The anomaly Detection model is a set of settings that allows you to analyze historical data of metric’s values, to build expected trends and find problematic behavior.
To create Anomaly Detection model you need to do the following:
1.Go to the Models tab within the Anomaly Detection module.
2.Press the Create button.
3.Select a tenant you need to work with.
4.Specify instances for a model. Chosen metrics, settings and excluded ranges on next steps will be applied for all of them.
5.Specify metrics for model. You can select a set of metrics allowed for all selected instances.
6.Specify settings for anomaly detection model.
Please note: If you select Backup on alarm checkbox, an auto generated backup of corresponding resource will be created for each alarm.
7.Specify exclude ranges for the anomaly detection model. Specified time ranges won’t be used for building of the expected trends of metric values.
