FastAPI in Production

FastAPI gets you to "it works" quickly. Getting to "it survives" takes a different layout. This skill is that layout — async-first, dependency-injection-clean, OpenAPI-hardened.

When to use

• New Python HTTP service.
• ML/AI inference API (FastAPI is the de facto standard).
• Replacing Flask for async + auto-OpenAPI benefits.
• Internal API where Python is the team's language.

When NOT to use

• High-throughput JSON service (>20k RPS) — Go or Rust will be cheaper at scale.
• Background-job-only workload — use Celery/Arq directly without HTTP layer.

Project layout