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  1. docs/en/docs/deployment/docker.md

    In those cases, you can use the **official Docker image** that includes **Gunicorn** as a process manager running multiple **Uvicorn worker processes**, and some default settings to adjust the number of workers based on the current CPU cores automatically. I'll tell you more about it below in [Official Docker Image with Gunicorn - Uvicorn](#official-docker-image-with-gunicorn-uvicorn).
    
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  2. docs/de/docs/deployment/docker.md

    Und es gibt viele andere Images für verschiedene Dinge wie Datenbanken, zum Beispiel für:
    
    * <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
    * <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>
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  3. docs/ja/docs/deployment/docker.md

    ## コンテナ・イメージ
    
    Dockerは、**コンテナ・イメージ**と**コンテナ**を作成・管理するための主要なツールの1つです。
    
    そして、DockerにはDockerイメージ(コンテナ)を共有する<a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a>というものがあります。
    
    Docker Hubは 多くのツールや環境、データベース、アプリケーションに対応している予め作成された**公式のコンテナ・イメージ**をパブリックに提供しています。
    
    例えば、公式イメージの1つに<a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python Image</a>があります。
    
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  4. docs/pt/docs/deployment/docker.md

    Por exemplo, há uma <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Imagem Python</a> oficial.
    
    E existe muitas outras imagens para diferentes coisas, como bancos de dados, por exemplo:
    
    * <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
    * <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>
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  5. docs/zh/docs/deployment/docker.md

    下面一些什么时候这种做法有意义的示例:
    
    
    #### 一个简单的应用程序
    
    如果你的应用程序**足够简单**,你不需要(至少现在不需要)过多地微调进程数量,并且你可以使用自动默认值,那么你可能需要容器中的进程管理器 (使用官方 Docker 镜像),并且你在**单个服务器**而不是集群上运行它。
    
    #### Docker Compose
    
    你可以使用 **Docker Compose** 部署到**单个服务器**(而不是集群),因此你没有一种简单的方法来管理容器的复制(使用 Docker Compose),同时保留共享网络和 **负载均衡**。
    
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  6. docs/em/docs/deployment/docker.md

    &amp; 📤 📢 <a href="https://hub.docker.com/" class="external-link" target="_blank">☁ 🎡</a> ⏮️ 🏤-⚒ **🛂 📦 🖼** 📚 🧰, 🌐, 💽, &amp; 🈸.
    
    🖼, 📤 🛂 <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">🐍 🖼</a>.
    
    &amp; 📤 📚 🎏 🖼 🎏 👜 💖 💽, 🖼:
    
    * <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">✳</a>
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  7. docs/ko/docs/deployment/docker.md

    그리고 <a href="https://hub.docker.com/" class="external-link" target="_blank">도커 허브</a>에 다양한 도구, 환경, 데이터베이스, 그리고 어플리케이션에 대해 미리 만들어진 **공식 컨테이너 이미지**가 공개되어 있습니다.
    
    예를 들어, 공식 <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">파이썬 이미지</a>가 있습니다.
    
    또한 다른 대상, 예를 들면 데이터베이스를 위한 이미지들도 있습니다:
    
    * <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
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  8. cmd/local-locker.go

    // or last read lock)
    // UID and optionally owner must match for entries to be deleted.
    func (l *localLocker) removeEntry(name string, args dsync.LockArgs, lri *[]lockRequesterInfo) bool {
    	// Find correct entry to remove based on uid.
    	for index, entry := range *lri {
    		if entry.UID == args.UID && (args.Owner == "" || entry.Owner == args.Owner) {
    			if len(*lri) == 1 {
    				// Remove the write lock.
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  9. docs/en/docs/deployment/concepts.md

    !!! tip
        Don't worry if some of these items about **containers**, Docker, or Kubernetes don't make a lot of sense yet.
    
        I'll tell you more about container images, Docker, Kubernetes, etc. in a future chapter: [FastAPI in Containers - Docker](docker.md){.internal-link target=_blank}.
    
    ## Previous Steps Before Starting
    
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  10. docs/de/docs/deployment/server-workers.md

    ```console
    $ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80
    
    [19499] [INFO] Starting gunicorn 20.1.0
    [19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
    [19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
    [19511] [INFO] Booting worker with pid: 19511
    [19513] [INFO] Booting worker with pid: 19513
    [19514] [INFO] Booting worker with pid: 19514
    [19515] [INFO] Booting worker with pid: 19515
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