I Built an AWS DevOps AI Agent Using Kiro Crew + MCP

说明与用途

Kiro Crew 代理使用 AWS DevOps Agent 通过 MCP 自动检测、调查并在 5‑7 分钟内修复 ECS、CodeBuild、CodePipeline 和 Lambda 的故障，降低 MTTR 并消除无声故障。

问题

Silent failures in AWS services (ECS, CodeBuild, CodePipeline, Lambda) that never trigger alarms, leading to prolonged MTTR and resource waste.

结果

Automated detection and remediation reduced MTTR from 1‑3 hours to 5‑7 minutes, eliminated silent compute waste, and provided audit trails for every incident.

工作流

• Configure Kiro Crew MCP server for AWS DevOps Agent
• Set up a cron job to run every 30 minutes
• Kiro Crew spawns 5 parallel subagents to check ECS, CI/CD, CloudWatch, DevOps Agent, and Lambda
• DevOps Agent performs root‑cause analysis and generates mitigation plan
• Kiro Crew executes fixes or opens a PR for human approval
• Kiro Crew verifies service health and logs actions

证据

Kiro Crew agent was awake. It spawned 5 parallel investigations, called AWS DevOps Agent for a health assessment, found the root cause across ECS, CodeBuild, CodePipeline, and Lambda, and flagged everything with severity‑prioritized fixes. By 3:24 AM, done.

来源

The architecture diagram shows Kiro Crew orchestrating DevOps Agent and executing fixes.

来源