Stripe 利用图搜索和状态机自动化数据库修复
原标题：Stripe Uses Graph Search and State Machines to Automate Database Remediation
AI 摘要
Stripe 工程团队通过将 MongoDB 基础设施建模为图，并利用图搜索算法（如 Dijkstra）和状态机来自动化数据库修复，取代了原先硬编码的插件式修复系统。该系统动态适应不同的分片布局，使数据库相关的寻呼警报减少了约 30%，每年减少 200 次寻呼，并消除了约 12 天的不健康分片状态。团队计划将该框架扩展到拓扑变更、蓝绿部署和计划维护的自动化。
正文节选
The engineering team at Stripe recently described how they automated database incident recovery by modeling their global infrastructure as a graph. Using graph search algorithms together with state machines, the team computes and executes remediation plans automatically. According to the authors, the system now dynamically adapts to different MongoDB shard layouts, reducing database-related pager alerts by about 30%. This translates to 200 fewer pages per year, while eliminating an estimated 12