Zero Touch Observability
AI Assistant for Unsupervised Anomaly Detection and Faster Root Cause Analysis
annual loss in incidents
per second of app delay
spent on firefighting
Why AdeptDC
Modern applications demand a significant operating overhead in health rule configurations for application quality monitoring and health parameter tuning to match dynamic user traffic. AdeptDC’s zero-touch observability platform eliminate the necessity for application health rules. AdeptDC's platform automates unsupervised anomaly detecton in fast-moving metrics and dynamic ddependency ranking across multiple metrics for fast incident response orchestration.
Salient Features
Zero Touch
AdeptDC's online unsupervised algorithm eliminates the necessity of heath rule configuration and tuning to monitor abnormalities in fast-moving metrics. In addition to reducing operting overhead, it also improves the analytics accuracy because it rolls with the fast-moving metrics and auto-detect anomalies and baseline drifts.
Dynamic Dependency Ranking
AdeptDC's dynamic correlation ranking can cluster metrics even when they have different orders of magnitudes, missing data points, and different frequencies. This ranking support alarm triage and root cause analysis.
High Signal to Noise Ratio
AdeptDC's anomaly detecton and baseline drift analytics can precisely handle complex workload types such as periodic workloads of multiple frequencies, bursty workloads, noisy workloads. It can also capture contextual anomaly that often serves as the early warning to an incident.