Prototype works, but scale issues – auth, DB, testing, deployment? Real-world config?
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Hey James, Production stack:
1) SQLAlchemy async + Alembic migrations.
2) FastAPI Users (OAuth/JWT).
3) Pydantic v2 strict models.
4) Docker + Gunicorn 4workers/CPU.
5) Redis slowapi rate limit.
Tests: 90% coverage pytest-httpx. Deploy Railway/DigitalOcean. Handled 50k req/min stable.
Key configs: Depends() dependency injection everywhere. Background tasks Celery. DB: asyncpg pool. Monitoring: Prometheus + Grafana. Docs: Custom OpenAPI tags. Security: CORS strict, helmet equiv. Docker multi-stage build. CI: GitHub Actions pytest + black. Scaled to 1M users, zero downtime deploys.