Book Image

Mastering Spring 5.0

By : In28Minutes Official
Book Image

Mastering Spring 5.0

By: In28Minutes Official

Overview of this book

Spring 5.0 is due to arrive with a myriad of new and exciting features that will change the way we’ve used the framework so far. This book will show you this evolution—from solving the problems of testable applications to building distributed applications on the cloud. The book begins with an insight into the new features in Spring 5.0 and shows you how to build an application using Spring MVC. You will realize how application architectures have evolved from monoliths to those built around microservices. You will then get a thorough understanding of how to build and extend microservices using Spring Boot. You will also understand how to build and deploy Cloud-Native microservices with Spring Cloud. The advanced features of Spring Boot will be illustrated through powerful examples. We will be introduced to a JVM language that’s quickly gaining popularity - Kotlin. Also, we will discuss how to set up a Kotlin project in Eclipse. By the end of the book, you will be equipped with the knowledge and best practices required to develop microservices with the Spring Framework.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Spring Cloud Stream


Spring Cloud Stream is used to create individual microservices involved in a stream and define the connection points to a message broker. Spring Cloud Stream is built on top of two important Spring Projects:

  • Spring Boot: To enable the creation of production-ready microservices
  • Spring Integration: To enable microservices to communicate over message brokers

Some of the important features of Spring Cloud Stream are as follows:

  • Bare minimum configuration to connect a microservice to a message broker.
  • Support for a variety of message brokers--RabbitMQ, Kafka, Redis, and GemFire.
  • Support for persistence of messages--in case a service is down, it can start processing the messages once it is back up.
  • Support for consumer groups--in cases of heavy loads, you need multiple instances of the same microservice. You can group all these microservice instances under a single consumer group so that the message is picked up only by one of the available instances.
  • Support for partitioning--there...