Latest Dynatrace
Davis Anomaly Detection allows you to create anomaly detectors, set up customized alerts, and transform metric events configuration. You can also save time and create an anomaly detector in
Notebooks while using the app.
To use the latest version of Davis Anomaly Detection, you need to have appropriate permissions. For more information, see Davis Anomaly Detection app overview.
To manually create an advanced Anomaly Detection configuration
Go to Davis Anomaly Detection.
Select Anomaly Detector > Create your own Anomaly Detector to create a new anomaly detector. To edit an existing anomaly detector, select any anomaly detector from the list.
Go to the Advanced tab and expand Set scope.
In Query, provide the DQL query to fetch your data.
We recommend that you use the interval: 1m
parameter to ensure proper data resolution for the analysis.
Set Actor to a service user or regular user.
By default, after editing the anomaly detector's configuration, the actor changes to the user who updated it. You will get a warning message confirming whether you want to overwrite the existing configuration or make a copy of the anomaly detector with your changes.
If the anomaly detector was created with a service user and you have permission to use the service user, you can update the configuration without overwriting the service user actor; otherwise, you'll get a warning about restricted service user access.
Expand Define alert condition.
Define the analyzer in Select use case set its parameters in Set a condition. For details, see Analyzer type and parameters.
optional Select Preview to see a demonstration of your alert condition.
Expand Add details.
In General information, set a Title and Description for your anomaly detector.
In Create event template, configure the event triggered by the configuration. For details, see Event template.
Select Create to create a simple anomaly detector or select Save to update your configuration.
Whenever you Create or Save your anomaly detector, its configuration gets automatically validated. If the there's no errors present in your configuration, you'll be able to save or update your configuration. If there are any errors, the section will be highlighted with red and marked with Error
message under the section title.
Check the Status of the new configuration shortly after creation to ensure there are no errors in the execution.
With Davis for Notebooks, you can preview your Anomaly Detection configuration and evaluate its effectiveness. This option takes you to Notebooks, where you configure the query and monitoring strategy, and then back to
Davis Anomaly Detection to create an event template.
For a DQL query, we recommend that you use the interval: 1m
parameter to ensure proper data resolution for the analysis.
Check the Status of the new configuration shortly after creation to ensure there are no errors in the execution.