Kubernetes for absolute beginners

Summarizes Kubernetes architecture, detailing master node responsibilities, worker nodes, and core components like the cube api server, scheduler, controller manager, etcd, plus kubelet, kube proxy, and container runtimes.

Learn YAML basics, a human-friendly data serialization language used to write configuration files for tools like GitLab, GitHub Actions, and Kubernetes, using indentation, key-value pairs, dictionaries, and lists.

Explore pods in Kubernetes and how they encapsulate containers. Learn why scaling uses multiple pods, not more containers, and review the pod lifecycle and scheduling on worker nodes.

Learn to create a pod in Kubernetes using a YAML file by defining apiVersion, kind, metadata, and spec, then apply with kubectl and verify with kubectl get pods.

Learn to create a pod in Kubernetes by drafting pod.yaml with apiVersion v1, kind pod, and nginx container, then apply with kubectl and verify with get pods and describe pod.

Discover how Kubernetes replica sets maintain a desired number of pod replicas, automatically replace failed pods, and scale deployments using YAML manifests and kubectl.

Deploy a Kubernetes replica set with a YAML file, launch three nginx pods using labels and selectors, and learn to scale and replace pods automatically.

Learn how deployments in Kubernetes replace replica sets to achieve zero-downtime updates, with rolling updates, scaling, rollbacks, and practical YAML and kubectl commands.

Learn how to manage updates with Kubernetes deployments to avoid downtime, using rolling updates, scaling, and rollbacks to maintain the desired number of pods.

Enables internal and external access in Kubernetes by using the NodePort service, mapping a node port to pod ports, guided by labels and selectors.

Expose a Kubernetes app to the internet with a NodePort service. Create an nginx deployment and access pods from outside the cluster.

Explore how cluster IP services enable pod-to-pod communication inside a Kubernetes cluster, exposing a Django backend to frontend pods via a stable service name.