AWS Cost Anomaly Detection
Automated cost anomaly detection and root cause analysis
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.
Easy as 1-2-3
Simple 3-step setup to evaluate spend anomalies for all AWS services individually, member accounts, cost allocation tags, or cost categories.
Automated root cause analysis
Save time on investigating spend anomalies by receiving automated root cause analysis, pin-pointing potential cost drivers, such as usage type (e.g. data transfer cost), specific AWS service, Region, and Member Account(s).
Reduce surprise bills with alerts
Stay informed of spend anomalies through automated detection alert, via email or SNS topic, at the frequency of your choice (individual alerts, daily summary, or weekly summary).
How it works
It's easy to get started with AWS Cost Anomaly Detection. You will define the spend segments you want to evaluate, e.g. individual AWS services, member account, cost allocation tags, cost categories, and define your alert preferences. Anomaly Detection automatically determines thresholds each day by adjusting for organic growth and seasonal trends (e.g. usage increases from Sunday to Monday, or increased spend at the beginning of the month).
Step 1: Create a monitor
The 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 alerting preference
Once you have created your monitor, you can select 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 monitors and alerting preferences 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
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