)

var fmtGenFlags = []cli.Flag{
	cli.IntFlag{
		Name:  "parity",
		Usage: "specify erasure code parity",
	},
	cli.StringFlag{
		Name:  "deployment-id",
		Usage: "deployment-id of the MinIO cluster for which format.json is needed",
	},
	cli.StringFlag{
		Name:   "address",
		Value:  ":" + GlobalMinioDefaultPort,
		Usage:  "bind to a specific ADDRESS:PORT, ADDRESS can be an IP or hostname",
		EnvVar: "MINIO_ADDRESS",

		xhttp.Flush(w)

		select {
		case <-ticker.C:
		case <-done:
			return
		}
	}
}

// DataUsageInfoHandler - GET /minio/admin/v3/datausage?capacity={true}
// ----------
// Get server/cluster data usage info
func (a adminAPIHandlers) DataUsageInfoHandler(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	objectAPI, _ := validateAdminReq(ctx, w, r, policy.DataUsageInfoAdminAction)

fi
if [ "x$FESS_MAX_MEM" = "x" ]; then
    FESS_MAX_MEM=2g
fi
if [ "x$FESS_HEAP_SIZE" != "x" ]; then
    FESS_MIN_MEM=$FESS_HEAP_SIZE
    FESS_MAX_MEM=$FESS_HEAP_SIZE
fi

# External opensearch cluster
#SEARCH_ENGINE_HTTP_URL=http://localhost:9200
#FESS_DICTIONARY_PATH=/var/lib/opensearch/config/

# SSL truststore for certificate validation over https

    /**
     * Share capability indicating scale-out support.
     */
    public static final int SMB2_SHARE_CAP_SCALEOUT = 0x20;

    /**
     * Share capability indicating cluster support.
     */
    public static final int SMB2_SHARE_CAP_CLUSTER = 0x40;

    /**
     * Share capability indicating asymmetric support.
     */
    public static final int SMB2_SHARE_CAP_ASYMMETRIC = 0x80;

	// of profiling data of all nodes
	zipWriter := zip.NewWriter(writer)
	defer zipWriter.Close()

	// Start by embedding cluster info.
	if b := getClusterMetaInfo(ctx); len(b) > 0 {
		internalLogIf(ctx, embedFileInZip(zipWriter, "cluster.info", b, 0o600))
	}

	// Profiles can be quite big, so we limit to max 16 concurrent downloads.
	ng := WithNPeersThrottled(len(sys.peerClients), 16)

- All versioned buckets maintain the same order for "versions" for each object after being decommissioned to the other pools.
- A pool interrupted during the decommission process, such as for a cluster restart, resumes from where it left off.

## How to decommission a pool

```
λ mc admin decommission start alias/ http://minio{1...2}/data{1...4}
```

## Status decommissioning a pool

		<property name="settings">
			{"http.cors.enabled":"true",
			 "http.cors.allow-origin":"*",
			 "discovery.type":"single-node",
			 "cluster.allocator.existing_shards_allocator.batch_enabled":"true",
			 <!--
			 "node.name":"search_engine",
			 "discovery.seed_hosts":"search_engine",
			 "cluster.initial_cluster_manager_nodes":"search_engine",
			 "node.roles":"cluster_manager,data,ingest,ml",
			 -->

        }

        @Test
        @DisplayName("Should handle cluster capabilities")
        void testClusterCapabilities() throws Exception {
            Smb2TreeConnectResponse response = new Smb2TreeConnectResponse(mockConfig);

            // Test cluster capability
            setPrivateField(response, "capabilities", Smb2TreeConnectResponse.SMB2_SHARE_CAP_CLUSTER);

	replicationRecentBacklogCountMD = NewGaugeMD(replicationRecentBacklogCount,
		"Total number of objects seen in replication backlog in the last 5 minutes")
)

// loadClusterReplicationMetrics - `MetricsLoaderFn` for cluster replication metrics
// such as transfer rate and objects queued.
func loadClusterReplicationMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {
	st := globalReplicationStats.Load()
	if st == nil {

system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas...