"Reduced redundancy storage class parity")
	configStandardParityMD = NewGaugeMD(configStandardParity,
		"Standard storage class parity")
)

// loadClusterConfigMetrics - `MetricsLoaderFn` for cluster config
// such as standard and RRS parity.
func loadClusterConfigMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {
	clusterDriveMetrics, err := c.clusterDriveMetrics.Get()
	if err != nil {

	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,

    fi
  done
}

# load_cluster_topology function reads cluster configuration topology file and
# sets up environment variables used by other functions. So this should be called
# before anything else.
#
# Note: Cluster configuration topology file specifies basic configuration of each
# KinD cluster like its name, pod and service subnets and network_id. If two cluster

                  "uid": "$datasource"
               },
               "expr": "sum by (cluster, namespace, job) (\n    rate(\n        process_cpu_seconds_total{\n            cluster=~\"$cluster\",\n            namespace=~\"$namespace\",\n            job=~\"$job\"\n        }\n    [$__rate_interval])\n)\n",
               "intervalFactor": 2,
               "legendFormat": "{{cluster}} - {{namespace}}\n"
            }
         ],
         "title": "CPU Usage",

clusters:
- cluster:
    certificate-authority-data: Y2FEYXRh
    server: https://1.2.3.4
  name: {cluster}
contexts:
- context:
    cluster: {cluster}
    user: {cluster}
  name: {cluster}
current-context: {cluster}
kind: Config
preferences: {}
users:
- name: {cluster}
  user:
    token: token
`, "{cluster}", fakeClusterName)

	cases := []struct {

		Clusters: map[string]*api.Cluster{
			clusterName: cluster,
		},
		AuthInfos: map[string]*api.AuthInfo{
			userName: {
				Token: string(token),
			},
		},
		Contexts: map[string]*api.Context{
			contextName: {
				AuthInfo: userName,
				Cluster:  clusterName,
			},
		},
		CurrentContext: contextName,
	}

	lcfg, err := latest.Scheme.ConvertToVersion(kcfg, latest.ExternalVersion)

  istioctl proxy-config clusters <pod-name[.namespace]> --port 9080

  # Retrieve full cluster dump for clusters that are inbound with a FQDN of details.default.svc.cluster.local.
  istioctl proxy-config clusters <pod-name[.namespace]> --fqdn details.default.svc.cluster.local --direction inbound -o json

  # Retrieve cluster summary without using Kubernetes API
  ssh <user@hostname> 'curl localhost:15000/config_dump' > envoy-config.json

      'namespace',
      'process_cpu_seconds_total{cluster=~"$%s"}' % self.cluster.name,
    )
    + var.query.withRefresh('time'),

  job:
    var.query.new('job')
    + var.query.withDatasourceFromVariable(self.datasource)
    + var.query.queryTypes.withLabelValues(
      'job',
      'process_cpu_seconds_total{cluster=~"$%s", namespace=~"$%s"}'
      % [
        self.cluster.name,
        self.namespace.name,
      ],
    )

    home: https://min.io
    icon: https://min.io/resources/img/logo/MINIO_wordmark.png
    keywords:
    - minio
    - storage
    - object-storage
    - s3
    - cluster
    maintainers:
    - email: ******@****.***
      name: MinIO, Inc
    name: minio
    sources:
    - https://github.com/minio/minio
    urls:
    - https://charts.min.io/helm-releases/minio-5.3.0.tgz

Example: Limit a MinIO cluster to accept at max 1600 simultaneous S3 API requests across all nodes of the cluster.

```sh
export MINIO_API_REQUESTS_MAX=1600
export MINIO_ROOT_USER=your-access-key