Learn Microservices with Spring Boot 3 (Moises Macero Garcia, Tarun Telang) (Z-Library)

【One-Line Pitch】 A hands-on guide that grows a small Spring Boot monolith into an event-driven microservices system, teaching TDD and distributed-systems patterns along the way. Best for Java developers who want practical, incremental exposure to microservices rather than pure theory. 【Book Arc】 - **Opening (~0%–15%)**: Sets up the toolchain and mindset — Java 17, Spring Boot 3, Spring Cloud/Integration/MVC/WebFlux context, and the testing basics (TDD, logging with SLF4J/Logback) you'll use throughout. - **Early (~15%–35%)**: Builds a basic Spring Boot application with a three-tier/three-layer structure, REST APIs, dependency injection, and a minimal React frontend wired to the backend (including CORS handling). - **Middle (~35%–55%)**: Adds the data layer with Spring Data and JPA, refines the domain model, and introduces the reasoning for splitting a monolith into microservices (bounded contexts, Conway's law, deployment independence). - **Late (~55%–80%)**: Moves into distributed-systems concerns — synchronous vs. asynchronous communication, service discovery, load balancing, routing, and the trade-offs of blocking calls between services. - **Ending (~80%–100%)**: Introduces event-driven architecture with a message broker (AMQP/RabbitMQ), covering exchange types, routing, acknowledgments, and Spring AMQP integration. 【Key Takeaways】 - **TDD drives the whole build** (Early): Tests are written before implementation, and Mockito verification is used to assert persistence and service interactions — a habit the book reinforces chapter by chapter. - **Start with a monolith, then evolve** (Middle): The book deliberately builds a working three-tier app first, then refactors toward microservices, so you feel the pain points that justify the split. - **Bounded contexts guide service boundaries** (Middle): Domains are separated to minimize coupling, and Conway's law is used to reason about how team structure should mirror the target architecture. - **Synchronous calls don't scale well across services** (Late): Blocking request chains couple availability; the book pushes you to ask whether you actually need to wait for every downstream step. - **Event-driven design replaces orchestration with choreography** (Ending): Services publish notifications about what happened rather than commanding each other, decoupling producers from consumers. - **A message broker is the backbone of event-driven systems** (Ending): RabbitMQ/AMQP concepts — exchanges, routing, acknowledgments, rejection — are covered as the practical infrastructure for this pattern. - **Spring Boot 3 specifics matter** (Early): Java 17, Jakarta EE 10, and updated Jackson/Hibernate integrations are woven in, so the code matches the current ecosystem rather than older editions. - **Configuration and observability are first-class concerns** (Late): Per-environment configuration, centralized logs, and containerization are treated as part of the architecture, not afterthoughts. 【Reading Tips】 - Deep-read the early chapters on TDD and the three-tier structure — later refactoring only makes sense if you understand the baseline app. - Skim the React frontend chapter if you're backend-focused; the key takeaway is how the frontend talks to the API and handles CORS, not React internals. - Treat the monolith-to-microservices transition (Middle) as the conceptual hinge — pause there and map the bounded contexts onto your own domain. - The event-driven chapters (Ending) are the hardest; read them with the RabbitMQ setup running so exchange/routing concepts stay concrete. - Keep the GitHub chapter repositories open alongside the text; the incremental code changes are easier to follow by diffing than by reading listings. 【Coverage Limits】 The excerpts are heavily fragmented (many OCR artifacts and table-of-contents fragments), so some chapter-level detail — particularly exact chapter titles and the full depth of the event-driven and containerization material — is not fully represented here.