+func (c *counter) Write(out *dto.Metric) error {
+	// Read the Exemplar first and the value second. This is to avoid a race condition
+	// where users see an exemplar for a not-yet-existing observation.
+	var exemplar *dto.Exemplar
+	if e := c.exemplar.Load(); e != nil {
+		exemplar = e.(*dto.Exemplar)
+	}
+	val := c.get()
+	return populateMetric(CounterValue, val, c.labelPairs, exemplar, out, c.createdTs)
+}
+
+func (c *counter) updateExemplar(v float64, l Labels) {
+	if l == nil {
+		return
+	}
+	e, err := newExemplar(v, c.now(), l)
+	if err != nil {
+		panic(err)
+	}
+	c.exemplar.Store(e)
+}
+
+// CounterVec is a Collector that bundles a set of Counters that all share the
+// same Desc, but have different values for their variable labels. This is used
+// if you want to count the same thing partitioned by various dimensions
+// (e.g. number of HTTP requests, partitioned by response code and
+// method). Create instances with NewCounterVec.
+type CounterVec struct {
+	*MetricVec
+}
+
+// NewCounterVec creates a new CounterVec based on the provided CounterOpts and
+// partitioned by the given label names.
+func NewCounterVec(opts CounterOpts, labelNames []string) *CounterVec {
+	return V2.NewCounterVec(CounterVecOpts{
+		CounterOpts:    opts,
+		VariableLabels: UnconstrainedLabels(labelNames),
+	})
+}
+
+// NewCounterVec creates a new CounterVec based on the provided CounterVecOpts.
+func (v2) NewCounterVec(opts CounterVecOpts) *CounterVec {
+	desc := V2.NewDesc(
+		BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+		opts.Help,
+		opts.VariableLabels,
+		opts.ConstLabels,
+	)
+	if opts.now == nil {
+		opts.now = time.Now
+	}
+	return &CounterVec{
+		MetricVec: NewMetricVec(desc, func(lvs ...string) Metric {
+			if len(lvs) != len(desc.variableLabels.names) {
+				panic(makeInconsistentCardinalityError(desc.fqName, desc.variableLabels.names, lvs))
+			}
+			result := &counter{desc: desc, labelPairs: MakeLabelPairs(desc, lvs), now: opts.now}
+			result.init(result) // Init self-collection.
+			result.createdTs = timestamppb.New(opts.now())
+			return result
+		}),
+	}
+}
+
+// GetMetricWithLabelValues returns the Counter for the given slice of label
+// values (same order as the variable labels in Desc). If that combination of
+// label values is accessed for the first time, a new Counter is created.
+//
+// It is possible to call this method without using the returned Counter to only
+// create the new Counter but leave it at its starting value 0. See also the
+// SummaryVec example.
+//
+// Keeping the Counter for later use is possible (and should be considered if
+// performance is critical), but keep in mind that Reset, DeleteLabelValues and
+// Delete can be used to delete the Counter from the CounterVec. In that case,
+// the Counter will still exist, but it will not be exported anymore, even if a
+// Counter with the same label values is created later.
+//
+// An error is returned if the number of label values is not the same as the
+// number of variable labels in Desc (minus any curried labels).
+//
+// Note that for more than one label value, this method is prone to mistakes
+// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
+// an alternative to avoid that type of mistake. For higher label numbers, the
+// latter has a much more readable (albeit more verbose) syntax, but it comes
+// with a performance overhead (for creating and processing the Labels map).
+// See also the GaugeVec example.
+func (v *CounterVec) GetMetricWithLabelValues(lvs ...string) (Counter, error) {
+	metric, err := v.MetricVec.GetMetricWithLabelValues(lvs...)
+	if metric != nil {
+		return metric.(Counter), err
+	}
+	return nil, err
+}
+
+// GetMetricWith returns the Counter for the given Labels map (the label names
+// must match those of the variable labels in Desc). If that label map is
+// accessed for the first time, a new Counter is created. Implications of
+// creating a Counter without using it and keeping the Counter for later use are
+// the same as for GetMetricWithLabelValues.
+//
+// An error is returned if the number and names of the Labels are inconsistent
+// with those of the variable labels in Desc (minus any curried labels).
+//
+// This method is used for the same purpose as
+// GetMetricWithLabelValues(...string). See there for pros and cons of the two
+// methods.
+func (v *CounterVec) GetMetricWith(labels Labels) (Counter, error) {
+	metric, err := v.MetricVec.GetMetricWith(labels)
+	if metric != nil {
+		return metric.(Counter), err
+	}
+	return nil, err
+}
+
+// WithLabelValues works as GetMetricWithLabelValues, but panics where
+// GetMetricWithLabelValues would have returned an error. Not returning an
+// error allows shortcuts like
+//
+//	myVec.WithLabelValues("404", "GET").Add(42)
+func (v *CounterVec) WithLabelValues(lvs ...string) Counter {
+	c, err := v.GetMetricWithLabelValues(lvs...)
+	if err != nil {
+		panic(err)
+	}
+	return c
+}
+
+// With works as GetMetricWith, but panics where GetMetricWithLabels would have
+// returned an error. Not returning an error allows shortcuts like
+//
+//	myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Add(42)
+func (v *CounterVec) With(labels Labels) Counter {
+	c, err := v.GetMetricWith(labels)
+	if err != nil {
+		panic(err)
+	}
+	return c
+}
+
+// CurryWith returns a vector curried with the provided labels, i.e. the
+// returned vector has those labels pre-set for all labeled operations performed
+// on it. The cardinality of the curried vector is reduced accordingly. The
+// order of the remaining labels stays the same (just with the curried labels
+// taken out of the sequence – which is relevant for the
+// (GetMetric)WithLabelValues methods). It is possible to curry a curried
+// vector, but only with labels not yet used for currying before.
+//
+// The metrics contained in the CounterVec are shared between the curried and
+// uncurried vectors. They are just accessed differently. Curried and uncurried
+// vectors behave identically in terms of collection. Only one must be
+// registered with a given registry (usually the uncurried version). The Reset
+// method deletes all metrics, even if called on a curried vector.
+func (v *CounterVec) CurryWith(labels Labels) (*CounterVec, error) {
+	vec, err := v.MetricVec.CurryWith(labels)
+	if vec != nil {
+		return &CounterVec{vec}, err
+	}
+	return nil, err
+}
+
+// MustCurryWith works as CurryWith but panics where CurryWith would have
+// returned an error.
+func (v *CounterVec) MustCurryWith(labels Labels) *CounterVec {
+	vec, err := v.CurryWith(labels)
+	if err != nil {
+		panic(err)
+	}
+	return vec
+}
+
+// CounterFunc is a Counter whose value is determined at collect time by calling a
+// provided function.
+//
+// To create CounterFunc instances, use NewCounterFunc.
+type CounterFunc interface {
+	Metric
+	Collector
+}
+
+// NewCounterFunc creates a new CounterFunc based on the provided
+// CounterOpts. The value reported is determined by calling the given function
+// from within the Write method. Take into account that metric collection may
+// happen concurrently. If that results in concurrent calls to Write, like in
+// the case where a CounterFunc is directly registered with Prometheus, the
+// provided function must be concurrency-safe. The function should also honor
+// the contract for a Counter (values only go up, not down), but compliance will
+// not be checked.
+//
+// Check out the ExampleGaugeFunc examples for the similar GaugeFunc.
+func NewCounterFunc(opts CounterOpts, function func() float64) CounterFunc {
+	return newValueFunc(NewDesc(
+		BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+		opts.Help,
+		nil,
+		opts.ConstLabels,
+	), CounterValue, function)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/desc.go b/vendor/github.com/prometheus/client_golang/prometheus/desc.go
new file mode 100644
index 000000000..68ffe3c24
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/desc.go
@@ -0,0 +1,207 @@
+// Copyright 2016 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"fmt"
+	"sort"
+	"strings"
+
+	"github.com/cespare/xxhash/v2"
+	dto "github.com/prometheus/client_model/go"
+	"github.com/prometheus/common/model"
+	"google.golang.org/protobuf/proto"
+
+	"github.com/prometheus/client_golang/prometheus/internal"
+)
+
+// Desc is the descriptor used by every Prometheus Metric. It is essentially
+// the immutable meta-data of a Metric. The normal Metric implementations
+// included in this package manage their Desc under the hood. Users only have to
+// deal with Desc if they use advanced features like the ExpvarCollector or
+// custom Collectors and Metrics.
+//
+// Descriptors registered with the same registry have to fulfill certain
+// consistency and uniqueness criteria if they share the same fully-qualified
+// name: They must have the same help string and the same label names (aka label
+// dimensions) in each, constLabels and variableLabels, but they must differ in
+// the values of the constLabels.
+//
+// Descriptors that share the same fully-qualified names and the same label
+// values of their constLabels are considered equal.
+//
+// Use NewDesc to create new Desc instances.
+type Desc struct {
+	// fqName has been built from Namespace, Subsystem, and Name.
+	fqName string
+	// help provides some helpful information about this metric.
+	help string
+	// constLabelPairs contains precalculated DTO label pairs based on
+	// the constant labels.
+	constLabelPairs []*dto.LabelPair
+	// variableLabels contains names of labels and normalization function for
+	// which the metric maintains variable values.
+	variableLabels *compiledLabels
+	// id is a hash of the values of the ConstLabels and fqName. This
+	// must be unique among all registered descriptors and can therefore be
+	// used as an identifier of the descriptor.
+	id uint64
+	// dimHash is a hash of the label names (preset and variable) and the
+	// Help string. Each Desc with the same fqName must have the same
+	// dimHash.
+	dimHash uint64
+	// err is an error that occurred during construction. It is reported on
+	// registration time.
+	err error
+}
+
+// NewDesc allocates and initializes a new Desc. Errors are recorded in the Desc
+// and will be reported on registration time. variableLabels and constLabels can
+// be nil if no such labels should be set. fqName must not be empty.
+//
+// variableLabels only contain the label names. Their label values are variable
+// and therefore not part of the Desc. (They are managed within the Metric.)
+//
+// For constLabels, the label values are constant. Therefore, they are fully
+// specified in the Desc. See the Collector example for a usage pattern.
+func NewDesc(fqName, help string, variableLabels []string, constLabels Labels) *Desc {
+	return V2.NewDesc(fqName, help, UnconstrainedLabels(variableLabels), constLabels)
+}
+
+// NewDesc allocates and initializes a new Desc. Errors are recorded in the Desc
+// and will be reported on registration time. variableLabels and constLabels can
+// be nil if no such labels should be set. fqName must not be empty.
+//
+// variableLabels only contain the label names and normalization functions. Their
+// label values are variable and therefore not part of the Desc. (They are managed
+// within the Metric.)
+//
+// For constLabels, the label values are constant. Therefore, they are fully
+// specified in the Desc. See the Collector example for a usage pattern.
+func (v2) NewDesc(fqName, help string, variableLabels ConstrainableLabels, constLabels Labels) *Desc {
+	d := &Desc{
+		fqName:         fqName,
+		help:           help,
+		variableLabels: variableLabels.compile(),
+	}
+	if !model.IsValidMetricName(model.LabelValue(fqName)) {
+		d.err = fmt.Errorf("%q is not a valid metric name", fqName)
+		return d
+	}
+	// labelValues contains the label values of const labels (in order of
+	// their sorted label names) plus the fqName (at position 0).
+	labelValues := make([]string, 1, len(constLabels)+1)
+	labelValues[0] = fqName
+	labelNames := make([]string, 0, len(constLabels)+len(d.variableLabels.names))
+	labelNameSet := map[string]struct{}{}
+	// First add only the const label names and sort them...
+	for labelName := range constLabels {
+		if !checkLabelName(labelName) {
+			d.err = fmt.Errorf("%q is not a valid label name for metric %q", labelName, fqName)
+			return d
+		}
+		labelNames = append(labelNames, labelName)
+		labelNameSet[labelName] = struct{}{}
+	}
+	sort.Strings(labelNames)
+	// ... so that we can now add const label values in the order of their names.
+	for _, labelName := range labelNames {
+		labelValues = append(labelValues, constLabels[labelName])
+	}
+	// Validate the const label values. They can't have a wrong cardinality, so
+	// use in len(labelValues) as expectedNumberOfValues.
+	if err := validateLabelValues(labelValues, len(labelValues)); err != nil {
+		d.err = err
+		return d
+	}
+	// Now add the variable label names, but prefix them with something that
+	// cannot be in a regular label name. That prevents matching the label
+	// dimension with a different mix between preset and variable labels.
+	for _, label := range d.variableLabels.names {
+		if !checkLabelName(label) {
+			d.err = fmt.Errorf("%q is not a valid label name for metric %q", label, fqName)
+			return d
+		}
+		labelNames = append(labelNames, "$"+label)
+		labelNameSet[label] = struct{}{}
+	}
+	if len(labelNames) != len(labelNameSet) {
+		d.err = fmt.Errorf("duplicate label names in constant and variable labels for metric %q", fqName)
+		return d
+	}
+
+	xxh := xxhash.New()
+	for _, val := range labelValues {
+		xxh.WriteString(val)
+		xxh.Write(separatorByteSlice)
+	}
+	d.id = xxh.Sum64()
+	// Sort labelNames so that order doesn't matter for the hash.
+	sort.Strings(labelNames)
+	// Now hash together (in this order) the help string and the sorted
+	// label names.
+	xxh.Reset()
+	xxh.WriteString(help)
+	xxh.Write(separatorByteSlice)
+	for _, labelName := range labelNames {
+		xxh.WriteString(labelName)
+		xxh.Write(separatorByteSlice)
+	}
+	d.dimHash = xxh.Sum64()
+
+	d.constLabelPairs = make([]*dto.LabelPair, 0, len(constLabels))
+	for n, v := range constLabels {
+		d.constLabelPairs = append(d.constLabelPairs, &dto.LabelPair{
+			Name:  proto.String(n),
+			Value: proto.String(v),
+		})
+	}
+	sort.Sort(internal.LabelPairSorter(d.constLabelPairs))
+	return d
+}
+
+// NewInvalidDesc returns an invalid descriptor, i.e. a descriptor with the
+// provided error set. If a collector returning such a descriptor is registered,
+// registration will fail with the provided error. NewInvalidDesc can be used by
+// a Collector to signal inability to describe itself.
+func NewInvalidDesc(err error) *Desc {
+	return &Desc{
+		err: err,
+	}
+}
+
+func (d *Desc) String() string {
+	lpStrings := make([]string, 0, len(d.constLabelPairs))
+	for _, lp := range d.constLabelPairs {
+		lpStrings = append(
+			lpStrings,
+			fmt.Sprintf("%s=%q", lp.GetName(), lp.GetValue()),
+		)
+	}
+	vlStrings := make([]string, 0, len(d.variableLabels.names))
+	for _, vl := range d.variableLabels.names {
+		if fn, ok := d.variableLabels.labelConstraints[vl]; ok && fn != nil {
+			vlStrings = append(vlStrings, fmt.Sprintf("c(%s)", vl))
+		} else {
+			vlStrings = append(vlStrings, vl)
+		}
+	}
+	return fmt.Sprintf(
+		"Desc{fqName: %q, help: %q, constLabels: {%s}, variableLabels: {%s}}",
+		d.fqName,
+		d.help,
+		strings.Join(lpStrings, ","),
+		strings.Join(vlStrings, ","),
+	)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/doc.go b/vendor/github.com/prometheus/client_golang/prometheus/doc.go
new file mode 100644
index 000000000..962608f02
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/doc.go
@@ -0,0 +1,210 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+// Package prometheus is the core instrumentation package. It provides metrics
+// primitives to instrument code for monitoring. It also offers a registry for
+// metrics. Sub-packages allow to expose the registered metrics via HTTP
+// (package promhttp) or push them to a Pushgateway (package push). There is
+// also a sub-package promauto, which provides metrics constructors with
+// automatic registration.
+//
+// All exported functions and methods are safe to be used concurrently unless
+// specified otherwise.
+//
+// # A Basic Example
+//
+// As a starting point, a very basic usage example:
+//
+//	package main
+//
+//	import (
+//		"log"
+//		"net/http"
+//
+//		"github.com/prometheus/client_golang/prometheus"
+//		"github.com/prometheus/client_golang/prometheus/promhttp"
+//	)
+//
+//	type metrics struct {
+//		cpuTemp  prometheus.Gauge
+//		hdFailures *prometheus.CounterVec
+//	}
+//
+//	func NewMetrics(reg prometheus.Registerer) *metrics {
+//		m := &metrics{
+//			cpuTemp: prometheus.NewGauge(prometheus.GaugeOpts{
+//				Name: "cpu_temperature_celsius",
+//				Help: "Current temperature of the CPU.",
+//			}),
+//			hdFailures: prometheus.NewCounterVec(
+//				prometheus.CounterOpts{
+//					Name: "hd_errors_total",
+//					Help: "Number of hard-disk errors.",
+//				},
+//				[]string{"device"},
+//			),
+//		}
+//		reg.MustRegister(m.cpuTemp)
+//		reg.MustRegister(m.hdFailures)
+//		return m
+//	}
+//
+//	func main() {
+//		// Create a non-global registry.
+//		reg := prometheus.NewRegistry()
+//
+//		// Create new metrics and register them using the custom registry.
+//		m := NewMetrics(reg)
+//		// Set values for the new created metrics.
+//		m.cpuTemp.Set(65.3)
+//		m.hdFailures.With(prometheus.Labels{"device":"/dev/sda"}).Inc()
+//
+//		// Expose metrics and custom registry via an HTTP server
+//		// using the HandleFor function. "/metrics" is the usual endpoint for that.
+//		http.Handle("/metrics", promhttp.HandlerFor(reg, promhttp.HandlerOpts{Registry: reg}))
+//		log.Fatal(http.ListenAndServe(":8080", nil))
+//	}
+//
+// This is a complete program that exports two metrics, a Gauge and a Counter,
+// the latter with a label attached to turn it into a (one-dimensional) vector.
+// It register the metrics using a custom registry and exposes them via an HTTP server
+// on the /metrics endpoint.
+//
+// # Metrics
+//
+// The number of exported identifiers in this package might appear a bit
+// overwhelming. However, in addition to the basic plumbing shown in the example
+// above, you only need to understand the different metric types and their
+// vector versions for basic usage. Furthermore, if you are not concerned with
+// fine-grained control of when and how to register metrics with the registry,
+// have a look at the promauto package, which will effectively allow you to
+// ignore registration altogether in simple cases.
+//
+// Above, you have already touched the Counter and the Gauge. There are two more
+// advanced metric types: the Summary and Histogram. A more thorough description
+// of those four metric types can be found in the Prometheus docs:
+// https://prometheus.io/docs/concepts/metric_types/
+//
+// In addition to the fundamental metric types Gauge, Counter, Summary, and
+// Histogram, a very important part of the Prometheus data model is the
+// partitioning of samples along dimensions called labels, which results in
+// metric vectors. The fundamental types are GaugeVec, CounterVec, SummaryVec,
+// and HistogramVec.
+//
+// While only the fundamental metric types implement the Metric interface, both
+// the metrics and their vector versions implement the Collector interface. A
+// Collector manages the collection of a number of Metrics, but for convenience,
+// a Metric can also “collect itself”. Note that Gauge, Counter, Summary, and
+// Histogram are interfaces themselves while GaugeVec, CounterVec, SummaryVec,
+// and HistogramVec are not.
+//
+// To create instances of Metrics and their vector versions, you need a suitable
+// …Opts struct, i.e. GaugeOpts, CounterOpts, SummaryOpts, or HistogramOpts.
+//
+// # Custom Collectors and constant Metrics
+//
+// While you could create your own implementations of Metric, most likely you
+// will only ever implement the Collector interface on your own. At a first
+// glance, a custom Collector seems handy to bundle Metrics for common
+// registration (with the prime example of the different metric vectors above,
+// which bundle all the metrics of the same name but with different labels).
+//
+// There is a more involved use case, too: If you already have metrics
+// available, created outside of the Prometheus context, you don't need the
+// interface of the various Metric types. You essentially want to mirror the
+// existing numbers into Prometheus Metrics during collection. An own
+// implementation of the Collector interface is perfect for that. You can create
+// Metric instances “on the fly” using NewConstMetric, NewConstHistogram, and
+// NewConstSummary (and their respective Must… versions). NewConstMetric is used
+// for all metric types with just a float64 as their value: Counter, Gauge, and
+// a special “type” called Untyped. Use the latter if you are not sure if the
+// mirrored metric is a Counter or a Gauge. Creation of the Metric instance
+// happens in the Collect method. The Describe method has to return separate
+// Desc instances, representative of the “throw-away” metrics to be created
+// later.  NewDesc comes in handy to create those Desc instances. Alternatively,
+// you could return no Desc at all, which will mark the Collector “unchecked”.
+// No checks are performed at registration time, but metric consistency will
+// still be ensured at scrape time, i.e. any inconsistencies will lead to scrape
+// errors. Thus, with unchecked Collectors, the responsibility to not collect
+// metrics that lead to inconsistencies in the total scrape result lies with the
+// implementer of the Collector. While this is not a desirable state, it is
+// sometimes necessary. The typical use case is a situation where the exact
+// metrics to be returned by a Collector cannot be predicted at registration
+// time, but the implementer has sufficient knowledge of the whole system to
+// guarantee metric consistency.
+//
+// The Collector example illustrates the use case. You can also look at the
+// source code of the processCollector (mirroring process metrics), the
+// goCollector (mirroring Go metrics), or the expvarCollector (mirroring expvar
+// metrics) as examples that are used in this package itself.
+//
+// If you just need to call a function to get a single float value to collect as
+// a metric, GaugeFunc, CounterFunc, or UntypedFunc might be interesting
+// shortcuts.
+//
+// # Advanced Uses of the Registry
+//
+// While MustRegister is the by far most common way of registering a Collector,
+// sometimes you might want to handle the errors the registration might cause.
+// As suggested by the name, MustRegister panics if an error occurs. With the
+// Register function, the error is returned and can be handled.
+//
+// An error is returned if the registered Collector is incompatible or
+// inconsistent with already registered metrics. The registry aims for
+// consistency of the collected metrics according to the Prometheus data model.
+// Inconsistencies are ideally detected at registration time, not at collect
+// time. The former will usually be detected at start-up time of a program,
+// while the latter will only happen at scrape time, possibly not even on the
+// first scrape if the inconsistency only becomes relevant later. That is the
+// main reason why a Collector and a Metric have to describe themselves to the
+// registry.
+//
+// So far, everything we did operated on the so-called default registry, as it
+// can be found in the global DefaultRegisterer variable. With NewRegistry, you
+// can create a custom registry, or you can even implement the Registerer or
+// Gatherer interfaces yourself. The methods Register and Unregister work in the
+// same way on a custom registry as the global functions Register and Unregister
+// on the default registry.
+//
+// There are a number of uses for custom registries: You can use registries with
+// special properties, see NewPedanticRegistry. You can avoid global state, as
+// it is imposed by the DefaultRegisterer. You can use multiple registries at
+// the same time to expose different metrics in different ways.  You can use
+// separate registries for testing purposes.
+//
+// Also note that the DefaultRegisterer comes registered with a Collector for Go
+// runtime metrics (via NewGoCollector) and a Collector for process metrics (via
+// NewProcessCollector). With a custom registry, you are in control and decide
+// yourself about the Collectors to register.
+//
+// # HTTP Exposition
+//
+// The Registry implements the Gatherer interface. The caller of the Gather
+// method can then expose the gathered metrics in some way. Usually, the metrics
+// are served via HTTP on the /metrics endpoint. That's happening in the example
+// above. The tools to expose metrics via HTTP are in the promhttp sub-package.
+//
+// # Pushing to the Pushgateway
+//
+// Function for pushing to the Pushgateway can be found in the push sub-package.
+//
+// # Graphite Bridge
+//
+// Functions and examples to push metrics from a Gatherer to Graphite can be
+// found in the graphite sub-package.
+//
+// # Other Means of Exposition
+//
+// More ways of exposing metrics can easily be added by following the approaches
+// of the existing implementations.
+package prometheus
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/expvar_collector.go b/vendor/github.com/prometheus/client_golang/prometheus/expvar_collector.go
new file mode 100644
index 000000000..de5a85629
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/expvar_collector.go
@@ -0,0 +1,86 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"encoding/json"
+	"expvar"
+)
+
+type expvarCollector struct {
+	exports map[string]*Desc
+}
+
+// NewExpvarCollector is the obsolete version of collectors.NewExpvarCollector.
+// See there for documentation.
+//
+// Deprecated: Use collectors.NewExpvarCollector instead.
+func NewExpvarCollector(exports map[string]*Desc) Collector {
+	return &expvarCollector{
+		exports: exports,
+	}
+}
+
+// Describe implements Collector.
+func (e *expvarCollector) Describe(ch chan<- *Desc) {
+	for _, desc := range e.exports {
+		ch <- desc
+	}
+}
+
+// Collect implements Collector.
+func (e *expvarCollector) Collect(ch chan<- Metric) {
+	for name, desc := range e.exports {
+		var m Metric
+		expVar := expvar.Get(name)
+		if expVar == nil {
+			continue
+		}
+		var v interface{}
+		labels := make([]string, len(desc.variableLabels.names))
+		if err := json.Unmarshal([]byte(expVar.String()), &v); err != nil {
+			ch <- NewInvalidMetric(desc, err)
+			continue
+		}
+		var processValue func(v interface{}, i int)
+		processValue = func(v interface{}, i int) {
+			if i >= len(labels) {
+				copiedLabels := append(make([]string, 0, len(labels)), labels...)
+				switch v := v.(type) {
+				case float64:
+					m = MustNewConstMetric(desc, UntypedValue, v, copiedLabels...)
+				case bool:
+					if v {
+						m = MustNewConstMetric(desc, UntypedValue, 1, copiedLabels...)
+					} else {
+						m = MustNewConstMetric(desc, UntypedValue, 0, copiedLabels...)
+					}
+				default:
+					return
+				}
+				ch <- m
+				return
+			}
+			vm, ok := v.(map[string]interface{})
+			if !ok {
+				return
+			}
+			for lv, val := range vm {
+				labels[i] = lv
+				processValue(val, i+1)
+			}
+		}
+		processValue(v, 0)
+	}
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/fnv.go b/vendor/github.com/prometheus/client_golang/prometheus/fnv.go
new file mode 100644
index 000000000..3d383a735
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/fnv.go
@@ -0,0 +1,42 @@
+// Copyright 2018 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+// Inline and byte-free variant of hash/fnv's fnv64a.
+
+const (
+	offset64 = 14695981039346656037
+	prime64  = 1099511628211
+)
+
+// hashNew initializies a new fnv64a hash value.
+func hashNew() uint64 {
+	return offset64
+}
+
+// hashAdd adds a string to a fnv64a hash value, returning the updated hash.
+func hashAdd(h uint64, s string) uint64 {
+	for i := 0; i < len(s); i++ {
+		h ^= uint64(s[i])
+		h *= prime64
+	}
+	return h
+}
+
+// hashAddByte adds a byte to a fnv64a hash value, returning the updated hash.
+func hashAddByte(h uint64, b byte) uint64 {
+	h ^= uint64(b)
+	h *= prime64
+	return h
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/gauge.go b/vendor/github.com/prometheus/client_golang/prometheus/gauge.go
new file mode 100644
index 000000000..dd2eac940
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/gauge.go
@@ -0,0 +1,311 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"math"
+	"sync/atomic"
+	"time"
+
+	dto "github.com/prometheus/client_model/go"
+)
+
+// Gauge is a Metric that represents a single numerical value that can
+// arbitrarily go up and down.
+//
+// A Gauge is typically used for measured values like temperatures or current
+// memory usage, but also "counts" that can go up and down, like the number of
+// running goroutines.
+//
+// To create Gauge instances, use NewGauge.
+type Gauge interface {
+	Metric
+	Collector
+
+	// Set sets the Gauge to an arbitrary value.
+	Set(float64)
+	// Inc increments the Gauge by 1. Use Add to increment it by arbitrary
+	// values.
+	Inc()
+	// Dec decrements the Gauge by 1. Use Sub to decrement it by arbitrary
+	// values.
+	Dec()
+	// Add adds the given value to the Gauge. (The value can be negative,
+	// resulting in a decrease of the Gauge.)
+	Add(float64)
+	// Sub subtracts the given value from the Gauge. (The value can be
+	// negative, resulting in an increase of the Gauge.)
+	Sub(float64)
+
+	// SetToCurrentTime sets the Gauge to the current Unix time in seconds.
+	SetToCurrentTime()
+}
+
+// GaugeOpts is an alias for Opts. See there for doc comments.
+type GaugeOpts Opts
+
+// GaugeVecOpts bundles the options to create a GaugeVec metric.
+// It is mandatory to set GaugeOpts, see there for mandatory fields. VariableLabels
+// is optional and can safely be left to its default value.
+type GaugeVecOpts struct {
+	GaugeOpts
+
+	// VariableLabels are used to partition the metric vector by the given set
+	// of labels. Each label value will be constrained with the optional Constraint
+	// function, if provided.
+	VariableLabels ConstrainableLabels
+}
+
+// NewGauge creates a new Gauge based on the provided GaugeOpts.
+//
+// The returned implementation is optimized for a fast Set method. If you have a
+// choice for managing the value of a Gauge via Set vs. Inc/Dec/Add/Sub, pick
+// the former. For example, the Inc method of the returned Gauge is slower than
+// the Inc method of a Counter returned by NewCounter. This matches the typical
+// scenarios for Gauges and Counters, where the former tends to be Set-heavy and
+// the latter Inc-heavy.
+func NewGauge(opts GaugeOpts) Gauge {
+	desc := NewDesc(
+		BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+		opts.Help,
+		nil,
+		opts.ConstLabels,
+	)
+	result := &gauge{desc: desc, labelPairs: desc.constLabelPairs}
+	result.init(result) // Init self-collection.
+	return result
+}
+
+type gauge struct {
+	// valBits contains the bits of the represented float64 value. It has
+	// to go first in the struct to guarantee alignment for atomic
+	// operations.  http://golang.org/pkg/sync/atomic/#pkg-note-BUG
+	valBits uint64
+
+	selfCollector
+
+	desc       *Desc
+	labelPairs []*dto.LabelPair
+}
+
+func (g *gauge) Desc() *Desc {
+	return g.desc
+}
+
+func (g *gauge) Set(val float64) {
+	atomic.StoreUint64(&g.valBits, math.Float64bits(val))
+}
+
+func (g *gauge) SetToCurrentTime() {
+	g.Set(float64(time.Now().UnixNano()) / 1e9)
+}
+
+func (g *gauge) Inc() {
+	g.Add(1)
+}
+
+func (g *gauge) Dec() {
+	g.Add(-1)
+}
+
+func (g *gauge) Add(val float64) {
+	for {
+		oldBits := atomic.LoadUint64(&g.valBits)
+		newBits := math.Float64bits(math.Float64frombits(oldBits) + val)
+		if atomic.CompareAndSwapUint64(&g.valBits, oldBits, newBits) {
+			return
+		}
+	}
+}
+
+func (g *gauge) Sub(val float64) {
+	g.Add(val * -1)
+}
+
+func (g *gauge) Write(out *dto.Metric) error {
+	val := math.Float64frombits(atomic.LoadUint64(&g.valBits))
+	return populateMetric(GaugeValue, val, g.labelPairs, nil, out, nil)
+}
+
+// GaugeVec is a Collector that bundles a set of Gauges that all share the same
+// Desc, but have different values for their variable labels. This is used if
+// you want to count the same thing partitioned by various dimensions
+// (e.g. number of operations queued, partitioned by user and operation
+// type). Create instances with NewGaugeVec.
+type GaugeVec struct {
+	*MetricVec
+}
+
+// NewGaugeVec creates a new GaugeVec based on the provided GaugeOpts and
+// partitioned by the given label names.
+func NewGaugeVec(opts GaugeOpts, labelNames []string) *GaugeVec {
+	return V2.NewGaugeVec(GaugeVecOpts{
+		GaugeOpts:      opts,
+		VariableLabels: UnconstrainedLabels(labelNames),
+	})
+}
+
+// NewGaugeVec creates a new GaugeVec based on the provided GaugeVecOpts.
+func (v2) NewGaugeVec(opts GaugeVecOpts) *GaugeVec {
+	desc := V2.NewDesc(
+		BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+		opts.Help,
+		opts.VariableLabels,
+		opts.ConstLabels,
+	)
+	return &GaugeVec{
+		MetricVec: NewMetricVec(desc, func(lvs ...string) Metric {
+			if len(lvs) != len(desc.variableLabels.names) {
+				panic(makeInconsistentCardinalityError(desc.fqName, desc.variableLabels.names, lvs))
+			}
+			result := &gauge{desc: desc, labelPairs: MakeLabelPairs(desc, lvs)}
+			result.init(result) // Init self-collection.
+			return result
+		}),
+	}
+}
+
+// GetMetricWithLabelValues returns the Gauge for the given slice of label
+// values (same order as the variable labels in Desc). If that combination of
+// label values is accessed for the first time, a new Gauge is created.
+//
+// It is possible to call this method without using the returned Gauge to only
+// create the new Gauge but leave it at its starting value 0. See also the
+// SummaryVec example.
+//
+// Keeping the Gauge for later use is possible (and should be considered if
+// performance is critical), but keep in mind that Reset, DeleteLabelValues and
+// Delete can be used to delete the Gauge from the GaugeVec. In that case, the
+// Gauge will still exist, but it will not be exported anymore, even if a
+// Gauge with the same label values is created later. See also the CounterVec
+// example.
+//
+// An error is returned if the number of label values is not the same as the
+// number of variable labels in Desc (minus any curried labels).
+//
+// Note that for more than one label value, this method is prone to mistakes
+// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
+// an alternative to avoid that type of mistake. For higher label numbers, the
+// latter has a much more readable (albeit more verbose) syntax, but it comes
+// with a performance overhead (for creating and processing the Labels map).
+func (v *GaugeVec) GetMetricWithLabelValues(lvs ...string) (Gauge, error) {
+	metric, err := v.MetricVec.GetMetricWithLabelValues(lvs...)
+	if metric != nil {
+		return metric.(Gauge), err
+	}
+	return nil, err
+}
+
+// GetMetricWith returns the Gauge for the given Labels map (the label names
+// must match those of the variable labels in Desc). If that label map is
+// accessed for the first time, a new Gauge is created. Implications of
+// creating a Gauge without using it and keeping the Gauge for later use are
+// the same as for GetMetricWithLabelValues.
+//
+// An error is returned if the number and names of the Labels are inconsistent
+// with those of the variable labels in Desc (minus any curried labels).
+//
+// This method is used for the same purpose as
+// GetMetricWithLabelValues(...string). See there for pros and cons of the two
+// methods.
+func (v *GaugeVec) GetMetricWith(labels Labels) (Gauge, error) {
+	metric, err := v.MetricVec.GetMetricWith(labels)
+	if metric != nil {
+		return metric.(Gauge), err
+	}
+	return nil, err
+}
+
+// WithLabelValues works as GetMetricWithLabelValues, but panics where
+// GetMetricWithLabelValues would have returned an error. Not returning an
+// error allows shortcuts like
+//
+//	myVec.WithLabelValues("404", "GET").Add(42)
+func (v *GaugeVec) WithLabelValues(lvs ...string) Gauge {
+	g, err := v.GetMetricWithLabelValues(lvs...)
+	if err != nil {
+		panic(err)
+	}
+	return g
+}
+
+// With works as GetMetricWith, but panics where GetMetricWithLabels would have
+// returned an error. Not returning an error allows shortcuts like
+//
+//	myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Add(42)
+func (v *GaugeVec) With(labels Labels) Gauge {
+	g, err := v.GetMetricWith(labels)
+	if err != nil {
+		panic(err)
+	}
+	return g
+}
+
+// CurryWith returns a vector curried with the provided labels, i.e. the
+// returned vector has those labels pre-set for all labeled operations performed
+// on it. The cardinality of the curried vector is reduced accordingly. The
+// order of the remaining labels stays the same (just with the curried labels
+// taken out of the sequence – which is relevant for the
+// (GetMetric)WithLabelValues methods). It is possible to curry a curried
+// vector, but only with labels not yet used for currying before.
+//
+// The metrics contained in the GaugeVec are shared between the curried and
+// uncurried vectors. They are just accessed differently. Curried and uncurried
+// vectors behave identically in terms of collection. Only one must be
+// registered with a given registry (usually the uncurried version). The Reset
+// method deletes all metrics, even if called on a curried vector.
+func (v *GaugeVec) CurryWith(labels Labels) (*GaugeVec, error) {
+	vec, err := v.MetricVec.CurryWith(labels)
+	if vec != nil {
+		return &GaugeVec{vec}, err
+	}
+	return nil, err
+}
+
+// MustCurryWith works as CurryWith but panics where CurryWith would have
+// returned an error.
+func (v *GaugeVec) MustCurryWith(labels Labels) *GaugeVec {
+	vec, err := v.CurryWith(labels)
+	if err != nil {
+		panic(err)
+	}
+	return vec
+}
+
+// GaugeFunc is a Gauge whose value is determined at collect time by calling a
+// provided function.
+//
+// To create GaugeFunc instances, use NewGaugeFunc.
+type GaugeFunc interface {
+	Metric
+	Collector
+}
+
+// NewGaugeFunc creates a new GaugeFunc based on the provided GaugeOpts. The
+// value reported is determined by calling the given function from within the
+// Write method. Take into account that metric collection may happen
+// concurrently. Therefore, it must be safe to call the provided function
+// concurrently.
+//
+// NewGaugeFunc is a good way to create an “info” style metric with a constant
+// value of 1. Example:
+// https://github.com/prometheus/common/blob/8558a5b7db3c84fa38b4766966059a7bd5bfa2ee/version/info.go#L36-L56
+func NewGaugeFunc(opts GaugeOpts, function func() float64) GaugeFunc {
+	return newValueFunc(NewDesc(
+		BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+		opts.Help,
+		nil,
+		opts.ConstLabels,
+	), GaugeValue, function)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/get_pid.go b/vendor/github.com/prometheus/client_golang/prometheus/get_pid.go
new file mode 100644
index 000000000..614fd61be
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/get_pid.go
@@ -0,0 +1,26 @@
+// Copyright 2015 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+//go:build !js || wasm
+// +build !js wasm
+
+package prometheus
+
+import "os"
+
+func getPIDFn() func() (int, error) {
+	pid := os.Getpid()
+	return func() (int, error) {
+		return pid, nil
+	}
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/get_pid_gopherjs.go b/vendor/github.com/prometheus/client_golang/prometheus/get_pid_gopherjs.go
new file mode 100644
index 000000000..eaf8059ee
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/get_pid_gopherjs.go
@@ -0,0 +1,23 @@
+// Copyright 2015 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+//go:build js && !wasm
+// +build js,!wasm
+
+package prometheus
+
+func getPIDFn() func() (int, error) {
+	return func() (int, error) {
+		return 1, nil
+	}
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/go_collector.go b/vendor/github.com/prometheus/client_golang/prometheus/go_collector.go
new file mode 100644
index 000000000..ad9a71a5e
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/go_collector.go
@@ -0,0 +1,281 @@
+// Copyright 2018 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"runtime"
+	"runtime/debug"
+	"time"
+)
+
+// goRuntimeMemStats provides the metrics initially provided by runtime.ReadMemStats.
+// From Go 1.17 those similar (and better) statistics are provided by runtime/metrics, so
+// while eval closure works on runtime.MemStats, the struct from Go 1.17+ is
+// populated using runtime/metrics.
+func goRuntimeMemStats() memStatsMetrics {
+	return memStatsMetrics{
+		{
+			desc: NewDesc(
+				memstatNamespace("alloc_bytes"),
+				"Number of bytes allocated and still in use.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.Alloc) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("alloc_bytes_total"),
+				"Total number of bytes allocated, even if freed.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.TotalAlloc) },
+			valType: CounterValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("sys_bytes"),
+				"Number of bytes obtained from system.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.Sys) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("lookups_total"),
+				"Total number of pointer lookups.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.Lookups) },
+			valType: CounterValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("mallocs_total"),
+				"Total number of mallocs.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.Mallocs) },
+			valType: CounterValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("frees_total"),
+				"Total number of frees.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.Frees) },
+			valType: CounterValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("heap_alloc_bytes"),
+				"Number of heap bytes allocated and still in use.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.HeapAlloc) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("heap_sys_bytes"),
+				"Number of heap bytes obtained from system.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.HeapSys) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("heap_idle_bytes"),
+				"Number of heap bytes waiting to be used.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.HeapIdle) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("heap_inuse_bytes"),
+				"Number of heap bytes that are in use.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.HeapInuse) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("heap_released_bytes"),
+				"Number of heap bytes released to OS.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.HeapReleased) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("heap_objects"),
+				"Number of allocated objects.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.HeapObjects) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("stack_inuse_bytes"),
+				"Number of bytes in use by the stack allocator.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.StackInuse) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("stack_sys_bytes"),
+				"Number of bytes obtained from system for stack allocator.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.StackSys) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("mspan_inuse_bytes"),
+				"Number of bytes in use by mspan structures.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.MSpanInuse) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("mspan_sys_bytes"),
+				"Number of bytes used for mspan structures obtained from system.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.MSpanSys) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("mcache_inuse_bytes"),
+				"Number of bytes in use by mcache structures.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.MCacheInuse) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("mcache_sys_bytes"),
+				"Number of bytes used for mcache structures obtained from system.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.MCacheSys) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("buck_hash_sys_bytes"),
+				"Number of bytes used by the profiling bucket hash table.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.BuckHashSys) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("gc_sys_bytes"),
+				"Number of bytes used for garbage collection system metadata.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.GCSys) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("other_sys_bytes"),
+				"Number of bytes used for other system allocations.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.OtherSys) },
+			valType: GaugeValue,
+		}, {
+			desc: NewDesc(
+				memstatNamespace("next_gc_bytes"),
+				"Number of heap bytes when next garbage collection will take place.",
+				nil, nil,
+			),
+			eval:    func(ms *runtime.MemStats) float64 { return float64(ms.NextGC) },
+			valType: GaugeValue,
+		},
+	}
+}
+
+type baseGoCollector struct {
+	goroutinesDesc *Desc
+	threadsDesc    *Desc
+	gcDesc         *Desc
+	gcLastTimeDesc *Desc
+	goInfoDesc     *Desc
+}
+
+func newBaseGoCollector() baseGoCollector {
+	return baseGoCollector{
+		goroutinesDesc: NewDesc(
+			"go_goroutines",
+			"Number of goroutines that currently exist.",
+			nil, nil),
+		threadsDesc: NewDesc(
+			"go_threads",
+			"Number of OS threads created.",
+			nil, nil),
+		gcDesc: NewDesc(
+			"go_gc_duration_seconds",
+			"A summary of the pause duration of garbage collection cycles.",
+			nil, nil),
+		gcLastTimeDesc: NewDesc(
+			"go_memstats_last_gc_time_seconds",
+			"Number of seconds since 1970 of last garbage collection.",
+			nil, nil),
+		goInfoDesc: NewDesc(
+			"go_info",
+			"Information about the Go environment.",
+			nil, Labels{"version": runtime.Version()}),
+	}
+}
+
+// Describe returns all descriptions of the collector.
+func (c *baseGoCollector) Describe(ch chan<- *Desc) {
+	ch <- c.goroutinesDesc
+	ch <- c.threadsDesc
+	ch <- c.gcDesc
+	ch <- c.gcLastTimeDesc
+	ch <- c.goInfoDesc
+}
+
+// Collect returns the current state of all metrics of the collector.
+func (c *baseGoCollector) Collect(ch chan<- Metric) {
+	ch <- MustNewConstMetric(c.goroutinesDesc, GaugeValue, float64(runtime.NumGoroutine()))
+
+	n := getRuntimeNumThreads()
+	ch <- MustNewConstMetric(c.threadsDesc, GaugeValue, n)
+
+	var stats debug.GCStats
+	stats.PauseQuantiles = make([]time.Duration, 5)
+	debug.ReadGCStats(&stats)
+
+	quantiles := make(map[float64]float64)
+	for idx, pq := range stats.PauseQuantiles[1:] {
+		quantiles[float64(idx+1)/float64(len(stats.PauseQuantiles)-1)] = pq.Seconds()
+	}
+	quantiles[0.0] = stats.PauseQuantiles[0].Seconds()
+	ch <- MustNewConstSummary(c.gcDesc, uint64(stats.NumGC), stats.PauseTotal.Seconds(), quantiles)
+	ch <- MustNewConstMetric(c.gcLastTimeDesc, GaugeValue, float64(stats.LastGC.UnixNano())/1e9)
+	ch <- MustNewConstMetric(c.goInfoDesc, GaugeValue, 1)
+}
+
+func memstatNamespace(s string) string {
+	return "go_memstats_" + s
+}
+
+// memStatsMetrics provide description, evaluator, runtime/metrics name, and
+// value type for memstat metrics.
+type memStatsMetrics []struct {
+	desc    *Desc
+	eval    func(*runtime.MemStats) float64
+	valType ValueType
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/go_collector_go116.go b/vendor/github.com/prometheus/client_golang/prometheus/go_collector_go116.go
new file mode 100644
index 000000000..897a6e906
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/go_collector_go116.go
@@ -0,0 +1,122 @@
+// Copyright 2021 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+//go:build !go1.17
+// +build !go1.17
+
+package prometheus
+
+import (
+	"runtime"
+	"sync"
+	"time"
+)
+
+type goCollector struct {
+	base baseGoCollector
+
+	// ms... are memstats related.
+	msLast          *runtime.MemStats // Previously collected memstats.
+	msLastTimestamp time.Time
+	msMtx           sync.Mutex // Protects msLast and msLastTimestamp.
+	msMetrics       memStatsMetrics
+	msRead          func(*runtime.MemStats) // For mocking in tests.
+	msMaxWait       time.Duration           // Wait time for fresh memstats.
+	msMaxAge        time.Duration           // Maximum allowed age of old memstats.
+}
+
+// NewGoCollector is the obsolete version of collectors.NewGoCollector.
+// See there for documentation.
+//
+// Deprecated: Use collectors.NewGoCollector instead.
+func NewGoCollector() Collector {
+	msMetrics := goRuntimeMemStats()
+	msMetrics = append(msMetrics, struct {
+		desc    *Desc
+		eval    func(*runtime.MemStats) float64
+		valType ValueType
+	}{
+		// This metric is omitted in Go1.17+, see https://github.com/prometheus/client_golang/issues/842#issuecomment-861812034
+		desc: NewDesc(
+			memstatNamespace("gc_cpu_fraction"),
+			"The fraction of this program's available CPU time used by the GC since the program started.",
+			nil, nil,
+		),
+		eval:    func(ms *runtime.MemStats) float64 { return ms.GCCPUFraction },
+		valType: GaugeValue,
+	})
+	return &goCollector{
+		base:      newBaseGoCollector(),
+		msLast:    &runtime.MemStats{},
+		msRead:    runtime.ReadMemStats,
+		msMaxWait: time.Second,
+		msMaxAge:  5 * time.Minute,
+		msMetrics: msMetrics,
+	}
+}
+
+// Describe returns all descriptions of the collector.
