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docs/en/docs/advanced/behind-a-proxy.md
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docs/en/docs/tutorial/first-steps.md
...and the more exotic ones: * `OPTIONS` * `HEAD` * `PATCH` * `TRACE` In the HTTP protocol, you can communicate to each path using one (or more) of these "methods". --- When building APIs, you normally use these specific HTTP methods to perform a specific action. Normally you use: * `POST`: to create data. * `GET`: to read data. * `PUT`: to update data. * `DELETE`: to delete data.
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docs/en/docs/deployment/concepts.md
## Running on Startup In most cases, when you create a web API, you want it to be **always running**, uninterrupted, so that your clients can always access it. This is of course, unless you have a specific reason why you want it to run only in certain situations, but most of the time you want it constantly running and **available**. ### In a Remote Server
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README.md
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docs/en/docs/deployment/docker.md
If your application is **simple**, this will probably **not be a 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).
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docs/en/docs/advanced/settings.md
Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`). ### Use the `settings` Then you can use the new `settings` object in your application: ```Python hl_lines="18-20" {!../../../docs_src/settings/tutorial001.py!} ``` ### Run the server
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docs/en/docs/index.md
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