class UserService: @retry(stop=stop_after_attempt(3)) # Resilience pattern async def get_profile(self, user_id: str): # Business logic lives here async with db.pool.acquire() as conn: return await conn.fetchrow("SELECT * FROM users WHERE id = $1", user_id)
# Not just a route - A Service Layer pattern from fastapi import Depends, FastAPI from tenacity import retry, stop_after_attempt app = FastAPI() Have you read this book or implemented FastAPI microservices
@app.get("/profile/{id}") async def profile_route(id: str, service: UserService = Depends()): # Route only handles HTTP concerns result = await service.get_profile(id) return {"status": "ok", "data": result} If you are a backend engineer moving from Django or Flask to a distributed architecture, Sherwin John C. Tragura’s "Building Python Microservices with FastAPI" is a cheat code. FastAPI from tenacity import retry
The structured knowledge inside this book will save you months of debugging distributed system failures. Have you read this book or implemented FastAPI microservices? Let me know your biggest challenge with distributed Python systems in the comments below! Have you read this book or implemented FastAPI microservices