+func (c *goCollector) Describe(ch chan<- *Desc) {
+	c.base.Describe(ch)
+	for _, i := range c.msMetrics {
+		ch <- i.desc
+	}
+}
+
+// Collect returns the current state of all metrics of the collector.
+func (c *goCollector) Collect(ch chan<- Metric) {
+	var (
+		ms   = &runtime.MemStats{}
+		done = make(chan struct{})
+	)
+	// Start reading memstats first as it might take a while.
+	go func() {
+		c.msRead(ms)
+		c.msMtx.Lock()
+		c.msLast = ms
+		c.msLastTimestamp = time.Now()
+		c.msMtx.Unlock()
+		close(done)
+	}()
+
+	// Collect base non-memory metrics.
+	c.base.Collect(ch)
+
+	timer := time.NewTimer(c.msMaxWait)
+	select {
+	case <-done: // Our own ReadMemStats succeeded in time. Use it.
+		timer.Stop() // Important for high collection frequencies to not pile up timers.
+		c.msCollect(ch, ms)
+		return
+	case <-timer.C: // Time out, use last memstats if possible. Continue below.
+	}
+	c.msMtx.Lock()
+	if time.Since(c.msLastTimestamp) < c.msMaxAge {
+		// Last memstats are recent enough. Collect from them under the lock.
+		c.msCollect(ch, c.msLast)
+		c.msMtx.Unlock()
+		return
+	}
+	// If we are here, the last memstats are too old or don't exist. We have
+	// to wait until our own ReadMemStats finally completes. For that to
+	// happen, we have to release the lock.
+	c.msMtx.Unlock()
+	<-done
+	c.msCollect(ch, ms)
+}
+
+func (c *goCollector) msCollect(ch chan<- Metric, ms *runtime.MemStats) {
+	for _, i := range c.msMetrics {
+		ch <- MustNewConstMetric(i.desc, i.valType, i.eval(ms))
+	}
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/go_collector_latest.go b/vendor/github.com/prometheus/client_golang/prometheus/go_collector_latest.go
new file mode 100644
index 000000000..2d8d9f64f
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/go_collector_latest.go
@@ -0,0 +1,567 @@
+// Copyright 2021 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+//go:build go1.17
+// +build go1.17
+
+package prometheus
+
+import (
+	"math"
+	"runtime"
+	"runtime/metrics"
+	"strings"
+	"sync"
+
+	"github.com/prometheus/client_golang/prometheus/internal"
+
+	dto "github.com/prometheus/client_model/go"
+	"google.golang.org/protobuf/proto"
+)
+
+const (
+	// constants for strings referenced more than once.
+	goGCHeapTinyAllocsObjects               = "/gc/heap/tiny/allocs:objects"
+	goGCHeapAllocsObjects                   = "/gc/heap/allocs:objects"
+	goGCHeapFreesObjects                    = "/gc/heap/frees:objects"
+	goGCHeapFreesBytes                      = "/gc/heap/frees:bytes"
+	goGCHeapAllocsBytes                     = "/gc/heap/allocs:bytes"
+	goGCHeapObjects                         = "/gc/heap/objects:objects"
+	goGCHeapGoalBytes                       = "/gc/heap/goal:bytes"
+	goMemoryClassesTotalBytes               = "/memory/classes/total:bytes"
+	goMemoryClassesHeapObjectsBytes         = "/memory/classes/heap/objects:bytes"
+	goMemoryClassesHeapUnusedBytes          = "/memory/classes/heap/unused:bytes"
+	goMemoryClassesHeapReleasedBytes        = "/memory/classes/heap/released:bytes"
+	goMemoryClassesHeapFreeBytes            = "/memory/classes/heap/free:bytes"
+	goMemoryClassesHeapStacksBytes          = "/memory/classes/heap/stacks:bytes"
+	goMemoryClassesOSStacksBytes            = "/memory/classes/os-stacks:bytes"
+	goMemoryClassesMetadataMSpanInuseBytes  = "/memory/classes/metadata/mspan/inuse:bytes"
+	goMemoryClassesMetadataMSPanFreeBytes   = "/memory/classes/metadata/mspan/free:bytes"
+	goMemoryClassesMetadataMCacheInuseBytes = "/memory/classes/metadata/mcache/inuse:bytes"
+	goMemoryClassesMetadataMCacheFreeBytes  = "/memory/classes/metadata/mcache/free:bytes"
+	goMemoryClassesProfilingBucketsBytes    = "/memory/classes/profiling/buckets:bytes"
+	goMemoryClassesMetadataOtherBytes       = "/memory/classes/metadata/other:bytes"
+	goMemoryClassesOtherBytes               = "/memory/classes/other:bytes"
+)
+
+// rmNamesForMemStatsMetrics represents runtime/metrics names required to populate goRuntimeMemStats from like logic.
+var rmNamesForMemStatsMetrics = []string{
+	goGCHeapTinyAllocsObjects,
+	goGCHeapAllocsObjects,
+	goGCHeapFreesObjects,
+	goGCHeapAllocsBytes,
+	goGCHeapObjects,
+	goGCHeapGoalBytes,
+	goMemoryClassesTotalBytes,
+	goMemoryClassesHeapObjectsBytes,
+	goMemoryClassesHeapUnusedBytes,
+	goMemoryClassesHeapReleasedBytes,
+	goMemoryClassesHeapFreeBytes,
+	goMemoryClassesHeapStacksBytes,
+	goMemoryClassesOSStacksBytes,
+	goMemoryClassesMetadataMSpanInuseBytes,
+	goMemoryClassesMetadataMSPanFreeBytes,
+	goMemoryClassesMetadataMCacheInuseBytes,
+	goMemoryClassesMetadataMCacheFreeBytes,
+	goMemoryClassesProfilingBucketsBytes,
+	goMemoryClassesMetadataOtherBytes,
+	goMemoryClassesOtherBytes,
+}
+
+func bestEffortLookupRM(lookup []string) []metrics.Description {
+	ret := make([]metrics.Description, 0, len(lookup))
+	for _, rm := range metrics.All() {
+		for _, m := range lookup {
+			if m == rm.Name {
+				ret = append(ret, rm)
+			}
+		}
+	}
+	return ret
+}
+
+type goCollector struct {
+	base baseGoCollector
+
+	// mu protects updates to all fields ensuring a consistent
+	// snapshot is always produced by Collect.
+	mu sync.Mutex
+
+	// Contains all samples that has to retrieved from runtime/metrics (not all of them will be exposed).
+	sampleBuf []metrics.Sample
+	// sampleMap allows lookup for MemStats metrics and runtime/metrics histograms for exact sums.
+	sampleMap map[string]*metrics.Sample
+
+	// rmExposedMetrics represents all runtime/metrics package metrics
+	// that were configured to be exposed.
+	rmExposedMetrics     []collectorMetric
+	rmExactSumMapForHist map[string]string
+
+	// With Go 1.17, the runtime/metrics package was introduced.
+	// From that point on, metric names produced by the runtime/metrics
+	// package could be generated from runtime/metrics names. However,
+	// these differ from the old names for the same values.
+	//
+	// This field exists to export the same values under the old names
+	// as well.
+	msMetrics        memStatsMetrics
+	msMetricsEnabled bool
+}
+
+type rmMetricDesc struct {
+	metrics.Description
+}
+
+func matchRuntimeMetricsRules(rules []internal.GoCollectorRule) []rmMetricDesc {
+	var descs []rmMetricDesc
+	for _, d := range metrics.All() {
+		var (
+			deny = true
+			desc rmMetricDesc
+		)
+
+		for _, r := range rules {
+			if !r.Matcher.MatchString(d.Name) {
+				continue
+			}
+			deny = r.Deny
+		}
+		if deny {
+			continue
+		}
+
+		desc.Description = d
+		descs = append(descs, desc)
+	}
+	return descs
+}
+
+func defaultGoCollectorOptions() internal.GoCollectorOptions {
+	return internal.GoCollectorOptions{
+		RuntimeMetricSumForHist: map[string]string{
+			"/gc/heap/allocs-by-size:bytes": goGCHeapAllocsBytes,
+			"/gc/heap/frees-by-size:bytes":  goGCHeapFreesBytes,
+		},
+		RuntimeMetricRules: []internal.GoCollectorRule{
+			//{Matcher: regexp.MustCompile("")},
+		},
+	}
+}
+
+// NewGoCollector is the obsolete version of collectors.NewGoCollector.
+// See there for documentation.
+//
+// Deprecated: Use collectors.NewGoCollector instead.
+func NewGoCollector(opts ...func(o *internal.GoCollectorOptions)) Collector {
+	opt := defaultGoCollectorOptions()
+	for _, o := range opts {
+		o(&opt)
+	}
+
+	exposedDescriptions := matchRuntimeMetricsRules(opt.RuntimeMetricRules)
+
+	// Collect all histogram samples so that we can get their buckets.
+	// The API guarantees that the buckets are always fixed for the lifetime
+	// of the process.
+	var histograms []metrics.Sample
+	for _, d := range exposedDescriptions {
+		if d.Kind == metrics.KindFloat64Histogram {
+			histograms = append(histograms, metrics.Sample{Name: d.Name})
+		}
+	}
+
+	if len(histograms) > 0 {
+		metrics.Read(histograms)
+	}
+
+	bucketsMap := make(map[string][]float64)
+	for i := range histograms {
+		bucketsMap[histograms[i].Name] = histograms[i].Value.Float64Histogram().Buckets
+	}
+
+	// Generate a collector for each exposed runtime/metrics metric.
+	metricSet := make([]collectorMetric, 0, len(exposedDescriptions))
+	// SampleBuf is used for reading from runtime/metrics.
+	// We are assuming the largest case to have stable pointers for sampleMap purposes.
+	sampleBuf := make([]metrics.Sample, 0, len(exposedDescriptions)+len(opt.RuntimeMetricSumForHist)+len(rmNamesForMemStatsMetrics))
+	sampleMap := make(map[string]*metrics.Sample, len(exposedDescriptions))
+	for _, d := range exposedDescriptions {
+		namespace, subsystem, name, ok := internal.RuntimeMetricsToProm(&d.Description)
+		if !ok {
+			// Just ignore this metric; we can't do anything with it here.
+			// If a user decides to use the latest version of Go, we don't want
+			// to fail here. This condition is tested in TestExpectedRuntimeMetrics.
+			continue
+		}
+
+		sampleBuf = append(sampleBuf, metrics.Sample{Name: d.Name})
+		sampleMap[d.Name] = &sampleBuf[len(sampleBuf)-1]
+
+		var m collectorMetric
+		if d.Kind == metrics.KindFloat64Histogram {
+			_, hasSum := opt.RuntimeMetricSumForHist[d.Name]
+			unit := d.Name[strings.IndexRune(d.Name, ':')+1:]
+			m = newBatchHistogram(
+				NewDesc(
+					BuildFQName(namespace, subsystem, name),
+					d.Description.Description,
+					nil,
+					nil,
+				),
+				internal.RuntimeMetricsBucketsForUnit(bucketsMap[d.Name], unit),
+				hasSum,
+			)
+		} else if d.Cumulative {
+			m = NewCounter(CounterOpts{
+				Namespace: namespace,
+				Subsystem: subsystem,
+				Name:      name,
+				Help:      d.Description.Description,
+			},
+			)
+		} else {
+			m = NewGauge(GaugeOpts{
+				Namespace: namespace,
+				Subsystem: subsystem,
+				Name:      name,
+				Help:      d.Description.Description,
+			})
+		}
+		metricSet = append(metricSet, m)
+	}
+
+	// Add exact sum metrics to sampleBuf if not added before.
+	for _, h := range histograms {
+		sumMetric, ok := opt.RuntimeMetricSumForHist[h.Name]
+		if !ok {
+			continue
+		}
+
+		if _, ok := sampleMap[sumMetric]; ok {
+			continue
+		}
+		sampleBuf = append(sampleBuf, metrics.Sample{Name: sumMetric})
+		sampleMap[sumMetric] = &sampleBuf[len(sampleBuf)-1]
+	}
+
+	var (
+		msMetrics      memStatsMetrics
+		msDescriptions []metrics.Description
+	)
+
+	if !opt.DisableMemStatsLikeMetrics {
+		msMetrics = goRuntimeMemStats()
+		msDescriptions = bestEffortLookupRM(rmNamesForMemStatsMetrics)
+
+		// Check if metric was not exposed before and if not, add to sampleBuf.
+		for _, mdDesc := range msDescriptions {
+			if _, ok := sampleMap[mdDesc.Name]; ok {
+				continue
+			}
+			sampleBuf = append(sampleBuf, metrics.Sample{Name: mdDesc.Name})
+			sampleMap[mdDesc.Name] = &sampleBuf[len(sampleBuf)-1]
+		}
+	}
+
+	return &goCollector{
+		base:                 newBaseGoCollector(),
+		sampleBuf:            sampleBuf,
+		sampleMap:            sampleMap,
+		rmExposedMetrics:     metricSet,
+		rmExactSumMapForHist: opt.RuntimeMetricSumForHist,
+		msMetrics:            msMetrics,
+		msMetricsEnabled:     !opt.DisableMemStatsLikeMetrics,
+	}
+}
+
+// Describe returns all descriptions of the collector.
+func (c *goCollector) Describe(ch chan<- *Desc) {
+	c.base.Describe(ch)
+	for _, i := range c.msMetrics {
+		ch <- i.desc
+	}
+	for _, m := range c.rmExposedMetrics {
+		ch <- m.Desc()
+	}
+}
+
+// Collect returns the current state of all metrics of the collector.
+func (c *goCollector) Collect(ch chan<- Metric) {
+	// Collect base non-memory metrics.
+	c.base.Collect(ch)
+
+	if len(c.sampleBuf) == 0 {
+		return
+	}
+
+	// Collect must be thread-safe, so prevent concurrent use of
+	// sampleBuf elements. Just read into sampleBuf but write all the data
+	// we get into our Metrics or MemStats.
+	//
+	// This lock also ensures that the Metrics we send out are all from
+	// the same updates, ensuring their mutual consistency insofar as
+	// is guaranteed by the runtime/metrics package.
+	//
+	// N.B. This locking is heavy-handed, but Collect is expected to be called
+	// relatively infrequently. Also the core operation here, metrics.Read,
+	// is fast (O(tens of microseconds)) so contention should certainly be
+	// low, though channel operations and any allocations may add to that.
+	c.mu.Lock()
+	defer c.mu.Unlock()
+
+	// Populate runtime/metrics sample buffer.
+	metrics.Read(c.sampleBuf)
+
+	// Collect all our runtime/metrics user chose to expose from sampleBuf (if any).
+	for i, metric := range c.rmExposedMetrics {
+		// We created samples for exposed metrics first in order, so indexes match.
+		sample := c.sampleBuf[i]
+
+		// N.B. switch on concrete type because it's significantly more efficient
+		// than checking for the Counter and Gauge interface implementations. In
+		// this case, we control all the types here.
+		switch m := metric.(type) {
+		case *counter:
+			// Guard against decreases. This should never happen, but a failure
+			// to do so will result in a panic, which is a harsh consequence for
+			// a metrics collection bug.
+			v0, v1 := m.get(), unwrapScalarRMValue(sample.Value)
+			if v1 > v0 {
+				m.Add(unwrapScalarRMValue(sample.Value) - m.get())
+			}
+			m.Collect(ch)
+		case *gauge:
+			m.Set(unwrapScalarRMValue(sample.Value))
+			m.Collect(ch)
+		case *batchHistogram:
+			m.update(sample.Value.Float64Histogram(), c.exactSumFor(sample.Name))
+			m.Collect(ch)
+		default:
+			panic("unexpected metric type")
+		}
+	}
+
+	if c.msMetricsEnabled {
+		// ms is a dummy MemStats that we populate ourselves so that we can
+		// populate the old metrics from it if goMemStatsCollection is enabled.
+		var ms runtime.MemStats
+		memStatsFromRM(&ms, c.sampleMap)
+		for _, i := range c.msMetrics {
+			ch <- MustNewConstMetric(i.desc, i.valType, i.eval(&ms))
+		}
+	}
+}
+
+// unwrapScalarRMValue unwraps a runtime/metrics value that is assumed
+// to be scalar and returns the equivalent float64 value. Panics if the
+// value is not scalar.
+func unwrapScalarRMValue(v metrics.Value) float64 {
+	switch v.Kind() {
+	case metrics.KindUint64:
+		return float64(v.Uint64())
+	case metrics.KindFloat64:
+		return v.Float64()
+	case metrics.KindBad:
+		// Unsupported metric.
+		//
+		// This should never happen because we always populate our metric
+		// set from the runtime/metrics package.
+		panic("unexpected unsupported metric")
+	default:
+		// Unsupported metric kind.
+		//
+		// This should never happen because we check for this during initialization
+		// and flag and filter metrics whose kinds we don't understand.
+		panic("unexpected unsupported metric kind")
+	}
+}
+
+// exactSumFor takes a runtime/metrics metric name (that is assumed to
+// be of kind KindFloat64Histogram) and returns its exact sum and whether
+// its exact sum exists.
+//
+// The runtime/metrics API for histograms doesn't currently expose exact
+// sums, but some of the other metrics are in fact exact sums of histograms.
+func (c *goCollector) exactSumFor(rmName string) float64 {
+	sumName, ok := c.rmExactSumMapForHist[rmName]
+	if !ok {
+		return 0
+	}
+	s, ok := c.sampleMap[sumName]
+	if !ok {
+		return 0
+	}
+	return unwrapScalarRMValue(s.Value)
+}
+
+func memStatsFromRM(ms *runtime.MemStats, rm map[string]*metrics.Sample) {
+	lookupOrZero := func(name string) uint64 {
+		if s, ok := rm[name]; ok {
+			return s.Value.Uint64()
+		}
+		return 0
+	}
+
+	// Currently, MemStats adds tiny alloc count to both Mallocs AND Frees.
+	// The reason for this is because MemStats couldn't be extended at the time
+	// but there was a desire to have Mallocs at least be a little more representative,
+	// while having Mallocs - Frees still represent a live object count.
+	// Unfortunately, MemStats doesn't actually export a large allocation count,
+	// so it's impossible to pull this number out directly.
+	tinyAllocs := lookupOrZero(goGCHeapTinyAllocsObjects)
+	ms.Mallocs = lookupOrZero(goGCHeapAllocsObjects) + tinyAllocs
+	ms.Frees = lookupOrZero(goGCHeapFreesObjects) + tinyAllocs
+
+	ms.TotalAlloc = lookupOrZero(goGCHeapAllocsBytes)
+	ms.Sys = lookupOrZero(goMemoryClassesTotalBytes)
+	ms.Lookups = 0 // Already always zero.
+	ms.HeapAlloc = lookupOrZero(goMemoryClassesHeapObjectsBytes)
+	ms.Alloc = ms.HeapAlloc
+	ms.HeapInuse = ms.HeapAlloc + lookupOrZero(goMemoryClassesHeapUnusedBytes)
+	ms.HeapReleased = lookupOrZero(goMemoryClassesHeapReleasedBytes)
+	ms.HeapIdle = ms.HeapReleased + lookupOrZero(goMemoryClassesHeapFreeBytes)
+	ms.HeapSys = ms.HeapInuse + ms.HeapIdle
+	ms.HeapObjects = lookupOrZero(goGCHeapObjects)
+	ms.StackInuse = lookupOrZero(goMemoryClassesHeapStacksBytes)
+	ms.StackSys = ms.StackInuse + lookupOrZero(goMemoryClassesOSStacksBytes)
+	ms.MSpanInuse = lookupOrZero(goMemoryClassesMetadataMSpanInuseBytes)
+	ms.MSpanSys = ms.MSpanInuse + lookupOrZero(goMemoryClassesMetadataMSPanFreeBytes)
+	ms.MCacheInuse = lookupOrZero(goMemoryClassesMetadataMCacheInuseBytes)
+	ms.MCacheSys = ms.MCacheInuse + lookupOrZero(goMemoryClassesMetadataMCacheFreeBytes)
+	ms.BuckHashSys = lookupOrZero(goMemoryClassesProfilingBucketsBytes)
+	ms.GCSys = lookupOrZero(goMemoryClassesMetadataOtherBytes)
+	ms.OtherSys = lookupOrZero(goMemoryClassesOtherBytes)
+	ms.NextGC = lookupOrZero(goGCHeapGoalBytes)
+
+	// N.B. GCCPUFraction is intentionally omitted. This metric is not useful,
+	// and often misleading due to the fact that it's an average over the lifetime
+	// of the process.
+	// See https://github.com/prometheus/client_golang/issues/842#issuecomment-861812034
+	// for more details.
+	ms.GCCPUFraction = 0
+}
+
+// batchHistogram is a mutable histogram that is updated
+// in batches.
+type batchHistogram struct {
+	selfCollector
+
+	// Static fields updated only once.
+	desc   *Desc
+	hasSum bool
+
+	// Because this histogram operates in batches, it just uses a
+	// single mutex for everything. updates are always serialized
+	// but Write calls may operate concurrently with updates.
+	// Contention between these two sources should be rare.
+	mu      sync.Mutex
+	buckets []float64 // Inclusive lower bounds, like runtime/metrics.
+	counts  []uint64
+	sum     float64 // Used if hasSum is true.
+}
+
+// newBatchHistogram creates a new batch histogram value with the given
+// Desc, buckets, and whether or not it has an exact sum available.
+//
+// buckets must always be from the runtime/metrics package, following
+// the same conventions.
+func newBatchHistogram(desc *Desc, buckets []float64, hasSum bool) *batchHistogram {
+	// We need to remove -Inf values. runtime/metrics keeps them around.
+	// But -Inf bucket should not be allowed for prometheus histograms.
+	if buckets[0] == math.Inf(-1) {
+		buckets = buckets[1:]
+	}
+	h := &batchHistogram{
+		desc:    desc,
+		buckets: buckets,
+		// Because buckets follows runtime/metrics conventions, there's
+		// 1 more value in the buckets list than there are buckets represented,
+		// because in runtime/metrics, the bucket values represent *boundaries*,
+		// and non-Inf boundaries are inclusive lower bounds for that bucket.
+		counts: make([]uint64, len(buckets)-1),
+		hasSum: hasSum,
+	}
+	h.init(h)
+	return h
+}
+
+// update updates the batchHistogram from a runtime/metrics histogram.
+//
+// sum must be provided if the batchHistogram was created to have an exact sum.
+// h.buckets must be a strict subset of his.Buckets.
+func (h *batchHistogram) update(his *metrics.Float64Histogram, sum float64) {
+	counts, buckets := his.Counts, his.Buckets
+
+	h.mu.Lock()
+	defer h.mu.Unlock()
+
+	// Clear buckets.
+	for i := range h.counts {
+		h.counts[i] = 0
+	}
+	// Copy and reduce buckets.
+	var j int
+	for i, count := range counts {
+		h.counts[j] += count
+		if buckets[i+1] == h.buckets[j+1] {
+			j++
+		}
+	}
+	if h.hasSum {
+		h.sum = sum
+	}
+}
+
+func (h *batchHistogram) Desc() *Desc {
+	return h.desc
+}
+
+func (h *batchHistogram) Write(out *dto.Metric) error {
+	h.mu.Lock()
+	defer h.mu.Unlock()
+
+	sum := float64(0)
+	if h.hasSum {
+		sum = h.sum
+	}
+	dtoBuckets := make([]*dto.Bucket, 0, len(h.counts))
+	totalCount := uint64(0)
+	for i, count := range h.counts {
+		totalCount += count
+		if !h.hasSum {
+			if count != 0 {
+				// N.B. This computed sum is an underestimate.
+				sum += h.buckets[i] * float64(count)
+			}
+		}
+
+		// Skip the +Inf bucket, but only for the bucket list.
+		// It must still count for sum and totalCount.
+		if math.IsInf(h.buckets[i+1], 1) {
+			break
+		}
+		// Float64Histogram's upper bound is exclusive, so make it inclusive
+		// by obtaining the next float64 value down, in order.
+		upperBound := math.Nextafter(h.buckets[i+1], h.buckets[i])
+		dtoBuckets = append(dtoBuckets, &dto.Bucket{
+			CumulativeCount: proto.Uint64(totalCount),
+			UpperBound:      proto.Float64(upperBound),
+		})
+	}
+	out.Histogram = &dto.Histogram{
+		Bucket:      dtoBuckets,
+		SampleCount: proto.Uint64(totalCount),
+		SampleSum:   proto.Float64(sum),
+	}
+	return nil
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/histogram.go b/vendor/github.com/prometheus/client_golang/prometheus/histogram.go
new file mode 100644
index 000000000..1feba62c6
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/histogram.go
@@ -0,0 +1,1531 @@
+// Copyright 2015 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"fmt"
+	"math"
+	"runtime"
+	"sort"
+	"sync"
+	"sync/atomic"
+	"time"
+
+	dto "github.com/prometheus/client_model/go"
+
+	"google.golang.org/protobuf/proto"
+	"google.golang.org/protobuf/types/known/timestamppb"
+)
+
+// nativeHistogramBounds for the frac of observed values. Only relevant for
+// schema > 0. The position in the slice is the schema. (0 is never used, just
+// here for convenience of using the schema directly as the index.)
+//
+// TODO(beorn7): Currently, we do a binary search into these slices. There are
+// ways to turn it into a small number of simple array lookups. It probably only
+// matters for schema 5 and beyond, but should be investigated. See this comment
+// as a starting point:
+// https://github.com/open-telemetry/opentelemetry-specification/issues/1776#issuecomment-870164310
+var nativeHistogramBounds = [][]float64{
+	// Schema "0":
+	{0.5},
+	// Schema 1:
+	{0.5, 0.7071067811865475},
+	// Schema 2:
+	{0.5, 0.5946035575013605, 0.7071067811865475, 0.8408964152537144},
+	// Schema 3:
+	{
+		0.5, 0.5452538663326288, 0.5946035575013605, 0.6484197773255048,
+		0.7071067811865475, 0.7711054127039704, 0.8408964152537144, 0.9170040432046711,
+	},
+	// Schema 4:
+	{
+		0.5, 0.5221368912137069, 0.5452538663326288, 0.5693943173783458,
+		0.5946035575013605, 0.620928906036742, 0.6484197773255048, 0.6771277734684463,
+		0.7071067811865475, 0.7384130729697496, 0.7711054127039704, 0.805245165974627,
+		0.8408964152537144, 0.8781260801866495, 0.9170040432046711, 0.9576032806985735,
+	},
+	// Schema 5:
+	{
+		0.5, 0.5109485743270583, 0.5221368912137069, 0.5335702003384117,
+		0.5452538663326288, 0.5571933712979462, 0.5693943173783458, 0.5818624293887887,
+		0.5946035575013605, 0.6076236799902344, 0.620928906036742, 0.6345254785958666,
+		0.6484197773255048, 0.6626183215798706, 0.6771277734684463, 0.6919549409819159,
+		0.7071067811865475, 0.7225904034885232, 0.7384130729697496, 0.7545822137967112,
+		0.7711054127039704, 0.7879904225539431, 0.805245165974627, 0.8228777390769823,
+		0.8408964152537144, 0.8593096490612387, 0.8781260801866495, 0.8973545375015533,
+		0.9170040432046711, 0.9370838170551498, 0.9576032806985735, 0.9785720620876999,
+	},
+	// Schema 6:
+	{
+		0.5, 0.5054446430258502, 0.5109485743270583, 0.5165124395106142,
+		0.5221368912137069, 0.5278225891802786, 0.5335702003384117, 0.5393803988785598,
+		0.5452538663326288, 0.5511912916539204, 0.5571933712979462, 0.5632608093041209,
+		0.5693943173783458, 0.5755946149764913, 0.5818624293887887, 0.5881984958251406,
+		0.5946035575013605, 0.6010783657263515, 0.6076236799902344, 0.6142402680534349,
+		0.620928906036742, 0.6276903785123455, 0.6345254785958666, 0.6414350080393891,
+		0.6484197773255048, 0.6554806057623822, 0.6626183215798706, 0.6698337620266515,
+		0.6771277734684463, 0.6845012114872953, 0.6919549409819159, 0.6994898362691555,
+		0.7071067811865475, 0.7148066691959849, 0.7225904034885232, 0.7304588970903234,
+		0.7384130729697496, 0.7464538641456323, 0.7545822137967112, 0.762799075372269,
+		0.7711054127039704, 0.7795022001189185, 0.7879904225539431, 0.7965710756711334,
+		0.805245165974627, 0.8140137109286738, 0.8228777390769823, 0.8318382901633681,
+		0.8408964152537144, 0.8500531768592616, 0.8593096490612387, 0.8686669176368529,
+		0.8781260801866495, 0.8876882462632604, 0.8973545375015533, 0.9071260877501991,
+		0.9170040432046711, 0.9269895625416926, 0.9370838170551498, 0.9472879907934827,
+		0.9576032806985735, 0.9680308967461471, 0.9785720620876999, 0.9892280131939752,
+	},
+	// Schema 7:
+	{
+		0.5, 0.5027149505564014, 0.5054446430258502, 0.5081891574554764,
+		0.5109485743270583, 0.5137229745593818, 0.5165124395106142, 0.5193170509806894,
+		0.5221368912137069, 0.5249720429003435, 0.5278225891802786, 0.5306886136446309,
+		0.5335702003384117, 0.5364674337629877, 0.5393803988785598, 0.5423091811066545,
+		0.5452538663326288, 0.5482145409081883, 0.5511912916539204, 0.5541842058618393,
+		0.5571933712979462, 0.5602188762048033, 0.5632608093041209, 0.5663192597993595,
+		0.5693943173783458, 0.572486072215902, 0.5755946149764913, 0.5787200368168754,
+		0.5818624293887887, 0.585021884841625, 0.5881984958251406, 0.5913923554921704,
+		0.5946035575013605, 0.5978321960199137, 0.6010783657263515, 0.6043421618132907,
+		0.6076236799902344, 0.6109230164863786, 0.6142402680534349, 0.6175755319684665,
+		0.620928906036742, 0.6243004885946023, 0.6276903785123455, 0.6310986751971253,
+		0.6345254785958666, 0.637970889198196, 0.6414350080393891, 0.6449179367033329,
+		0.6484197773255048, 0.6519406325959679, 0.6554806057623822, 0.659039800633032,
+		0.6626183215798706, 0.6662162735415805, 0.6698337620266515, 0.6734708931164728,
+		0.6771277734684463, 0.6808045103191123, 0.6845012114872953, 0.688217985377265,
+		0.6919549409819159, 0.6957121878859629, 0.6994898362691555, 0.7032879969095076,
+		0.7071067811865475, 0.7109463010845827, 0.7148066691959849, 0.718687998724491,
+		0.7225904034885232, 0.7265139979245261, 0.7304588970903234, 0.7344252166684908,
+		0.7384130729697496, 0.7424225829363761, 0.7464538641456323, 0.7505070348132126,
+		0.7545822137967112, 0.7586795205991071, 0.762799075372269, 0.7669409989204777,
+		0.7711054127039704, 0.7752924388424999, 0.7795022001189185, 0.7837348199827764,
+		0.7879904225539431, 0.7922691326262467, 0.7965710756711334, 0.8008963778413465,
+		0.805245165974627, 0.8096175675974316, 0.8140137109286738, 0.8184337248834821,
+		0.8228777390769823, 0.8273458838280969, 0.8318382901633681, 0.8363550898207981,
+		0.8408964152537144, 0.8454623996346523, 0.8500531768592616, 0.8546688815502312,
+		0.8593096490612387, 0.8639756154809185, 0.8686669176368529, 0.8733836930995842,
+		0.8781260801866495, 0.8828942179666361, 0.8876882462632604, 0.8925083056594671,
+		0.8973545375015533, 0.9022270839033115, 0.9071260877501991, 0.9120516927035263,
+		0.9170040432046711, 0.9219832844793128, 0.9269895625416926, 0.9320230241988943,
+		0.9370838170551498, 0.9421720895161669, 0.9472879907934827, 0.9524316709088368,
+		0.9576032806985735, 0.9628029718180622, 0.9680308967461471, 0.9732872087896164,
+		0.9785720620876999, 0.9838856116165875, 0.9892280131939752, 0.9945994234836328,
+	},
+	// Schema 8:
+	{
+		0.5, 0.5013556375251013, 0.5027149505564014, 0.5040779490592088,
+		0.5054446430258502, 0.5068150424757447, 0.5081891574554764, 0.509566998038869,
+		0.5109485743270583, 0.5123338964485679, 0.5137229745593818, 0.5151158188430205,
+		0.5165124395106142, 0.5179128468009786, 0.5193170509806894, 0.520725062344158,
+		0.5221368912137069, 0.5235525479396449, 0.5249720429003435, 0.526395386502313,
+		0.5278225891802786, 0.5292536613972564, 0.5306886136446309, 0.5321274564422321,
+		0.5335702003384117, 0.5350168559101208, 0.5364674337629877, 0.5379219445313954,
+		0.5393803988785598, 0.5408428074966075, 0.5423091811066545, 0.5437795304588847,
+		0.5452538663326288, 0.5467321995364429, 0.5482145409081883, 0.549700901315111,
+		0.5511912916539204, 0.5526857228508706, 0.5541842058618393, 0.5556867516724088,
+		0.5571933712979462, 0.5587040757836845, 0.5602188762048033, 0.5617377836665098,
+		0.5632608093041209, 0.564787964283144, 0.5663192597993595, 0.5678547070789026,
+		0.5693943173783458, 0.5709381019847808, 0.572486072215902, 0.5740382394200894,
+		0.5755946149764913, 0.5771552102951081, 0.5787200368168754, 0.5802891060137493,
+		0.5818624293887887, 0.5834400184762408, 0.585021884841625, 0.5866080400818185,
+		0.5881984958251406, 0.5897932637314379, 0.5913923554921704, 0.5929957828304968,
+		0.5946035575013605, 0.5962156912915756, 0.5978321960199137, 0.5994530835371903,
+		0.6010783657263515, 0.6027080545025619, 0.6043421618132907, 0.6059806996384005,
+		0.6076236799902344, 0.6092711149137041, 0.6109230164863786, 0.6125793968185725,
+		0.6142402680534349, 0.6159056423670379, 0.6175755319684665, 0.6192499490999082,
+		0.620928906036742, 0.622612415087629, 0.6243004885946023, 0.6259931389331581,
+		0.6276903785123455, 0.6293922197748583, 0.6310986751971253, 0.6328097572894031,
+		0.6345254785958666, 0.6362458516947014, 0.637970889198196, 0.6397006037528346,
+		0.6414350080393891, 0.6431741147730128, 0.6449179367033329, 0.6466664866145447,
+		0.6484197773255048, 0.6501778216898253, 0.6519406325959679, 0.6537082229673385,
+		0.6554806057623822, 0.6572577939746774, 0.659039800633032, 0.6608266388015788,
+		0.6626183215798706, 0.6644148621029772, 0.6662162735415805, 0.6680225691020727,
+		0.6698337620266515, 0.6716498655934177, 0.6734708931164728, 0.6752968579460171,
+		0.6771277734684463, 0.6789636531064505, 0.6808045103191123, 0.6826503586020058,
+		0.6845012114872953, 0.6863570825438342, 0.688217985377265, 0.690083933630119,
+		0.6919549409819159, 0.6938310211492645, 0.6957121878859629, 0.6975984549830999,
+		0.6994898362691555, 0.7013863456101023, 0.7032879969095076, 0.7051948041086352,
+		0.7071067811865475, 0.7090239421602076, 0.7109463010845827, 0.7128738720527471,
+		0.7148066691959849, 0.7167447066838943, 0.718687998724491, 0.7206365595643126,
+		0.7225904034885232, 0.7245495448210174, 0.7265139979245261, 0.7284837772007218,
+		0.7304588970903234, 0.7324393720732029, 0.7344252166684908, 0.7364164454346837,
+		0.7384130729697496, 0.7404151139112358, 0.7424225829363761, 0.7444354947621984,
+		0.7464538641456323, 0.7484777058836176, 0.7505070348132126, 0.7525418658117031,
+		0.7545822137967112, 0.7566280937263048, 0.7586795205991071, 0.7607365094544071,
+		0.762799075372269, 0.7648672334736434, 0.7669409989204777, 0.7690203869158282,
+		0.7711054127039704, 0.7731960915705107, 0.7752924388424999, 0.7773944698885442,
+		0.7795022001189185, 0.7816156449856788, 0.7837348199827764, 0.7858597406461707,
+		0.7879904225539431, 0.7901268813264122, 0.7922691326262467, 0.7944171921585818,
+		0.7965710756711334, 0.7987307989543135, 0.8008963778413465, 0.8030678282083853,
+		0.805245165974627, 0.8074284071024302, 0.8096175675974316, 0.8118126635086642,
+		0.8140137109286738, 0.8162207259936375, 0.8184337248834821, 0.820652723822003,
+		0.8228777390769823, 0.8251087869603088, 0.8273458838280969, 0.8295890460808079,
+		0.8318382901633681, 0.8340936325652911, 0.8363550898207981, 0.8386226785089391,
+		0.8408964152537144, 0.8431763167241966, 0.8454623996346523, 0.8477546807446661,
+		0.8500531768592616, 0.8523579048290255, 0.8546688815502312, 0.8569861239649629,
+		0.8593096490612387, 0.8616394738731368, 0.8639756154809185, 0.8663180910111553,
+		0.8686669176368529, 0.871022112577578, 0.8733836930995842, 0.8757516765159389,
+		0.8781260801866495, 0.8805069215187917, 0.8828942179666361, 0.8852879870317771,
+		0.8876882462632604, 0.890095013257712, 0.8925083056594671, 0.8949281411607002,
+		0.8973545375015533, 0.8997875124702672, 0.9022270839033115, 0.9046732696855155,
+		0.9071260877501991, 0.909585556079304, 0.9120516927035263, 0.9145245157024483,
+		0.9170040432046711, 0.9194902933879467, 0.9219832844793128, 0.9244830347552253,
+		0.9269895625416926, 0.92950288621441, 0.9320230241988943, 0.9345499949706191,
+		0.9370838170551498, 0.93962450902828, 0.9421720895161669, 0.9447265771954693,
+		0.9472879907934827, 0.9498563490882775, 0.9524316709088368, 0.9550139751351947,
+		0.9576032806985735, 0.9601996065815236, 0.9628029718180622, 0.9654133954938133,
+		0.9680308967461471, 0.9706554947643201, 0.9732872087896164, 0.9759260581154889,
+		0.9785720620876999, 0.9812252401044634, 0.9838856116165875, 0.9865531961276168,
+		0.9892280131939752, 0.9919100824251095, 0.9945994234836328, 0.9972960560854698,
+	},
+}
+
+// The nativeHistogramBounds above can be generated with the code below.
+//
+// TODO(beorn7): It's tempting to actually use `go generate` to generate the
+// code above. However, this could lead to slightly different numbers on
+// different architectures. We still need to come to terms if we are fine with
+// that, or if we might prefer to specify precise numbers in the standard.
+//
+// var nativeHistogramBounds [][]float64 = make([][]float64, 9)
+//
+// func init() {
+// 	// Populate nativeHistogramBounds.
+// 	numBuckets := 1
+// 	for i := range nativeHistogramBounds {
+// 		bounds := []float64{0.5}
+// 		factor := math.Exp2(math.Exp2(float64(-i)))
+// 		for j := 0; j < numBuckets-1; j++ {
+// 			var bound float64
+// 			if (j+1)%2 == 0 {
+// 				// Use previously calculated value for increased precision.
+// 				bound = nativeHistogramBounds[i-1][j/2+1]
+// 			} else {
+// 				bound = bounds[j] * factor
+// 			}
+// 			bounds = append(bounds, bound)
+// 		}
+// 		numBuckets *= 2
+// 		nativeHistogramBounds[i] = bounds
+// 	}
+// }
+
+// A Histogram counts individual observations from an event or sample stream in
+// configurable static buckets (or in dynamic sparse buckets as part of the
+// experimental Native Histograms, see below for more details). Similar to a
+// Summary, it also provides a sum of observations and an observation count.
+//
+// On the Prometheus server, quantiles can be calculated from a Histogram using
+// the histogram_quantile PromQL function.
+//
+// Note that Histograms, in contrast to Summaries, can be aggregated in PromQL
+// (see the documentation for detailed procedures). However, Histograms require
+// the user to pre-define suitable buckets, and they are in general less
+// accurate. (Both problems are addressed by the experimental Native
+// Histograms. To use them, configure a NativeHistogramBucketFactor in the
+// HistogramOpts. They also require a Prometheus server v2.40+ with the
+// corresponding feature flag enabled.)
+//
+// The Observe method of a Histogram has a very low performance overhead in
+// comparison with the Observe method of a Summary.
+//
+// To create Histogram instances, use NewHistogram.
+type Histogram interface {
+	Metric
+	Collector
+
+	// Observe adds a single observation to the histogram. Observations are
+	// usually positive or zero. Negative observations are accepted but
+	// prevent current versions of Prometheus from properly detecting
+	// counter resets in the sum of observations. (The experimental Native
+	// Histograms handle negative observations properly.) See
+	// https://prometheus.io/docs/practices/histograms/#count-and-sum-of-observations
+	// for details.
+	Observe(float64)
+}
+
+// bucketLabel is used for the label that defines the upper bound of a
+// bucket of a histogram ("le" -> "less or equal").
+const bucketLabel = "le"
+
+// DefBuckets are the default Histogram buckets. The default buckets are
+// tailored to broadly measure the response time (in seconds) of a network
+// service. Most likely, however, you will be required to define buckets
+// customized to your use case.
+var DefBuckets = []float64{.005, .01, .025, .05, .1, .25, .5, 1, 2.5, 5, 10}
+
+// DefNativeHistogramZeroThreshold is the default value for
+// NativeHistogramZeroThreshold in the HistogramOpts.
+//
+// The value is 2^-128 (or 0.5*2^-127 in the actual IEEE 754 representation),
+// which is a bucket boundary at all possible resolutions.
+const DefNativeHistogramZeroThreshold = 2.938735877055719e-39
+
+// NativeHistogramZeroThresholdZero can be used as NativeHistogramZeroThreshold
+// in the HistogramOpts to create a zero bucket of width zero, i.e. a zero
+// bucket that only receives observations of precisely zero.
+const NativeHistogramZeroThresholdZero = -1
+
+var errBucketLabelNotAllowed = fmt.Errorf(
+	"%q is not allowed as label name in histograms", bucketLabel,
+)
+
+// LinearBuckets creates 'count' regular buckets, each 'width' wide, where the
+// lowest bucket has an upper bound of 'start'. The final +Inf bucket is not
+// counted and not included in the returned slice. The returned slice is meant
+// to be used for the Buckets field of HistogramOpts.
+//
+// The function panics if 'count' is zero or negative.
+func LinearBuckets(start, width float64, count int) []float64 {
+	if count < 1 {
+		panic("LinearBuckets needs a positive count")
+	}
+	buckets := make([]float64, count)
+	for i := range buckets {
+		buckets[i] = start
+		start += width
+	}
+	return buckets
+}
+
+// ExponentialBuckets creates 'count' regular buckets, where the lowest bucket
+// has an upper bound of 'start' and each following bucket's upper bound is
+// 'factor' times the previous bucket's upper bound. The final +Inf bucket is
+// not counted and not included in the returned slice. The returned slice is
+// meant to be used for the Buckets field of HistogramOpts.
+//
+// The function panics if 'count' is 0 or negative, if 'start' is 0 or negative,
+// or if 'factor' is less than or equal 1.
+func ExponentialBuckets(start, factor float64, count int) []float64 {
+	if count < 1 {
+		panic("ExponentialBuckets needs a positive count")
+	}
+	if start <= 0 {
+		panic("ExponentialBuckets needs a positive start value")
+	}
+	if factor <= 1 {
+		panic("ExponentialBuckets needs a factor greater than 1")
+	}
+	buckets := make([]float64, count)
+	for i := range buckets {
+		buckets[i] = start
+		start *= factor
+	}
+	return buckets
+}
+
+// ExponentialBucketsRange creates 'count' buckets, where the lowest bucket is
+// 'min' and the highest bucket is 'max'. The final +Inf bucket is not counted
+// and not included in the returned slice. The returned slice is meant to be
+// used for the Buckets field of HistogramOpts.
+//
+// The function panics if 'count' is 0 or negative, if 'min' is 0 or negative.
+func ExponentialBucketsRange(min, max float64, count int) []float64 {
+	if count < 1 {
+		panic("ExponentialBucketsRange count needs a positive count")
+	}
+	if min <= 0 {
+		panic("ExponentialBucketsRange min needs to be greater than 0")
+	}
+
+	// Formula for exponential buckets.
+	// max = min*growthFactor^(bucketCount-1)
+
+	// We know max/min and highest bucket. Solve for growthFactor.
+	growthFactor := math.Pow(max/min, 1.0/float64(count-1))
+
+	// Now that we know growthFactor, solve for each bucket.
+	buckets := make([]float64, count)
+	for i := 1; i <= count; i++ {
+		buckets[i-1] = min * math.Pow(growthFactor, float64(i-1))
+	}
+	return buckets
+}
+
+// HistogramOpts bundles the options for creating a Histogram metric. It is
+// mandatory to set Name to a non-empty string. All other fields are optional
+// and can safely be left at their zero value, although it is strongly
+// encouraged to set a Help string.
+type HistogramOpts struct {
+	// Namespace, Subsystem, and Name are components of the fully-qualified
+	// name of the Histogram (created by joining these components with
+	// "_"). Only Name is mandatory, the others merely help structuring the
+	// name. Note that the fully-qualified name of the Histogram must be a
+	// valid Prometheus metric name.
+	Namespace string
+	Subsystem string
+	Name      string
+
+	// Help provides information about this Histogram.
+	//
+	// Metrics with the same fully-qualified name must have the same Help
+	// string.
+	Help string
+
+	// ConstLabels are used to attach fixed labels to this metric. Metrics
+	// with the same fully-qualified name must have the same label names in
+	// their ConstLabels.
+	//
+	// ConstLabels are only used rarely. In particular, do not use them to
+	// attach the same labels to all your metrics. Those use cases are
+	// better covered by target labels set by the scraping Prometheus
+	// server, or by one specific metric (e.g. a build_info or a
+	// machine_role metric). See also
+	// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels-not-static-scraped-labels
+	ConstLabels Labels
+
+	// Buckets defines the buckets into which observations are counted. Each
+	// element in the slice is the upper inclusive bound of a bucket. The
+	// values must be sorted in strictly increasing order. There is no need
+	// to add a highest bucket with +Inf bound, it will be added
+	// implicitly. If Buckets is left as nil or set to a slice of length
+	// zero, it is replaced by default buckets. The default buckets are
+	// DefBuckets if no buckets for a native histogram (see below) are used,
+	// otherwise the default is no buckets. (In other words, if you want to
+	// use both regular buckets and buckets for a native histogram, you have
+	// to define the regular buckets here explicitly.)
