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  1. docs/es/docs/deployment/server-workers.md

    ///
    
    ## 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
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  2. docs/de/llm-prompt.md

            «««
            # FastAPI in Containers - Docker { #fastapi-in-containers-docker }
            »»»
    
        Translate with (German) – notice the dash:
    
            «««
            # FastAPI in Containern – Docker { #fastapi-in-containers-docker }
            »»»
    
        Do NOT translate with (German) – notice the hyphen:
    
            «««
            # FastAPI in Containern - Docker { #fastapi-in-containers-docker }
            »»»
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
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  3. docs/de/docs/deployment/server-workers.md

    ///
    
    ## 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>
    
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  4. docs/es/llm-prompt.md

    * mount (verb): montar
    * statement (as in code statement): statement (do not translate to "declaración" or "sentencia")
    * worker process: worker process (do not translate to "proceso trabajador" or "proceso de trabajo")
    * worker processes: worker processes (do not translate to "procesos trabajadores" or "procesos de trabajo")
    * worker: worker (do not translate to "trabajador")
    * load balancer: load balancer (do not translate to "balanceador de carga")
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  5. docs/en/docs/_llm-test.md

    * 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`
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  6. docs/es/docs/deployment/concepts.md

    /// tip | Consejo
    
    No te preocupes si algunos de estos elementos sobre **contenedores**, Docker, o Kubernetes no tienen mucho sentido todavía.
    
    Te contaré más sobre imágenes de contenedores, Docker, Kubernetes, etc. en un capítulo futuro: [FastAPI en Contenedores - Docker](docker.md){.internal-link target=_blank}.
    
    ///
    
    ## Pasos Previos Antes de Iniciar { #previous-steps-before-starting }
    
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  7. docs/de/docs/deployment/concepts.md

    /// tip | Tipp
    
    Machen Sie sich keine Sorgen, wenn einige dieser Punkte zu **Containern**, Docker oder Kubernetes noch nicht viel Sinn ergeben.
    
    Ich werde Ihnen in einem zukünftigen Kapitel mehr über Container-Images, Docker, Kubernetes, usw. erzählen: [FastAPI in Containern – Docker](docker.md){.internal-link target=_blank}.
    
    ///
    
    ## Schritte vor dem Start { #previous-steps-before-starting }
    
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  8. docs/de/docs/deployment/docker.md

    Und wenn Sie mehrere Worker benötigen, können Sie einfach die `--workers` Befehlszeilenoption verwenden.
    
    /// note | Technische Details
    
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  9. docs/pt/docs/_llm-test.md

    * a tarefa em segundo plano
    * a função da tarefa
    
    * o template
    * o mecanismo de template
    
    * a anotação de tipo
    * a anotação de tipo
    
    * o worker de servidor
    * o worker do Uvicorn
    * o Worker do Gunicorn
    * o processo worker
    * a classe de worker
    * a carga de trabalho
    
    * a implantação
    * implantar
    
    * o SDK
    * o kit de desenvolvimento de software
    
    * o `APIRouter`
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 17 10:17:03 UTC 2025
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  10. docs/es/docs/deployment/docker.md

    /// note | Detalles Técnicos
    
    La imagen de Docker se creó cuando Uvicorn no soportaba gestionar y reiniciar workers muertos, por lo que era necesario usar Gunicorn con Uvicorn, lo que añadía bastante complejidad, solo para que Gunicorn gestionara y reiniciara los worker processes de Uvicorn.
    
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