Announcing Infochimps Cloud 3.2

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Moving petabytes or even hundreds of terabytes of data to the public cloud can be costly and time consuming work. Since its conception, the goal of the Infochimps Cloud has been to provide the elasticity, scalability, and resiliency of cloud-based big data infrastructure, but in any environment you choose. That may mean the public cloud such as Amazon Web Services, but that may also mean a virtual private cloud, an outsourced data center such as Switch SuperNAP, or your own internal corporate data center.

With the latest release of the Infochimps Cloud, we’re excited to fully realize that vision of easily to moving your data analytics solution to your data, not just moving data to your analytics solution.

Full Private Cloud Support
Infochimps provides not only provides analytics cloud services, but also virtualization integration. With this newest release, the Infochimps Cloud fully integrates with VMware® vSphere®. This integration empowers customers to deploy the full Infochimps stack internally, leveraging their own data center and their own hardware, and either their own VMware software or an integrated Infochimps + VMware solution.

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This virtualization integration framework, powered by Ironfan and Chef, enables the Infochimps Cloud to deploy to any data center where hardware and virtualization are available. For example, Infochimps partner Switch has a Tier 4 facility in Las Vegas with a 100% data center uptime guarantee, where Infochimps can quickly and seamlessly deploy big data solutions that have unrivaled reliability and high availability.

Ultimate in Cloud Mobility
One of the amazing differentiators of utilizing Infochimps Cloud is the concept of cloud mobility. Start in one environment, such as Amazon Web Services, to quickly build your application and provide a development and testing platform for your team. At any time, you can quickly migrate both your cloud services infrastructure and your big data application logic to a different environment, such as SuperNAP or your internal data center, for your final production application.

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This is enabled by both the Ironfan homebase and application Deploy Pack frameworks, which provide folder structures to encapsulate your infrastructure and application code, and seamlessly allow them to plug into different hardware and different cloud services nodes respectively.

While this capability makes a lot of sense for applications that have sensitive data or security concerns, this also is extremely useful when customers want to get started as quickly as possible. Infochimps can turnover a completely configured Amazon Web Services environment in just a few days, developers and analysts can begin cranking away, and simultaneously a data center environment can be prepped for the eventual second stage of infrastructure deployment.

Improved Developer and Data Scientist Tools
Also major improvements have been made the user experience in working with Infochimps Cloud platform.

Wukong 3.0 is the latest DSL and command line toolkit for rapid big data application development:

  • Updated wukong-hadoop for writing Hadoop Streaming jobs with simple micro-scripts
  • All new wukong-storm for taking your Wukong flows (stitching together data sources, “processors,” and data destinations) and deploying them as Storm topologies
  • All new wukong-deploy for quickly generating Deploy Packs for encapsulating your application logic that can be tested locally, then be deployed to your Infochimps Cloud solution

The Infochimps Cloud API has been enhanced for more cross-platform functionality:

  • Unified monitoring metrics are available for understanding what is happening within the platform
  • It’s even simpler to store configuration values and settings, which can be utilized by any of your applications across the various Infochimps cloud services

To learn more about the Infochimps Cloud and the latest enhancements, request a demo today.