Amazon Managed Service for Prometheus Adds Anomaly Detection
🔍 Amazon Managed Service for Prometheus now includes anomaly detection using the Random Cut Forest (RCF) algorithm to continuously analyze time series and surface unexpected metric behavior with minimal user intervention. When you create an anomaly detector in an AMP workspace, it generates four derived time series that represent detected anomalies and their confidence values. Those derived series can be used to build dynamic alerting rules in the AMP Alertmanager and visualized alongside input metrics in self‑managed Grafana or Amazon Managed Grafana. The feature is available in all regions where AMP is generally available and is configurable via the AWS CLI, SDKs, or APIs.
