This guide presumes you are comfortable with docker containerization and explains how to get your images spinning on a k8s environment.

1. Kubectl
2. Minikube
3. Virtualbox - This will supply the hypervisor to minikube to create vm on. Alternatives

Kubectl is a Kubernetes command-line tool that allows running commands against Kubernetes clusters. You can use kubectl to deploy applications, inspect and manage cluster resources, and view logs.

Minikube is a tool that makes it easy to run Kubernetes locally. Minikube runs a single-node Kubernetes cluster inside a Virtual Machine (VM) on a PC for users looking to try out Kubernetes or develop with it day-to-day. For more demanding usage, consinder running kubernetes on bare metal.

1. # pacman -S kubectl
2. # pacman -S minikube
3. # pacman -S virtualbox

• To launch a minikube cluster execute $ minicube start
• To launch with custom hypervisor $ minikube start --driver=docker
• To set default hypervisor $ minikube config set driver docker. Virtualbox is the default in a fresh setup
• To delete cluster $ minikube delete
• To open the k8s dashboard, run $ minikube dashboard

Pods are the building blocks of a k8s system. Sort of like images to docker, well, or atoms to an element. A pod hosts and manages one or multiple containers.

Replication controllers manage behaviour of pods in terms of creating, deleting, healing, etc

A deployment is a special ( on steroids ) replication controller that allows updates and rollbacks of deployed pods more systematically.

A service exposes a pod, Replication controllers or deploymenent to the external world or to a different node within the cluster. Services have a static IP and communicate to pods using Labels.

1. Apply the deployment to your cluster kubectl apply -f /path/to/deployment.yml
2. Create a service for the deployment kubectl create -f /path/to/service.yml
3. Run the application by visiting https://<cluster-ip>:<nodePort>