"datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "sum(container_memory_working_set_bytes{container=\"istio-proxy\"})",
          "format": "time_series",
          "hide": false,
          "intervalFactor": 2,
          "legendFormat": "Total (k8s)",
          "refId": "A",
          "step": 2
        }
      ],
      "title": "Memory",

			return err
		}
	}
	return nil
}

func (ies *IAMEtcdStore) loadMappedPolicyWithRetry(ctx context.Context, name string, userType IAMUserType, isGroup bool, m *xsync.MapOf[string, MappedPolicy], retries int) error {
	return ies.loadMappedPolicy(ctx, name, userType, isGroup, m)
}

		Long: `
Prints the metrics for the specified service(s) when running in Kubernetes.

This command finds a Prometheus pod running in the specified istio system
namespace. It then executes a series of queries per requested workload to
find the following top-level workload metrics: total requests per second,
error rate, and request latency at p50, p90, and p99 percentiles. The

[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 

//     endpoint: "https://notify.endpoint" # notification endpoint to receive job status events
//     token: "Bearer xxxxx" # optional authentication token for the notification endpoint

//   retry:
//     attempts: 10 # number of retries for the job before giving up
//     delay: "500ms" # least amount of delay between each retry

//go:generate msgp -file $GOFILE -unexported

// BatchKeyRotationType defines key rotation type

	if rx.Curr > rx.Peak {
		rx.Peak = rx.Curr
	}
	rx.N++
}

// ReplicationMRFStats holds stats of MRF backlog saved to disk in the last 5 minutes
// and number of entries that failed replication after 3 retries
type ReplicationMRFStats struct {
	LastFailedCount uint64 `json:"failedCount_last5min"`
	// Count of unreplicated entries that were dropped after MRF retry limit reached since cluster start.

   * sent.
   */
  private fun recover(
    e: IOException,
    call: RealCall,
    userRequest: Request,
    requestSendStarted: Boolean,
  ): Boolean {
    // The application layer has forbidden retries.
    if (!client.retryOnConnectionFailure) return false

    // We can't send the request body again.
    if (requestSendStarted && requestIsOneShot(e, userRequest)) return false

    // This exception is fatal.

	fakeIPSetDeps.AssertExpectations(t)
}

// for tests that call `runtime.GC()` - we have no control over when the GC is actually scheduled,
// and it is flake-prone to check for closure after calling it, this retries for a bit to make
// sure the netns is closed eventually.
func assertNSClosed(t *testing.T, closed *atomic.Bool) {
	for i := 0; i < 5; i++ {
		if closed.Load() {
			return
		}
		time.Sleep(1 * time.Second)

      apply {
        this.socketPolicy = socketPolicy
      }

    /**
     * Throttles the request reader and response writer to sleep for the given period after each
     * series of [bytesPerPeriod] bytes are transferred. Use this to simulate network behavior.
     */
    fun throttleBody(
      bytesPerPeriod: Long,
      period: Long,
      unit: TimeUnit,
    ) = apply {

message ExternalMetricSource {
  // metricName is the name of the metric in question.
  optional string metricName = 1;

  // metricSelector is used to identify a specific time series
  // within a given metric.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.LabelSelector metricSelector = 2;

  // targetValue is the target value of the metric (as a quantity).