+	Buckets []float64
+
+	// If NativeHistogramBucketFactor is greater than one, so-called sparse
+	// buckets are used (in addition to the regular buckets, if defined
+	// above). A Histogram with sparse buckets will be ingested as a Native
+	// Histogram by a Prometheus server with that feature enabled (requires
+	// Prometheus v2.40+). Sparse buckets are exponential buckets covering
+	// the whole float64 range (with the exception of the “zero” bucket, see
+	// NativeHistogramZeroThreshold below). From any one bucket to the next,
+	// the width of the bucket grows by a constant
+	// factor. NativeHistogramBucketFactor provides an upper bound for this
+	// factor (exception see below). The smaller
+	// NativeHistogramBucketFactor, the more buckets will be used and thus
+	// the more costly the histogram will become. A generally good trade-off
+	// between cost and accuracy is a value of 1.1 (each bucket is at most
+	// 10% wider than the previous one), which will result in each power of
+	// two divided into 8 buckets (e.g. there will be 8 buckets between 1
+	// and 2, same as between 2 and 4, and 4 and 8, etc.).
+	//
+	// Details about the actually used factor: The factor is calculated as
+	// 2^(2^-n), where n is an integer number between (and including) -4 and
+	// 8. n is chosen so that the resulting factor is the largest that is
+	// still smaller or equal to NativeHistogramBucketFactor. Note that the
+	// smallest possible factor is therefore approx. 1.00271 (i.e. 2^(2^-8)
+	// ). If NativeHistogramBucketFactor is greater than 1 but smaller than
+	// 2^(2^-8), then the actually used factor is still 2^(2^-8) even though
+	// it is larger than the provided NativeHistogramBucketFactor.
+	//
+	// NOTE: Native Histograms are still an experimental feature. Their
+	// behavior might still change without a major version
+	// bump. Subsequently, all NativeHistogram... options here might still
+	// change their behavior or name (or might completely disappear) without
+	// a major version bump.
+	NativeHistogramBucketFactor float64
+	// All observations with an absolute value of less or equal
+	// NativeHistogramZeroThreshold are accumulated into a “zero” bucket.
+	// For best results, this should be close to a bucket boundary. This is
+	// usually the case if picking a power of two. If
+	// NativeHistogramZeroThreshold is left at zero,
+	// DefNativeHistogramZeroThreshold is used as the threshold. To
+	// configure a zero bucket with an actual threshold of zero (i.e. only
+	// observations of precisely zero will go into the zero bucket), set
+	// NativeHistogramZeroThreshold to the NativeHistogramZeroThresholdZero
+	// constant (or any negative float value).
+	NativeHistogramZeroThreshold float64
+
+	// The remaining fields define a strategy to limit the number of
+	// populated sparse buckets. If NativeHistogramMaxBucketNumber is left
+	// at zero, the number of buckets is not limited. (Note that this might
+	// lead to unbounded memory consumption if the values observed by the
+	// Histogram are sufficiently wide-spread. In particular, this could be
+	// used as a DoS attack vector. Where the observed values depend on
+	// external inputs, it is highly recommended to set a
+	// NativeHistogramMaxBucketNumber.) Once the set
+	// NativeHistogramMaxBucketNumber is exceeded, the following strategy is
+	// enacted:
+	//  - First, if the last reset (or the creation) of the histogram is at
+	//    least NativeHistogramMinResetDuration ago, then the whole
+	//    histogram is reset to its initial state (including regular
+	//    buckets).
+	//  - If less time has passed, or if NativeHistogramMinResetDuration is
+	//    zero, no reset is performed. Instead, the zero threshold is
+	//    increased sufficiently to reduce the number of buckets to or below
+	//    NativeHistogramMaxBucketNumber, but not to more than
+	//    NativeHistogramMaxZeroThreshold. Thus, if
+	//    NativeHistogramMaxZeroThreshold is already at or below the current
+	//    zero threshold, nothing happens at this step.
+	//  - After that, if the number of buckets still exceeds
+	//    NativeHistogramMaxBucketNumber, the resolution of the histogram is
+	//    reduced by doubling the width of the sparse buckets (up to a
+	//    growth factor between one bucket to the next of 2^(2^4) = 65536,
+	//    see above).
+	//  - Any increased zero threshold or reduced resolution is reset back
+	//    to their original values once NativeHistogramMinResetDuration has
+	//    passed (since the last reset or the creation of the histogram).
+	NativeHistogramMaxBucketNumber  uint32
+	NativeHistogramMinResetDuration time.Duration
+	NativeHistogramMaxZeroThreshold float64
+
+	// now is for testing purposes, by default it's time.Now.
+	now func() time.Time
+}
+
+// HistogramVecOpts bundles the options to create a HistogramVec metric.
+// It is mandatory to set HistogramOpts, see there for mandatory fields. VariableLabels
+// is optional and can safely be left to its default value.
+type HistogramVecOpts struct {
+	HistogramOpts
+
+	// VariableLabels are used to partition the metric vector by the given set
+	// of labels. Each label value will be constrained with the optional Constraint
+	// function, if provided.
+	VariableLabels ConstrainableLabels
+}
+
+// NewHistogram creates a new Histogram based on the provided HistogramOpts. It
+// panics if the buckets in HistogramOpts are not in strictly increasing order.
+//
+// The returned implementation also implements ExemplarObserver. It is safe to
+// perform the corresponding type assertion. Exemplars are tracked separately
+// for each bucket.
+func NewHistogram(opts HistogramOpts) Histogram {
+	return newHistogram(
+		NewDesc(
+			BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+			opts.Help,
+			nil,
+			opts.ConstLabels,
+		),
+		opts,
+	)
+}
+
+func newHistogram(desc *Desc, opts HistogramOpts, labelValues ...string) Histogram {
+	if len(desc.variableLabels.names) != len(labelValues) {
+		panic(makeInconsistentCardinalityError(desc.fqName, desc.variableLabels.names, labelValues))
+	}
+
+	for _, n := range desc.variableLabels.names {
+		if n == bucketLabel {
+			panic(errBucketLabelNotAllowed)
+		}
+	}
+	for _, lp := range desc.constLabelPairs {
+		if lp.GetName() == bucketLabel {
+			panic(errBucketLabelNotAllowed)
+		}
+	}
+
+	if opts.now == nil {
+		opts.now = time.Now
+	}
+
+	h := &histogram{
+		desc:                            desc,
+		upperBounds:                     opts.Buckets,
+		labelPairs:                      MakeLabelPairs(desc, labelValues),
+		nativeHistogramMaxBuckets:       opts.NativeHistogramMaxBucketNumber,
+		nativeHistogramMaxZeroThreshold: opts.NativeHistogramMaxZeroThreshold,
+		nativeHistogramMinResetDuration: opts.NativeHistogramMinResetDuration,
+		lastResetTime:                   opts.now(),
+		now:                             opts.now,
+	}
+	if len(h.upperBounds) == 0 && opts.NativeHistogramBucketFactor <= 1 {
+		h.upperBounds = DefBuckets
+	}
+	if opts.NativeHistogramBucketFactor <= 1 {
+		h.nativeHistogramSchema = math.MinInt32 // To mark that there are no sparse buckets.
+	} else {
+		switch {
+		case opts.NativeHistogramZeroThreshold > 0:
+			h.nativeHistogramZeroThreshold = opts.NativeHistogramZeroThreshold
+		case opts.NativeHistogramZeroThreshold == 0:
+			h.nativeHistogramZeroThreshold = DefNativeHistogramZeroThreshold
+		} // Leave h.nativeHistogramZeroThreshold at 0 otherwise.
+		h.nativeHistogramSchema = pickSchema(opts.NativeHistogramBucketFactor)
+	}
+	for i, upperBound := range h.upperBounds {
+		if i < len(h.upperBounds)-1 {
+			if upperBound >= h.upperBounds[i+1] {
+				panic(fmt.Errorf(
+					"histogram buckets must be in increasing order: %f >= %f",
+					upperBound, h.upperBounds[i+1],
+				))
+			}
+		} else {
+			if math.IsInf(upperBound, +1) {
+				// The +Inf bucket is implicit. Remove it here.
+				h.upperBounds = h.upperBounds[:i]
+			}
+		}
+	}
+	// Finally we know the final length of h.upperBounds and can make buckets
+	// for both counts as well as exemplars:
+	h.counts[0] = &histogramCounts{buckets: make([]uint64, len(h.upperBounds))}
+	atomic.StoreUint64(&h.counts[0].nativeHistogramZeroThresholdBits, math.Float64bits(h.nativeHistogramZeroThreshold))
+	atomic.StoreInt32(&h.counts[0].nativeHistogramSchema, h.nativeHistogramSchema)
+	h.counts[1] = &histogramCounts{buckets: make([]uint64, len(h.upperBounds))}
+	atomic.StoreUint64(&h.counts[1].nativeHistogramZeroThresholdBits, math.Float64bits(h.nativeHistogramZeroThreshold))
+	atomic.StoreInt32(&h.counts[1].nativeHistogramSchema, h.nativeHistogramSchema)
+	h.exemplars = make([]atomic.Value, len(h.upperBounds)+1)
+
+	h.init(h) // Init self-collection.
+	return h
+}
+
+type histogramCounts struct {
+	// Order in this struct matters for the alignment required by atomic
+	// operations, see http://golang.org/pkg/sync/atomic/#pkg-note-BUG
+
+	// sumBits contains the bits of the float64 representing the sum of all
+	// observations.
+	sumBits uint64
+	count   uint64
+
+	// nativeHistogramZeroBucket counts all (positive and negative)
+	// observations in the zero bucket (with an absolute value less or equal
+	// the current threshold, see next field.
+	nativeHistogramZeroBucket uint64
+	// nativeHistogramZeroThresholdBits is the bit pattern of the current
+	// threshold for the zero bucket. It's initially equal to
+	// nativeHistogramZeroThreshold but may change according to the bucket
+	// count limitation strategy.
+	nativeHistogramZeroThresholdBits uint64
+	// nativeHistogramSchema may change over time according to the bucket
+	// count limitation strategy and therefore has to be saved here.
+	nativeHistogramSchema int32
+	// Number of (positive and negative) sparse buckets.
+	nativeHistogramBucketsNumber uint32
+
+	// Regular buckets.
+	buckets []uint64
+
+	// The sparse buckets for native histograms are implemented with a
+	// sync.Map for now. A dedicated data structure will likely be more
+	// efficient. There are separate maps for negative and positive
+	// observations. The map's value is an *int64, counting observations in
+	// that bucket. (Note that we don't use uint64 as an int64 won't
+	// overflow in practice, and working with signed numbers from the
+	// beginning simplifies the handling of deltas.) The map's key is the
+	// index of the bucket according to the used
+	// nativeHistogramSchema. Index 0 is for an upper bound of 1.
+	nativeHistogramBucketsPositive, nativeHistogramBucketsNegative sync.Map
+}
+
+// observe manages the parts of observe that only affects
+// histogramCounts. doSparse is true if sparse buckets should be done,
+// too.
+func (hc *histogramCounts) observe(v float64, bucket int, doSparse bool) {
+	if bucket < len(hc.buckets) {
+		atomic.AddUint64(&hc.buckets[bucket], 1)
+	}
+	atomicAddFloat(&hc.sumBits, v)
+	if doSparse && !math.IsNaN(v) {
+		var (
+			key                  int
+			schema               = atomic.LoadInt32(&hc.nativeHistogramSchema)
+			zeroThreshold        = math.Float64frombits(atomic.LoadUint64(&hc.nativeHistogramZeroThresholdBits))
+			bucketCreated, isInf bool
+		)
+		if math.IsInf(v, 0) {
+			// Pretend v is MaxFloat64 but later increment key by one.
+			if math.IsInf(v, +1) {
+				v = math.MaxFloat64
+			} else {
+				v = -math.MaxFloat64
+			}
+			isInf = true
+		}
+		frac, exp := math.Frexp(math.Abs(v))
+		if schema > 0 {
+			bounds := nativeHistogramBounds[schema]
+			key = sort.SearchFloat64s(bounds, frac) + (exp-1)*len(bounds)
+		} else {
+			key = exp
+			if frac == 0.5 {
+				key--
+			}
+			offset := (1 << -schema) - 1
+			key = (key + offset) >> -schema
+		}
+		if isInf {
+			key++
+		}
+		switch {
+		case v > zeroThreshold:
+			bucketCreated = addToBucket(&hc.nativeHistogramBucketsPositive, key, 1)
+		case v < -zeroThreshold:
+			bucketCreated = addToBucket(&hc.nativeHistogramBucketsNegative, key, 1)
+		default:
+			atomic.AddUint64(&hc.nativeHistogramZeroBucket, 1)
+		}
+		if bucketCreated {
+			atomic.AddUint32(&hc.nativeHistogramBucketsNumber, 1)
+		}
+	}
+	// Increment count last as we take it as a signal that the observation
+	// is complete.
+	atomic.AddUint64(&hc.count, 1)
+}
+
+type histogram struct {
+	// countAndHotIdx enables lock-free writes with use of atomic updates.
+	// The most significant bit is the hot index [0 or 1] of the count field
+	// below. Observe calls update the hot one. All remaining bits count the
+	// number of Observe calls. Observe starts by incrementing this counter,
+	// and finish by incrementing the count field in the respective
+	// histogramCounts, as a marker for completion.
+	//
+	// Calls of the Write method (which are non-mutating reads from the
+	// perspective of the histogram) swap the hot–cold under the writeMtx
+	// lock. A cooldown is awaited (while locked) by comparing the number of
+	// observations with the initiation count. Once they match, then the
+	// last observation on the now cool one has completed. All cold fields must
+	// be merged into the new hot before releasing writeMtx.
+	//
+	// Fields with atomic access first! See alignment constraint:
+	// http://golang.org/pkg/sync/atomic/#pkg-note-BUG
+	countAndHotIdx uint64
+
+	selfCollector
+	desc *Desc
+
+	// Only used in the Write method and for sparse bucket management.
+	mtx sync.Mutex
+
+	// Two counts, one is "hot" for lock-free observations, the other is
+	// "cold" for writing out a dto.Metric. It has to be an array of
+	// pointers to guarantee 64bit alignment of the histogramCounts, see
+	// http://golang.org/pkg/sync/atomic/#pkg-note-BUG.
+	counts [2]*histogramCounts
+
+	upperBounds                     []float64
+	labelPairs                      []*dto.LabelPair
+	exemplars                       []atomic.Value // One more than buckets (to include +Inf), each a *dto.Exemplar.
+	nativeHistogramSchema           int32          // The initial schema. Set to math.MinInt32 if no sparse buckets are used.
+	nativeHistogramZeroThreshold    float64        // The initial zero threshold.
+	nativeHistogramMaxZeroThreshold float64
+	nativeHistogramMaxBuckets       uint32
+	nativeHistogramMinResetDuration time.Duration
+	// lastResetTime is protected by mtx. It is also used as created timestamp.
+	lastResetTime time.Time
+
+	// now is for testing purposes, by default it's time.Now.
+	now func() time.Time
+}
+
+func (h *histogram) Desc() *Desc {
+	return h.desc
+}
+
+func (h *histogram) Observe(v float64) {
+	h.observe(v, h.findBucket(v))
+}
+
+func (h *histogram) ObserveWithExemplar(v float64, e Labels) {
+	i := h.findBucket(v)
+	h.observe(v, i)
+	h.updateExemplar(v, i, e)
+}
+
+func (h *histogram) Write(out *dto.Metric) error {
+	// For simplicity, we protect this whole method by a mutex. It is not in
+	// the hot path, i.e. Observe is called much more often than Write. The
+	// complication of making Write lock-free isn't worth it, if possible at
+	// all.
+	h.mtx.Lock()
+	defer h.mtx.Unlock()
+
+	// Adding 1<<63 switches the hot index (from 0 to 1 or from 1 to 0)
+	// without touching the count bits. See the struct comments for a full
+	// description of the algorithm.
+	n := atomic.AddUint64(&h.countAndHotIdx, 1<<63)
+	// count is contained unchanged in the lower 63 bits.
+	count := n & ((1 << 63) - 1)
+	// The most significant bit tells us which counts is hot. The complement
+	// is thus the cold one.
+	hotCounts := h.counts[n>>63]
+	coldCounts := h.counts[(^n)>>63]
+
+	waitForCooldown(count, coldCounts)
+
+	his := &dto.Histogram{
+		Bucket:           make([]*dto.Bucket, len(h.upperBounds)),
+		SampleCount:      proto.Uint64(count),
+		SampleSum:        proto.Float64(math.Float64frombits(atomic.LoadUint64(&coldCounts.sumBits))),
+		CreatedTimestamp: timestamppb.New(h.lastResetTime),
+	}
+	out.Histogram = his
+	out.Label = h.labelPairs
+
+	var cumCount uint64
+	for i, upperBound := range h.upperBounds {
+		cumCount += atomic.LoadUint64(&coldCounts.buckets[i])
+		his.Bucket[i] = &dto.Bucket{
+			CumulativeCount: proto.Uint64(cumCount),
+			UpperBound:      proto.Float64(upperBound),
+		}
+		if e := h.exemplars[i].Load(); e != nil {
+			his.Bucket[i].Exemplar = e.(*dto.Exemplar)
+		}
+	}
+	// If there is an exemplar for the +Inf bucket, we have to add that bucket explicitly.
+	if e := h.exemplars[len(h.upperBounds)].Load(); e != nil {
+		b := &dto.Bucket{
+			CumulativeCount: proto.Uint64(count),
+			UpperBound:      proto.Float64(math.Inf(1)),
+			Exemplar:        e.(*dto.Exemplar),
+		}
+		his.Bucket = append(his.Bucket, b)
+	}
+	if h.nativeHistogramSchema > math.MinInt32 {
+		his.ZeroThreshold = proto.Float64(math.Float64frombits(atomic.LoadUint64(&coldCounts.nativeHistogramZeroThresholdBits)))
+		his.Schema = proto.Int32(atomic.LoadInt32(&coldCounts.nativeHistogramSchema))
+		zeroBucket := atomic.LoadUint64(&coldCounts.nativeHistogramZeroBucket)
+
+		defer func() {
+			coldCounts.nativeHistogramBucketsPositive.Range(addAndReset(&hotCounts.nativeHistogramBucketsPositive, &hotCounts.nativeHistogramBucketsNumber))
+			coldCounts.nativeHistogramBucketsNegative.Range(addAndReset(&hotCounts.nativeHistogramBucketsNegative, &hotCounts.nativeHistogramBucketsNumber))
+		}()
+
+		his.ZeroCount = proto.Uint64(zeroBucket)
+		his.NegativeSpan, his.NegativeDelta = makeBuckets(&coldCounts.nativeHistogramBucketsNegative)
+		his.PositiveSpan, his.PositiveDelta = makeBuckets(&coldCounts.nativeHistogramBucketsPositive)
+
+		// Add a no-op span to a histogram without observations and with
+		// a zero threshold of zero. Otherwise, a native histogram would
+		// look like a classic histogram to scrapers.
+		if *his.ZeroThreshold == 0 && *his.ZeroCount == 0 && len(his.PositiveSpan) == 0 && len(his.NegativeSpan) == 0 {
+			his.PositiveSpan = []*dto.BucketSpan{{
+				Offset: proto.Int32(0),
+				Length: proto.Uint32(0),
+			}}
+		}
+	}
+	addAndResetCounts(hotCounts, coldCounts)
+	return nil
+}
+
+// findBucket returns the index of the bucket for the provided value, or
+// len(h.upperBounds) for the +Inf bucket.
+func (h *histogram) findBucket(v float64) int {
+	// TODO(beorn7): For small numbers of buckets (<30), a linear search is
+	// slightly faster than the binary search. If we really care, we could
+	// switch from one search strategy to the other depending on the number
+	// of buckets.
+	//
+	// Microbenchmarks (BenchmarkHistogramNoLabels):
+	// 11 buckets: 38.3 ns/op linear - binary 48.7 ns/op
+	// 100 buckets: 78.1 ns/op linear - binary 54.9 ns/op
+	// 300 buckets: 154 ns/op linear - binary 61.6 ns/op
+	return sort.SearchFloat64s(h.upperBounds, v)
+}
+
+// observe is the implementation for Observe without the findBucket part.
+func (h *histogram) observe(v float64, bucket int) {
+	// Do not add to sparse buckets for NaN observations.
+	doSparse := h.nativeHistogramSchema > math.MinInt32 && !math.IsNaN(v)
+	// We increment h.countAndHotIdx so that the counter in the lower
+	// 63 bits gets incremented. At the same time, we get the new value
+	// back, which we can use to find the currently-hot counts.
+	n := atomic.AddUint64(&h.countAndHotIdx, 1)
+	hotCounts := h.counts[n>>63]
+	hotCounts.observe(v, bucket, doSparse)
+	if doSparse {
+		h.limitBuckets(hotCounts, v, bucket)
+	}
+}
+
+// limitBuckets applies a strategy to limit the number of populated sparse
+// buckets. It's generally best effort, and there are situations where the
+// number can go higher (if even the lowest resolution isn't enough to reduce
+// the number sufficiently, or if the provided counts aren't fully updated yet
+// by a concurrently happening Write call).
+func (h *histogram) limitBuckets(counts *histogramCounts, value float64, bucket int) {
+	if h.nativeHistogramMaxBuckets == 0 {
+		return // No limit configured.
+	}
+	if h.nativeHistogramMaxBuckets >= atomic.LoadUint32(&counts.nativeHistogramBucketsNumber) {
+		return // Bucket limit not exceeded yet.
+	}
+
+	h.mtx.Lock()
+	defer h.mtx.Unlock()
+
+	// The hot counts might have been swapped just before we acquired the
+	// lock. Re-fetch the hot counts first...
+	n := atomic.LoadUint64(&h.countAndHotIdx)
+	hotIdx := n >> 63
+	coldIdx := (^n) >> 63
+	hotCounts := h.counts[hotIdx]
+	coldCounts := h.counts[coldIdx]
+	// ...and then check again if we really have to reduce the bucket count.
+	if h.nativeHistogramMaxBuckets >= atomic.LoadUint32(&hotCounts.nativeHistogramBucketsNumber) {
+		return // Bucket limit not exceeded after all.
+	}
+	// Try the various strategies in order.
+	if h.maybeReset(hotCounts, coldCounts, coldIdx, value, bucket) {
+		return
+	}
+	if h.maybeWidenZeroBucket(hotCounts, coldCounts) {
+		return
+	}
+	h.doubleBucketWidth(hotCounts, coldCounts)
+}
+
+// maybeReset resets the whole histogram if at least h.nativeHistogramMinResetDuration
+// has been passed. It returns true if the histogram has been reset. The caller
+// must have locked h.mtx.
+func (h *histogram) maybeReset(
+	hot, cold *histogramCounts, coldIdx uint64, value float64, bucket int,
+) bool {
+	// We are using the possibly mocked h.now() rather than
+	// time.Since(h.lastResetTime) to enable testing.
+	if h.nativeHistogramMinResetDuration == 0 ||
+		h.now().Sub(h.lastResetTime) < h.nativeHistogramMinResetDuration {
+		return false
+	}
+	// Completely reset coldCounts.
+	h.resetCounts(cold)
+	// Repeat the latest observation to not lose it completely.
+	cold.observe(value, bucket, true)
+	// Make coldCounts the new hot counts while resetting countAndHotIdx.
+	n := atomic.SwapUint64(&h.countAndHotIdx, (coldIdx<<63)+1)
+	count := n & ((1 << 63) - 1)
+	waitForCooldown(count, hot)
+	// Finally, reset the formerly hot counts, too.
+	h.resetCounts(hot)
+	h.lastResetTime = h.now()
+	return true
+}
+
+// maybeWidenZeroBucket widens the zero bucket until it includes the existing
+// buckets closest to the zero bucket (which could be two, if an equidistant
+// negative and a positive bucket exists, but usually it's only one bucket to be
+// merged into the new wider zero bucket). h.nativeHistogramMaxZeroThreshold
+// limits how far the zero bucket can be extended, and if that's not enough to
+// include an existing bucket, the method returns false. The caller must have
+// locked h.mtx.
+func (h *histogram) maybeWidenZeroBucket(hot, cold *histogramCounts) bool {
+	currentZeroThreshold := math.Float64frombits(atomic.LoadUint64(&hot.nativeHistogramZeroThresholdBits))
+	if currentZeroThreshold >= h.nativeHistogramMaxZeroThreshold {
+		return false
+	}
+	// Find the key of the bucket closest to zero.
+	smallestKey := findSmallestKey(&hot.nativeHistogramBucketsPositive)
+	smallestNegativeKey := findSmallestKey(&hot.nativeHistogramBucketsNegative)
+	if smallestNegativeKey < smallestKey {
+		smallestKey = smallestNegativeKey
+	}
+	if smallestKey == math.MaxInt32 {
+		return false
+	}
+	newZeroThreshold := getLe(smallestKey, atomic.LoadInt32(&hot.nativeHistogramSchema))
+	if newZeroThreshold > h.nativeHistogramMaxZeroThreshold {
+		return false // New threshold would exceed the max threshold.
+	}
+	atomic.StoreUint64(&cold.nativeHistogramZeroThresholdBits, math.Float64bits(newZeroThreshold))
+	// Remove applicable buckets.
+	if _, loaded := cold.nativeHistogramBucketsNegative.LoadAndDelete(smallestKey); loaded {
+		atomicDecUint32(&cold.nativeHistogramBucketsNumber)
+	}
+	if _, loaded := cold.nativeHistogramBucketsPositive.LoadAndDelete(smallestKey); loaded {
+		atomicDecUint32(&cold.nativeHistogramBucketsNumber)
+	}
+	// Make cold counts the new hot counts.
+	n := atomic.AddUint64(&h.countAndHotIdx, 1<<63)
+	count := n & ((1 << 63) - 1)
+	// Swap the pointer names to represent the new roles and make
+	// the rest less confusing.
+	hot, cold = cold, hot
+	waitForCooldown(count, cold)
+	// Add all the now cold counts to the new hot counts...
+	addAndResetCounts(hot, cold)
+	// ...adjust the new zero threshold in the cold counts, too...
+	atomic.StoreUint64(&cold.nativeHistogramZeroThresholdBits, math.Float64bits(newZeroThreshold))
+	// ...and then merge the newly deleted buckets into the wider zero
+	// bucket.
+	mergeAndDeleteOrAddAndReset := func(hotBuckets, coldBuckets *sync.Map) func(k, v interface{}) bool {
+		return func(k, v interface{}) bool {
+			key := k.(int)
+			bucket := v.(*int64)
+			if key == smallestKey {
+				// Merge into hot zero bucket...
+				atomic.AddUint64(&hot.nativeHistogramZeroBucket, uint64(atomic.LoadInt64(bucket)))
+				// ...and delete from cold counts.
+				coldBuckets.Delete(key)
+				atomicDecUint32(&cold.nativeHistogramBucketsNumber)
+			} else {
+				// Add to corresponding hot bucket...
+				if addToBucket(hotBuckets, key, atomic.LoadInt64(bucket)) {
+					atomic.AddUint32(&hot.nativeHistogramBucketsNumber, 1)
+				}
+				// ...and reset cold bucket.
+				atomic.StoreInt64(bucket, 0)
+			}
+			return true
+		}
+	}
+
+	cold.nativeHistogramBucketsPositive.Range(mergeAndDeleteOrAddAndReset(&hot.nativeHistogramBucketsPositive, &cold.nativeHistogramBucketsPositive))
+	cold.nativeHistogramBucketsNegative.Range(mergeAndDeleteOrAddAndReset(&hot.nativeHistogramBucketsNegative, &cold.nativeHistogramBucketsNegative))
+	return true
+}
+
+// doubleBucketWidth doubles the bucket width (by decrementing the schema
+// number). Note that very sparse buckets could lead to a low reduction of the
+// bucket count (or even no reduction at all). The method does nothing if the
+// schema is already -4.
+func (h *histogram) doubleBucketWidth(hot, cold *histogramCounts) {
+	coldSchema := atomic.LoadInt32(&cold.nativeHistogramSchema)
+	if coldSchema == -4 {
+		return // Already at lowest resolution.
+	}
+	coldSchema--
+	atomic.StoreInt32(&cold.nativeHistogramSchema, coldSchema)
+	// Play it simple and just delete all cold buckets.
+	atomic.StoreUint32(&cold.nativeHistogramBucketsNumber, 0)
+	deleteSyncMap(&cold.nativeHistogramBucketsNegative)
+	deleteSyncMap(&cold.nativeHistogramBucketsPositive)
+	// Make coldCounts the new hot counts.
+	n := atomic.AddUint64(&h.countAndHotIdx, 1<<63)
+	count := n & ((1 << 63) - 1)
+	// Swap the pointer names to represent the new roles and make
+	// the rest less confusing.
+	hot, cold = cold, hot
+	waitForCooldown(count, cold)
+	// Add all the now cold counts to the new hot counts...
+	addAndResetCounts(hot, cold)
+	// ...adjust the schema in the cold counts, too...
+	atomic.StoreInt32(&cold.nativeHistogramSchema, coldSchema)
+	// ...and then merge the cold buckets into the wider hot buckets.
+	merge := func(hotBuckets *sync.Map) func(k, v interface{}) bool {
+		return func(k, v interface{}) bool {
+			key := k.(int)
+			bucket := v.(*int64)
+			// Adjust key to match the bucket to merge into.
+			if key > 0 {
+				key++
+			}
+			key /= 2
+			// Add to corresponding hot bucket.
+			if addToBucket(hotBuckets, key, atomic.LoadInt64(bucket)) {
+				atomic.AddUint32(&hot.nativeHistogramBucketsNumber, 1)
+			}
+			return true
+		}
+	}
+
+	cold.nativeHistogramBucketsPositive.Range(merge(&hot.nativeHistogramBucketsPositive))
+	cold.nativeHistogramBucketsNegative.Range(merge(&hot.nativeHistogramBucketsNegative))
+	// Play it simple again and just delete all cold buckets.
+	atomic.StoreUint32(&cold.nativeHistogramBucketsNumber, 0)
+	deleteSyncMap(&cold.nativeHistogramBucketsNegative)
+	deleteSyncMap(&cold.nativeHistogramBucketsPositive)
+}
+
+func (h *histogram) resetCounts(counts *histogramCounts) {
+	atomic.StoreUint64(&counts.sumBits, 0)
+	atomic.StoreUint64(&counts.count, 0)
+	atomic.StoreUint64(&counts.nativeHistogramZeroBucket, 0)
+	atomic.StoreUint64(&counts.nativeHistogramZeroThresholdBits, math.Float64bits(h.nativeHistogramZeroThreshold))
+	atomic.StoreInt32(&counts.nativeHistogramSchema, h.nativeHistogramSchema)
+	atomic.StoreUint32(&counts.nativeHistogramBucketsNumber, 0)
+	for i := range h.upperBounds {
+		atomic.StoreUint64(&counts.buckets[i], 0)
+	}
+	deleteSyncMap(&counts.nativeHistogramBucketsNegative)
+	deleteSyncMap(&counts.nativeHistogramBucketsPositive)
+}
+
+// updateExemplar replaces the exemplar for the provided bucket. With empty
+// labels, it's a no-op. It panics if any of the labels is invalid.
+func (h *histogram) updateExemplar(v float64, bucket int, l Labels) {
+	if l == nil {
+		return
+	}
+	e, err := newExemplar(v, h.now(), l)
+	if err != nil {
+		panic(err)
+	}
+	h.exemplars[bucket].Store(e)
+}
+
+// HistogramVec is a Collector that bundles a set of Histograms that all share the
+// same Desc, but have different values for their variable labels. This is used
+// if you want to count the same thing partitioned by various dimensions
+// (e.g. HTTP request latencies, partitioned by status code and method). Create
+// instances with NewHistogramVec.
+type HistogramVec struct {
+	*MetricVec
+}
+
+// NewHistogramVec creates a new HistogramVec based on the provided HistogramOpts and
+// partitioned by the given label names.
+func NewHistogramVec(opts HistogramOpts, labelNames []string) *HistogramVec {
+	return V2.NewHistogramVec(HistogramVecOpts{
+		HistogramOpts:  opts,
+		VariableLabels: UnconstrainedLabels(labelNames),
+	})
+}
+
+// NewHistogramVec creates a new HistogramVec based on the provided HistogramVecOpts.
+func (v2) NewHistogramVec(opts HistogramVecOpts) *HistogramVec {
+	desc := V2.NewDesc(
+		BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+		opts.Help,
+		opts.VariableLabels,
+		opts.ConstLabels,
+	)
+	return &HistogramVec{
+		MetricVec: NewMetricVec(desc, func(lvs ...string) Metric {
+			return newHistogram(desc, opts.HistogramOpts, lvs...)
+		}),
+	}
+}
+
+// GetMetricWithLabelValues returns the Histogram for the given slice of label
+// values (same order as the variable labels in Desc). If that combination of
+// label values is accessed for the first time, a new Histogram is created.
+//
+// It is possible to call this method without using the returned Histogram to only
+// create the new Histogram but leave it at its starting value, a Histogram without
+// any observations.
+//
+// Keeping the Histogram for later use is possible (and should be considered if
+// performance is critical), but keep in mind that Reset, DeleteLabelValues and
+// Delete can be used to delete the Histogram from the HistogramVec. In that case, the
+// Histogram will still exist, but it will not be exported anymore, even if a
+// Histogram with the same label values is created later. See also the CounterVec
+// example.
+//
+// An error is returned if the number of label values is not the same as the
+// number of variable labels in Desc (minus any curried labels).
+//
+// Note that for more than one label value, this method is prone to mistakes
+// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
+// an alternative to avoid that type of mistake. For higher label numbers, the
+// latter has a much more readable (albeit more verbose) syntax, but it comes
+// with a performance overhead (for creating and processing the Labels map).
+// See also the GaugeVec example.
+func (v *HistogramVec) GetMetricWithLabelValues(lvs ...string) (Observer, error) {
+	metric, err := v.MetricVec.GetMetricWithLabelValues(lvs...)
+	if metric != nil {
+		return metric.(Observer), err
+	}
+	return nil, err
+}
+
+// GetMetricWith returns the Histogram for the given Labels map (the label names
+// must match those of the variable labels in Desc). If that label map is
+// accessed for the first time, a new Histogram is created. Implications of
+// creating a Histogram without using it and keeping the Histogram for later use
+// are the same as for GetMetricWithLabelValues.
+//
+// An error is returned if the number and names of the Labels are inconsistent
+// with those of the variable labels in Desc (minus any curried labels).
+//
+// This method is used for the same purpose as
+// GetMetricWithLabelValues(...string). See there for pros and cons of the two
+// methods.
+func (v *HistogramVec) GetMetricWith(labels Labels) (Observer, error) {
+	metric, err := v.MetricVec.GetMetricWith(labels)
+	if metric != nil {
+		return metric.(Observer), err
+	}
+	return nil, err
+}
+
+// WithLabelValues works as GetMetricWithLabelValues, but panics where
+// GetMetricWithLabelValues would have returned an error. Not returning an
+// error allows shortcuts like
+//
+//	myVec.WithLabelValues("404", "GET").Observe(42.21)
+func (v *HistogramVec) WithLabelValues(lvs ...string) Observer {
+	h, err := v.GetMetricWithLabelValues(lvs...)
+	if err != nil {
+		panic(err)
+	}
+	return h
+}
+
+// With works as GetMetricWith but panics where GetMetricWithLabels would have
+// returned an error. Not returning an error allows shortcuts like
+//
+//	myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Observe(42.21)
+func (v *HistogramVec) With(labels Labels) Observer {
+	h, err := v.GetMetricWith(labels)
+	if err != nil {
+		panic(err)
+	}
+	return h
+}
+
+// CurryWith returns a vector curried with the provided labels, i.e. the
+// returned vector has those labels pre-set for all labeled operations performed
+// on it. The cardinality of the curried vector is reduced accordingly. The
+// order of the remaining labels stays the same (just with the curried labels
+// taken out of the sequence – which is relevant for the
+// (GetMetric)WithLabelValues methods). It is possible to curry a curried
+// vector, but only with labels not yet used for currying before.
+//
+// The metrics contained in the HistogramVec are shared between the curried and
+// uncurried vectors. They are just accessed differently. Curried and uncurried
+// vectors behave identically in terms of collection. Only one must be
+// registered with a given registry (usually the uncurried version). The Reset
+// method deletes all metrics, even if called on a curried vector.
+func (v *HistogramVec) CurryWith(labels Labels) (ObserverVec, error) {
+	vec, err := v.MetricVec.CurryWith(labels)
+	if vec != nil {
+		return &HistogramVec{vec}, err
+	}
+	return nil, err
+}
+
+// MustCurryWith works as CurryWith but panics where CurryWith would have
+// returned an error.
+func (v *HistogramVec) MustCurryWith(labels Labels) ObserverVec {
+	vec, err := v.CurryWith(labels)
+	if err != nil {
+		panic(err)
+	}
+	return vec
+}
+
+type constHistogram struct {
+	desc       *Desc
+	count      uint64
+	sum        float64
+	buckets    map[float64]uint64
+	labelPairs []*dto.LabelPair
+	createdTs  *timestamppb.Timestamp
+}
+
+func (h *constHistogram) Desc() *Desc {
+	return h.desc
+}
+
+func (h *constHistogram) Write(out *dto.Metric) error {
+	his := &dto.Histogram{
+		CreatedTimestamp: h.createdTs,
+	}
+
+	buckets := make([]*dto.Bucket, 0, len(h.buckets))
+
+	his.SampleCount = proto.Uint64(h.count)
+	his.SampleSum = proto.Float64(h.sum)
+	for upperBound, count := range h.buckets {
+		buckets = append(buckets, &dto.Bucket{
+			CumulativeCount: proto.Uint64(count),
+			UpperBound:      proto.Float64(upperBound),
+		})
+	}
+
+	if len(buckets) > 0 {
+		sort.Sort(buckSort(buckets))
+	}
+	his.Bucket = buckets
+
+	out.Histogram = his
+	out.Label = h.labelPairs
+
+	return nil
+}
+
+// NewConstHistogram returns a metric representing a Prometheus histogram with
+// fixed values for the count, sum, and bucket counts. As those parameters
+// cannot be changed, the returned value does not implement the Histogram
+// interface (but only the Metric interface). Users of this package will not
+// have much use for it in regular operations. However, when implementing custom
+// Collectors, it is useful as a throw-away metric that is generated on the fly
+// to send it to Prometheus in the Collect method.
+//
+// buckets is a map of upper bounds to cumulative counts, excluding the +Inf
+// bucket. The +Inf bucket is implicit, and its value is equal to the provided count.
+//
+// NewConstHistogram returns an error if the length of labelValues is not
+// consistent with the variable labels in Desc or if Desc is invalid.
+func NewConstHistogram(
+	desc *Desc,
+	count uint64,
+	sum float64,
+	buckets map[float64]uint64,
+	labelValues ...string,
+) (Metric, error) {
+	if desc.err != nil {
+		return nil, desc.err
+	}
+	if err := validateLabelValues(labelValues, len(desc.variableLabels.names)); err != nil {
+		return nil, err
+	}
+	return &constHistogram{
+		desc:       desc,
+		count:      count,
+		sum:        sum,
+		buckets:    buckets,
+		labelPairs: MakeLabelPairs(desc, labelValues),
+	}, nil
+}
+
+// MustNewConstHistogram is a version of NewConstHistogram that panics where
+// NewConstHistogram would have returned an error.
+func MustNewConstHistogram(
+	desc *Desc,
+	count uint64,
+	sum float64,
+	buckets map[float64]uint64,
+	labelValues ...string,
+) Metric {
+	m, err := NewConstHistogram(desc, count, sum, buckets, labelValues...)
+	if err != nil {
+		panic(err)
+	}
+	return m
+}
+
+type buckSort []*dto.Bucket
+
+func (s buckSort) Len() int {
+	return len(s)
+}
+
+func (s buckSort) Swap(i, j int) {
+	s[i], s[j] = s[j], s[i]
+}
+
+func (s buckSort) Less(i, j int) bool {
+	return s[i].GetUpperBound() < s[j].GetUpperBound()
+}
+
+// pickSchema returns the largest number n between -4 and 8 such that
+// 2^(2^-n) is less or equal the provided bucketFactor.
+//
+// Special cases:
+//   - bucketFactor <= 1: panics.
+//   - bucketFactor < 2^(2^-8) (but > 1): still returns 8.
+func pickSchema(bucketFactor float64) int32 {
+	if bucketFactor <= 1 {
+		panic(fmt.Errorf("bucketFactor %f is <=1", bucketFactor))
+	}
+	floor := math.Floor(math.Log2(math.Log2(bucketFactor)))
+	switch {
+	case floor <= -8:
+		return 8
+	case floor >= 4:
+		return -4
+	default:
+		return -int32(floor)
+	}
+}
+
+func makeBuckets(buckets *sync.Map) ([]*dto.BucketSpan, []int64) {
+	var ii []int
+	buckets.Range(func(k, v interface{}) bool {
+		ii = append(ii, k.(int))
+		return true
+	})
+	sort.Ints(ii)
+
+	if len(ii) == 0 {
+		return nil, nil
+	}
+
+	var (
+		spans     []*dto.BucketSpan
+		deltas    []int64
+		prevCount int64
+		nextI     int
+	)
+
+	appendDelta := func(count int64) {
+		*spans[len(spans)-1].Length++
+		deltas = append(deltas, count-prevCount)
+		prevCount = count
+	}
+
+	for n, i := range ii {
+		v, _ := buckets.Load(i)
+		count := atomic.LoadInt64(v.(*int64))
+		// Multiple spans with only small gaps in between are probably
+		// encoded more efficiently as one larger span with a few empty
+		// buckets. Needs some research to find the sweet spot. For now,
+		// we assume that gaps of one or two buckets should not create
+		// a new span.
+		iDelta := int32(i - nextI)
+		if n == 0 || iDelta > 2 {
+			// We have to create a new span, either because we are
+			// at the very beginning, or because we have found a gap
+			// of more than two buckets.
+			spans = append(spans, &dto.BucketSpan{
+				Offset: proto.Int32(iDelta),
+				Length: proto.Uint32(0),
+			})
+		} else {
+			// We have found a small gap (or no gap at all).
+			// Insert empty buckets as needed.
+			for j := int32(0); j < iDelta; j++ {
+				appendDelta(0)
+			}
+		}
+		appendDelta(count)
+		nextI = i + 1
+	}
+	return spans, deltas
+}
+
+// addToBucket increments the sparse bucket at key by the provided amount. It
+// returns true if a new sparse bucket had to be created for that.
+func addToBucket(buckets *sync.Map, key int, increment int64) bool {
+	if existingBucket, ok := buckets.Load(key); ok {
+		// Fast path without allocation.
+		atomic.AddInt64(existingBucket.(*int64), increment)
+		return false
+	}
+	// Bucket doesn't exist yet. Slow path allocating new counter.
+	newBucket := increment // TODO(beorn7): Check if this is sufficient to not let increment escape.
+	if actualBucket, loaded := buckets.LoadOrStore(key, &newBucket); loaded {
+		// The bucket was created concurrently in another goroutine.
+		// Have to increment after all.
+		atomic.AddInt64(actualBucket.(*int64), increment)
+		return false
+	}
+	return true
+}
+
+// addAndReset returns a function to be used with sync.Map.Range of spare
+// buckets in coldCounts. It increments the buckets in the provided hotBuckets
+// according to the buckets ranged through. It then resets all buckets ranged
+// through to 0 (but leaves them in place so that they don't need to get
+// recreated on the next scrape).
+func addAndReset(hotBuckets *sync.Map, bucketNumber *uint32) func(k, v interface{}) bool {
+	return func(k, v interface{}) bool {
+		bucket := v.(*int64)
+		if addToBucket(hotBuckets, k.(int), atomic.LoadInt64(bucket)) {
+			atomic.AddUint32(bucketNumber, 1)
+		}
+		atomic.StoreInt64(bucket, 0)
+		return true
+	}
+}
+
+func deleteSyncMap(m *sync.Map) {
+	m.Range(func(k, v interface{}) bool {
+		m.Delete(k)
+		return true
+	})
+}
+
+func findSmallestKey(m *sync.Map) int {
+	result := math.MaxInt32
+	m.Range(func(k, v interface{}) bool {
+		key := k.(int)
+		if key < result {
+			result = key
+		}
+		return true
+	})
+	return result
+}
+
+func getLe(key int, schema int32) float64 {
+	// Here a bit of context about the behavior for the last bucket counting
+	// regular numbers (called simply "last bucket" below) and the bucket
+	// counting observations of ±Inf (called "inf bucket" below, with a key
+	// one higher than that of the "last bucket"):
+	//
+	// If we apply the usual formula to the last bucket, its upper bound
+	// would be calculated as +Inf. The reason is that the max possible
+	// regular float64 number (math.MaxFloat64) doesn't coincide with one of
+	// the calculated bucket boundaries. So the calculated boundary has to
+	// be larger than math.MaxFloat64, and the only float64 larger than
+	// math.MaxFloat64 is +Inf. However, we want to count actual
+	// observations of ±Inf in the inf bucket. Therefore, we have to treat
+	// the upper bound of the last bucket specially and set it to
+	// math.MaxFloat64. (The upper bound of the inf bucket, with its key
+	// being one higher than that of the last bucket, naturally comes out as
+	// +Inf by the usual formula. So that's fine.)
+	//
+	// math.MaxFloat64 has a frac of 0.9999999999999999 and an exp of
+	// 1024. If there were a float64 number following math.MaxFloat64, it
+	// would have a frac of 1.0 and an exp of 1024, or equivalently a frac
+	// of 0.5 and an exp of 1025. However, since frac must be smaller than
+	// 1, and exp must be smaller than 1025, either representation overflows
+	// a float64. (Which, in turn, is the reason that math.MaxFloat64 is the
+	// largest possible float64. Q.E.D.) However, the formula for
+	// calculating the upper bound from the idx and schema of the last
+	// bucket results in precisely that. It is either frac=1.0 & exp=1024
+	// (for schema < 0) or frac=0.5 & exp=1025 (for schema >=0). (This is,
+	// by the way, a power of two where the exponent itself is a power of
+	// two, 2¹⁰ in fact, which coinicides with a bucket boundary in all
+	// schemas.) So these are the special cases we have to catch below.
+	if schema < 0 {
+		exp := key << -schema
+		if exp == 1024 {
+			// This is the last bucket before the overflow bucket
+			// (for ±Inf observations). Return math.MaxFloat64 as
+			// explained above.
+			return math.MaxFloat64
+		}
+		return math.Ldexp(1, exp)
+	}
+
+	fracIdx := key & ((1 << schema) - 1)
+	frac := nativeHistogramBounds[schema][fracIdx]
+	exp := (key >> schema) + 1
+	if frac == 0.5 && exp == 1025 {
+		// This is the last bucket before the overflow bucket (for ±Inf
+		// observations). Return math.MaxFloat64 as explained above.
+		return math.MaxFloat64
+	}
+	return math.Ldexp(frac, exp)
+}
+
+// waitForCooldown returns after the count field in the provided histogramCounts
+// has reached the provided count value.
+func waitForCooldown(count uint64, counts *histogramCounts) {
+	for count != atomic.LoadUint64(&counts.count) {
+		runtime.Gosched() // Let observations get work done.
+	}
+}
+
+// atomicAddFloat adds the provided float atomically to another float
+// represented by the bit pattern the bits pointer is pointing to.
