August 15, 2012
Integration of Opscode Chef with Rackspace Private Cloud software enables businesses of all sizes to automate deployment, testing and management of private clouds
SEATTLE, Aug. 15 — Opscode, the leader in cloud infrastructure automation, today announced that Rackspace is delivering Opscode Chef with its new Rackspace Private Cloud Software. By combining Chef with Rackspace's new software, businesses of all sizes can install, test and run OpenStack-based private clouds in minutes.
Rackspace Private Cloud combines the capabilities of public cloud with the customization, reliability and control advantages of a dedicated environment. Leveraging Rackspace's experience in deploying and operating Openstack-based private clouds in a variety of environments, Rackspace Private Cloud delivers a simple solution for installing OpenStack private clouds in the datacenter, with Rackspace, or in a colocation facility.
"As enterprises deploy private and hybrid clouds to achieve scalable, dynamic infrastructure, OpenStack is emerging as the primary open source platform for building and running these powerful compute environments," said Jesse Robbins, chief community officer, Opscode. "With Rackspace Private Cloud and Chef, businesses now have a simple & scalable way to automate OpenStack clouds and maximize the advantages of cloud infrastructure."
"The key to getting the most from an OpenStack cloud deployment is the time it takes to achieve productive use," Jim Curry, general manager of Private Cloud business at Rackspace. "Rackspace Private Cloud makes it easy to get an open private cloud running effectively, while Opscode Chef further accelerates the process by automating OpenStack components to ensure users get the most from their open cloud in the least amount of time."
Combining Rackspace Private Cloud and Chef provides users with a single, integrated software solution for installing, testing and running OpenStack-based clouds in minutes, no matter the environment. Available as a free download, Rackspace Private Cloud software is backed by an optional support offering and provides an easy-to-follow process for bringing open cloud infrastructure to full operation with minimal management. Using Opscode Open Source Chef, Hosted Chef or Private Chef, OpenStack users can quickly and consistently deploy every OpenStack component, delivering full stack automation for OpenStack-based public and private clouds.
To learn more about Rackspace Private Cloud, or to download the software for free, visit www.rackspace.com/cloud/private.
About Opscode Chef
Opscode's pioneering software, Chef, is an open-source systems integration framework built specifically for automating the cloud. No matter how complex the realities of business, Chef makes it easy to deploy servers and scale applications throughout an entire infrastructure. Through a combination of configuration management and service-oriented architectures, Chef, Hosted Chef and Private Chef make it easy to create an elegant, fully automated infrastructure while simplifying systems management. The Chef community features 16,000 registered users, 750 individual contributors, 135 corporate contributors and 500 cookbooks, providing a rich ecosystem of support for customers looking to make the most of their investment in the cloud.
Opscode is the leader in cloud infrastructure automation. Opscode helps companies of all sizes develop fully automated server infrastructures that scale easily and predictably; can be quickly rebuilt in any environment; and save developers and systems engineers time and money. Opscode's team is comprised of web infrastructure experts responsible for building and operating some of the world's largest websites and cloud computing platforms. More information can be found at www.opscode.com.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.