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
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