QueueLimit        uint64    `json:"queueLimit"`
	JetStream         struct {
		Enable bool `json:"enable"`
	} `json:"jetStream"`
	Streaming struct {
		Enable             bool   `json:"enable"`
		ClusterID          string `json:"clusterID"`
		Async              bool   `json:"async"`
		MaxPubAcksInflight int    `json:"maxPubAcksInflight"`
	} `json:"streaming"`

	RootCAs *x509.CertPool `json:"-"`
}

				if cfg.Streaming.Enable {
					return config.EnableOn
				}
				return config.EnableOff
			}(),
		},
		config.KV{
			Key:   target.NATSStreamingClusterID,
			Value: cfg.Streaming.ClusterID,
		},
		config.KV{
			Key:   target.NATSStreamingAsync,
			Value: config.FormatBool(cfg.Streaming.Async),
		},
		config.KV{
			Key:   target.NATSStreamingMaxPubAcksInFlight,

			clusterIDEnv := target.EnvNATSStreamingClusterID
			if k != config.Default {
				clusterIDEnv = clusterIDEnv + config.Default + k
			}
			natsArgs.Streaming.Enable = streamingEnabled
			natsArgs.Streaming.ClusterID = env.Get(clusterIDEnv, kv.Get(target.NATSStreamingClusterID))
			natsArgs.Streaming.Async = env.Get(asyncEnv, kv.Get(target.NATSStreamingAsync)) == config.EnableOn
			natsArgs.Streaming.MaxPubAcksInflight = maxPubAcksInflight

that they span multiple clusters. Creating a Federated HPA targeting
multiple clusters ensures that cluster-level autoscalers are
consistently deployed across those clusters, and dynamically managed
to ensure that autoscaling can occur optimially in all clusters,
within a set of global constraints on the total number of replicas
permitted across all clusters.  If replicas are not

points to the public IP address where each cluster might be accessible, this is unique for each cluster.

NOTE: `mybucket` only exists on one cluster either `cluster1` or `cluster2` this is random and
is decided by how `domain.com` gets resolved, if there is a round-robin DNS on `domain.com` then
it is randomized which cluster might provision the bucket.

### 3. Test your setup

grafana-replication-cluster.png...

	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,

		"Count of offline drives in the cluster")
	healthDrivesOnlineCountMD = NewGaugeMD(healthDrivesOnlineCount,
		"Count of online drives in the cluster")
	healthDrivesCountMD = NewGaugeMD(healthDrivesCount,
		"Count of all drives in the cluster")
)

// loadClusterHealthDriveMetrics - `MetricsLoaderFn` for cluster storage drive metrics
// such as online, offline and total drives.

  ##
  subPath: ""

## Expose the MinIO service to be accessed from outside the cluster (LoadBalancer service).
## or access it from within the cluster (ClusterIP service). Set the service type and the port to serve it.
## ref: http://kubernetes.io/docs/user-guide/services/
##
service:
  type: ClusterIP
  clusterIP: ~
  port: "9000"
  nodePort: 32000
  loadBalancerIP: ~
  externalIPs: []

		"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 {