chore: update docs/rancher.md [20260514-2029]

This commit is contained in:
github-actions[bot]
2026-05-14 20:31:35 +00:00
committed by GitHub
parent 51af50ea9b
commit 92f61975ee

View File

@@ -84,6 +84,7 @@
- [github.com/rancherfederal/rke2-aws-tf](https://github.com/rancherfederal/rke2-aws-tf) This repository is intended to clearly demonstrate one method of deploying rke2 in a highly available, resilient, scalable, and simple method on AWS
## K3S
- [RKE2 Standalone Disaster Recovery Guide](https://support.tools/post/rke2-standalone-disaster-recovery/) - *(Related to kubernetes-backup-migrations topic)*
- [**k3s**](https://k3s.io/) Basic kubernetes with automated installer. Lightweight Kubernetes Distribution.
- [K8s vs k3s](https://www.civo.com/blog/k8s-vs-k3s) "K3s is designed to be a single binary of less than 40MB that completely implements the Kubernetes API. In order to achieve this, they removed a lot of extra drivers that didn't need to be part of the core and are easily replaced with add-ons. K3s is a fully CNCF (Cloud Native Computing Foundation) [certified Kubernetes](https://www.cncf.io/certification/software-conformance/) offering. This means that you can write your YAML to operate against a regular "full-fat" Kubernetes and they'll also apply against a k3s cluster. Due to its low resource requirements, it's possible to run a cluster on anything from 512MB of RAM machines upwards. This means that we can allow pods to run on the master, as well as nodes. And of course, because it's a tiny binary, it means we can install it in a fraction of the time it takes to launch a regular Kubernetes cluster! We generally achieve sub-two minutes to launch a k3s cluster with a handful of nodes, meaning you can be deploying apps to learn/test at the drop of a hat."