Kubernetes
Deploy, scale, and debug real workloads on Kubernetes.
42+
completed
~18.5h
total time
6
projects
Kubernetes Fundamentals
Stand up a real local Kubernetes cluster with kind, and learn the core object model by driving the cluster entirely from the command line.
Deployments, Services, and Ingress
Move from bare Pods to a self-healing Deployment, expose it with a Service, and route external traffic using the Kubernetes Gateway API.
ConfigMaps and Secrets
Externalize application configuration and sensitive values using ConfigMaps and Secrets, and learn the volume-vs-env-var trade-off.
Helm Charts
Package a Kubernetes application as a reusable, parameterized Helm chart, and learn the install/upgrade/rollback workflow.
Autoscaling and Resource Limits
Set CPU/memory requests and limits correctly and configure a HorizontalPodAutoscaler that scales a Deployment under load.
Debugging Production Clusters
Learn the non-disruptive toolkit for diagnosing broken workloads in a live cluster without editing manifests or restarting traffic.