FastAPI + Postgres: A Solid Foundation for Backend Systems

There's a lot of hype around various backend frameworks and databases. Here's what I've learned from building multiple systems on FastAPI + Postgres:

Why FastAPI?

• Async by default, so concurrency feels natural
• Type hints make the code self-documenting
• Dependency injection reduces boilerplate
• OpenAPI docs auto-generated (actually useful)
• Startup/shutdown lifecycle handling
• Works great with Pydantic for validation

It's not magic, but it removes friction. You spend less time fighting the framework and more time solving domain problems.

Why Postgres?

ACID guarantees matter. JSON support is surprisingly powerful. Full-text search, ranges, custom types — it's a surprisingly complete database that doesn't require you to learn a new paradigm.

Use migrations (Alembic is solid). Index properly. Understand your query plans. That's it.

The Secret: Boring Beats Clever

I've seen teams spend months on custom ORMs, connection pooling tweaks, and micro-optimizations that saved 10ms on a request that's already 500ms.

Start with:

• FastAPI
• Psycopg (or asyncpg)
• SQLAlchemy ORM
• Alembic migrations
• Basic monitoring

Optimize when you have evidence to optimize. Most backend work is about clarity and correctness first, performance second.