Category Archives: Hibernate

New Article: “Considering Datastores.”

I just published “Considering Datastores” in the “articles” section of my blog, a piece discussing various data storage mechanisms and their strengths and weaknesses compared to each other. Continue reading

Posted in GigaSpaces, Hibernate, Java, JavaSpaces, 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

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

Ultra-Scalable and Blazing-Fast: The Sun Fire x4450-Intel 7460-GigaSpaces XAP Platform – 1.8 million operations/sec!

Introduction Over the past several years highly concurrent applications have faced some serious challenges when trying to scale on multi core machines. GigaSpaces scale-out-application server aims to solve this problem by freeing the user from dealing with the need to … Continue reading

Posted in Application Architecture, Application Performance, Benchmarks, Caching, Data Grid, Development, GigaSpaces, Hibernate, J2EE, Java, JavaSpaces, sba, SBA FAQs, Share Nothing Architecture, space-based architecture | 6 Comments

Integrating GigaSpaces persistency service into an existing tier based system

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 … Continue reading

Posted in Application Architecture, Application Performance, Caching, Data Grid, Development, GigaSpaces, Hibernate, J2EE, Java, JavaSpaces, sba, SOA, space-based architecture | 2 Comments