SpringOne 2GX 2011

Chicago, October 25-28, 2011

Magnificent Mile Marriott
Downtown Chicago
540 North Michigan Ave.
Chicago, Illinois   60611
1 (800) 228-9290
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Patrick Peralta

Oracle Software Enginer and Coherence Specialist

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.

Blog

COJUG, etc.

Posted Tuesday, November 13, 2007

Tmore »

Spring and EJB 3 and NEJUG

Posted Saturday, November 10, 2007

Back in 2004 at the Server Side Symposium, I remember watching Linda DeMichiel present EJB 3 to the world for the first time. At the time I thought it was remarkably similar to the Spring/Hibernate project that I was developing, and I know that many omore »

About User Groups

Posted Wednesday, October 31, 2007

Reading through JavaLobby the other day I came across this article discussing JUG attendance. They discussed a poll that concluded that most Java developers don’t regularly attend JUGs. This wasn’t a big surprise to me; my observation is tmore »
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Presentations

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.more »

Rapid Fire: The Coherence Data Grid

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Patrick Peralta By Patrick Peralta

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.






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