kind VS k3sup

Have you tried https://kind.sigs.k8s.io/? If so, how does it compare to k3s for testing?

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.

# Maintainer: Talha Altinel pkgname=k3sup pkgver=0.13.0 pkgrel=1 pkgdesc='A tool to bootstrap K3s over SSH in < 60s' arch=('x86_64') url='https://github.com/alexellis/k3sup' license=('MIT') depends=('glibc' 'openssh') makedepends=('git' 'go>=1.20') source=("${pkgname}-${pkgver}.tar.gz::https://github.com/alexellis/k3sup/archive/${pkgver}.tar.gz") sha256sums=('24939844ac6de581eb05ef6425c89c32b2d0e22800f1344c19b2164eec846c92') _commit=('1d2e443ea56a355cc6bd0a14a8f8a2661a72f2e8') build() { cd "$pkgname-$pkgver" export CGO_CPPFLAGS="${CPPFLAGS}" export CGO_CFLAGS="${CFLAGS}" export CGO_CXXFLAGS="${CXXFLAGS}" export CGO_LDFLAGS="${LDFLAGS}" export GOFLAGS="-buildmode=pie -trimpath -mod=readonly -modcacherw" go build \ -ldflags "-s -w -X github.com/alexellis/k3sup/cmd.Version=$pkgver -X github.com/alexellis/k3sup/cmd.GitCommit=$_commit" \ -o k3sup \ . for shell in bash fish zsh; do ./k3sup completion "$shell" > "$shell-completion" done } package() { cd "$pkgname-$pkgver" install -Dm755 -t "$pkgdir/usr/bin" k3sup mkdir -p "${pkgdir}/usr/share/bash-completion/completions/" mkdir -p "${pkgdir}/usr/share/zsh/site-functions/" mkdir -p "${pkgdir}/usr/share/fish/vendor_completions.d/" install -Dm644 bash-completion "$pkgdir/usr/share/bash-completion/completions/k3sup" install -Dm644 fish-completion "$pkgdir/usr/share/fish/vendor_completions.d/k3sup.fish" install -Dm644 zsh-completion "$pkgdir/usr/share/zsh/site-functions/_k3sup" install -Dm644 -t "$pkgdir/usr/share/licenses/$pkgname" LICENSE }

I recommend learning docker first, then pick a vps host from vpsbenchmarks, then use k3sup to deploy a kubernetes cluster on that, then follow a getting-started kubernetes tutorial from there. You'll also want to buy a domain name with tld-list and then provision a TLS certificate with cert-manager and letsencrypt (skip steps 1-4 because Google Cloud is overpriced).

I just installed k3s yesterday using k3sup on 6 VMs (3 masters, 3 workers) each with 2GB RAM ( limited by the actual RAM on hardware, for now ) with Ubuntu 22.04 as the base OS.

k3s installed with k3sup, longhorn for storage, kube-vip for API VIP, and MetalLB for service load balancer using local subnet, and of course Rancher.

My applause to Alex Ellis for writing a clear, direct call to arms!

Their work is super useful and interesting. I've added them to my list of sponsorships: https://github.com/sponsors/alexellis

Yeah, this is the answer, but I would use this with K3S: https://github.com/alexellis/k3sup

$ curl -sLS https://get.k3sup.dev | sh x86_64 Downloading package https://github.com/alexellis/k3sup/releases/download/0.12.12/k3sup as /home/ec2-user/k3sup Download complete. ============================================================ The script was run as a user who is unable to write to /usr/local/bin. To complete the installation the following commands may need to be run manually. ============================================================ sudo cp k3sup /usr/local/bin/k3sup ================================================================ alexellis's work on k3sup needs your support https://github.com/sponsors/alexellis ================================================================ No nos devolverá nada, pero podremos correr lo siguiente para saber si k3sup efectivamente se instalo: