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Mastering Spring 5.0

You're reading from   Mastering Spring 5.0 Master reactive programming, microservices, Cloud Native applications, and more

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787123175
Length 496 pages
Edition 1st Edition
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In28Minutes Official In28Minutes Official
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In28Minutes Official
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Table of Contents (14) Chapters Close

Preface 1. Evolution to Spring Framework 5.0 FREE CHAPTER 2. Dependency Injection 3. Building a Web Application with Spring MVC 4. Evolution toward Microservices and Cloud-Native Applications 5. Building Microservices with Spring Boot 6. Extending Microservices 7. Advanced Spring Boot Features 8. Spring Data 9. Spring Cloud 10. Spring Cloud Data Flow 11. Reactive Programming 12. Spring Best Practices 13. Working with Kotlin in Spring

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...

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