Archive for the 'Hibernate' Category
New Article: “Considering Datastores.”
April 19th, 2010I 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.
Related posts:
- Commentary on the datastore benchmark
- Hibernate is faster than I thought it was.
- Quick Advice for Spring users
New in XAP 7.0: Optimized concurrent access to external data source
July 13th, 2009One 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 topology removes the bottleneck that the data source can create due to the obvious performance [...]
JavaOne 2009 Lab - PetClinic in the Clouds
May 22nd, 2009This 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 can be deployed on the Amazon EC2 cloud computing infrastructure. They will be exposed to [...]
Ultra-Scalable and Blazing-Fast: The Sun Fire x4450-Intel 7460-GigaSpaces XAP Platform - 1.8 million operations/sec!
February 9th, 2009Introduction
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 handle concurrency while building his distributed application.
For the last few weeks we ran a joint [...]
Integrating GigaSpaces persistency service into an existing tier based system
April 23rd, 2008A 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 [...]







