Kubernetes & Docker Labs · New

Learn Kubernetes & Docker on real clusters — in your browser.

Every DevOps lab boots a dedicated VM with a live Kubernetes cluster or Docker engine. Run real kubectl and docker commands — nothing to install, every step verified.

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What's inside every lab

Dedicated VMLive kind ClusterDocker Enginekubectl & CLI tools
labs.cloudlearn.io/devops — lab vm
Live

Kubernetes Deployments Lab

Dedicated VM · private kind cluster

Step 3 of 4
Build and tag a container image
Deploy workloads to the cluster
Scale replicas and inspect pods
Pass automated cluster checks
kubectl

$ kubectl scale deploy shop-api \

--replicas=3

✓ 3/3 replicas ready

Check passed: deployment ready
PodsDeploymentsServiceskubectlDocker ImagesContainer NetworkingVolumesConfigMaps & SecretsScalingIngressCluster DNSNamespacesdocker composekindPodsDeploymentsServiceskubectlDocker ImagesContainer NetworkingVolumesConfigMaps & SecretsScalingIngressCluster DNSNamespacesdocker composekind

Why these labs work

Built for real work, not slide decks

A real cluster, all yours

Each lab provisions a dedicated VM with a private Kubernetes cluster or Docker engine — break it, rebuild it, nobody else is affected.

$ docker build -t shop-api:v2 .

Successfully tagged shop-api:v2

$ kubectl apply -f deployment.yaml

✓ Check passed: 2 ready replicas

1 : 1

a dedicated VM per learner — your own private cluster to break and rebuild.

Verified, not self-reported

Automated checks inspect your actual environment state. Completion is proof the work happened.

Break things safely

Every learner gets an isolated environment with security policies, cost controls, and automatic cleanup.

Zero local setup

No minikube on your laptop, no Docker Desktop license, no cleanup. Open the browser and the tooling is ready.

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Popular Kubernetes & Docker labs

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Imperative vs Declarative Pod Creation Side by Side
Beginner40 minutes

Imperative vs Declarative Pod Creation Side by Side

Create the same Pod three ways and see how kubectl run, dry-run YAML, and hand-written manifests all converge on apply.

Write Dockerfiles and Build Custom Images
Beginner1 hour

Write Dockerfiles and Build Custom Images

Author a single-stage Dockerfile from scratch, build a tagged image for a static site, and observe layer caching in action.

Drive Your First Cluster with kubectl Verbs
Beginner35 minutes

Drive Your First Cluster with kubectl Verbs

Practice kubectl get, describe, and explain on a pre-built kind cluster before touching any YAML.

Outcomes

What you'll walk away with

  • Pull, run, and manage Docker containers and images.
  • Configure container networking — bridges, custom networks, and DNS.
  • Drive a Kubernetes cluster with kubectl: pods, deployments, and services.
  • Practice imperative and declarative workflows side by side.

Who it's for

Built for the DevOps path

Cloud engineers

Adding Kubernetes and Docker to an existing cloud skill set.

Engineering teams

Standardizing container workflows before they reach production.

DevOps learners

Preparing for container-focused roles and interviews with real practice.

FAQ

Kubernetes & Docker labs, answered

Real clusters. Every DevOps lab boots a dedicated VM running a live Kubernetes cluster or Docker engine. You run real kubectl and docker commands against real infrastructure — not a mocked terminal or a recorded walkthrough.

Real clusters. Real containers. Zero install.

Launch a free lab, deploy a real workload, and let the checks prove it worked.

Train a Team