Engineering Microservices in Python with FastAPI: A Deep Dive into Backend Architecture, Scalability, and Distributed Service Design

Stop building APIs that only work in tutorials. Start engineering systems that survive reality. Most backend books teach you how to make something run. This book teaches you how to build something that doesn't break. When your system hits real traffic, everything changes. Dependencies slow down. Databases lock. Requests pile up. And the difference between "working code" and a production-ready system becomes painfully clear. This book closes that gap. Inside, you will learn how to design and build a complete, production-grade microservices system using FastAPI while understanding the deeper engineering principles that make it resilient, scalable, and reliable. You'll go beyond syntax and frameworks and learn how to: - Design microservices that don't collapse under load- Build event-driven systems that stay responsive even when dependencies fail- Handle real-world failure modes like retry storms, cascading failures, and resource exhaustion- Implement production-critical patterns such as idempotency, circuit breakers, and the transactional outbox- Structure services with data autonomy and clean boundaries- Build systems that are observable, debuggable, and scalable by designThis is not a beginner's guide. It's for developers who are tired of shallow tutorials and want to understand what actually happens in production where systems fail, recover, and evolve under pressure. If you don't learn these concepts, you'll keep building systems that: - work locally- pass tests- and fail when it matters mostIf you do, you'll start thinking like a systems engineer designing software that can handle scale, absorb failure, and keep running when everything around it breaks. This isn't just a FastAPI book. It's the difference between writing code... and engineering systems that last.

Pagina's: 764, Paperback, Independently published