Deduplicate retried checkout attempts in indicator calculations
Client retries inflate both request volume and apparent success.
- Focused work estimate
- 2h 30m + prerequisites
- Priority in the scenario
- High
- Engineering practice
- Metrics · Idempotency
Estimated field mix
- Site reliability60%
- Data engineering40%
Field percentages are editorial estimates of the ticket's engineering focus. They total 100%; they are not measured time, proficiency scores, or ownership evidence.
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Project context
A fictional checkout service reports process uptime while customers experience failed orders and slow confirmations.
Setup prerequisites
- Create synthetic request and order-event traces plus a local query or metrics fixture; no production telemetry required.
Preceding work
Complete these dependencies, or supply their agreed outputs before taking this ticket.
Acceptance criteria
- Count one logical attempt under the declared identity.
- Preserve retry observations separately.
- Flag missing identities without guessing deduplication.
Implementation constraints
- Avoid user-identifying metric labels.
Verification to include
- Count a retried successful attempt once.
- Expose ambiguous records with missing attempt IDs.
Deliverables
- Deduplicated indicator query.
Rollout and recovery
Compare old and new counts before switching dashboards.
Value of the work
For the engineer: Practice SLI semantics, alert evaluation, and reliability tradeoffs.
For the team: Align reliability discussions with customer outcomes and explicit measurement limits.
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.