{
  "context": "Tests whether the response designs a coherent log aggregation pipeline for a microservices architecture.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Describes log collection from containers",
      "description": "Explains how to collect stdout logs (sidecar, DaemonSet log agent like Fluentd/Filebeat/Promtail, or Docker/K8s log driver)",
      "max_score": 10
    },
    {
      "name": "Includes a log processing/transport layer",
      "description": "Mentions a processing or buffering layer (Kafka, Fluentd, Logstash, Vector) for transformation, filtering, or buffering",
      "max_score": 10
    },
    {
      "name": "Recommends searchable storage",
      "description": "Suggests a log storage backend with search capability (Elasticsearch, Loki, OpenSearch, CloudWatch, etc.)",
      "max_score": 10
    },
    {
      "name": "Addresses request correlation",
      "description": "Recommends correlation/trace IDs propagated across services so logs for a single request can be linked",
      "max_score": 15
    },
    {
      "name": "No incorrect information",
      "description": "Architecture components and their roles are described correctly",
      "max_score": 10
    }
  ]
}