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docs/en/docs/deployment/manually.md
But if you want to directly use **Trio**, then you can use **Hypercorn** as it supports it. ✨ ### Install Hypercorn with Trio First you need to install Hypercorn with Trio support: <div class="termy"> ```console
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docs/en/docs/advanced/behind-a-proxy.md
By default, **FastAPI** will create a `server` in the OpenAPI schema with the URL for the `root_path`. But you can also provide other alternative `servers`, for example if you want *the same* docs UI to interact with a staging and production environments.
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docs/en/docs/release-notes.md
* 🔥 Remove Jina AI QA Bot from the docs. PR [#11268](https://github.com/tiangolo/fastapi/pull/11268) by [@nan-wang](https://github.com/nan-wang). * 🔧 Update sponsors, remove Jina, remove Powens, move TestDriven.io. PR [#11213](https://github.com/tiangolo/fastapi/pull/11213) by [@tiangolo](https://github.com/tiangolo). ## 0.110.0
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docs/en/docs/deployment/concepts.md
## Previous Steps Before Starting There are many cases where you want to perform some steps **before starting** your application. For example, you might want to run **database migrations**. But in most cases, you will want to perform these steps only **once**. So, you will want to have a **single process** to perform those **previous steps**, before starting the application.
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docs/en/mkdocs.yml
- benchmarks.md - Help: - help/index.md - help-fastapi.md - contributing.md - release-notes.md markdown_extensions: toc: permalink: true markdown.extensions.codehilite: guess_lang: false mdx_include: base_path: docs admonition: null codehilite: null extra: null pymdownx.superfences: custom_fences: - name: mermaid class: mermaid
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README.md
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docs/en/docs/deployment/docker.md
### One Process per Container In this type of scenario, you probably would want to have **a single (Uvicorn) process per container**, as you would already be handling replication at the cluster level. So, in this case, you **would not** want to have a process manager like Gunicorn with Uvicorn workers, or Uvicorn using its own Uvicorn workers. You would want to have just a **single Uvicorn process** per container (but probably multiple containers).
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