Update nexus: fix conflicts and sync local changes

wiki/concepts/Predictive-Maintenance.md

@@ -1,69 +1,69 @@
----
-title: "Predictive Maintenance"
-tags:
-  - devops
-  - reliability
-  - ai
-  - operations
-created: 2026-04-25
----
-
-# Predictive Maintenance
-
-## Definition
-
-Predictive Maintenance 是基于历史故障模式学习，**主动建议补丁或变更**以预防非计划停机的方法。Agentic AI 分析历史运维数据，预测潜在故障并提前采取预防措施。
-
-## Mechanism
-
-```
-Historical Data → Pattern Learning → Failure Prediction → Proactive Action
-     ↓
-运维日志、告警历史、变更记录、监控数据
-     ↓
-ML 模型识别故障前兆模式
-     ↓
-- 磁盘 I/O 逐渐下降 → 预测磁盘故障 → 建议迁移
-- 内存使用率周期性峰值 → 预测 OOM → 建议扩容
-- API 响应时间逐步增加 → 预测容量瓶颈 → 建议扩缩容
-```
-
-## 与 Self-Healing Systems 的关系
-
-| 维度 | Reactive (Self-Healing) | Predictive (Predictive Maintenance) |
-|------|------------------------|-----------------------------------|
-| 时机 | 故障发生后修复 | 故障发生前预防 |
-| 目标 | 减少 MTTR | 减少 MTBF (Mean Time Between Failures) |
-| 成本 | 被动投入 | 主动投入，高 ROI |
-| 成熟度 | Level 4 AIOps | Level 5 AIOps |
-
-## 示例
-
-> Agentic AI analyzes 6 months of Kubernetes pod restart logs and identifies:
-> - Pods restart every 48-72 hours
-> - Pattern correlates with memory leak in v2.3.1 of service
-> - **Predicts**: Next scheduled restart will cause cascade failure
-> - **Proposes**: Patch to v2.3.2 + preventive restart during low-traffic window
-
-## 与 [[AIOps]] 的关系
-
-Predictive Maintenance 是 [[AIOps]] Level 5 (Optimizing) 的核心能力：
-
-```python
-DevOps_Maturity_AIOps = {
-    "Level 3 - Defined": "Smart Alerting",
-    "Level 4 - Advanced": "Self-Healing: Automated Remediation",
-    "Level 5 - Optimizing": "Predictive Maintenance ←"  # ← 本页
-}
-```
-
-## Related Concepts
-
-- [[Self-Healing Systems]] — Predictive 是 Reactive 的进化
-- [[AIOps]] — Predictive Maintenance 是 AIOps 的高级能力
-- [[MTTR]] — Predictive 改善 MTBF，MTTR 不变但故障减少
-- [[Availability]] — Predictive 直接提升可用性
-
-## Related Sources
-
-- [[how-agentic-ai-can-help-for-cloud-devops]]
+---
+title: "Predictive Maintenance"
+tags:
+  - devops
+  - reliability
+  - ai
+  - operations
+created: 2026-04-25
+---
+
+# Predictive Maintenance
+
+## Definition
+
+Predictive Maintenance 是基于历史故障模式学习，**主动建议补丁或变更**以预防非计划停机的方法。Agentic AI 分析历史运维数据，预测潜在故障并提前采取预防措施。
+
+## Mechanism
+
+```
+Historical Data → Pattern Learning → Failure Prediction → Proactive Action
+     ↓
+运维日志、告警历史、变更记录、监控数据
+     ↓
+ML 模型识别故障前兆模式
+     ↓
+- 磁盘 I/O 逐渐下降 → 预测磁盘故障 → 建议迁移
+- 内存使用率周期性峰值 → 预测 OOM → 建议扩容
+- API 响应时间逐步增加 → 预测容量瓶颈 → 建议扩缩容
+```
+
+## 与 Self-Healing Systems 的关系
+
+| 维度 | Reactive (Self-Healing) | Predictive (Predictive Maintenance) |
+|------|------------------------|-----------------------------------|
+| 时机 | 故障发生后修复 | 故障发生前预防 |
+| 目标 | 减少 MTTR | 减少 MTBF (Mean Time Between Failures) |
+| 成本 | 被动投入 | 主动投入，高 ROI |
+| 成熟度 | Level 4 AIOps | Level 5 AIOps |
+
+## 示例
+
+> Agentic AI analyzes 6 months of Kubernetes pod restart logs and identifies:
+> - Pods restart every 48-72 hours
+> - Pattern correlates with memory leak in v2.3.1 of service
+> - **Predicts**: Next scheduled restart will cause cascade failure
+> - **Proposes**: Patch to v2.3.2 + preventive restart during low-traffic window
+
+## 与 [[AIOps]] 的关系
+
+Predictive Maintenance 是 [[AIOps]] Level 5 (Optimizing) 的核心能力：
+
+```python
+DevOps_Maturity_AIOps = {
+    "Level 3 - Defined": "Smart Alerting",
+    "Level 4 - Advanced": "Self-Healing: Automated Remediation",
+    "Level 5 - Optimizing": "Predictive Maintenance ←"  # ← 本页
+}
+```
+
+## Related Concepts
+
+- [[Self-Healing Systems]] — Predictive 是 Reactive 的进化
+- [[AIOps]] — Predictive Maintenance 是 AIOps 的高级能力
+- [[MTTR]] — Predictive 改善 MTBF，MTTR 不变但故障减少
+- [[Availability]] — Predictive 直接提升可用性
+
+## Related Sources
+
+- [[how-agentic-ai-can-help-for-cloud-devops]]