How I Build Reliable and Scalable Python Services in 2025 (Real Lessons Learned)

TL;DR: From architecture to retries, configs, queues, testing, and deployment — this is my personal guide to writing production-grade Python services that actually scale.

You’ve probably heard it before:
“Just add another microservice — it’ll be fine!”
But once you start juggling configs, RabbitMQ, flaky APIs, and CI/CD pipelines — things get messy. Fast.

In my latest article, I break down:

• 🧱 How I structure Python services for clarity and maintainability
• My favorite tools: Pyright, FastAPI, FastStream, Pydantic, and more
• 🧪 How I approach testing, retries, circuit breakers & CI
• How I organize integration layers and consumers All based on real-world experience running production apps — no fluff.

Read the full article on Medium:

Reliable and Scalable Python Services 2025: A Comprehensive Guide Based on Personal Experience

原文链接： How I Build Reliable and Scalable Python Services in 2025 (Real Lessons Learned)