./mc mb siteb/bucket/
./mc version enable siteb/bucket/

echo "adding replication rule for site a -> site b"
./mc replicate add sitea/bucket/ \
	--remote-bucket http://minio:minio123@127.0.0.1:9004/bucket

remote_arn=$(./mc replicate ls sitea/bucket --json | jq -r .rule.Destination.Bucket)
sleep 1

./mc replicate resync start sitea/bucket/ --remote-bucket "${remote_arn}"
sleep 30s ## sleep for 30s idea is that we give 300ms per object.

quantidade mais ou menos bem definida, estável e limitada de memória consumida por cada um desses contêineres (mais de um se eles forem replicados).

E então você pode definir esses mesmos limites e requisitos de memória em suas configurações para seu sistema de gerenciamento de contêineres (por exemplo, no **Kubernetes**). Dessa forma, ele poderá **replicar os contêineres** nas **máquinas disponíveis** levando em consideração a quantidade de memória necessária por eles e a quantidade disponível...

        // replaces?
        AbstractRepositoryMetadata repoMetadata = (AbstractRepositoryMetadata) metadata;
        this.metadata.merge(repoMetadata.getMetadata());
    }

    public void merge(ArtifactMetadata metadata) {
        // TODO not sure that it should assume this, maybe the calls to addMetadata should pre-merge, then artifact
        // replaces?

  LoggingDevice* device = new LoggingDevice;
  device->arrived_flag = arrived_flag;
  device->executed_flag = executed_flag;
  device->device_name = name;
  device->underlying_device = "/job:localhost/replica:0/task:0/device:CPU:0";
  device->strict_scope_placement = strict_scope_placement;
  TFE_RegisterCustomDevice(context, custom_device, name, device, status);
}

  TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle(ctx);
  TFE_TensorHandle* h1_task0 = TestMatrixTensorHandle(ctx);
  const char remote_device_name[] =
      "/job:localhost/replica:0/task:1/device:CPU:0";
  auto* h0_task1 =
      TFE_TensorHandleCopyToDevice(h0_task0, ctx, remote_device_name, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  auto* h1_task1 =

		"Total number of bytes failed at least once to replicate in the last hour on a bucket",
		bucketL)
	bucketReplLastHrFailedCountMD = NewGaugeMD(bucketReplLastHrFailedCount,
		"Total number of objects which failed replication in the last hour on a bucket",
		bucketL)
	bucketReplLastMinFailedBytesMD = NewGaugeMD(bucketReplLastMinFailedBytes,
		"Total number of bytes failed at least once to replicate in the last full minute on a bucket",
		bucketL)

// custom devices will fail.
//
// `device_name` must not name an existing physical or custom device. It must
// follow the format:
//
//    /job:<name>/replica:<replica>/task:<task>/device:<type>:<device_num>
//
// If the device is successfully registered, `status` is set to TF_OK. Otherwise
// the device is not usable. In case of a bad status, `device.delete_device` is

 - Fixes a bug defining a default value for a replicas field in a custom resource definition that has the scale subresource enabled ([#90019](https://github.com/kubernetes/kubernetes/pull/90019), [@liggitt](https://github.com/liggitt)) [SIG API Machinery, CLI, Cloud Provider, Cluster Lifecycle and Instrumentation]...

While containers provide isolated application execution environment, orchestration platforms allow seamless scaling by helping replicate and manage containers. MinIO extends this by adding isolated storage environment for each tenant.

func (r *ReplicationStats) Delete(bucket string) {
	if r == nil {
		return
	}

	r.Lock()
	defer r.Unlock()
	delete(r.Cache, bucket)
}

// UpdateReplicaStat updates in-memory replica statistics with new values.
func (r *ReplicationStats) UpdateReplicaStat(bucket string, n int64) {
	if r == nil {
		return
	}

	r.Lock()
	defer r.Unlock()
	bs, ok := r.Cache[bucket]
	if !ok {