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RRETENTION-108 · Verify ongoing retention

Report retention backlog without listing customer file names

Practice briefChoreIntermediate

The only retention report exports every filename to a general analytics dashboard.

Focused work estimate
2h + prerequisites
Priority in the scenario
Medium
Engineering practice
Observability · Data minimization

Estimated field mix

  • Privacy engineering60%
  • Site reliability40%

Field percentages are editorial estimates of the ticket's engineering focus. They total 100%; they are not measured time, proficiency scores, or ownership evidence.

Your next step

Review it, then add it to your workspace.

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Project context

A fictional support service keeps uploaded diagnostic files indefinitely. The exercise policy expires attachments 30 days after case closure, while a separately authorized investigation hold pauses removal. These are invented product rules, not legal advice or compliance certification.

Setup prerequisites

  • Create synthetic cases, attachment metadata and a fake object store with controllable failures.
  • Use an injected UTC clock and an authorized operator fixture; no real support uploads are needed.

Preceding work

Complete these dependencies, or supply their agreed outputs before taking this ticket.

Acceptance criteria

  • Expose aggregate eligible, held, failed and completed counts plus oldest eligible age.
  • Keep filenames, object keys and case content out of generic metrics.
  • Provide authorized drilldown through the scoped operational view instead of metric labels.

Implementation constraints

  • Use bounded outcome categories and distinguish zero eligible records from unavailable measurements.

Verification to include

  • Reconcile aggregate counts with a synthetic fixture containing each outcome.
  • Insert sensitive-looking filenames and verify no value reaches the metric payload.

Deliverables

  • Retention metrics and sanitized payload tests

Rollout and recovery

Run aggregate reporting beside the restricted preview; remove the old filename-based dashboard after validation.

Value of the work

For the engineer: Practice temporal policy, deletion races, exception authority and truthful recovery reporting.

For the team: Develop inspectable retention behavior that a company can review against its own approved data policy.

Evidence boundaries

Outcome Evidence: Tests, patches, and runbooks are requested deliverables. They become Outcome Evidence only through a qualified Mission and immutable Evidence IDs.

Ownership Evidence: Independent adaptation must be observed under a declared verification policy and cite immutable Evidence IDs. Completing a planning ticket establishes no Ownership Evidence.