// Tier stats
		adminRouter.Methods(http.MethodGet).Path(adminVersion + "/tier-stats").HandlerFunc(adminMiddleware(adminAPI.TierStatsHandler))

		// Cluster Replication APIs
		adminRouter.Methods(http.MethodPut).Path(adminVersion + "/site-replication/add").HandlerFunc(adminMiddleware(adminAPI.SiteReplicationAdd))

Honestly this is kind of in flux and we're not 100% sure where we'll end up.
Right now the directory contains
* Tests that require multiple modules or plugins to work
* Tests that form a cluster made up of multiple versions of Elasticsearch like
full cluster restart, rolling restarts, and mixed version tests
* Tests that test the Elasticsearch clients in "interesting" places like the
`wildfly` project.

	// Captures help for each sub-system
	helpSubSys := config.HelpKVS{
		config.HelpKV{
			Key:         config.SubnetSubSys,
			Type:        "string",
			Description: "register Enterprise license for the cluster",
			Optional:    true,
		},
		config.HelpKV{
			Key:         config.CallhomeSubSys,
			Type:        "string",
			Description: "enable callhome to MinIO SUBNET",
			Optional:    true,
		},

type BucketRemoteIdenticalToSource struct {
	GenericError
	Endpoint string
}

func (e BucketRemoteIdenticalToSource) Error() string {
	return fmt.Sprintf("Remote service endpoint %s is self referential to current cluster", e.Endpoint)
}

// BucketRemoteAlreadyExists remote already exists for this target type.
type BucketRemoteAlreadyExists GenericError

func (e BucketRemoteAlreadyExists) Error() string {

	return err
}

// RestoreTransitionedObject - restore transitioned object content locally on this cluster.
// This is similar to PostObjectRestore from AWS GLACIER
// storage class. When PostObjectRestore API is called, a temporary copy of the object
// is restored locally to the bucket on source cluster until the restore expiry date.
// The copy that was transitioned continues to reside in the transitioned tier.

If you're migrating from a standalone Elasticsearch or OpenSearch deployment:

#### Document Migration

**Step 1: Export from Source**

Export documents from your existing Elasticsearch/OpenSearch cluster:

```bash
# Using elasticdump
elasticdump \
  --input=http://old-es-server:9200/my-index \
  --output=documents.json \
  --type=data
```

**Step 2: Convert to Fess Format**

// A Server instance encapsulates a set of devices and a Session target that
// can participate in distributed training. A server belongs to a cluster
// (specified by a ClusterSpec), and corresponds to a particular task in a
// named job. The server can communicate with any other server in the same
// cluster.

// In-process TensorFlow server.
typedef struct TF_Server TF_Server;

		Description:    "Cannot add remote target endpoint since this server is in a cluster replication setup",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrReplicationDenyEditError: {
		Code:           "XMinioReplicationDenyEdit",
		Description:    "Cannot alter local replication config since this server is in a cluster replication setup",
		HTTPStatusCode: http.StatusBadRequest,
	},

	return obj, nil
}

// transition object to target specified by the transition ARN. When an object is transitioned to another
// storage specified by the transition ARN, the metadata is left behind on source cluster and original content
// is moved to the transition tier. Note that in the case of encrypted objects, entire encrypted stream is moved
// to the transition tier without decrypting or re-encrypting.

func isDirObject(object string) bool {
	if obj := encodeDirObject(object); obj != object {
		object = obj
	}
	return HasSuffix(object, globalDirSuffix)
}

// Helper method to return total number of nodes in cluster
func totalNodeCount() int {
	totalNodesCount := len(globalEndpoints.Hostnames())
	if totalNodesCount == 0 {
		totalNodesCount = 1 // For standalone erasure coding
	}
	return totalNodesCount
}