8 docs tagged with "archiving"

Release stores completed releases in a database that is separate from the repository: the archived database. Besides the completed releases, metadata for reporting is stored in this database.

You can automate the cleanup of old releases by setting up a template with a cleanup script that will be periodically triggered by the criteria that you provide. You can use this procedure in cases where many releases are in a failed state that are older than the specified period of time.

This topic explains how to create a JDBC export hook in Release, allowing you to export data from the release system to a JDBC-compliant database. For more information, see Release export hooks.

You can use the export hook feature to configure Release to run a Jython script for every release that is about to be archived.

Archiving in Digital.ai Release is a two-stage process that manages completed and aborted releases:

You can clean up the archived releases in the archive database by purging the archived releases.

In this topic, you will learn how to configure the releases, workflows, and triggers settings.

This topic explains how to start a new release from an archived release by using the original template and variable values