Build Production-Ready APIs with FastAPI and Python
FastAPI makes it easy to build an API. Building one that is secure, reliable, scalable, testable, and ready for production requires a deeper understanding of architecture and engineering practices.
FastAPI for Production Python APIs takes you beyond basic tutorials and walks you through building a complete production-oriented application with FastAPI, PostgreSQL, SQLAlchemy 2.0, authentication, background jobs, automated testing, observability, Docker, and deployment.
Inside, you'll learn how to:
Design maintainable FastAPI architectures and API contracts
Build PostgreSQL applications with SQLAlchemy and Alembic
Implement secure authentication, JWTs, roles, and authorization
Handle transactions, multi-tenant boundaries, retries, and idempotency
Use BackgroundTasks, Celery, and Redis for asynchronous work
Test APIs, databases, authentication, authorization, and failure scenarios
Improve reliability, performance, logging, metrics, and observability
Containerize and deploy FastAPI applications with Docker
Manage configuration, secrets, security controls, and API evolution
Prepare applications for production incidents, recovery, and safe releases
Using the evolving WorkTrack project, the book connects these concepts into one practical system so you can understand not only how to build FastAPI applications, but why production decisions matter.
If you're ready to move from a working FastAPI endpoint to a production-oriented Python API, this book provides a practical path from development to deployment.
