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

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

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

Benchmarking on the Cloud – Your Definitive Check List!

Introduction Evaluating a new software product usually involves running benchmark tests many times, to assess the different capabilities of the product using some measurable elements. Generally, the end result of such tests is a matrix that includes the product latency,

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

Local Cache, Local View or Embedded Space? – GigaSpaces Data Access – How and Why

GigaSpaces includes several runtime options and API to access the IMDG. These includes: – Local Cache – Local View (available only for GigaSpace) – Embedded Space – Remote space Where the API to access your data could be GigaSpace API