{
  "status": "Illustrative acceptance plan, not an executable test suite or observed production result",
  "topic": "Database connection pooling on Cloud Run",
  "date": "2026-11-04",
  "sourceArticle": "https://aptixlabs.com/insights/cloud-run-database-connection-pooling",
  "setup": [
    "Use synthetic accounts and records",
    "Record the environment and implementation version",
    "Agree the expected product contract before testing"
  ],
  "reviewSequence": [
    "Calculate the aggregate pool budget across instances and workers",
    "Bound waiting and surface saturation metrics",
    "Test scale-out with representative transaction behavior"
  ],
  "cases": [
    {
      "id": "1",
      "condition": "Instances scale out",
      "expectedBehavior": "Total connections remain within the planned budget",
      "observedBehavior": null,
      "status": "not_run"
    },
    {
      "id": "2",
      "condition": "The pool is exhausted",
      "expectedBehavior": "Requests receive controlled waiting or failure",
      "observedBehavior": null,
      "status": "not_run"
    },
    {
      "id": "3",
      "condition": "A transaction uses session-specific behavior",
      "expectedBehavior": "Pooling compatibility is explicitly tested",
      "observedBehavior": null,
      "status": "not_run"
    }
  ],
  "tradeoff": "A larger pool can reduce local waiting while worsening shared-database saturation. Optimize end-to-end throughput and failure behavior instead of assuming more connections always improve latency."
}