Detect Anomalies for AIOps

See Extended Examples for complete configuration files and templates.

Apply machine learning to detect anomalies in operational metrics, correlate alerts, and reduce false positives.

When to Use

• Operations team overwhelmed by alert volume (>100 alerts/day)
• Need to detect complex multi-metric anomalies (not just threshold breaches)
• Seasonal patterns make static thresholds ineffective
• Want to predict issues before they impact users (proactive detection)
• Need to correlate related alerts to identify root cause
• Monitoring system generates too many false positives
• Want to detect subtle performance degradation trends

Inputs