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  1. docs/en/docs/deployment/concepts.md

    And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨
    
    ### Multiple Processes - An Example
    
    In this example, there's a **Manager Process** that starts and controls two **Worker Processes**.
    
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  2. docs/en/docs/deployment/index.md

    For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.
    
    This is in contrast to the **development** stages, where you are constantly changing the code, breaking it and fixing it, stopping and restarting the development server, etc.
    
    ## Deployment Strategies
    
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  3. docs/de/docs/help-fastapi.md

    ### Lösungen vorschlagen
    
    * Nachdem Sie die Frage verstanden haben, können Sie eine mögliche **Antwort** geben.
    
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  4. docs/es/docs/benchmarks.md

    Específicamente, para ver Uvicorn, Starlette y FastAPI comparadas entre sí (entre muchas otras herramientas).
    
    Cuanto más sencillo sea el problema resuelto por la herramienta, mejor rendimiento obtendrá. Y la mayoría de los benchmarks no prueban las funciones adicionales proporcionadas por la herramienta.
    
    La jerarquía sería:
    
    * **Uvicorn**: como servidor ASGI
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  5. docs/de/docs/benchmarks.md

    Konkret geht es darum, Uvicorn, Starlette und FastAPI miteinander zu vergleichen (neben vielen anderen Tools).
    
    Je einfacher das Problem, welches durch das Tool gelöst wird, desto besser ist die Performanz. Und die meisten Benchmarks testen nicht die zusätzlichen Funktionen, welche das Tool bietet.
    
    Die Hierarchie ist wie folgt:
    
    * **Uvicorn**: ein ASGI-Server
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  6. docs/en/docs/benchmarks.md

    When you check the benchmarks, it is common to see several tools of different types compared as equivalent.
    
    Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).
    
    The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.
    
    The hierarchy is like:
    
    * **Uvicorn**: an ASGI server
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  7. docs/fr/docs/deployment/index.md

    qui offre de bonnes performances, une bonne stabilité, _etc._, afin que vos **utilisateurs** puissent **accéder** à
    l'application efficacement et sans interruption ni problème.
    
    Ceci contraste avec les étapes de **développement**, où vous êtes constamment en train de modifier le code, de le casser
    et de le réparer, d'arrêter et de redémarrer le serveur de développement, _etc._
    
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  8. docs/de/docs/project-generation.md

    * **PGAdmin** für die PostgreSQL-Datenbank, können Sie problemlos ändern, sodass PHPMyAdmin und MySQL verwendet wird.
    * **Flower** für die Überwachung von Celery-Jobs.
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  9. docs/en/docs/advanced/generate-clients.md

    you have any **mismatch** in the data used.
    
    So, you would **detect many errors** very early in the development cycle instead of having to wait for the errors to show up to your final users in production and then trying to debug where the problem is. ✨...
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  10. docs/de/docs/deployment/https.md

    Sobald Sie jedoch die grundlegenden Informationen zu **HTTPS für Entwickler** kennen, können Sie verschiedene Tools problemlos kombinieren und konfigurieren, um alles auf einfache Weise zu verwalten.
    
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