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

Summary


Spring Cloud makes it easy to add Cloud-Native features to your microservices. In this chapter, we looked at some of the important patterns in developing Cloud-Native applications and implemented them using various Spring Cloud projects.

It is important to remember that the field of developing Cloud-Native applications is still in its inception phase--in its first few years. It would need more time to mature. Expect some evolution in patterns and frameworks in the years to come.

In the next chapter, we will shift our attention to Spring Data Flow. Typical use cases on the cloud include real-time data analytics and data pipelines. These use cases involve the flow of data between multiple microservices. Spring Data Flow provides patterns and best practices for distributed streaming and data pipelines.