July 23, 2012
Introduces Attunity CloudBeam, a SaaS platform, to overcome the data transfer bottleneck in moving data to, from, and across cloud data centers
BURLINGTON, Mass., July 23 — Attunity Ltd., a leading provider of information availability software solutions, announced today that it has become an Amazon Web Services (AWS) partner and introduced Attunity CloudBeam, a software as a service (SaaS) platform designed to deliver high performance solutions for moving Big Data in, out and across AWS cloud data centers quickly and easily. The Attunity service, currently available for testing with AWS customers, is built to support business-critical initiatives, including disaster recovery and Big Data analytics.
Companies worldwide are adopting the cloud to store their data for business applications and to leverage predictive analytics to gain a competitive edge. However, many companies experience a bottleneck that impacts the quick and efficient transfer of data between the data center and the cloud or between cloud environments. This bottleneck prevents enterprises from moving large quantities of data fast enough to meet the needs of their business and capitalizing on the business value of cloud computing. Attunity's new SaaS solution, Attunity CloudBeam, is designed to address this critical and growing market need with an elastic, high-performance, simple-to-use platform that empowers enterprises to transfer Big Data to, from, and between cloud environments in an efficient and timely manner.
"I am excited to announce that Attunity is now a partner of the leading cloud provider, Amazon Web Services," declared Shimon Alon, Chairman and CEO at Attunity. "Attunity is well positioned to deliver a truly elastic, high-performance, and easy to use SaaS platform, Attunity CloudBeam, that meets the data transfer needs of Amazon Web Services and its customers. I am happy to report that Attunity CloudBeam is a direct result of our strategic acquisition of RepliWeb last year – allowing Attunity to increase its ability to penetrate both the Big Data and cloud markets."
Attunity (OTC BB: ATTUD) is a leading provider of information availability software solutions that enable access, sharing and distribution of data across heterogeneous enterprise platforms, organizations, and the cloud. Our software solutions include data replication, change data capture (CDC), data connectivity, enterprise file replication (EFR) and managed-file-transfer (MFT). Using Attunity's software solutions, our customers enjoy significant business benefits by enabling real-time access and availability of data and files where and when needed, across the maze of heterogeneous systems making up today's IT environment.
Attunity has supplied innovative software solutions to its enterprise-class customers for nearly 20 years and has successful deployments at thousands of organizations worldwide. Attunity provides software directly and indirectly through a number of partners such as Microsoft, Oracle, IBM and HP. Headquartered in Boston, Attunity serves its customers via offices in North America, Europe, and Asia Pacific and through a network of local partners. For more information, visit http://www.attunity.com or our In Tune blog and join our community on Twitter, Facebook, LinkedIn and YouTube.
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.