c1f23cfabe
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Review 盲點: coverage 7 維中原只實作 3 維 (monitoring/alerting/km),其餘 4 維永遠 unknown
v2 擴充:
+ auto_playbook: asset.name 出現在 playbooks.symptom_pattern/description (approved 狀態) → green
沒對應 playbook 但 type='k8s_workload' → yellow
+ auto_remediation: 過去 30d remediation_events.target_resource ILIKE asset.name → green
沒 target 但 k8s_workload/container → red (應有修復能力但沒)
+ auto_rule_matching: 過去 30d incidents.affected_services ILIKE asset.name
或 incidents.alertname match alert_rule.labels.host/namespace → green
沒觸發 → yellow (可能沒問題也可能沒覆蓋)
+ auto_rule_creation: alert_rule_catalog source='ai_generated' match asset → green
目前全 yaml_hardcoded → 全 red (表示尚未由 AI 主動建規則)
未來 Hermes 產出 AI rule 後會變 green
解鎖: coverage 7 維完整 SLO KPI (MASTER §7.1)
- red count = 真正的治理缺口
- green ratio = 自動化成熟度
- AI 可主動推薦 red asset 的補覆蓋動作
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>