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  1. docs/en/docs/advanced/behind-a-proxy.md

    And then it will redirect its requests to your Uvicorn running on `http://127.0.0.1:8000`.
    
    Now start Traefik:
    
    <div class="termy">
    
    ```console
    $ ./traefik --configFile=traefik.toml
    
    INFO[0000] Configuration loaded from file: /home/user/awesomeapi/traefik.toml
    ```
    
    </div>
    
    And now start your app, using the `--root-path` option:
    
    <div class="termy">
    
    ```console
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  2. docs/en/docs/deployment/concepts.md

    Here are some possible ideas:
    
    * An "Init Container" in Kubernetes that runs before your app container
    * A bash script that runs the previous steps and then starts your application
        * You would still need a way to start/restart *that* bash script, detect errors, etc.
    
    !!! tip
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  3. README.md

    The command `fastapi dev` reads your `main.py` file, detects the **FastAPI** app in it, and starts a server using <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>.
    
    By default, `fastapi dev` will start with auto-reload enabled for local development.
    
    You can read more about it in the <a href="https://fastapi.tiangolo.com/fastapi-cli/" target="_blank">FastAPI CLI docs</a>.
    
    </details>
    
    ### Check it
    
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  4. docs/en/docs/index.md

    The command `fastapi dev` reads your `main.py` file, detects the **FastAPI** app in it, and starts a server using <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>.
    
    By default, `fastapi dev` will start with auto-reload enabled for local development.
    
    You can read more about it in the <a href="https://fastapi.tiangolo.com/fastapi-cli/" target="_blank">FastAPI CLI docs</a>.
    
    </details>
    
    ### Check it
    
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  5. docs/en/docs/deployment/docker.md

    A container is running as long as the **main process** (command or program) is running.
    
    A container normally has a **single process**, but it's also possible to start subprocesses from the main process, and that way you will have **multiple processes** in the same container.
    
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