Learn Microservices with Spring Boot - Second Edition (Moisés Macero García [Macero García, Moisés]) (Z-Library)

【One-Line Pitch】 A hands-on guide that grows a small Spring Boot application into a full event-driven microservices system, so you learn each distributed-systems pattern by feeling the pain it solves. Best for Java developers who know some Spring but want a realistic, code-along path from monolith to cloud-native deployment. 【Book Arc】 - **Opening (~0%–10%)**: Sets expectations and audience, explains the incremental "evolve a real app" method, and previews the journey from a small monolith to microservices with TDD, messaging, and containers. - **Early (~10%–35%)**: Builds the foundation—Spring, Spring Boot autoconfiguration, starters, profiles, testing libraries, Lombok, and logging—then designs and implements a production-style layered Spring Boot app with a REST API, business logic, and a database layer. - **Middle (~35%–60%)**: Introduces the second service (gamification) to create a genuine microservices architecture, weighing the pros and cons of splitting, and confronting tight coupling and synchronous interfaces. - **Late (~60%–85%)**: Adds distributed-systems machinery—event-driven messaging with RabbitMQ, service discovery, load balancing, routing, centralized configuration, and end-to-end tracing. - **Ending (~85%–100%)**: Containerizes the services and UI, orchestrates them with Docker Compose, scales the system, and surveys cloud-native platforms and deployment choices. 【Key Takeaways】 - **Microservices are learned by evolution, not by decree** (Early): the book starts with a small monolith and refactors outward, so each split is motivated by a concrete requirement rather than architectural fashion. - **Spring Boot's magic is demystified** (Early): autoconfiguration, starters, and profiles are explained internally so you stay in control instead of losing awareness behind defaults. - **TDD drives the feature map** (Early): JUnit 5, AssertJ, and Mockito are used to write tests first, fail them, then implement—making testing a design tool, not an afterthought. - **A second service is what makes it "microservices"** (Middle): only once functionality is split across services do discovery, routing, and resilience patterns become meaningful. - **Event-driven architecture replaces brittle synchronous calls** (Late): RabbitMQ and AMQP introduce asynchronous processing and eventual consistency, addressing the tight coupling flagged earlier. - **Operational concerns are first-class** (Late): service discovery with Consul, load balancing, Spring Cloud Gateway routing, centralized configuration, and Sleuth-based traceability are treated as core, not optional. - **Containerization completes the picture** (Ending): Docker images via buildpacks, Docker Compose orchestration, and scaling show how the system actually runs. - **Trade-offs are stated, not hidden** (Middle): the book covers disadvantages of microservices and when a small monolith is the better fit for small teams. 【Reading Tips】 - Code along with the GitHub repositories (Book-Microservices-v2), which are split by chapter so you can see each evolutionary step rather than only the final state. - Deep-read the Spring Boot internals and testing chapters; skim the UI and boilerplate sections if you already know them. - Treat the monolith-to-microservices transition as the conceptual hinge—pause there and ask whether the split fits your own system. - Use the online companion content (e.g., Cucumber end-to-end testing) after finishing the book to extend the case study. 【Coverage Limits】 This guide is based on stratified excerpts and the book's front matter; specific chapter-level implementation details beyond the table of contents and early conceptual chapters are not fully covered here.