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Private Cloud Open Reference Architectures: Easily Deploy, Run An Enterprise Private Cloud

Deploying, managing and running a large-scale, enterprise private cloud is not an easy task. One of our goals here at Rackspace is to make it easier for you to deploy and run clouds.

To ease the shift to the cloud, we’ve partnered with leading hardware and software providers to create three new Private Cloud Open Reference Architectures built for enterprise-class, highly-scalable clouds. Those reference architectures are:

  • Mass-compute with external storage - A scalable-compute cloud architecture where data can be stored to external resilient volumes and exported over iSCSI
  • Mass-compute - A scalable-compute cloud architecture for variable workloads where data resides on the compute nodes directly.
  • Distributed Object Storage – An architecture for an object storage cloud to store critical data across multiple zones for resiliency.

The cloud is a paradigm shift that affects IT operations and introduces an entirely new business model; therefore defining Open Reference Architectures is an essential step towards achieving cloud maturity. Through these reference architectures, we want to help you run your own OpenStack clouds as efficiently and effectively as we do, and share our open cloud expertise: at Rackspace we founded OpenStack and we already run the largest open cloud in the world, comprising hundreds of thousands of virtual machines.

Along with launching the new reference architectures, we have developed the Rackspace Private Cloud Certification Toolkit. The tool validates all of the functionality of an OpenStack private cloud so your cloud operations team can be sure that your cloud is operational and that it has all of the necessary components properly installed and configured (for remote private cloud operations, check Rackspace CORE software support). Here is a short video to walk you through how the tool works.

We are also seeing rapid adoption of Rackspace Private Cloud Software and OpenStack across the globe and in companies and organizations of all sizes. Here is one example of how OpenStack and Rackspace Private Cloud Software are shaping the future of computing at universities:

“To further cloud research, The University of Texas at San Antonio established the Open Cloud Research Lab. The lab has more than 1,000 processing cores, hundreds of terabytes of storage, and uses Rackspace Private Cloud Software powered by OpenStack.

The lab will be used to research big data, robotics, computational biology, smart electric power grids, and remote modulation/demodulation of wireless signals. The Open Cloud Research Lab will also host online classes for professors teaching cloud-related courses, and, more generally, it will provide cloud compute resources to all other UT-affiliated research departments.”

- Mo Jamshidi, Lutcher Brown Endowed Chair and Professor, UTSA Department of Electrical and Computer Engineering

So what’s next? Our next move is to certify several Open Compute Project providers, including Quanta, Wiwynn and Delta, for integration into Rackspace Private Cloud. We also plan to add new reference architectures for high availability, security and software defined networking (SDN). The best part is that this is just the beginning.

About the Author

This is a post written and contributed by Paul Rad.

As Vice President of Private Cloud Certification Programs, Paul is responsible for building an enterprise ready computing platform based on Rackspace Private Cloud Software.

Paul started his career as a computer architect by founding Data Processing Corp, overseas before moving to the United States, and later held product and services leadership roles at Data Concepts and Dell Inc. He has numerous published articles on enterprise solutions and holds several U.S. patents in the fields of virtualization, clustering, software engineering and quality assurance.

Paul holds a Master of Computer Architecture from Sharif University and a Master of Computer Science from University of Texas at San Antonio. Paul has been a strong supporter of connecting university and industry in order to build the future workforce. He is a standing committee member of Quantitative Literacy at University of Texas at San Antonio.


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