Amazon Managed Service for Prometheus adds anomaly detection

Amazon Managed Service for Prometheus

Amazon Managed Service for Prometheus now supports anomaly detection, a feature that applies machine-learning algorithms to continuously analyze time series and surfaces anomalies with minimal user intervention. This feature helps isolate and troubleshoot unexpected changes in your metric behavior.

Anomaly detection currently supports Random Cut Forest (RCF), an unsupervised algorithm for detecting anomalous data points within a time series. Once configured, it creates four new time series to represent resulting anomalies and confidence values. You can create dynamic alerting rules in the Amazon Managed Service for Prometheus Alert manager to notify you when anomalies occur, and visualize the resulting time series alongside the input time series in self-managed Grafana or Amazon Managed Grafana dashboards.

What to do

• Configure anomaly detection using the AWS CLI, SDK, or APIs.
• Create dynamic alerting rules in the Alert manager.
• Visualize anomalies in Grafana dashboards.

Source: AWS release notes

If you need further guidance on AWS, our experts are available at AWS@westloop.io. You may also reach us by submitting the Contact Us form.