GigaSpaces on Application Scalability | Open Source PaaS and More

Using the Cloudify Player as an Open Source Framework for Building Your Own Cloud Application Marketplace on OpenStack

Nati Shalom — Mon, 13 May 2013 14:44:41 +0000

In the previous post, I outlined the main lessons learned from the Amazon Cloud Marketplace and suggested an alternative approach for building an open marketplace. In this post I'll refer to a specific implementation of that alternative approach through a...

Real-Time Big Data with Storm, Cassandra, and XAP

Nati Shalom — Sun, 07 Apr 2013 13:01:11 +0000

Real-time Big Data is becoming more and more common in Big Data systems. One of the most common frameworks used for running real-time Big Data system is Twitter Storm backed by a NoSQL database, as shown in the diagram below:...

GigaSpaces and Storm Part 2: XAP Integration

dewayne — Mon, 25 Mar 2013 17:46:46 +0000

Introduction In my previous post, I discuss the architecture of Storm and described some Cloudify recipes that I wrote to deploy and manage Storm (and Zookeeper). In this post, I'll leave the Cloudify world and address the combination of Storm and XAP: why it makes sense, and how I did it. How Storm Is

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GigaSpaces And Storm Part 1: Storm Clouds

dewayne — Thu, 07 Mar 2013 22:46:33 +0000

Introduction Real-time processing is becoming very popular, and Storm is a popular open source framework and runtime used by Twitter for processing real-time data streams. Storm addresses the complexity of running real time streams through a compute cluster by providing an elegant set of abstractions that make it easier to reason about your problem domain

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Carrier Grade Cloud/PaaS

Nati Shalom — Thu, 07 Mar 2013 09:20:30 +0000

Cloud is becoming the next-generation backbone for running the web. As the technology for building and running cloud infrastructure matures, it is starting to spread out into more industries and revolutionizing how even the most conservative organizations are running their...

Big-Data-Real-Time-Performance

Shay Hassidim — Tue, 05 Mar 2013 23:17:06 +0000

Big-Data-Real-Time-Performance - Enjoying both worlds with one Architecture! The efficiency of business processes is everything. Companies must be in a position to quickly react to new opportunities that arise. A successful organization today must be able to extract critical business information out of the incoming raw data and have it available at fingertips of the decision

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Cloudifying High Availability

Ali Hodroj — Mon, 04 Mar 2013 20:31:34 +0000

The following is Part 1 of 2 on architecting highly available cloud applications using Cloudify. The first part introduces the concepts, challenges, and solutions to achieve highest levels of availability and disaster recovery in the cloud. The second part revisits the concept to provide a solution architecture and demo source code showing a real-world

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XAP 9.5 GA Is Here

Yaron — Sun, 03 Mar 2013 21:50:15 +0000

I’m proud to announce today the release of XAP 9.5, which is another important milestone in the XAP 9 release train. 9.5 is a direct continuation of our efforts and focus on real-time processing of big data streams, improved data grid performance, and better manageability and end-user visibility. In this post I’d like to give

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What is Cloudify? an End User Perspective

Nati Shalom — Wed, 27 Feb 2013 18:09:00 +0000

I just finished a great call with Joseph Weitekamp Joe got introduced to Cloudify by one of my friends and shared with me his perspective on what is Cloudify. I realy liked the way he was able to put this...

XAP Distributed Task Execution vs Map/Reduce

dewayne — Fri, 22 Feb 2013 23:32:54 +0000

Parallel processing is one of XAP's main strengths, and it is supported in a few different ways. Map/reduce is a parallel processing algorithm (exemplified by Hadoop) that shares some things with XAP parallelism, but is considerably different in many ways. This purpose of this post is to compare and contrast XAP parallelism with that provided

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