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

Chapter 10. Spring Cloud Data Flow

Spring Data Flow brings the microservices architecture into typical data flow and event flow scenarios. We will discuss more about these scenarios later in this chapter. Building on top of other Spring Projects, such as Spring Cloud Stream, Spring Integration, and Spring Boot, Spring Data Flow makes it easy to define and scale use cases involving data and event flows using message-based integration.

In this chapter, we will discuss the following topics:

  • Why do we need asynchronous communication?
  • What is Spring Cloud Stream? How does it build on top of Spring Integration?
  • Why do we need Spring Data Flow?
  • What are the important concepts in Spring Data Flow you would need to understand?
  • What are the use cases where Spring Data Flow is useful?

We will also implement a simple event flow scenario with three microservices acting as the source (application generating the events), processor, and sink (application consuming events). We will implement the microservices using...