For large instances of Jira Software and/or Confluence running on Enterprise Data Center (at the scale of millions of issues and terabytes of attachments), having a standard process for purging stale data is vital.
Learn how to keep your database from growing indefinitely, improve performance, save money on shared disk and database disk costs, and reduce backup sizes and restore times. See how we use Python scripts, SQL queries, retention policies, legal holds, and REST API to purge issues and trash items, and keep our instances lean and clean.
Session speakers:
Joe Jadamec, Lead Software Engineer, Charter Communications
Andrew Morin, Director of Engineering, Technology Delivery & Agile Management, Charter Communications
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