| your Tomcat instance is installed, you can provide a variable here such that the variable is
   | dereferenced during the build process to configure the cactus plugin.
   |
   | As noted above, profiles can be activated in a variety of ways. One way - the activeProfiles
   | section of this document (settings.xml) - will be discussed later. Another way essentially

    }

    public static void toArtifacts(
            Collection<org.apache.maven.artifact.Artifact> artifacts,
            Collection<? extends DependencyNode> nodes,
            List<String> trail,
            DependencyFilter filter) {
        for (DependencyNode node : nodes) {
            org.apache.maven.artifact.Artifact artifact = toArtifact(node.getDependency());

            List<String> nodeTrail = new ArrayList<>(trail.size() + 1);

  optional int32 numberMisscheduled = 2;

  // The total number of nodes that should be running the daemon
  // pod (including nodes correctly running the daemon pod).
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
  optional int32 desiredNumberScheduled = 3;

  // numberReady is the number of nodes that should be running the daemon pod and have one

  // NodeTaintsPolicy indicates how we will treat node taints when calculating
  // pod topology spread skew. Options are:
  // - Honor: nodes without taints, along with tainted nodes for which the incoming pod
  // has a toleration, are included.
  // - Ignore: node taints are ignored. All nodes are included.
  //
  // If this value is nil, the behavior is equivalent to the Ignore policy.

- When you create your backup job, choose the backup repository you created above.

## Test the setup

The next time the backup job runs, you can use the  `mc admin trace myminio` command and verify traffic is flowing to the MinIO nodes. For Veeam Backup and Replication you will need to wait for the backup to complete to the performance tier before it migrates data to the capacity tier (i.e., MinIO).

```

E esses modelos estão compartilhando muitos dos dados e duplicando nomes e tipos de atributos.

Nós poderíamos fazer melhor.

```Python hl_lines="19-24 28"
{!../../docs_src/additional_responses/tutorial002.py!}
```

/// note | "Remarque"

Notez que vous devez retourner l'image en utilisant directement un `FileResponse`.

///

/// info

func (sys *NotificationSys) DownloadProfilingData(ctx context.Context, writer io.Writer) (profilingDataFound bool) {
	// Initialize a zip writer which will provide a zipped content
	// of profiling data of all nodes
	zipWriter := zip.NewWriter(writer)
	defer zipWriter.Close()

	// Start by embedding cluster info.
	if b := getClusterMetaInfo(ctx); len(b) > 0 {

## Máquina Servidora e Programa Servidor

Existe um pequeno detalhe sobre estes nomes para se manter em mente. 💡

A palavra "**servidor**" é comumente usada para se referir tanto ao computador remoto/nuvem (a máquina física ou virtual) quanto ao programa que está sendo executado nessa máquina (por exemplo, Uvicorn).

Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.