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Hands-On Microservices with Spring Boot and Spring Cloud

You're reading from   Hands-On Microservices with Spring Boot and Spring Cloud Build and deploy Java microservices using Spring Cloud, Istio, and Kubernetes

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Product type Paperback
Published in Sep 2019
Publisher Packt
ISBN-13 9781789613476
Length 668 pages
Edition 1st 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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Table of Contents (25) Chapters Close

Preface 1. Section 1: Getting Started with Microservice Development Using Spring Boot
2. Introduction to Microservices FREE CHAPTER 3. Introduction to Spring Boot 4. Creating a Set of Cooperating Microservices 5. Deploying Our Microservices Using Docker 6. Adding an API Description Using OpenAPI/Swagger 7. Adding Persistence 8. Developing Reactive Microservices 9. Section 2: Leveraging Spring Cloud to Manage Microservices
10. Introduction to Spring Cloud 11. Adding Service Discovery Using Netflix Eureka and Ribbon 12. Using Spring Cloud Gateway to Hide Microservices Behind an Edge Server 13. Securing Access to APIs 14. Centralized Configuration 15. Improving Resilience Using Resilience4j 16. Understanding Distributed Tracing 17. Section 3: Developing Lightweight Microservices Using Kubernetes
18. Introduction to Kubernetes 19. Deploying Our Microservices to Kubernetes 20. Implementing Kubernetes Features as an Alternative 21. Using a Service Mesh to Improve Observability and Management 22. Centralized Logging with the EFK Stack 23. Monitoring Microservices 24. Other Books You May Enjoy

Understanding Spring Data

Spring Data comes with a common programming model for persisting data in various types of database engine, ranging from traditional relational databases (SQL databases) to various types of NoSQL database engine, such as document databases (for example, MongoDB), key-value databases (for example, Redis), and graph databases (for example, Neo4J).

The Spring Data project is divided into several subprojects and in this book we will use Spring Data subprojects for MongoDB and JPA that have been mapped to a MySQL database.

JPA stands for Java Persistence API and is a Java specification about how to handle relational data. Please go to https://jcp.org/aboutJava/communityprocess/mrel/jsr338/index.html for the latest specification, which is JPA 2.2 at the time of writing.

The two core concepts of the programming model in Spring Data are entities...

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