Issue with Scheduled Job Data Populating in Insights

Hitesh_Mourya
Tera Guru

Hello Everyone,
I have a scheduled job named "[DevOps] Daily Data Collection" that gathers data from multiple DevOps-related indicators. The domain for both the schedule job and indicators is global, and the "run as" is a user with active permissions having domain TOPXYZ. However, there seems to be a problem with populating the values in insights, Although I checked job log it's inserts data and delete data at same times both the no. are same. Could anyone shed some light on why this might be happening? Has anyone faced a similar issue or can identify where the mistake might be occurring? Any help or insights would be greatly appreciated. Thank you!

 

 

 

1 ACCEPTED SOLUTION

Hitesh_Mourya
Tera Guru

Hi All, The issue I was facing because of the grouping of DevOps application into products has not been configured, as a result one of the tables (sn_devops_insights_application_product_detail) which is part of most views in the Change Acceleration tab is empty. Now I have associated the Application with Product and successfully getting all Insights info, Thanks all for the support

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It sounds like the issue might be related to how the scheduled job is configured or how data is being synced to Insights. Here are a few things you can check:

Job Configuration:
Ensure the scheduled job is properly configured with the correct data sources and filters. Sometimes incorrect filters or date ranges can prevent data from populating.

Execution Logs:
Check the execution logs of the scheduled job to see if it’s running successfully. Look for any errors or warnings that indicate why data isn't syncing.

Data Refresh Timing:
Some Insights dashboards update at specific intervals. Verify if there’s a delay between job execution and data visibility in Insights.

Permissions & Access:
Confirm that the job has the necessary permissions to write data into the Insights module or database.

Data Mapping:
Review if there have been any recent changes to data mapping or schema that might have broken the integration.

Test Manually:
Try running the job manually to see if it populates data correctly. This can help isolate whether the issue is with scheduling or data processing.

If you can share more details (such as the platform you're using, error messages, or screenshots), the community might be able to provide more specific solutions.