Kubernetes: The Complete Kubernetes Masterclass

Discover how an open source system automates deployments, manages containerized applications, and schedules containers across a cluster, enabling service discovery and manual or horizontal auto-scaling.

Google leads large-scale containerized applications, sharing lessons from Borg's writing and operating. These insights inspired an open rewrite of Borg into a new cluster management system.

Explore the lineage of container orchestration technologies from Borg to Omega, Mesos, and Cloud Foundry, and see how Kubernetes fits into the ecosystem.

Explore where to find Kubernetes community information, including documentation, case studies, interactive tutorials, and YouTube talks. Learn how CNCF and the Linux Foundation host curator projects and incubator initiatives.

Demystify the Kubernetes architecture by exploring head and worker nodes, the API server, scheduler, controller manager, data store, cubit, Docker, and cube proxy.

Explore the community head node on a digital ocean droplet and see Cube SDM bootstrapping a Kubernetes cluster. Inspect the manifests directory with the API server, scheduler, and controller manager.

Explore the Kubernetes head node as the kubelet enforces manifest-driven pods, keeping the key-value store and API server, scheduler, and controller manager running, using Docker images for containers.

Explore the Kubernetes worker node by verifying kubelet is running on a digital ocean droplet and inspecting the systemd unit and manifests directory to align with the master node.

Explore the Kubernetes worker node setup, including kubelet, docker, and kube-proxy, plus Weave CNI networking, network policies, and how services and deployments configure pod networking and iptables.

Demystify Kubernetes cluster setup with three techniques: mini q for local environments, Google container engine G Cloud CLI for cloud clusters, and cube m cubed m to bootstrap quickly.

Install kubectl on macOS using Homebrew and verify kubectl is in your path after installation.

Install minikube to create a local Kubernetes cluster using a suitable hypervisor, with VirtualBox recommended. Then follow the minikube release instructions on GitHub and run the OS-specific install command.

Initialize a local Kubernetes workflow with Minikube, start a virtual machine, run the API server, scheduler, and controller manager, and verify versions and nodes for a ready v1.7.0 cluster.

Learn to install and manage minikube using essential commands, start and stop minikube, set up docker, access the Kubernetes dashboard, and observe containers and the dashboard running inside the vm.

learn how to create a Kubernetes cluster with Google Container Engine, using the Google Cloud SDK and gcloud commands to provision a three-node community cluster and configure credentials.

Bootstraps a multi-node Kubernetes cluster by hand using kubeadm installation, provisioning three Digital Ocean droplets with Ubuntu, installing Docker and kubectl, and configuring a network plugin.

Bootstraps a Kubernetes cluster by hand using kubeadm, turning the head node into a master and joining two workers, then provisioning a network overlay with Weave Net for node communication.

Explore how to talk to the Kubernetes API server using the cluster's client to start and manage containerized applications, all through API calls and server interactions.

Explore kubectl commands to manage resources in a Kubernetes cluster, performing CRUD operations against the API server. Create and delete deployments and pods, view resources, and inspect API endpoints.

Use curl through a local proxy to talk to the API server, issuing get, post, and delete requests to manage pods (via a manifest) and verify with listings.

Explore how Kubernetes namespaces create virtual clusters by scoping resource names for uniqueness within each namespace, allowing identical pod names across different namespaces, and enabling per-namespace network policies.

Learn to define and enforce resource quotas in Kubernetes by creating a hard limit in the default namespace, showing how quotas restrict resource creation within a namespace.

Learn to use labels to tag Kubernetes resources, query them efficiently, and route traffic for scalable, targeted management.

Discover and manipulate communities API resources, understand API versions (especially v1), and learn which objects belong to namespaces. Read API schemas and manifests to define containers, ports, and volumes.

Launch and scale pods using the Kubernetes API to build a distributed application, placing containers on nodes with a container runtime like Docker, and managing pods and data volumes.

Define a pod as a collection of containers via a manifest with apiVersion v1, kind pod, metadata name, and a spec with containers, then run ghost image from Docker Hub.

Learn how a replica set maintains a fixed number of pod replicas (5) by using label selectors and a pod template to automatically recreate failed pods, ensuring fault-tolerant scaling.

Build a Kubernetes service manifest to expose the ghost application, use label selectors to route traffic to pods, and configure a NodePort or cluster IP service tested via Minikube service.

learn to scale a Kubernetes application by adjusting a replica set and its pods with kubectl scale, watching replicas move from pending to running as you scale up and down.

Use a generator to deploy ghost by creating a deployment, replica set, and service, exposing Ghost via NodePort. Observe auto-created pods, replica sets, and rollout-friendly deployment with on-the-fly manifest edits.

Execute rolling updates in Kubernetes by editing a deployment to upgrade the container image, triggering a new replica set and seamless rollouts with rollback capability.

Browse Helm’s repositories of packages and install them on your cluster with a command. Extend the API on the fly with custom resource definitions (CRT) and explore Python client.

Explore Helm, the package manager for Kubernetes, and learn to browse charts, install packages from repositories, and manage deployments inside your cluster using templates, secrets, and Redis as an example.

Learn to extend the Kubernetes API with a custom resource definition (CRD), define a database object in a manifest, and manage it with a controller.

learn to use the Python client library for Kubernetes to talk to a cluster, load credentials and config, list pods and services, and create a pod using the v1 API.

Explore the Kubernetes API and primitives, understand the system's components, learn how to install it, and gain the skills to build distributed applications with a powerful, easy-to-use platform.