Agentic DevOps with Claude Code
Build governed AI platforms on Kubernetes with GitOps, observability, and self-service workflows
Created by Michael Rishi Forrester
Learn how to build a governed AI platform using Claude, Kubernetes, and GitOps. You'll set up agentic DevOps workflows that respect your platform's controls, add observability, and enable developer self-service. Each phase is designed for production readiness and validation.
Packt | Sep 2026 | 322 min
What You Will Learn
You'll work through practical sections that guide you in setting up a cloud-native foundation with tools like Argo CD, cert-manager, and Kyverno. Step by step, you'll introduce AI agents, establish trust boundaries, and add observability. Each section helps you validate and secure your workflows for real-world production use.
Key Features
- Control Claude and agent workflows with specifications, permissions, and tests
- Build governed agent and model infrastructure on Kubernetes using GitOps
- Create a self-service developer path from request to traced agent with Backstage
Target Audience
This course is designed for platform engineers, DevOps engineers, SREs, cloud engineers, and platform architects who want to add governed AI capabilities to Kubernetes environments. It's ideal if you have experience with Kubernetes, Helm, and GitOps, and are looking to build, operate, or assess AI-native internal developer platforms.
