Kubernetes: Getting Started

Learn how container orchestration engines automate deploying, scaling, and managing containerized apps across clusters to handle dynamic traffic, with features like clustering, scheduling, scalability, load balancing, fault tolerance, and deployment.

Explore the top three container orchestration engines— Marathon, Docker Swarm, and Kubernetes— and learn how to choose the right tool for your team size, with Kubernetes as the gold standard.

Kubernetes is an open source container orchestration engine that manages containers at large scale, with deployment, scheduling, service discovery, monitoring, and secret management, born at Google and donated to CNCF.

Explore the Kubernetes architecture, including the master and worker nodes, ports and containers, and how the EPA server, scheduler, control manager, and a central distributed key-value database coordinate workloads.

Explore kubernetes installation methods, from play with gates and minikube to kubeadm, and cloud options like Google cuban release engine and Amazon Elastic container services for Cuban it is.

Explore kubernetes basics by using play with gates to create a browser-based kubernetes cluster, configure master and worker nodes, deploy a sample application, and understand cluster networking.

Initialize a Kubernetes cluster with kubeadm by configuring a master and three workers, installing Docker and kubeadm tools, setting up Flannel networking, and joining nodes to test deployment.

Learn how pods serve as the atomic unit of deployment in Kubernetes, hosting one or more containers, with pod networking, IP addresses, lifecycle states, and scaling via multiple pods.

Deploy a nginx pod via a port manifest, expose it with a nodeport service, assign external and node IPs, access the web page externally and internally, then clean up.

Understand how the replication controller maintains a specified number of pods using labels and selectors to manage ports, enabling high availability, load balancing, and scaling.

Explore replica sets in Kubernetes, learn how labels and selectors (equality-based and set by selectors) tie pods to replicas, and deploy, scale, and test fault tolerance using a manifest.

Learn how Kubernetes deployments enable updates, rollbacks, and scaling of app instances using strategies like recreate, rolling update, canary, and blue-green deployments, with manifest-driven configuration and testing.