August 10, 2011
PALO ALTO, CA., August 10 -- Apica, a leading load testing and performance-monitoring provider for cloud and mobile applications, today announced its highly effective cloud application testing and monitoring technologies will be available to Amazon Web Services (AWS) customers. Apica's inclusion in the AWS Solution Provider Program positions Apica among a select group of vendors delivering solutions and consulting services on the AWS infrastructure platform.
Leading industry research firms predict the global market for cloud computing will grow six-fold in the next 10 years. As more businesses move to cloud computing, it's critical these businesses test their cloud applications prior to deployment to ensure uptime and optimal performance levels. Failure to deliver performance in an application will have a significant impact on the business. Apica solutions test, monitor and optimize cloud applications, and give businesses a true understanding of how their cloud applications perform.
Using Apica's load testing technology, Apica LoadTest, AWS users can reduce the risk of project failure due to capacity and load issues by providing a true understanding of how cloud applications will perform under stressed load conditions. Apica WebPerformance offers a complete website performance testing solution and enables users to monitor response times and stay on top of web performance, 24/7. Together, Apica LoadTest and Apica WebPerformance ensure excellence in the cloud.
Apica is a leading provider of load testing and performance monitoring solutions that test, monitor and optimize cloud and mobile applications. More than 250 customers, including Newsday, PricewaterhouseCoopers, eBay Sweden and Thomas Cook, use Apica for the highest possible performance standards globally and in the cloud. Apica's products are uniquely designed for cloud infrastructure and have performed some of the largest published load tests ever conducted. Apica WebExcellence Suite includes Apica LoadTest, Apica WebPerformance and Apica WebOverload, for testing applications for maximum capacity, real-time performance, improved load times and protection from peak load. Apica was founded in 2005 and is based both in Stockholm, Sweden and Palo Alto, Calif., with offices in the UK. To learn more about Apica, visit http://www.apicasystem.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.