istioctl experimental metrics productpage-v1 -d 2m

  # Retrieve workload metrics for various services in the different namespaces
  istioctl experimental metrics productpage-v1.foo reviews-v1.bar ratings-v1.baz`,
		// nolint: goimports
		Aliases: []string{"m"},
		Args: func(cmd *cobra.Command, args []string) error {
			if len(args) < 1 {
				cmd.Println(cmd.UsageString())
				return fmt.Errorf("metrics requires workload name")
			}

		}
	}
}

// save mrf entries to nodenamehex.bin
func (p *ReplicationPool) saveMRFEntries(ctx context.Context, entries map[string]MRFReplicateEntry) {
	if !p.initialized() {
		return
	}
	atomic.StoreUint64(&p.stats.mrfStats.LastFailedCount, uint64(len(entries)))
	if len(entries) == 0 {
		return
	}

	v := MRFReplicateEntries{
		Entries: entries,
		Version: mrfMetaVersion,
	}

has been deprecated as part of the deprecation of Heapster. Instead, you may use the [metrics server](https://github.com/kubernetes-incubator/metrics-server). It's a simplified heapster that is able to gather and serve current metrics values. It provides the Metrics API that is used by `kubectl top`, and horizontal pod autoscaler. Note that it doesn't include some features of Heapster, such as short term metrics for graphs in kube-dashboard and dedicated push sinks, which proved hard to maintain and...

- The nftables kube-proxy mode now has its own metrics rather than reporting
  metrics with "iptables" in their names. ([#124557](https://github.com/kubernetes/kubernetes/pull/124557), [@danwinship](https://github.com/danwinship)) [SIG Network and Windows]

				MetricV2{
					Description: getMinioProcessIOReadBytesMD(),
					Value:       float64(io.ReadBytes),
				})
		}

		if io.WriteBytes > 0 {
			metrics = append(metrics,
				MetricV2{
					Description: getMinioProcessIOWriteBytesMD(),
					Value:       float64(io.WriteBytes),
				})
		}

		if io.RChar > 0 {
			metrics = append(metrics,
				MetricV2{

)

const (
	prometheusMetricsPathLegacy     = "/prometheus/metrics"
	prometheusMetricsV2ClusterPath  = "/v2/metrics/cluster"
	prometheusMetricsV2BucketPath   = "/v2/metrics/bucket"
	prometheusMetricsV2NodePath     = "/v2/metrics/node"
	prometheusMetricsV2ResourcePath = "/v2/metrics/resource"

	// Metrics v3 endpoints
	metricsV3Path = "/metrics/v3"
)

// Standard env prometheus auth type
const (

type minioCollector struct {
	desc *prometheus.Desc
}

// Describe sends the super-set of all possible descriptors of metrics
func (c *minioCollector) Describe(ch chan<- *prometheus.Desc) {
	ch <- c.desc
}

// Collect is called by the Prometheus registry when collecting metrics.
func (c *minioCollector) Collect(ch chan<- prometheus.Metric) {
	// Expose MinIO's version information

)

// Collector paths.
//
// These are paths under the top-level /minio/metrics/v3 metrics endpoint. Each
// of these paths returns a set of V3 metrics.
//
// Per-bucket metrics endpoints always start with /bucket and the bucket name is
// appended to the path. e.g. if the collector path is /bucket/api, the endpoint
// for the bucket "mybucket" would be /minio/metrics/v3/bucket/api/mybucket
const (

- `scheduler`: handling of unschedulable pods because a `ResourceClass` is missing
  is a bit more efficient and no longer relies on periodic retries. ([#120213](https://github.com/kubernetes/kubernetes/pull/120213), [@pohly](https://github.com/pohly))

## Dependencies

### Added
- cloud.google.com/go/dataproc/v2: v2.0.1

			ttfbHist.With(prometheus.Labels{"api": obs.label}).Observe(obs.val)
		}
	}

	metrics := getHistogramMetrics(ttfbHist, getBucketTTFBDistributionMD(), false)
	// additional labels for +Inf for all histogram metrics
	if expPoints := len(labels) * (len(histBuckets) + 1); expPoints != len(metrics) {
		t.Fatalf("Expected %v data points but got %v", expPoints, len(metrics))
	}