As many as 85% of alarms in data centers are false alarms,
leading to alarm fatigue and eventual alarm desensitization. This means that operators ignore true alarms, resulting in catastrophic consequences.
AdeptDC's ML-enabled anomaly detection tool weeds out false alarms, triages true alarms, and alerts human operators only when it actually matters.
Most of data center operations management focuses on monitoring the health of data center equipment with
fragmented silo solutions which are difficult to maintain
and scale. AdeptDC provides a single pane of glass that can onboard most of the common
data center hardware and orchestration systems, monitor their health in real-time
at component-level granularity, and inform operators of actionable metrics.
Data center operations management requires fast incident resolution. These state-of-the-art solutions are
purpose-built by different manufacturers and yet are inadequate
for resolving interrelated system-level issues. AdeptDC offers a ML-enabled solution with which a data center operations team
can perform comprehensive forecasting, clustering, and root cause analysis.
While downtimes and application degradations are fatal, preventive maintenance is prohibitively expensive.
AdeptDC helps data centers to identify the optimal middle ground with its predictive maintenance
When data center operations teams increase equipment count without identifying optimal cooling set points,
they often introduce reliability concerns. Determining those optimal set points, however, is extremely
difficult in a dynamic data center.
AdeptDC's ML solution helps data centers dynamically identify
the coveted optimal cooling set points so that data centers can maximize their performance
at minimum possible TCO.
Data center operations activities are becoming increasingly complex, versatile, and interrelated.
AdeptDC's data-driven inference engine helps data center operations teams make informed decisions requiring
insight from complex datasets.