Book Image

Hands-On Microservices with Spring Boot and Spring Cloud

By : Magnus Larsson
Book Image

Hands-On Microservices with Spring Boot and Spring Cloud

By: Magnus Larsson

Overview of this book

Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you’ll learn how to efficiently build and deploy microservices using Spring Boot. This microservices book will take you through tried and tested approaches to building distributed systems and implementing microservices architecture in your organization. Starting with a set of simple cooperating microservices developed using Spring Boot, you’ll learn how you can add functionalities such as persistence, make your microservices reactive, and describe their APIs using Swagger/OpenAPI. As you advance, you’ll understand how to add different services from Spring Cloud to your microservice system. The book also demonstrates how to deploy your microservices using Kubernetes and manage them with Istio for improved security and traffic management. Finally, you’ll explore centralized log management using the EFK stack and monitor microservices using Prometheus and Grafana. By the end of this book, you’ll be able to build microservices that are scalable and robust using Spring Boot and Spring Cloud.
Table of Contents (26 chapters)
Title Page

Summary

In this chapter, we have seen how we can use Spring Data to add a persistence layer to the core microservices. We used the core concepts of Spring Data, repositories and entities, to store data in both MongoDB and MySQL using a programming model that is similar, even though not fully portable. We have also seen how Spring Boot's annotations, @DataMongoTest and @DataJpaTest, can be used to conveniently set up tests targeted for persistence; this is where an embedded database is started automatically before the test runs, but no other infrastructure that the microservice will need in runtime, for example, a web server such as Netty, is started up. This results in persistence tests that are easy to set up and that start with minimum overhead.

We have also seen how the persistence layer can be used by the service layer and how we can add APIs for creating and...