EkkoSense has launched a novel, vendor-agnostic Auto Cooling Anomalies Detection functionality. It reduces the dangers related to immediately’s information centres by monitoring hybrid air and liquid cooling deployment efficiency, and options complete and fast cooling anomaly alerts performance.
The brand new Auto Cooling Anomalies functionality is a part of the corporate’s award-winning EkkoSoft Essential SaaS information centre optimisation answer. It helps a full vary of air and liquid cooling property, chilled water provide infrastructure together with CDUs and Chillers, in addition to hybrid liquid and air cooling deployments throughout the identical room. Key options embrace superior cooling anomaly alerts, auto-setpoint detection, and chilled water move price anomaly detection.
“Profitable liquid cooling deployments are all about understanding potential dangers and having the correct stage of visibility into more and more advanced hybrid installations. And, on condition that immediately’s high-density AI infrastructure is way extra unstable with thermal situations altering in real-time, information centre groups merely can’t afford to depend on conventional prolonged BMS or EPMS alert mechanisms. If one thing’s not performing optimally, they should know now, earlier than it fails,” stated Paul Milburn, EkkoSense’s Chief Product Officer.
“That’s the place Auto Cooling Anomalies Detection has a key position to play, eradicating thermal and energy danger by offering early warnings of any cooling infrastructure anomalies forward of potential essential infrastructure failure for an asset that hasn’t but reached the brink for producing a BMS alarm or a room temperature alert,” he continued. “This additionally offers information centre operations crew members with the flexibility to triage air and liquid cooling points and transfer past conventional reactive information centre monitoring to a extra proactive upkeep strategy.”
Operations groups can arrange a spread of Auto Cooling Anomaly Alerts, highlighting both excessive, low or each alerts, particular merchandise stage alerts, in addition to including Auto Cooling Anomaly Alerts to the thermal alert rely on the EkkoSoft Essential property web page. Alerts might be separated for Liquid models and Air models, whereas complete energy & cooling hundreds are additionally now added to alerting. EkkoSense Essential additionally now presents integration with Groups through webhooks for alert notifications, in addition to JSON webhooks for alert notifications for BMS integration.
Included as a part of EkkoSoft Essential 9.4, Auto Cooling Anomalies Detection presents auto-setpoint detection as a default, whereas guide and precise setpoint factors can be supported – in addition to the flexibility to disable particular person models. The most recent EkkoSoft Essential launch additionally integrates this improved cooling anomalies configuration throughout the software program’s embedded Cooling Advisor for ongoing optimisation suggestions.
