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