Cluster level Replication metrics can be viewed in the Grafana dashboard using [json file here](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/replication/minio-replication-cluster.json)

![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/replication/grafana-replication-cluster.png)

			Key:         config.License,
			Type:        "string",
			Description: "Enterprise license for the cluster" + defaultHelpPostfix(config.License),
			Optional:    true,
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         config.APIKey,
			Type:        "string",
			Description: "Enterprise license API key for the cluster" + defaultHelpPostfix(config.APIKey),
			Optional:    true,
			Sensitive:   true,
		},
		config.HelpKV{

title="Eine Gruppe von Maschinen, die so konfiguriert sind, dass sie verbunden sind und auf irgendeine Weise zusammenarbeiten.">Cluster</dfn> von Maschinen mit **Kubernetes**, Docker Swarm Mode, Nomad verwenden, oder einem anderen, ähnlich komplexen System zur Verwaltung verteilter Container auf mehreren Maschinen, möchten Sie wahrscheinlich die **Replikation auf Cluster-Ebene abwickeln**, anstatt in jedem Container einen **Prozessmanager** (wie Uvicorn mit Workern) zu verwenden.

Diese...

If you have a <dfn title="A group of machines that are configured to be connected and work together in some way.">cluster</dfn> of machines with **Kubernetes**, Docker Swarm Mode, Nomad, or another similar complex system to manage distributed containers on multiple machines, then you will probably want to **handle replication** at the **cluster level** instead of using a **process manager** (like Uvicorn with workers) in each container.

você tiver um <dfn title="Um grupo de máquinas que são configuradas para estarem conectadas e trabalharem juntas de alguma forma.">cluster</dfn> de máquinas com **Kubernetes**, Docker Swarm Mode, Nomad ou outro sistema complexo semelhante para gerenciar contêineres distribuídos em várias máquinas, então provavelmente desejará **lidar com a replicação** no **nível do cluster** em vez de usar um **gerenciador de processos** (como Uvicorn com workers) em cada contêiner.

Um desses sistemas de...

#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/cluster.pb.h"
#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

namespace {

using ::tensorflow::string;

void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index) {

     */
    protected void writeFesenJson(final ZipOutputStream zos, final String id) {
        writeElastisearchJsonApi(zos, id, "cluster", "health");
        writeElastisearchJsonApi(zos, id, "cluster", "state");
        writeElastisearchJsonApi(zos, id, "cluster", "stats");
        writeElastisearchJsonApi(zos, id, "cluster", "pending_tasks");
        writeElastisearchJsonApi(zos, id, "nodes", "stats");

            "Analysis",
            "Audit",
            "Authentication",
            "Authorization",
            "Autoscaling",
            "CCR",
            "CRUD",
            "Client",
            "Cluster Coordination",
            "Discovery-Plugins",
            "Distributed",
            "EQL",
            "Engine",
            "FIPS",
            "Features/CAT APIs",
            "Features/Data streams",

- Add write and read permissions for workloads to the admin cluster role. Add write permissions for workloads to the edit cluster role. Add read permissions for workloads to the view cluster role. ([#135418](https://github.com/kubernetes/kubernetes/pull/135418), [@carlory](https://github.com/carlory)) [SIG Auth]

## MinIO Deployment on Kubernetes

There are multiple options to deploy MinIO on Kubernetes:

- MinIO-Operator: Operator offers seamless way to create and update highly available distributed MinIO clusters. Refer [MinIO Operator documentation](https://github.com/minio/minio-operator/blob/master/README.md) for more details.