+func atomicAddFloat(bits *uint64, v float64) {
+	for {
+		loadedBits := atomic.LoadUint64(bits)
+		newBits := math.Float64bits(math.Float64frombits(loadedBits) + v)
+		if atomic.CompareAndSwapUint64(bits, loadedBits, newBits) {
+			break
+		}
+	}
+}
+
+// atomicDecUint32 atomically decrements the uint32 p points to.  See
+// https://pkg.go.dev/sync/atomic#AddUint32 to understand how this is done.
+func atomicDecUint32(p *uint32) {
+	atomic.AddUint32(p, ^uint32(0))
+}
+
+// addAndResetCounts adds certain fields (count, sum, conventional buckets, zero
+// bucket) from the cold counts to the corresponding fields in the hot
+// counts. Those fields are then reset to 0 in the cold counts.
+func addAndResetCounts(hot, cold *histogramCounts) {
+	atomic.AddUint64(&hot.count, atomic.LoadUint64(&cold.count))
+	atomic.StoreUint64(&cold.count, 0)
+	coldSum := math.Float64frombits(atomic.LoadUint64(&cold.sumBits))
+	atomicAddFloat(&hot.sumBits, coldSum)
+	atomic.StoreUint64(&cold.sumBits, 0)
+	for i := range hot.buckets {
+		atomic.AddUint64(&hot.buckets[i], atomic.LoadUint64(&cold.buckets[i]))
+		atomic.StoreUint64(&cold.buckets[i], 0)
+	}
+	atomic.AddUint64(&hot.nativeHistogramZeroBucket, atomic.LoadUint64(&cold.nativeHistogramZeroBucket))
+	atomic.StoreUint64(&cold.nativeHistogramZeroBucket, 0)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/internal/almost_equal.go b/vendor/github.com/prometheus/client_golang/prometheus/internal/almost_equal.go
new file mode 100644
index 000000000..1ed5abe74
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/internal/almost_equal.go
@@ -0,0 +1,60 @@
+// Copyright (c) 2015 Björn Rabenstein
+//
+// Permission is hereby granted, free of charge, to any person obtaining a copy
+// of this software and associated documentation files (the "Software"), to deal
+// in the Software without restriction, including without limitation the rights
+// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+// copies of the Software, and to permit persons to whom the Software is
+// furnished to do so, subject to the following conditions:
+//
+// The above copyright notice and this permission notice shall be included in all
+// copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+// SOFTWARE.
+//
+// The code in this package is copy/paste to avoid a dependency. Hence this file
+// carries the copyright of the original repo.
+// https://github.com/beorn7/floats
+package internal
+
+import (
+	"math"
+)
+
+// minNormalFloat64 is the smallest positive normal value of type float64.
+var minNormalFloat64 = math.Float64frombits(0x0010000000000000)
+
+// AlmostEqualFloat64 returns true if a and b are equal within a relative error
+// of epsilon. See http://floating-point-gui.de/errors/comparison/ for the
+// details of the applied method.
+func AlmostEqualFloat64(a, b, epsilon float64) bool {
+	if a == b {
+		return true
+	}
+	absA := math.Abs(a)
+	absB := math.Abs(b)
+	diff := math.Abs(a - b)
+	if a == 0 || b == 0 || absA+absB < minNormalFloat64 {
+		return diff < epsilon*minNormalFloat64
+	}
+	return diff/math.Min(absA+absB, math.MaxFloat64) < epsilon
+}
+
+// AlmostEqualFloat64s is the slice form of AlmostEqualFloat64.
+func AlmostEqualFloat64s(a, b []float64, epsilon float64) bool {
+	if len(a) != len(b) {
+		return false
+	}
+	for i := range a {
+		if !AlmostEqualFloat64(a[i], b[i], epsilon) {
+			return false
+		}
+	}
+	return true
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/internal/difflib.go b/vendor/github.com/prometheus/client_golang/prometheus/internal/difflib.go
new file mode 100644
index 000000000..a595a2036
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/internal/difflib.go
@@ -0,0 +1,654 @@
+// Copyright 2022 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// It provides tools to compare sequences of strings and generate textual diffs.
+//
+// Maintaining `GetUnifiedDiffString` here because original repository
+// (https://github.com/pmezard/go-difflib) is no longer maintained.
+package internal
+
+import (
+	"bufio"
+	"bytes"
+	"fmt"
+	"io"
+	"strings"
+)
+
+func min(a, b int) int {
+	if a < b {
+		return a
+	}
+	return b
+}
+
+func max(a, b int) int {
+	if a > b {
+		return a
+	}
+	return b
+}
+
+func calculateRatio(matches, length int) float64 {
+	if length > 0 {
+		return 2.0 * float64(matches) / float64(length)
+	}
+	return 1.0
+}
+
+type Match struct {
+	A    int
+	B    int
+	Size int
+}
+
+type OpCode struct {
+	Tag byte
+	I1  int
+	I2  int
+	J1  int
+	J2  int
+}
+
+// SequenceMatcher compares sequence of strings. The basic
+// algorithm predates, and is a little fancier than, an algorithm
+// published in the late 1980's by Ratcliff and Obershelp under the
+// hyperbolic name "gestalt pattern matching".  The basic idea is to find
+// the longest contiguous matching subsequence that contains no "junk"
+// elements (R-O doesn't address junk).  The same idea is then applied
+// recursively to the pieces of the sequences to the left and to the right
+// of the matching subsequence.  This does not yield minimal edit
+// sequences, but does tend to yield matches that "look right" to people.
+//
+// SequenceMatcher tries to compute a "human-friendly diff" between two
+// sequences.  Unlike e.g. UNIX(tm) diff, the fundamental notion is the
+// longest *contiguous* & junk-free matching subsequence.  That's what
+// catches peoples' eyes.  The Windows(tm) windiff has another interesting
+// notion, pairing up elements that appear uniquely in each sequence.
+// That, and the method here, appear to yield more intuitive difference
+// reports than does diff.  This method appears to be the least vulnerable
+// to synching up on blocks of "junk lines", though (like blank lines in
+// ordinary text files, or maybe "<P>" lines in HTML files).  That may be
+// because this is the only method of the 3 that has a *concept* of
+// "junk" <wink>.
+//
+// Timing:  Basic R-O is cubic time worst case and quadratic time expected
+// case.  SequenceMatcher is quadratic time for the worst case and has
+// expected-case behavior dependent in a complicated way on how many
+// elements the sequences have in common; best case time is linear.
+type SequenceMatcher struct {
+	a              []string
+	b              []string
+	b2j            map[string][]int
+	IsJunk         func(string) bool
+	autoJunk       bool
+	bJunk          map[string]struct{}
+	matchingBlocks []Match
+	fullBCount     map[string]int
+	bPopular       map[string]struct{}
+	opCodes        []OpCode
+}
+
+func NewMatcher(a, b []string) *SequenceMatcher {
+	m := SequenceMatcher{autoJunk: true}
+	m.SetSeqs(a, b)
+	return &m
+}
+
+func NewMatcherWithJunk(a, b []string, autoJunk bool,
+	isJunk func(string) bool,
+) *SequenceMatcher {
+	m := SequenceMatcher{IsJunk: isJunk, autoJunk: autoJunk}
+	m.SetSeqs(a, b)
+	return &m
+}
+
+// Set two sequences to be compared.
+func (m *SequenceMatcher) SetSeqs(a, b []string) {
+	m.SetSeq1(a)
+	m.SetSeq2(b)
+}
+
+// Set the first sequence to be compared. The second sequence to be compared is
+// not changed.
+//
+// SequenceMatcher computes and caches detailed information about the second
+// sequence, so if you want to compare one sequence S against many sequences,
+// use .SetSeq2(s) once and call .SetSeq1(x) repeatedly for each of the other
+// sequences.
+//
+// See also SetSeqs() and SetSeq2().
+func (m *SequenceMatcher) SetSeq1(a []string) {
+	if &a == &m.a {
+		return
+	}
+	m.a = a
+	m.matchingBlocks = nil
+	m.opCodes = nil
+}
+
+// Set the second sequence to be compared. The first sequence to be compared is
+// not changed.
+func (m *SequenceMatcher) SetSeq2(b []string) {
+	if &b == &m.b {
+		return
+	}
+	m.b = b
+	m.matchingBlocks = nil
+	m.opCodes = nil
+	m.fullBCount = nil
+	m.chainB()
+}
+
+func (m *SequenceMatcher) chainB() {
+	// Populate line -> index mapping
+	b2j := map[string][]int{}
+	for i, s := range m.b {
+		indices := b2j[s]
+		indices = append(indices, i)
+		b2j[s] = indices
+	}
+
+	// Purge junk elements
+	m.bJunk = map[string]struct{}{}
+	if m.IsJunk != nil {
+		junk := m.bJunk
+		for s := range b2j {
+			if m.IsJunk(s) {
+				junk[s] = struct{}{}
+			}
+		}
+		for s := range junk {
+			delete(b2j, s)
+		}
+	}
+
+	// Purge remaining popular elements
+	popular := map[string]struct{}{}
+	n := len(m.b)
+	if m.autoJunk && n >= 200 {
+		ntest := n/100 + 1
+		for s, indices := range b2j {
+			if len(indices) > ntest {
+				popular[s] = struct{}{}
+			}
+		}
+		for s := range popular {
+			delete(b2j, s)
+		}
+	}
+	m.bPopular = popular
+	m.b2j = b2j
+}
+
+func (m *SequenceMatcher) isBJunk(s string) bool {
+	_, ok := m.bJunk[s]
+	return ok
+}
+
+// Find longest matching block in a[alo:ahi] and b[blo:bhi].
+//
+// If IsJunk is not defined:
+//
+// Return (i,j,k) such that a[i:i+k] is equal to b[j:j+k], where
+//
+//	alo <= i <= i+k <= ahi
+//	blo <= j <= j+k <= bhi
+//
+// and for all (i',j',k') meeting those conditions,
+//
+//	k >= k'
+//	i <= i'
+//	and if i == i', j <= j'
+//
+// In other words, of all maximal matching blocks, return one that
+// starts earliest in a, and of all those maximal matching blocks that
+// start earliest in a, return the one that starts earliest in b.
+//
+// If IsJunk is defined, first the longest matching block is
+// determined as above, but with the additional restriction that no
+// junk element appears in the block.  Then that block is extended as
+// far as possible by matching (only) junk elements on both sides.  So
+// the resulting block never matches on junk except as identical junk
+// happens to be adjacent to an "interesting" match.
+//
+// If no blocks match, return (alo, blo, 0).
+func (m *SequenceMatcher) findLongestMatch(alo, ahi, blo, bhi int) Match {
+	// CAUTION:  stripping common prefix or suffix would be incorrect.
+	// E.g.,
+	//    ab
+	//    acab
+	// Longest matching block is "ab", but if common prefix is
+	// stripped, it's "a" (tied with "b").  UNIX(tm) diff does so
+	// strip, so ends up claiming that ab is changed to acab by
+	// inserting "ca" in the middle.  That's minimal but unintuitive:
+	// "it's obvious" that someone inserted "ac" at the front.
+	// Windiff ends up at the same place as diff, but by pairing up
+	// the unique 'b's and then matching the first two 'a's.
+	besti, bestj, bestsize := alo, blo, 0
+
+	// find longest junk-free match
+	// during an iteration of the loop, j2len[j] = length of longest
+	// junk-free match ending with a[i-1] and b[j]
+	j2len := map[int]int{}
+	for i := alo; i != ahi; i++ {
+		// look at all instances of a[i] in b; note that because
+		// b2j has no junk keys, the loop is skipped if a[i] is junk
+		newj2len := map[int]int{}
+		for _, j := range m.b2j[m.a[i]] {
+			// a[i] matches b[j]
+			if j < blo {
+				continue
+			}
+			if j >= bhi {
+				break
+			}
+			k := j2len[j-1] + 1
+			newj2len[j] = k
+			if k > bestsize {
+				besti, bestj, bestsize = i-k+1, j-k+1, k
+			}
+		}
+		j2len = newj2len
+	}
+
+	// Extend the best by non-junk elements on each end.  In particular,
+	// "popular" non-junk elements aren't in b2j, which greatly speeds
+	// the inner loop above, but also means "the best" match so far
+	// doesn't contain any junk *or* popular non-junk elements.
+	for besti > alo && bestj > blo && !m.isBJunk(m.b[bestj-1]) &&
+		m.a[besti-1] == m.b[bestj-1] {
+		besti, bestj, bestsize = besti-1, bestj-1, bestsize+1
+	}
+	for besti+bestsize < ahi && bestj+bestsize < bhi &&
+		!m.isBJunk(m.b[bestj+bestsize]) &&
+		m.a[besti+bestsize] == m.b[bestj+bestsize] {
+		bestsize++
+	}
+
+	// Now that we have a wholly interesting match (albeit possibly
+	// empty!), we may as well suck up the matching junk on each
+	// side of it too.  Can't think of a good reason not to, and it
+	// saves post-processing the (possibly considerable) expense of
+	// figuring out what to do with it.  In the case of an empty
+	// interesting match, this is clearly the right thing to do,
+	// because no other kind of match is possible in the regions.
+	for besti > alo && bestj > blo && m.isBJunk(m.b[bestj-1]) &&
+		m.a[besti-1] == m.b[bestj-1] {
+		besti, bestj, bestsize = besti-1, bestj-1, bestsize+1
+	}
+	for besti+bestsize < ahi && bestj+bestsize < bhi &&
+		m.isBJunk(m.b[bestj+bestsize]) &&
+		m.a[besti+bestsize] == m.b[bestj+bestsize] {
+		bestsize++
+	}
+
+	return Match{A: besti, B: bestj, Size: bestsize}
+}
+
+// Return list of triples describing matching subsequences.
+//
+// Each triple is of the form (i, j, n), and means that
+// a[i:i+n] == b[j:j+n].  The triples are monotonically increasing in
+// i and in j. It's also guaranteed that if (i, j, n) and (i', j', n') are
+// adjacent triples in the list, and the second is not the last triple in the
+// list, then i+n != i' or j+n != j'. IOW, adjacent triples never describe
+// adjacent equal blocks.
+//
+// The last triple is a dummy, (len(a), len(b), 0), and is the only
+// triple with n==0.
+func (m *SequenceMatcher) GetMatchingBlocks() []Match {
+	if m.matchingBlocks != nil {
+		return m.matchingBlocks
+	}
+
+	var matchBlocks func(alo, ahi, blo, bhi int, matched []Match) []Match
+	matchBlocks = func(alo, ahi, blo, bhi int, matched []Match) []Match {
+		match := m.findLongestMatch(alo, ahi, blo, bhi)
+		i, j, k := match.A, match.B, match.Size
+		if match.Size > 0 {
+			if alo < i && blo < j {
+				matched = matchBlocks(alo, i, blo, j, matched)
+			}
+			matched = append(matched, match)
+			if i+k < ahi && j+k < bhi {
+				matched = matchBlocks(i+k, ahi, j+k, bhi, matched)
+			}
+		}
+		return matched
+	}
+	matched := matchBlocks(0, len(m.a), 0, len(m.b), nil)
+
+	// It's possible that we have adjacent equal blocks in the
+	// matching_blocks list now.
+	nonAdjacent := []Match{}
+	i1, j1, k1 := 0, 0, 0
+	for _, b := range matched {
+		// Is this block adjacent to i1, j1, k1?
+		i2, j2, k2 := b.A, b.B, b.Size
+		if i1+k1 == i2 && j1+k1 == j2 {
+			// Yes, so collapse them -- this just increases the length of
+			// the first block by the length of the second, and the first
+			// block so lengthened remains the block to compare against.
+			k1 += k2
+		} else {
+			// Not adjacent.  Remember the first block (k1==0 means it's
+			// the dummy we started with), and make the second block the
+			// new block to compare against.
+			if k1 > 0 {
+				nonAdjacent = append(nonAdjacent, Match{i1, j1, k1})
+			}
+			i1, j1, k1 = i2, j2, k2
+		}
+	}
+	if k1 > 0 {
+		nonAdjacent = append(nonAdjacent, Match{i1, j1, k1})
+	}
+
+	nonAdjacent = append(nonAdjacent, Match{len(m.a), len(m.b), 0})
+	m.matchingBlocks = nonAdjacent
+	return m.matchingBlocks
+}
+
+// Return list of 5-tuples describing how to turn a into b.
+//
+// Each tuple is of the form (tag, i1, i2, j1, j2).  The first tuple
+// has i1 == j1 == 0, and remaining tuples have i1 == the i2 from the
+// tuple preceding it, and likewise for j1 == the previous j2.
+//
+// The tags are characters, with these meanings:
+//
+// 'r' (replace):  a[i1:i2] should be replaced by b[j1:j2]
+//
+// 'd' (delete):   a[i1:i2] should be deleted, j1==j2 in this case.
+//
+// 'i' (insert):   b[j1:j2] should be inserted at a[i1:i1], i1==i2 in this case.
+//
+// 'e' (equal):    a[i1:i2] == b[j1:j2]
+func (m *SequenceMatcher) GetOpCodes() []OpCode {
+	if m.opCodes != nil {
+		return m.opCodes
+	}
+	i, j := 0, 0
+	matching := m.GetMatchingBlocks()
+	opCodes := make([]OpCode, 0, len(matching))
+	for _, m := range matching {
+		//  invariant:  we've pumped out correct diffs to change
+		//  a[:i] into b[:j], and the next matching block is
+		//  a[ai:ai+size] == b[bj:bj+size]. So we need to pump
+		//  out a diff to change a[i:ai] into b[j:bj], pump out
+		//  the matching block, and move (i,j) beyond the match
+		ai, bj, size := m.A, m.B, m.Size
+		tag := byte(0)
+		if i < ai && j < bj {
+			tag = 'r'
+		} else if i < ai {
+			tag = 'd'
+		} else if j < bj {
+			tag = 'i'
+		}
+		if tag > 0 {
+			opCodes = append(opCodes, OpCode{tag, i, ai, j, bj})
+		}
+		i, j = ai+size, bj+size
+		// the list of matching blocks is terminated by a
+		// sentinel with size 0
+		if size > 0 {
+			opCodes = append(opCodes, OpCode{'e', ai, i, bj, j})
+		}
+	}
+	m.opCodes = opCodes
+	return m.opCodes
+}
+
+// Isolate change clusters by eliminating ranges with no changes.
+//
+// Return a generator of groups with up to n lines of context.
+// Each group is in the same format as returned by GetOpCodes().
+func (m *SequenceMatcher) GetGroupedOpCodes(n int) [][]OpCode {
+	if n < 0 {
+		n = 3
+	}
+	codes := m.GetOpCodes()
+	if len(codes) == 0 {
+		codes = []OpCode{{'e', 0, 1, 0, 1}}
+	}
+	// Fixup leading and trailing groups if they show no changes.
+	if codes[0].Tag == 'e' {
+		c := codes[0]
+		i1, i2, j1, j2 := c.I1, c.I2, c.J1, c.J2
+		codes[0] = OpCode{c.Tag, max(i1, i2-n), i2, max(j1, j2-n), j2}
+	}
+	if codes[len(codes)-1].Tag == 'e' {
+		c := codes[len(codes)-1]
+		i1, i2, j1, j2 := c.I1, c.I2, c.J1, c.J2
+		codes[len(codes)-1] = OpCode{c.Tag, i1, min(i2, i1+n), j1, min(j2, j1+n)}
+	}
+	nn := n + n
+	groups := [][]OpCode{}
+	group := []OpCode{}
+	for _, c := range codes {
+		i1, i2, j1, j2 := c.I1, c.I2, c.J1, c.J2
+		// End the current group and start a new one whenever
+		// there is a large range with no changes.
+		if c.Tag == 'e' && i2-i1 > nn {
+			group = append(group, OpCode{
+				c.Tag, i1, min(i2, i1+n),
+				j1, min(j2, j1+n),
+			})
+			groups = append(groups, group)
+			group = []OpCode{}
+			i1, j1 = max(i1, i2-n), max(j1, j2-n)
+		}
+		group = append(group, OpCode{c.Tag, i1, i2, j1, j2})
+	}
+	if len(group) > 0 && !(len(group) == 1 && group[0].Tag == 'e') {
+		groups = append(groups, group)
+	}
+	return groups
+}
+
+// Return a measure of the sequences' similarity (float in [0,1]).
+//
+// Where T is the total number of elements in both sequences, and
+// M is the number of matches, this is 2.0*M / T.
+// Note that this is 1 if the sequences are identical, and 0 if
+// they have nothing in common.
+//
+// .Ratio() is expensive to compute if you haven't already computed
+// .GetMatchingBlocks() or .GetOpCodes(), in which case you may
+// want to try .QuickRatio() or .RealQuickRation() first to get an
+// upper bound.
+func (m *SequenceMatcher) Ratio() float64 {
+	matches := 0
+	for _, m := range m.GetMatchingBlocks() {
+		matches += m.Size
+	}
+	return calculateRatio(matches, len(m.a)+len(m.b))
+}
+
+// Return an upper bound on ratio() relatively quickly.
+//
+// This isn't defined beyond that it is an upper bound on .Ratio(), and
+// is faster to compute.
+func (m *SequenceMatcher) QuickRatio() float64 {
+	// viewing a and b as multisets, set matches to the cardinality
+	// of their intersection; this counts the number of matches
+	// without regard to order, so is clearly an upper bound
+	if m.fullBCount == nil {
+		m.fullBCount = map[string]int{}
+		for _, s := range m.b {
+			m.fullBCount[s]++
+		}
+	}
+
+	// avail[x] is the number of times x appears in 'b' less the
+	// number of times we've seen it in 'a' so far ... kinda
+	avail := map[string]int{}
+	matches := 0
+	for _, s := range m.a {
+		n, ok := avail[s]
+		if !ok {
+			n = m.fullBCount[s]
+		}
+		avail[s] = n - 1
+		if n > 0 {
+			matches++
+		}
+	}
+	return calculateRatio(matches, len(m.a)+len(m.b))
+}
+
+// Return an upper bound on ratio() very quickly.
+//
+// This isn't defined beyond that it is an upper bound on .Ratio(), and
+// is faster to compute than either .Ratio() or .QuickRatio().
+func (m *SequenceMatcher) RealQuickRatio() float64 {
+	la, lb := len(m.a), len(m.b)
+	return calculateRatio(min(la, lb), la+lb)
+}
+
+// Convert range to the "ed" format
+func formatRangeUnified(start, stop int) string {
+	// Per the diff spec at http://www.unix.org/single_unix_specification/
+	beginning := start + 1 // lines start numbering with one
+	length := stop - start
+	if length == 1 {
+		return fmt.Sprintf("%d", beginning)
+	}
+	if length == 0 {
+		beginning-- // empty ranges begin at line just before the range
+	}
+	return fmt.Sprintf("%d,%d", beginning, length)
+}
+
+// Unified diff parameters
+type UnifiedDiff struct {
+	A        []string // First sequence lines
+	FromFile string   // First file name
+	FromDate string   // First file time
+	B        []string // Second sequence lines
+	ToFile   string   // Second file name
+	ToDate   string   // Second file time
+	Eol      string   // Headers end of line, defaults to LF
+	Context  int      // Number of context lines
+}
+
+// Compare two sequences of lines; generate the delta as a unified diff.
+//
+// Unified diffs are a compact way of showing line changes and a few
+// lines of context.  The number of context lines is set by 'n' which
+// defaults to three.
+//
+// By default, the diff control lines (those with ---, +++, or @@) are
+// created with a trailing newline.  This is helpful so that inputs
+// created from file.readlines() result in diffs that are suitable for
+// file.writelines() since both the inputs and outputs have trailing
+// newlines.
+//
+// For inputs that do not have trailing newlines, set the lineterm
+// argument to "" so that the output will be uniformly newline free.
+//
+// The unidiff format normally has a header for filenames and modification
+// times.  Any or all of these may be specified using strings for
+// 'fromfile', 'tofile', 'fromfiledate', and 'tofiledate'.
+// The modification times are normally expressed in the ISO 8601 format.
+func WriteUnifiedDiff(writer io.Writer, diff UnifiedDiff) error {
+	buf := bufio.NewWriter(writer)
+	defer buf.Flush()
+	wf := func(format string, args ...interface{}) error {
+		_, err := buf.WriteString(fmt.Sprintf(format, args...))
+		return err
+	}
+	ws := func(s string) error {
+		_, err := buf.WriteString(s)
+		return err
+	}
+
+	if len(diff.Eol) == 0 {
+		diff.Eol = "\n"
+	}
+
+	started := false
+	m := NewMatcher(diff.A, diff.B)
+	for _, g := range m.GetGroupedOpCodes(diff.Context) {
+		if !started {
+			started = true
+			fromDate := ""
+			if len(diff.FromDate) > 0 {
+				fromDate = "\t" + diff.FromDate
+			}
+			toDate := ""
+			if len(diff.ToDate) > 0 {
+				toDate = "\t" + diff.ToDate
+			}
+			if diff.FromFile != "" || diff.ToFile != "" {
+				err := wf("--- %s%s%s", diff.FromFile, fromDate, diff.Eol)
+				if err != nil {
+					return err
+				}
+				err = wf("+++ %s%s%s", diff.ToFile, toDate, diff.Eol)
+				if err != nil {
+					return err
+				}
+			}
+		}
+		first, last := g[0], g[len(g)-1]
+		range1 := formatRangeUnified(first.I1, last.I2)
+		range2 := formatRangeUnified(first.J1, last.J2)
+		if err := wf("@@ -%s +%s @@%s", range1, range2, diff.Eol); err != nil {
+			return err
+		}
+		for _, c := range g {
+			i1, i2, j1, j2 := c.I1, c.I2, c.J1, c.J2
+			if c.Tag == 'e' {
+				for _, line := range diff.A[i1:i2] {
+					if err := ws(" " + line); err != nil {
+						return err
+					}
+				}
+				continue
+			}
+			if c.Tag == 'r' || c.Tag == 'd' {
+				for _, line := range diff.A[i1:i2] {
+					if err := ws("-" + line); err != nil {
+						return err
+					}
+				}
+			}
+			if c.Tag == 'r' || c.Tag == 'i' {
+				for _, line := range diff.B[j1:j2] {
+					if err := ws("+" + line); err != nil {
+						return err
+					}
+				}
+			}
+		}
+	}
+	return nil
+}
+
+// Like WriteUnifiedDiff but returns the diff a string.
+func GetUnifiedDiffString(diff UnifiedDiff) (string, error) {
+	w := &bytes.Buffer{}
+	err := WriteUnifiedDiff(w, diff)
+	return w.String(), err
+}
+
+// Split a string on "\n" while preserving them. The output can be used
+// as input for UnifiedDiff and ContextDiff structures.
+func SplitLines(s string) []string {
+	lines := strings.SplitAfter(s, "\n")
+	lines[len(lines)-1] += "\n"
+	return lines
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/internal/go_collector_options.go b/vendor/github.com/prometheus/client_golang/prometheus/internal/go_collector_options.go
new file mode 100644
index 000000000..723b45d64
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/internal/go_collector_options.go
@@ -0,0 +1,32 @@
+// Copyright 2021 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package internal
+
+import "regexp"
+
+type GoCollectorRule struct {
+	Matcher *regexp.Regexp
+	Deny    bool
+}
+
+// GoCollectorOptions should not be used be directly by anything, except `collectors` package.
+// Use it via collectors package instead. See issue
+// https://github.com/prometheus/client_golang/issues/1030.
+//
+// This is internal, so external users only can use it via `collector.WithGoCollector*` methods
+type GoCollectorOptions struct {
+	DisableMemStatsLikeMetrics bool
+	RuntimeMetricSumForHist    map[string]string
+	RuntimeMetricRules         []GoCollectorRule
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/internal/go_runtime_metrics.go b/vendor/github.com/prometheus/client_golang/prometheus/internal/go_runtime_metrics.go
new file mode 100644
index 000000000..97d17d6cb
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/internal/go_runtime_metrics.go
@@ -0,0 +1,142 @@
+// Copyright 2021 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+//go:build go1.17
+// +build go1.17
+
+package internal
+
+import (
+	"math"
+	"path"
+	"runtime/metrics"
+	"strings"
+
+	"github.com/prometheus/common/model"
+)
+
+// RuntimeMetricsToProm produces a Prometheus metric name from a runtime/metrics
+// metric description and validates whether the metric is suitable for integration
+// with Prometheus.
+//
+// Returns false if a name could not be produced, or if Prometheus does not understand
+// the runtime/metrics Kind.
+//
+// Note that the main reason a name couldn't be produced is if the runtime/metrics
+// package exports a name with characters outside the valid Prometheus metric name
+// character set. This is theoretically possible, but should never happen in practice.
+// Still, don't rely on it.
+func RuntimeMetricsToProm(d *metrics.Description) (string, string, string, bool) {
+	namespace := "go"
+
+	comp := strings.SplitN(d.Name, ":", 2)
+	key := comp[0]
+	unit := comp[1]
+
+	// The last path element in the key is the name,
+	// the rest is the subsystem.
+	subsystem := path.Dir(key[1:] /* remove leading / */)
+	name := path.Base(key)
+
+	// subsystem is translated by replacing all / and - with _.
+	subsystem = strings.ReplaceAll(subsystem, "/", "_")
+	subsystem = strings.ReplaceAll(subsystem, "-", "_")
+
+	// unit is translated assuming that the unit contains no
+	// non-ASCII characters.
+	unit = strings.ReplaceAll(unit, "-", "_")
+	unit = strings.ReplaceAll(unit, "*", "_")
+	unit = strings.ReplaceAll(unit, "/", "_per_")
+
+	// name has - replaced with _ and is concatenated with the unit and
+	// other data.
+	name = strings.ReplaceAll(name, "-", "_")
+	name += "_" + unit
+	if d.Cumulative && d.Kind != metrics.KindFloat64Histogram {
+		name += "_total"
+	}
+
+	valid := model.IsValidMetricName(model.LabelValue(namespace + "_" + subsystem + "_" + name))
+	switch d.Kind {
+	case metrics.KindUint64:
+	case metrics.KindFloat64:
+	case metrics.KindFloat64Histogram:
+	default:
+		valid = false
+	}
+	return namespace, subsystem, name, valid
+}
+
+// RuntimeMetricsBucketsForUnit takes a set of buckets obtained for a runtime/metrics histogram
+// type (so, lower-bound inclusive) and a unit from a runtime/metrics name, and produces
+// a reduced set of buckets. This function always removes any -Inf bucket as it's represented
+// as the bottom-most upper-bound inclusive bucket in Prometheus.
+func RuntimeMetricsBucketsForUnit(buckets []float64, unit string) []float64 {
+	switch unit {
+	case "bytes":
+		// Re-bucket as powers of 2.
+		return reBucketExp(buckets, 2)
+	case "seconds":
+		// Re-bucket as powers of 10 and then merge all buckets greater
+		// than 1 second into the +Inf bucket.
+		b := reBucketExp(buckets, 10)
+		for i := range b {
+			if b[i] <= 1 {
+				continue
+			}
+			b[i] = math.Inf(1)
+			b = b[:i+1]
+			break
+		}
+		return b
+	}
+	return buckets
+}
+
+// reBucketExp takes a list of bucket boundaries (lower bound inclusive) and
+// downsamples the buckets to those a multiple of base apart. The end result
+// is a roughly exponential (in many cases, perfectly exponential) bucketing
+// scheme.
+func reBucketExp(buckets []float64, base float64) []float64 {
+	bucket := buckets[0]
+	var newBuckets []float64
+	// We may see a -Inf here, in which case, add it and skip it
+	// since we risk producing NaNs otherwise.
+	//
+	// We need to preserve -Inf values to maintain runtime/metrics
+	// conventions. We'll strip it out later.
+	if bucket == math.Inf(-1) {
+		newBuckets = append(newBuckets, bucket)
+		buckets = buckets[1:]
+		bucket = buckets[0]
+	}
+	// From now on, bucket should always have a non-Inf value because
+	// Infs are only ever at the ends of the bucket lists, so
+	// arithmetic operations on it are non-NaN.
+	for i := 1; i < len(buckets); i++ {
+		if bucket >= 0 && buckets[i] < bucket*base {
+			// The next bucket we want to include is at least bucket*base.
+			continue
+		} else if bucket < 0 && buckets[i] < bucket/base {
+			// In this case the bucket we're targeting is negative, and since
+			// we're ascending through buckets here, we need to divide to get
+			// closer to zero exponentially.
+			continue
+		}
+		// The +Inf bucket will always be the last one, and we'll always
+		// end up including it here because bucket
+		newBuckets = append(newBuckets, bucket)
+		bucket = buckets[i]
+	}
+	return append(newBuckets, bucket)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/internal/metric.go b/vendor/github.com/prometheus/client_golang/prometheus/internal/metric.go
new file mode 100644
index 000000000..6515c1148
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/internal/metric.go
@@ -0,0 +1,101 @@
+// Copyright 2018 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package internal
+
+import (
+	"sort"
+
+	dto "github.com/prometheus/client_model/go"
+)
+
+// LabelPairSorter implements sort.Interface. It is used to sort a slice of
+// dto.LabelPair pointers.
+type LabelPairSorter []*dto.LabelPair
+
+func (s LabelPairSorter) Len() int {
+	return len(s)
+}
+
+func (s LabelPairSorter) Swap(i, j int) {
+	s[i], s[j] = s[j], s[i]
+}
+
+func (s LabelPairSorter) Less(i, j int) bool {
+	return s[i].GetName() < s[j].GetName()
+}
+
+// MetricSorter is a sortable slice of *dto.Metric.
+type MetricSorter []*dto.Metric
+
+func (s MetricSorter) Len() int {
+	return len(s)
+}
+
+func (s MetricSorter) Swap(i, j int) {
+	s[i], s[j] = s[j], s[i]
+}
+
+func (s MetricSorter) Less(i, j int) bool {
+	if len(s[i].Label) != len(s[j].Label) {
+		// This should not happen. The metrics are
+		// inconsistent. However, we have to deal with the fact, as
+		// people might use custom collectors or metric family injection
+		// to create inconsistent metrics. So let's simply compare the
+		// number of labels in this case. That will still yield
+		// reproducible sorting.
+		return len(s[i].Label) < len(s[j].Label)
+	}
+	for n, lp := range s[i].Label {
+		vi := lp.GetValue()
+		vj := s[j].Label[n].GetValue()
+		if vi != vj {
+			return vi < vj
+		}
+	}
+
+	// We should never arrive here. Multiple metrics with the same
+	// label set in the same scrape will lead to undefined ingestion
+	// behavior. However, as above, we have to provide stable sorting
+	// here, even for inconsistent metrics. So sort equal metrics
+	// by their timestamp, with missing timestamps (implying "now")
+	// coming last.
+	if s[i].TimestampMs == nil {
+		return false
+	}
+	if s[j].TimestampMs == nil {
+		return true
+	}
+	return s[i].GetTimestampMs() < s[j].GetTimestampMs()
+}
+
+// NormalizeMetricFamilies returns a MetricFamily slice with empty
+// MetricFamilies pruned and the remaining MetricFamilies sorted by name within
+// the slice, with the contained Metrics sorted within each MetricFamily.
+func NormalizeMetricFamilies(metricFamiliesByName map[string]*dto.MetricFamily) []*dto.MetricFamily {
+	for _, mf := range metricFamiliesByName {
+		sort.Sort(MetricSorter(mf.Metric))
+	}
+	names := make([]string, 0, len(metricFamiliesByName))
+	for name, mf := range metricFamiliesByName {
+		if len(mf.Metric) > 0 {
+			names = append(names, name)
+		}
+	}
+	sort.Strings(names)
+	result := make([]*dto.MetricFamily, 0, len(names))
+	for _, name := range names {
+		result = append(result, metricFamiliesByName[name])
+	}
+	return result
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/labels.go b/vendor/github.com/prometheus/client_golang/prometheus/labels.go
new file mode 100644
index 000000000..b3c4eca2b
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/labels.go
@@ -0,0 +1,186 @@
+// Copyright 2018 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"errors"
+	"fmt"
+	"strings"
+	"unicode/utf8"
+
+	"github.com/prometheus/common/model"
+)
+
+// Labels represents a collection of label name -> value mappings. This type is
+// commonly used with the With(Labels) and GetMetricWith(Labels) methods of
+// metric vector Collectors, e.g.:
+//
+//	myVec.With(Labels{"code": "404", "method": "GET"}).Add(42)
+//
+// The other use-case is the specification of constant label pairs in Opts or to
+// create a Desc.
+type Labels map[string]string
+
+// LabelConstraint normalizes label values.
+type LabelConstraint func(string) string
+
+// ConstrainedLabels represents a label name and its constrain function
+// to normalize label values. This type is commonly used when constructing
+// metric vector Collectors.
+type ConstrainedLabel struct {
+	Name       string
+	Constraint LabelConstraint
+}
+
+// ConstrainableLabels is an interface that allows creating of labels that can
+// be optionally constrained.
+//
+//	prometheus.V2().NewCounterVec(CounterVecOpts{
+//	  CounterOpts: {...}, // Usual CounterOpts fields
+//	  VariableLabels: []ConstrainedLabels{
+//	    {Name: "A"},
+//	    {Name: "B", Constraint: func(v string) string { ... }},
+//	  },
+//	})
+type ConstrainableLabels interface {
+	compile() *compiledLabels
+	labelNames() []string
+}
+
+// ConstrainedLabels represents a collection of label name -> constrain function
+// to normalize label values. This type is commonly used when constructing
+// metric vector Collectors.
+type ConstrainedLabels []ConstrainedLabel
+
+func (cls ConstrainedLabels) compile() *compiledLabels {
+	compiled := &compiledLabels{
+		names:            make([]string, len(cls)),
+		labelConstraints: map[string]LabelConstraint{},
+	}
+
+	for i, label := range cls {
+		compiled.names[i] = label.Name
+		if label.Constraint != nil {
+			compiled.labelConstraints[label.Name] = label.Constraint
+		}
+	}
+
+	return compiled
+}
+
+func (cls ConstrainedLabels) labelNames() []string {
+	names := make([]string, len(cls))
+	for i, label := range cls {
+		names[i] = label.Name
+	}
+	return names
+}
+
+// UnconstrainedLabels represents collection of label without any constraint on
+// their value. Thus, it is simply a collection of label names.
+//
+//	UnconstrainedLabels([]string{ "A", "B" })
+//
+// is equivalent to
+//
+//	ConstrainedLabels {
+//	  { Name: "A" },
+//	  { Name: "B" },
+//	}
+type UnconstrainedLabels []string
+
+func (uls UnconstrainedLabels) compile() *compiledLabels {
+	return &compiledLabels{
+		names: uls,
+	}
+}
+
+func (uls UnconstrainedLabels) labelNames() []string {
+	return uls
+}
+
+type compiledLabels struct {
+	names            []string
+	labelConstraints map[string]LabelConstraint
+}
+
+func (cls *compiledLabels) compile() *compiledLabels {
+	return cls
+}
+
+func (cls *compiledLabels) labelNames() []string {
+	return cls.names
+}
+
+func (cls *compiledLabels) constrain(labelName, value string) string {
+	if fn, ok := cls.labelConstraints[labelName]; ok && fn != nil {
+		return fn(value)
+	}
+	return value
+}
+
+// reservedLabelPrefix is a prefix which is not legal in user-supplied
+// label names.
+const reservedLabelPrefix = "__"
+
+var errInconsistentCardinality = errors.New("inconsistent label cardinality")
+
+func makeInconsistentCardinalityError(fqName string, labels, labelValues []string) error {
+	return fmt.Errorf(
+		"%w: %q has %d variable labels named %q but %d values %q were provided",
+		errInconsistentCardinality, fqName,
+		len(labels), labels,
+		len(labelValues), labelValues,
+	)
+}
+
+func validateValuesInLabels(labels Labels, expectedNumberOfValues int) error {
+	if len(labels) != expectedNumberOfValues {
+		return fmt.Errorf(
+			"%w: expected %d label values but got %d in %#v",
+			errInconsistentCardinality, expectedNumberOfValues,
+			len(labels), labels,
+		)
+	}
+
+	for name, val := range labels {
+		if !utf8.ValidString(val) {
+			return fmt.Errorf("label %s: value %q is not valid UTF-8", name, val)
+		}
+	}
+
+	return nil
+}
+
+func validateLabelValues(vals []string, expectedNumberOfValues int) error {
+	if len(vals) != expectedNumberOfValues {
+		return fmt.Errorf(
+			"%w: expected %d label values but got %d in %#v",
+			errInconsistentCardinality, expectedNumberOfValues,
+			len(vals), vals,
+		)
+	}
+
+	for _, val := range vals {
+		if !utf8.ValidString(val) {
+			return fmt.Errorf("label value %q is not valid UTF-8", val)
+		}
+	}
+
+	return nil
+}
+
+func checkLabelName(l string) bool {
+	return model.LabelName(l).IsValid() && !strings.HasPrefix(l, reservedLabelPrefix)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/metric.go b/vendor/github.com/prometheus/client_golang/prometheus/metric.go
new file mode 100644
index 000000000..f018e5723
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/metric.go
@@ -0,0 +1,257 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"errors"
+	"math"
+	"sort"
+	"strings"
+	"time"
+
+	dto "github.com/prometheus/client_model/go"
+	"github.com/prometheus/common/model"
+	"google.golang.org/protobuf/proto"
+)
+
+var separatorByteSlice = []byte{model.SeparatorByte} // For convenient use with xxhash.
+
+// A Metric models a single sample value with its meta data being exported to
+// Prometheus. Implementations of Metric in this package are Gauge, Counter,
+// Histogram, Summary, and Untyped.
+type Metric interface {
+	// Desc returns the descriptor for the Metric. This method idempotently
+	// returns the same descriptor throughout the lifetime of the
+	// Metric. The returned descriptor is immutable by contract. A Metric
+	// unable to describe itself must return an invalid descriptor (created
+	// with NewInvalidDesc).
+	Desc() *Desc
+	// Write encodes the Metric into a "Metric" Protocol Buffer data
+	// transmission object.
+	//
+	// Metric implementations must observe concurrency safety as reads of
+	// this metric may occur at any time, and any blocking occurs at the
+	// expense of total performance of rendering all registered
+	// metrics. Ideally, Metric implementations should support concurrent
+	// readers.
+	//
+	// While populating dto.Metric, it is the responsibility of the
+	// implementation to ensure validity of the Metric protobuf (like valid
+	// UTF-8 strings or syntactically valid metric and label names). It is
+	// recommended to sort labels lexicographically. Callers of Write should
+	// still make sure of sorting if they depend on it.
+	Write(*dto.Metric) error
+	// TODO(beorn7): The original rationale of passing in a pre-allocated
+	// dto.Metric protobuf to save allocations has disappeared. The
+	// signature of this method should be changed to "Write() (*dto.Metric,
+	// error)".
+}
+
+// Opts bundles the options for creating most Metric types. Each metric
+// implementation XXX has its own XXXOpts type, but in most cases, it is just
+// an alias of this type (which might change when the requirement arises.)
+//
+// It is mandatory to set Name to a non-empty string. All other fields are
+// optional and can safely be left at their zero value, although it is strongly
+// encouraged to set a Help string.
+type Opts struct {
+	// Namespace, Subsystem, and Name are components of the fully-qualified
+	// name of the Metric (created by joining these components with
+	// "_"). Only Name is mandatory, the others merely help structuring the
+	// name. Note that the fully-qualified name of the metric must be a
+	// valid Prometheus metric name.
+	Namespace string
+	Subsystem string
+	Name      string
+
+	// Help provides information about this metric.
+	//
+	// Metrics with the same fully-qualified name must have the same Help
+	// string.
+	Help string
+
+	// ConstLabels are used to attach fixed labels to this metric. Metrics
+	// with the same fully-qualified name must have the same label names in
+	// their ConstLabels.
+	//
+	// ConstLabels are only used rarely. In particular, do not use them to
+	// attach the same labels to all your metrics. Those use cases are
+	// better covered by target labels set by the scraping Prometheus
+	// server, or by one specific metric (e.g. a build_info or a
+	// machine_role metric). See also
+	// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels-not-static-scraped-labels
+	ConstLabels Labels
+
+	// now is for testing purposes, by default it's time.Now.
+	now func() time.Time
+}
+
+// BuildFQName joins the given three name components by "_". Empty name
+// components are ignored. If the name parameter itself is empty, an empty
+// string is returned, no matter what. Metric implementations included in this
+// library use this function internally to generate the fully-qualified metric
+// name from the name component in their Opts. Users of the library will only
+// need this function if they implement their own Metric or instantiate a Desc
+// (with NewDesc) directly.
+func BuildFQName(namespace, subsystem, name string) string {
+	if name == "" {
+		return ""
+	}
+	switch {
+	case namespace != "" && subsystem != "":
+		return strings.Join([]string{namespace, subsystem, name}, "_")
+	case namespace != "":
+		return strings.Join([]string{namespace, name}, "_")
+	case subsystem != "":
+		return strings.Join([]string{subsystem, name}, "_")
+	}
+	return name
+}
+
+type invalidMetric struct {
+	desc *Desc
+	err  error
+}
+
+// NewInvalidMetric returns a metric whose Write method always returns the
+// provided error. It is useful if a Collector finds itself unable to collect
+// a metric and wishes to report an error to the registry.
+func NewInvalidMetric(desc *Desc, err error) Metric {
+	return &invalidMetric{desc, err}
+}
+
+func (m *invalidMetric) Desc() *Desc { return m.desc }
+
+func (m *invalidMetric) Write(*dto.Metric) error { return m.err }
+
+type timestampedMetric struct {
+	Metric
+	t time.Time
+}
+
+func (m timestampedMetric) Write(pb *dto.Metric) error {
+	e := m.Metric.Write(pb)
+	pb.TimestampMs = proto.Int64(m.t.Unix()*1000 + int64(m.t.Nanosecond()/1000000))
+	return e
+}
+
+// NewMetricWithTimestamp returns a new Metric wrapping the provided Metric in a
+// way that it has an explicit timestamp set to the provided Time. This is only
+// useful in rare cases as the timestamp of a Prometheus metric should usually
+// be set by the Prometheus server during scraping. Exceptions include mirroring
+// metrics with given timestamps from other metric
+// sources.
+//
+// NewMetricWithTimestamp works best with MustNewConstMetric,
+// MustNewConstHistogram, and MustNewConstSummary, see example.
+//
+// Currently, the exposition formats used by Prometheus are limited to
+// millisecond resolution. Thus, the provided time will be rounded down to the
+// next full millisecond value.
+func NewMetricWithTimestamp(t time.Time, m Metric) Metric {
+	return timestampedMetric{Metric: m, t: t}
+}
+
+type withExemplarsMetric struct {
+	Metric
+
+	exemplars []*dto.Exemplar
+}
+
+func (m *withExemplarsMetric) Write(pb *dto.Metric) error {
+	if err := m.Metric.Write(pb); err != nil {
+		return err
+	}
+
+	switch {
+	case pb.Counter != nil:
+		pb.Counter.Exemplar = m.exemplars[len(m.exemplars)-1]
+	case pb.Histogram != nil:
+		for _, e := range m.exemplars {
+			// pb.Histogram.Bucket are sorted by UpperBound.
