Book Image

Mastering Microservices with Java - Third Edition

By : Sourabh Sharma
Book Image

Mastering Microservices with Java - Third Edition

By: Sourabh Sharma

Overview of this book

Microservices are key to designing scalable, easy-to-maintain applications. This latest edition of Mastering Microservices with Java, works on Java 11. It covers a wide range of exciting new developments in the world of microservices, including microservices patterns, interprocess communication with gRPC, and service orchestration. This book will help you understand how to implement microservice-based systems from scratch. You'll start off by understanding the core concepts and framework, before focusing on the high-level design of large software projects. You'll then use Spring Security to secure microservices and test them effectively using REST Java clients and other tools. You will also gain experience of using the Netflix OSS suite, comprising the API Gateway, service discovery and registration, and Circuit Breaker. Additionally, you'll be introduced to the best patterns, practices, and common principles of microservice design that will help you to understand how to troubleshoot and debug the issues faced during development. By the end of this book, you'll have learned how to build smaller, lighter, and faster services that can be implemented easily in a production environment.
Table of Contents (22 chapters)
Free Chapter
1
Section 1: Fundamentals
6
Section 2: Microservice Patterns, Security, and UI
11
Section 3: Inter-Process Communication
15
Section 4: Common Problems and Best Practices

Design Iteration

An architect always looks for alternative ways to avoid distributed transactions that eventually avoid complexity. For example, let's discuss the implementation of the following user case: a banking app that shows the last login time when a user logs into the app.

First approach

In a banking system, let's say the user and security features are implemented by separate microservices. Let's also assume that the user database also stores the lastLoggedInTime field to store the last time the user logged in. This means whenever the user logs into the banking app, a call to update the user would be made (to the user service). This design involves a distributed transaction because every login involves...