Category Archives: Caching

Possible Impossibility – The Race to Zero Latency

I recently read a book called: "Physics of the Impossible" by the theoretical physicist Michio Kaku. Dr. Kaku lists "Possible Impossibilities" and classifies these into different categories where all these "impossibilities" may happen in the near/distant future. When talking about "zero … Continue reading

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

new and modified best practices

Our best practices wiki is growing rapidly and full with good and useful material. Here are few new best practices added lately: - Finding Partition Load – routing data based on partition load. - Even Data Distribution – simple example explains how to evenly partition … Continue reading

Posted in .Net, Application Architecture, Application Performance, Benchmarks, Caching, Data Grid, Development, GigaSpaces, Java, JavaSpaces, OpenSpaces, Share Nothing Architecture, space-based architecture | Leave a comment

Using GigaSpaces XAP as a DataGrid or Distributed Data Cache

Although version 7.0 of the Enterprise version of GigaSpaces XAP contains much more than just DataGrid or Caching, for many customer the need for reduced latency and increased performance as well as contention reduction is pressing and for these customers these needs are often a pre-cursor to their first foray into using GigaSpaces. I recently received a set of slide from the GigaSpaces Deputy CTO, Shay Hassidim, which I though were worth posting as they not only go through some of the use cases for Caching and DataGrid but they also show the topologies and patterns that can be used.


I’ve embedded them below but as I know this blog is syndicated, and sometimes the embedding does not work, you can also access them direct from slideshare here.

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Posted in Caching, Data Grid, GigaSpaces, syndicated | Tagged | Leave a comment

New in XAP 7.0: Optimized concurrent access to external data source

One of the most common topologies of GigaSpaces is a cluster of spaces with an external data source and a mirror service, which persist the data to the data source asynchronously. This is commonly known as write behind. Using this … Continue reading

Posted in Caching, Data Grid, GigaSpaces, Hibernate | Leave a comment

Gaming Scalability Event Slides

The Slides I presented at the Gaming Scalability event on the 9th July can be viewed below:

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Posted in Caching, Data Grid, GigaSpaces, syndicated | Tagged | Leave a comment