+			i := sort.Search(len(pb.Histogram.Bucket), func(i int) bool {
+				return pb.Histogram.Bucket[i].GetUpperBound() >= e.GetValue()
+			})
+			if i < len(pb.Histogram.Bucket) {
+				pb.Histogram.Bucket[i].Exemplar = e
+			} else {
+				// The +Inf bucket should be explicitly added if there is an exemplar for it, similar to non-const histogram logic in https://github.com/prometheus/client_golang/blob/main/prometheus/histogram.go#L357-L365.
+				b := &dto.Bucket{
+					CumulativeCount: proto.Uint64(pb.Histogram.GetSampleCount()),
+					UpperBound:      proto.Float64(math.Inf(1)),
+					Exemplar:        e,
+				}
+				pb.Histogram.Bucket = append(pb.Histogram.Bucket, b)
+			}
+		}
+	default:
+		// TODO(bwplotka): Implement Gauge?
+		return errors.New("cannot inject exemplar into Gauge, Summary or Untyped")
+	}
+
+	return nil
+}
+
+// Exemplar is easier to use, user-facing representation of *dto.Exemplar.
+type Exemplar struct {
+	Value  float64
+	Labels Labels
+	// Optional.
+	// Default value (time.Time{}) indicates its empty, which should be
+	// understood as time.Now() time at the moment of creation of metric.
+	Timestamp time.Time
+}
+
+// NewMetricWithExemplars returns a new Metric wrapping the provided Metric with given
+// exemplars. Exemplars are validated.
+//
+// Only last applicable exemplar is injected from the list.
+// For example for Counter it means last exemplar is injected.
+// For Histogram, it means last applicable exemplar for each bucket is injected.
+//
+// NewMetricWithExemplars works best with MustNewConstMetric and
+// MustNewConstHistogram, see example.
+func NewMetricWithExemplars(m Metric, exemplars ...Exemplar) (Metric, error) {
+	if len(exemplars) == 0 {
+		return nil, errors.New("no exemplar was passed for NewMetricWithExemplars")
+	}
+
+	var (
+		now = time.Now()
+		exs = make([]*dto.Exemplar, len(exemplars))
+		err error
+	)
+	for i, e := range exemplars {
+		ts := e.Timestamp
+		if ts == (time.Time{}) {
+			ts = now
+		}
+		exs[i], err = newExemplar(e.Value, ts, e.Labels)
+		if err != nil {
+			return nil, err
+		}
+	}
+
+	return &withExemplarsMetric{Metric: m, exemplars: exs}, nil
+}
+
+// MustNewMetricWithExemplars is a version of NewMetricWithExemplars that panics where
+// NewMetricWithExemplars would have returned an error.
+func MustNewMetricWithExemplars(m Metric, exemplars ...Exemplar) Metric {
+	ret, err := NewMetricWithExemplars(m, exemplars...)
+	if err != nil {
+		panic(err)
+	}
+	return ret
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/num_threads.go b/vendor/github.com/prometheus/client_golang/prometheus/num_threads.go
new file mode 100644
index 000000000..7c12b2108
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/num_threads.go
@@ -0,0 +1,25 @@
+// Copyright 2018 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+//go:build !js || wasm
+// +build !js wasm
+
+package prometheus
+
+import "runtime"
+
+// getRuntimeNumThreads returns the number of open OS threads.
+func getRuntimeNumThreads() float64 {
+	n, _ := runtime.ThreadCreateProfile(nil)
+	return float64(n)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/num_threads_gopherjs.go b/vendor/github.com/prometheus/client_golang/prometheus/num_threads_gopherjs.go
new file mode 100644
index 000000000..7348df01d
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/num_threads_gopherjs.go
@@ -0,0 +1,22 @@
+// Copyright 2018 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+//go:build js && !wasm
+// +build js,!wasm
+
+package prometheus
+
+// getRuntimeNumThreads returns the number of open OS threads.
+func getRuntimeNumThreads() float64 {
+	return 1
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/observer.go b/vendor/github.com/prometheus/client_golang/prometheus/observer.go
new file mode 100644
index 000000000..03773b21f
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/observer.go
@@ -0,0 +1,64 @@
+// Copyright 2017 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+// Observer is the interface that wraps the Observe method, which is used by
+// Histogram and Summary to add observations.
+type Observer interface {
+	Observe(float64)
+}
+
+// The ObserverFunc type is an adapter to allow the use of ordinary
+// functions as Observers. If f is a function with the appropriate
+// signature, ObserverFunc(f) is an Observer that calls f.
+//
+// This adapter is usually used in connection with the Timer type, and there are
+// two general use cases:
+//
+// The most common one is to use a Gauge as the Observer for a Timer.
+// See the "Gauge" Timer example.
+//
+// The more advanced use case is to create a function that dynamically decides
+// which Observer to use for observing the duration. See the "Complex" Timer
+// example.
+type ObserverFunc func(float64)
+
+// Observe calls f(value). It implements Observer.
+func (f ObserverFunc) Observe(value float64) {
+	f(value)
+}
+
+// ObserverVec is an interface implemented by `HistogramVec` and `SummaryVec`.
+type ObserverVec interface {
+	GetMetricWith(Labels) (Observer, error)
+	GetMetricWithLabelValues(lvs ...string) (Observer, error)
+	With(Labels) Observer
+	WithLabelValues(...string) Observer
+	CurryWith(Labels) (ObserverVec, error)
+	MustCurryWith(Labels) ObserverVec
+
+	Collector
+}
+
+// ExemplarObserver is implemented by Observers that offer the option of
+// observing a value together with an exemplar. Its ObserveWithExemplar method
+// works like the Observe method of an Observer but also replaces the currently
+// saved exemplar (if any) with a new one, created from the provided value, the
+// current time as timestamp, and the provided Labels. Empty Labels will lead to
+// a valid (label-less) exemplar. But if Labels is nil, the current exemplar is
+// left in place. ObserveWithExemplar panics if any of the provided labels are
+// invalid or if the provided labels contain more than 128 runes in total.
+type ExemplarObserver interface {
+	ObserveWithExemplar(value float64, exemplar Labels)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/process_collector.go b/vendor/github.com/prometheus/client_golang/prometheus/process_collector.go
new file mode 100644
index 000000000..8548dd18e
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/process_collector.go
@@ -0,0 +1,164 @@
+// Copyright 2015 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"errors"
+	"fmt"
+	"os"
+	"strconv"
+	"strings"
+)
+
+type processCollector struct {
+	collectFn       func(chan<- Metric)
+	pidFn           func() (int, error)
+	reportErrors    bool
+	cpuTotal        *Desc
+	openFDs, maxFDs *Desc
+	vsize, maxVsize *Desc
+	rss             *Desc
+	startTime       *Desc
+}
+
+// ProcessCollectorOpts defines the behavior of a process metrics collector
+// created with NewProcessCollector.
+type ProcessCollectorOpts struct {
+	// PidFn returns the PID of the process the collector collects metrics
+	// for. It is called upon each collection. By default, the PID of the
+	// current process is used, as determined on construction time by
+	// calling os.Getpid().
+	PidFn func() (int, error)
+	// If non-empty, each of the collected metrics is prefixed by the
+	// provided string and an underscore ("_").
+	Namespace string
+	// If true, any error encountered during collection is reported as an
+	// invalid metric (see NewInvalidMetric). Otherwise, errors are ignored
+	// and the collected metrics will be incomplete. (Possibly, no metrics
+	// will be collected at all.) While that's usually not desired, it is
+	// appropriate for the common "mix-in" of process metrics, where process
+	// metrics are nice to have, but failing to collect them should not
+	// disrupt the collection of the remaining metrics.
+	ReportErrors bool
+}
+
+// NewProcessCollector is the obsolete version of collectors.NewProcessCollector.
+// See there for documentation.
+//
+// Deprecated: Use collectors.NewProcessCollector instead.
+func NewProcessCollector(opts ProcessCollectorOpts) Collector {
+	ns := ""
+	if len(opts.Namespace) > 0 {
+		ns = opts.Namespace + "_"
+	}
+
+	c := &processCollector{
+		reportErrors: opts.ReportErrors,
+		cpuTotal: NewDesc(
+			ns+"process_cpu_seconds_total",
+			"Total user and system CPU time spent in seconds.",
+			nil, nil,
+		),
+		openFDs: NewDesc(
+			ns+"process_open_fds",
+			"Number of open file descriptors.",
+			nil, nil,
+		),
+		maxFDs: NewDesc(
+			ns+"process_max_fds",
+			"Maximum number of open file descriptors.",
+			nil, nil,
+		),
+		vsize: NewDesc(
+			ns+"process_virtual_memory_bytes",
+			"Virtual memory size in bytes.",
+			nil, nil,
+		),
+		maxVsize: NewDesc(
+			ns+"process_virtual_memory_max_bytes",
+			"Maximum amount of virtual memory available in bytes.",
+			nil, nil,
+		),
+		rss: NewDesc(
+			ns+"process_resident_memory_bytes",
+			"Resident memory size in bytes.",
+			nil, nil,
+		),
+		startTime: NewDesc(
+			ns+"process_start_time_seconds",
+			"Start time of the process since unix epoch in seconds.",
+			nil, nil,
+		),
+	}
+
+	if opts.PidFn == nil {
+		c.pidFn = getPIDFn()
+	} else {
+		c.pidFn = opts.PidFn
+	}
+
+	// Set up process metric collection if supported by the runtime.
+	if canCollectProcess() {
+		c.collectFn = c.processCollect
+	} else {
+		c.collectFn = func(ch chan<- Metric) {
+			c.reportError(ch, nil, errors.New("process metrics not supported on this platform"))
+		}
+	}
+
+	return c
+}
+
+// Describe returns all descriptions of the collector.
+func (c *processCollector) Describe(ch chan<- *Desc) {
+	ch <- c.cpuTotal
+	ch <- c.openFDs
+	ch <- c.maxFDs
+	ch <- c.vsize
+	ch <- c.maxVsize
+	ch <- c.rss
+	ch <- c.startTime
+}
+
+// Collect returns the current state of all metrics of the collector.
+func (c *processCollector) Collect(ch chan<- Metric) {
+	c.collectFn(ch)
+}
+
+func (c *processCollector) reportError(ch chan<- Metric, desc *Desc, err error) {
+	if !c.reportErrors {
+		return
+	}
+	if desc == nil {
+		desc = NewInvalidDesc(err)
+	}
+	ch <- NewInvalidMetric(desc, err)
+}
+
+// NewPidFileFn returns a function that retrieves a pid from the specified file.
+// It is meant to be used for the PidFn field in ProcessCollectorOpts.
+func NewPidFileFn(pidFilePath string) func() (int, error) {
+	return func() (int, error) {
+		content, err := os.ReadFile(pidFilePath)
+		if err != nil {
+			return 0, fmt.Errorf("can't read pid file %q: %w", pidFilePath, err)
+		}
+		pid, err := strconv.Atoi(strings.TrimSpace(string(content)))
+		if err != nil {
+			return 0, fmt.Errorf("can't parse pid file %q: %w", pidFilePath, err)
+		}
+
+		return pid, nil
+	}
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/process_collector_js.go b/vendor/github.com/prometheus/client_golang/prometheus/process_collector_js.go
new file mode 100644
index 000000000..b1e363d6c
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/process_collector_js.go
@@ -0,0 +1,26 @@
+// Copyright 2019 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+//go:build js
+// +build js
+
+package prometheus
+
+func canCollectProcess() bool {
+	return false
+}
+
+func (c *processCollector) processCollect(ch chan<- Metric) {
+	// noop on this platform
+	return
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/process_collector_other.go b/vendor/github.com/prometheus/client_golang/prometheus/process_collector_other.go
new file mode 100644
index 000000000..c0152cdb6
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/process_collector_other.go
@@ -0,0 +1,66 @@
+// Copyright 2019 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+//go:build !windows && !js
+// +build !windows,!js
+
+package prometheus
+
+import (
+	"github.com/prometheus/procfs"
+)
+
+func canCollectProcess() bool {
+	_, err := procfs.NewDefaultFS()
+	return err == nil
+}
+
+func (c *processCollector) processCollect(ch chan<- Metric) {
+	pid, err := c.pidFn()
+	if err != nil {
+		c.reportError(ch, nil, err)
+		return
+	}
+
+	p, err := procfs.NewProc(pid)
+	if err != nil {
+		c.reportError(ch, nil, err)
+		return
+	}
+
+	if stat, err := p.Stat(); err == nil {
+		ch <- MustNewConstMetric(c.cpuTotal, CounterValue, stat.CPUTime())
+		ch <- MustNewConstMetric(c.vsize, GaugeValue, float64(stat.VirtualMemory()))
+		ch <- MustNewConstMetric(c.rss, GaugeValue, float64(stat.ResidentMemory()))
+		if startTime, err := stat.StartTime(); err == nil {
+			ch <- MustNewConstMetric(c.startTime, GaugeValue, startTime)
+		} else {
+			c.reportError(ch, c.startTime, err)
+		}
+	} else {
+		c.reportError(ch, nil, err)
+	}
+
+	if fds, err := p.FileDescriptorsLen(); err == nil {
+		ch <- MustNewConstMetric(c.openFDs, GaugeValue, float64(fds))
+	} else {
+		c.reportError(ch, c.openFDs, err)
+	}
+
+	if limits, err := p.Limits(); err == nil {
+		ch <- MustNewConstMetric(c.maxFDs, GaugeValue, float64(limits.OpenFiles))
+		ch <- MustNewConstMetric(c.maxVsize, GaugeValue, float64(limits.AddressSpace))
+	} else {
+		c.reportError(ch, nil, err)
+	}
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/process_collector_windows.go b/vendor/github.com/prometheus/client_golang/prometheus/process_collector_windows.go
new file mode 100644
index 000000000..f973398df
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/process_collector_windows.go
@@ -0,0 +1,116 @@
+// Copyright 2019 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"syscall"
+	"unsafe"
+
+	"golang.org/x/sys/windows"
+)
+
+func canCollectProcess() bool {
+	return true
+}
+
+var (
+	modpsapi    = syscall.NewLazyDLL("psapi.dll")
+	modkernel32 = syscall.NewLazyDLL("kernel32.dll")
+
+	procGetProcessMemoryInfo  = modpsapi.NewProc("GetProcessMemoryInfo")
+	procGetProcessHandleCount = modkernel32.NewProc("GetProcessHandleCount")
+)
+
+type processMemoryCounters struct {
+	// System interface description
+	// https://docs.microsoft.com/en-us/windows/desktop/api/psapi/ns-psapi-process_memory_counters_ex
+
+	// Refer to the Golang internal implementation
+	// https://golang.org/src/internal/syscall/windows/psapi_windows.go
+	_                          uint32
+	PageFaultCount             uint32
+	PeakWorkingSetSize         uintptr
+	WorkingSetSize             uintptr
+	QuotaPeakPagedPoolUsage    uintptr
+	QuotaPagedPoolUsage        uintptr
+	QuotaPeakNonPagedPoolUsage uintptr
+	QuotaNonPagedPoolUsage     uintptr
+	PagefileUsage              uintptr
+	PeakPagefileUsage          uintptr
+	PrivateUsage               uintptr
+}
+
+func getProcessMemoryInfo(handle windows.Handle) (processMemoryCounters, error) {
+	mem := processMemoryCounters{}
+	r1, _, err := procGetProcessMemoryInfo.Call(
+		uintptr(handle),
+		uintptr(unsafe.Pointer(&mem)),
+		uintptr(unsafe.Sizeof(mem)),
+	)
+	if r1 != 1 {
+		return mem, err
+	} else {
+		return mem, nil
+	}
+}
+
+func getProcessHandleCount(handle windows.Handle) (uint32, error) {
+	var count uint32
+	r1, _, err := procGetProcessHandleCount.Call(
+		uintptr(handle),
+		uintptr(unsafe.Pointer(&count)),
+	)
+	if r1 != 1 {
+		return 0, err
+	} else {
+		return count, nil
+	}
+}
+
+func (c *processCollector) processCollect(ch chan<- Metric) {
+	h, err := windows.GetCurrentProcess()
+	if err != nil {
+		c.reportError(ch, nil, err)
+		return
+	}
+
+	var startTime, exitTime, kernelTime, userTime windows.Filetime
+	err = windows.GetProcessTimes(h, &startTime, &exitTime, &kernelTime, &userTime)
+	if err != nil {
+		c.reportError(ch, nil, err)
+		return
+	}
+	ch <- MustNewConstMetric(c.startTime, GaugeValue, float64(startTime.Nanoseconds()/1e9))
+	ch <- MustNewConstMetric(c.cpuTotal, CounterValue, fileTimeToSeconds(kernelTime)+fileTimeToSeconds(userTime))
+
+	mem, err := getProcessMemoryInfo(h)
+	if err != nil {
+		c.reportError(ch, nil, err)
+		return
+	}
+	ch <- MustNewConstMetric(c.vsize, GaugeValue, float64(mem.PrivateUsage))
+	ch <- MustNewConstMetric(c.rss, GaugeValue, float64(mem.WorkingSetSize))
+
+	handles, err := getProcessHandleCount(h)
+	if err != nil {
+		c.reportError(ch, nil, err)
+		return
+	}
+	ch <- MustNewConstMetric(c.openFDs, GaugeValue, float64(handles))
+	ch <- MustNewConstMetric(c.maxFDs, GaugeValue, float64(16*1024*1024)) // Windows has a hard-coded max limit, not per-process.
+}
+
+func fileTimeToSeconds(ft windows.Filetime) float64 {
+	return float64(uint64(ft.HighDateTime)<<32+uint64(ft.LowDateTime)) / 1e7
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/promhttp/delegator.go b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/delegator.go
new file mode 100644
index 000000000..9819917b8
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/delegator.go
@@ -0,0 +1,374 @@
+// Copyright 2017 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package promhttp
+
+import (
+	"bufio"
+	"io"
+	"net"
+	"net/http"
+)
+
+const (
+	closeNotifier = 1 << iota
+	flusher
+	hijacker
+	readerFrom
+	pusher
+)
+
+type delegator interface {
+	http.ResponseWriter
+
+	Status() int
+	Written() int64
+}
+
+type responseWriterDelegator struct {
+	http.ResponseWriter
+
+	status             int
+	written            int64
+	wroteHeader        bool
+	observeWriteHeader func(int)
+}
+
+func (r *responseWriterDelegator) Status() int {
+	return r.status
+}
+
+func (r *responseWriterDelegator) Written() int64 {
+	return r.written
+}
+
+func (r *responseWriterDelegator) WriteHeader(code int) {
+	if r.observeWriteHeader != nil && !r.wroteHeader {
+		// Only call observeWriteHeader for the 1st time. It's a bug if
+		// WriteHeader is called more than once, but we want to protect
+		// against it here. Note that we still delegate the WriteHeader
+		// to the original ResponseWriter to not mask the bug from it.
+		r.observeWriteHeader(code)
+	}
+	r.status = code
+	r.wroteHeader = true
+	r.ResponseWriter.WriteHeader(code)
+}
+
+func (r *responseWriterDelegator) Write(b []byte) (int, error) {
+	// If applicable, call WriteHeader here so that observeWriteHeader is
+	// handled appropriately.
+	if !r.wroteHeader {
+		r.WriteHeader(http.StatusOK)
+	}
+	n, err := r.ResponseWriter.Write(b)
+	r.written += int64(n)
+	return n, err
+}
+
+type (
+	closeNotifierDelegator struct{ *responseWriterDelegator }
+	flusherDelegator       struct{ *responseWriterDelegator }
+	hijackerDelegator      struct{ *responseWriterDelegator }
+	readerFromDelegator    struct{ *responseWriterDelegator }
+	pusherDelegator        struct{ *responseWriterDelegator }
+)
+
+func (d closeNotifierDelegator) CloseNotify() <-chan bool {
+	//nolint:staticcheck // Ignore SA1019. http.CloseNotifier is deprecated but we keep it here to not break existing users.
+	return d.ResponseWriter.(http.CloseNotifier).CloseNotify()
+}
+
+func (d flusherDelegator) Flush() {
+	// If applicable, call WriteHeader here so that observeWriteHeader is
+	// handled appropriately.
+	if !d.wroteHeader {
+		d.WriteHeader(http.StatusOK)
+	}
+	d.ResponseWriter.(http.Flusher).Flush()
+}
+
+func (d hijackerDelegator) Hijack() (net.Conn, *bufio.ReadWriter, error) {
+	return d.ResponseWriter.(http.Hijacker).Hijack()
+}
+
+func (d readerFromDelegator) ReadFrom(re io.Reader) (int64, error) {
+	// If applicable, call WriteHeader here so that observeWriteHeader is
+	// handled appropriately.
+	if !d.wroteHeader {
+		d.WriteHeader(http.StatusOK)
+	}
+	n, err := d.ResponseWriter.(io.ReaderFrom).ReadFrom(re)
+	d.written += n
+	return n, err
+}
+
+func (d pusherDelegator) Push(target string, opts *http.PushOptions) error {
+	return d.ResponseWriter.(http.Pusher).Push(target, opts)
+}
+
+var pickDelegator = make([]func(*responseWriterDelegator) delegator, 32)
+
+func init() {
+	// TODO(beorn7): Code generation would help here.
+	pickDelegator[0] = func(d *responseWriterDelegator) delegator { // 0
+		return d
+	}
+	pickDelegator[closeNotifier] = func(d *responseWriterDelegator) delegator { // 1
+		return closeNotifierDelegator{d}
+	}
+	pickDelegator[flusher] = func(d *responseWriterDelegator) delegator { // 2
+		return flusherDelegator{d}
+	}
+	pickDelegator[flusher+closeNotifier] = func(d *responseWriterDelegator) delegator { // 3
+		return struct {
+			*responseWriterDelegator
+			http.Flusher
+			http.CloseNotifier
+		}{d, flusherDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[hijacker] = func(d *responseWriterDelegator) delegator { // 4
+		return hijackerDelegator{d}
+	}
+	pickDelegator[hijacker+closeNotifier] = func(d *responseWriterDelegator) delegator { // 5
+		return struct {
+			*responseWriterDelegator
+			http.Hijacker
+			http.CloseNotifier
+		}{d, hijackerDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[hijacker+flusher] = func(d *responseWriterDelegator) delegator { // 6
+		return struct {
+			*responseWriterDelegator
+			http.Hijacker
+			http.Flusher
+		}{d, hijackerDelegator{d}, flusherDelegator{d}}
+	}
+	pickDelegator[hijacker+flusher+closeNotifier] = func(d *responseWriterDelegator) delegator { // 7
+		return struct {
+			*responseWriterDelegator
+			http.Hijacker
+			http.Flusher
+			http.CloseNotifier
+		}{d, hijackerDelegator{d}, flusherDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[readerFrom] = func(d *responseWriterDelegator) delegator { // 8
+		return readerFromDelegator{d}
+	}
+	pickDelegator[readerFrom+closeNotifier] = func(d *responseWriterDelegator) delegator { // 9
+		return struct {
+			*responseWriterDelegator
+			io.ReaderFrom
+			http.CloseNotifier
+		}{d, readerFromDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[readerFrom+flusher] = func(d *responseWriterDelegator) delegator { // 10
+		return struct {
+			*responseWriterDelegator
+			io.ReaderFrom
+			http.Flusher
+		}{d, readerFromDelegator{d}, flusherDelegator{d}}
+	}
+	pickDelegator[readerFrom+flusher+closeNotifier] = func(d *responseWriterDelegator) delegator { // 11
+		return struct {
+			*responseWriterDelegator
+			io.ReaderFrom
+			http.Flusher
+			http.CloseNotifier
+		}{d, readerFromDelegator{d}, flusherDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[readerFrom+hijacker] = func(d *responseWriterDelegator) delegator { // 12
+		return struct {
+			*responseWriterDelegator
+			io.ReaderFrom
+			http.Hijacker
+		}{d, readerFromDelegator{d}, hijackerDelegator{d}}
+	}
+	pickDelegator[readerFrom+hijacker+closeNotifier] = func(d *responseWriterDelegator) delegator { // 13
+		return struct {
+			*responseWriterDelegator
+			io.ReaderFrom
+			http.Hijacker
+			http.CloseNotifier
+		}{d, readerFromDelegator{d}, hijackerDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[readerFrom+hijacker+flusher] = func(d *responseWriterDelegator) delegator { // 14
+		return struct {
+			*responseWriterDelegator
+			io.ReaderFrom
+			http.Hijacker
+			http.Flusher
+		}{d, readerFromDelegator{d}, hijackerDelegator{d}, flusherDelegator{d}}
+	}
+	pickDelegator[readerFrom+hijacker+flusher+closeNotifier] = func(d *responseWriterDelegator) delegator { // 15
+		return struct {
+			*responseWriterDelegator
+			io.ReaderFrom
+			http.Hijacker
+			http.Flusher
+			http.CloseNotifier
+		}{d, readerFromDelegator{d}, hijackerDelegator{d}, flusherDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[pusher] = func(d *responseWriterDelegator) delegator { // 16
+		return pusherDelegator{d}
+	}
+	pickDelegator[pusher+closeNotifier] = func(d *responseWriterDelegator) delegator { // 17
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			http.CloseNotifier
+		}{d, pusherDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[pusher+flusher] = func(d *responseWriterDelegator) delegator { // 18
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			http.Flusher
+		}{d, pusherDelegator{d}, flusherDelegator{d}}
+	}
+	pickDelegator[pusher+flusher+closeNotifier] = func(d *responseWriterDelegator) delegator { // 19
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			http.Flusher
+			http.CloseNotifier
+		}{d, pusherDelegator{d}, flusherDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[pusher+hijacker] = func(d *responseWriterDelegator) delegator { // 20
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			http.Hijacker
+		}{d, pusherDelegator{d}, hijackerDelegator{d}}
+	}
+	pickDelegator[pusher+hijacker+closeNotifier] = func(d *responseWriterDelegator) delegator { // 21
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			http.Hijacker
+			http.CloseNotifier
+		}{d, pusherDelegator{d}, hijackerDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[pusher+hijacker+flusher] = func(d *responseWriterDelegator) delegator { // 22
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			http.Hijacker
+			http.Flusher
+		}{d, pusherDelegator{d}, hijackerDelegator{d}, flusherDelegator{d}}
+	}
+	pickDelegator[pusher+hijacker+flusher+closeNotifier] = func(d *responseWriterDelegator) delegator { // 23
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			http.Hijacker
+			http.Flusher
+			http.CloseNotifier
+		}{d, pusherDelegator{d}, hijackerDelegator{d}, flusherDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[pusher+readerFrom] = func(d *responseWriterDelegator) delegator { // 24
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			io.ReaderFrom
+		}{d, pusherDelegator{d}, readerFromDelegator{d}}
+	}
+	pickDelegator[pusher+readerFrom+closeNotifier] = func(d *responseWriterDelegator) delegator { // 25
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			io.ReaderFrom
+			http.CloseNotifier
+		}{d, pusherDelegator{d}, readerFromDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[pusher+readerFrom+flusher] = func(d *responseWriterDelegator) delegator { // 26
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			io.ReaderFrom
+			http.Flusher
+		}{d, pusherDelegator{d}, readerFromDelegator{d}, flusherDelegator{d}}
+	}
+	pickDelegator[pusher+readerFrom+flusher+closeNotifier] = func(d *responseWriterDelegator) delegator { // 27
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			io.ReaderFrom
+			http.Flusher
+			http.CloseNotifier
+		}{d, pusherDelegator{d}, readerFromDelegator{d}, flusherDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[pusher+readerFrom+hijacker] = func(d *responseWriterDelegator) delegator { // 28
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			io.ReaderFrom
+			http.Hijacker
+		}{d, pusherDelegator{d}, readerFromDelegator{d}, hijackerDelegator{d}}
+	}
+	pickDelegator[pusher+readerFrom+hijacker+closeNotifier] = func(d *responseWriterDelegator) delegator { // 29
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			io.ReaderFrom
+			http.Hijacker
+			http.CloseNotifier
+		}{d, pusherDelegator{d}, readerFromDelegator{d}, hijackerDelegator{d}, closeNotifierDelegator{d}}
+	}
+	pickDelegator[pusher+readerFrom+hijacker+flusher] = func(d *responseWriterDelegator) delegator { // 30
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			io.ReaderFrom
+			http.Hijacker
+			http.Flusher
+		}{d, pusherDelegator{d}, readerFromDelegator{d}, hijackerDelegator{d}, flusherDelegator{d}}
+	}
+	pickDelegator[pusher+readerFrom+hijacker+flusher+closeNotifier] = func(d *responseWriterDelegator) delegator { // 31
+		return struct {
+			*responseWriterDelegator
+			http.Pusher
+			io.ReaderFrom
+			http.Hijacker
+			http.Flusher
+			http.CloseNotifier
+		}{d, pusherDelegator{d}, readerFromDelegator{d}, hijackerDelegator{d}, flusherDelegator{d}, closeNotifierDelegator{d}}
+	}
+}
+
+func newDelegator(w http.ResponseWriter, observeWriteHeaderFunc func(int)) delegator {
+	d := &responseWriterDelegator{
+		ResponseWriter:     w,
+		observeWriteHeader: observeWriteHeaderFunc,
+	}
+
+	id := 0
+	//nolint:staticcheck // Ignore SA1019. http.CloseNotifier is deprecated but we keep it here to not break existing users.
+	if _, ok := w.(http.CloseNotifier); ok {
+		id += closeNotifier
+	}
+	if _, ok := w.(http.Flusher); ok {
+		id += flusher
+	}
+	if _, ok := w.(http.Hijacker); ok {
+		id += hijacker
+	}
+	if _, ok := w.(io.ReaderFrom); ok {
+		id += readerFrom
+	}
+	if _, ok := w.(http.Pusher); ok {
+		id += pusher
+	}
+
+	return pickDelegator[id](d)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/promhttp/http.go b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/http.go
new file mode 100644
index 000000000..09b8d2fbe
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/http.go
@@ -0,0 +1,408 @@
+// Copyright 2016 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+// Package promhttp provides tooling around HTTP servers and clients.
+//
+// First, the package allows the creation of http.Handler instances to expose
+// Prometheus metrics via HTTP. promhttp.Handler acts on the
+// prometheus.DefaultGatherer. With HandlerFor, you can create a handler for a
+// custom registry or anything that implements the Gatherer interface. It also
+// allows the creation of handlers that act differently on errors or allow to
+// log errors.
+//
+// Second, the package provides tooling to instrument instances of http.Handler
+// via middleware. Middleware wrappers follow the naming scheme
+// InstrumentHandlerX, where X describes the intended use of the middleware.
+// See each function's doc comment for specific details.
+//
+// Finally, the package allows for an http.RoundTripper to be instrumented via
+// middleware. Middleware wrappers follow the naming scheme
+// InstrumentRoundTripperX, where X describes the intended use of the
+// middleware. See each function's doc comment for specific details.
+package promhttp
+
+import (
+	"compress/gzip"
+	"errors"
+	"fmt"
+	"io"
+	"net/http"
+	"strconv"
+	"strings"
+	"sync"
+	"time"
+
+	"github.com/prometheus/common/expfmt"
+
+	"github.com/prometheus/client_golang/prometheus"
+)
+
+const (
+	contentTypeHeader      = "Content-Type"
+	contentEncodingHeader  = "Content-Encoding"
+	acceptEncodingHeader   = "Accept-Encoding"
+	processStartTimeHeader = "Process-Start-Time-Unix"
+)
+
+var gzipPool = sync.Pool{
+	New: func() interface{} {
+		return gzip.NewWriter(nil)
+	},
+}
+
+// Handler returns an http.Handler for the prometheus.DefaultGatherer, using
+// default HandlerOpts, i.e. it reports the first error as an HTTP error, it has
+// no error logging, and it applies compression if requested by the client.
+//
+// The returned http.Handler is already instrumented using the
+// InstrumentMetricHandler function and the prometheus.DefaultRegisterer. If you
+// create multiple http.Handlers by separate calls of the Handler function, the
+// metrics used for instrumentation will be shared between them, providing
+// global scrape counts.
+//
+// This function is meant to cover the bulk of basic use cases. If you are doing
+// anything that requires more customization (including using a non-default
+// Gatherer, different instrumentation, and non-default HandlerOpts), use the
+// HandlerFor function. See there for details.
+func Handler() http.Handler {
+	return InstrumentMetricHandler(
+		prometheus.DefaultRegisterer, HandlerFor(prometheus.DefaultGatherer, HandlerOpts{}),
+	)
+}
+
+// HandlerFor returns an uninstrumented http.Handler for the provided
+// Gatherer. The behavior of the Handler is defined by the provided
+// HandlerOpts. Thus, HandlerFor is useful to create http.Handlers for custom
+// Gatherers, with non-default HandlerOpts, and/or with custom (or no)
+// instrumentation. Use the InstrumentMetricHandler function to apply the same
+// kind of instrumentation as it is used by the Handler function.
+func HandlerFor(reg prometheus.Gatherer, opts HandlerOpts) http.Handler {
+	return HandlerForTransactional(prometheus.ToTransactionalGatherer(reg), opts)
+}
+
+// HandlerForTransactional is like HandlerFor, but it uses transactional gather, which
+// can safely change in-place returned *dto.MetricFamily before call to `Gather` and after
+// call to `done` of that `Gather`.
+func HandlerForTransactional(reg prometheus.TransactionalGatherer, opts HandlerOpts) http.Handler {
+	var (
+		inFlightSem chan struct{}
+		errCnt      = prometheus.NewCounterVec(
+			prometheus.CounterOpts{
+				Name: "promhttp_metric_handler_errors_total",
+				Help: "Total number of internal errors encountered by the promhttp metric handler.",
+			},
+			[]string{"cause"},
+		)
+	)
+
+	if opts.MaxRequestsInFlight > 0 {
+		inFlightSem = make(chan struct{}, opts.MaxRequestsInFlight)
+	}
+	if opts.Registry != nil {
+		// Initialize all possibilities that can occur below.
+		errCnt.WithLabelValues("gathering")
+		errCnt.WithLabelValues("encoding")
+		if err := opts.Registry.Register(errCnt); err != nil {
+			are := &prometheus.AlreadyRegisteredError{}
+			if errors.As(err, are) {
+				errCnt = are.ExistingCollector.(*prometheus.CounterVec)
+			} else {
+				panic(err)
+			}
+		}
+	}
+
+	h := http.HandlerFunc(func(rsp http.ResponseWriter, req *http.Request) {
+		if !opts.ProcessStartTime.IsZero() {
+			rsp.Header().Set(processStartTimeHeader, strconv.FormatInt(opts.ProcessStartTime.Unix(), 10))
+		}
+		if inFlightSem != nil {
+			select {
+			case inFlightSem <- struct{}{}: // All good, carry on.
+				defer func() { <-inFlightSem }()
+			default:
+				http.Error(rsp, fmt.Sprintf(
+					"Limit of concurrent requests reached (%d), try again later.", opts.MaxRequestsInFlight,
+				), http.StatusServiceUnavailable)
+				return
+			}
+		}
+		mfs, done, err := reg.Gather()
+		defer done()
+		if err != nil {
+			if opts.ErrorLog != nil {
+				opts.ErrorLog.Println("error gathering metrics:", err)
+			}
+			errCnt.WithLabelValues("gathering").Inc()
+			switch opts.ErrorHandling {
+			case PanicOnError:
+				panic(err)
+			case ContinueOnError:
+				if len(mfs) == 0 {
+					// Still report the error if no metrics have been gathered.
+					httpError(rsp, err)
+					return
+				}
+			case HTTPErrorOnError:
+				httpError(rsp, err)
+				return
+			}
+		}
+
+		var contentType expfmt.Format
+		if opts.EnableOpenMetrics {
+			contentType = expfmt.NegotiateIncludingOpenMetrics(req.Header)
+		} else {
+			contentType = expfmt.Negotiate(req.Header)
+		}
+		header := rsp.Header()
+		header.Set(contentTypeHeader, string(contentType))
+
+		w := io.Writer(rsp)
+		if !opts.DisableCompression && gzipAccepted(req.Header) {
+			header.Set(contentEncodingHeader, "gzip")
+			gz := gzipPool.Get().(*gzip.Writer)
+			defer gzipPool.Put(gz)
+
+			gz.Reset(w)
+			defer gz.Close()
+
+			w = gz
+		}
+
+		enc := expfmt.NewEncoder(w, contentType)
+
+		// handleError handles the error according to opts.ErrorHandling
+		// and returns true if we have to abort after the handling.
+		handleError := func(err error) bool {
+			if err == nil {
+				return false
+			}
+			if opts.ErrorLog != nil {
+				opts.ErrorLog.Println("error encoding and sending metric family:", err)
+			}
+			errCnt.WithLabelValues("encoding").Inc()
+			switch opts.ErrorHandling {
+			case PanicOnError:
+				panic(err)
+			case HTTPErrorOnError:
+				// We cannot really send an HTTP error at this
+				// point because we most likely have written
+				// something to rsp already. But at least we can
+				// stop sending.
+				return true
+			}
+			// Do nothing in all other cases, including ContinueOnError.
+			return false
+		}
+
+		for _, mf := range mfs {
+			if handleError(enc.Encode(mf)) {
+				return
+			}
+		}
+		if closer, ok := enc.(expfmt.Closer); ok {
+			// This in particular takes care of the final "# EOF\n" line for OpenMetrics.
+			if handleError(closer.Close()) {
+				return
+			}
+		}
+	})
+
+	if opts.Timeout <= 0 {
+		return h
+	}
+	return http.TimeoutHandler(h, opts.Timeout, fmt.Sprintf(
+		"Exceeded configured timeout of %v.\n",
+		opts.Timeout,
+	))
+}
+
+// InstrumentMetricHandler is usually used with an http.Handler returned by the
+// HandlerFor function. It instruments the provided http.Handler with two
+// metrics: A counter vector "promhttp_metric_handler_requests_total" to count
+// scrapes partitioned by HTTP status code, and a gauge
+// "promhttp_metric_handler_requests_in_flight" to track the number of
+// simultaneous scrapes. This function idempotently registers collectors for
+// both metrics with the provided Registerer. It panics if the registration
+// fails. The provided metrics are useful to see how many scrapes hit the
+// monitored target (which could be from different Prometheus servers or other
+// scrapers), and how often they overlap (which would result in more than one
+// scrape in flight at the same time). Note that the scrapes-in-flight gauge
+// will contain the scrape by which it is exposed, while the scrape counter will
+// only get incremented after the scrape is complete (as only then the status
+// code is known). For tracking scrape durations, use the
+// "scrape_duration_seconds" gauge created by the Prometheus server upon each
+// scrape.
+func InstrumentMetricHandler(reg prometheus.Registerer, handler http.Handler) http.Handler {
+	cnt := prometheus.NewCounterVec(
+		prometheus.CounterOpts{
+			Name: "promhttp_metric_handler_requests_total",
+			Help: "Total number of scrapes by HTTP status code.",
+		},
+		[]string{"code"},
+	)
+	// Initialize the most likely HTTP status codes.
+	cnt.WithLabelValues("200")
+	cnt.WithLabelValues("500")
+	cnt.WithLabelValues("503")
+	if err := reg.Register(cnt); err != nil {
+		are := &prometheus.AlreadyRegisteredError{}
+		if errors.As(err, are) {
+			cnt = are.ExistingCollector.(*prometheus.CounterVec)
+		} else {
+			panic(err)
+		}
+	}
+
+	gge := prometheus.NewGauge(prometheus.GaugeOpts{
+		Name: "promhttp_metric_handler_requests_in_flight",
+		Help: "Current number of scrapes being served.",
+	})
+	if err := reg.Register(gge); err != nil {
+		are := &prometheus.AlreadyRegisteredError{}
+		if errors.As(err, are) {
+			gge = are.ExistingCollector.(prometheus.Gauge)
+		} else {
+			panic(err)
+		}
+	}
+
+	return InstrumentHandlerCounter(cnt, InstrumentHandlerInFlight(gge, handler))
+}
+
+// HandlerErrorHandling defines how a Handler serving metrics will handle
+// errors.
+type HandlerErrorHandling int
+
+// These constants cause handlers serving metrics to behave as described if
+// errors are encountered.
+const (
+	// Serve an HTTP status code 500 upon the first error
+	// encountered. Report the error message in the body. Note that HTTP
+	// errors cannot be served anymore once the beginning of a regular
+	// payload has been sent. Thus, in the (unlikely) case that encoding the
+	// payload into the negotiated wire format fails, serving the response
+	// will simply be aborted. Set an ErrorLog in HandlerOpts to detect
+	// those errors.
+	HTTPErrorOnError HandlerErrorHandling = iota
+	// Ignore errors and try to serve as many metrics as possible.  However,
+	// if no metrics can be served, serve an HTTP status code 500 and the
+	// last error message in the body. Only use this in deliberate "best
+	// effort" metrics collection scenarios. In this case, it is highly
+	// recommended to provide other means of detecting errors: By setting an
+	// ErrorLog in HandlerOpts, the errors are logged. By providing a
+	// Registry in HandlerOpts, the exposed metrics include an error counter
+	// "promhttp_metric_handler_errors_total", which can be used for
+	// alerts.
+	ContinueOnError
+	// Panic upon the first error encountered (useful for "crash only" apps).
+	PanicOnError
+)
+
+// Logger is the minimal interface HandlerOpts needs for logging. Note that
+// log.Logger from the standard library implements this interface, and it is
+// easy to implement by custom loggers, if they don't do so already anyway.
+type Logger interface {
+	Println(v ...interface{})
+}
+
+// HandlerOpts specifies options how to serve metrics via an http.Handler. The
+// zero value of HandlerOpts is a reasonable default.
+type HandlerOpts struct {
+	// ErrorLog specifies an optional Logger for errors collecting and
+	// serving metrics. If nil, errors are not logged at all. Note that the
+	// type of a reported error is often prometheus.MultiError, which
+	// formats into a multi-line error string. If you want to avoid the
+	// latter, create a Logger implementation that detects a
+	// prometheus.MultiError and formats the contained errors into one line.
+	ErrorLog Logger
+	// ErrorHandling defines how errors are handled. Note that errors are
+	// logged regardless of the configured ErrorHandling provided ErrorLog
+	// is not nil.
+	ErrorHandling HandlerErrorHandling
+	// If Registry is not nil, it is used to register a metric
+	// "promhttp_metric_handler_errors_total", partitioned by "cause". A
+	// failed registration causes a panic. Note that this error counter is
+	// different from the instrumentation you get from the various
+	// InstrumentHandler... helpers. It counts errors that don't necessarily
+	// result in a non-2xx HTTP status code. There are two typical cases:
+	// (1) Encoding errors that only happen after streaming of the HTTP body
+	// has already started (and the status code 200 has been sent). This
+	// should only happen with custom collectors. (2) Collection errors with
+	// no effect on the HTTP status code because ErrorHandling is set to
+	// ContinueOnError.
+	Registry prometheus.Registerer
+	// If DisableCompression is true, the handler will never compress the
+	// response, even if requested by the client.
+	DisableCompression bool
+	// The number of concurrent HTTP requests is limited to
+	// MaxRequestsInFlight. Additional requests are responded to with 503
+	// Service Unavailable and a suitable message in the body. If
+	// MaxRequestsInFlight is 0 or negative, no limit is applied.
+	MaxRequestsInFlight int
+	// If handling a request takes longer than Timeout, it is responded to
+	// with 503 ServiceUnavailable and a suitable Message. No timeout is
+	// applied if Timeout is 0 or negative. Note that with the current
+	// implementation, reaching the timeout simply ends the HTTP requests as
+	// described above (and even that only if sending of the body hasn't
+	// started yet), while the bulk work of gathering all the metrics keeps
+	// running in the background (with the eventual result to be thrown
+	// away). Until the implementation is improved, it is recommended to
+	// implement a separate timeout in potentially slow Collectors.
+	Timeout time.Duration
+	// If true, the experimental OpenMetrics encoding is added to the
+	// possible options during content negotiation. Note that Prometheus
+	// 2.5.0+ will negotiate OpenMetrics as first priority. OpenMetrics is
+	// the only way to transmit exemplars. However, the move to OpenMetrics
+	// is not completely transparent. Most notably, the values of "quantile"
+	// labels of Summaries and "le" labels of Histograms are formatted with
+	// a trailing ".0" if they would otherwise look like integer numbers
+	// (which changes the identity of the resulting series on the Prometheus
+	// server).
+	EnableOpenMetrics bool
+	// ProcessStartTime allows setting process start timevalue that will be exposed
+	// with "Process-Start-Time-Unix" response header along with the metrics
+	// payload. This allow callers to have efficient transformations to cumulative
+	// counters (e.g. OpenTelemetry) or generally _created timestamp estimation per
+	// scrape target.
+	// NOTE: This feature is experimental and not covered by OpenMetrics or Prometheus
+	// exposition format.
+	ProcessStartTime time.Time
+}
+
+// gzipAccepted returns whether the client will accept gzip-encoded content.
+func gzipAccepted(header http.Header) bool {
+	a := header.Get(acceptEncodingHeader)
+	parts := strings.Split(a, ",")
+	for _, part := range parts {
+		part = strings.TrimSpace(part)
+		if part == "gzip" || strings.HasPrefix(part, "gzip;") {
+			return true
+		}
+	}
+	return false
+}
+
+// httpError removes any content-encoding header and then calls http.Error with
+// the provided error and http.StatusInternalServerError. Error contents is
+// supposed to be uncompressed plain text. Same as with a plain http.Error, this
+// must not be called if the header or any payload has already been sent.
+func httpError(rsp http.ResponseWriter, err error) {
+	rsp.Header().Del(contentEncodingHeader)
+	http.Error(
+		rsp,
+		"An error has occurred while serving metrics:\n\n"+err.Error(),
+		http.StatusInternalServerError,
+	)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_client.go b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_client.go
new file mode 100644
index 000000000..d3482c40c
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_client.go
@@ -0,0 +1,249 @@
+// Copyright 2017 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package promhttp
+
+import (
+	"crypto/tls"
+	"net/http"
+	"net/http/httptrace"
+	"time"
+
+	"github.com/prometheus/client_golang/prometheus"
+)
+
+// The RoundTripperFunc type is an adapter to allow the use of ordinary
+// functions as RoundTrippers. If f is a function with the appropriate
+// signature, RountTripperFunc(f) is a RoundTripper that calls f.
+type RoundTripperFunc func(req *http.Request) (*http.Response, error)
+
+// RoundTrip implements the RoundTripper interface.
+func (rt RoundTripperFunc) RoundTrip(r *http.Request) (*http.Response, error) {
+	return rt(r)
+}
+
+// InstrumentRoundTripperInFlight is a middleware that wraps the provided
+// http.RoundTripper. It sets the provided prometheus.Gauge to the number of
+// requests currently handled by the wrapped http.RoundTripper.
+//
+// See the example for ExampleInstrumentRoundTripperDuration for example usage.
+func InstrumentRoundTripperInFlight(gauge prometheus.Gauge, next http.RoundTripper) RoundTripperFunc {
+	return func(r *http.Request) (*http.Response, error) {
+		gauge.Inc()
+		defer gauge.Dec()
+		return next.RoundTrip(r)
+	}
+}
+
+// InstrumentRoundTripperCounter is a middleware that wraps the provided
+// http.RoundTripper to observe the request result with the provided CounterVec.
