Successfully Scaling Java Applications in Spring
While clustering applications may increase the overall availability of business services, it certainly does not imply that they may easily scale out to provide greater system capacity or performance. Further, most clustering solutions leave the effort of addressing non-trivial issues like data, space, recovery and process partitioning (affinity) across a cluster to the developer, ultimately increasing application and deployment complexity and impeding the rate at which solutions may be delivered.
In this presentation, we will introduce and examine the Data Grid paradigm, and in particular how Spring applications may apply it to increase the availability, reliability, scalability and performance of systems, while at the same time reducing system complexity and improving delivery.
Patrick Peralta is a Software Engineer for Oracle, specializing in Coherence. Patrick’s 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 he especially enjoys participating in Open Source. Patrick has a BS in computer science from Stetson University in Florida.
September 19th (3rd Wednesday)
- Social – 6:30 PM
- Meeting – 7:00 PM
WHO TO TELL:
Tell your friends in the office who are interested in Spring.
WHERE TO GO:
Our meetings are now at the offices of Improving Enterprises. Directions and information can be found on our meeting location page.