Book Image

JBoss: Developer's Guide

By : Elvadas Nono Woguia
Book Image

JBoss: Developer's Guide

By: Elvadas Nono Woguia

Overview of this book

Have you often wondered what is the best JBoss product to solve a specific problem? Do you want to get started with a specific JBoss product and know how to integrate different JBoss products in your IT Systems? Then this is the book for you. Through hands-on examples from the business world, this guide presents details on the major products and how you can build your own Enterprise services around the JBoss ecosystem. Starting with an introduction to the JBoss ecosystem, you will gradually move on to developing and deploying clustered application on JBoss Application Server, and setting up high availability using undertow or HA proxy loadbalancers. As you are moving to a micro service archicture, you will be taught how to package existing Java EE applications as micro service using Swarm or create your new micro services from scratch by coupling most popular Java EE frameworks like JPA, CDI with Undertow handlers. Next, you will install and configure JBoss Data grid in development and production environments, develop cache based applications and aggregate various data source in JBoss data virtualization. You will learn to build, deploy, and monitor integration scenarios using JBoss Fuse and run both producers/consumers applications relying on JBoss AMQ. Finally, you will learn to develop and run business workflows and make better decisions in your applications using Drools and Jboss BPM Suite Platform.
Table of Contents (10 chapters)

Making Better Decisions in Your Applications

In a traditional imperative programming model, a developer explicitly instructs the runtime engine what to do through statements, conditional structures, and loops. In this context, an application's business logic is embedded in the developer code, and any change in the business logic implies a code update and a complete release cycle. However, there are some complex problems where imperative programming cannot provide a satisfactory solution within a reasonable time. One approach to solving such kinds of problems is to rely on expert systems and constraint optimization tools. It is at this level that declarative programming takes place; instead of telling it what to do, as in imperative programming, the developer tells the system how to solve the problem through structured rules. The system then applies various pattern matching...