+// The CounterVec must have zero, one, or two non-const non-curried labels. For
+// those, the only allowed label names are "code" and "method". The function
+// panics otherwise. For the "method" label a predefined default label value set
+// is used to filter given values. Values besides predefined values will count
+// as `unknown` method.`WithExtraMethods` can be used to add more
+// methods to the set. Partitioning of the CounterVec happens by HTTP status code
+// and/or HTTP method if the respective instance label names are present in the
+// CounterVec. For unpartitioned counting, use a CounterVec with zero labels.
+//
+// If the wrapped RoundTripper panics or returns a non-nil error, the Counter
+// is not incremented.
+//
+// Use with WithExemplarFromContext to instrument the exemplars on the counter of requests.
+//
+// See the example for ExampleInstrumentRoundTripperDuration for example usage.
+func InstrumentRoundTripperCounter(counter *prometheus.CounterVec, next http.RoundTripper, opts ...Option) RoundTripperFunc {
+	rtOpts := defaultOptions()
+	for _, o := range opts {
+		o.apply(rtOpts)
+	}
+
+	// Curry the counter with dynamic labels before checking the remaining labels.
+	code, method := checkLabels(counter.MustCurryWith(rtOpts.emptyDynamicLabels()))
+
+	return func(r *http.Request) (*http.Response, error) {
+		resp, err := next.RoundTrip(r)
+		if err == nil {
+			l := labels(code, method, r.Method, resp.StatusCode, rtOpts.extraMethods...)
+			for label, resolve := range rtOpts.extraLabelsFromCtx {
+				l[label] = resolve(resp.Request.Context())
+			}
+			addWithExemplar(counter.With(l), 1, rtOpts.getExemplarFn(r.Context()))
+		}
+		return resp, err
+	}
+}
+
+// InstrumentRoundTripperDuration is a middleware that wraps the provided
+// http.RoundTripper to observe the request duration with the provided
+// ObserverVec.  The ObserverVec must have zero, one, or two non-const
+// non-curried labels. For those, the only allowed label names are "code" and
+// "method". The function panics otherwise. For the "method" label a predefined
+// default label value set is used to filter given values. Values besides
+// predefined values will count as `unknown` method. `WithExtraMethods`
+// can be used to add more methods to the set. The Observe method of the Observer
+// in the ObserverVec is called with the request duration in
+// seconds. Partitioning happens by HTTP status code and/or HTTP method if the
+// respective instance label names are present in the ObserverVec. For
+// unpartitioned observations, use an ObserverVec with zero labels. Note that
+// partitioning of Histograms is expensive and should be used judiciously.
+//
+// If the wrapped RoundTripper panics or returns a non-nil error, no values are
+// reported.
+//
+// Use with WithExemplarFromContext to instrument the exemplars on the duration histograms.
+//
+// Note that this method is only guaranteed to never observe negative durations
+// if used with Go1.9+.
+func InstrumentRoundTripperDuration(obs prometheus.ObserverVec, next http.RoundTripper, opts ...Option) RoundTripperFunc {
+	rtOpts := defaultOptions()
+	for _, o := range opts {
+		o.apply(rtOpts)
+	}
+
+	// Curry the observer with dynamic labels before checking the remaining labels.
+	code, method := checkLabels(obs.MustCurryWith(rtOpts.emptyDynamicLabels()))
+
+	return func(r *http.Request) (*http.Response, error) {
+		start := time.Now()
+		resp, err := next.RoundTrip(r)
+		if err == nil {
+			l := labels(code, method, r.Method, resp.StatusCode, rtOpts.extraMethods...)
+			for label, resolve := range rtOpts.extraLabelsFromCtx {
+				l[label] = resolve(resp.Request.Context())
+			}
+			observeWithExemplar(obs.With(l), time.Since(start).Seconds(), rtOpts.getExemplarFn(r.Context()))
+		}
+		return resp, err
+	}
+}
+
+// InstrumentTrace is used to offer flexibility in instrumenting the available
+// httptrace.ClientTrace hook functions. Each function is passed a float64
+// representing the time in seconds since the start of the http request. A user
+// may choose to use separately buckets Histograms, or implement custom
+// instance labels on a per function basis.
+type InstrumentTrace struct {
+	GotConn              func(float64)
+	PutIdleConn          func(float64)
+	GotFirstResponseByte func(float64)
+	Got100Continue       func(float64)
+	DNSStart             func(float64)
+	DNSDone              func(float64)
+	ConnectStart         func(float64)
+	ConnectDone          func(float64)
+	TLSHandshakeStart    func(float64)
+	TLSHandshakeDone     func(float64)
+	WroteHeaders         func(float64)
+	Wait100Continue      func(float64)
+	WroteRequest         func(float64)
+}
+
+// InstrumentRoundTripperTrace is a middleware that wraps the provided
+// RoundTripper and reports times to hook functions provided in the
+// InstrumentTrace struct. Hook functions that are not present in the provided
+// InstrumentTrace struct are ignored. Times reported to the hook functions are
+// time since the start of the request. Only with Go1.9+, those times are
+// guaranteed to never be negative. (Earlier Go versions are not using a
+// monotonic clock.) Note that partitioning of Histograms is expensive and
+// should be used judiciously.
+//
+// For hook functions that receive an error as an argument, no observations are
+// made in the event of a non-nil error value.
+//
+// See the example for ExampleInstrumentRoundTripperDuration for example usage.
+func InstrumentRoundTripperTrace(it *InstrumentTrace, next http.RoundTripper) RoundTripperFunc {
+	return func(r *http.Request) (*http.Response, error) {
+		start := time.Now()
+
+		trace := &httptrace.ClientTrace{
+			GotConn: func(_ httptrace.GotConnInfo) {
+				if it.GotConn != nil {
+					it.GotConn(time.Since(start).Seconds())
+				}
+			},
+			PutIdleConn: func(err error) {
+				if err != nil {
+					return
+				}
+				if it.PutIdleConn != nil {
+					it.PutIdleConn(time.Since(start).Seconds())
+				}
+			},
+			DNSStart: func(_ httptrace.DNSStartInfo) {
+				if it.DNSStart != nil {
+					it.DNSStart(time.Since(start).Seconds())
+				}
+			},
+			DNSDone: func(_ httptrace.DNSDoneInfo) {
+				if it.DNSDone != nil {
+					it.DNSDone(time.Since(start).Seconds())
+				}
+			},
+			ConnectStart: func(_, _ string) {
+				if it.ConnectStart != nil {
+					it.ConnectStart(time.Since(start).Seconds())
+				}
+			},
+			ConnectDone: func(_, _ string, err error) {
+				if err != nil {
+					return
+				}
+				if it.ConnectDone != nil {
+					it.ConnectDone(time.Since(start).Seconds())
+				}
+			},
+			GotFirstResponseByte: func() {
+				if it.GotFirstResponseByte != nil {
+					it.GotFirstResponseByte(time.Since(start).Seconds())
+				}
+			},
+			Got100Continue: func() {
+				if it.Got100Continue != nil {
+					it.Got100Continue(time.Since(start).Seconds())
+				}
+			},
+			TLSHandshakeStart: func() {
+				if it.TLSHandshakeStart != nil {
+					it.TLSHandshakeStart(time.Since(start).Seconds())
+				}
+			},
+			TLSHandshakeDone: func(_ tls.ConnectionState, err error) {
+				if err != nil {
+					return
+				}
+				if it.TLSHandshakeDone != nil {
+					it.TLSHandshakeDone(time.Since(start).Seconds())
+				}
+			},
+			WroteHeaders: func() {
+				if it.WroteHeaders != nil {
+					it.WroteHeaders(time.Since(start).Seconds())
+				}
+			},
+			Wait100Continue: func() {
+				if it.Wait100Continue != nil {
+					it.Wait100Continue(time.Since(start).Seconds())
+				}
+			},
+			WroteRequest: func(_ httptrace.WroteRequestInfo) {
+				if it.WroteRequest != nil {
+					it.WroteRequest(time.Since(start).Seconds())
+				}
+			},
+		}
+		r = r.WithContext(httptrace.WithClientTrace(r.Context(), trace))
+
+		return next.RoundTrip(r)
+	}
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_server.go b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_server.go
new file mode 100644
index 000000000..356edb786
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/instrument_server.go
@@ -0,0 +1,576 @@
+// Copyright 2017 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package promhttp
+
+import (
+	"errors"
+	"net/http"
+	"strconv"
+	"strings"
+	"time"
+
+	dto "github.com/prometheus/client_model/go"
+
+	"github.com/prometheus/client_golang/prometheus"
+)
+
+// magicString is used for the hacky label test in checkLabels. Remove once fixed.
+const magicString = "zZgWfBxLqvG8kc8IMv3POi2Bb0tZI3vAnBx+gBaFi9FyPzB/CzKUer1yufDa"
+
+// observeWithExemplar is a wrapper for [prometheus.ExemplarAdder.ExemplarObserver],
+// which falls back to [prometheus.Observer.Observe] if no labels are provided.
+func observeWithExemplar(obs prometheus.Observer, val float64, labels map[string]string) {
+	if labels == nil {
+		obs.Observe(val)
+		return
+	}
+	obs.(prometheus.ExemplarObserver).ObserveWithExemplar(val, labels)
+}
+
+// addWithExemplar is a wrapper for [prometheus.ExemplarAdder.AddWithExemplar],
+// which falls back to [prometheus.Counter.Add] if no labels are provided.
+func addWithExemplar(obs prometheus.Counter, val float64, labels map[string]string) {
+	if labels == nil {
+		obs.Add(val)
+		return
+	}
+	obs.(prometheus.ExemplarAdder).AddWithExemplar(val, labels)
+}
+
+// InstrumentHandlerInFlight is a middleware that wraps the provided
+// http.Handler. It sets the provided prometheus.Gauge to the number of
+// requests currently handled by the wrapped http.Handler.
+//
+// See the example for InstrumentHandlerDuration for example usage.
+func InstrumentHandlerInFlight(g prometheus.Gauge, next http.Handler) http.Handler {
+	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		g.Inc()
+		defer g.Dec()
+		next.ServeHTTP(w, r)
+	})
+}
+
+// InstrumentHandlerDuration is a middleware that wraps the provided
+// http.Handler to observe the request duration with the provided ObserverVec.
+// The ObserverVec must have valid metric and label names and must have zero,
+// one, or two non-const non-curried labels. For those, the only allowed label
+// names are "code" and "method". The function panics otherwise. For the "method"
+// label a predefined default label value set is used to filter given values.
+// Values besides predefined values will count as `unknown` method.
+// `WithExtraMethods` can be used to add more methods to the set. The Observe
+// method of the Observer in the ObserverVec is called with the request duration
+// in seconds. Partitioning happens by HTTP status code and/or HTTP method if
+// the respective instance label names are present in the ObserverVec. For
+// unpartitioned observations, use an ObserverVec with zero labels. Note that
+// partitioning of Histograms is expensive and should be used judiciously.
+//
+// If the wrapped Handler does not set a status code, a status code of 200 is assumed.
+//
+// If the wrapped Handler panics, no values are reported.
+//
+// Note that this method is only guaranteed to never observe negative durations
+// if used with Go1.9+.
+func InstrumentHandlerDuration(obs prometheus.ObserverVec, next http.Handler, opts ...Option) http.HandlerFunc {
+	hOpts := defaultOptions()
+	for _, o := range opts {
+		o.apply(hOpts)
+	}
+
+	// Curry the observer with dynamic labels before checking the remaining labels.
+	code, method := checkLabels(obs.MustCurryWith(hOpts.emptyDynamicLabels()))
+
+	if code {
+		return func(w http.ResponseWriter, r *http.Request) {
+			now := time.Now()
+			d := newDelegator(w, nil)
+			next.ServeHTTP(d, r)
+
+			l := labels(code, method, r.Method, d.Status(), hOpts.extraMethods...)
+			for label, resolve := range hOpts.extraLabelsFromCtx {
+				l[label] = resolve(r.Context())
+			}
+			observeWithExemplar(obs.With(l), time.Since(now).Seconds(), hOpts.getExemplarFn(r.Context()))
+		}
+	}
+
+	return func(w http.ResponseWriter, r *http.Request) {
+		now := time.Now()
+		next.ServeHTTP(w, r)
+		l := labels(code, method, r.Method, 0, hOpts.extraMethods...)
+		for label, resolve := range hOpts.extraLabelsFromCtx {
+			l[label] = resolve(r.Context())
+		}
+		observeWithExemplar(obs.With(l), time.Since(now).Seconds(), hOpts.getExemplarFn(r.Context()))
+	}
+}
+
+// InstrumentHandlerCounter is a middleware that wraps the provided http.Handler
+// to observe the request result with the provided CounterVec. The CounterVec
+// must have valid metric and label names and must have zero, one, or two
+// non-const non-curried labels. For those, the only allowed label names are
+// "code" and "method". The function panics otherwise. For the "method"
+// label a predefined default label value set is used to filter given values.
+// Values besides predefined values will count as `unknown` method.
+// `WithExtraMethods` can be used to add more methods to the set. Partitioning of the
+// CounterVec happens by HTTP status code and/or HTTP method if the respective
+// instance label names are present in the CounterVec. For unpartitioned
+// counting, use a CounterVec with zero labels.
+//
+// If the wrapped Handler does not set a status code, a status code of 200 is assumed.
+//
+// If the wrapped Handler panics, the Counter is not incremented.
+//
+// See the example for InstrumentHandlerDuration for example usage.
+func InstrumentHandlerCounter(counter *prometheus.CounterVec, next http.Handler, opts ...Option) http.HandlerFunc {
+	hOpts := defaultOptions()
+	for _, o := range opts {
+		o.apply(hOpts)
+	}
+
+	// Curry the counter with dynamic labels before checking the remaining labels.
+	code, method := checkLabels(counter.MustCurryWith(hOpts.emptyDynamicLabels()))
+
+	if code {
+		return func(w http.ResponseWriter, r *http.Request) {
+			d := newDelegator(w, nil)
+			next.ServeHTTP(d, r)
+
+			l := labels(code, method, r.Method, d.Status(), hOpts.extraMethods...)
+			for label, resolve := range hOpts.extraLabelsFromCtx {
+				l[label] = resolve(r.Context())
+			}
+			addWithExemplar(counter.With(l), 1, hOpts.getExemplarFn(r.Context()))
+		}
+	}
+
+	return func(w http.ResponseWriter, r *http.Request) {
+		next.ServeHTTP(w, r)
+
+		l := labels(code, method, r.Method, 0, hOpts.extraMethods...)
+		for label, resolve := range hOpts.extraLabelsFromCtx {
+			l[label] = resolve(r.Context())
+		}
+		addWithExemplar(counter.With(l), 1, hOpts.getExemplarFn(r.Context()))
+	}
+}
+
+// InstrumentHandlerTimeToWriteHeader is a middleware that wraps the provided
+// http.Handler to observe with the provided ObserverVec the request duration
+// until the response headers are written. The ObserverVec must have valid
+// metric and label names and must have zero, one, or two non-const non-curried
+// labels. For those, the only allowed label names are "code" and "method". The
+// function panics otherwise. For the "method" label a predefined default label
+// value set is used to filter given values. Values besides predefined values
+// will count as `unknown` method.`WithExtraMethods` can be used to add more
+// methods to the set. The Observe method of the Observer in the
+// ObserverVec is called with the request duration in seconds. Partitioning
+// happens by HTTP status code and/or HTTP method if the respective instance
+// label names are present in the ObserverVec. For unpartitioned observations,
+// use an ObserverVec with zero labels. Note that partitioning of Histograms is
+// expensive and should be used judiciously.
+//
+// If the wrapped Handler panics before calling WriteHeader, no value is
+// reported.
+//
+// Note that this method is only guaranteed to never observe negative durations
+// if used with Go1.9+.
+//
+// See the example for InstrumentHandlerDuration for example usage.
+func InstrumentHandlerTimeToWriteHeader(obs prometheus.ObserverVec, next http.Handler, opts ...Option) http.HandlerFunc {
+	hOpts := defaultOptions()
+	for _, o := range opts {
+		o.apply(hOpts)
+	}
+
+	// Curry the observer with dynamic labels before checking the remaining labels.
+	code, method := checkLabels(obs.MustCurryWith(hOpts.emptyDynamicLabels()))
+
+	return func(w http.ResponseWriter, r *http.Request) {
+		now := time.Now()
+		d := newDelegator(w, func(status int) {
+			l := labels(code, method, r.Method, status, hOpts.extraMethods...)
+			for label, resolve := range hOpts.extraLabelsFromCtx {
+				l[label] = resolve(r.Context())
+			}
+			observeWithExemplar(obs.With(l), time.Since(now).Seconds(), hOpts.getExemplarFn(r.Context()))
+		})
+		next.ServeHTTP(d, r)
+	}
+}
+
+// InstrumentHandlerRequestSize is a middleware that wraps the provided
+// http.Handler to observe the request size with the provided ObserverVec. The
+// ObserverVec must have valid metric and label names and must have zero, one,
+// or two non-const non-curried labels. For those, the only allowed label names
+// are "code" and "method". The function panics otherwise. For the "method"
+// label a predefined default label value set is used to filter given values.
+// Values besides predefined values will count as `unknown` method.
+// `WithExtraMethods` can be used to add more methods to the set. The Observe
+// method of the Observer in the ObserverVec is called with the request size in
+// bytes. Partitioning happens by HTTP status code and/or HTTP method if the
+// respective instance label names are present in the ObserverVec. For
+// unpartitioned observations, use an ObserverVec with zero labels. Note that
+// partitioning of Histograms is expensive and should be used judiciously.
+//
+// If the wrapped Handler does not set a status code, a status code of 200 is assumed.
+//
+// If the wrapped Handler panics, no values are reported.
+//
+// See the example for InstrumentHandlerDuration for example usage.
+func InstrumentHandlerRequestSize(obs prometheus.ObserverVec, next http.Handler, opts ...Option) http.HandlerFunc {
+	hOpts := defaultOptions()
+	for _, o := range opts {
+		o.apply(hOpts)
+	}
+
+	// Curry the observer with dynamic labels before checking the remaining labels.
+	code, method := checkLabels(obs.MustCurryWith(hOpts.emptyDynamicLabels()))
+
+	if code {
+		return func(w http.ResponseWriter, r *http.Request) {
+			d := newDelegator(w, nil)
+			next.ServeHTTP(d, r)
+			size := computeApproximateRequestSize(r)
+
+			l := labels(code, method, r.Method, d.Status(), hOpts.extraMethods...)
+			for label, resolve := range hOpts.extraLabelsFromCtx {
+				l[label] = resolve(r.Context())
+			}
+			observeWithExemplar(obs.With(l), float64(size), hOpts.getExemplarFn(r.Context()))
+		}
+	}
+
+	return func(w http.ResponseWriter, r *http.Request) {
+		next.ServeHTTP(w, r)
+		size := computeApproximateRequestSize(r)
+
+		l := labels(code, method, r.Method, 0, hOpts.extraMethods...)
+		for label, resolve := range hOpts.extraLabelsFromCtx {
+			l[label] = resolve(r.Context())
+		}
+		observeWithExemplar(obs.With(l), float64(size), hOpts.getExemplarFn(r.Context()))
+	}
+}
+
+// InstrumentHandlerResponseSize is a middleware that wraps the provided
+// http.Handler to observe the response size with the provided ObserverVec. The
+// ObserverVec must have valid metric and label names and must have zero, one,
+// or two non-const non-curried labels. For those, the only allowed label names
+// are "code" and "method". The function panics otherwise. For the "method"
+// label a predefined default label value set is used to filter given values.
+// Values besides predefined values will count as `unknown` method.
+// `WithExtraMethods` can be used to add more methods to the set. The Observe
+// method of the Observer in the ObserverVec is called with the response size in
+// bytes. Partitioning happens by HTTP status code and/or HTTP method if the
+// respective instance label names are present in the ObserverVec. For
+// unpartitioned observations, use an ObserverVec with zero labels. Note that
+// partitioning of Histograms is expensive and should be used judiciously.
+//
+// If the wrapped Handler does not set a status code, a status code of 200 is assumed.
+//
+// If the wrapped Handler panics, no values are reported.
+//
+// See the example for InstrumentHandlerDuration for example usage.
+func InstrumentHandlerResponseSize(obs prometheus.ObserverVec, next http.Handler, opts ...Option) http.Handler {
+	hOpts := defaultOptions()
+	for _, o := range opts {
+		o.apply(hOpts)
+	}
+
+	// Curry the observer with dynamic labels before checking the remaining labels.
+	code, method := checkLabels(obs.MustCurryWith(hOpts.emptyDynamicLabels()))
+
+	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		d := newDelegator(w, nil)
+		next.ServeHTTP(d, r)
+
+		l := labels(code, method, r.Method, d.Status(), hOpts.extraMethods...)
+		for label, resolve := range hOpts.extraLabelsFromCtx {
+			l[label] = resolve(r.Context())
+		}
+		observeWithExemplar(obs.With(l), float64(d.Written()), hOpts.getExemplarFn(r.Context()))
+	})
+}
+
+// checkLabels returns whether the provided Collector has a non-const,
+// non-curried label named "code" and/or "method". It panics if the provided
+// Collector does not have a Desc or has more than one Desc or its Desc is
+// invalid. It also panics if the Collector has any non-const, non-curried
+// labels that are not named "code" or "method".
+func checkLabels(c prometheus.Collector) (code, method bool) {
+	// TODO(beorn7): Remove this hacky way to check for instance labels
+	// once Descriptors can have their dimensionality queried.
+	var (
+		desc *prometheus.Desc
+		m    prometheus.Metric
+		pm   dto.Metric
+		lvs  []string
+	)
+
+	// Get the Desc from the Collector.
+	descc := make(chan *prometheus.Desc, 1)
+	c.Describe(descc)
+
+	select {
+	case desc = <-descc:
+	default:
+		panic("no description provided by collector")
+	}
+	select {
+	case <-descc:
+		panic("more than one description provided by collector")
+	default:
+	}
+
+	close(descc)
+
+	// Make sure the Collector has a valid Desc by registering it with a
+	// temporary registry.
+	prometheus.NewRegistry().MustRegister(c)
+
+	// Create a ConstMetric with the Desc. Since we don't know how many
+	// variable labels there are, try for as long as it needs.
+	for err := errors.New("dummy"); err != nil; lvs = append(lvs, magicString) {
+		m, err = prometheus.NewConstMetric(desc, prometheus.UntypedValue, 0, lvs...)
+	}
+
+	// Write out the metric into a proto message and look at the labels.
+	// If the value is not the magicString, it is a constLabel, which doesn't interest us.
+	// If the label is curried, it doesn't interest us.
+	// In all other cases, only "code" or "method" is allowed.
+	if err := m.Write(&pm); err != nil {
+		panic("error checking metric for labels")
+	}
+	for _, label := range pm.Label {
+		name, value := label.GetName(), label.GetValue()
+		if value != magicString || isLabelCurried(c, name) {
+			continue
+		}
+		switch name {
+		case "code":
+			code = true
+		case "method":
+			method = true
+		default:
+			panic("metric partitioned with non-supported labels")
+		}
+	}
+	return
+}
+
+func isLabelCurried(c prometheus.Collector, label string) bool {
+	// This is even hackier than the label test above.
+	// We essentially try to curry again and see if it works.
+	// But for that, we need to type-convert to the two
+	// types we use here, ObserverVec or *CounterVec.
+	switch v := c.(type) {
+	case *prometheus.CounterVec:
+		if _, err := v.CurryWith(prometheus.Labels{label: "dummy"}); err == nil {
+			return false
+		}
+	case prometheus.ObserverVec:
+		if _, err := v.CurryWith(prometheus.Labels{label: "dummy"}); err == nil {
+			return false
+		}
+	default:
+		panic("unsupported metric vec type")
+	}
+	return true
+}
+
+func labels(code, method bool, reqMethod string, status int, extraMethods ...string) prometheus.Labels {
+	labels := prometheus.Labels{}
+
+	if !(code || method) {
+		return labels
+	}
+
+	if code {
+		labels["code"] = sanitizeCode(status)
+	}
+	if method {
+		labels["method"] = sanitizeMethod(reqMethod, extraMethods...)
+	}
+
+	return labels
+}
+
+func computeApproximateRequestSize(r *http.Request) int {
+	s := 0
+	if r.URL != nil {
+		s += len(r.URL.String())
+	}
+
+	s += len(r.Method)
+	s += len(r.Proto)
+	for name, values := range r.Header {
+		s += len(name)
+		for _, value := range values {
+			s += len(value)
+		}
+	}
+	s += len(r.Host)
+
+	// N.B. r.Form and r.MultipartForm are assumed to be included in r.URL.
+
+	if r.ContentLength != -1 {
+		s += int(r.ContentLength)
+	}
+	return s
+}
+
+// If the wrapped http.Handler has a known method, it will be sanitized and returned.
+// Otherwise, "unknown" will be returned. The known method list can be extended
+// as needed by using extraMethods parameter.
+func sanitizeMethod(m string, extraMethods ...string) string {
+	// See https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods for
+	// the methods chosen as default.
+	switch m {
+	case "GET", "get":
+		return "get"
+	case "PUT", "put":
+		return "put"
+	case "HEAD", "head":
+		return "head"
+	case "POST", "post":
+		return "post"
+	case "DELETE", "delete":
+		return "delete"
+	case "CONNECT", "connect":
+		return "connect"
+	case "OPTIONS", "options":
+		return "options"
+	case "NOTIFY", "notify":
+		return "notify"
+	case "TRACE", "trace":
+		return "trace"
+	case "PATCH", "patch":
+		return "patch"
+	default:
+		for _, method := range extraMethods {
+			if strings.EqualFold(m, method) {
+				return strings.ToLower(m)
+			}
+		}
+		return "unknown"
+	}
+}
+
+// If the wrapped http.Handler has not set a status code, i.e. the value is
+// currently 0, sanitizeCode will return 200, for consistency with behavior in
+// the stdlib.
+func sanitizeCode(s int) string {
+	// See for accepted codes https://www.iana.org/assignments/http-status-codes/http-status-codes.xhtml
+	switch s {
+	case 100:
+		return "100"
+	case 101:
+		return "101"
+
+	case 200, 0:
+		return "200"
+	case 201:
+		return "201"
+	case 202:
+		return "202"
+	case 203:
+		return "203"
+	case 204:
+		return "204"
+	case 205:
+		return "205"
+	case 206:
+		return "206"
+
+	case 300:
+		return "300"
+	case 301:
+		return "301"
+	case 302:
+		return "302"
+	case 304:
+		return "304"
+	case 305:
+		return "305"
+	case 307:
+		return "307"
+
+	case 400:
+		return "400"
+	case 401:
+		return "401"
+	case 402:
+		return "402"
+	case 403:
+		return "403"
+	case 404:
+		return "404"
+	case 405:
+		return "405"
+	case 406:
+		return "406"
+	case 407:
+		return "407"
+	case 408:
+		return "408"
+	case 409:
+		return "409"
+	case 410:
+		return "410"
+	case 411:
+		return "411"
+	case 412:
+		return "412"
+	case 413:
+		return "413"
+	case 414:
+		return "414"
+	case 415:
+		return "415"
+	case 416:
+		return "416"
+	case 417:
+		return "417"
+	case 418:
+		return "418"
+
+	case 500:
+		return "500"
+	case 501:
+		return "501"
+	case 502:
+		return "502"
+	case 503:
+		return "503"
+	case 504:
+		return "504"
+	case 505:
+		return "505"
+
+	case 428:
+		return "428"
+	case 429:
+		return "429"
+	case 431:
+		return "431"
+	case 511:
+		return "511"
+
+	default:
+		if s >= 100 && s <= 599 {
+			return strconv.Itoa(s)
+		}
+		return "unknown"
+	}
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/promhttp/option.go b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/option.go
new file mode 100644
index 000000000..5d4383aa1
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/promhttp/option.go
@@ -0,0 +1,84 @@
+// Copyright 2022 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package promhttp
+
+import (
+	"context"
+
+	"github.com/prometheus/client_golang/prometheus"
+)
+
+// Option are used to configure both handler (middleware) or round tripper.
+type Option interface {
+	apply(*options)
+}
+
+// LabelValueFromCtx are used to compute the label value from request context.
+// Context can be filled with values from request through middleware.
+type LabelValueFromCtx func(ctx context.Context) string
+
+// options store options for both a handler or round tripper.
+type options struct {
+	extraMethods       []string
+	getExemplarFn      func(requestCtx context.Context) prometheus.Labels
+	extraLabelsFromCtx map[string]LabelValueFromCtx
+}
+
+func defaultOptions() *options {
+	return &options{
+		getExemplarFn:      func(ctx context.Context) prometheus.Labels { return nil },
+		extraLabelsFromCtx: map[string]LabelValueFromCtx{},
+	}
+}
+
+func (o *options) emptyDynamicLabels() prometheus.Labels {
+	labels := prometheus.Labels{}
+
+	for label := range o.extraLabelsFromCtx {
+		labels[label] = ""
+	}
+
+	return labels
+}
+
+type optionApplyFunc func(*options)
+
+func (o optionApplyFunc) apply(opt *options) { o(opt) }
+
+// WithExtraMethods adds additional HTTP methods to the list of allowed methods.
+// See https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods for the default list.
+//
+// See the example for ExampleInstrumentHandlerWithExtraMethods for example usage.
+func WithExtraMethods(methods ...string) Option {
+	return optionApplyFunc(func(o *options) {
+		o.extraMethods = methods
+	})
+}
+
+// WithExemplarFromContext allows to inject function that will get exemplar from context that will be put to counter and histogram metrics.
+// If the function returns nil labels or the metric does not support exemplars, no exemplar will be added (noop), but
+// metric will continue to observe/increment.
+func WithExemplarFromContext(getExemplarFn func(requestCtx context.Context) prometheus.Labels) Option {
+	return optionApplyFunc(func(o *options) {
+		o.getExemplarFn = getExemplarFn
+	})
+}
+
+// WithLabelFromCtx registers a label for dynamic resolution with access to context.
+// See the example for ExampleInstrumentHandlerWithLabelResolver for example usage
+func WithLabelFromCtx(name string, valueFn LabelValueFromCtx) Option {
+	return optionApplyFunc(func(o *options) {
+		o.extraLabelsFromCtx[name] = valueFn
+	})
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/registry.go b/vendor/github.com/prometheus/client_golang/prometheus/registry.go
new file mode 100644
index 000000000..5e2ced25a
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/registry.go
@@ -0,0 +1,1075 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"bytes"
+	"errors"
+	"fmt"
+	"os"
+	"path/filepath"
+	"runtime"
+	"sort"
+	"strconv"
+	"strings"
+	"sync"
+	"unicode/utf8"
+
+	"github.com/prometheus/client_golang/prometheus/internal"
+
+	"github.com/cespare/xxhash/v2"
+	dto "github.com/prometheus/client_model/go"
+	"github.com/prometheus/common/expfmt"
+	"google.golang.org/protobuf/proto"
+)
+
+const (
+	// Capacity for the channel to collect metrics and descriptors.
+	capMetricChan = 1000
+	capDescChan   = 10
+)
+
+// DefaultRegisterer and DefaultGatherer are the implementations of the
+// Registerer and Gatherer interface a number of convenience functions in this
+// package act on. Initially, both variables point to the same Registry, which
+// has a process collector (currently on Linux only, see NewProcessCollector)
+// and a Go collector (see NewGoCollector, in particular the note about
+// stop-the-world implication with Go versions older than 1.9) already
+// registered. This approach to keep default instances as global state mirrors
+// the approach of other packages in the Go standard library. Note that there
+// are caveats. Change the variables with caution and only if you understand the
+// consequences. Users who want to avoid global state altogether should not use
+// the convenience functions and act on custom instances instead.
+var (
+	defaultRegistry              = NewRegistry()
+	DefaultRegisterer Registerer = defaultRegistry
+	DefaultGatherer   Gatherer   = defaultRegistry
+)
+
+func init() {
+	MustRegister(NewProcessCollector(ProcessCollectorOpts{}))
+	MustRegister(NewGoCollector())
+}
+
+// NewRegistry creates a new vanilla Registry without any Collectors
+// pre-registered.
+func NewRegistry() *Registry {
+	return &Registry{
+		collectorsByID:  map[uint64]Collector{},
+		descIDs:         map[uint64]struct{}{},
+		dimHashesByName: map[string]uint64{},
+	}
+}
+
+// NewPedanticRegistry returns a registry that checks during collection if each
+// collected Metric is consistent with its reported Desc, and if the Desc has
+// actually been registered with the registry. Unchecked Collectors (those whose
+// Describe method does not yield any descriptors) are excluded from the check.
+//
+// Usually, a Registry will be happy as long as the union of all collected
+// Metrics is consistent and valid even if some metrics are not consistent with
+// their own Desc or a Desc provided by their registered Collector. Well-behaved
+// Collectors and Metrics will only provide consistent Descs. This Registry is
+// useful to test the implementation of Collectors and Metrics.
+func NewPedanticRegistry() *Registry {
+	r := NewRegistry()
+	r.pedanticChecksEnabled = true
+	return r
+}
+
+// Registerer is the interface for the part of a registry in charge of
+// registering and unregistering. Users of custom registries should use
+// Registerer as type for registration purposes (rather than the Registry type
+// directly). In that way, they are free to use custom Registerer implementation
+// (e.g. for testing purposes).
+type Registerer interface {
+	// Register registers a new Collector to be included in metrics
+	// collection. It returns an error if the descriptors provided by the
+	// Collector are invalid or if they — in combination with descriptors of
+	// already registered Collectors — do not fulfill the consistency and
+	// uniqueness criteria described in the documentation of metric.Desc.
+	//
+	// If the provided Collector is equal to a Collector already registered
+	// (which includes the case of re-registering the same Collector), the
+	// returned error is an instance of AlreadyRegisteredError, which
+	// contains the previously registered Collector.
+	//
+	// A Collector whose Describe method does not yield any Desc is treated
+	// as unchecked. Registration will always succeed. No check for
+	// re-registering (see previous paragraph) is performed. Thus, the
+	// caller is responsible for not double-registering the same unchecked
+	// Collector, and for providing a Collector that will not cause
+	// inconsistent metrics on collection. (This would lead to scrape
+	// errors.)
+	Register(Collector) error
+	// MustRegister works like Register but registers any number of
+	// Collectors and panics upon the first registration that causes an
+	// error.
+	MustRegister(...Collector)
+	// Unregister unregisters the Collector that equals the Collector passed
+	// in as an argument.  (Two Collectors are considered equal if their
+	// Describe method yields the same set of descriptors.) The function
+	// returns whether a Collector was unregistered. Note that an unchecked
+	// Collector cannot be unregistered (as its Describe method does not
+	// yield any descriptor).
+	//
+	// Note that even after unregistering, it will not be possible to
+	// register a new Collector that is inconsistent with the unregistered
+	// Collector, e.g. a Collector collecting metrics with the same name but
+	// a different help string. The rationale here is that the same registry
+	// instance must only collect consistent metrics throughout its
+	// lifetime.
+	Unregister(Collector) bool
+}
+
+// Gatherer is the interface for the part of a registry in charge of gathering
+// the collected metrics into a number of MetricFamilies. The Gatherer interface
+// comes with the same general implication as described for the Registerer
+// interface.
+type Gatherer interface {
+	// Gather calls the Collect method of the registered Collectors and then
+	// gathers the collected metrics into a lexicographically sorted slice
+	// of uniquely named MetricFamily protobufs. Gather ensures that the
+	// returned slice is valid and self-consistent so that it can be used
+	// for valid exposition. As an exception to the strict consistency
+	// requirements described for metric.Desc, Gather will tolerate
+	// different sets of label names for metrics of the same metric family.
+	//
+	// Even if an error occurs, Gather attempts to gather as many metrics as
+	// possible. Hence, if a non-nil error is returned, the returned
+	// MetricFamily slice could be nil (in case of a fatal error that
+	// prevented any meaningful metric collection) or contain a number of
+	// MetricFamily protobufs, some of which might be incomplete, and some
+	// might be missing altogether. The returned error (which might be a
+	// MultiError) explains the details. Note that this is mostly useful for
+	// debugging purposes. If the gathered protobufs are to be used for
+	// exposition in actual monitoring, it is almost always better to not
+	// expose an incomplete result and instead disregard the returned
+	// MetricFamily protobufs in case the returned error is non-nil.
+	Gather() ([]*dto.MetricFamily, error)
+}
+
+// Register registers the provided Collector with the DefaultRegisterer.
+//
+// Register is a shortcut for DefaultRegisterer.Register(c). See there for more
+// details.
+func Register(c Collector) error {
+	return DefaultRegisterer.Register(c)
+}
+
+// MustRegister registers the provided Collectors with the DefaultRegisterer and
+// panics if any error occurs.
+//
+// MustRegister is a shortcut for DefaultRegisterer.MustRegister(cs...). See
+// there for more details.
+func MustRegister(cs ...Collector) {
+	DefaultRegisterer.MustRegister(cs...)
+}
+
+// Unregister removes the registration of the provided Collector from the
+// DefaultRegisterer.
+//
+// Unregister is a shortcut for DefaultRegisterer.Unregister(c). See there for
+// more details.
+func Unregister(c Collector) bool {
+	return DefaultRegisterer.Unregister(c)
+}
+
+// GathererFunc turns a function into a Gatherer.
+type GathererFunc func() ([]*dto.MetricFamily, error)
+
+// Gather implements Gatherer.
+func (gf GathererFunc) Gather() ([]*dto.MetricFamily, error) {
+	return gf()
+}
+
+// AlreadyRegisteredError is returned by the Register method if the Collector to
+// be registered has already been registered before, or a different Collector
+// that collects the same metrics has been registered before. Registration fails
+// in that case, but you can detect from the kind of error what has
+// happened. The error contains fields for the existing Collector and the
+// (rejected) new Collector that equals the existing one. This can be used to
+// find out if an equal Collector has been registered before and switch over to
+// using the old one, as demonstrated in the example.
+type AlreadyRegisteredError struct {
+	ExistingCollector, NewCollector Collector
+}
+
+func (err AlreadyRegisteredError) Error() string {
+	return "duplicate metrics collector registration attempted"
+}
+
+// MultiError is a slice of errors implementing the error interface. It is used
+// by a Gatherer to report multiple errors during MetricFamily gathering.
+type MultiError []error
+
+// Error formats the contained errors as a bullet point list, preceded by the
+// total number of errors. Note that this results in a multi-line string.
+func (errs MultiError) Error() string {
+	if len(errs) == 0 {
+		return ""
+	}
+	buf := &bytes.Buffer{}
+	fmt.Fprintf(buf, "%d error(s) occurred:", len(errs))
+	for _, err := range errs {
+		fmt.Fprintf(buf, "\n* %s", err)
+	}
+	return buf.String()
+}
+
+// Append appends the provided error if it is not nil.
+func (errs *MultiError) Append(err error) {
+	if err != nil {
+		*errs = append(*errs, err)
+	}
+}
+
+// MaybeUnwrap returns nil if len(errs) is 0. It returns the first and only
+// contained error as error if len(errs is 1). In all other cases, it returns
+// the MultiError directly. This is helpful for returning a MultiError in a way
+// that only uses the MultiError if needed.
+func (errs MultiError) MaybeUnwrap() error {
+	switch len(errs) {
+	case 0:
+		return nil
+	case 1:
+		return errs[0]
+	default:
+		return errs
+	}
+}
+
+// Registry registers Prometheus collectors, collects their metrics, and gathers
+// them into MetricFamilies for exposition. It implements Registerer, Gatherer,
+// and Collector. The zero value is not usable. Create instances with
+// NewRegistry or NewPedanticRegistry.
+//
+// Registry implements Collector to allow it to be used for creating groups of
+// metrics. See the Grouping example for how this can be done.
+type Registry struct {
+	mtx                   sync.RWMutex
+	collectorsByID        map[uint64]Collector // ID is a hash of the descIDs.
+	descIDs               map[uint64]struct{}
+	dimHashesByName       map[string]uint64
+	uncheckedCollectors   []Collector
+	pedanticChecksEnabled bool
+}
+
+// Register implements Registerer.
+func (r *Registry) Register(c Collector) error {
+	var (
+		descChan           = make(chan *Desc, capDescChan)
+		newDescIDs         = map[uint64]struct{}{}
+		newDimHashesByName = map[string]uint64{}
+		collectorID        uint64 // All desc IDs XOR'd together.
+		duplicateDescErr   error
+	)
+	go func() {
+		c.Describe(descChan)
+		close(descChan)
+	}()
+	r.mtx.Lock()
+	defer func() {
+		// Drain channel in case of premature return to not leak a goroutine.
+		for range descChan {
+		}
+		r.mtx.Unlock()
+	}()
+	// Conduct various tests...
+	for desc := range descChan {
+
+		// Is the descriptor valid at all?
+		if desc.err != nil {
+			return fmt.Errorf("descriptor %s is invalid: %w", desc, desc.err)
+		}
+
+		// Is the descID unique?
+		// (In other words: Is the fqName + constLabel combination unique?)
+		if _, exists := r.descIDs[desc.id]; exists {
+			duplicateDescErr = fmt.Errorf("descriptor %s already exists with the same fully-qualified name and const label values", desc)
+		}
+		// If it is not a duplicate desc in this collector, XOR it to
+		// the collectorID.  (We allow duplicate descs within the same
+		// collector, but their existence must be a no-op.)
+		if _, exists := newDescIDs[desc.id]; !exists {
+			newDescIDs[desc.id] = struct{}{}
+			collectorID ^= desc.id
+		}
+
+		// Are all the label names and the help string consistent with
+		// previous descriptors of the same name?
+		// First check existing descriptors...
+		if dimHash, exists := r.dimHashesByName[desc.fqName]; exists {
+			if dimHash != desc.dimHash {
+				return fmt.Errorf("a previously registered descriptor with the same fully-qualified name as %s has different label names or a different help string", desc)
+			}
+		} else {
+			// ...then check the new descriptors already seen.
+			if dimHash, exists := newDimHashesByName[desc.fqName]; exists {
+				if dimHash != desc.dimHash {
+					return fmt.Errorf("descriptors reported by collector have inconsistent label names or help strings for the same fully-qualified name, offender is %s", desc)
+				}
+			} else {
+				newDimHashesByName[desc.fqName] = desc.dimHash
+			}
+		}
+	}
+	// A Collector yielding no Desc at all is considered unchecked.
+	if len(newDescIDs) == 0 {
+		r.uncheckedCollectors = append(r.uncheckedCollectors, c)
+		return nil
+	}
+	if existing, exists := r.collectorsByID[collectorID]; exists {
+		switch e := existing.(type) {
+		case *wrappingCollector:
+			return AlreadyRegisteredError{
+				ExistingCollector: e.unwrapRecursively(),
+				NewCollector:      c,
+			}
+		default:
+			return AlreadyRegisteredError{
+				ExistingCollector: e,
+				NewCollector:      c,
+			}
+		}
+	}
+	// If the collectorID is new, but at least one of the descs existed
+	// before, we are in trouble.
+	if duplicateDescErr != nil {
+		return duplicateDescErr
+	}
+
+	// Only after all tests have passed, actually register.
+	r.collectorsByID[collectorID] = c
+	for hash := range newDescIDs {
+		r.descIDs[hash] = struct{}{}
+	}
+	for name, dimHash := range newDimHashesByName {
+		r.dimHashesByName[name] = dimHash
+	}
+	return nil
+}
+
+// Unregister implements Registerer.
+func (r *Registry) Unregister(c Collector) bool {
+	var (
+		descChan    = make(chan *Desc, capDescChan)
+		descIDs     = map[uint64]struct{}{}
+		collectorID uint64 // All desc IDs XOR'd together.
+	)
+	go func() {
+		c.Describe(descChan)
+		close(descChan)
+	}()
+	for desc := range descChan {
+		if _, exists := descIDs[desc.id]; !exists {
+			collectorID ^= desc.id
+			descIDs[desc.id] = struct{}{}
+		}
+	}
+
+	r.mtx.RLock()
+	if _, exists := r.collectorsByID[collectorID]; !exists {
+		r.mtx.RUnlock()
+		return false
+	}
+	r.mtx.RUnlock()
+
+	r.mtx.Lock()
+	defer r.mtx.Unlock()
+
+	delete(r.collectorsByID, collectorID)
+	for id := range descIDs {
+		delete(r.descIDs, id)
+	}
+	// dimHashesByName is left untouched as those must be consistent
+	// throughout the lifetime of a program.
+	return true
+}
+
+// MustRegister implements Registerer.
+func (r *Registry) MustRegister(cs ...Collector) {
+	for _, c := range cs {
+		if err := r.Register(c); err != nil {
+			panic(err)
+		}
+	}
+}
+
+// Gather implements Gatherer.
+func (r *Registry) Gather() ([]*dto.MetricFamily, error) {
+	r.mtx.RLock()
+
+	if len(r.collectorsByID) == 0 && len(r.uncheckedCollectors) == 0 {
+		// Fast path.
+		r.mtx.RUnlock()
+		return nil, nil
+	}
+
+	var (
+		checkedMetricChan   = make(chan Metric, capMetricChan)
+		uncheckedMetricChan = make(chan Metric, capMetricChan)
+		metricHashes        = map[uint64]struct{}{}
+		wg                  sync.WaitGroup
+		errs                MultiError          // The collected errors to return in the end.
+		registeredDescIDs   map[uint64]struct{} // Only used for pedantic checks
+	)
+
+	goroutineBudget := len(r.collectorsByID) + len(r.uncheckedCollectors)
+	metricFamiliesByName := make(map[string]*dto.MetricFamily, len(r.dimHashesByName))
+	checkedCollectors := make(chan Collector, len(r.collectorsByID))
+	uncheckedCollectors := make(chan Collector, len(r.uncheckedCollectors))
+	for _, collector := range r.collectorsByID {
+		checkedCollectors <- collector
+	}
+	for _, collector := range r.uncheckedCollectors {
+		uncheckedCollectors <- collector
+	}
+	// In case pedantic checks are enabled, we have to copy the map before
+	// giving up the RLock.
+	if r.pedanticChecksEnabled {
+		registeredDescIDs = make(map[uint64]struct{}, len(r.descIDs))
+		for id := range r.descIDs {
+			registeredDescIDs[id] = struct{}{}
+		}
+	}
+	r.mtx.RUnlock()
+
+	wg.Add(goroutineBudget)
+
+	collectWorker := func() {
+		for {
+			select {
+			case collector := <-checkedCollectors:
+				collector.Collect(checkedMetricChan)
+			case collector := <-uncheckedCollectors:
+				collector.Collect(uncheckedMetricChan)
+			default:
+				return
+			}
+			wg.Done()
+		}
+	}
+
+	// Start the first worker now to make sure at least one is running.
+	go collectWorker()
+	goroutineBudget--
+
+	// Close checkedMetricChan and uncheckedMetricChan once all collectors
+	// are collected.
+	go func() {
+		wg.Wait()
+		close(checkedMetricChan)
+		close(uncheckedMetricChan)
+	}()
+
+	// Drain checkedMetricChan and uncheckedMetricChan in case of premature return.
+	defer func() {
+		if checkedMetricChan != nil {
+			for range checkedMetricChan {
+			}
+		}
+		if uncheckedMetricChan != nil {
+			for range uncheckedMetricChan {
+			}
+		}
+	}()
+
+	// Copy the channel references so we can nil them out later to remove
+	// them from the select statements below.
