Book Image

Spring 5.0 Cookbook

By : Sherwin John C. Tragura
Book Image

Spring 5.0 Cookbook

By: Sherwin John C. Tragura

Overview of this book

The Spring framework has been the go-to framework for Java developers for quite some time. It enhances modularity, provides more readable code, and enables the developer to focus on developing the application while the underlying framework takes care of transaction APIs, remote APIs, JMX APIs, and JMS APIs. The upcoming version of the Spring Framework has a lot to offer, above and beyond the platform upgrade to Java 9, and this book will show you all you need to know to overcome common to advanced problems you might face. Each recipe will showcase some old and new issues and solutions, right from configuring Spring 5.0 container to testing its components. Most importantly, the book will highlight concurrent processes, asynchronous MVC and reactive programming using Reactor Core APIs. Aside from the core components, this book will also include integration of third-party technologies that are mostly needed in building enterprise applications. By the end of the book, the reader will not only be well versed with the essential concepts of Spring, but will also have mastered its latest features in a solution-oriented manner.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Applying Hazelcast distributed caching


In Chapter 9, Spring Boot 2.0, we introduced a recipe that highlighted Ehcache configuration with the Spring Boot 2.0 development. However, Ehcache works fine with applications deployed to a single-node deployment environment only. Once this simple architecture starts to adapt the distributed or clustered microservices set up, a new object caching mechanism that fits in a distributed environment must also be used, replacing the old caching. Unfortunately, Ehcache is not scalable when it comes to infrastructure changes like this. This recipe will show us a procedure that will implement a distributed caching mechanism suitable for a loosely-coupled architecture.

Getting ready

Utilize again the Hibernate project ch12-hiber in order to show the step-by-step process of how to apply Hazelcast distributed caching.

How to do it...

Let us assume that there is a distributed setup of microservices, which can dockerized or not, just for us to apply the following steps...