Muhtemelen bu base Docker image'ını (veya benzeri başka bir image'ı) kullanmamalısınız.

**Kubernetes** (veya diğerleri) kullanıyor ve cluster seviyesinde birden fazla **container** ile **replication** ayarlıyorsanız, bu durumda yukarıda anlatıldığı gibi **sıfırdan bir image build etmek** daha iyi olur: [FastAPI için Docker Image Oluşturalım](#build-a-docker-image-for-fastapi).

///

## 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">

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

///

## Mehrere Worker { #multiple-workers }

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

//// tab | `fastapi`

Wenn Sie den `fastapi`-Befehl verwenden:

<div class="termy">

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

	workerSize, err := strconv.Atoi(env.Get("_MINIO_BATCH_EXPIRATION_WORKERS", strconv.Itoa(runtime.GOMAXPROCS(0)/2)))
	if err != nil {
		return err
	}

	wk, err := workers.New(workerSize)
	if err != nil {
		// invalid worker size.
		return err
	}

	ctx, cancelCause := context.WithCancelCause(ctx)
	defer cancelCause(nil)

	results := make(chan itemOrErr[ObjectInfo], workerSize)
	go func() {

Aynı API programının **birden fazla process**'ini çalıştırdığınızda, bunlara genellikle **worker** denir.

### Worker Process'ler ve Port'lar { #worker-processes-and-ports }

[HTTPS hakkındaki dokümanda](https.md) bir server'da aynı port ve IP adresi kombinasyonunu yalnızca tek bir process'in dinleyebileceğini hatırlıyor musunuz?

Bu hâlâ geçerli.

/// note | Détails techniques

L'image Docker a été créée à une époque où Uvicorn ne supportait pas la gestion et le redémarrage des workers morts, il fallait donc utiliser Gunicorn avec Uvicorn, ce qui ajoutait pas mal de complexité, uniquement pour que Gunicorn gère et redémarre les processus worker Uvicorn.

コンテナ（Docker）イメージを手に入れた後、それをデプロイするにはいくつかの方法があります。

例えば以下のリストの方法です:

* 単一サーバーの**Docker Compose**
* **Kubernetes**クラスタ
* Docker Swarmモードのクラスター
* Nomadのような別のツール
* コンテナ・イメージをデプロイするクラウド・サービス

## `uv` を使ったDockerイメージ { #docker-image-with-uv }

[uv](https://github.com/astral-sh/uv) を使ってプロジェクトのインストールと管理をしている場合は、[uv Docker guide](https://docs.astral.sh/uv/guides/integration/docker/)に従ってください。

- Worked toward support for Windows Server version 1903, including adding Windows support for preserving the destination IP as the VIP when loadbalancing with DSR. ([#74825](https://github.com/kubernetes/kubernetes/pull/74825), [@ksubrmnn](https://github.com/ksubrmnn))

Und wenn Sie mehrere Worker benötigen, können Sie einfach die `--workers` Befehlszeilenoption verwenden.

/// note | Technische Details

* the task
* the background task
* the task function

* the template
* the template engine

* the type annotation
* the type hint

* the server worker
* the Uvicorn worker
* the Gunicorn Worker
* the worker process
* the worker class
* the workload

* the deployment
* to deploy

* the SDK
* the software development kit

* the `APIRouter`
* the `requirements.txt`