February 27, 2013
SANTA BARBARA, Calif., Feb. 27 — As enterprise cloud adoption grows, companies are increasingly using the cloud for revenue-producing applications. Keeping applications running during cloud outages becomes critical, and companies are leveraging cloud management to ensure their business-critical applications stay up and running, whether in public, private, or hybrid clouds. RightScale Inc., the leader in cloud management, has created a new infographic that shows the significant impact of data center or cloud outages, showing 7.5 hours of average downtime per outage across clouds, private data centers and traditional hosting providers.
RightScale analyzed 27 publicly reported outages that occurred in 2012 and determined the length of outage, customers affected and the causes, which included power loss, natural disasters and human error, among others. Despite frequent press coverage of public cloud outages, they represented 26% of the 2012 outages analyzed, with the remaining coming from private data centers, SaaS solutions and traditional hosting providers.
"Whether you are running your application in the cloud or not, our data shows that there are bound to be bumps in the road. If you're not thinking about tweaking your cloud strategy to stay in front of outages or other hiccups, you're placing vital company applications at risk," said Michael Crandell, CEO of RightScale. "RightScale helps companies automate deployment and management of their cloud applications, develop outage-proofing strategies that best fit their specific business needs and ensure that they're up and running — even when their cloud provider isn't."
With multiple factors contributing to outages across platforms, cloud management solutions are critical for companies to prepare their applications with disaster recovery and outage-proofing strategies. RightScale helps companies implement proven approaches to surviving cloud outages, including multi-region and multi-cloud architectures. Companies also leverage RightScale for automation and standardized deployment templates that streamline failover processes and reduce time to recovery.
"As we get real about cloud, we will institute some substantial changes in our cultures and approaches to cloud investments," said James Staten, Vice President and Principal Analyst at Forrester. "Apps have to protect themselves. The best practice for cloud application design and configuration is to build resiliency into the application rather than expect it from the cloud platform."
RightScale Inc. cloud management enables organizations to easily deploy and manage business-critical applications across public, private, and hybrid clouds. RightScale provides efficient configuration, monitoring, automation, and governance of cloud computing infrastructure and applications. RightScale supports 15 public and private clouds, which include AWS, Rackspace Open Cloud, Windows Azure, Google Compute Engine, HP, SoftLayer, Logicworks, IDCF and Datapipe as well as private clouds based on OpenStack and CloudStack. Since 2006, millions of servers have been launched with the RightScale solution by leading enterprises including the Associated Press, CBS Interactive, Intercontinental Hotels Group, PBS, and Zynga.
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.