Kubernetes Certification Training For Absolute Beginners

Kubernetes is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications across clusters, integrates with Docker, with origins at Google and maintenance by the CNCF.

Explore how containers package an app and its dependencies into a lightweight, isolated unit that shares a kernel with the host, unlike full virtual machines.

Install and configure Docker on Linux, update apt repositories, add the Docker CE repository, install Docker Community Edition, verify the installation, and prepare to run containers locally before Kubernetes setup.

Install Docker Desktop on Windows, set up Chocolatey, and install kubectl and minikube to run Linux-based Kubernetes containers locally.

Learn to install Docker Desktop on Mac, set up the Cuban Eddie CLIA tool and mini cube via Homebrew, sign into Docker Hub, and verify with Docker version.

Create a Docker file based on Alpine, then build a Docker image. Run and manage containers with Docker run, and copy scripts into the image.

Learn to containerize an existing Node.js weather app by building a docker file from docker hub's node alpine image, installing dependencies, exposing port 3000, and running and testing the container.

Explore how to run Kubernetes clusters across virtual machines or bare metal, using Google Kubernetes Engine or AWS container service, and locally with mini cube for development.

Install minikube and kubectl to run a local Kubernetes cluster using VirtualBox, then deploy a test app with a deployment and service, and verify with curl.

Create and deploy a pod with a yaml resource file, detailing apiVersion, kind, metadata, labels, and a busybox container; learn yaml syntax and kubectl deployment basics.

Explore the Kubernetes architecture, from the master with API server, scheduler, and control manager to nodes running kubelet, kube-proxy, and containers. Understand how services and NodePort expose pods.

Explore Kubernetes networking and services, including node port, cluster IP, and load balancer types, and how pods receive private IP addresses while node ports forward to pods' target ports.

Explore Google Cloud Platform's Kubernetes Engine by creating a standard cluster, connecting via Cloud Shell, and launching workloads with the workloads dashboard and kubeconfig.

Connect to the Google Cloud Platform with the Google Cloud SDK, configure your project, and launch a pod deployment of engine X on a Kubernetes cluster using the web UI.

Explore how Kubernetes containers are orchestrated, including pods, deployments (and rolling updates), daemon sets, stateful sets, secrets, services, volumes, and networking across master node and minions.

Install Kubernetes with kubeadm, configure Docker, and initialize the cluster. Set up networking with Flannel, join nodes, and deploy a test service exposed on a node port.

Learn to install and configure an application on Kubernetes by creating two deployments and services, configuring an ingress with routing rules on minikube, and validating traffic flow and pod logs.

Explore Kubernetes internals, including kubelet, kube-proxy, API server, etcd, controller manager, and scheduler, plus logging and auditing strategies via Docker logging, journald, and external backends.

Explore namespaces, contexts, labels, affinity, taints, tolerations, resource requests and limits, health checks, init containers, and persistent volumes and claims, with dashboard usage.