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

    Up to here, everything would work as normally.
    
    But then, when you open the integrated docs UI (the frontend), it would expect to get the OpenAPI schema at `/openapi.json`, instead of `/api/v1/openapi.json`.
    
    So, the frontend (that runs in the browser) would try to reach `/openapi.json` and wouldn't be able to get the OpenAPI schema.
    
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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. docs/en/docs/tutorial/request-files.md

    ```Python
    contents = myfile.file.read()
    ```
    
    !!! note "`async` Technical Details"
        When you use the `async` methods, **FastAPI** runs the file methods in a threadpool and awaits for them.
    
    !!! note "Starlette Technical Details"
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  4. docs/en/docs/deployment/docker.md

    problem**, and you might not need to specify hard memory limits. But if you are **using a lot of memory** (for example with **machine learning** models), you should check how much memory you are consuming and adjust the **number of containers** that runs in **each machine** (and maybe add more machines to your cluster).
    
    If you run **multiple processes per container** (for example with the official Docker image) you will have to make sure that the number of processes started doesn't **consume...
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