}

// MetricsGroup - represents a group of metrics. It includes a `MetricsLoaderFn`
// function that provides a way to load the metrics from the system. The metrics
// are cached and refreshed after a given timeout.
//
// For metrics with a `bucket` dimension, a list of buckets argument is required
// to collect the metrics.
//
// It implements the prometheus.Collector interface for metric groups without a

      - [Network](#network)
      - [Node](#node)
      - [Storage](#storage)
    - [Deprecations and Removals](#deprecations-and-removals)
    - [Metrics Changes](#metrics-changes)
      - [Added metrics](#added-metrics)
      - [Deprecated/changed metrics](#deprecated/changed-metrics)
    - [Notable Features](#notable-features)
      - [Stable](#stable)
      - [Beta](#beta)
      - [Alpha](#alpha)
- [v1.15.0-beta.1](#v1150-beta1)

### Pod resource metrics

On-demand metrics calculation is now available through `/metrics/resources`. [When enabled](
https://docs.k8s.io/concepts/cluster-administration/system-metrics#kube-scheduler-metrics), the endpoint will report the requested resources and the desired limits of all running pods.

### Introducing `RootCAConfigMap`

      - [Storage](#storage)
    - [Deprecations and Removals](#deprecations-and-removals)
    - [Metrics Changes](#metrics-changes)
      - [Added metrics](#added-metrics)
      - [Removed metrics](#removed-metrics)
      - [Deprecated/changed metrics](#deprecated/changed-metrics)
    - [Notable Features](#notable-features)
      - [Beta](#beta)
      - [Alpha](#alpha)

After Prometheus is configured, you can use Grafana to visualize MinIO metrics. Refer the [document here to setup Grafana with MinIO prometheus metrics](https://github.com/minio/minio/blob/master/docs/metrics/prometheus/grafana/README.md).

## List of metrics exposed by MinIO

- MinIO exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`. 

pillow==11.0.0
# For image processing by Material for MkDocs
cairosvg==2.7.1
mkdocstrings[python]==0.26.1
griffe-typingdoc==0.2.7
# For griffe, it formats with black
black==24.3.0
mkdocs-macros-plugin==1.0.5

    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \

    branches: [master]
  schedule:
    - cron: '0 11 * * 4'

jobs:
  analyze:
    name: Analyze
    runs-on: ubuntu-latest

    strategy:
      fail-fast: false
      matrix:
        # Override automatic language detection by changing the below list
        # Supported options are ['csharp', 'cpp', 'go', 'java', 'javascript', 'python']
        language: ['java']
        # Learn more...

	internodeRecvBytesTotalMD = NewCounterMD(internodeRecvBytesTotal,
		"Total number of bytes received from other peer nodes")
)

// loadNetworkInternodeMetrics - reads internode network metrics.
//
// This is a `MetricsLoaderFn`.
func loadNetworkInternodeMetrics(ctx context.Context, m MetricValues, _ *metricsCache) error {
	connStats := globalConnStats.toServerConnStats()
	rpcStats := rest.GetRPCStats()

		cpuNiceVal := math.Round(ts.Nice/tot*100*100) / 100
		m.Set(sysCPUNice, cpuNiceVal)
		cpuStealVal := math.Round(ts.Steal/tot*100*100) / 100
		m.Set(sysCPUSteal, cpuStealVal)
	}

	// metrics-resource.go runs a job to collect resource metrics including their Avg values and
	// stores them in resourceMetricsMap. We can use it to get the Avg values of CPU idle and IOWait.
	cpuResourceMetrics, found := resourceMetricsMap[cpuSubsystem]
	if found {