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Circle K 基于 Amazon Bedrock 搭建智能体系统，将故障排查时间从 60 分钟压到 15 分钟内

How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock

官方一手AWS Machine Learning Blog@Marek Klatowicz
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Circle K 用 Bedrock 的 Flows 和 AgentCore 搭了套智能体排查系统，故障定位从 1 小时砍到 15 分钟，架构细节全公开。

Circle K 的 DevOps 团队在 Amazon Bedrock 上构建了一套智能体故障排查系统，把原本需要 45-60 分钟的事件定位流程压缩到 15 分钟以内。文章完整拆解了系统架构，先用 Amazon Bedrock Flows 实现初版，之后迁移到 Amazon Bedrock AgentCore。作者还分享了这套系统在规模化过程中踩过的坑和总结的经验。

Image · AWS Machine Learning Blog
Original · AWS Machine Learning Blog

How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock

Circle K's DevOps team cut incident triage from 45-60 minutes to under 15 by building an agentic triage system on Amazon Bedrock. This post walks through the architecture, the initial Amazon Bedrock Flows implementation, the migration to Amazon Bedrock AgentCore, and the lessons learned from scaling it.

#Amazon Bedrock#AgentCore#DevOps#智能体

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