AWS now provides AI-powered cost investigations for cost anomalies

AWS Cost Anomaly Detection now includes AI-powered cost investigation, which uses Amazon Q to analyze the root cause of detected cost anomalies. Investigating a cost change typically requires correlating cost data with AWS CloudTrail events and resource activity, which can take hours. Cost investigation delivers a plain-language explanation in minutes, helping FinOps practitioners and engineering teams move from alert to action faster.

When you investigate an anomaly, Amazon Q determines whether the cost change is usage-driven or rate-driven, identifies the contributing services, accounts, and regions, and for usage-driven changes, correlates with AWS CloudTrail to attribute the change to specific API calls and IAM principals. For organizations with a CloudTrail organization trail, the investigation works across all member accounts automatically. You can continue the conversation with follow-up questions to explore patterns or drill into specific resources. 

AI-powered cost investigation is available today in all commercial AWS Regions at no additional charge. Cross-account investigations that use an organization-wide CloudTrail trail delivered to Amazon CloudWatch Logs might incur standard CloudWatch Logs Insights charges based on data scanned.

To get started, navigate to AWS Cost Anomaly Detection in the AWS Billing and Cost Management console and choose Investigate with Amazon Q on any detected anomaly. To learn more, see Investigating anomaly root causes with Amazon Q in the AWS Billing and Cost Management User Guide. 

Categories: general:products/aws-cost-explorer,marketing:marchitecture/cost-management

Source: Amazon Web Services

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