AWS Cost Anomaly Detection accelerates anomaly identification

AWS Cost Anomaly Detection now features an improved detection algorithm that enables faster identification of unusual spending patterns. The enhanced algorithm analyzes your AWS spend using rolling 24-hour windows, comparing current costs against equivalent time periods from previous days each time AWS receives updated cost and usage data.

The enhanced algorithm addresses two common challenges in cost pattern analysis. First, it removes the delay in anomaly detection caused by comparing incomplete calendar-day costs against historical daily totals. The rolling window always compares full 24-hour periods, enabling faster identification of unusual patterns. Second, it provides more accurate comparisons by evaluating costs against similar times of day, accounting for workloads that have different morning and evening usage patterns. These improvements help reduce false positives while enabling faster, more accurate anomaly detection.

This enhancement to AWS Cost Anomaly Detection is available in all AWS Regions, except the AWS GovCloud (US) Regions and the China Regions. To learn more about this new feature, AWS Cost Anomaly Detection, and how to reduce your risk of spend surprises, visit the AWS Cost Anomaly Detection product page and getting started guide.