Across industries, from financial services to the Internet, transaction and data volumes are growing exponentially and need to be processed in real time. While the Spring Framework offers developers a simpler, more flexible way to build their applications, the scalability and performance of such systems is still limited by the underlying architecture, regardless of the programming model. How do you move your existing stateful, tier–based application to linearly scalable services?

The Definitive Guide to GigaSpaces will present a three–step solution to this challenge for each of the three tiers encountered in the enterprise application. We will show how you can keep your existing programming model intact, while focusing on abstracting and replacing the underlying implementation of the middleware stack.

With this approach, the transition from an existing tier–based architecture to a scale–out model is simple and intuitive. We will use Spring and GigaSpaces/OpenSpaces as the core abstraction platforms.

What you’ll learn

• Scale Spring without the complexity of JEE.
• Scale the data, messaging, and business logic tiers.
• Build a new, complex Web 2.0 application without needless worry about architectural issues.
• Focus time on designing complex infrastructure since you’re more worried on time to market.
• Gain an understanding of the solution with lots of code examples that ultimately deal with end–to–end scalability.
• Get high–performance SOA and overall benchmarks.
• Pull it together with a capstone cast study example and a summary.

Who is this book for?

Java/Spring developers, architects, and technology officers who are looking for ways to maximize development for most efficient deployments scaled to real time processing, especially for those dealing with high–transaction and heavy–volume environments.