Amazon Managed Service for Prometheus adds anomaly detection

Amazon Managed Service for Prometheus has added a new anomaly detection feature that uses machine learning to analyze time series metrics and identify unexpected changes.

• Uses Random Cut Forest (RCF) unsupervised algorithm for detecting anomalies
• Creates four new time series representing anomalies and confidence values
• Enables dynamic alerting rules in Prometheus Alert manager
• Allows visualization of anomalies in Grafana dashboards
• Available in all AWS regions where Prometheus service is supported

Users can configure anomaly detection through AWS CLI, SDK, or APIs, providing a streamlined approach to identifying unusual metric behaviors with minimal manual intervention.