September 29, 2011
JERSEY CITY, N.J., Sept. 26 -- Datapipe, a leading provider of managed services and infrastructure for IT and cloud computing, announced today the public availability of the industry's first PCI DSS 2.0 Level 1 Service Provider certified cloud computing platform. The offering couples a custom PCI certified cloud infrastructure with a suite of managed security services to enable PCI compliance.
"Security remains a significant roadblock to enterprise adoption of the cloud," said Robb Allen, CEO of Datapipe. "This product is a leap forward in eliminating those fears and enhancing our capabilities as the managed service provider for the enterprise."
Per the recommendation of the Cloud Security Alliance, Datapipe's PCI Certified Cloud is not a "mixed-mode" deployment. Layering enterprise grade managed security services on top of this elite cloud maintains the integrity of the environment and provides a truly unique offering.
"Data classification and trust levels demand varying degrees of security protections," said Joel Friedman, CSO of Datapipe. "Since we wanted to avoid exposing our PCI clients to risks associated with operating in a common cloud infrastructure, we have made our PCI Certified Community Cloud exclusive to our PCI clients."
Datapipe clients have been running on the platform for a significant amount of time. Leading to public availability, Lotaris, a mobile service provider, has been utilizing Datapipe's PCI Certified Cloud to deliver their payment processing technology to millions of devices around the world.
"Our enterprise clients demanded a superior level of security with zero impact to their service experience," said Christophe Lienhard, COO at Lotaris. "It was imperative that we choose an IT partner with extensive expertise in PCI compliance and cloud computing. Datapipe's PCI Certified cloud solution went beyond our expectations and improved service levels for our clients worldwide."
As one of the first PCI Level 1 Certified Service Providers, Datapipe's announcement continues an industry leading track record of innovation surrounding compliance, managed security services and cloud computing. Datapipe recently announced the industry's first Intrusion Detection Service (IDS) deployed on Amazon Web Services in partnership with Alert Logic. Datapipe is a participating organization in the PCI Security Standards Council as well as a member of the Cloud Security Alliance and the Electronic Transactions Association.
Datapipe offers a single provider solution for managing and securing mission-critical IT services, including cloud computing, infrastructure as a service, platform as a service, colocation and data centers. Datapipe delivers those services from the world's most influential technical and financial markets including New York metro, Silicon Valley, London, Hong Kong and Shanghai. For more information about Datapipe visit www.datapipe.com or call (888) 749-5821.
Lotaris has developed and brought to market the most intuitive User experience, together with the most flexible business environment for delivering and managing mobile applications globally. Lotaris Licensed Mobile Environment (Lotaris LME) Platform enables the mobile applications 'ecosystem' of mobile software vendors and software distributors (such as app store operators, mobile operators, mobile device manufacturers) to generate revenue through business models that make sense to their customers anywhere in the world while expanding their customers' mobile experience in a seamless, secure and innovative way.
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.