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docs/en/docs/deployment/concepts.md
### Separate Program To achieve this, you will normally have a **separate program** that would make sure your application is run on startup. And in many cases, it would also make sure other components or applications are also run, for example, a database. ### Example Tools to Run at Startup Some examples of the tools that can do this job are: * Docker
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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
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docs/en/docs/advanced/openapi-callbacks.md
```Python callback_url = "https://example.com/api/v1/invoices/events/" httpx.post(callback_url, json={"description": "Invoice paid", "paid": True}) ``` But possibly the most important part of the callback is making sure that your API user (the external developer) implements the *external API* correctly, according to the data that *your API* is going to send in the request body of the callback, etc.
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docs/en/docs/deployment/docker.md
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 more memory** than what is available. ## Previous Steps Before Starting and Containers
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