FastAPI Production Guide
Every production concern, middleware, authentication, observability, security, containerization, configured and battle tested. This guide walks through each layer of the FastAPI Chassis so you understand what your AI agent inherits when it starts writing business logic.
Built for fastapi-chassis v1.0.0
What is FastAPI?
FastAPI is a modern, high-performance Python web framework for building APIs. Built on Starlette for the async runtime and Pydantic for data validation, it delivers performance on par with Node.js and Go while staying fully type-hinted and standards-based (OpenAPI + JSON Schema).
Getting started is simple. A few lines give you a working API with auto-generated interactive docs:
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
async def read_root():
return {"Hello": "World"}
Run with fastapi dev main.py
and visit /docs for
the Swagger UI.
That gets you a prototype. Production needs a lot more than that: authentication, observability, security headers, database migrations, health checks, rate limiting, and container packaging. The FastAPI Chassis wires all of that into a single, tested foundation so your team (or your AI agent) can focus on business logic from day one. Start with the Non-Functional Requirements chapter to see the quality attributes the chassis answers, then dive into any chapter below.
Have questions?
Common questions about middleware decisions, authentication modes, Docker packaging, testing strategy, and deployment — answered from the guide content.
Read the FAQChapters
Non-Functional Requirements
The 23 quality attributes that shape every production decision in the chassis
02Builder Pattern
How the application factory composes middleware, routes, and lifecycle events
03Middleware Stack
The raw ASGI middleware stack -- six layers processing every request
04Authentication (JWT)
Three JWT validation modes: shared secret, static key, and JWKS discovery
05Observability
OpenTelemetry traces, Prometheus metrics, and structured JSON logging
06Database
Async SQLAlchemy with Alembic migrations and multi-backend support
07Docker & Containerization
Multi-stage builds with tini, unprivileged user, and digest-pinned images
08Testing
98%+ coverage strategy with fixtures, factories, and async test patterns
09Health Checks
Readiness vs liveness separation for Kubernetes orchestration
10Security Headers
HSTS, CSP, permissions policy, and security header configuration
11Rate Limiting
Memory and Redis-backed rate limiting with configurable windows
12Caching
Optional caching layer with backend-agnostic cache interface
13Deployment
Kubernetes Helm chart and VM deployment with security hardening
14Conclusion