+	cmc := checkedMetricChan
+	umc := uncheckedMetricChan
+
+	for {
+		select {
+		case metric, ok := <-cmc:
+			if !ok {
+				cmc = nil
+				break
+			}
+			errs.Append(processMetric(
+				metric, metricFamiliesByName,
+				metricHashes,
+				registeredDescIDs,
+			))
+		case metric, ok := <-umc:
+			if !ok {
+				umc = nil
+				break
+			}
+			errs.Append(processMetric(
+				metric, metricFamiliesByName,
+				metricHashes,
+				nil,
+			))
+		default:
+			if goroutineBudget <= 0 || len(checkedCollectors)+len(uncheckedCollectors) == 0 {
+				// All collectors are already being worked on or
+				// we have already as many goroutines started as
+				// there are collectors. Do the same as above,
+				// just without the default.
+				select {
+				case metric, ok := <-cmc:
+					if !ok {
+						cmc = nil
+						break
+					}
+					errs.Append(processMetric(
+						metric, metricFamiliesByName,
+						metricHashes,
+						registeredDescIDs,
+					))
+				case metric, ok := <-umc:
+					if !ok {
+						umc = nil
+						break
+					}
+					errs.Append(processMetric(
+						metric, metricFamiliesByName,
+						metricHashes,
+						nil,
+					))
+				}
+				break
+			}
+			// Start more workers.
+			go collectWorker()
+			goroutineBudget--
+			runtime.Gosched()
+		}
+		// Once both checkedMetricChan and uncheckedMetricChan are closed
+		// and drained, the contraption above will nil out cmc and umc,
+		// and then we can leave the collect loop here.
+		if cmc == nil && umc == nil {
+			break
+		}
+	}
+	return internal.NormalizeMetricFamilies(metricFamiliesByName), errs.MaybeUnwrap()
+}
+
+// Describe implements Collector.
+func (r *Registry) Describe(ch chan<- *Desc) {
+	r.mtx.RLock()
+	defer r.mtx.RUnlock()
+
+	// Only report the checked Collectors; unchecked collectors don't report any
+	// Desc.
+	for _, c := range r.collectorsByID {
+		c.Describe(ch)
+	}
+}
+
+// Collect implements Collector.
+func (r *Registry) Collect(ch chan<- Metric) {
+	r.mtx.RLock()
+	defer r.mtx.RUnlock()
+
+	for _, c := range r.collectorsByID {
+		c.Collect(ch)
+	}
+	for _, c := range r.uncheckedCollectors {
+		c.Collect(ch)
+	}
+}
+
+// WriteToTextfile calls Gather on the provided Gatherer, encodes the result in the
+// Prometheus text format, and writes it to a temporary file. Upon success, the
+// temporary file is renamed to the provided filename.
+//
+// This is intended for use with the textfile collector of the node exporter.
+// Note that the node exporter expects the filename to be suffixed with ".prom".
+func WriteToTextfile(filename string, g Gatherer) error {
+	tmp, err := os.CreateTemp(filepath.Dir(filename), filepath.Base(filename))
+	if err != nil {
+		return err
+	}
+	defer os.Remove(tmp.Name())
+
+	mfs, err := g.Gather()
+	if err != nil {
+		return err
+	}
+	for _, mf := range mfs {
+		if _, err := expfmt.MetricFamilyToText(tmp, mf); err != nil {
+			return err
+		}
+	}
+	if err := tmp.Close(); err != nil {
+		return err
+	}
+
+	if err := os.Chmod(tmp.Name(), 0o644); err != nil {
+		return err
+	}
+	return os.Rename(tmp.Name(), filename)
+}
+
+// processMetric is an internal helper method only used by the Gather method.
+func processMetric(
+	metric Metric,
+	metricFamiliesByName map[string]*dto.MetricFamily,
+	metricHashes map[uint64]struct{},
+	registeredDescIDs map[uint64]struct{},
+) error {
+	desc := metric.Desc()
+	// Wrapped metrics collected by an unchecked Collector can have an
+	// invalid Desc.
+	if desc.err != nil {
+		return desc.err
+	}
+	dtoMetric := &dto.Metric{}
+	if err := metric.Write(dtoMetric); err != nil {
+		return fmt.Errorf("error collecting metric %v: %w", desc, err)
+	}
+	metricFamily, ok := metricFamiliesByName[desc.fqName]
+	if ok { // Existing name.
+		if metricFamily.GetHelp() != desc.help {
+			return fmt.Errorf(
+				"collected metric %s %s has help %q but should have %q",
+				desc.fqName, dtoMetric, desc.help, metricFamily.GetHelp(),
+			)
+		}
+		// TODO(beorn7): Simplify switch once Desc has type.
+		switch metricFamily.GetType() {
+		case dto.MetricType_COUNTER:
+			if dtoMetric.Counter == nil {
+				return fmt.Errorf(
+					"collected metric %s %s should be a Counter",
+					desc.fqName, dtoMetric,
+				)
+			}
+		case dto.MetricType_GAUGE:
+			if dtoMetric.Gauge == nil {
+				return fmt.Errorf(
+					"collected metric %s %s should be a Gauge",
+					desc.fqName, dtoMetric,
+				)
+			}
+		case dto.MetricType_SUMMARY:
+			if dtoMetric.Summary == nil {
+				return fmt.Errorf(
+					"collected metric %s %s should be a Summary",
+					desc.fqName, dtoMetric,
+				)
+			}
+		case dto.MetricType_UNTYPED:
+			if dtoMetric.Untyped == nil {
+				return fmt.Errorf(
+					"collected metric %s %s should be Untyped",
+					desc.fqName, dtoMetric,
+				)
+			}
+		case dto.MetricType_HISTOGRAM:
+			if dtoMetric.Histogram == nil {
+				return fmt.Errorf(
+					"collected metric %s %s should be a Histogram",
+					desc.fqName, dtoMetric,
+				)
+			}
+		default:
+			panic("encountered MetricFamily with invalid type")
+		}
+	} else { // New name.
+		metricFamily = &dto.MetricFamily{}
+		metricFamily.Name = proto.String(desc.fqName)
+		metricFamily.Help = proto.String(desc.help)
+		// TODO(beorn7): Simplify switch once Desc has type.
+		switch {
+		case dtoMetric.Gauge != nil:
+			metricFamily.Type = dto.MetricType_GAUGE.Enum()
+		case dtoMetric.Counter != nil:
+			metricFamily.Type = dto.MetricType_COUNTER.Enum()
+		case dtoMetric.Summary != nil:
+			metricFamily.Type = dto.MetricType_SUMMARY.Enum()
+		case dtoMetric.Untyped != nil:
+			metricFamily.Type = dto.MetricType_UNTYPED.Enum()
+		case dtoMetric.Histogram != nil:
+			metricFamily.Type = dto.MetricType_HISTOGRAM.Enum()
+		default:
+			return fmt.Errorf("empty metric collected: %s", dtoMetric)
+		}
+		if err := checkSuffixCollisions(metricFamily, metricFamiliesByName); err != nil {
+			return err
+		}
+		metricFamiliesByName[desc.fqName] = metricFamily
+	}
+	if err := checkMetricConsistency(metricFamily, dtoMetric, metricHashes); err != nil {
+		return err
+	}
+	if registeredDescIDs != nil {
+		// Is the desc registered at all?
+		if _, exist := registeredDescIDs[desc.id]; !exist {
+			return fmt.Errorf(
+				"collected metric %s %s with unregistered descriptor %s",
+				metricFamily.GetName(), dtoMetric, desc,
+			)
+		}
+		if err := checkDescConsistency(metricFamily, dtoMetric, desc); err != nil {
+			return err
+		}
+	}
+	metricFamily.Metric = append(metricFamily.Metric, dtoMetric)
+	return nil
+}
+
+// Gatherers is a slice of Gatherer instances that implements the Gatherer
+// interface itself. Its Gather method calls Gather on all Gatherers in the
+// slice in order and returns the merged results. Errors returned from the
+// Gather calls are all returned in a flattened MultiError. Duplicate and
+// inconsistent Metrics are skipped (first occurrence in slice order wins) and
+// reported in the returned error.
+//
+// Gatherers can be used to merge the Gather results from multiple
+// Registries. It also provides a way to directly inject existing MetricFamily
+// protobufs into the gathering by creating a custom Gatherer with a Gather
+// method that simply returns the existing MetricFamily protobufs. Note that no
+// registration is involved (in contrast to Collector registration), so
+// obviously registration-time checks cannot happen. Any inconsistencies between
+// the gathered MetricFamilies are reported as errors by the Gather method, and
+// inconsistent Metrics are dropped. Invalid parts of the MetricFamilies
+// (e.g. syntactically invalid metric or label names) will go undetected.
+type Gatherers []Gatherer
+
+// Gather implements Gatherer.
+func (gs Gatherers) Gather() ([]*dto.MetricFamily, error) {
+	var (
+		metricFamiliesByName = map[string]*dto.MetricFamily{}
+		metricHashes         = map[uint64]struct{}{}
+		errs                 MultiError // The collected errors to return in the end.
+	)
+
+	for i, g := range gs {
+		mfs, err := g.Gather()
+		if err != nil {
+			multiErr := MultiError{}
+			if errors.As(err, &multiErr) {
+				for _, err := range multiErr {
+					errs = append(errs, fmt.Errorf("[from Gatherer #%d] %w", i+1, err))
+				}
+			} else {
+				errs = append(errs, fmt.Errorf("[from Gatherer #%d] %w", i+1, err))
+			}
+		}
+		for _, mf := range mfs {
+			existingMF, exists := metricFamiliesByName[mf.GetName()]
+			if exists {
+				if existingMF.GetHelp() != mf.GetHelp() {
+					errs = append(errs, fmt.Errorf(
+						"gathered metric family %s has help %q but should have %q",
+						mf.GetName(), mf.GetHelp(), existingMF.GetHelp(),
+					))
+					continue
+				}
+				if existingMF.GetType() != mf.GetType() {
+					errs = append(errs, fmt.Errorf(
+						"gathered metric family %s has type %s but should have %s",
+						mf.GetName(), mf.GetType(), existingMF.GetType(),
+					))
+					continue
+				}
+			} else {
+				existingMF = &dto.MetricFamily{}
+				existingMF.Name = mf.Name
+				existingMF.Help = mf.Help
+				existingMF.Type = mf.Type
+				if err := checkSuffixCollisions(existingMF, metricFamiliesByName); err != nil {
+					errs = append(errs, err)
+					continue
+				}
+				metricFamiliesByName[mf.GetName()] = existingMF
+			}
+			for _, m := range mf.Metric {
+				if err := checkMetricConsistency(existingMF, m, metricHashes); err != nil {
+					errs = append(errs, err)
+					continue
+				}
+				existingMF.Metric = append(existingMF.Metric, m)
+			}
+		}
+	}
+	return internal.NormalizeMetricFamilies(metricFamiliesByName), errs.MaybeUnwrap()
+}
+
+// checkSuffixCollisions checks for collisions with the “magic” suffixes the
+// Prometheus text format and the internal metric representation of the
+// Prometheus server add while flattening Summaries and Histograms.
+func checkSuffixCollisions(mf *dto.MetricFamily, mfs map[string]*dto.MetricFamily) error {
+	var (
+		newName              = mf.GetName()
+		newType              = mf.GetType()
+		newNameWithoutSuffix = ""
+	)
+	switch {
+	case strings.HasSuffix(newName, "_count"):
+		newNameWithoutSuffix = newName[:len(newName)-6]
+	case strings.HasSuffix(newName, "_sum"):
+		newNameWithoutSuffix = newName[:len(newName)-4]
+	case strings.HasSuffix(newName, "_bucket"):
+		newNameWithoutSuffix = newName[:len(newName)-7]
+	}
+	if newNameWithoutSuffix != "" {
+		if existingMF, ok := mfs[newNameWithoutSuffix]; ok {
+			switch existingMF.GetType() {
+			case dto.MetricType_SUMMARY:
+				if !strings.HasSuffix(newName, "_bucket") {
+					return fmt.Errorf(
+						"collected metric named %q collides with previously collected summary named %q",
+						newName, newNameWithoutSuffix,
+					)
+				}
+			case dto.MetricType_HISTOGRAM:
+				return fmt.Errorf(
+					"collected metric named %q collides with previously collected histogram named %q",
+					newName, newNameWithoutSuffix,
+				)
+			}
+		}
+	}
+	if newType == dto.MetricType_SUMMARY || newType == dto.MetricType_HISTOGRAM {
+		if _, ok := mfs[newName+"_count"]; ok {
+			return fmt.Errorf(
+				"collected histogram or summary named %q collides with previously collected metric named %q",
+				newName, newName+"_count",
+			)
+		}
+		if _, ok := mfs[newName+"_sum"]; ok {
+			return fmt.Errorf(
+				"collected histogram or summary named %q collides with previously collected metric named %q",
+				newName, newName+"_sum",
+			)
+		}
+	}
+	if newType == dto.MetricType_HISTOGRAM {
+		if _, ok := mfs[newName+"_bucket"]; ok {
+			return fmt.Errorf(
+				"collected histogram named %q collides with previously collected metric named %q",
+				newName, newName+"_bucket",
+			)
+		}
+	}
+	return nil
+}
+
+// checkMetricConsistency checks if the provided Metric is consistent with the
+// provided MetricFamily. It also hashes the Metric labels and the MetricFamily
+// name. If the resulting hash is already in the provided metricHashes, an error
+// is returned. If not, it is added to metricHashes.
+func checkMetricConsistency(
+	metricFamily *dto.MetricFamily,
+	dtoMetric *dto.Metric,
+	metricHashes map[uint64]struct{},
+) error {
+	name := metricFamily.GetName()
+
+	// Type consistency with metric family.
+	if metricFamily.GetType() == dto.MetricType_GAUGE && dtoMetric.Gauge == nil ||
+		metricFamily.GetType() == dto.MetricType_COUNTER && dtoMetric.Counter == nil ||
+		metricFamily.GetType() == dto.MetricType_SUMMARY && dtoMetric.Summary == nil ||
+		metricFamily.GetType() == dto.MetricType_HISTOGRAM && dtoMetric.Histogram == nil ||
+		metricFamily.GetType() == dto.MetricType_UNTYPED && dtoMetric.Untyped == nil {
+		return fmt.Errorf(
+			"collected metric %q { %s} is not a %s",
+			name, dtoMetric, metricFamily.GetType(),
+		)
+	}
+
+	previousLabelName := ""
+	for _, labelPair := range dtoMetric.GetLabel() {
+		labelName := labelPair.GetName()
+		if labelName == previousLabelName {
+			return fmt.Errorf(
+				"collected metric %q { %s} has two or more labels with the same name: %s",
+				name, dtoMetric, labelName,
+			)
+		}
+		if !checkLabelName(labelName) {
+			return fmt.Errorf(
+				"collected metric %q { %s} has a label with an invalid name: %s",
+				name, dtoMetric, labelName,
+			)
+		}
+		if dtoMetric.Summary != nil && labelName == quantileLabel {
+			return fmt.Errorf(
+				"collected metric %q { %s} must not have an explicit %q label",
+				name, dtoMetric, quantileLabel,
+			)
+		}
+		if !utf8.ValidString(labelPair.GetValue()) {
+			return fmt.Errorf(
+				"collected metric %q { %s} has a label named %q whose value is not utf8: %#v",
+				name, dtoMetric, labelName, labelPair.GetValue())
+		}
+		previousLabelName = labelName
+	}
+
+	// Is the metric unique (i.e. no other metric with the same name and the same labels)?
+	h := xxhash.New()
+	h.WriteString(name)
+	h.Write(separatorByteSlice)
+	// Make sure label pairs are sorted. We depend on it for the consistency
+	// check.
+	if !sort.IsSorted(internal.LabelPairSorter(dtoMetric.Label)) {
+		// We cannot sort dtoMetric.Label in place as it is immutable by contract.
+		copiedLabels := make([]*dto.LabelPair, len(dtoMetric.Label))
+		copy(copiedLabels, dtoMetric.Label)
+		sort.Sort(internal.LabelPairSorter(copiedLabels))
+		dtoMetric.Label = copiedLabels
+	}
+	for _, lp := range dtoMetric.Label {
+		h.WriteString(lp.GetName())
+		h.Write(separatorByteSlice)
+		h.WriteString(lp.GetValue())
+		h.Write(separatorByteSlice)
+	}
+	if dtoMetric.TimestampMs != nil {
+		h.WriteString(strconv.FormatInt(*(dtoMetric.TimestampMs), 10))
+		h.Write(separatorByteSlice)
+	}
+	hSum := h.Sum64()
+	if _, exists := metricHashes[hSum]; exists {
+		return fmt.Errorf(
+			"collected metric %q { %s} was collected before with the same name and label values",
+			name, dtoMetric,
+		)
+	}
+	metricHashes[hSum] = struct{}{}
+	return nil
+}
+
+func checkDescConsistency(
+	metricFamily *dto.MetricFamily,
+	dtoMetric *dto.Metric,
+	desc *Desc,
+) error {
+	// Desc help consistency with metric family help.
+	if metricFamily.GetHelp() != desc.help {
+		return fmt.Errorf(
+			"collected metric %s %s has help %q but should have %q",
+			metricFamily.GetName(), dtoMetric, metricFamily.GetHelp(), desc.help,
+		)
+	}
+
+	// Is the desc consistent with the content of the metric?
+	lpsFromDesc := make([]*dto.LabelPair, len(desc.constLabelPairs), len(dtoMetric.Label))
+	copy(lpsFromDesc, desc.constLabelPairs)
+	for _, l := range desc.variableLabels.names {
+		lpsFromDesc = append(lpsFromDesc, &dto.LabelPair{
+			Name: proto.String(l),
+		})
+	}
+	if len(lpsFromDesc) != len(dtoMetric.Label) {
+		return fmt.Errorf(
+			"labels in collected metric %s %s are inconsistent with descriptor %s",
+			metricFamily.GetName(), dtoMetric, desc,
+		)
+	}
+	sort.Sort(internal.LabelPairSorter(lpsFromDesc))
+	for i, lpFromDesc := range lpsFromDesc {
+		lpFromMetric := dtoMetric.Label[i]
+		if lpFromDesc.GetName() != lpFromMetric.GetName() ||
+			lpFromDesc.Value != nil && lpFromDesc.GetValue() != lpFromMetric.GetValue() {
+			return fmt.Errorf(
+				"labels in collected metric %s %s are inconsistent with descriptor %s",
+				metricFamily.GetName(), dtoMetric, desc,
+			)
+		}
+	}
+	return nil
+}
+
+var _ TransactionalGatherer = &MultiTRegistry{}
+
+// MultiTRegistry is a TransactionalGatherer that joins gathered metrics from multiple
+// transactional gatherers.
+//
+// It is caller responsibility to ensure two registries have mutually exclusive metric families,
+// no deduplication will happen.
+type MultiTRegistry struct {
+	tGatherers []TransactionalGatherer
+}
+
+// NewMultiTRegistry creates MultiTRegistry.
+func NewMultiTRegistry(tGatherers ...TransactionalGatherer) *MultiTRegistry {
+	return &MultiTRegistry{
+		tGatherers: tGatherers,
+	}
+}
+
+// Gather implements TransactionalGatherer interface.
+func (r *MultiTRegistry) Gather() (mfs []*dto.MetricFamily, done func(), err error) {
+	errs := MultiError{}
+
+	dFns := make([]func(), 0, len(r.tGatherers))
+	// TODO(bwplotka): Implement concurrency for those?
+	for _, g := range r.tGatherers {
+		// TODO(bwplotka): Check for duplicates?
+		m, d, err := g.Gather()
+		errs.Append(err)
+
+		mfs = append(mfs, m...)
+		dFns = append(dFns, d)
+	}
+
+	// TODO(bwplotka): Consider sort in place, given metric family in gather is sorted already.
+	sort.Slice(mfs, func(i, j int) bool {
+		return *mfs[i].Name < *mfs[j].Name
+	})
+	return mfs, func() {
+		for _, d := range dFns {
+			d()
+		}
+	}, errs.MaybeUnwrap()
+}
+
+// TransactionalGatherer represents transactional gatherer that can be triggered to notify gatherer that memory
+// used by metric family is no longer used by a caller. This allows implementations with cache.
+type TransactionalGatherer interface {
+	// Gather returns metrics in a lexicographically sorted slice
+	// of uniquely named MetricFamily protobufs. Gather ensures that the
+	// returned slice is valid and self-consistent so that it can be used
+	// for valid exposition. As an exception to the strict consistency
+	// requirements described for metric.Desc, Gather will tolerate
+	// different sets of label names for metrics of the same metric family.
+	//
+	// Even if an error occurs, Gather attempts to gather as many metrics as
+	// possible. Hence, if a non-nil error is returned, the returned
+	// MetricFamily slice could be nil (in case of a fatal error that
+	// prevented any meaningful metric collection) or contain a number of
+	// MetricFamily protobufs, some of which might be incomplete, and some
+	// might be missing altogether. The returned error (which might be a
+	// MultiError) explains the details. Note that this is mostly useful for
+	// debugging purposes. If the gathered protobufs are to be used for
+	// exposition in actual monitoring, it is almost always better to not
+	// expose an incomplete result and instead disregard the returned
+	// MetricFamily protobufs in case the returned error is non-nil.
+	//
+	// Important: done is expected to be triggered (even if the error occurs!)
+	// once caller does not need returned slice of dto.MetricFamily.
+	Gather() (_ []*dto.MetricFamily, done func(), err error)
+}
+
+// ToTransactionalGatherer transforms Gatherer to transactional one with noop as done function.
+func ToTransactionalGatherer(g Gatherer) TransactionalGatherer {
+	return &noTransactionGatherer{g: g}
+}
+
+type noTransactionGatherer struct {
+	g Gatherer
+}
+
+// Gather implements TransactionalGatherer interface.
+func (g *noTransactionGatherer) Gather() (_ []*dto.MetricFamily, done func(), err error) {
+	mfs, err := g.g.Gather()
+	return mfs, func() {}, err
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/summary.go b/vendor/github.com/prometheus/client_golang/prometheus/summary.go
new file mode 100644
index 000000000..146270444
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/summary.go
@@ -0,0 +1,785 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"fmt"
+	"math"
+	"runtime"
+	"sort"
+	"sync"
+	"sync/atomic"
+	"time"
+
+	dto "github.com/prometheus/client_model/go"
+
+	"github.com/beorn7/perks/quantile"
+	"google.golang.org/protobuf/proto"
+	"google.golang.org/protobuf/types/known/timestamppb"
+)
+
+// quantileLabel is used for the label that defines the quantile in a
+// summary.
+const quantileLabel = "quantile"
+
+// A Summary captures individual observations from an event or sample stream and
+// summarizes them in a manner similar to traditional summary statistics: 1. sum
+// of observations, 2. observation count, 3. rank estimations.
+//
+// A typical use-case is the observation of request latencies. By default, a
+// Summary provides the median, the 90th and the 99th percentile of the latency
+// as rank estimations. However, the default behavior will change in the
+// upcoming v1.0.0 of the library. There will be no rank estimations at all by
+// default. For a sane transition, it is recommended to set the desired rank
+// estimations explicitly.
+//
+// Note that the rank estimations cannot be aggregated in a meaningful way with
+// the Prometheus query language (i.e. you cannot average or add them). If you
+// need aggregatable quantiles (e.g. you want the 99th percentile latency of all
+// queries served across all instances of a service), consider the Histogram
+// metric type. See the Prometheus documentation for more details.
+//
+// To create Summary instances, use NewSummary.
+type Summary interface {
+	Metric
+	Collector
+
+	// Observe adds a single observation to the summary. Observations are
+	// usually positive or zero. Negative observations are accepted but
+	// prevent current versions of Prometheus from properly detecting
+	// counter resets in the sum of observations. See
+	// https://prometheus.io/docs/practices/histograms/#count-and-sum-of-observations
+	// for details.
+	Observe(float64)
+}
+
+var errQuantileLabelNotAllowed = fmt.Errorf(
+	"%q is not allowed as label name in summaries", quantileLabel,
+)
+
+// Default values for SummaryOpts.
+const (
+	// DefMaxAge is the default duration for which observations stay
+	// relevant.
+	DefMaxAge time.Duration = 10 * time.Minute
+	// DefAgeBuckets is the default number of buckets used to calculate the
+	// age of observations.
+	DefAgeBuckets = 5
+	// DefBufCap is the standard buffer size for collecting Summary observations.
+	DefBufCap = 500
+)
+
+// SummaryOpts bundles the options for creating a Summary metric. It is
+// mandatory to set Name to a non-empty string. While all other fields are
+// optional and can safely be left at their zero value, it is recommended to set
+// a help string and to explicitly set the Objectives field to the desired value
+// as the default value will change in the upcoming v1.0.0 of the library.
+type SummaryOpts struct {
+	// Namespace, Subsystem, and Name are components of the fully-qualified
+	// name of the Summary (created by joining these components with
+	// "_"). Only Name is mandatory, the others merely help structuring the
+	// name. Note that the fully-qualified name of the Summary must be a
+	// valid Prometheus metric name.
+	Namespace string
+	Subsystem string
+	Name      string
+
+	// Help provides information about this Summary.
+	//
+	// Metrics with the same fully-qualified name must have the same Help
+	// string.
+	Help string
+
+	// ConstLabels are used to attach fixed labels to this metric. Metrics
+	// with the same fully-qualified name must have the same label names in
+	// their ConstLabels.
+	//
+	// Due to the way a Summary is represented in the Prometheus text format
+	// and how it is handled by the Prometheus server internally, “quantile”
+	// is an illegal label name. Construction of a Summary or SummaryVec
+	// will panic if this label name is used in ConstLabels.
+	//
+	// ConstLabels are only used rarely. In particular, do not use them to
+	// attach the same labels to all your metrics. Those use cases are
+	// better covered by target labels set by the scraping Prometheus
+	// server, or by one specific metric (e.g. a build_info or a
+	// machine_role metric). See also
+	// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels-not-static-scraped-labels
+	ConstLabels Labels
+
+	// Objectives defines the quantile rank estimates with their respective
+	// absolute error. If Objectives[q] = e, then the value reported for q
+	// will be the φ-quantile value for some φ between q-e and q+e.  The
+	// default value is an empty map, resulting in a summary without
+	// quantiles.
+	Objectives map[float64]float64
+
+	// MaxAge defines the duration for which an observation stays relevant
+	// for the summary. Only applies to pre-calculated quantiles, does not
+	// apply to _sum and _count. Must be positive. The default value is
+	// DefMaxAge.
+	MaxAge time.Duration
+
+	// AgeBuckets is the number of buckets used to exclude observations that
+	// are older than MaxAge from the summary. A higher number has a
+	// resource penalty, so only increase it if the higher resolution is
+	// really required. For very high observation rates, you might want to
+	// reduce the number of age buckets. With only one age bucket, you will
+	// effectively see a complete reset of the summary each time MaxAge has
+	// passed. The default value is DefAgeBuckets.
+	AgeBuckets uint32
+
+	// BufCap defines the default sample stream buffer size.  The default
+	// value of DefBufCap should suffice for most uses. If there is a need
+	// to increase the value, a multiple of 500 is recommended (because that
+	// is the internal buffer size of the underlying package
+	// "github.com/bmizerany/perks/quantile").
+	BufCap uint32
+
+	// now is for testing purposes, by default it's time.Now.
+	now func() time.Time
+}
+
+// SummaryVecOpts bundles the options to create a SummaryVec metric.
+// It is mandatory to set SummaryOpts, see there for mandatory fields. VariableLabels
+// is optional and can safely be left to its default value.
+type SummaryVecOpts struct {
+	SummaryOpts
+
+	// VariableLabels are used to partition the metric vector by the given set
+	// of labels. Each label value will be constrained with the optional Constraint
+	// function, if provided.
+	VariableLabels ConstrainableLabels
+}
+
+// Problem with the sliding-window decay algorithm... The Merge method of
+// perk/quantile is actually not working as advertised - and it might be
+// unfixable, as the underlying algorithm is apparently not capable of merging
+// summaries in the first place. To avoid using Merge, we are currently adding
+// observations to _each_ age bucket, i.e. the effort to add a sample is
+// essentially multiplied by the number of age buckets. When rotating age
+// buckets, we empty the previous head stream. On scrape time, we simply take
+// the quantiles from the head stream (no merging required). Result: More effort
+// on observation time, less effort on scrape time, which is exactly the
+// opposite of what we try to accomplish, but at least the results are correct.
+//
+// The quite elegant previous contraption to merge the age buckets efficiently
+// on scrape time (see code up commit 6b9530d72ea715f0ba612c0120e6e09fbf1d49d0)
+// can't be used anymore.
+
+// NewSummary creates a new Summary based on the provided SummaryOpts.
+func NewSummary(opts SummaryOpts) Summary {
+	return newSummary(
+		NewDesc(
+			BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+			opts.Help,
+			nil,
+			opts.ConstLabels,
+		),
+		opts,
+	)
+}
+
+func newSummary(desc *Desc, opts SummaryOpts, labelValues ...string) Summary {
+	if len(desc.variableLabels.names) != len(labelValues) {
+		panic(makeInconsistentCardinalityError(desc.fqName, desc.variableLabels.names, labelValues))
+	}
+
+	for _, n := range desc.variableLabels.names {
+		if n == quantileLabel {
+			panic(errQuantileLabelNotAllowed)
+		}
+	}
+	for _, lp := range desc.constLabelPairs {
+		if lp.GetName() == quantileLabel {
+			panic(errQuantileLabelNotAllowed)
+		}
+	}
+
+	if opts.Objectives == nil {
+		opts.Objectives = map[float64]float64{}
+	}
+
+	if opts.MaxAge < 0 {
+		panic(fmt.Errorf("illegal max age MaxAge=%v", opts.MaxAge))
+	}
+	if opts.MaxAge == 0 {
+		opts.MaxAge = DefMaxAge
+	}
+
+	if opts.AgeBuckets == 0 {
+		opts.AgeBuckets = DefAgeBuckets
+	}
+
+	if opts.BufCap == 0 {
+		opts.BufCap = DefBufCap
+	}
+
+	if opts.now == nil {
+		opts.now = time.Now
+	}
+	if len(opts.Objectives) == 0 {
+		// Use the lock-free implementation of a Summary without objectives.
+		s := &noObjectivesSummary{
+			desc:       desc,
+			labelPairs: MakeLabelPairs(desc, labelValues),
+			counts:     [2]*summaryCounts{{}, {}},
+		}
+		s.init(s) // Init self-collection.
+		s.createdTs = timestamppb.New(opts.now())
+		return s
+	}
+
+	s := &summary{
+		desc: desc,
+
+		objectives:       opts.Objectives,
+		sortedObjectives: make([]float64, 0, len(opts.Objectives)),
+
+		labelPairs: MakeLabelPairs(desc, labelValues),
+
+		hotBuf:         make([]float64, 0, opts.BufCap),
+		coldBuf:        make([]float64, 0, opts.BufCap),
+		streamDuration: opts.MaxAge / time.Duration(opts.AgeBuckets),
+	}
+	s.headStreamExpTime = opts.now().Add(s.streamDuration)
+	s.hotBufExpTime = s.headStreamExpTime
+
+	for i := uint32(0); i < opts.AgeBuckets; i++ {
+		s.streams = append(s.streams, s.newStream())
+	}
+	s.headStream = s.streams[0]
+
+	for qu := range s.objectives {
+		s.sortedObjectives = append(s.sortedObjectives, qu)
+	}
+	sort.Float64s(s.sortedObjectives)
+
+	s.init(s) // Init self-collection.
+	s.createdTs = timestamppb.New(opts.now())
+	return s
+}
+
+type summary struct {
+	selfCollector
+
+	bufMtx sync.Mutex // Protects hotBuf and hotBufExpTime.
+	mtx    sync.Mutex // Protects every other moving part.
+	// Lock bufMtx before mtx if both are needed.
+
+	desc *Desc
+
+	objectives       map[float64]float64
+	sortedObjectives []float64
+
+	labelPairs []*dto.LabelPair
+
+	sum float64
+	cnt uint64
+
+	hotBuf, coldBuf []float64
+
+	streams                          []*quantile.Stream
+	streamDuration                   time.Duration
+	headStream                       *quantile.Stream
+	headStreamIdx                    int
+	headStreamExpTime, hotBufExpTime time.Time
+
+	createdTs *timestamppb.Timestamp
+}
+
+func (s *summary) Desc() *Desc {
+	return s.desc
+}
+
+func (s *summary) Observe(v float64) {
+	s.bufMtx.Lock()
+	defer s.bufMtx.Unlock()
+
+	now := time.Now()
+	if now.After(s.hotBufExpTime) {
+		s.asyncFlush(now)
+	}
+	s.hotBuf = append(s.hotBuf, v)
+	if len(s.hotBuf) == cap(s.hotBuf) {
+		s.asyncFlush(now)
+	}
+}
+
+func (s *summary) Write(out *dto.Metric) error {
+	sum := &dto.Summary{
+		CreatedTimestamp: s.createdTs,
+	}
+	qs := make([]*dto.Quantile, 0, len(s.objectives))
+
+	s.bufMtx.Lock()
+	s.mtx.Lock()
+	// Swap bufs even if hotBuf is empty to set new hotBufExpTime.
+	s.swapBufs(time.Now())
+	s.bufMtx.Unlock()
+
+	s.flushColdBuf()
+	sum.SampleCount = proto.Uint64(s.cnt)
+	sum.SampleSum = proto.Float64(s.sum)
+
+	for _, rank := range s.sortedObjectives {
+		var q float64
+		if s.headStream.Count() == 0 {
+			q = math.NaN()
+		} else {
+			q = s.headStream.Query(rank)
+		}
+		qs = append(qs, &dto.Quantile{
+			Quantile: proto.Float64(rank),
+			Value:    proto.Float64(q),
+		})
+	}
+
+	s.mtx.Unlock()
+
+	if len(qs) > 0 {
+		sort.Sort(quantSort(qs))
+	}
+	sum.Quantile = qs
+
+	out.Summary = sum
+	out.Label = s.labelPairs
+	return nil
+}
+
+func (s *summary) newStream() *quantile.Stream {
+	return quantile.NewTargeted(s.objectives)
+}
+
+// asyncFlush needs bufMtx locked.
+func (s *summary) asyncFlush(now time.Time) {
+	s.mtx.Lock()
+	s.swapBufs(now)
+
+	// Unblock the original goroutine that was responsible for the mutation
+	// that triggered the compaction.  But hold onto the global non-buffer
+	// state mutex until the operation finishes.
+	go func() {
+		s.flushColdBuf()
+		s.mtx.Unlock()
+	}()
+}
+
+// rotateStreams needs mtx AND bufMtx locked.
+func (s *summary) maybeRotateStreams() {
+	for !s.hotBufExpTime.Equal(s.headStreamExpTime) {
+		s.headStream.Reset()
+		s.headStreamIdx++
+		if s.headStreamIdx >= len(s.streams) {
+			s.headStreamIdx = 0
+		}
+		s.headStream = s.streams[s.headStreamIdx]
+		s.headStreamExpTime = s.headStreamExpTime.Add(s.streamDuration)
+	}
+}
+
+// flushColdBuf needs mtx locked.
+func (s *summary) flushColdBuf() {
+	for _, v := range s.coldBuf {
+		for _, stream := range s.streams {
+			stream.Insert(v)
+		}
+		s.cnt++
+		s.sum += v
+	}
+	s.coldBuf = s.coldBuf[0:0]
+	s.maybeRotateStreams()
+}
+
+// swapBufs needs mtx AND bufMtx locked, coldBuf must be empty.
+func (s *summary) swapBufs(now time.Time) {
+	if len(s.coldBuf) != 0 {
+		panic("coldBuf is not empty")
+	}
+	s.hotBuf, s.coldBuf = s.coldBuf, s.hotBuf
+	// hotBuf is now empty and gets new expiration set.
+	for now.After(s.hotBufExpTime) {
+		s.hotBufExpTime = s.hotBufExpTime.Add(s.streamDuration)
+	}
+}
+
+type summaryCounts struct {
+	// sumBits contains the bits of the float64 representing the sum of all
+	// observations. sumBits and count have to go first in the struct to
+	// guarantee alignment for atomic operations.
+	// http://golang.org/pkg/sync/atomic/#pkg-note-BUG
+	sumBits uint64
+	count   uint64
+}
+
+type noObjectivesSummary struct {
+	// countAndHotIdx enables lock-free writes with use of atomic updates.
+	// The most significant bit is the hot index [0 or 1] of the count field
+	// below. Observe calls update the hot one. All remaining bits count the
+	// number of Observe calls. Observe starts by incrementing this counter,
+	// and finish by incrementing the count field in the respective
+	// summaryCounts, as a marker for completion.
+	//
+	// Calls of the Write method (which are non-mutating reads from the
+	// perspective of the summary) swap the hot–cold under the writeMtx
+	// lock. A cooldown is awaited (while locked) by comparing the number of
+	// observations with the initiation count. Once they match, then the
+	// last observation on the now cool one has completed. All cool fields must
+	// be merged into the new hot before releasing writeMtx.
+
+	// Fields with atomic access first! See alignment constraint:
+	// http://golang.org/pkg/sync/atomic/#pkg-note-BUG
+	countAndHotIdx uint64
+
+	selfCollector
+	desc     *Desc
+	writeMtx sync.Mutex // Only used in the Write method.
+
+	// Two counts, one is "hot" for lock-free observations, the other is
+	// "cold" for writing out a dto.Metric. It has to be an array of
+	// pointers to guarantee 64bit alignment of the histogramCounts, see
+	// http://golang.org/pkg/sync/atomic/#pkg-note-BUG.
+	counts [2]*summaryCounts
+
+	labelPairs []*dto.LabelPair
+
+	createdTs *timestamppb.Timestamp
+}
+
+func (s *noObjectivesSummary) Desc() *Desc {
+	return s.desc
+}
+
+func (s *noObjectivesSummary) Observe(v float64) {
+	// We increment h.countAndHotIdx so that the counter in the lower
+	// 63 bits gets incremented. At the same time, we get the new value
+	// back, which we can use to find the currently-hot counts.
+	n := atomic.AddUint64(&s.countAndHotIdx, 1)
+	hotCounts := s.counts[n>>63]
+
+	for {
+		oldBits := atomic.LoadUint64(&hotCounts.sumBits)
+		newBits := math.Float64bits(math.Float64frombits(oldBits) + v)
+		if atomic.CompareAndSwapUint64(&hotCounts.sumBits, oldBits, newBits) {
+			break
+		}
+	}
+	// Increment count last as we take it as a signal that the observation
+	// is complete.
+	atomic.AddUint64(&hotCounts.count, 1)
+}
+
+func (s *noObjectivesSummary) Write(out *dto.Metric) error {
+	// For simplicity, we protect this whole method by a mutex. It is not in
+	// the hot path, i.e. Observe is called much more often than Write. The
+	// complication of making Write lock-free isn't worth it, if possible at
+	// all.
+	s.writeMtx.Lock()
+	defer s.writeMtx.Unlock()
+
+	// Adding 1<<63 switches the hot index (from 0 to 1 or from 1 to 0)
+	// without touching the count bits. See the struct comments for a full
+	// description of the algorithm.
+	n := atomic.AddUint64(&s.countAndHotIdx, 1<<63)
+	// count is contained unchanged in the lower 63 bits.
+	count := n & ((1 << 63) - 1)
+	// The most significant bit tells us which counts is hot. The complement
+	// is thus the cold one.
+	hotCounts := s.counts[n>>63]
+	coldCounts := s.counts[(^n)>>63]
+
+	// Await cooldown.
+	for count != atomic.LoadUint64(&coldCounts.count) {
+		runtime.Gosched() // Let observations get work done.
+	}
+
+	sum := &dto.Summary{
+		SampleCount:      proto.Uint64(count),
+		SampleSum:        proto.Float64(math.Float64frombits(atomic.LoadUint64(&coldCounts.sumBits))),
+		CreatedTimestamp: s.createdTs,
+	}
+
+	out.Summary = sum
+	out.Label = s.labelPairs
+
+	// Finally add all the cold counts to the new hot counts and reset the cold counts.
+	atomic.AddUint64(&hotCounts.count, count)
+	atomic.StoreUint64(&coldCounts.count, 0)
+	for {
+		oldBits := atomic.LoadUint64(&hotCounts.sumBits)
+		newBits := math.Float64bits(math.Float64frombits(oldBits) + sum.GetSampleSum())
+		if atomic.CompareAndSwapUint64(&hotCounts.sumBits, oldBits, newBits) {
+			atomic.StoreUint64(&coldCounts.sumBits, 0)
+			break
+		}
+	}
+	return nil
+}
+
+type quantSort []*dto.Quantile
+
+func (s quantSort) Len() int {
+	return len(s)
+}
+
+func (s quantSort) Swap(i, j int) {
+	s[i], s[j] = s[j], s[i]
+}
+
+func (s quantSort) Less(i, j int) bool {
+	return s[i].GetQuantile() < s[j].GetQuantile()
+}
+
+// SummaryVec is a Collector that bundles a set of Summaries that all share the
+// same Desc, but have different values for their variable labels. This is used
+// if you want to count the same thing partitioned by various dimensions
+// (e.g. HTTP request latencies, partitioned by status code and method). Create
+// instances with NewSummaryVec.
+type SummaryVec struct {
+	*MetricVec
+}
+
+// NewSummaryVec creates a new SummaryVec based on the provided SummaryOpts and
+// partitioned by the given label names.
+//
+// Due to the way a Summary is represented in the Prometheus text format and how
+// it is handled by the Prometheus server internally, “quantile” is an illegal
+// label name. NewSummaryVec will panic if this label name is used.
+func NewSummaryVec(opts SummaryOpts, labelNames []string) *SummaryVec {
+	return V2.NewSummaryVec(SummaryVecOpts{
+		SummaryOpts:    opts,
+		VariableLabels: UnconstrainedLabels(labelNames),
+	})
+}
+
+// NewSummaryVec creates a new SummaryVec based on the provided SummaryVecOpts.
+func (v2) NewSummaryVec(opts SummaryVecOpts) *SummaryVec {
+	for _, ln := range opts.VariableLabels.labelNames() {
+		if ln == quantileLabel {
+			panic(errQuantileLabelNotAllowed)
+		}
+	}
+	desc := V2.NewDesc(
+		BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+		opts.Help,
+		opts.VariableLabels,
+		opts.ConstLabels,
+	)
+	return &SummaryVec{
+		MetricVec: NewMetricVec(desc, func(lvs ...string) Metric {
+			return newSummary(desc, opts.SummaryOpts, lvs...)
+		}),
+	}
+}
+
+// GetMetricWithLabelValues returns the Summary for the given slice of label
+// values (same order as the variable labels in Desc). If that combination of
+// label values is accessed for the first time, a new Summary is created.
+//
+// It is possible to call this method without using the returned Summary to only
+// create the new Summary but leave it at its starting value, a Summary without
+// any observations.
+//
+// Keeping the Summary for later use is possible (and should be considered if
+// performance is critical), but keep in mind that Reset, DeleteLabelValues and
+// Delete can be used to delete the Summary from the SummaryVec. In that case,
+// the Summary will still exist, but it will not be exported anymore, even if a
+// Summary with the same label values is created later. See also the CounterVec
+// example.
+//
+// An error is returned if the number of label values is not the same as the
+// number of variable labels in Desc (minus any curried labels).
+//
+// Note that for more than one label value, this method is prone to mistakes
+// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
+// an alternative to avoid that type of mistake. For higher label numbers, the
+// latter has a much more readable (albeit more verbose) syntax, but it comes
+// with a performance overhead (for creating and processing the Labels map).
+// See also the GaugeVec example.
+func (v *SummaryVec) GetMetricWithLabelValues(lvs ...string) (Observer, error) {
+	metric, err := v.MetricVec.GetMetricWithLabelValues(lvs...)
+	if metric != nil {
+		return metric.(Observer), err
+	}
+	return nil, err
+}
+
+// GetMetricWith returns the Summary for the given Labels map (the label names
+// must match those of the variable labels in Desc). If that label map is
+// accessed for the first time, a new Summary is created. Implications of
+// creating a Summary without using it and keeping the Summary for later use are
+// the same as for GetMetricWithLabelValues.
+//
+// An error is returned if the number and names of the Labels are inconsistent
+// with those of the variable labels in Desc (minus any curried labels).
+//
+// This method is used for the same purpose as
+// GetMetricWithLabelValues(...string). See there for pros and cons of the two
+// methods.
+func (v *SummaryVec) GetMetricWith(labels Labels) (Observer, error) {
+	metric, err := v.MetricVec.GetMetricWith(labels)
+	if metric != nil {
+		return metric.(Observer), err
+	}
+	return nil, err
+}
+
+// WithLabelValues works as GetMetricWithLabelValues, but panics where
+// GetMetricWithLabelValues would have returned an error. Not returning an
+// error allows shortcuts like
+//
+//	myVec.WithLabelValues("404", "GET").Observe(42.21)
+func (v *SummaryVec) WithLabelValues(lvs ...string) Observer {
+	s, err := v.GetMetricWithLabelValues(lvs...)
+	if err != nil {
+		panic(err)
+	}
+	return s
+}
+
+// With works as GetMetricWith, but panics where GetMetricWithLabels would have
+// returned an error. Not returning an error allows shortcuts like
+//
+//	myVec.With(prometheus.Labels{"code": "404", "method": "GET"}).Observe(42.21)
+func (v *SummaryVec) With(labels Labels) Observer {
+	s, err := v.GetMetricWith(labels)
+	if err != nil {
+		panic(err)
+	}
+	return s
+}
+
+// CurryWith returns a vector curried with the provided labels, i.e. the
+// returned vector has those labels pre-set for all labeled operations performed
+// on it. The cardinality of the curried vector is reduced accordingly. The
+// order of the remaining labels stays the same (just with the curried labels
+// taken out of the sequence – which is relevant for the
+// (GetMetric)WithLabelValues methods). It is possible to curry a curried
+// vector, but only with labels not yet used for currying before.
+//
+// The metrics contained in the SummaryVec are shared between the curried and
+// uncurried vectors. They are just accessed differently. Curried and uncurried
+// vectors behave identically in terms of collection. Only one must be
+// registered with a given registry (usually the uncurried version). The Reset
+// method deletes all metrics, even if called on a curried vector.
+func (v *SummaryVec) CurryWith(labels Labels) (ObserverVec, error) {
+	vec, err := v.MetricVec.CurryWith(labels)
+	if vec != nil {
+		return &SummaryVec{vec}, err
+	}
+	return nil, err
+}
+
+// MustCurryWith works as CurryWith but panics where CurryWith would have
+// returned an error.
