Kubernetes changes application operations from managing individual containers to declaring resources that the cluster continually reconciles. This hands-on course builds that mental model while you run Nginx workloads on a local Kubernetes cluster.
You will work directly with kubectl and YAML: verify cluster access, create and inspect Pods, debug a running container, manage replicas with a Deployment, and route traffic through a Service. A final challenge asks you to deploy and expose an application, perform a rolling image update, and restore the stable version with a rollback.
What You Will Learn
- Start a single-node Minikube cluster and verify the active
kubectlcontext, control plane, and node status - Define an Nginx Pod in YAML, apply it, and interpret its status, readiness, details, and events
- Investigate a running Pod with
kubectl logs,kubectl exec, and temporary port forwarding - Create a Deployment with aligned selectors and Pod labels, then observe its ReplicaSet-managed replicas
- Demonstrate self-healing by deleting a managed Pod and scale a Deployment to a new replica count
- Configure a NodePort Service, correct its selector, and trace traffic from the node port to an Nginx Pod
- Deploy, expose, update, monitor, and roll back a stateless application in the final challenge
Who This Course Is For
This course is designed for DevOps learners, developers, and Linux administrators who want their first practical Kubernetes workflow.
Prerequisites: Comfort using a Linux terminal; basic familiarity with containers and YAML is helpful but not required.
Learning environment: A browser-accessible Linux terminal with Docker, kubectl, Minikube, nano, and curl; the labs run a local single-node Minikube cluster with the Docker driver, so no cloud account is needed.
Frequently Asked Questions
Does this course use a real Kubernetes cluster or only simulated commands?
You run real Kubernetes resources in a local single-node Minikube cluster. The labs create Pods, Deployments, ReplicaSets, and Services and inspect their live state with kubectl.
Will I learn how to troubleshoot running Pods?
Yes. You read container logs, open a shell with kubectl exec, inspect the image's operating-system information, review Pod events, and test an Nginx endpoint through port forwarding.
Does the course cover production cloud deployment or advanced Kubernetes administration?
No. It focuses on foundational workload operations in Minikube. Managed cloud clusters, multi-node administration, persistent storage, ingress controllers, and production security are outside its scope.
What does the final challenge verify?
You create a three-replica Nginx Deployment and a Service on port 80, update the image from nginx:1.19.0 to nginx:1.19.1, monitor the rollout, and roll back so the final Deployment again uses the stable 1.19.0 image.
