Anomaly Detection
Cloud Insights performs near real-time anomaly detection with 99% accuracy. By utilizing unsupervised deep learning and behavioral modeling, the system identifies deviations without requiring manual rules or pre-defined labels.
It prioritizes telemetric metrics over logs, allowing for faster and more efficient identification of issues as they occur.
Root Cause Analysis
The platform automatically provides RCA at the exact time an anomaly is detected. By moving beyond simple correlation to state-of-the-art causal inference, Cloud Insights identifies the precise causal factors leading to a specific behavior.
This technology reduces the time required to identify a root cause from hours to under 2 minutes.
Mitigation
Once a root cause is identified, Cloud Insights provides automated mitigation suggestions and activation. The system features a closed-loop automation process where it continuously learns and improves causality weights to validate and prioritize the most effective mitigation actions.
This capability drives the data center toward a self-healing state.
Prediction
Cloud Insights enables proactive monitoring by allowing for the prediction of anomalies before they impact the system. This self-learned prediction is based on recognizing specific trigger sequences of events.
Predictive intelligence enables timely maintenance and significantly improves system uptime.
Want to see how this works in real incidents?
Explore real-world anomaly resolution scenarios and causal flows.