AWS Machine Learning Blog· Marek Klatowicz·· 6 h ago
How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock
How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock
AI summary
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.
Selection record
Threshold 60Official, first-handFirst 38Second 38
Not admittedSum of both 76 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：用Amazon Bedrock智能体自动分诊，实质AI应用
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com