}

	key := getResourceKey(name, labels)
	metric, found := subsysMetrics[key]
	if !found {
		metric = ResourceMetric{
			Name:   name,
			Labels: labels,
		}
	}

	if isCumulative {
		metric.Current = val - metric.Cumulative
		metric.Cumulative = val
	} else {
		metric.Current = val
	}

	if metric.Current > metric.Max {
		metric.Max = val
	}

	metric.Sum += metric.Current

			return metrics
		}

		metrics = make([]MetricV2, 0, 5)
		metrics = append(metrics, MetricV2{
			Description: getHealLastActivityTimeMD(),
			Value:       float64(time.Since(bgSeq.lastHealActivity)),
		})
		metrics = append(metrics, getObjectsScanned(bgSeq)...)
		metrics = append(metrics, getHealedItems(bgSeq)...)
		metrics = append(metrics, getFailedItems(bgSeq)...)
		return metrics
	})
	return mg

import (
	"context"
	"sync"
	"time"

	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio/internal/cachevalue"
)

// metricsCache - cache for metrics.
//
// When serving metrics, this cache is passed to the MetricsLoaderFn.
//
// This cache is used for metrics that would result in network/storage calls.
type metricsCache struct {
	dataUsageInfo       *cachevalue.Cache[DataUsageInfo]

Klaus Post <******@****.***> 1759093161 +0200

# Cluster Metrics

MinIO collects the following metrics at the cluster level.
Metrics may include one or more labels, such as the server that calculated that metric.

These metrics can be obtained from any MinIO server once per collection by using the following URL:

```shell
https://HOSTNAME:PORT/minio/v2/metrics/cluster
```

Replace ``HOSTNAME:PORT`` with the hostname of your MinIO deployment.

			return
		}
	}
}

// Metrics contains metrics about the authentication plugin service.
type Metrics struct {
	LastReachableSecs, LastUnreachableSecs float64

	// Last whole minute stats
	TotalRequests, FailedRequests int64
	AvgSuccRTTMs                  float64
	MaxSuccRTTMs                  float64
}

	scannerMetricCleanAbandoned
	scannerMetricApplyNonCurrent
	scannerMetricHealAbandonedVersion

	// START Trace metrics:
	scannerMetricStartTrace
	scannerMetricScanObject // Scan object. All operations included.
	scannerMetricHealAbandonedObject

	// END realtime metrics:
	scannerMetricLastRealtime

	// Trace only metrics:
	scannerMetricScanFolder      // Scan a folder on disk, recursively.

    }

    private void performDynamicThresholdAdjustment() {
        try {
            RollingWindow.WindowMetrics metrics = rollingWindow.getMetrics();
            double failureRate = metrics.getFailureRate();
            long avgResponseTime = metrics.getAverageResponseTime();

            // Adjust threshold based on failure rate and response time trends

0002 0.554 connectionReleased
0002 0.554 callEnd
0001 0.624 responseBodyEnd
0001 0.624 connectionReleased
0001 0.624 callEnd
```

The `EventListener.Factory` also makes it possible to limit metrics to a subset of calls. This one captures metrics on a random 10%:

```java
class MetricsEventListener extends EventListener {
  private static final Factory FACTORY = new Factory() {
    @Override public EventListener create(Call call) {

func (t *tierMetrics) Report() []MetricV2 {
	metrics := getHistogramMetrics(t.histogram, tierTTLBMD, true, true)
	t.RLock()
	defer t.RUnlock()
	for tier, stat := range t.requestsCount {
		metrics = append(metrics, MetricV2{
			Description:    tierRequestsSuccessMD,
			Value:          float64(stat.success),
			VariableLabels: map[string]string{"tier": tier},
		})
		metrics = append(metrics, MetricV2{