If you have a license that includes the machine learning features, you can create anomaly detection jobs and manage jobs and datafeeds from the Job Management pane:

You can use the Settings pane to create and edit and the filters that are used in custom rules:

The Anomaly Explorer and Single Metric Viewer display the results of your anomaly detection jobs. For example:

You can optionally add annotations by drag-selecting a period of time in the Single Metric Viewer and adding a description. For example, you can add an explanation for anomalies in that time period or provide notes about what is occurring in your operational environment at that time:

In some circumstances, annotations are also added automatically. For example, if the anomaly detection job detects that there is missing data, it annotates the affected time period. For more information, see . The Job Management pane shows the full list of annotations for each job.

The Kibana machine learning features use pop-ups. You must configure your web browser so that it does not block pop-up windows or create an exception for your Kibana URL.

For more information about the anomaly detection feature, see Machine learning in the Elastic Stack and .