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Microservices with Spring Boot 3 and Spring Cloud, Third Edition

You're reading from   Microservices with Spring Boot 3 and Spring Cloud, Third Edition Build resilient and scalable microservices using Spring Cloud, Istio, and Kubernetes

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781805128694
Length 706 pages
Edition 3rd Edition
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Author (1):
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Magnus Larsson AB Magnus Larsson AB
Author Profile Icon Magnus Larsson AB
Magnus Larsson AB
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Toc

Table of Contents (26) Chapters Close

Preface 1. Introduction to Microservices 2. Introduction to Spring Boot FREE CHAPTER 3. Creating a Set of Cooperating Microservices 4. Deploying Our Microservices Using Docker 5. Adding an API Description Using OpenAPI 6. Adding Persistence 7. Developing Reactive Microservices 8. Introduction to Spring Cloud 9. Adding Service Discovery Using Netflix Eureka 10. Using Spring Cloud Gateway to Hide Microservices behind an Edge Server 11. Securing Access to APIs 12. Centralized Configuration 13. Improving Resilience Using Resilience4j 14. Understanding Distributed Tracing 15. Introduction to Kubernetes 16. Deploying Our Microservices to Kubernetes 17. Implementing Kubernetes Features to Simplify the System Landscape 18. Using a Service Mesh to Improve Observability and Management 19. Centralized Logging with the EFK Stack 20. Monitoring Microservices 21. Installation Instructions for macOS 22. Installation Instructions for Microsoft Windows with WSL 2 and Ubuntu 23. Native-Complied Java Microservices 24. Other Books You May Enjoy
25. Index

Summary

In this chapter, we saw 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. The programming model is similar for a NoSQL database such as MongoDB and a SQL database such as MySQL, even though it’s not fully portable. We also saw how Spring Boot’s annotations, @DataMongoTest and @DataJpaTest, can be used to conveniently set up tests targeted for persistence; this is where a database is started automatically before the test runs, but no other infrastructure that the microservice will need at runtime, for example, a web server such as Netty, is started up. To handle the startup and teardown of databases, we have used Testcontainers, which runs the databases in Docker containers. 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...

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