Reconcile upload outcome counts without hiding dropped telemetry
The success percentage rises during a collector outage because failed uploads lose terminal events.
- Focused work estimate
- 2h 30m + prerequisites
- Priority in the scenario
- Medium
- Engineering practice
- Metrics correctness · Uncertainty
Estimated field mix
- Site reliability50%
- Data engineering30%
- Privacy engineering20%
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 document workspace wants to measure upload completion and failure. Its prototype sends filenames, document titles and raw errors to general analytics. Replace that path with a minimal event contract using synthetic traffic.
Setup prerequisites
- Create synthetic upload workflows and a local collector that captures received payloads.
- Define measurement questions and a separate restricted diagnostic store fixture.
Preceding work
Complete these dependencies, or supply their agreed outputs before taking this ticket.
- RTELEMETRY-101 · Translate upload questions into bounded telemetry events
- RTELEMETRY-102 · Reject unknown telemetry fields at the sending boundary
- RTELEMETRY-104 · Map upload errors to safe categories before analytics dispatch
- RTELEMETRY-106 · Drop telemetry safely when validation or the collector fails
- RTELEMETRY-103 · Use a short-lived workflow correlation ID with a defined scope
- RTELEMETRY-105 · Keep restricted upload diagnostics out of the analytics transport
- RTELEMETRY-107 · Expire raw workflow events while preserving only approved aggregates
Acceptance criteria
- Define denominators and windows from the event contract.
- Expose incomplete operations and dropped events instead of treating missing completion as success.
- Mark comparisons incomplete when collection gaps prevent a supported result.
Implementation constraints
- Keep uncertainty visible; never invent missing user behavior with model guesses.
Verification to include
- Replay success, failure, duplicate and missing-terminal sequences and reconcile counts.
- Simulate asymmetric loss and verify the report is incomplete rather than improved.
Deliverables
- Outcome aggregation and collection-gap regressions
Rollout and recovery
Compare the new calculation with the old one on synthetic traces before changing the report.
Value of the work
For the engineer: Practice minimization, safe failure handling and correct aggregates.
For the team: Produce useful operational measurements with a reviewable collection boundary and disclosure regression suite.
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.