"targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "sum by (server) (minio_cluster_replication_received_bytes{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],

)

// loadClusterNotificationMetrics - `MetricsLoaderFn` for cluster notification metrics.
func loadClusterNotificationMetrics(_ context.Context, m MetricValues, _ *metricsCache) error {
	if globalEventNotifier == nil {
		return nil
	}

	nstats := globalEventNotifier.targetList.Stats()

		"Count of offline drives in the cluster")
	healthDrivesOnlineCountMD = NewGaugeMD(healthDrivesOnlineCount,
		"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.

	usageTotalBytesMD = NewGaugeMD(usageTotalBytes,
		"Total cluster usage in bytes")
	usageObjectsCountMD = NewGaugeMD(usageObjectsCount,
		"Total cluster objects count")
	usageVersionsCountMD = NewGaugeMD(usageVersionsCount,
		"Total cluster object versions (including delete markers) count")
	usageDeleteMarkersCountMD = NewGaugeMD(usageDeleteMarkersCount,
		"Total cluster delete markers count")
	usageBucketsCountMD = NewGaugeMD(usageBucketsCount,

  CheckRemoteMatMulExecutesOK(ctx, remote_device_name, local_device_name);

  // Adding a non-existent remote worker to cluster def. This should cause the
  // UpdateServerDef call to fail.
  tensorflow::ClusterDef* cluster_def = server_def.mutable_cluster();
  tensorflow::JobDef* job_def = cluster_def->mutable_job(0);
  int port = tensorflow::testing::PickUnusedPortOrDie();
  job_def->mutable_tasks()->insert(

		targetID)
	auditTotalMessagesMD = NewCounterMD(auditTotalMessages,
		"Total number of messages sent since start",
		targetID)
)

// loadClusterAuditMetrics - `MetricsLoaderFn` for cluster audit
// such as failed messages and total messages.
func loadClusterAuditMetrics(_ context.Context, m MetricValues, c *metricsCache) error {
	audit := logger.CurrentStats()
	for id, st := range audit {

	syncSuccessesMD                          = NewCounterMD(syncSuccesses, "Number of successful IAM data syncs since server start.")
)

// loadClusterIAMMetrics - `MetricsLoaderFn` for cluster IAM metrics.
func loadClusterIAMMetrics(_ context.Context, m MetricValues, _ *metricsCache) error {
	m.Set(lastSyncDurationMillis, float64(atomic.LoadUint64(&globalIAMSys.LastRefreshDurationMilliseconds)))

		poolIDL, setIDL)
)

func b2f(v bool) float64 {
	if v {
		return 1
	}
	return 0
}

// loadClusterErasureSetMetrics - `MetricsLoaderFn` for cluster storage erasure
// set metrics.
func loadClusterErasureSetMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {
	result, _ := c.esetHealthResult.Get()

	for istiod, clusters := range statuses {
		for _, c := range clusters {
			_, _ = fmt.Fprintf(w, "%s\t%s\t%s\t%s\n", c.ID, c.SecretName, c.SyncStatus, istiod)
		}
	}
	_ = w.Flush()
	return nil
}

func parseClusterStatuses(input map[string][]byte) (map[string][]cluster.DebugInfo, error) {
	statuses := make(map[string][]cluster.DebugInfo, len(input))
	for istiodKey, bytes := range input {

	for _, cluster := range c.clusters.ClusterStatuses {
		for _, host := range cluster.HostStatuses {
			if filter.Verify(host, cluster.Name) {
				filteredClusters = append(filteredClusters, cluster)
				break
			}
		}
	}
	out, err := json.MarshalIndent(filteredClusters, "", "    ")
	if err != nil {
		return err
	}
	if outputFormat == "yaml" {
		if out, err = yaml.JSONToYAML(out); err != nil {
			return err