Keep missing telemetry distinct from successful service
A metrics outage produces an empty query that the dashboard renders as healthy.
- Focused work estimate
- 2h + prerequisites
- Priority in the scenario
- High
- Engineering practice
- Monitoring
Estimated field mix
- Site reliability80%
- Frontend20%
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
- Represent no data separately from zero failures.
- Display data freshness and coverage.
- Alert on measurement failure independently.
Implementation constraints
- Unknown reliability cannot consume zero budget by default.
Verification to include
- Show healthy complete telemetry.
- Drop a source stream and display unknown coverage.
Deliverables
- Missing-data handling.
Rollout and recovery
Enable measurement alerts before relying on budget policy.
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.