Concurrent Thinking has announced an enterprise version of its concurrentCOMMAND Data Center Infrastructure Management (DCIM) appliance which it said provides a resilient solution for monitoring and managing large-scale data centers.
Michael Rudgyard, CTO at Concurrent Thinking said the announcement is a key step towards Concurrent’s goal to provide a scalable DCIM product and that further “significant” and
“incremental” changes will be forthcoming in the next 12 months.
He said 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 optimizing data center power efficiency.
Key architectural enhancements to product software allow a significantly increased number of real time data center metrics to be processed with increased resilience in scale-out environments.
The new version 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.
Concurrent Thinking said the appliances provide the capability to monitor and manage power at the distribution board, Power Distribution Unit and server level (including power capping.)
By collating power measurements with IT equipment utilization, environmental conditions and cooling overheads, Concurrent said its products are able to identify and reduce energy inefficiencies at the building, rack and IT levels.
It 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,” Rudgyard said.
“Furthermore, graphics become significantly more important at scale.”