June 28, 2012
SAN FRANCISCO, June 28 — Puppet Labs, the leading provider of IT automation software for system administrators, announced today that its flagship commercial product, Puppet Enterprise, is fully integrated with Google Compute Engine. Puppet Enterprise customers can freely and immediately download the Google Compute Engine module from Puppet Forge. Using Puppet Enterprise, system administrators can rapidly deploy and scale Google Compute Engine cloud applications in response to the quickly changing needs of the business at a fraction of the cost of on-premise solutions.
Puppet Enterprise's unique approach to IT automation uses a declarative, model-based technology, which enables system administrators to define reusable configurations of services and applications. Puppet Enterprise then automatically creates and enforces these definitions across any deployment environment, from on-premise to the cloud, and across any operating system, from Windows to Unix to Linux. By automating the management of their infrastructure with Puppet Enterprise, a typical IT organization will see a 10x boost in productivity, a 75% reduction in applications' time-to-production, and a significant reduction in service outages.
"Google Compute Engine is an exciting new Infrastructure-as-a-Service cloud offering for system administrators," said Luke Kanies, founder and CEO of Puppet Labs. "To help us provide powerful new solutions to make our customers more successful, we've extended Puppet Enterprise to enable Google Compute Engine customers to take full advantage of the agility and efficiency benefits of cloud computing."
Google Compute Engine provides a reliable, open, cost-effective compute infrastructure that enables any developer or business to run large scale computing workloads on the same infrastructure that runs Google search, Gmail, and ads. Google's world class data centers and infrastructure technology provide unparalleled performance and value, and its architecture is optimized for predictability, scalability, security, and flexibility.
"To help customers get the most out of our cloud platform products," explains Eric Morse, Head of Sales and Business Development, for Google's cloud platform, "we work closely with technology companies that provide powerful complementary solutions integrated with our platform."
Google Compute Engine partners include technology firms, such as software vendors, platform companies, and management and tools vendors, and early collaboration with services firms, such as systems integrators, developers, and IT consultants. These partners offer complementary services, solutions, and technologies that have been integrated to provide customers with powerful new solutions using Google Compute Engine.
About Puppet Labs
Puppet Labs, Inc. (www.puppetlabs.com) was founded in 2005 and shipped the first release of the open source Puppet Project later the same year. Puppet's popularity has since grown to where it now is responsible for managing millions of nodes across thousands of companies and organizations, both on-premise and in the cloud, including Zynga, Citrix, Shopzilla, Match.com, Oracle/Sun, to name a few. In 2011, Puppet Labs shipped its first commercial software product, Puppet Enterprise. Now numbering seventy employees and based in Portland, Oregon, Puppet Labs is backed by investors Kleiner Perkins Caufield & Byers, Google Ventures, VMware, Cisco, True Ventures, Radar Partners, and Emerson Street Partners.
Source: Puppet Labs, Inc.
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 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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.