{
  "status": "Illustrative acceptance plan, not an executable test suite or observed production result",
  "topic": "Cloud Run cold start measurement",
  "date": "2026-11-04",
  "sourceArticle": "https://aptixlabs.com/insights/cloud-run-cold-start-optimization",
  "setup": [
    "Use synthetic accounts and records",
    "Record the environment and implementation version",
    "Agree the expected product contract before testing"
  ],
  "reviewSequence": [
    "Trace startup dependency initialization and request handling separately",
    "Compare samples under recorded revision and load conditions",
    "Change one configuration variable and repeat the experiment"
  ],
  "cases": [
    {
      "id": "1",
      "condition": "A warm request is still slow",
      "expectedBehavior": "Investigate dependencies rather than blaming startup",
      "observedBehavior": null,
      "status": "not_run"
    },
    {
      "id": "2",
      "condition": "A revision changes initialization",
      "expectedBehavior": "Record the new readiness behavior",
      "observedBehavior": null,
      "status": "not_run"
    },
    {
      "id": "3",
      "condition": "Minimum instances increase",
      "expectedBehavior": "Evaluate both latency distribution and operating cost",
      "observedBehavior": null,
      "status": "not_run"
    }
  ],
  "tradeoff": "Keeping instances warm can reduce some startup exposure while increasing baseline cost. The right configuration depends on latency requirements, traffic shape and the rest of the request path."
}