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I use https://k3s.io and it's super simple. You will have a basic cluster running in less than 5 minutes. There's even an unofficial installer for it (https://github.com/alexellis/k3sup) which makes the bootstrapping even easier.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Give a try to rke2 https://docs.rke2.io/ We are using it on EC2 and it is really good. If you want something quick, I think kubeadm is the way to go
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flintlock
Lock, Stock, and Two Smoking MicroVMs. Create and manage the lifecycle of MicroVMs backed by containerd.
Have a look at Liquid Metal using microvms on baremetal and using flintlock. It's pretty frigging awesome. :)
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You can experiment with Talos Linux https://www.talos.dev/
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I use https://k3s.io and it's super simple. You will have a basic cluster running in less than 5 minutes. There's even an unofficial installer for it (https://github.com/alexellis/k3sup) which makes the bootstrapping even easier.
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We went with Kubespray, pretty solid and since we already had Ansible in place it was pretty easy!
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I ended up writing my own, twice actually. Just re-wrote my entire k8s setup for my new homelab. It's published here on gitlab.com. It's not very well documented since it's for personal use but I think it emphasizes how easy it is to setup kubeadm and why there is little reason to make it more complicated than it needs to be.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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At my personal testlab/cluster, i use k3s deployed with my ansible role
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There is another very good ansible role for k3s, actually better than mine
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hetzner-k3s
The easiest and fastest way to create and manage Kubernetes clusters in Hetzner Cloud using the lightweight distribution k3s by Rancher.
If you somehow use hetzner, this one is great too for k3s