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AADMIT-102 · Define load and fairness

Define customer-visible report states and overload responses

Practice briefTaskIntermediate

The API returns accepted for jobs that may wait indefinitely, so customers repeatedly click generate.

Focused work estimate
2h 30m + prerequisites
Priority in the scenario
Medium
Engineering practice
API design · State modeling

Estimated field mix

  • API design50%
  • System design30%
  • Backend20%

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 analytics product lets customers schedule expensive reports at the top of the hour. The API remains available only if report work is admitted and cancelled predictably.

Setup prerequisites

  • Create a local scheduler model and synthetic report jobs.
  • Use fake execution providers; no customer queries or candidate code run on worker hosts.

Preceding work

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

Acceptance criteria

  • Distinguish rejected, queued, running and terminal states.
  • Specify bounded queue age and a retryable admission response.
  • Define what acceptance durably guarantees.

Implementation constraints

  • Use explicit state transitions and stable job identities.

Verification to include

  • Trace an admitted report to its durable queue state.
  • Reject an over-capacity request without creating a phantom report.

Deliverables

  • Admission response contract and state table

Rollout and recovery

Review the contract before accepting schedules; keep overload behavior explicit in the prototype.

Value of the work

For the engineer: Practice workload modeling, fairness and cancellation architecture.

For the team: Review controllable operating costs and predictable customer-facing overload behavior.

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.