apiVersion: release-notes/v2
kind: feature
area: telemetry

releaseNotes:
- |
  **Updated** the "Control Plane Dashboard" and the "Performance Dashboard" to use the `container_memory_working_set_bytes` metric
  to display memory. This metric only counts memory that *cannot be reclaimed* by the kernel even under memory pressure,
  and therefore more relevant for tracking. It is also consistent with `kubectl top`. The reported values are lower than

// Returns "/tensorflow/core/saved_model/write/count" cell. This metric
// has 1 field "write_version", which is equal to the
// `tensorflow::libexport::GetWriteVersion` of the protobuf and should be
// incremented when a SavedModel has been successfully written.
monitoring::CounterCell& SavedModelWriteCount(absl::string_view write_version);

// Returns "/tensorflow/core/saved_model/read/count" cell. This metric
// has 1 field "write_version", which is equal to the

 *
 * Promoting the stability level of the metric is a responsibility of the component owner, since it
 * involves explicitly acknowledging support for the metric across multiple releases, in accordance with
 * the metric stability policy.
 */

var StorageOperationMetric = metrics.NewHistogramVec(
	&metrics.HistogramOpts{

Each metric key also has a "kind" (see [ValueKind]) that describes the format of the
metric's value.
In the interest of not breaking users of this package, the "kind" for a given metric
is guaranteed not to change. If it must change, then a new metric will be introduced
with a new key and a new "kind."

# Metric key format

As mentioned earlier, metric keys are strings. Their format is simple and well-defined,

					// Ignore sample if pod is unready or one window of metric wasn't collected since last state transition.
					unready = condition.Status == v1.ConditionFalse || metric.Timestamp.Before(condition.LastTransitionTime.Time.Add(metric.Window))
				} else {
					// Ignore metric if pod is unready and it has never been ready.

		err          error
		netlinkCalls int
	}{
		{
			name:        "valid",
			counterName: "metric-1",
			handler:     &fakeHandler{},
			// expected calls: NFNL_MSG_ACCT_NEW
			netlinkCalls: 1,
		},
		{
			name:        "add duplicate counter",
			counterName: "metric-2",
			handler: &fakeHandler{
				errs: []error{syscall.EBUSY},
			},
			err: ErrObjectAlreadyExists,

		})
		return metrics
	})
	return mg
}

func collectMetric(metric MetricV2, labels []string, values []string, metricName string, out chan<- prometheus.Metric) {
	if metric.Description.Type == histogramMetric {
		if metric.Histogram == nil {
			return
		}
		for k, v := range metric.Histogram {
			pmetric, err := prometheus.NewConstMetric(
				prometheus.NewDesc(

	register.Do(func() {
		registerMetrics(metricsList...)
	})
}

// RegisterMetrics registers a list of metrics.
func registerMetrics(extraMetrics ...metrics.Registerable) {
	for _, metric := range extraMetrics {
		legacyregistry.MustRegister(metric)
	}

			t = &m
		}

		mx[Total] = *t
		metric := SRMetric{
			ReplicatedSize:  v.ReplicatedSize,
			ReplicatedCount: v.ReplicatedCount,
			DeploymentID:    dID,
			Failed:          v.Failed.toMetric(),
			XferStats:       mx,
		}
		epHealth, ok := epMap[v.Endpoint]
		if ok {
			metric.Endpoint = epHealth.Endpoint
			metric.TotalDowntime = epHealth.offlineDuration
			metric.LastOnline = epHealth.lastOnline

	MetricRotationInterval = env.Register("METRIC_ROTATION_INTERVAL", 0*time.Second,
		"Metric scope rotation interval, set to 0 to disable the metric scope rotation").Get()
	MetricGracefulDeletionInterval = env.Register("METRIC_GRACEFUL_DELETION_INTERVAL", 5*time.Minute,
		"Metric expiry graceful deletion interval. No-op if METRIC_ROTATION_INTERVAL is disabled.").Get()