January 23, 2013
RALEIGH, N.C., Jan. 23 – Red Hat, Inc., the world’s leading provider of open source solutions, today announced updates to its open hybrid cloud solutions portfolio and strategy following the closing of its acquisition of ManageIQ, a leading provider of enterprise cloud management and automation solutions that enable organizations to easily deploy, manage and optimize across private clouds, public clouds and virtualized infrastructures. Red Hat both announced that it had signed a definitive agreement to acquire ManageIQ and completed the acquisition in late Dec. 2012.
“We’ve worked with ManageIQ as a partner to our Red Hat Enterprise Virtualization platform with successful joint customers and saw an opportunity to expand our hybrid cloud management capabilities with an even closer relationship with ManageIQ’s compelling portfolio,” said Bryan Che, general manager, Cloud Business Unit at Red Hat. “With the closing of the acquisition, we now begin work to integrate ManageIQ’s enterprise cloud management and automation technologies with our complementary Red Hat CloudForms hybrid Infrastructure-as-a-Service (IaaS) solution and our open Red Hat Enterprise Virtualization management solution. With this combination, we can offer our customers an unparalleled open hybrid cloud management portfolio.”
“As more and more production workloads are deployed across heterogeneous virtual, private cloud and public cloud datacenters, IT buyers are prioritizing investments in management solutions that can automate and optimize end-to-end performance and capacity utilization across these complex environments,” said Mary Johnston Turner, research vice president, Enterprise Systems Management at IDC. “IDC expects spending on cloud systems management software to exceed $3.6 billion by 2016 thanks to demand for these types of sophisticated tools.”
In addition to their technology and solutions portfolios being complementary, Red Hat and ManageIQ also share many joint customers – the majority of ManageIQ’s customers are also Red Hat customers.
According to Chris Russell, IT architect consultant for a leading global provider of banking and payments technologies to thousands of financial institutions that runs a multi-tenant virtual IT infrastructure in three datacenters using ManageIQ technologies, “With ManageIQ EVM, we sought to provide our account teams and their respective customers with granular visibility into the fee-based virtual infrastructure services being consumed by its customers, and also needed operational tools capable of providing insight into resource utilization, trends and available capacity across our multiple datacenters. Even before Red Hat acquired ManageIQ, we were already starting to look closely at the cost benefits of leveraging our Red Hat Enterprise Linux environment with Red Hat Enterprise Virtualization, as well as considering OpenStack options for open cloud implementations. Now with Red Hat and ManageIQ together, we can continue to manage our current virtual estate while looking forward to a compelling open hybrid cloud management portfolio that will result from the combination of these powerful technologies.”
To learn more about Red Hat’s strategy around the acquisition of ManageIQ and about Red Hat’s open hybrid cloud management solutions, join Red Hat executives for a webcast press conference beginning at 11:00 a.m. ET on Jan. 22, 2013. The webcast will also be available for replay. Register to join: https://vts.inxpo.com/Launch/QReg.htm?ShowKey=12479.
About Red Hat, Inc.
Red Hat is the world's leading provider of open source software solutions, using a community-powered approach to reliable and high-performing cloud, Linux, middleware, storage and virtualization technologies. Red Hat also offers award-winning support, training, and consulting services. As the connective hub in a global network of enterprises, partners, and open source communities, Red Hat helps create relevant, innovative technologies that liberate resources for growth and prepare customers for the future of IT.
Source: Red Hat
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 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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.