Facebook Twitter Gplus LinkedIn YouTube E-mail RSS
Home Archive for category "GigaSpaces" (Page 2)

Guest Post by Patrick May: Scaling the Web Tier

Published on February 26, 2014 by in GigaSpaces

As discussed in previous posts, GigaSpaces XAP supports near linear scalability of distributed data caches and grid processing algorithms. GigaSpaces can also deploy web application servers in the same highly available, self-healing environment in which it manages data caches, distributed computing algorithms, and remote software services. This example will show how to build, deploy, and access REST services

READ MORE…

 
 Share on Facebook Share on Twitter Share on Reddit Share on LinkedIn
No Comments  comments 

Industry Survey Shows: Organizations Turn to Stream Processing for their Big Data Needs

Published on December 16, 2013 by in GigaSpaces

In a stream processing model, data is processed as it arrives to the Big Data system. With a batch processing model, only once the data is stored does the system run a variety of batch analytics – typically through a map/reduce style of processing. Facebook and Twitter are good examples of stream processing models in

READ MORE…

 
 Share on Facebook Share on Twitter Share on Reddit Share on LinkedIn
No Comments  comments 

XAP on Cloudify Part 2 : Multi-site Replication

Introduction Since version 8, XAP has had the capability to replicate data between spaces across multiple sites. The capability is well described in the product wiki. Although many scenarios are supported, the canonical use case is that of replication between multiple sites in a WAN context, for either disaster recovery or geographical load balancing. As

READ MORE…

 
 Share on Facebook Share on Twitter Share on Reddit Share on LinkedIn
1 Comment  comments 
© GigaSpaces on Application Scalability | Open Source PaaS and More