Data Retention and Cleanup

Difficulty: ⭐⭐⭐ (Medium)
Component: Storage

Description: Implement automated data retention policies and cleanup mechanisms to manage database growth over time. Create configurable retention policies that specify how long different types of data should be kept (scan results, version history, drift reports), add automated cleanup scheduling that runs periodically to remove old data without impacting performance, and support flexible data archival that exports old data before deletion for compliance or analysis purposes. Implement progress reporting for cleanup operations showing what's being removed and how much space is being recovered, add data export capabilities before cleanup to ensure no data is lost permanently, and implement thorough retention policy validation to prevent accidental data loss. Include cleanup dry-run mode to preview what would be deleted, add cleanup metrics tracking space recovered and records removed, and support custom retention policies per tenant or cluster for different organizational needs.

Acceptance Criteria:

• Implement configurable retention policies
• Add automated cleanup scheduling
• Support data archival
• Add cleanup progress reporting
• Implement data export before cleanup
• Add retention policy validation

Why Now: Builds on the migration system to provide data lifecycle management.