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

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/how-circle-k-accelerated-devops-incident-triage-to-under-15-minutes-with-amazon
> **Original Source**: [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/how-circle-k-accelerated-devops-incident-triage-to-under-15-minutes-with-amazon-bedrock/)
> **Author**: Marek Klatowicz (undefined)
> **Published Date**: Monday, November 2, 2026
> **Category**: RESEARCH
> **Tags**: AI, AWS ML Blog, research

## Executive 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...



## Full Coverage
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 challenge scaled with the business. The company operates more than 17,200 convenience and fuel retail stores across 27 countries. Behind the storefronts, a cloud-native infrastructure supports point-of-sale systems, loyalty applications, and electric vehicle (EV) charging applications running on AWS. As the company expanded its digital operations, the triage overhead grew with it. More services meant more alerts, and each one required the same manual investigation before remediation could begin

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