Rapid Fire: The Coherence Data Grid

In this session we will examine the architecture of a typical Spring application and some of the scalability challenges that may arise, in particular the issue of state and data management.

We will discuss various types of state and strategies for handling state via a Coherence Data Grid that will allow Spring applications to linearly scale.

Additionally we will explore topics such as caching patterns, the Data Grid paradigm (and how it is different from 'normal' caching) and ways in which a Coherence Data Grid can leverage infrastructure provided by Spring.

About Patrick Peralta

Patrick Peralta is a software engineer for Oracle, specializing in Coherence and middleware Java. Patrick's ten years of software development experience includes implementing Java/J2EE middle tier solutions, web applications, system integrations, and Swing desktop clients. Prior to joining Oracle, Patrick was a senior developer at Symantec, working on J2EE and integration systems. He enjoys mentoring others on technology and participating in user groups and the developer community. Patrick has a BS in computer science from Stetson University in Florida.

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