- Spring Data, a common programming model based on entities and repositories, can be used for different types of database engines. From the source code examples in this chapter, what are the most important differences in the persistence code for MySQL and MongoDB?
- What is required to implement optimistic locking using Spring Data?
- What is MapStruct used for?
- What does it mean that an operation is idempotent and why is that useful?
- How can we access the data that is stored in the MySQL and MongoDB databases without using the API?
Hands-On Microservices with Spring Boot and Spring Cloud
By :
Hands-On Microservices with Spring Boot and Spring Cloud
By:
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
Copyright and Credits
About Packt
Contributors
Preface
Free Chapter
Introduction to Microservices
Introduction to Spring Boot
Creating a Set of Cooperating Microservices
Deploying Our Microservices Using Docker
Adding an API Description Using OpenAPI/Swagger
Adding Persistence
Developing Reactive Microservices
Introduction to Spring Cloud
Adding Service Discovery Using Netflix Eureka and Ribbon
Using Spring Cloud Gateway to Hide Microservices Behind an Edge Server
Securing Access to APIs
Centralized Configuration
Improving Resilience Using Resilience4j
Understanding Distributed Tracing
Introduction to Kubernetes
Deploying Our Microservices to Kubernetes
Implementing Kubernetes Features as an Alternative
Using a Service Mesh to Improve Observability and Management
Centralized Logging with the EFK Stack
Monitoring Microservices
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