* The implicit registration of Prometheus metrics for workqueue has been removed, and a plug-able interface was added. If you were using workqueue in your own binaries and want these metrics, add the following to your imports in the main package: "k8s.io/pkg/util/workqueue/prometheus". ([#33792](https://github.com/kubernetes/kubernetes/pull/33792), [@caesarxuchao]...

import (
	"context"
	"sync"
	"time"

	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio/internal/cachevalue"
)

// metricsCache - cache for metrics.
//
// When serving metrics, this cache is passed to the MetricsLoaderFn.
//
// This cache is used for metrics that would result in network/storage calls.
type metricsCache struct {
	dataUsageInfo       *cachevalue.Cache[DataUsageInfo]

pkg syscall (freebsd-arm64), type IfaMsghdr struct, Flags int32
pkg syscall (freebsd-arm64), type IfaMsghdr struct, Index uint16
pkg syscall (freebsd-arm64), type IfaMsghdr struct, Metric int32
pkg syscall (freebsd-arm64), type IfaMsghdr struct, Msglen uint16
pkg syscall (freebsd-arm64), type IfaMsghdr struct, Pad_cgo_0 [2]uint8
pkg syscall (freebsd-arm64), type IfaMsghdr struct, Type uint8

pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Flags int32
pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Index uint16
pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Metric int32
pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Msglen uint16
pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Pad_cgo_0 [6]uint8
pkg syscall (netbsd-arm64-cgo), type IfaMsghdr struct, Type uint8

type InQueueStats struct {
	nowBytes   int64 `json:"-"`
	nowCount   int64 `json:"-"`
	histCounts metrics.Histogram
	histBytes  metrics.Histogram
}

func newInQueueStats(r metrics.Registry, lbl string) InQueueStats {
	histCounts := metrics.NewHistogram(metrics.NewUniformSample(100))
	histBytes := metrics.NewHistogram(metrics.NewUniformSample(100))

	r.Register("replication.queue.counts."+lbl, histCounts)

func (m *MetricValues) setDriveAPIMetrics(disk madmin.Disk, labels []string) {
	if disk.Metrics == nil {
		return
	}

	m.Set(driveTimeoutErrorsTotal, float64(disk.Metrics.TotalErrorsTimeout), labels...)
	m.Set(driveIOErrorsTotal, float64(disk.Metrics.TotalErrorsAvailability-disk.Metrics.TotalErrorsTimeout), labels...)
	m.Set(driveAvailabilityErrorsTotal, float64(disk.Metrics.TotalErrorsAvailability), labels...)

		cpuNiceVal := math.Round(ts.Nice/tot*100*100) / 100
		m.Set(sysCPUNice, cpuNiceVal)
		cpuStealVal := math.Round(ts.Steal/tot*100*100) / 100
		m.Set(sysCPUSteal, cpuStealVal)
	}

	// metrics-resource.go runs a job to collect resource metrics including their Avg values and
	// stores them in resourceMetricsMap. We can use it to get the Avg values of CPU idle and IOWait.
	cpuResourceMetrics, found := resourceMetricsMap[cpuSubsystem]
	if found {

	usageVersionCountDistribution = "version_count_distribution"
)

var (
	usageSinceLastUpdateSecondsMD = NewGaugeMD(usageSinceLastUpdateSeconds,
		"Time since last update of usage metrics in seconds")
	usageTotalBytesMD = NewGaugeMD(usageTotalBytes,
		"Total cluster usage in bytes")
	usageObjectsCountMD = NewGaugeMD(usageObjectsCount,
		"Total cluster objects count")

		"Count of online drives in the cluster")
	healthDrivesCountMD = NewGaugeMD(healthDrivesCount,
		"Count of all drives in the cluster")
)

// loadClusterHealthDriveMetrics - `MetricsLoaderFn` for cluster storage drive metrics
// such as online, offline and total drives.
func loadClusterHealthDriveMetrics(ctx context.Context, m MetricValues,
	c *metricsCache,
) error {
	clusterDriveMetrics, _ := c.clusterDriveMetrics.Get()

	ilmVersionsScannedMD                = NewCounterMD(versionsScanned, "Total number of object versions checked for ILM actions since server start")
)

// loadILMMetrics - `MetricsLoaderFn` for ILM metrics.
func loadILMMetrics(_ context.Context, m MetricValues, _ *metricsCache) error {
	if globalExpiryState != nil {
		m.Set(expiryPendingTasks, float64(globalExpiryState.PendingTasks()))
	}
	if globalTransitionState != nil {