Autonomous Scoring
Last updated
Last updated
This is an older version of the document. To view the most recent version of the document, click here.
Autonomous scoring works even if there is no baseline. It can work on a single file, i.e., only on v2 log files. Autonomous scoring works based on the following factors:
Autonomous scoring is ideal for scenarios where you only have the v2 log files but it will also work if you have both v1 and v2 logs.
Hence, Autonomous scoring will also work if no v1 log file is provided.
Score reduction is done only on clusters that are unique to v2 logs.
Clusters belonging to v1 logs are ignored for score reduction.
Score reduction is normalized by the total number of unexpected clusters in v2 and v1v2.
Score Reduction is higher at higher sensitivity levels.
Score Reduction is higher for clusters with higher criticality.
By default, autonomous scoring will give a score of 0 (fail) whenever there is a critical error.
To set the Autonomous Scoring algorithm follow the steps below:
Click System Setup in the navigation menu as shown below:
2. The following screen appears:
3. Add/Edit an application. Click Add Application and Edit Application to know more.
a. After entering the application details you need to add a service.
b. Enter the Service Name in the text box and click Save. Refer to the image below:
4. Next, you get the option to select the type of service you want to add. The options are:
Deployment Verification
Visibility
Release Management
Select Deployment Verification. The following options appear:
Click the + icon to add a log template.
5. The create Template screen appears as shown below:
6. Click Log Tags. Select Autonomous Scoring from the drop-down as shown below:
