Helmdocker run to production cluster. One clear path.A hands-on course for backend engineers tired of “it works on my machine.” You'll containerize, orchestrate, and ship production workloads — starting from a bare Dockerfile, ending with a multi-node Kubernetes cluster under real traffic.
2,400+ engineers shipped their first cluster
100%
3/3 nodes ready
You write a working Dockerfile from scratch. Learn the layer cache, EXPOSE, multi-stage builds, and why .dockerignore saves your sanity. By the end you run your app in a container that behaves identically in every environment.
Real apps need a database, a cache, maybe a queue. Docker Compose wires them together with a single YAML file and a single command. You'll model a production-like stack locally — API, Postgres, Redis — and understand service discovery, volumes, and health checks.
$ docker compose up -d
✓ 3 containers started
The moment where K8s clicks. You'll run a local cluster with kind, understand the API server, etcd, scheduler, and kubelet — then deploy your containerized app as a Pod, expose it via a Service, and watch Kubernetes restart it when it crashes.
Push a new image and watch Kubernetes replace pods one by one — zero downtime. Configure a HorizontalPodAutoscaler to scale under load. Write liveness and readiness probes so bad deploys never reach users. This is production-grade.
$ kubectl rollout status deployment/api
✓ deployment "api" successfully rolled out
Install Prometheus and Grafana with a single Helm chart. Write your first Helm chart to package your own app. Set up structured logging with Loki. By graduation you're reading real dashboards, setting alerts, and shipping your app as a reusable chart.
You've seen the depth
Module One is completely free. No credit card, no time limit. Just you, a terminal, and a cluster that actually runs.
Start Module One FreeReal engineers. Real clusters. Real results.
“I went from googling 'what is a pod' to deploying a 3-replica API with autoscaling in three weeks. The terminal-first approach is exactly how I learn.”
Marcus Chen
@mchen_dev
“My manager handed me a kubectl login on a Monday. By Friday I actually understood what was running. Helm finally made the control plane click.”
Priya Nair
@priya_k8s
“Deployed my side project to a real cluster without asking anyone for help. The Compose-to-K8s migration module is worth the whole course.”
Tomás Herrera
@tomash_ships
“The late-night hackathon vibe is real. It's the first course where I actually stayed up to finish modules because I wanted to, not because I had to.”
Aisha Okonkwo
@aisha_builds
“Writing my first Helm chart felt like learning to read. Suddenly the community charts I'd been cargo-culting made total sense.”
Sven Larsson
@sven_infra
“The Prometheus + Grafana module paid for itself in 20 minutes. Found a memory leak in prod that had been costing us $400/month.”
Rachel Kim
@rkim_sre
2,400+
Engineers enrolled
94%
Complete all 5 phases
3 weeks
Avg. time to first cluster
4.9 / 5
Average rating
Every module includes a browser-based lab environment — a real Kubernetes cluster running in your browser. No local setup, no cloud account. Just a terminal and a cluster that's already running.
Your first Dockerfile to a running container in under an hour. No setup required — the lab environment is ready when you are.