Autonomous Application Performance Management
Ensure Business Agility by Mitigating Kubernetes Downtime
due to app degradation
per second of app delay
spent on incidents
Our contextual AI software mitigates cascading failure risks with minimal operational overhead.
Distributed systems like Kubernetes are inherently prone to cascading failures. Our contextual AI software reduces monitoring and troubleshooting overhead for cascading failures. It relieves engineers from health rule maintenance, alarm fatigue, and brute-force debugging. Our AI software uses unsupervised anomaly detection for streaming data, dynamic alarm ranking, and time-series correlation ranking for causality detection.