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JBoss: Developer's Guide

JBoss: Developer's Guide

By : Woguia
4 (2)
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JBoss: Developer's Guide

JBoss: Developer's Guide

4 (2)
By: 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)
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Integrating Applications with JBoss Fuse

In Chapter 5, Exposing Data as a Service, we covered enterprise data integration in the data center through virtualization. Data virtualization is centered on data views and works on the principle of providing data on demand and covers both internal and external data sources. Most integration use cases with data beyond the data center are currently governed by some operational constraints that are not completely fulfilled or met by data virtualization. Among them we can list

  • Complex event processing
  • Messaging and interoperability
  • Routing and service orchestration

To covers all these constraints and more, computer science invented the Enterprise Services Bus (ESB) to provide a reliable communication layer between two or more enterprise components. ESB defines a set of rules and principles for integrating numerous applications together...

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