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A comprehensive guide covering 10 practical optimization techniques for FastAPI applications, from code-level improvements like async/await usage and Pydantic model simplification to deployment strategies including Uvicorn + Gunicorn setup, caching with Redis, database optimization, and static file handling with Nginx. Each technique includes implementation examples and explains the underlying performance principles.

10 Ways to Make FastAPI Blazing Fast: from Code to Production

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10 Ways to Make FastAPI Blazing Fast: from Code to Production

The first point is either wrong or at least misleading. If your define a synchronous route with <code>def</code> in FastAPI it won’t block the event loop. In general synchronous functions do that but FasfAPI runs these routes in a thread pool so that they don’t block the main event loop.
IMHO, your database connection shouldn’t be a route dependency. Ideally, your code is properly structured so that your route never directly interacts with the database. Route --&gt; Business Logic --&gt; Database.
In terms of caching, I’d go for nginx’s caching if I’m using it as a reverse proxy anyway. No Redis needed. Just configure it once and set the time-to-live for each route with the <code>cache-control:max-age</code> header.