)

// 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 (

// server lists all metrics that could be returned for the requested path.
//
// The (repeatable) `buckets` query parameter is a list of bucket names (or it
// could be a comma separated value) to return metrics with a bucket label.
// Bucket metrics will be returned only for the provided buckets. If no buckets
// parameter is provided, no bucket metrics are returned.

)

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

	deletes := make([]uint64, len(infos))
	writes := make([]uint64, len(infos))
	for index, di := range infos {
		deletes[index] = di.Metrics.TotalDeletes
		writes[index] = di.Metrics.TotalWrites
	}

	filter := func(list []uint64) (commonCount uint64) {
		max := 0
		signatureMap := map[uint64]int{}
		for _, v := range list {
			signatureMap[v]++
		}

# Metrics Version 3

In metrics version 3, all metrics are available under the endpoint:

```
/minio/metrics/v3
```

however, a specific path under this is required.

Metrics are organized into groups at paths **relative** to the top-level endpoint above.

## Metrics Request Handling

Each endpoint below can be queried at different intervals as needed via a scrape configuration in Prometheus or a compatible metrics collection tool.

func (m *batchJobMetrics) report(jobID string) (metrics *madmin.BatchJobMetrics) {
	metrics = &madmin.BatchJobMetrics{CollectedAt: time.Now(), Jobs: make(map[string]madmin.JobMetric)}
	m.RLock()
	defer m.RUnlock()

	if jobID != "" {
		if job, ok := m.metrics[jobID]; ok {
			metrics.Jobs[jobID] = job.metric()
		}
		return metrics
	}

	for id, job := range m.metrics {
		metrics.Jobs[id] = job.metric()
	}

	BackendInfo() madmin.BackendInfo
	Legacy() bool // Only returns true for deployments which use CRCMOD as its object distribution algorithm.
	StorageInfo(ctx context.Context, metrics bool) StorageInfo
	LocalStorageInfo(ctx context.Context, metrics bool) StorageInfo

	// Bucket operations.
	MakeBucket(ctx context.Context, bucket string, opts MakeBucketOptions) error

In this case, if you had **multiple containers**, by default, when Prometheus came to **read the metrics**, it would get the ones for **a single container each time** (for the container that handled that particular request), instead of getting the **accumulated metrics** for all the replicated containers.

		sm.ReplicaSize += peer.ReplicaSize
		sm.Proxied.Add(madmin.ReplProxyMetric(peer.Proxied))
		for dID, v := range peer.Metrics {
			v2, ok := sm.Metrics[dID]
			if !ok {
				v2 = madmin.SRMetric{}
				v2.Failed.ErrCounts = make(map[string]int)
			}

			// use target endpoint metrics from node which has been up the longest
			if v2.LastOnline.After(v.LastOnline) || v2.LastOnline.IsZero() {

func (z *erasureServerPools) LocalStorageInfo(ctx context.Context, metrics bool) StorageInfo {
	var storageInfo StorageInfo

	storageInfos := make([]StorageInfo, len(z.serverPools))
	g := errgroup.WithNErrs(len(z.serverPools))
	for index := range z.serverPools {
		index := index
		g.Go(func() error {
			storageInfos[index] = z.serverPools[index].LocalStorageInfo(ctx, metrics)
			return nil
		}, index)
	}