Overview of Cost Anomaly Detection

What Is Cost Anomaly Detection?

Cost Anomaly Detection uses machine learning to analyze your historical pay-per-use and yearly/monthly expenditures, establish a specific expenditure model for you, and identify root causes for cost surprises based on forecasted amounts. With simple steps, Cost Anomaly Detection helps you quickly take action based on detected cost anomalies to maintain your planned expenditures.

Cost Anomaly Detection helps you identify potential cost anomalies. If you have a budget, you are advised to use budget alerting instead to receive notifications as soon as possible.

Cost Anomaly Detection is a free function. Before using it, you must understand and agree that it uses algorithms to identify potential cost anomalies in the monitoring scope. For details, see Rules for Cost Anomalies.

Cost forecasts are estimates and may not be entirely accurate or stable. As a result, detection may be inaccurate or incomplete, and alert notifications may not always be timely. This function is not accountable for the underlying causes of anomalies or any associated losses.