Pydantic Validation is Magic
The way Pydantic handles validation in FastAPI is incredible. Define your model with type hints, and boom - automatic validation, serialization, and documentation. No more writing validation code by hand!
Posts by MooningFlux
IP addressing. Private (gray) and public (white) IPs
Private IP addresses are reserved for local area networks (RFC 1918): Class A: 10.0.0.0 - 10.255.255.255 (corporations, ISPs); Class B: 172.16.0.0 - 172.32.255.255 (universities, data centers); Class C: 192.168.0.0 - 192.168.255.255 (home).
Error Handling Done Right
Don't just return 500 for everything! Use HTTPException to return meaningful status codes and messages. Your API consumers will thank you when debugging issues.
Async Database Queries
Blocking database calls in async code? That's a performance killer. Use async drivers like psycopg (for PostgreSQL) or aiosqlite to keep your event loop happy.
Documentation That Writes Itself
Add docstrings to your endpoints and they appear in Swagger UI. Add examples to your Pydantic models and they show up too. Documentation has never been this easy.
CMD vs ENTRYPOINT on Dockerfile
If you use shell mode for ENTRYPOINT, CMD is ignored. When using exec mode for ENTRYPOINT, CMD arguments are appended. When using exec mode for an ENTRYPOINT instruction, you must also use exec mode for the CMD instruction. Failure to do so will cause Docker to attempt to append sh -c to the arguments already appended, which may lead to unpredictable results. ENTRYPOINT and CMD instructions can be overridden using command-line flags.
Caching Strategies
Not every request needs to hit the database. Use caching with Redis or even in-memory for frequently accessed data. Your response times will plummet (in a good way).