Circle K 用 Amazon Bedrock 将 DevOps 故障分诊缩短至 15 分钟内
原标题：How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock
AI 摘要
Circle K 与 AWS 合作，基于 Amazon Bedrock 构建了 agentic AI 自动故障分诊系统，用于处理其 27 个国家 17,200 多家门店背后的云原生基础设施告警。系统通过 Grafana 告警触发，经 SNS、SQS、Lambda 调用 Bedrock Flows 编排多个专用 agent 并行调查日志、服务健康状态和内部 runbook，并在数分钟内将结构化摘要推送到 Slack。部署后平均分诊时间降至 15 分钟以内，按团队内部指标减少 67–75%。文章还介绍了从 Bedrock Flows 迁移到 Bedrock AgentCore 的架构演进。
正文节选
How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock This post was co-written with Marek Klatowicz, Cloud DevOps Engineer at Circle K. Many DevOps teams know the incident triage pattern: An alert fires, and before anyone can fix the problem, an engineer spends 45–60 minutes figuring out what happened. They pull logs, check service health, and correlate symptoms across a handful of tools. All of this happens before remediation can begin. At Circle K, this challe