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DREL-105 · Control change and failure

Canary one cohort with a measurable abort rule

Practice briefTaskAdvanced

A canary is called healthy because no one watched it for long, despite a synthetic error spike in one endpoint.

Focused work estimate
4h + prerequisites
Priority in the scenario
High
Engineering practice
Progressive delivery · Release analysis

Estimated field mix

  • DevOps60%
  • 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.

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Project context

A fictional scheduling API is rebuilt separately for test, staging, and production-like local environments. The resulting images differ, release notes list the branch instead of the artifact, and rollback rebuilds old source with new dependencies. Use a local registry simulator and synthetic deployments; no cluster or customer traffic is supplied.

Setup prerequisites

  • Artifact digests
  • Release states
  • Health checks

Preceding work

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

Acceptance criteria

  • Canary binds cohort, duration, traffic minimum, and comparison baseline
  • Abort evaluates declared error and latency thresholds
  • Insufficient observations remain inconclusive

Implementation constraints

  • Use deterministic synthetic traffic; thresholds apply only to this exercise.

Verification to include

  • Run a healthy canary through the full observation window.
  • Inject an endpoint-specific regression and confirm automatic halt before wider rollout.

Deliverables

  • Canary policy, evaluator, and regression fixtures

Rollout and recovery

Expand only after a conclusive passing result.

Value of the work

For the engineer: Practice immutable promotion, release authority, compatibility gates, canaries, and rollback.

For the team: Review a delivery flow that can identify exactly what is running and restore a known artifact without rebuilding it.

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.