October 02, 2012
LONDON & MOUNTAIN VIEW, Calif., Oct. 2 — SOASTA, the leader in cloud and mobile testing, today announced the acquisition of LogNormal, the leading performance measurement company delivering real user measurement and monitoring for mobile and web applications. The acquisition extends SOASTA’s platform to deliver actionable intelligence for both marketing and operations executives on real user behavior.
“SOASTA is focused on constantly improving the user experience on mobile applications,” said Tom Lounibos, SOASTA’s CEO. “SOASTA has been delivering a fast, affordable and scalable performance solution for enterprise customer for years. The acquisition of LogNormal extends our vision of delivering the full life cycle of development, testing and measurement solutions to ensure the optimal user experience for our customers. We are excited to have LogNormal as part of SOASTA, especially Buddy and Philip with their dedication and experience in performance management.”
“SOASTA is the leader in mobile and web performance testing and we are excited to combine our expertise to deliver performance testing, monitoring and measurement in a single platform,” said Buddy Brewer, LogNormal’s CEO. “The combination of LogNormal’s expertise and SOASTA's real-time analytics engine will provide unprecedented insight into mobile behavior.”
LogNormal is the leading Real User Measurement (RUM) company co-founded by industry veterans Buddy Brewer and Philip Tellis. Tellis and Brewer are best known in the performance industry for their creation and contributions to Boomerang, the leading open source RUM solution on the market today. The team has over 20 years experience in performance measurement helping the world’s largest web sites deliver high performance web and mobile applications.
"Buddy and Philip spoke at Velocity in 2012 in Santa Clara and will be speaking again this week in London,” said Steve Souders, Head Performance Engineer at Google. “I’m proud that Velocity gives young innovative companies like LogNormal the exposure needed to succeed. LogNormal and SOASTA's combined expertise in real user measurement and cloud testing is a great match."
“We’ve seen that when organizations take advantage of technologies that provide real-time performance information, they are able to gain a significant benefit in terms of their overall application performance and reliability,” said Jim Rapoza, Senior Research Analyst at the Aberdeen Group. “As the requirements for application performance become more immediate and critical, organizations are finding that they need to focus on real-time monitoring and analytical capabilities that can show how real-users are experiencing applications and make it possible to respond to performance issues as quickly as possible.”
The acquisition was completed in September of 2012, and the LogNormal employees have joined SOASTA effective immediately. The team brings deep technical knowledge and market expertise in mobile and web performance.
This news comes as SOASTA announces their new solution, mPulse the first and only RUM data analysis solution to deliver real-time information based on actual mobile user behavior. For further information you can read the press release here.
SOASTA is the leader in cloud testing. The company’s CloudTest products and services leverage the power of cloud computing to quickly and affordably test consumer-facing web and mobile apps at scale, providing customers with the confidence that their business-critical web apps will be reliable and scalable, even under extreme loads. SOASTA’s customers include many of today’s most successful brands including American Girl, Chegg, Gilt Groupe, Hallmark, Intuit, Microsoft and Netflix. SOASTA is privately held and headquartered in Mountain View, Calif. For more information about SOASTA, please visit www.soasta.com.
SOASTA is a registered trademark of SOASTA, Inc. All other trademarks are property of their respective owners. Other product or company names mentioned may be trademarks or trade names of their respective companies.
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.