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Mastering Spring 5.0

Mastering Spring 5.0

By : In28Minutes Official
3.7 (3)
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Mastering Spring 5.0

Mastering Spring 5.0

3.7 (3)
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 (14 chapters)
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Summary

Over the course of the last decade and a half, Spring Framework has dramatically improved the experience of developing Java Enterprise applications. With Spring Framework 5.0, it brings in a lot of features while significantly increasing the baselines.

In the subsequent chapters, we will cover dependency injection and understand how we can develop web applications with Spring MVC. After that, we will move into the world of microservices. In Chapters 5, Building Microservices with Spring Boot, Chapter 6, Extending Microservices, and Chapter 7, Advanced Spring Boot Features, we will cover how Spring Boot makes the creation of microservices simpler. We will then shift our attention to building applications in the Cloud with Spring Cloud and Spring Cloud Data Flow.

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