AWS How Cost Anomaly Detection works

Reduce cost surprises and enhance control without slowing innovation with AWS Cost Anomaly Detection. AWS Cost Anomaly Detection leverages advanced Machine Learning technologies to identify anomalous spend and root causes, so you can quickly take action. With three simple steps, you can create your own contexualized monitor and receive alerts when any anomalous spend is detected. Let builders build and let AWS Cost Anomaly Detection monitor your spend and reduce the risk of billing surprises.

Get started by creating AWS Cost Anomaly Detection via AWS Cost Explorer API, or directly in the Cost Management Console. Once you set up your monitor and alert preference, AWS will notify you with individual alerts or daily or weekly summary via SNS or emails. You can also monitor and do your own anomaly analysis in AWS Cost Explorer.

Step 1: Create a cost monitor

The cost monitor creation process allows you to create spend segments and evaluate spend anomalies in a preferred granular level. For example: an individual Linked Account, an individual Cost Category value, or an individual Cost Allocation tag.

Step 2: Set alert subscription

Once you have created your cost monitor, you can choose your alerting preference by setting up a dollar threshold (e.g. only alert on anomalies with impact greater than $1,000) . You don’t need to define an anomaly (e.g. percent or dollar increase) as Anomaly Detection does this automatically for you and adjusts over time. ).

Step 3: Done

Once cost monitors and alert subscriptions are created, you’re all set! Anomaly Detection will begin to work within 24 hours and you will be notified if any anomaly meets your alert threshold. You can visit your Anomaly Detection dashboard to monitor the activities, including anomalies detected that are below your alert threshold

references:

https://console.aws.amazon.com/cost-management/home?#/anomaly-detection/overview?activeTab=history