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  1. docs/en/docs/img/deployment/https/https02.drawio

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  2. docs_src/openapi_callbacks/tutorial001.py

        * Send the invoice to the client.
        * Collect the money from the client.
        * Send a notification back to the API user (the external developer), as a callback.
            * At this point is that the API will somehow send a POST request to the
                external API with the notification of the invoice event
                (e.g. "payment successful").
        """
        # Send the invoice, collect the money, send the notification (the callback)
    Python
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  3. docs/fr/docs/tutorial/debugging.md

    # <abbr title="En anglais: Debugging">Débogage</abbr>
    
    Vous pouvez connecter le <abbr title="En anglais: debugger">débogueur</abbr> dans votre éditeur, par exemple avec Visual Studio Code ou PyCharm.
    
    ## Faites appel à `uvicorn`
    
    Dans votre application FastAPI, importez et exécutez directement `uvicorn` :
    
    ```Python hl_lines="1  15"
    {!../../../docs_src/debugging/tutorial001.py!}
    ```
    
    ### À propos de `__name__ == "__main__"`
    
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  4. docs/en/docs/img/deployment/concepts/process-ram.drawio

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  5. docs/en/docs/deployment/concepts.md

        In that case, you wouldn't have to worry about any of this. 🤷
    
    ### Examples of Previous Steps Strategies
    
    This will **depend heavily** on the way you **deploy your system**, and it would probably be connected to the way you start programs, handling restarts, etc.
    
    Here are some possible ideas:
    
    * An "Init Container" in Kubernetes that runs before your app container
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  6. docs/pt/docs/deployment.md

    * A encriptação da conexão acontece no nível TCP.
        * TCP é uma camada abaixo do HTTP.
        * Então, o controle de certificado e encriptação é feito antes do HTTP.
    * TCP não conhece nada sobre "domínios". Somente sobre endereços IP.
        * A informação sobre o domínio requisitado vai nos dados HTTP.
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  7. docs/fr/docs/async.md

    majoritairement par l'attente d'opérations <abbr title="Input/Output ou Entrées et Sorties ">I/O</abbr> on appelle ceci des opérations <a href="https://fr.wikipedia.org/wiki/I/O_bound" class="external-link" target="_blank">"I/O bound"</a>.
    
    Ce concept se nomme l'"asynchronisme" car l'ordinateur / le programme n'a pas besoin d'être "synchronisé" avec la tâche, attendant le moment exact où cette dernière se terminera en ne faisant rien, pour être capable de récupérer le résultat de la tâche et l'utiliser...
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  8. docs/ko/docs/deployment/docker.md

    컨테이너를 사용하지 않고서는, 어플리케이션을 구동하고 재시작하는 것이 매우 번거롭고 어려울 수 있습니다. 하지만 **컨테이너를 사용한다면** 대부분의 경우에 이런 기능은 기본적으로 포함되어 있습니다. ✨
    
    ## 복제 - 프로세스 개수
    
    만약 여러분이 **쿠버네티스**와 머신 <abbr title="A group of machines that are configured to be connected and work together in some way.">클러스터</abbr>, 도커 스왐 모드, 노마드, 또는 다른 여러 머신 위에 분산 컨테이너를 관리하는 복잡한 시스템을 다루고 있다면, 여러분은 각 컨테이너에서 (워커와 함께 사용하는 Gunicorn 같은) **프로세스 매니저** 대신 **클러스터 레벨**에서 **복제를 다루**고 싶을 것입니다.
    
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  9. docs/en/docs/img/deployment/https/https08.drawio

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  10. docs/en/docs/img/deployment/https/https03.drawio

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