Get the edge in building enterprise applications by learning a distributed caching and data grid solution. This introduction to Infinispan will expand your Java capabilities to new levels of performance and scalability.
In today's competitive business world, Enterprise systems must be able to deliver highly available, high transaction volumes with an increasing number of users. Infinispan enables you to do this as well as share and distribute data among servers in the most efficient way possible so that you achieve faster response times, while trying to avoid single points of failure.
Infinispan Data Grid Platform will teach you the most important concepts for building Enterprise applications. Using Infinispan will give you a decisive competitive advantage over the standard clustered applications that are typical in the enterprise today. This, the only book to cover Infinispan, offers detailed instructions for installing, configuring, and effectively using the Infinispan platform. You will learn how to utilize and make the most out of every feature of its API.
Progress from examples of adding, removing, and evicting data from a cache, to more complex scenarios such as clustering and distributing data more efficiently in the grid. Throughout the book, you will follow a simple example of an API using a ticket booking system, which will help you to learn how to set up robust and scalable Infinispan configurations. You will also see a complete demonstration of integrating the Infinispan data grid platform with JBoss AS 7
What will you learn from this book
By following a simple ticket booking example, you will learn how to use each of Infinispan's features in the real-world. Lots of practical examples and screenshots help you to get to grips with Infinispan quickly and easily.
Who this book is written for
This book is for Enterprise developers and architects who want to use a distributed caching and data grid solution. You should have programming knowledge of Java and a general familiarity with concepts like data caching and clustering.