[Part 3/3] AI and DevOps: Balancing Innovation and Responsibility

Series: 10x your DevOps Engineering in the AI Era
A 3-part hands-on workshop series for DevOps engineers who want to work smarter with AI. Across three sessions, we'll build one complete project on AWS , from writing infrastructure code with AI assistants, to shipping it through AI-powered pipelines, to monitoring it with self-healing AI agents. Each session is 1 hour: concepts, live demo, and Q&A. All code and resources shared after each session. Whether you're just getting started or looking to level up, this series will change how you do DevOps.

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Part 1: The Dev — AI-Powered Infrastructure as Code

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Part 2: The Pipeline — AI-Powered CI/CD

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Part 3: The Ops — AI-Powered Monitoring & Self-Healing
What if your infrastructure could diagnose and fix itself at 3am without paging you? In this final session, we enter the Ops side AIOps on AWS using Bedrock agents, CloudWatch AI features, and the newly GA AWS DevOps Agent. You'll learn how to build a Bedrock agent that reads your runbooks via Knowledge Bases, reasons about incidents, and executes remediation through Lambda action groups all with Guardrails that prevent it from doing anything dangerous. We'll cover CloudWatch's natural language queries, AI-powered investigations, anomaly detection, and DevOps Agents. Live demo: we simulate a production alarm and watch an AI agent detect the issue, pull the relevant runbook, reason about the root cause, auto-remediate, and notify Slack.