Our mission is to help data center operations management teams avoid incidents that cause trillions of dollars in annual losses. Our AI software revolutionizes
data center incident management at scale with an end-to-end cross-siloed analytics for comprehensive incident prevention, faster troubleshooting, and superior performance.
While the global data generation rate is growing at an unprecedented rate on the order of a few zettabytes (1021) per year from increasingly low-latency applications, most data center operations managers are struggling to handle this large influx of workload efficiently and prevent expensive application degradation.
Modern applications require data centers that can process versatile data with agility.
This demands coordination across different data center silos.
It is becoming increasingly challenging for data center operators to handle such a high level of complexity.
Data center operations management requires multi-disciplinary expertise including networking, systems administration, site reliability,
electrical engineering, and HVAC.
There is an acutely short supply of qualified candidates to match the accelerating demand for talent.
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.
AdeptDC's AutoML empowers data center operators to reap the
benefits of state-of-the-art advancements in artificial
intelligence without writing any code. Our solution is
imbued with flexibility to meet different operator skill-levels,
reusability to minimize the training time, and extensibility to adapt to changing demand.
AdeptDC's analytics can handle data generated from different operating
layers with different operating characteristics.
It is completely agnostic of vendor, hardware-type, and orchestration software layers.
AdeptDC's solution works right out of the box from day one.
Powered by an efficient ML algorithm that requires minimal training data,
AdeptDC's analytics kicks in almost immediately upon deployment.