JBoss application server tutorials

In this tutorial we will learn how to create a remote JMS connection to a Queue which has been deployed on WildFly application server. 

In this tutorial we will learn how to develop a simple Web application for Mobile devices using PrimeFaces mobile extension as JSF API. 

This tutorial discusses about configuring and monitoring transactions using the Java Transaction API(JTA) on AS77/Wildfly application server.

This tutorial shows how to use JSON Processing (JSR-353) API, part of the Java EE 7 specification, on WildFly 8 application server. 
JSON is a data exchange format widely used in web applications as alternative to XML model. Up to now, in order to create and parse your JSON models you had to use opensource frameworks like JSON.simple. Thanks to JSR-353, your Java EE 7 compliant server is already bundled with all the API required to parse, transform, and query JSON data using the object model or the streaming model.

This tutorial contains an excerpt of the upcoming WilfFly Book which shows how to create a load balancing configuration for WildFly 8 using the older Apache Tomcat mod_jk. Although the recommended load balancing solution for clustering JBoss AS7/Wildfly is mod_cluster you should include in your administrator's skill also the earlier Apache Tomcat mod_jk connector in some scenarios. Configuring it requires just a couple of minutes so why not trying it ?  

This tutorial discusses about Batch Applications for the Java Platform (JSR-352) which can be used to define, implement and running batch jobs. Batch jobs are composed of a set of tasks which can be automatically executed without user interaction. These tasks are executed periodically or when resource usage is low and they often process large amounts of information such as log files, database records or images. Examples include billing, report generation, data format conversion, and image processing. These tasks are called batch jobs. The batch framework is a rather rich one as it includes a Java API an XML configuration and a batch runtime.