February 27, 2013
LONDON, Feb. 27 — Concurrent Thinking has announced an enterprise version of its concurrentCOMMAND DCIM appliance to provide a resilient solution for monitoring and managing large-scale data centres. Michael Rudgyard, CTO at Concurrent Thinking, said, "This new announcement is a key step towards our goal to provide the most scalable data centre infrastructure management product on the market; further significant and incremental changes will be forthcoming in the next 12 months."
Unlike software-only DCIM offerings, concurrentCOMMAND is delivered as a hardened, single-U server which works in conjunction with multiple concurrentCONTROL devices to supply a complete solution for optimising data centre power efficiency. Key architectural enhancements to product software allow a significantly increased number of real time data centre metrics to be processed with increased resilience in scale-out environments.
The enhanced leverages Concurrent Thinking's existing concurrentCOMMAND and concurrentCONTROL appliance framework, as well as the use of high-performance round-robin databases for storing very large amounts of historical data in a fixed storage space. The appliances provide the capability to monitor and manage power at the distribution board, PDU and server level (including power capping). By collating power measurements with IT equipment utilisation, environmental conditions and cooling overheads, Concurrent's products are able to identify and reduce energy inefficiencies at the building, rack and IT levels.
Concurrent Thinking has also announced a new version of its entry level concurrentCOMMAND appliance, a new concurrentCONTROL appliance with multiple RS232 and RS485 interfaces, and the adoption of 1-wire technology that allows up to 40 temperature, pressure or humidity sensors to be daisy-chained up to 50 metres apart.
The new product release also debuts significant changes to the powerful and intuitive web GUI. These are aimed at improving the user's experience across all Internet connected devices. Key improvements include the adoption of modern HTML5 technologies for faster and more robust viewing, and for rendering graphical information more efficiently in its Data Centre Plan View and Data Centre Rack View, using internet-connected devices. "We believe that highly graphical representations of data not only improves the user experience, but provides powerful ways for identifying high level cost-saving measures ‘at a glance' while being able to drill down rapidly to understand specific problems relating to individual IT devices. Furthermore, graphics become significantly more important at scale," said Michael Rudgyard.
About Concurrent Thinking
Concurrent Thinking is a leading provider of DCIM solutions. Uniquely, the company has applied experience gained through its heritage in High Performance (HPC) and super-computing environments to the datacentre sector. This has resulted in a holistic and vendor neutral solution set with a rapid ROI, that delivers tangible benefits to multiple constituencies within any business that depends upon reliable and efficient datacentre operations.
Source: Concurrent Thinking
10/30/2013 | Cray, DDN, Mellanox, NetApp, ScaleMP, Supermicro, Xyratex | Creating data is easy… the challenge is getting it to the right place to make use of it. This paper discusses fresh solutions that can directly increase I/O efficiency, and the applications of these solutions to current, and new technology infrastructures.
10/01/2013 | IBM | A new trend is developing in the HPC space that is also affecting enterprise computing productivity with the arrival of “ultra-dense” hyper-scale servers.
Ken Claffey, SVP and General Manager at Xyratex, presents ClusterStor at the Vendor Showdown at ISC13 in Leipzig, Germany.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?