---
name: al-622-cut-devops-incident-triage-from-an-hour-to-under-15-minut
description: "On Nov 2, 2026 AWS published a Circle K case study: the convenience retailer (17,200+ stores) built an Amazon Bedrock agentic triage pipeline for Grafana alerts. When an alert fires, specialized agents check ECS/CloudWatch health, OpenSearch logs/traces and GitHub code/commits in parallel, then an analysis step posts probable root cause, evidence, owner and next steps to Slack in 5–15 minutes. Mean triage time fell from 45–60 minutes to under 15 minutes (67–75% reduction). The team later moved the same logic to Bedrock AgentCore Runtime for longer investigations; humans still approve any remediation. Use when the user wants help with incident triage agent to slack (it & internal help) for a small business."
---

# Cut DevOps incident triage from an hour to under 15 minutes: have an AI agent pull logs, service health and recent code changes, then post a structured root-cause summary to Slack before anyone opens a terminal

On Nov 2, 2026 AWS published a Circle K case study: the convenience retailer (17,200+ stores) built an Amazon Bedrock agentic triage pipeline for Grafana alerts. When an alert fires, specialized agents check ECS/CloudWatch health, OpenSearch logs/traces and GitHub code/commits in parallel, then an analysis step posts probable root cause, evidence, owner and next steps to Slack in 5–15 minutes. Mean triage time fell from 45–60 minutes to under 15 minutes (67–75% reduction). The team later moved the same logic to Bedrock AgentCore Runtime for longer investigations; humans still approve any remediation.

## Inputs to collect first
Ask the user for anything below that they haven't already given you. Don't guess missing facts.

- The material the task is about (pasted text, notes or data)

## Instructions

Do the task below with the user's inputs in place of each [bracket].

1. List the tools your on-call already opens for every alert (logs, metrics, traces, deploy history, runbooks) and pick one alert type that always burns 30+ minutes of context gathering.
2. Give a coding/ops agent (Amazon Bedrock AgentCore, Claude, Cursor Automations or similar) read-only access to those sources plus a Slack channel; no restart or deploy permissions yet.
3. Instruct it: "When this alert fires, gather recent logs, service health, related traces and the last relevant commits. Return: probable root cause, evidence with timestamps, affected service/owner, and recommended next steps. Say what you could not verify."
4. Have it post that structured summary to Slack within a fixed time budget (for example 15 minutes) instead of raw alert noise.
5. Compare 10 incidents: time-to-first-useful-context with the agent vs without. Only after that accuracy check, let a human approve simple remediations (restart, scale, rollback) from Slack buttons.

## Safety checks (share these with the user)

- Check every figure, price and total against your own records before anything is sent, posted or booked. A person approves refunds, discounts, payments and price changes.
- Read and edit the draft before it reaches a customer or goes public. If you later automate this prompt, start with "draft and notify me", not "send automatically".
- Check names, dates, numbers and any claim against your own source material before you use the answer. AI can misread or invent details.
- Say clearly which parts need a person to review or approve before anything is sent, paid, posted or filed.

## About this skill

- Works with: Amazon Bedrock / AgentCore (or Claude/Cursor agent), Grafana or your monitor, CloudWatch/OpenSearch or equivalent logs, GitHub, Slack
- Based on this real-world example: https://aws.amazon.com/blogs/machine-learning/how-circle-k-accelerated-devops-incident-triage-to-under-15-minutes-with-amazon-bedrock/
- Free prompt from AgentPlaybook Real Estate: https://agentic-library.netlify.app/prompt/al-622-cut-devops-incident-triage-from-an-hour-to-under-15-minutes/
- To install in an agent that supports Agent Skills, save this file as SKILL.md in a folder with the same name as `name` above (for example in your skills directory). Install steps for Claude.ai, Claude Code, Cursor and Codex: https://agentic-library.netlify.app/skills/