Production FastAPI
What it takes to run FastAPI reliably in production at scale.
Definition
Running FastAPI in production means going beyond `uvicorn app.main:app --reload`. Production FastAPI requires: structured logging, database connection pooling, Alembic migrations on deploy, health check endpoints, graceful shutdown handling, authentication, rate limiting, environment-based configuration, and a container-ready setup.
Why it matters for AI APIs
A FastAPI tutorial gets you to localhost:8000 in 5 minutes. Getting to a stable, secure, observable production deployment takes days or weeks if you're building everything from scratch. The gap between a working tutorial and a production system is the pain that FastAPI AI Kit eliminates.
In FastAPI AI Kit
The kit ships everything a production FastAPI app needs: Gunicorn + Uvicorn workers, structured JSON logging, Sentry integration hooks, health endpoint at /healthz, graceful shutdown, Alembic migration runner on startup, Docker multi-stage build, and deploy guides for Railway, Render, Fly, and VPS.