`data_service_ops.distribute`. Users can specify `"AUTO"`, `"ANY"`, or
        `"LOCAL"` (case insensitive). If `"AUTO"`, tf.data service runtime
        decides which workers to read from. If `"ANY"`, TF workers read from any
        tf.data service workers. If `"LOCAL"`, TF workers will only read from
        local in-processs tf.data service workers. `"AUTO"` works well for most

				return
			}
			mw.Flush()
		}
	}()
	err = s.getStorage().ReadMultiple(r.Context(), req, responses)
	wg.Wait()
	rw.CloseWithError(err)
}

// globalLocalSetDrives is used for local drive as well as remote REST
// API caller for other nodes to talk to this node.
//
// Any updates to this must be serialized via globalLocalDrivesMu (locker)
var globalLocalSetDrives [][][]StorageAPI

Então, nesse caso, poderia ser mais simples ter **um único contêiner** com **múltiplos processos**, e uma ferramenta local (por exemplo, um exportador do Prometheus) no mesmo contêiner coletando métricas do Prometheus para todos os processos internos e expor essas métricas no único contêiner.

---

labels.plugin_name=Name
labels.plugin_version=Version
labels.plugin_delete=Delete
labels.plugin_install=Install
labels.plugin_install_title=Install Plugin
labels.plugin_jar_file=Jar File
labels.plugin_local_install=Local
labels.plugin_remote_install=Remote
labels.crud_button_install=Install
labels.storage_configuration=Storage
labels.storage_name=Name
labels.storage_size=Size
labels.storage_last_modified=Last Modified

		return auth.ErrInvalidSecretKeyLength
	}

	return sys.store.UpdateUserSecretKey(ctx, accessKey, secretKey)
}

// purgeExpiredCredentialsForExternalSSO - validates if local credentials are still valid
// by checking remote IDP if the relevant users are still active and present.
func (sys *IAMSys) purgeExpiredCredentialsForExternalSSO(ctx context.Context) {

  // List of ingress rules to be applied to the selected pods.
  // Traffic is allowed to a pod if there are no NetworkPolicies selecting the pod
  // OR if the traffic source is the pod's local node,
  // OR if the traffic matches at least one ingress rule across all of the NetworkPolicy
  // objects whose podSelector matches the pod.
  // If this field is empty then this NetworkPolicy does not allow any traffic

	return notifyEndpoint(ctx, ri, r.Flags.Notify.Endpoint, r.Flags.Notify.Token)
}

// ReplicateFromSource - this is not implemented yet where source is 'remote' and target is local.
func (r *BatchJobReplicateV1) ReplicateFromSource(ctx context.Context, api ObjectLayer, core *miniogo.Core, srcObjInfo ObjectInfo, retry bool) error {
	srcBucket := r.Source.Bucket
	tgtBucket := r.Target.Bucket

labels.plugin_name=Name
labels.plugin_version=Version
labels.plugin_delete=Delete
labels.plugin_install=Install
labels.plugin_install_title=Install Plugin
labels.plugin_jar_file=Jar File
labels.plugin_local_install=Local
labels.plugin_remote_install=Remote
labels.crud_button_install=Install
labels.storage_configuration=Storage
labels.storage_name=Name
labels.storage_size=Size
labels.storage_last_modified=Last Modified

      'HERMETIC_CUDA_COMPUTE_CAPABILITIES',
      hermetic_cuda_compute_capabilities,
  )


def set_cuda_local_path(environ_cp, dist_name, env_var):
  ask_path = (
      'Please specify the local {} path you want to use '
      'or leave empty to use the default version. '
  ).format(dist_name)
  local_path = get_from_env_or_user_or_default(
      environ_cp, env_var, ask_path, None
  )
  if local_path:

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