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docs/en/docs/deployment/manually.md
This is the basic idea. But you will probably want to take care of some additional things, like: * Security - HTTPS * Running on startup * Restarts * Replication (the number of processes running) * Memory * Previous steps before starting
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docs/en/docs/deployment/concepts.md
### Server Memory For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.
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docs/en/docs/release-notes.md
A command line tool that will **process your code** and update most of the things **automatically** for you. Make sure you have your code in git first, and review each of the changes to make sure everything is correct before committing the changes. ### Pydantic v1 **This version of FastAPI still supports Pydantic v1**. And although Pydantic v1 will be deprecated at some point, it will still be supported for a while.
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docs/en/docs/advanced/openapi-webhooks.md
You also define in some way at which **moments** your app will send those requests or events. And **your users** define in some way (for example in a web dashboard somewhere) the **URL** where your app should send those requests.
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README.md
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docs/en/docs/deployment/docker.md
The first stage will only be used to **install Poetry** and to **generate the `requirements.txt`** with your project dependencies from Poetry's `pyproject.toml` file. This `requirements.txt` file will be used with `pip` later in the **next stage**. In the final container image **only the final stage** is preserved. The previous stage(s) will be discarded.
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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`
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docs/en/docs/index.md
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