Why it matters
Data accumulates in more places than the primary database. Retention rules give each class of data a lifecycle, from creation through archival and deletion.
A policy must account for customer configuration, legal holds and operational backups. Automatic pruning should be observable and reversible where the product promises a recovery window.
Decisions to make
- Classify records by retention need rather than using one global duration.
- Choose when the clock starts for each record type.
- Define legal hold and deletion-request precedence.
- Decide whether archived data remains searchable or restorable.
- Explain how backup retention differs from live-data retention.
Build checklist
- Store effective policy and expiration metadata with tenant context.
- Run pruning through idempotent jobs with bounded batches.
- Apply rules to objects, indexes, caches and derived data.
- Report upcoming and completed pruning to administrators.
- Test changes to a policy while records are already aging.
Common mistakes
- Pruning database rows while keeping old copies in object storage indefinitely.
- Deleting records under legal hold because one generic TTL was applied.
- Claiming immediate deletion when backups have a separate expiry window.
Tools & references
3 starting points to compare or study. Check fit, maintenance, terms and current capabilities before choosing one.
