if metric.Description.Type == histogramMetric {
		if metric.Histogram == nil {
			return
		}
		for k, v := range metric.Histogram {
			pmetric, err := prometheus.NewConstMetric(
				prometheus.NewDesc(
					prometheus.BuildFQName(string(metric.Description.Namespace),
						string(metric.Description.Subsystem),

			// herd upon start up sequence.
			time.Sleep(25*time.Millisecond + time.Duration(rand.Int63n(int64(100*time.Millisecond))))
			retries++
			// after 20 retries start logging that servers are not reachable yet
			if retries >= 20 {
				logger.Info(fmt.Sprintf("Waiting for at least %d remote servers with valid configuration to be online", len(clnts)/2))
				if len(offlineEndpoints) > 0 {

	prometheus.MustRegister(minioVersionInfo)
}

// newMinioCollector describes the collector
// and returns reference of minioCollector
// It creates the Prometheus Description which is used
// to define metric and  help string
func newMinioCollector() *minioCollector {
	return &minioCollector{
		desc: prometheus.NewDesc("minio_stats", "Statistics exposed by MinIO server", nil, nil),
	}
}

The command will generate the `scrape_configs` section of the prometheus.yml as follows:

##### Cluster

    - "9000"
    - "9001"
  # environment:
    # MINIO_ROOT_USER: minioadmin
    # MINIO_ROOT_PASSWORD: minioadmin
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1

          "format": "time_series",
          "instant": true,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "{{instance}}",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],
      "title": "Uptime",
      "type": "stat"
    },
    {
      "datasource": {

	startTime := time.Now()
	return func() {
		duration := time.Since(startTime)

		atomic.AddUint64(&o.operations[s], 1)
		o.latency[s].add(duration)
	}
}

// incTime will increment time on metric s with a specific duration.
func (o *osMetrics) incTime(s osMetric, d time.Duration) {
	atomic.AddUint64(&o.operations[s], 1)
	o.latency[s].add(d)
}

			// windows, because windows API does not return "not a
			// directory" error message. Handle this specifically
			// here.
			return errFileAccessDenied
		}
	}
	return err
}

// Reliably retries os.RemoveAll if for some reason os.RemoveAll returns
// syscall.ENOTEMPTY (children has files).
func reliableRemoveAll(dirPath string) (err error) {
	i := 0
	for {
		// Removes all the directories and files.

			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

	// IsLocal returns true if the KMS is a local implementation
	IsLocal() bool

	// List returns an array of local KMS Names
	List() []kes.KeyInfo

	// Metrics returns a KMS metric snapshot.
	Metrics(ctx context.Context) (kes.Metric, error)

	// CreateKey creates a new key at the KMS with the given key ID.
	CreateKey(ctx context.Context, keyID string) error

	// GenerateKey generates a new data encryption key using the