How to enforce a cleanup policy on job cluster logs

[EDDatabricks]

We have a number of jobs on our databricks workspaces. All job clusters are configured with a dbfs location to save the respective logs (configured from Job cluster -> "Advanced options" -> "Logging").

However, the logs are retained in the dbfs indefinitely, even after 60 days (which is the retention period for job runs history). Is it possible to configure a clean up policy on logs older than a defined threshold via the databricks workspace? If it's not possible to achieve this within databricks, what would be a best practice to do this on Azure?

[Atanu]

@EDDatabricks Thanks for reaching out to us.

I think you should explore our Purge option is enabled or not. 
https://docs.databricks.com/en/administration-guide/workspace/settings/storage.html

[mtz629]

Pretty sure that controls what's available to the UI in terms of cluster logs, not what resides in the cluster-logs storage directory.  Those are two different considerations.