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40 lines
1.8 KiB
YAML
40 lines
1.8 KiB
YAML
root_cause_category: cpu_saturation_bad_query
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equivalent_root_cause_categories:
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- cpu_saturation
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required_keywords:
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- rollout
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- query
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- sequential scan
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- cpu
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- performance insights
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required_evidence_sources:
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- aws_performance_insights
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- aws_cloudwatch_metrics
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- k8s_rollout
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- k8s_pod_metrics
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forbidden_categories:
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- infrastructure
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- connection_exhaustion
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optimal_trajectory:
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- query_grafana_metrics
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- query_grafana_logs
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- query_grafana_alert_rules
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- describe_rds_instance
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- describe_rds_events
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max_investigation_loops: 3
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model_response: |
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ROOT_CAUSE: A query regression introduced in the latest checkout-api rollout caused cpu_saturation_bad_query on payments-prod. The new endpoint query removed a selective index predicate, triggering repeated sequential scans on orders and driving RDS CPU to 96%. This is application-query behavior correlated to rollout revision checkout-api-9bdaf, not an infrastructure failover.
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ROOT_CAUSE_CATEGORY: cpu_saturation_bad_query
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VALIDATED_CLAIMS:
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- Kubernetes rollout checkout-api-9bdaf completed 6 minutes before the CPU inflection, and no other service revisions changed. [evidence: k8s_rollout]
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- Performance Insights top SQL is a high-frequency SELECT with Seq Scan on orders and dominant CPU waits. [evidence: aws_performance_insights]
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- CloudWatch CPUUtilization increased from 38% to 96% while connections rose only moderately, ruling out pure connection exhaustion. [evidence: aws_cloudwatch_metrics]
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- Pod metrics show steady traffic growth, but the slope change aligns with rollout timing and SQL regression, not retry amplification. [evidence: k8s_pod_metrics]
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CAUSAL_CHAIN:
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- Rollout introduced query-plan regression.
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- Repeated sequential scans increased per-request DB work.
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- CPU saturated and request latency exceeded SLO.
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