March 21, 2013
BOSTON, Mass., March 21 — Cloudant, provider of a globally distributed database-as-a-service (DBaaS), today announced the company's service is now available on the Joyent high-performance cloud platform to deliver a finely tuned database technology stack. Joyent designs and drives innovation into its public cloud using unique OS-based virtualization called SmartOS, which is optimized to support high-scalability applications for cloud computing.
Cloudant's move to the Joyent public cloud builds on the company's April 2012 partnership with Joyent, marking the initial availability of Cloudant's NoSQL DBaaS on Joyent. Today, the two companies are also launching a new multi-tenant Cloudant cluster running in the Joyent East Coast data center. Dedicated Cloudant clusters will be available in every Joyent data center later this month.
"Collaborating with Joyent to run Cloudant on Joyent's SmartOS is just another example of how we efficiently improve service," said Alan Hoffman , co-founder and chief product officer at Cloudant. "Making sure operational data scales flawlessly with application code is challenging, which is why when we see technology that helps our customers, we start integrating it. Now, with Joyent, we're able to quickly provision Cloudant accounts across the global network of Joyent data centers."
Cloudant can now take advantage of the dynamic tracing framework and real-time troubleshooting features of DTrace in the Joyent public cloud, which provides deep insight into global system performance and allows both companies to deliver increased application performance to customers.
"We built the Joyent public cloud to power real-time Web, social and mobile applications, so it makes sense to have a DBaaS partner like Cloudant that's geared toward operational application data," said Jason Hoffman , founder and CTO, Joyent. "Giving Cloudant the ability to quickly deploy throughout the global environment of our public cloud service aligns with our focus on scalability and performance. That's what our customers care about most: low cost, real-time systems that are easy to use."
Joyent is the high-performance cloud infrastructure company, offering the only cloud service that's purpose-built to power today's modern applications. Known for instant scalability, cloud uptime and excellent service and support, Joyent provides both large enterprise and small business customers with the most cost-effective public and hybrid cloud solutions available today. Joyent's customers are among today's fastest-growing brands, including Message Bus, ModCloth, TaskRabbit, Voxer and Wanelo.
Cloudant provides the world's first globally distributed database-as-a-service (DBaaS) for loading, storing, analyzing, and distributing operational application data for developers of large and/or fast-growing Web and mobile applications. Cloudant's DBaaS is a managed service that helps developers eliminate the delays, costs, and distractions inherent in working with databases and their administrators, while providing unmatched scalability, availability, and performance. This capability accelerates time-to-market and time-to-innovation because it frees developers from the mechanics of data management so they can focus exclusively on creating great applications. Cloudant is privately held and backed by top-tier investors including Avalon Ventures, In-Q-Tel, Samsung Venture Investment Corporation, and Y Combinator.
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.