Category Archives: Development

Concurrency 101

Last week i had a meeting with Guy Korland our VP R&D with a prospect where we discussed patterns that will enable them to take advantage of new multicore hardware. Early in the discussion it was was apparent that we… Continue reading

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Custom Matching-Two Dimensional Cartesian space Comparison using GigaSpaces

Usually you index and execute queries using primitive fields (long, float, string, etc). The fields may be within the root level of the space object, or embedded within nested objects within the space object. You may construct a query using … Continue reading

Posted in Application Architecture, Application Performance, Benchmarks, Data Grid, Development, GigaSpaces, Java, JavaSpaces, OpenSpaces, sba, space-based architecture | Leave a comment

7.0.1 – One giant step for XAP.NET

Even though 7.0.1 is considered a minor version, when it comes to XAP.NET, it offers very powerful set of new features which improve the initial user experience, better monitoring capabilities and most importantly, exposing remote services over the grid. I … Continue reading

Posted in .Net, Development, Events, GigaSpaces, sba, space-based architecture | Tagged | 1 Comment

The Master-Worker Pattern

The Master-Worker Pattern (sometimes called Master-Slave pattern) is used for parallel processing. It follows a simple approach that allows applications to perform simultaneous processing across multiple machines or processes via a Master and multiple Workers. In GigaSpaces XAP, you can … Continue reading

Posted in Application Architecture, Application Performance, Data Grid, Development, Events, GigaSpaces, Java, JavaSpaces, OpenSpaces, sba, SOA, space-based architecture, Spring Framework | Leave a comment

JavaOne 2009 Lab – PetClinic in the Clouds

This year JavaOne will include really cool lab – PetClinic in the Clouds: Scaling a Classic Enterprise Application. In this Hands-on Lab, participants will take a popular Web application (the Spring PetClinic sample application) and modify it so that it … Continue reading

Posted in Application Architecture, Application Performance, Caching, Cloud, Data Grid, Development, Events, GigaSpaces, Hibernate, Java, JavaSpaces, SOA, space-based architecture, Spring Framework | Leave a comment