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Splitting a system into services solves some problems and creates others. This book helps you decide, and then build it properly. It starts with an honest case for the modular monolith, then shows how to find boundaries from business capabilities, give each service its own data, and choose between synchronous calls and asynchronous messages. You will learn how sagas and the outbox pattern keep work consistent without distributed transactions, and how timeouts, retries with backoff, idempotency keys and circuit breakers keep one slow dependency from sinking everything. Chapters on observability, testing, deployment and team shape follow, and a worked order scenario runs on small local Python services you can try yourself. Written for developers, tech leads and architects who want clear trade-offs instead of hype.
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