November 15, 2012
SAN FRANCISCO, CA, Nov. 15 – Newvem, a leader in providing cloud analytics for Amazon Web Services (AWS) customers, today announced the general availability of its AWS usage analytics service called Newvem Analytics. The general availability version (GA) is available as both free and premium offerings. Pivoting from cost savings, Newvem Analytics GA is the first business-focused cloud analytics solution that impacts profit with a top-down business approach through the eyes of different organizational roles.
“Newvem Analytics disrupts the belief that cloud usage analytics ends with cost savings. Over the past eight months, we’ve strived to help our users to truly profit from their cloud,” says Zev Laderman, co-founder and CEO of Newvem. “Newvem Analytics’ top-down approach with role-specific views helps users see if their infrastructure is ready to scale to capture more revenue, or if they can reduce infrastructure to increase margins when revenues flatten or shrink. This approach increases shareholder value for any company, as increasing profit directly impacts a company’s price/earnings ratio and enhances its valuation.”
A major capability of Newvem Analytics GA is connecting cloud usage with specific business activities and entities such as business divisions, accounts, and even customers. Newvem now offers better visibility into the relationship between business and cloud infrastructure, helping customers focus on profit.
Another major component is that of addressing specific roles within the business organization, including chief information officers, chief technology officers, IT managers, developers, and operators, thus enabling each role to make better cloud decisions in line with their specific business goals.
Additionally, Newvem’s general availability version offers several powerful role-based views and platforms, including:
“During our beta period, we worked very closely with our broad base of users from different market segments, locations, organization sizes and across multiple roles to identify how Newvem can better help them sync their business performance with their AWS cloud infrastructure,” says Ilan Naslavsky, co-founder and CTO of Newvem. “As a result, Newvem Analytics enables ‘Cycles of Cloud Usage Refinement‘ by visualizing groups of key infrastructure indicators and effectively, analyzing, measuring, and improving cloud usage in line with our users’ business objectives and performance.”
Newvem will continue to offer a free version of Newvem Analytics to help cloud adopters learn how to improve their consumption of cloud infrastructure and help accelerate the knowledge required to become more cloud proficient.
Since its beta release in March 2012, Newvem Analytics has helped thousands of users profit from their cloud through analyzing more than 10 million AWS instances. Newvem currently tracks 1,000 clouds and reveals daily spend efficiencies in excess of $11 million.
Newvem enables CIOs, CTOs, IT managers, Operators, and Developers to profit from the cloud by syncing cloud deployment with business performance. Helping AWS users ensure that their cloud grows with revenues and shrinks with decreasing demand, “Newvem Analytics” analyzes AWS cloud behavior, reveals insights related to costs, assets and risks, and recommends solutions to manage their cloud more efficiently and effectively. The service is available as a web and native iOS app.
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.