kind VS minikube

To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:

Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration.

Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood.

I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.

Features compared to https://kind.sigs.k8s.io/

Kind allows you to run a Kubernetes cluster inside Docker. This is incredibly useful for developing Helm charts, Operators, or even just testing out different k8s features in a safe way.

Check out KinD

If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.

You can also use k3s; it's hella easy to get started with and it works great.

We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.

yes I know there is lens, but it does not allow me to see logs of multiple pods at same time and what is even more important it is not friendly for ephemeral clusters - in my case with help of kind I am recreating whole cluster each time from scratch

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

Install Minicube - a tool that allows us to spin up a Kubernetes cluster in a local machine Run minikube start to start your Kubernetes cluster Run minikube dashboard to spin up a web-based user interface that allows you to manage your Kubernetes cluster

If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.

You can also use k3s; it's hella easy to get started with and it works great.

$ minikube addons enable dashboard 💡 dashboard is an addon maintained by Kubernetes. For any concerns contact minikube on GitHub. You can view the list of minikube maintainers at: https://github.com/kubernetes/minikube/blob/master/OWNERS ▪ Using image docker.io/kubernetesui/dashboard:v2.7.0 ▪ Using image docker.io/kubernetesui/metrics-scraper:v1.0.8 🌟 The 'dashboard' addon is enabled $ minikube addons enable metrics-server 💡 metrics-server is an addon maintained by Kubernetes. For any concerns contact minikube on GitHub. You can view the list of minikube maintainers at: https://github.com/kubernetes/minikube/blob/master/OWNERS ▪ Using image registry.k8s.io/metrics-server/metrics-server:v0.6.4 🌟 The 'metrics-server' addon is enabled $ minikube addons enable ingress 💡 ingress is an addon maintained by Kubernetes. For any concerns contact minikube on GitHub. You can view the list of minikube maintainers at: https://github.com/kubernetes/minikube/blob/master/OWNERS 💡 After the addon is enabled, please run "minikube tunnel" and your ingress resources would be available at "127.0.0.1" ▪ Using image registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20230407 ▪ Using image registry.k8s.io/ingress-nginx/controller:v1.8.1 ▪ Using image registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20230407 🔎 Verifying ingress addon... 🌟 The 'ingress' addon is enabled

A Kubernetes distribution: You need to install a Kubernetes distribution to create the Kubernetes cluster and other necessary resources, such as deployments and services. This tutorial uses kind (v0.18.0), but you can use any other Kubernetes distribution, including minikube or K3s.

3.Minikube ( https://minikube.sigs.k8s.io ):

CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES7523fd2c20c7 gcr.io/google\_containers/k8s-dns-sidecar-amd64 "/sidecar --v=2 --..." 18 hours ago Up 18 hours k8s\_sidecar\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_09bd438011406 gcr.io/google\_containers/k8s-dns-dnsmasq-nanny-amd64 "/dnsmasq-nanny -v..." 18 hours ago Up 18 hours k8s\_dnsmasq\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_05c35e00a5a27 gcr.io/google\_containers/k8s-dns-kube-dns-amd64 "/kube-dns --domai..." 18 hours ago Up 18 hours k8s\_kubedns\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_077ef463642b7 gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_039f618666205 gcr.io/google\_containers/kubernetes-dashboard-amd64 "/dashboard --inse..." 18 hours ago Up 18 hours k8s\_kubernetes-dashboard\_kubernetes-dashboard-vgpjl\_kube-system\_c1176a44-e4d6-11e7-bccf-0021ccbf0996\_0023b7b554a8c gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_kubernetes-dashboard-vgpjl\_kube-system\_c1176a44-e4d6-11e7-bccf-0021ccbf0996\_01c3bdb7bdeb1 gcr.io/google-containers/kube-addon-manager "/opt/kube-addons.sh" 18 hours ago Up 18 hours k8s\_kube-addon-manager\_kube-addon-manager-tpad\_kube-system\_7b19c3ba446df5355649563d32723e4f\_08a00feefa754 gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_kube-addon-manager-tpad\_kube-system\_7b19c3ba446df5355649563d32723e4f\_0b657eab5f6f5 gcr.io/k8s-minikube/storage-provisioner "/storage-provisioner" 18 hours ago Up 18 hours k8s\_storage-provisioner\_storage-provisioner\_kube-system\_c0a8b187-e4d6-11e7-bccf-0021ccbf0996\_067be5cc1dd0d gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_storage-provisioner\_kube-system\_c0a8b187-e4d6-11e7-bccf-0021ccbf0996\_0 I just did the Kubernetes minikube tutorial at https://github.com/kubernetes/minikube, and I cannot stop or remove these containers, they always get recreated.

https://github.com/kubernetes/minikube for local learning that's lightweight.

Haven’t dabbled with minikube yet, but there’s a whole thread about this error here: https://github.com/kubernetes/minikube/issues/9798