Archive for the 'Data Grid' Category

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Linear Scalability Does Exist, Ted

April 27th, 2008

I enjoyed reading Ted Dziuba’s I’m Going to Scale My Foot Up Your Ass, I really did. I like the ‘tude and I like the style of writing. Reminiscent of the BileBlog (RIP), which some of my colleagues think is…

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 [...]

Oracle aquisition of BEA - The kiss of death for the “open” J2EE App Server

January 18th, 2008

The claim to fame of the J2EE application server market was the ability to define a standard platform for running business applications, and then have multiple vendors competing on providing the best implementation of that standard. Oracle’s acquisition of BEA…

Excel That Scales: The Movie

January 18th, 2008

Back in June of last year I wrote about our partnership with Microsoft and our plans to work together on a solutions for scaling out computations on Microsoft Excel spreadsheets. Since then Microsoft and us both released joint material (see…

TuneWiki scale-out architecture

January 11th, 2008

Geva Perry, and Jim Liddle wrote nice posts about the work that was done by our partner GridDynamics to scale-out TuneWiki using GigaSpaces. “GridDynamics is a GigaSpaces partner, headed by Victoria Livschitz, that has been doing tremendous work around our…

Enterprise Data Grid and Excel

January 9th, 2008

At the latest annual event of the Israeli Association of Grid Technologies (IGT) Nati Shalom talked about different trends in grid technology and how simplicity of the grid is key for enabling the adoption of grid technologies in mainstream applications.
In his presentation Nati also shows how easy it is to set up Excel to [...]

What a year!

January 5th, 2008

For the past few days I’ve been trying to write a 2007 summary, but I found this task to be extremely difficult because so many things happened this year on so many fronts. I thought that it would probably be…

GigaSpaces Offers a Free Distributed Cache for Hibernate

November 14th, 2007

With the latest release of GigaSpaces eXtreme Application Platform (XAP) 6.0.2 we've refined the integration with Hibernate, the object/relational persistence and query service.
Now the Hibernate integration can be used in two ways; One is to use GigaSpaces as 2nd level distributed cache, replacing the default caching solution that comes with Hibernate. The second way [...]

Nope. Still don’t see Oracle

October 23rd, 2007

Although I usually let personal attacks slip by, I couldn’t let this post from Cameron Purdy remain unanswered, because it’s kind of shameless. And BTW, sorry it took me some time, but like Cameron, I too am friggin’ busy with…

GigaSpaces 6.0 - Download Now!

June 21st, 2007

Last week we announced the upcoming release of GigaSpaces version 6.0 dubbed the Extreme Application Platform (or XAP - pronounced Zap!).
This week we made Release Candidate 1 publicly available for download (until now it was only available for members of our Early Access Program ). Below are some useful links and the full text of [...]

Excel that Scales - Grid Meets the Middle Office

May 16th, 2007

   
Andy Doddington of Bank of America discusses how the firm used GigaSpaces ' implementation of JavaSpaces technology to build a scalable trading analytics application for the middle office in the following paper City#Grid Special Report (Page 12)
Andy raises interesting points about common challenges we're seeing in middle office analytical applications built with Microsoft Excel:
"As [...]

Network latency vs. end-to-end latency

May 4th, 2007

Geva Perry wrote an excellent blog on Extreme Transactions processing on wall street.
"So basically you now have thousands and thousands of machines buying and selling stocks and other securities from other machines based on extremely complex (and automated) computer models. So it has become a latency game — low-latency, that is."

When it comes to [...]

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