Name:      sizeDistribution,
		Help:      "Distribution of object sizes across a cluster",
		Type:      histogramMetric,
	}
}

func getClusterObjectVersionsMD() MetricDescription {
	return MetricDescription{
		Namespace: clusterMetricNamespace,
		Subsystem: objectsSubsystem,
		Name:      versionDistribution,
		Help:      "Distribution of object versions across a cluster",
		Type:      histogramMetric,
	}
}

		return true
	}

	return false
}

// Converts network error to storageErr. This function is
// written so that the storageAPI errors are consistent
// across network disks.
func toStorageErr(err error) error {
	if err == nil {
		return nil
	}

	if isNetworkError(err) {
		return errDiskNotFound
	}

	switch err.Error() {
	case errUploadIDNotFound.Error():

declaratively. It handles versioning, multiple simultaneous rollouts,
aggregating status across all pods, maintaining application availability, and
rollback.
  * <strong>Automated cluster management: </strong>
     * Kubernetes clusters can now span zones within a cloud provider. Pods from a
service will be automatically spread across zones, enabling applications to
tolerate zone failure.

		}
		m.VariableLabels[serverName] = globalLocalNodeName
		res = append(res, &m)
		return true
	})
	return aoMetricsGroup.NewWith(res), nil
}

// GetPeerMetrics gets the metrics to be federated across peers.
func (s *peerRESTServer) GetPeerMetrics(_ *grid.MSS) (*grid.Array[*MetricV2], *grid.RemoteErr) {
	res := make([]*MetricV2, 0, len(peerMetricsGroups))
	populateAndPublish(peerMetricsGroups, func(m MetricV2) bool {

You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc.

## Recap { #recap }

You have been reading here some of the main concepts that you would probably need to keep in mind when deciding how to deploy your application:

* Security - HTTPS

for a work that has been modified or installed by the recipient, or for
the User Product in which it has been modified or installed.  Access to a
network may be denied when the modification itself materially and
adversely affects the operation of the network or violates the rules and
protocols for communication across the network.

  Corresponding Source conveyed, and Installation Information provided,

    freshness.incrementAndGet();
    return proxy;
  }

  /**
   * Generates an instance for {@code type} using the current {@link #freshness}. The generated
   * instance may or may not be unique across different calls.
   */
  private @Nullable Object generate(TypeToken<?> type) {
    Class<?> rawType = type.getRawType();
    List<Object> samples = sampleInstances.get(rawType);

            // that the temporary file is in the same file system as the destination because the
            // File.renameTo operation doesn't really work across file systems.
            // So we will attempt to do a File.renameTo for efficiency and atomicity, if this fails
            // then we will use a brute force copy and delete the temporary file.

Federated Jobs that are automatically deployed to multiple clusters
are now supported. Cluster selection and weighting determine how Job
parallelism and completions are spread across clusters. Federated Job
status reflects the aggregate status across all underlying cluster
jobs.

#### [alpha] Federated Horizontal Pod Autoscaling (HPA)

Federated HPAs are similar to the traditional Kubernetes HPAs, except

 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *
 * <p>Note that this implementation is not synchronized. If multiple threads access this table
 * concurrently and one of the threads modifies the table, it must be synchronized externally.
 *
 * @author Jared Levy
 */
@GwtCompatible