hetzner-k3s
kind
hetzner-k3s | kind | |
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45 | 183 | |
1,461 | 12,863 | |
- | 1.6% | |
8.8 | 8.9 | |
18 days ago | 1 day ago | |
Crystal | Go | |
MIT License | Apache License 2.0 |
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hetzner-k3s
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New record: I created a 300-node Kubernetes cluster in 11 minutes
This is with the new version not yet released of my tool https://github.com/vitobotta/hetzner-k3s.
It uses k3s as Kubernetes flavor and Hetzner Cloud as provider. For this test I used extremely high concurrency so the tool hung twice of the process because I was hitting the Hetzner API too hard, so I had to interrupt it again and continue.
Excluding the time it paused/hubg due to the API, I calculated around 11 minutes total for the cluster creation. This includes:
- creating all the resources (cloud instances, firewall, load balancer for the Kubernetes API)
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Best way to deploy K8s to single VPS for dev environment
Try my project Hetzner-K3s, itβs by far the easiest and quickest way to create and manage clusters in Hetzner cloud. https://github.com/vitobotta/hetzner-k3s
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(For Kubernetes users mainly) I need your help/advice with a business idea
Hi all, if you already use Kubernetes in any capacity or are you interested in it, would you mind spending a few minutes voting in a quick poll and hopefully answering a few questions? I would appreciate your help a ton because it would help me make the right decision and hopefully avoid a costly waste of time.
Everything is in a Github discussion at https://github.com/vitobotta/hetzner-k3s/discussions/296. A huge thank you in advance if you can help with this!
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V1.1.5 of Hetzner-k3s (my Kubernetes installer for Hetzner Cloud) is out
The new release introduces more customisation options for cluster/service CIDRs, cluster DNS, updated manifests for CSI/CCM/autoscaler, and a couple of improvement for creating large clusters. Check it out at https://github.com/vitobotta/hetzner-k3s
If you are already familiar with this tool, I'd love to know how it's worked for you so far. :)
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K3s β Lightweight Kubernetes
https://github.com/vitobotta/hetzner-k3s
Kubernetes on Hetzner Cloud the easiest way
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K3s on hetzner virtual hosts
Thereβs this cool GitHub project that helps automate a lot of the process for K3s on Hetzner: https://github.com/vitobotta/hetzner-k3s
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Savings cost for self managed K8s?
If you are willing to leave AWS in order to save a lot of money, you have an option in https://github.com/vitobotta/hetzner-k3s
- hetzner-k3s v.1.1.2 is out with support for the new , powerful but cheap ARM instances! π
- hetzner-k3s v1.1.1 is out! π
kind
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Take a look at traefik, even if you don't use containers
Have you tried https://kind.sigs.k8s.io/? If so, how does it compare to k3s for testing?
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How to distribute workloads using Open Cluster Management
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:
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15 Options To Build A Kubernetes Playground (with Pros and Cons)
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.
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Exploring OpenShift with CRC
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.
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K3s Traefik Ingress - configured for your homelab!
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.
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Mykube - simple cli for single node K8S creatiom
Features compared to https://kind.sigs.k8s.io/
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Hacking in kind (Kubernetes in Docker)
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.
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Choosing the Next Step: Docker Swarm or Kubernetes After Mastering Docker?
Check out KinD
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K3s β Lightweight Kubernetes
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.
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Two approaches to make your APIs more secure
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.
What are some alternatives?
k3d - Little helper to run CNCF's k3s in Docker
minikube - Run Kubernetes locally
rke2
k-andy - Low cost Kubernetes stack for startups, prototypes, and playgrounds on Hetzner Cloud.
lima - Linux virtual machines, with a focus on running containers
ansible-role-k3s - Ansible role for deploying k3s cluster
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
k3sup - bootstrap K3s over SSH in < 60s π
colima - Container runtimes on macOS (and Linux) with minimal setup
terraform-hcloud-kube-hetzner - Optimized and Maintenance-free Kubernetes on Hetzner Cloud in one command!
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...