Agentic Devops with Claude Code

Most AI-for-DevOps material stops at "ask Claude to write the YAML. " This course does not. You build agents that do real operations work on a real, broken system — and the guardrails that make them safe to point at production.

The spine is Northstar Commerce. You join its platform team and inherit one flawed repository: two services, a fault-injectable upstream, a Terraform estate, Helm charts, CI, Prometheus and Alertmanager, open incident tickets, and scripts that inject faults and grade your work. Every module improves that same repo.

Nothing here is a toy example. What you buildA triage agent that reads a live Kubernetes cluster, ranks five simultaneous faults by blast radius, and remediates through a second identity the first one structurally cannot useAn IaC engineer that authors a Terraform module test-first and prices the change before it shipsA release gate that decides whether a candidate ships, emits a schema-validated verdict your pipeline branches on, and holds no deploy authority at allAn incident investigator that produces an evidence packet where every claim names the command that produced it — and declares what it did not checkA four-role security team that ranks scanner findings by reachability instead of raw CVSSAn always-on agent wired to a real Alertmanager alertWhat you learn around themThe agents are the easy part. The operating layer is the course.

Context as a budget, not a bucket — scoped instruction files, evidence contracts, bounded queriesModel and effort as a staffing decision, with an OpenTelemetry run ledger to prove the billRunbooks compiled into Agent Skills that a role can actually invoke — and tested against positive, negative and ambiguous casesTool interfaces chosen deliberately: raw CLI, wrapper script, Skill or MCP serverHooks that enforce where a prompt only asks — and RBAC that still holds after you delete the hookRole-specific subagents with mechanically tested authority, and orchestration that does not collapse into three agents echoing one guessHow it is taughtEvery module is a Lesson, a Lab, a Quiz, and a Deep Dive where the topic earns one. Labs are copy-runnable and validated live against the real stack before publish, so when a page shows you an output, that output is real — including the run that cost $0. 34 and the ones that fail.

Claims are measured, not asserted. Where a control does not actually hold, the course says so and shows you the measurement that proves it. Every command runs on a Claude Pro or Max subscription.

You do not need an Anthropic API key. Who this is forDevOps, SRE, platform, Kubernetes and DevSecOps engineers with working experience in Git, containers, CI/CD, Terraform and Kubernetes. Claude Code is taught from zero.

The DevOps stack is not. Early accessEvery module is live now — from first principles through context and cost engineering, skills, hooks, subagents and orchestration, into Kubernetes triage, release engineering, incident response, agentic SecOps, always-on agents, agent evaluation and the capstone. Each one ships with video walkthroughs, a hands-on lab, a written deep dive and a knowledge check.

Enrol now at the early-access price, and every future addition is yours as it ships.