Building Scalable Backends with FastAPI

# Building Scalable Backends with FastAPI FastAPI has become one of my go-to frameworks for building high-performance backend systems. In this post, I'll share some patterns and practices I've learned from building production systems. ## Why FastAPI? FastAPI combines the best of both worlds: the simplicity of Flask with the performance of modern async Python. Its automatic API documentation and type safety make it a joy to work with. ## Key Patterns ### Async/Await Everywhere One of the biggest wins with FastAPI is leveraging async/await throughout your application. This allows you to handle many concurrent requests efficiently. ### Database Connection Pooling Using connection pooling with async database drivers like asyncpg or databases ensures your application can handle high concurrency without creating too many database connections. ### Background Tasks For long-running operations, FastAPI's background tasks or Celery integration allows you to offload work without blocking request handling. ## Conclusion FastAPI has proven to be an excellent choice for building scalable backend systems. The combination of performance, developer experience, and built-in features makes it a strong contender for modern API development.