The Anomaly Detection app specializes in detecting and alerting anomalies based on multiple anomaly detectors: fixed threshold, auto-adaptive, or seasonal models.
- Static threshold anomaly detection – static threshold represents a hard limit a metric shouldn’t violate.
- Auto-adaptive threshold anomaly detection – represents a dynamic approach where the reference value for detecting anomalies changes over time.
- Seasonal Baseline anomaly detection – represents a dynamic approach where the systems have distinct seasonality patterns.
At the beginning of the observability clinic, I describe these three anomaly detection analyzers and their advantages.
