EkkoSoft Critical New Auto Cooling Anomalies Detection helps derisk data center air and liquid cooling
– Predictive Maintenance – Identify cooling system anomalies early and prevent costly outages weeks before they occur
– Machine Learning–Based Detection – Automatically detect airflow faults and flow-rate anomalies using advanced machine learning–based cooling analytics.
EkkoSense has launched a unique, vendor-agnostic Auto Cooling Anomalies Detection capability. It reduces the risks associated with today’s data centers by monitoring hybrid air and liquid cooling deployment performance, and features comprehensive and rapid cooling anomaly alerts functionality.
The new Auto Cooling Anomalies capability is part of the company’s award-winning EkkoSoft Critical SaaS data center optimization solution. It supports a full range of air and liquid cooling assets, chilled water supply infrastructure including CDUs and Chillers, as well as hybrid liquid and air cooling deployments within the same room. Key features include advanced cooling anomaly alerts, auto-setpoint detection, and chilled water flow rate anomaly detection.
“Successful liquid cooling deployments are all about understanding potential risks and having the right level of visibility into increasingly complex hybrid installations. And, given that today’s high-density AI infrastructure is far more volatile with thermal conditions changing in real-time, data center teams simply can’t afford to rely on traditional lengthy BMS or EPMS alert mechanisms. If something’s not performing optimally, they need to know now, before it fails,” said Paul Milburn, EkkoSense’s Chief Product Officer.
“That’s where Auto Cooling Anomalies Detection has a key role to play, removing thermal and power risk by providing early warnings of any cooling infrastructure anomalies ahead of possible critical infrastructure failure for an asset that hasn’t yet reached the threshold for generating a BMS alarm or a room temperature alert,” he continued. “This also provides data center operations team members with the ability to triage air and liquid cooling issues and move beyond traditional reactive data center monitoring to a more proactive maintenance approach.”
Operations teams can set up a range of Auto Cooling Anomaly Alerts, highlighting either high, low or both alerts, specific item level alerts, as well as adding Auto Cooling Anomaly Alerts to the thermal alert count on the EkkoSoft Critical estate page. Alerts can be separated for Liquid units and Air units, while total power & cooling loads are also now added to alerting. EkkoSense Critical also now offers integration with Teams via webhooks for alert notifications, as well as JSON webhooks for alert notifications for BMS integration.
Included as part of EkkoSoft Critical 9.4, Auto Cooling Anomalies Detection offers auto-setpoint detection as a default, while manual and actual setpoint points can also be supported – as well as the ability to disable individual units. The latest EkkoSoft Critical release also integrates this improved cooling anomalies configuration within the software’s embedded Cooling Advisor for ongoing optimization recommendations.
About EkkoSoft Critical
EkkoSense’s AI-powered 3D visualization and analytics software, tells you exactly what’s going on across your data center – and what you need to do next to optimize performance. The software is vendor-agnostic, deploys in days, and features an immersive digital twin interface to accelerate time to value. Continuous AI and machine learning analytics delivers power, air and liquid cooling, and capacity planning insights, while automatic anomaly detection and item-based alerting provide early warnings before critical equipment failures occur.
About EkkoSense
EkkoSense is a leader in the provision of advanced sensing technology, SaaS DCIM-class visualisation & monitoring software, and AI-powered analytics solutions for critical facilities such as data centres. The company is committed to eliminating thermal risk and helping organizations to monitor, manage and maximize their data center performance. Follow us on LinkedIn.
Press Contacts: Cheryl Billson, +44 7791 720460, Cheryl.billson@ekkosense.com
