74 lines
3.0 KiB
Markdown
74 lines
3.0 KiB
Markdown
---
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title: "Self-Healing Systems"
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type: concept
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tags: [aiops, automation, reliability, agentic-ai]
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date: 2026-04-14
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aliases:
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- Self-Healing
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---
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## Definition
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自愈系统（Self-Healing Systems）是能够**自动检测异常、诊断问题并执行修复操作**的智能系统，无需人工干预即可恢复正常运行状态。这是[[Agentic AI]]和[[AIOps]]的核心能力之一。
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## How It Works
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```
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┌──────────────┐ ┌──────────────┐ ┌──────────────┐
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│ Anomaly │ → │ Diagnosis │ → │ Repair │
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│ Detection │ │ & Root │ │ Action │
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│ │ │ Cause │ │ │
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└──────────────┘ └──────────────┘ └──────────────┘
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↓ ↓ ↓
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AI/ML Model Decision Tree Automated Script
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+ Metrics + Knowledge Base + Runbooks
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↓
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┌──────────────┐ ┌──────────────┐
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│ Monitoring │ ← │ Verification │
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│ Close │ │ & Report │
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└──────────────┘ └──────────────┘
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```
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## Self-Healing Actions
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| 动作类型 | 描述 | 示例 |
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|----------|------|------|
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| Restart | 服务重启 | Pod重启、进程重启 |
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| Scale | 扩缩容 | 增加Pod数量、扩容资源 |
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| Evict | 驱逐问题节点 | Kubernetes节点驱逐 |
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| Cleanup | 资源清理 | 清理磁盘、释放连接池 |
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| Rollback | 版本回滚 | 回到上一个稳定版本 |
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| Reroute | 流量切换 | DNS切换、负载均衡调整 |
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## In ITSM Context
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在[[ITSM 2.0]]的[[Incident-Management]]中，自愈是关键能力：
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### AIOps-Powered Self-Healing
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- Real-time observability drives rapid detection
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- ML models predict failure before it happens
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- Automated runbooks execute recovery
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- Continuous learning improves future responses
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### Kubernetes Self-Healing
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[[Kubernetes]]提供原生自愈机制：
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- **Liveness Probes** — 自动重启不健康容器
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- **Readiness Probes** — 停止流量到不健康Pod
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- **Node Failure Detection** — 自动重新调度Pod
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## Related Concepts
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- [[Agentic AI]] — 自愈的驱动者
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- [[AIOps]] — 自愈的分析引擎
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- [[Incident-Management]] — 自愈的应用场景
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- [[Kubernetes]] — 自愈的主要载体
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- [[Root-Cause-Analysis]] — 自愈前的诊断过程
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- [[MTTR]] — 自愈改善的关键指标
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## Sources
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- [[how-agentic-ai-can-help-for-cloud-devops]] — Agentic AI自愈场景
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- [[understanding-complete-itsm]] — ITSM 2.0自愈能力
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- [[Agentic-AI]] — 实体页面中的自愈描述
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- [[Kubernetes]] — Kubernetes自愈机制
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