cluster: dock-prod-01 · live
Break containers.
Fix them.
Ship with confidence.
Live Kubernetes clusters and Docker environments where real pressure teaches real skills. CKA prep, microservices migrations, Docker Compose untangling — all under production conditions.
14,200+
Labs Completed
+38 in last hour
97.4%
CKA Pass Rate
vs 64% industry avg
3.2s
Avg. Spin-Up
p99: 4.8s
cluster overview
auto-refresh: 5s
Node Health
node-01 (control-plane)94%
node-02 (worker)78%
node-03 (worker)61%
Pods · namespace: training4/5 running
NAMESTATUSRESTARTSAGE
nginx-deploy-7d4b9Running02m
api-gateway-6c8f2Running05m
redis-cache-9a1e3Running112m
worker-svc-3b7d1Pending00s
metrics-srv-2f5a8Running018m
94%
Deployment Success Rate
last 24h · 412 deploys
↑ 2.1%
vs yesterday
interactive lab
Don't read about
kubectl. Run it.
Every Dock lab drops you into a live cluster. No VMs to provision, no YAML to memorize before you touch anything. The cluster is already broken. Your job is to fix it.
Try a scenario:
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dock-lab · bash · namespace: training
connected
Welcome to dock-lab · Kubernetes v1.28.4 · 2026-05-30
engineer@dock-lab:~$
This is a live preview. Real labs run on dedicated clusters with full kubectl access.
Curriculum Explorer
The full stack.
From Compose to production clusters.
48labs
6 weeksduration
6modules
kubeadm bootstrapetcd backup/restoreHA control plane
deployment.yaml
apiVersion: apps/v1kind: Deploymentmetadata:name: api-gatewaynamespace: trainingspec:replicas: 3selector:matchLabels:app: api-gatewaytemplate:spec:containers:- name: gatewayimage: dock/gateway:v2.4.1resources:requests:memory: "128Mi" cpu:"250m"limits:memory: "256Mi" cpu:"500m"
Service Mesh — hover to trace
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Your first cluster is
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Drop in with your work email. We'll spin up a live Kubernetes environment before you finish reading this sentence. No environment setup. No YAML to write yet. Just a broken cluster and a terminal.
or continue with
"Our team had three weeks to migrate a 40-service Compose stack before a Series B demo. Dock's migration track was the only training that matched our actual situation — not a toy example. We shipped on time."