Cluster

A cluster is a set of nodes that run containerized applications managed by Kubernetes. It provides the necessary infrastructure to deploy, manage, and scale applications in a containerized environment.

Create a Kubernetes Cluster

Create a Kubernetes Cluster using minikube.

minikube start

The provided cluster will use around 2 GB RAM of memory and 2 CPUs you can see this in the output from the minikube start command.

Creating docker container (CPUs=2, Memory=2200MB)

Create a Kubernetes Cluster with Resources

The start command support different options for Cluster creation.

minikube start --cpus=4 \
    --memory=4400 \
    --kubernetes-version=v1.30.0

Kubernetes Node Status Check

Check on the active cluster using kubectl CLI with the get node subcommands.

kubectl get node

Cluster Info Retrieval

Furter commands will run against the active Kubernetes namespace.

kubectl cluster-info
Kubernetes control plane is running at https://127.0.0.1:32769
CoreDNS is running at https://127.0.0.1:32769/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy

To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.

Switch Kubernetes Context

A Kubernetes context is a configuration that defines the cluster, user and namespace that kubectl will use when executing commands.

kubectx minikube

Inspect Kubernetes Resources

You can use k9s to inspect into active Cluster resources.

Reuse Minikube's Docker

Reuse the Docker daemon from Minikube using:

eval $(minikube docker-env)