Insbesondere wenn die Anwendung auf **Kubernetes** läuft, werden Sie wahrscheinlich **keine** Worker verwenden wollen, und stattdessen **einen einzelnen Uvicorn-Prozess pro Container** ausführen wollen, aber ich werde Ihnen später in diesem Kapitel mehr darüber erzählen.

///

## Mehrere Worker { #multiple-workers }

Sie können mehrere Worker mit der `--workers`-Befehlszeilenoption starten:

//// tab | `fastapi`

En particular, cuando corras en **Kubernetes** probablemente **no** querrás usar workers y en cambio correr **un solo proceso de Uvicorn por contenedor**, pero te contaré sobre eso más adelante en ese capítulo.

///

## Múltiples Workers { #multiple-workers }

Puedes iniciar múltiples workers con la opción de línea de comando `--workers`:

//// tab | `fastapi`

Si usas el comando `fastapi`:

<div class="termy">

In particular, when running on **Kubernetes** you will probably **not** want to use workers and instead run **a single Uvicorn process per container**, but I'll tell you about it later in that chapter.

///

## Multiple Workers { #multiple-workers }

You can start multiple workers with the `--workers` command line option:

//// tab | `fastapi`

If you use the `fastapi` command:

<div class="termy">

```

</div>

////

这里唯一的新选项是 `--workers` 告诉 Uvicorn 启动 4 个工作进程。

您还可以看到它显示了每个进程的 **PID**，父进程（这是**进程管理器**）的 PID 为`27365`，每个工作进程的 PID 为：`27368`、`27369`， `27370`和`27367`。

## 部署概念

在这里，您学习了如何使用多个**工作进程（workers）**来让应用程序的执行**并行化**，充分利用 CPU 的**多核性能**，并能够处理**更多的请求**。

从上面的部署概念列表来看，使用worker主要有助于**复制**部分，并对**重新启动**有一点帮助，但您仍然需要照顾其他部分：

* **安全 - HTTPS**
* **启动时运行**

///

## Vários trabalhadores { #multiple-workers }

Você pode iniciar vários trabalhadores com a opção de linha de comando `--workers`:

//// tab | `fastapi`

Se você usar o comando `fastapi`:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> run --workers 4 <u style="text-decoration-style:solid">main.py</u>

	recordsRead int                       // number of records read in current slice
	input       chan *queueItem           // input for workers
	queue       chan *queueItem           // output from workers in order
	err         error                     // global error state, only touched by Reader.Read
	bufferPool  bpool.Pool[[]byte]        // pool of []byte objects for input

* Modèles **SQLAlchemy** (indépendants des extensions Flask, afin qu'ils puissent être utilisés directement avec des *workers* Celery).
* Modèle de démarrages basiques pour les utilisateurs (à modifier et supprimer au besoin).
* Migrations **Alembic**.
* **CORS** (partage des ressources entre origines multiples, ou *Cross Origin Resource Sharing*).
* *Worker* **Celery** pouvant importer et utiliser les modèles et le code du reste du backend.

	recordsRead  int                    // number of records read in current slice
	input        chan *queueItem        // input for workers
	queue        chan *queueItem        // output from workers in order
	err          error                  // global error state, only touched by Reader.Read
	bufferPool   bpool.Pool[[]byte]     // pool of []byte objects for input

}

func newHealRoutine() *healRoutine {
	workers := runtime.GOMAXPROCS(0) / 2

	if envHealWorkers := env.Get("_MINIO_HEAL_WORKERS", ""); envHealWorkers != "" {
		if numHealers, err := strconv.Atoi(envHealWorkers); err != nil {
			bugLogIf(context.Background(), fmt.Errorf("invalid _MINIO_HEAL_WORKERS value: %w", err))
		} else {
			workers = numHealers
		}
	}

	if workers == 0 {
		workers = 4
	}

	transitionWorkers = "transition_workers"
	expirationWorkers = "expiration_workers"
	// EnvILMTransitionWorkers env variable to configure number of transition workers
	EnvILMTransitionWorkers = "MINIO_ILM_TRANSITION_WORKERS"
	// EnvILMExpirationWorkers env variable to configure number of expiration workers
	EnvILMExpirationWorkers = "MINIO_ILM_EXPIRATION_WORKERS"
)

var (
	defaultHelpPostfix = func(key string) string {