Archive for the 'Application Performance' Category

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Closing the gap between multi-core hardware and enterprise applications

October 7th, 2008

Both Nati Shalom and Geva Perry wrote here before about the missing piece in Cloud Computing and in Virtualization, and how the GigaSpaces middleware provides this piece.

Case in point: GigaSpaces and Sun Microsystems recently teamed up to address some aspects of this very problem. We demonstrated how GigaSpace’s eXtreme Application Server (XAP) is able to [...]

Scaling-Out Web Application with GigaSpaces XAP. Part I

August 7th, 2008

Overview
Building a reliable, automatic scaled-out infrastructure for your web application is not a job for the faint of heart. It often involves deep knowledge of your application servers or getting expert consulting. Sometimes both. GigaSpaces XAP application platform will let you do that, and more, with just a few easy steps and at a much [...]

How I Ported an Online Gaming Application from (Not-So-) Good-Old-JEE to GigaSpaces in Only 4 Days

July 24th, 2008

I recently had the interesting challenge of moving a traditional JEE shop into the next generation of application server technology. You might be surprised to hear that the transformation took me only four days (two of them spent on Hibernate issues!). The application was an online gaming application, originally implemented in EJB 2.0 and running [...]

Integrating GigaSpaces persistency service into an existing tier based system

April 23rd, 2008

A common issue I’m facing recently is how to integrate existing tier based applications with GigaSpaces persistency service, AKA persistency as a service (Paas) or mirror . The motivation is often a result of the acknowledgment that a standard tier based application fails to scale when facing the database throughput limitation.
Software Caching technologies (overlooking their [...]

Sharing Results of Expensive Computations

March 25th, 2008

A customer recently contacted us to discuss how to use GigaSpaces XAP to minimize the number of times an expensive computation must run. The particular domain is option price stress testing, but the problem is more general and the solution demonstrates a couple of interesting GigaSpaces XAP features.
Consider a service that executes an expensive [...]

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