December 07, 2010
AUSTIN, TX., December 7, 2010 -- Zenoss Inc., a leading provider of dynamic service assurance products for public, private and hybrid cloud-based IT infrastructures, today announced that its management offering for the Cisco Unified Computing System (UCS) now supports the latest version of Cisco UCS Manager, Release 1.3.
The Zenoss management solution for Cisco UCS has seen significant momentum with several implementations at enterprises and cloud service providers because it provides unified, real-time visibility into the configuration, health and performance of the entire physical, virtual and cloud stack in an open, cost-effective, and rapidly deployable product. Through direct integration with the Cisco UCS API, Zenoss Enterprise automatically discovers, links and monitors the entire UCS environment, providing real-time performance, availability, and event management, along with configuration and workload dependency tracking, and end-to-end visualization through a multi-tenant, browser-based portal.
In addition to support for Cisco UCS Manager, Release 1.3, this update to the Zenoss Cisco UCS management solution also provides:
Integrated cross-domain monitoring, so Cisco UCS administrators can understand guest operating system performance for each service profile
Performance monitoring of the integrated fabric, with port-level views of traffic, traffic management, and error conditions for both Ethernet and fibre channel protocols on fabric interconnect switches and blade mezzanine cards
Resource monitoring of fabric interconnect controllers, allowing identification of excessive processor and memory use conditions
Improved fault condition notification handling with automatic de-duplication and clear-on-recovery
Improved understanding of power consumption and chassis environmental conditions
Improved management of large and geographically dispersed Cisco UCS installations
"We continue to see significant interest among enterprises and cloud service providers for management support for Cisco UCS in next generation datacenters," said Bill Karpovich, CEO of Zenoss, Inc. "This latest update solidifies the Zenoss solution as the premier offering for the management of next generation cloud infrastructure on Cisco UCS."
About Zenoss Inc.
Zenoss is the leading provider of Dynamic Service Assurance to the next generation datacenter. Zenoss Enterprise is a purpose-built Dynamic Service Assurance product that assures IT service delivery to applications, business services and real-time physical, virtual and cloud-based infrastructures. With a community of over 100,000 users, Zenoss products monitor over one million network and server devices daily and have been used in over 25,000 organizations in 180 countries around the world. Commercial customers include leading companies such as Rackspace, VMware, LinkedIn, Carlson, Motorola and Deutsche Bank. To learn more about Zenoss' award-winning IT operations management software, visit http://www.zenoss.com.
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.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
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.