+func (v *SummaryVec) MustCurryWith(labels Labels) ObserverVec {
+	vec, err := v.CurryWith(labels)
+	if err != nil {
+		panic(err)
+	}
+	return vec
+}
+
+type constSummary struct {
+	desc       *Desc
+	count      uint64
+	sum        float64
+	quantiles  map[float64]float64
+	labelPairs []*dto.LabelPair
+	createdTs  *timestamppb.Timestamp
+}
+
+func (s *constSummary) Desc() *Desc {
+	return s.desc
+}
+
+func (s *constSummary) Write(out *dto.Metric) error {
+	sum := &dto.Summary{
+		CreatedTimestamp: s.createdTs,
+	}
+	qs := make([]*dto.Quantile, 0, len(s.quantiles))
+
+	sum.SampleCount = proto.Uint64(s.count)
+	sum.SampleSum = proto.Float64(s.sum)
+
+	for rank, q := range s.quantiles {
+		qs = append(qs, &dto.Quantile{
+			Quantile: proto.Float64(rank),
+			Value:    proto.Float64(q),
+		})
+	}
+
+	if len(qs) > 0 {
+		sort.Sort(quantSort(qs))
+	}
+	sum.Quantile = qs
+
+	out.Summary = sum
+	out.Label = s.labelPairs
+
+	return nil
+}
+
+// NewConstSummary returns a metric representing a Prometheus summary with fixed
+// values for the count, sum, and quantiles. As those parameters cannot be
+// changed, the returned value does not implement the Summary interface (but
+// only the Metric interface). Users of this package will not have much use for
+// it in regular operations. However, when implementing custom Collectors, it is
+// useful as a throw-away metric that is generated on the fly to send it to
+// Prometheus in the Collect method.
+//
+// quantiles maps ranks to quantile values. For example, a median latency of
+// 0.23s and a 99th percentile latency of 0.56s would be expressed as:
+//
+//	map[float64]float64{0.5: 0.23, 0.99: 0.56}
+//
+// NewConstSummary returns an error if the length of labelValues is not
+// consistent with the variable labels in Desc or if Desc is invalid.
+func NewConstSummary(
+	desc *Desc,
+	count uint64,
+	sum float64,
+	quantiles map[float64]float64,
+	labelValues ...string,
+) (Metric, error) {
+	if desc.err != nil {
+		return nil, desc.err
+	}
+	if err := validateLabelValues(labelValues, len(desc.variableLabels.names)); err != nil {
+		return nil, err
+	}
+	return &constSummary{
+		desc:       desc,
+		count:      count,
+		sum:        sum,
+		quantiles:  quantiles,
+		labelPairs: MakeLabelPairs(desc, labelValues),
+	}, nil
+}
+
+// MustNewConstSummary is a version of NewConstSummary that panics where
+// NewConstMetric would have returned an error.
+func MustNewConstSummary(
+	desc *Desc,
+	count uint64,
+	sum float64,
+	quantiles map[float64]float64,
+	labelValues ...string,
+) Metric {
+	m, err := NewConstSummary(desc, count, sum, quantiles, labelValues...)
+	if err != nil {
+		panic(err)
+	}
+	return m
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/timer.go b/vendor/github.com/prometheus/client_golang/prometheus/timer.go
new file mode 100644
index 000000000..52344fef5
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/timer.go
@@ -0,0 +1,81 @@
+// Copyright 2016 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import "time"
+
+// Timer is a helper type to time functions. Use NewTimer to create new
+// instances.
+type Timer struct {
+	begin    time.Time
+	observer Observer
+}
+
+// NewTimer creates a new Timer. The provided Observer is used to observe a
+// duration in seconds. If the Observer implements ExemplarObserver, passing exemplar
+// later on will be also supported.
+// Timer is usually used to time a function call in the
+// following way:
+//
+//	func TimeMe() {
+//	    timer := NewTimer(myHistogram)
+//	    defer timer.ObserveDuration()
+//	    // Do actual work.
+//	}
+//
+// or
+//
+//	func TimeMeWithExemplar() {
+//		    timer := NewTimer(myHistogram)
+//		    defer timer.ObserveDurationWithExemplar(exemplar)
+//		    // Do actual work.
+//		}
+func NewTimer(o Observer) *Timer {
+	return &Timer{
+		begin:    time.Now(),
+		observer: o,
+	}
+}
+
+// ObserveDuration records the duration passed since the Timer was created with
+// NewTimer. It calls the Observe method of the Observer provided during
+// construction with the duration in seconds as an argument. The observed
+// duration is also returned. ObserveDuration is usually called with a defer
+// statement.
+//
+// Note that this method is only guaranteed to never observe negative durations
+// if used with Go1.9+.
+func (t *Timer) ObserveDuration() time.Duration {
+	d := time.Since(t.begin)
+	if t.observer != nil {
+		t.observer.Observe(d.Seconds())
+	}
+	return d
+}
+
+// ObserveDurationWithExemplar is like ObserveDuration, but it will also
+// observe exemplar with the duration unless exemplar is nil or provided Observer can't
+// be casted to ExemplarObserver.
+func (t *Timer) ObserveDurationWithExemplar(exemplar Labels) time.Duration {
+	d := time.Since(t.begin)
+	eo, ok := t.observer.(ExemplarObserver)
+	if ok && exemplar != nil {
+		eo.ObserveWithExemplar(d.Seconds(), exemplar)
+		return d
+	}
+	if t.observer != nil {
+		t.observer.Observe(d.Seconds())
+	}
+	return d
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/untyped.go b/vendor/github.com/prometheus/client_golang/prometheus/untyped.go
new file mode 100644
index 000000000..0f9ce63f4
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/untyped.go
@@ -0,0 +1,42 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+// UntypedOpts is an alias for Opts. See there for doc comments.
+type UntypedOpts Opts
+
+// UntypedFunc works like GaugeFunc but the collected metric is of type
+// "Untyped". UntypedFunc is useful to mirror an external metric of unknown
+// type.
+//
+// To create UntypedFunc instances, use NewUntypedFunc.
+type UntypedFunc interface {
+	Metric
+	Collector
+}
+
+// NewUntypedFunc creates a new UntypedFunc based on the provided
+// UntypedOpts. The value reported is determined by calling the given function
+// from within the Write method. Take into account that metric collection may
+// happen concurrently. If that results in concurrent calls to Write, like in
+// the case where an UntypedFunc is directly registered with Prometheus, the
+// provided function must be concurrency-safe.
+func NewUntypedFunc(opts UntypedOpts, function func() float64) UntypedFunc {
+	return newValueFunc(NewDesc(
+		BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
+		opts.Help,
+		nil,
+		opts.ConstLabels,
+	), UntypedValue, function)
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/value.go b/vendor/github.com/prometheus/client_golang/prometheus/value.go
new file mode 100644
index 000000000..cc23011fa
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/value.go
@@ -0,0 +1,274 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"errors"
+	"fmt"
+	"sort"
+	"time"
+	"unicode/utf8"
+
+	"github.com/prometheus/client_golang/prometheus/internal"
+
+	dto "github.com/prometheus/client_model/go"
+	"google.golang.org/protobuf/proto"
+	"google.golang.org/protobuf/types/known/timestamppb"
+)
+
+// ValueType is an enumeration of metric types that represent a simple value.
+type ValueType int
+
+// Possible values for the ValueType enum. Use UntypedValue to mark a metric
+// with an unknown type.
+const (
+	_ ValueType = iota
+	CounterValue
+	GaugeValue
+	UntypedValue
+)
+
+var (
+	CounterMetricTypePtr = func() *dto.MetricType { d := dto.MetricType_COUNTER; return &d }()
+	GaugeMetricTypePtr   = func() *dto.MetricType { d := dto.MetricType_GAUGE; return &d }()
+	UntypedMetricTypePtr = func() *dto.MetricType { d := dto.MetricType_UNTYPED; return &d }()
+)
+
+func (v ValueType) ToDTO() *dto.MetricType {
+	switch v {
+	case CounterValue:
+		return CounterMetricTypePtr
+	case GaugeValue:
+		return GaugeMetricTypePtr
+	default:
+		return UntypedMetricTypePtr
+	}
+}
+
+// valueFunc is a generic metric for simple values retrieved on collect time
+// from a function. It implements Metric and Collector. Its effective type is
+// determined by ValueType. This is a low-level building block used by the
+// library to back the implementations of CounterFunc, GaugeFunc, and
+// UntypedFunc.
+type valueFunc struct {
+	selfCollector
+
+	desc       *Desc
+	valType    ValueType
+	function   func() float64
+	labelPairs []*dto.LabelPair
+}
+
+// newValueFunc returns a newly allocated valueFunc with the given Desc and
+// ValueType. The value reported is determined by calling the given function
+// from within the Write method. Take into account that metric collection may
+// happen concurrently. If that results in concurrent calls to Write, like in
+// the case where a valueFunc is directly registered with Prometheus, the
+// provided function must be concurrency-safe.
+func newValueFunc(desc *Desc, valueType ValueType, function func() float64) *valueFunc {
+	result := &valueFunc{
+		desc:       desc,
+		valType:    valueType,
+		function:   function,
+		labelPairs: MakeLabelPairs(desc, nil),
+	}
+	result.init(result)
+	return result
+}
+
+func (v *valueFunc) Desc() *Desc {
+	return v.desc
+}
+
+func (v *valueFunc) Write(out *dto.Metric) error {
+	return populateMetric(v.valType, v.function(), v.labelPairs, nil, out, nil)
+}
+
+// NewConstMetric returns a metric with one fixed value that cannot be
+// changed. Users of this package will not have much use for it in regular
+// operations. However, when implementing custom Collectors, it is useful as a
+// throw-away metric that is generated on the fly to send it to Prometheus in
+// the Collect method. NewConstMetric returns an error if the length of
+// labelValues is not consistent with the variable labels in Desc or if Desc is
+// invalid.
+func NewConstMetric(desc *Desc, valueType ValueType, value float64, labelValues ...string) (Metric, error) {
+	if desc.err != nil {
+		return nil, desc.err
+	}
+	if err := validateLabelValues(labelValues, len(desc.variableLabels.names)); err != nil {
+		return nil, err
+	}
+
+	metric := &dto.Metric{}
+	if err := populateMetric(valueType, value, MakeLabelPairs(desc, labelValues), nil, metric, nil); err != nil {
+		return nil, err
+	}
+
+	return &constMetric{
+		desc:   desc,
+		metric: metric,
+	}, nil
+}
+
+// MustNewConstMetric is a version of NewConstMetric that panics where
+// NewConstMetric would have returned an error.
+func MustNewConstMetric(desc *Desc, valueType ValueType, value float64, labelValues ...string) Metric {
+	m, err := NewConstMetric(desc, valueType, value, labelValues...)
+	if err != nil {
+		panic(err)
+	}
+	return m
+}
+
+// NewConstMetricWithCreatedTimestamp does the same thing as NewConstMetric, but generates Counters
+// with created timestamp set and returns an error for other metric types.
+func NewConstMetricWithCreatedTimestamp(desc *Desc, valueType ValueType, value float64, ct time.Time, labelValues ...string) (Metric, error) {
+	if desc.err != nil {
+		return nil, desc.err
+	}
+	if err := validateLabelValues(labelValues, len(desc.variableLabels.names)); err != nil {
+		return nil, err
+	}
+	switch valueType {
+	case CounterValue:
+		break
+	default:
+		return nil, errors.New("created timestamps are only supported for counters")
+	}
+
+	metric := &dto.Metric{}
+	if err := populateMetric(valueType, value, MakeLabelPairs(desc, labelValues), nil, metric, timestamppb.New(ct)); err != nil {
+		return nil, err
+	}
+
+	return &constMetric{
+		desc:   desc,
+		metric: metric,
+	}, nil
+}
+
+// MustNewConstMetricWithCreatedTimestamp is a version of NewConstMetricWithCreatedTimestamp that panics where
+// NewConstMetricWithCreatedTimestamp would have returned an error.
+func MustNewConstMetricWithCreatedTimestamp(desc *Desc, valueType ValueType, value float64, ct time.Time, labelValues ...string) Metric {
+	m, err := NewConstMetricWithCreatedTimestamp(desc, valueType, value, ct, labelValues...)
+	if err != nil {
+		panic(err)
+	}
+	return m
+}
+
+type constMetric struct {
+	desc   *Desc
+	metric *dto.Metric
+}
+
+func (m *constMetric) Desc() *Desc {
+	return m.desc
+}
+
+func (m *constMetric) Write(out *dto.Metric) error {
+	out.Label = m.metric.Label
+	out.Counter = m.metric.Counter
+	out.Gauge = m.metric.Gauge
+	out.Untyped = m.metric.Untyped
+	return nil
+}
+
+func populateMetric(
+	t ValueType,
+	v float64,
+	labelPairs []*dto.LabelPair,
+	e *dto.Exemplar,
+	m *dto.Metric,
+	ct *timestamppb.Timestamp,
+) error {
+	m.Label = labelPairs
+	switch t {
+	case CounterValue:
+		m.Counter = &dto.Counter{Value: proto.Float64(v), Exemplar: e, CreatedTimestamp: ct}
+	case GaugeValue:
+		m.Gauge = &dto.Gauge{Value: proto.Float64(v)}
+	case UntypedValue:
+		m.Untyped = &dto.Untyped{Value: proto.Float64(v)}
+	default:
+		return fmt.Errorf("encountered unknown type %v", t)
+	}
+	return nil
+}
+
+// MakeLabelPairs is a helper function to create protobuf LabelPairs from the
+// variable and constant labels in the provided Desc. The values for the
+// variable labels are defined by the labelValues slice, which must be in the
+// same order as the corresponding variable labels in the Desc.
+//
+// This function is only needed for custom Metric implementations. See MetricVec
+// example.
+func MakeLabelPairs(desc *Desc, labelValues []string) []*dto.LabelPair {
+	totalLen := len(desc.variableLabels.names) + len(desc.constLabelPairs)
+	if totalLen == 0 {
+		// Super fast path.
+		return nil
+	}
+	if len(desc.variableLabels.names) == 0 {
+		// Moderately fast path.
+		return desc.constLabelPairs
+	}
+	labelPairs := make([]*dto.LabelPair, 0, totalLen)
+	for i, l := range desc.variableLabels.names {
+		labelPairs = append(labelPairs, &dto.LabelPair{
+			Name:  proto.String(l),
+			Value: proto.String(labelValues[i]),
+		})
+	}
+	labelPairs = append(labelPairs, desc.constLabelPairs...)
+	sort.Sort(internal.LabelPairSorter(labelPairs))
+	return labelPairs
+}
+
+// ExemplarMaxRunes is the max total number of runes allowed in exemplar labels.
+const ExemplarMaxRunes = 128
+
+// newExemplar creates a new dto.Exemplar from the provided values. An error is
+// returned if any of the label names or values are invalid or if the total
+// number of runes in the label names and values exceeds ExemplarMaxRunes.
+func newExemplar(value float64, ts time.Time, l Labels) (*dto.Exemplar, error) {
+	e := &dto.Exemplar{}
+	e.Value = proto.Float64(value)
+	tsProto := timestamppb.New(ts)
+	if err := tsProto.CheckValid(); err != nil {
+		return nil, err
+	}
+	e.Timestamp = tsProto
+	labelPairs := make([]*dto.LabelPair, 0, len(l))
+	var runes int
+	for name, value := range l {
+		if !checkLabelName(name) {
+			return nil, fmt.Errorf("exemplar label name %q is invalid", name)
+		}
+		runes += utf8.RuneCountInString(name)
+		if !utf8.ValidString(value) {
+			return nil, fmt.Errorf("exemplar label value %q is not valid UTF-8", value)
+		}
+		runes += utf8.RuneCountInString(value)
+		labelPairs = append(labelPairs, &dto.LabelPair{
+			Name:  proto.String(name),
+			Value: proto.String(value),
+		})
+	}
+	if runes > ExemplarMaxRunes {
+		return nil, fmt.Errorf("exemplar labels have %d runes, exceeding the limit of %d", runes, ExemplarMaxRunes)
+	}
+	e.Label = labelPairs
+	return e, nil
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/vec.go b/vendor/github.com/prometheus/client_golang/prometheus/vec.go
new file mode 100644
index 000000000..955cfd59f
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/vec.go
@@ -0,0 +1,709 @@
+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"fmt"
+	"sync"
+
+	"github.com/prometheus/common/model"
+)
+
+// MetricVec is a Collector to bundle metrics of the same name that differ in
+// their label values. MetricVec is not used directly but as a building block
+// for implementations of vectors of a given metric type, like GaugeVec,
+// CounterVec, SummaryVec, and HistogramVec. It is exported so that it can be
+// used for custom Metric implementations.
+//
+// To create a FooVec for custom Metric Foo, embed a pointer to MetricVec in
+// FooVec and initialize it with NewMetricVec. Implement wrappers for
+// GetMetricWithLabelValues and GetMetricWith that return (Foo, error) rather
+// than (Metric, error). Similarly, create a wrapper for CurryWith that returns
+// (*FooVec, error) rather than (*MetricVec, error). It is recommended to also
+// add the convenience methods WithLabelValues, With, and MustCurryWith, which
+// panic instead of returning errors. See also the MetricVec example.
+type MetricVec struct {
+	*metricMap
+
+	curry []curriedLabelValue
+
+	// hashAdd and hashAddByte can be replaced for testing collision handling.
+	hashAdd     func(h uint64, s string) uint64
+	hashAddByte func(h uint64, b byte) uint64
+}
+
+// NewMetricVec returns an initialized metricVec.
+func NewMetricVec(desc *Desc, newMetric func(lvs ...string) Metric) *MetricVec {
+	return &MetricVec{
+		metricMap: &metricMap{
+			metrics:   map[uint64][]metricWithLabelValues{},
+			desc:      desc,
+			newMetric: newMetric,
+		},
+		hashAdd:     hashAdd,
+		hashAddByte: hashAddByte,
+	}
+}
+
+// DeleteLabelValues removes the metric where the variable labels are the same
+// as those passed in as labels (same order as the VariableLabels in Desc). It
+// returns true if a metric was deleted.
+//
+// It is not an error if the number of label values is not the same as the
+// number of VariableLabels in Desc. However, such inconsistent label count can
+// never match an actual metric, so the method will always return false in that
+// case.
+//
+// Note that for more than one label value, this method is prone to mistakes
+// caused by an incorrect order of arguments. Consider Delete(Labels) as an
+// alternative to avoid that type of mistake. For higher label numbers, the
+// latter has a much more readable (albeit more verbose) syntax, but it comes
+// with a performance overhead (for creating and processing the Labels map).
+// See also the CounterVec example.
+func (m *MetricVec) DeleteLabelValues(lvs ...string) bool {
+	lvs = constrainLabelValues(m.desc, lvs, m.curry)
+
+	h, err := m.hashLabelValues(lvs)
+	if err != nil {
+		return false
+	}
+
+	return m.metricMap.deleteByHashWithLabelValues(h, lvs, m.curry)
+}
+
+// Delete deletes the metric where the variable labels are the same as those
+// passed in as labels. It returns true if a metric was deleted.
+//
+// It is not an error if the number and names of the Labels are inconsistent
+// with those of the VariableLabels in Desc. However, such inconsistent Labels
+// can never match an actual metric, so the method will always return false in
+// that case.
+//
+// This method is used for the same purpose as DeleteLabelValues(...string). See
+// there for pros and cons of the two methods.
+func (m *MetricVec) Delete(labels Labels) bool {
+	labels, closer := constrainLabels(m.desc, labels)
+	defer closer()
+
+	h, err := m.hashLabels(labels)
+	if err != nil {
+		return false
+	}
+
+	return m.metricMap.deleteByHashWithLabels(h, labels, m.curry)
+}
+
+// DeletePartialMatch deletes all metrics where the variable labels contain all of those
+// passed in as labels. The order of the labels does not matter.
+// It returns the number of metrics deleted.
+//
+// Note that curried labels will never be matched if deleting from the curried vector.
+// To match curried labels with DeletePartialMatch, it must be called on the base vector.
+func (m *MetricVec) DeletePartialMatch(labels Labels) int {
+	labels, closer := constrainLabels(m.desc, labels)
+	defer closer()
+
+	return m.metricMap.deleteByLabels(labels, m.curry)
+}
+
+// Without explicit forwarding of Describe, Collect, Reset, those methods won't
+// show up in GoDoc.
+
+// Describe implements Collector.
+func (m *MetricVec) Describe(ch chan<- *Desc) { m.metricMap.Describe(ch) }
+
+// Collect implements Collector.
+func (m *MetricVec) Collect(ch chan<- Metric) { m.metricMap.Collect(ch) }
+
+// Reset deletes all metrics in this vector.
+func (m *MetricVec) Reset() { m.metricMap.Reset() }
+
+// CurryWith returns a vector curried with the provided labels, i.e. the
+// returned vector has those labels pre-set for all labeled operations performed
+// on it. The cardinality of the curried vector is reduced accordingly. The
+// order of the remaining labels stays the same (just with the curried labels
+// taken out of the sequence – which is relevant for the
+// (GetMetric)WithLabelValues methods). It is possible to curry a curried
+// vector, but only with labels not yet used for currying before.
+//
+// The metrics contained in the MetricVec are shared between the curried and
+// uncurried vectors. They are just accessed differently. Curried and uncurried
+// vectors behave identically in terms of collection. Only one must be
+// registered with a given registry (usually the uncurried version). The Reset
+// method deletes all metrics, even if called on a curried vector.
+//
+// Note that CurryWith is usually not called directly but through a wrapper
+// around MetricVec, implementing a vector for a specific Metric
+// implementation, for example GaugeVec.
+func (m *MetricVec) CurryWith(labels Labels) (*MetricVec, error) {
+	var (
+		newCurry []curriedLabelValue
+		oldCurry = m.curry
+		iCurry   int
+	)
+	for i, labelName := range m.desc.variableLabels.names {
+		val, ok := labels[labelName]
+		if iCurry < len(oldCurry) && oldCurry[iCurry].index == i {
+			if ok {
+				return nil, fmt.Errorf("label name %q is already curried", labelName)
+			}
+			newCurry = append(newCurry, oldCurry[iCurry])
+			iCurry++
+		} else {
+			if !ok {
+				continue // Label stays uncurried.
+			}
+			newCurry = append(newCurry, curriedLabelValue{
+				i,
+				m.desc.variableLabels.constrain(labelName, val),
+			})
+		}
+	}
+	if l := len(oldCurry) + len(labels) - len(newCurry); l > 0 {
+		return nil, fmt.Errorf("%d unknown label(s) found during currying", l)
+	}
+
+	return &MetricVec{
+		metricMap:   m.metricMap,
+		curry:       newCurry,
+		hashAdd:     m.hashAdd,
+		hashAddByte: m.hashAddByte,
+	}, nil
+}
+
+// GetMetricWithLabelValues returns the Metric for the given slice of label
+// values (same order as the variable labels in Desc). If that combination of
+// label values is accessed for the first time, a new Metric is created (by
+// calling the newMetric function provided during construction of the
+// MetricVec).
+//
+// It is possible to call this method without using the returned Metric to only
+// create the new Metric but leave it in its initial state.
+//
+// Keeping the Metric for later use is possible (and should be considered if
+// performance is critical), but keep in mind that Reset, DeleteLabelValues and
+// Delete can be used to delete the Metric from the MetricVec. In that case, the
+// Metric will still exist, but it will not be exported anymore, even if a
+// Metric with the same label values is created later.
+//
+// An error is returned if the number of label values is not the same as the
+// number of variable labels in Desc (minus any curried labels).
+//
+// Note that for more than one label value, this method is prone to mistakes
+// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
+// an alternative to avoid that type of mistake. For higher label numbers, the
+// latter has a much more readable (albeit more verbose) syntax, but it comes
+// with a performance overhead (for creating and processing the Labels map).
+//
+// Note that GetMetricWithLabelValues is usually not called directly but through
+// a wrapper around MetricVec, implementing a vector for a specific Metric
+// implementation, for example GaugeVec.
+func (m *MetricVec) GetMetricWithLabelValues(lvs ...string) (Metric, error) {
+	lvs = constrainLabelValues(m.desc, lvs, m.curry)
+	h, err := m.hashLabelValues(lvs)
+	if err != nil {
+		return nil, err
+	}
+
+	return m.metricMap.getOrCreateMetricWithLabelValues(h, lvs, m.curry), nil
+}
+
+// GetMetricWith returns the Metric for the given Labels map (the label names
+// must match those of the variable labels in Desc). If that label map is
+// accessed for the first time, a new Metric is created. Implications of
+// creating a Metric without using it and keeping the Metric for later use
+// are the same as for GetMetricWithLabelValues.
+//
+// An error is returned if the number and names of the Labels are inconsistent
+// with those of the variable labels in Desc (minus any curried labels).
+//
+// This method is used for the same purpose as
+// GetMetricWithLabelValues(...string). See there for pros and cons of the two
+// methods.
+//
+// Note that GetMetricWith is usually not called directly but through a wrapper
+// around MetricVec, implementing a vector for a specific Metric implementation,
+// for example GaugeVec.
+func (m *MetricVec) GetMetricWith(labels Labels) (Metric, error) {
+	labels, closer := constrainLabels(m.desc, labels)
+	defer closer()
+
+	h, err := m.hashLabels(labels)
+	if err != nil {
+		return nil, err
+	}
+
+	return m.metricMap.getOrCreateMetricWithLabels(h, labels, m.curry), nil
+}
+
+func (m *MetricVec) hashLabelValues(vals []string) (uint64, error) {
+	if err := validateLabelValues(vals, len(m.desc.variableLabels.names)-len(m.curry)); err != nil {
+		return 0, err
+	}
+
+	var (
+		h             = hashNew()
+		curry         = m.curry
+		iVals, iCurry int
+	)
+	for i := 0; i < len(m.desc.variableLabels.names); i++ {
+		if iCurry < len(curry) && curry[iCurry].index == i {
+			h = m.hashAdd(h, curry[iCurry].value)
+			iCurry++
+		} else {
+			h = m.hashAdd(h, vals[iVals])
+			iVals++
+		}
+		h = m.hashAddByte(h, model.SeparatorByte)
+	}
+	return h, nil
+}
+
+func (m *MetricVec) hashLabels(labels Labels) (uint64, error) {
+	if err := validateValuesInLabels(labels, len(m.desc.variableLabels.names)-len(m.curry)); err != nil {
+		return 0, err
+	}
+
+	var (
+		h      = hashNew()
+		curry  = m.curry
+		iCurry int
+	)
+	for i, labelName := range m.desc.variableLabels.names {
+		val, ok := labels[labelName]
+		if iCurry < len(curry) && curry[iCurry].index == i {
+			if ok {
+				return 0, fmt.Errorf("label name %q is already curried", labelName)
+			}
+			h = m.hashAdd(h, curry[iCurry].value)
+			iCurry++
+		} else {
+			if !ok {
+				return 0, fmt.Errorf("label name %q missing in label map", labelName)
+			}
+			h = m.hashAdd(h, val)
+		}
+		h = m.hashAddByte(h, model.SeparatorByte)
+	}
+	return h, nil
+}
+
+// metricWithLabelValues provides the metric and its label values for
+// disambiguation on hash collision.
+type metricWithLabelValues struct {
+	values []string
+	metric Metric
+}
+
+// curriedLabelValue sets the curried value for a label at the given index.
+type curriedLabelValue struct {
+	index int
+	value string
+}
+
+// metricMap is a helper for metricVec and shared between differently curried
+// metricVecs.
+type metricMap struct {
+	mtx       sync.RWMutex // Protects metrics.
+	metrics   map[uint64][]metricWithLabelValues
+	desc      *Desc
+	newMetric func(labelValues ...string) Metric
+}
+
+// Describe implements Collector. It will send exactly one Desc to the provided
+// channel.
+func (m *metricMap) Describe(ch chan<- *Desc) {
+	ch <- m.desc
+}
+
+// Collect implements Collector.
+func (m *metricMap) Collect(ch chan<- Metric) {
+	m.mtx.RLock()
+	defer m.mtx.RUnlock()
+
+	for _, metrics := range m.metrics {
+		for _, metric := range metrics {
+			ch <- metric.metric
+		}
+	}
+}
+
+// Reset deletes all metrics in this vector.
+func (m *metricMap) Reset() {
+	m.mtx.Lock()
+	defer m.mtx.Unlock()
+
+	for h := range m.metrics {
+		delete(m.metrics, h)
+	}
+}
+
+// deleteByHashWithLabelValues removes the metric from the hash bucket h. If
+// there are multiple matches in the bucket, use lvs to select a metric and
+// remove only that metric.
+func (m *metricMap) deleteByHashWithLabelValues(
+	h uint64, lvs []string, curry []curriedLabelValue,
+) bool {
+	m.mtx.Lock()
+	defer m.mtx.Unlock()
+
+	metrics, ok := m.metrics[h]
+	if !ok {
+		return false
+	}
+
+	i := findMetricWithLabelValues(metrics, lvs, curry)
+	if i >= len(metrics) {
+		return false
+	}
+
+	if len(metrics) > 1 {
+		old := metrics
+		m.metrics[h] = append(metrics[:i], metrics[i+1:]...)
+		old[len(old)-1] = metricWithLabelValues{}
+	} else {
+		delete(m.metrics, h)
+	}
+	return true
+}
+
+// deleteByHashWithLabels removes the metric from the hash bucket h. If there
+// are multiple matches in the bucket, use lvs to select a metric and remove
+// only that metric.
+func (m *metricMap) deleteByHashWithLabels(
+	h uint64, labels Labels, curry []curriedLabelValue,
+) bool {
+	m.mtx.Lock()
+	defer m.mtx.Unlock()
+
+	metrics, ok := m.metrics[h]
+	if !ok {
+		return false
+	}
+	i := findMetricWithLabels(m.desc, metrics, labels, curry)
+	if i >= len(metrics) {
+		return false
+	}
+
+	if len(metrics) > 1 {
+		old := metrics
+		m.metrics[h] = append(metrics[:i], metrics[i+1:]...)
+		old[len(old)-1] = metricWithLabelValues{}
+	} else {
+		delete(m.metrics, h)
+	}
+	return true
+}
+
+// deleteByLabels deletes a metric if the given labels are present in the metric.
+func (m *metricMap) deleteByLabels(labels Labels, curry []curriedLabelValue) int {
+	m.mtx.Lock()
+	defer m.mtx.Unlock()
+
+	var numDeleted int
+
+	for h, metrics := range m.metrics {
+		i := findMetricWithPartialLabels(m.desc, metrics, labels, curry)
+		if i >= len(metrics) {
+			// Didn't find matching labels in this metric slice.
+			continue
+		}
+		delete(m.metrics, h)
+		numDeleted++
+	}
+
+	return numDeleted
+}
+
+// findMetricWithPartialLabel returns the index of the matching metric or
+// len(metrics) if not found.
+func findMetricWithPartialLabels(
+	desc *Desc, metrics []metricWithLabelValues, labels Labels, curry []curriedLabelValue,
+) int {
+	for i, metric := range metrics {
+		if matchPartialLabels(desc, metric.values, labels, curry) {
+			return i
+		}
+	}
+	return len(metrics)
+}
+
+// indexOf searches the given slice of strings for the target string and returns
+// the index or len(items) as well as a boolean whether the search succeeded.
+func indexOf(target string, items []string) (int, bool) {
+	for i, l := range items {
+		if l == target {
+			return i, true
+		}
+	}
+	return len(items), false
+}
+
+// valueMatchesVariableOrCurriedValue determines if a value was previously curried,
+// and returns whether it matches either the "base" value or the curried value accordingly.
+// It also indicates whether the match is against a curried or uncurried value.
+func valueMatchesVariableOrCurriedValue(targetValue string, index int, values []string, curry []curriedLabelValue) (bool, bool) {
+	for _, curriedValue := range curry {
+		if curriedValue.index == index {
+			// This label was curried. See if the curried value matches our target.
+			return curriedValue.value == targetValue, true
+		}
+	}
+	// This label was not curried. See if the current value matches our target label.
+	return values[index] == targetValue, false
+}
+
+// matchPartialLabels searches the current metric and returns whether all of the target label:value pairs are present.
+func matchPartialLabels(desc *Desc, values []string, labels Labels, curry []curriedLabelValue) bool {
+	for l, v := range labels {
+		// Check if the target label exists in our metrics and get the index.
+		varLabelIndex, validLabel := indexOf(l, desc.variableLabels.names)
+		if validLabel {
+			// Check the value of that label against the target value.
+			// We don't consider curried values in partial matches.
+			matches, curried := valueMatchesVariableOrCurriedValue(v, varLabelIndex, values, curry)
+			if matches && !curried {
+				continue
+			}
+		}
+		return false
+	}
+	return true
+}
+
+// getOrCreateMetricWithLabelValues retrieves the metric by hash and label value
+// or creates it and returns the new one.
+//
+// This function holds the mutex.
+func (m *metricMap) getOrCreateMetricWithLabelValues(
+	hash uint64, lvs []string, curry []curriedLabelValue,
+) Metric {
+	m.mtx.RLock()
+	metric, ok := m.getMetricWithHashAndLabelValues(hash, lvs, curry)
+	m.mtx.RUnlock()
+	if ok {
+		return metric
+	}
+
+	m.mtx.Lock()
+	defer m.mtx.Unlock()
+	metric, ok = m.getMetricWithHashAndLabelValues(hash, lvs, curry)
+	if !ok {
+		inlinedLVs := inlineLabelValues(lvs, curry)
+		metric = m.newMetric(inlinedLVs...)
+		m.metrics[hash] = append(m.metrics[hash], metricWithLabelValues{values: inlinedLVs, metric: metric})
+	}
+	return metric
+}
+
+// getOrCreateMetricWithLabelValues retrieves the metric by hash and label value
+// or creates it and returns the new one.
+//
+// This function holds the mutex.
+func (m *metricMap) getOrCreateMetricWithLabels(
+	hash uint64, labels Labels, curry []curriedLabelValue,
+) Metric {
+	m.mtx.RLock()
+	metric, ok := m.getMetricWithHashAndLabels(hash, labels, curry)
+	m.mtx.RUnlock()
+	if ok {
+		return metric
+	}
+
+	m.mtx.Lock()
+	defer m.mtx.Unlock()
+	metric, ok = m.getMetricWithHashAndLabels(hash, labels, curry)
+	if !ok {
+		lvs := extractLabelValues(m.desc, labels, curry)
+		metric = m.newMetric(lvs...)
+		m.metrics[hash] = append(m.metrics[hash], metricWithLabelValues{values: lvs, metric: metric})
+	}
+	return metric
+}
+
+// getMetricWithHashAndLabelValues gets a metric while handling possible
+// collisions in the hash space. Must be called while holding the read mutex.
+func (m *metricMap) getMetricWithHashAndLabelValues(
+	h uint64, lvs []string, curry []curriedLabelValue,
+) (Metric, bool) {
+	metrics, ok := m.metrics[h]
+	if ok {
+		if i := findMetricWithLabelValues(metrics, lvs, curry); i < len(metrics) {
+			return metrics[i].metric, true
+		}
+	}
+	return nil, false
+}
+
+// getMetricWithHashAndLabels gets a metric while handling possible collisions in
+// the hash space. Must be called while holding read mutex.
+func (m *metricMap) getMetricWithHashAndLabels(
+	h uint64, labels Labels, curry []curriedLabelValue,
+) (Metric, bool) {
+	metrics, ok := m.metrics[h]
+	if ok {
+		if i := findMetricWithLabels(m.desc, metrics, labels, curry); i < len(metrics) {
+			return metrics[i].metric, true
+		}
+	}
+	return nil, false
+}
+
+// findMetricWithLabelValues returns the index of the matching metric or
+// len(metrics) if not found.
+func findMetricWithLabelValues(
+	metrics []metricWithLabelValues, lvs []string, curry []curriedLabelValue,
+) int {
+	for i, metric := range metrics {
+		if matchLabelValues(metric.values, lvs, curry) {
+			return i
+		}
+	}
+	return len(metrics)
+}
+
+// findMetricWithLabels returns the index of the matching metric or len(metrics)
+// if not found.
+func findMetricWithLabels(
+	desc *Desc, metrics []metricWithLabelValues, labels Labels, curry []curriedLabelValue,
+) int {
+	for i, metric := range metrics {
+		if matchLabels(desc, metric.values, labels, curry) {
+			return i
+		}
+	}
+	return len(metrics)
+}
+
+func matchLabelValues(values, lvs []string, curry []curriedLabelValue) bool {
+	if len(values) != len(lvs)+len(curry) {
+		return false
+	}
+	var iLVs, iCurry int
+	for i, v := range values {
+		if iCurry < len(curry) && curry[iCurry].index == i {
+			if v != curry[iCurry].value {
+				return false
+			}
+			iCurry++
+			continue
+		}
+		if v != lvs[iLVs] {
+			return false
+		}
+		iLVs++
+	}
+	return true
+}
+
+func matchLabels(desc *Desc, values []string, labels Labels, curry []curriedLabelValue) bool {
+	if len(values) != len(labels)+len(curry) {
+		return false
+	}
+	iCurry := 0
+	for i, k := range desc.variableLabels.names {
+		if iCurry < len(curry) && curry[iCurry].index == i {
+			if values[i] != curry[iCurry].value {
+				return false
+			}
+			iCurry++
+			continue
+		}
+		if values[i] != labels[k] {
+			return false
+		}
+	}
+	return true
+}
+
+func extractLabelValues(desc *Desc, labels Labels, curry []curriedLabelValue) []string {
+	labelValues := make([]string, len(labels)+len(curry))
+	iCurry := 0
+	for i, k := range desc.variableLabels.names {
+		if iCurry < len(curry) && curry[iCurry].index == i {
+			labelValues[i] = curry[iCurry].value
+			iCurry++
+			continue
+		}
+		labelValues[i] = labels[k]
+	}
+	return labelValues
+}
+
+func inlineLabelValues(lvs []string, curry []curriedLabelValue) []string {
+	labelValues := make([]string, len(lvs)+len(curry))
+	var iCurry, iLVs int
+	for i := range labelValues {
+		if iCurry < len(curry) && curry[iCurry].index == i {
+			labelValues[i] = curry[iCurry].value
+			iCurry++
+			continue
+		}
+		labelValues[i] = lvs[iLVs]
+		iLVs++
+	}
+	return labelValues
+}
+
+var labelsPool = &sync.Pool{
+	New: func() interface{} {
+		return make(Labels)
+	},
+}
+
+func constrainLabels(desc *Desc, labels Labels) (Labels, func()) {
+	if len(desc.variableLabels.labelConstraints) == 0 {
+		// Fast path when there's no constraints
+		return labels, func() {}
+	}
+
+	constrainedLabels := labelsPool.Get().(Labels)
+	for l, v := range labels {
+		constrainedLabels[l] = desc.variableLabels.constrain(l, v)
+	}
+
+	return constrainedLabels, func() {
+		for k := range constrainedLabels {
+			delete(constrainedLabels, k)
+		}
+		labelsPool.Put(constrainedLabels)
+	}
+}
+
+func constrainLabelValues(desc *Desc, lvs []string, curry []curriedLabelValue) []string {
+	if len(desc.variableLabels.labelConstraints) == 0 {
+		// Fast path when there's no constraints
+		return lvs
+	}
+
+	constrainedValues := make([]string, len(lvs))
+	var iCurry, iLVs int
+	for i := 0; i < len(lvs)+len(curry); i++ {
+		if iCurry < len(curry) && curry[iCurry].index == i {
+			iCurry++
+			continue
+		}
+
+		if i < len(desc.variableLabels.names) {
+			constrainedValues[iLVs] = desc.variableLabels.constrain(
+				desc.variableLabels.names[i],
+				lvs[iLVs],
+			)
+		} else {
+			constrainedValues[iLVs] = lvs[iLVs]
+		}
+		iLVs++
+	}
+	return constrainedValues
+}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/vnext.go b/vendor/github.com/prometheus/client_golang/prometheus/vnext.go
new file mode 100644
index 000000000..42bc3a8f0
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/vnext.go
@@ -0,0 +1,23 @@
+// Copyright 2022 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+type v2 struct{}
+
+// V2 is a struct that can be referenced to access experimental API that might
+// be present in v2 of client golang someday. It offers extended functionality
+// of v1 with slightly changed API. It is acceptable to use some pieces from v1
+// and e.g `prometheus.NewGauge` and some from v2 e.g. `prometheus.V2.NewDesc`
+// in the same codebase.
+var V2 = v2{}
diff --git a/vendor/github.com/prometheus/client_golang/prometheus/wrap.go b/vendor/github.com/prometheus/client_golang/prometheus/wrap.go
new file mode 100644
index 000000000..25da157f1
--- /dev/null
+++ b/vendor/github.com/prometheus/client_golang/prometheus/wrap.go
@@ -0,0 +1,214 @@
+// Copyright 2018 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+package prometheus
+
+import (
+	"fmt"
+	"sort"
+
+	"github.com/prometheus/client_golang/prometheus/internal"
+
+	dto "github.com/prometheus/client_model/go"
+	"google.golang.org/protobuf/proto"
+)
+
+// WrapRegistererWith returns a Registerer wrapping the provided
+// Registerer. Collectors registered with the returned Registerer will be
+// registered with the wrapped Registerer in a modified way. The modified
+// Collector adds the provided Labels to all Metrics it collects (as
+// ConstLabels). The Metrics collected by the unmodified Collector must not
+// duplicate any of those labels. Wrapping a nil value is valid, resulting
+// in a no-op Registerer.
+//
+// WrapRegistererWith provides a way to add fixed labels to a subset of
+// Collectors. It should not be used to add fixed labels to all metrics
+// exposed. See also
+// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels-not-static-scraped-labels
+//
+// Conflicts between Collectors registered through the original Registerer with
+// Collectors registered through the wrapping Registerer will still be
+// detected. Any AlreadyRegisteredError returned by the Register method of
+// either Registerer will contain the ExistingCollector in the form it was
+// provided to the respective registry.
+//
+// The Collector example demonstrates a use of WrapRegistererWith.
+func WrapRegistererWith(labels Labels, reg Registerer) Registerer {
+	return &wrappingRegisterer{
+		wrappedRegisterer: reg,
+		labels:            labels,
+	}
+}
+
+// WrapRegistererWithPrefix returns a Registerer wrapping the provided
+// Registerer. Collectors registered with the returned Registerer will be
+// registered with the wrapped Registerer in a modified way. The modified
+// Collector adds the provided prefix to the name of all Metrics it collects.
+// Wrapping a nil value is valid, resulting in a no-op Registerer.
+//
+// WrapRegistererWithPrefix is useful to have one place to prefix all metrics of
+// a sub-system. To make this work, register metrics of the sub-system with the
+// wrapping Registerer returned by WrapRegistererWithPrefix. It is rarely useful
+// to use the same prefix for all metrics exposed. In particular, do not prefix
+// metric names that are standardized across applications, as that would break
+// horizontal monitoring, for example the metrics provided by the Go collector
+// (see NewGoCollector) and the process collector (see NewProcessCollector). (In
+// fact, those metrics are already prefixed with “go_” or “process_”,
+// respectively.)
+//
+// Conflicts between Collectors registered through the original Registerer with
+// Collectors registered through the wrapping Registerer will still be
+// detected. Any AlreadyRegisteredError returned by the Register method of
+// either Registerer will contain the ExistingCollector in the form it was
+// provided to the respective registry.
+func WrapRegistererWithPrefix(prefix string, reg Registerer) Registerer {
+	return &wrappingRegisterer{
+		wrappedRegisterer: reg,
+		prefix:            prefix,
+	}
+}
+
+type wrappingRegisterer struct {
+	wrappedRegisterer Registerer
+	prefix            string
+	labels            Labels
+}
+
+func (r *wrappingRegisterer) Register(c Collector) error {
+	if r.wrappedRegisterer == nil {
+		return nil
+	}
+	return r.wrappedRegisterer.Register(&wrappingCollector{
+		wrappedCollector: c,
+		prefix:           r.prefix,
+		labels:           r.labels,
+	})
+}
+
+func (r *wrappingRegisterer) MustRegister(cs ...Collector) {
+	if r.wrappedRegisterer == nil {
+		return
+	}
+	for _, c := range cs {
+		if err := r.Register(c); err != nil {
+			panic(err)
+		}
+	}
+}
+
+func (r *wrappingRegisterer) Unregister(c Collector) bool {
+	if r.wrappedRegisterer == nil {
+		return false
+	}
+	return r.wrappedRegisterer.Unregister(&wrappingCollector{
+		wrappedCollector: c,
+		prefix:           r.prefix,
+		labels:           r.labels,
+	})
+}
+
+type wrappingCollector struct {
+	wrappedCollector Collector
+	prefix           string
+	labels           Labels
+}
+
+func (c *wrappingCollector) Collect(ch chan<- Metric) {
+	wrappedCh := make(chan Metric)
+	go func() {
+		c.wrappedCollector.Collect(wrappedCh)
+		close(wrappedCh)
+	}()
+	for m := range wrappedCh {
+		ch <- &wrappingMetric{
+			wrappedMetric: m,
+			prefix:        c.prefix,
+			labels:        c.labels,
+		}
+	}
+}
+
+func (c *wrappingCollector) Describe(ch chan<- *Desc) {
+	wrappedCh := make(chan *Desc)
+	go func() {
+		c.wrappedCollector.Describe(wrappedCh)
+		close(wrappedCh)
+	}()
+	for desc := range wrappedCh {
+		ch <- wrapDesc(desc, c.prefix, c.labels)
+	}
+}
+
+func (c *wrappingCollector) unwrapRecursively() Collector {
+	switch wc := c.wrappedCollector.(type) {
+	case *wrappingCollector:
+		return wc.unwrapRecursively()
+	default:
+		return wc
+	}
+}
+
+type wrappingMetric struct {
+	wrappedMetric Metric
+	prefix        string
+	labels        Labels
+}
+
+func (m *wrappingMetric) Desc() *Desc {
+	return wrapDesc(m.wrappedMetric.Desc(), m.prefix, m.labels)
+}
+
+func (m *wrappingMetric) Write(out *dto.Metric) error {
+	if err := m.wrappedMetric.Write(out); err != nil {
+		return err
+	}
+	if len(m.labels) == 0 {
+		// No wrapping labels.
+		return nil
+	}
+	for ln, lv := range m.labels {
+		out.Label = append(out.Label, &dto.LabelPair{
+			Name:  proto.String(ln),
+			Value: proto.String(lv),
+		})
+	}
+	sort.Sort(internal.LabelPairSorter(out.Label))
+	return nil
+}
+
+func wrapDesc(desc *Desc, prefix string, labels Labels) *Desc {
+	constLabels := Labels{}
+	for _, lp := range desc.constLabelPairs {
+		constLabels[*lp.Name] = *lp.Value
+	}
+	for ln, lv := range labels {
+		if _, alreadyUsed := constLabels[ln]; alreadyUsed {
+			return &Desc{
+				fqName:          desc.fqName,
+				help:            desc.help,
+				variableLabels:  desc.variableLabels,
+				constLabelPairs: desc.constLabelPairs,
+				err:             fmt.Errorf("attempted wrapping with already existing label name %q", ln),
+			}
+		}
+		constLabels[ln] = lv
+	}
+	// NewDesc will do remaining validations.
+	newDesc := V2.NewDesc(prefix+desc.fqName, desc.help, desc.variableLabels, constLabels)
+	// Propagate errors if there was any. This will override any errer
+	// created by NewDesc above, i.e. earlier errors get precedence.
+	if desc.err != nil {
+		newDesc.err = desc.err
+	}
+	return newDesc
+}