https://github.com/superseb/multipass-k3s
Use multipass instances to create your k3s cluster
https://github.com/superseb/multipass-k3s
k3s kubernetes rancher
Last synced: 3 months ago
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Use multipass instances to create your k3s cluster
- Host: GitHub
- URL: https://github.com/superseb/multipass-k3s
- Owner: superseb
- Archived: true
- Created: 2019-02-27T18:22:46.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-10-23T16:10:49.000Z (over 1 year ago)
- Last Synced: 2025-02-13T15:12:45.042Z (4 months ago)
- Topics: k3s, kubernetes, rancher
- Language: Shell
- Size: 27.3 KB
- Stars: 63
- Watchers: 7
- Forks: 30
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# k3s cluster on multipass instances
This script will create a configurable amount of instances using [multipass](https://github.com/CanonicalLtd/multipass/), install [k3s](https://github.com/rancher/k3s) server(s) (HA using embedded etcd), and add the agent instances to the cluster.
## Requirements
* multipass (See [multipass: Install Multipass](https://github.com/canonical/multipass#install-multipass))
This is tested on MacOS and Ubuntu Linux 22.04.
## Running it
Clone this repo, and run the script:
```
bash multipass-k3s.sh
```
This will (defaults):
* Generate random name for your cluster (configurable using `NAME`)
* Create init-cloud-init file for server to install the first k3s server with embedded etcd (contains --cluster-init to activate embedded etcd)
* Create one instance for the first server with 2 CPU (`SERVER_CPU_MACHINE`), 10G disk (`SERVER_DISK_MACHINE`) and 1G of memory (`SERVER_MEMORY_MACHINE`) using Ubuntu focal (`IMAGE`)
* Create cloud-init file for server to install additional k3s servers with embedded etcd.
* Create one instance for additional server (configurable using `SERVER_COUNT_MACHINE`)
* Create cloud-init file for agent to join the cluster.
* Create one machine (configurable using `AGENT_COUNT_MACHINE`) with 1 CPU (`AGENT_CPU_MACHINE`), 3G disk (`AGENT_DISK_MACHINE`) and 512M of memory (`AGENT_MEMORY_MACHINE`) using Ubuntu focal (`IMAGE`)
* Wait for the nodes to be joined to the cluster
* Optionally merge the generated kubeconfig with the existing $KUBECONFIG (`MERGE_KUBECONFIG`)
## Quickstart Ubuntu 22.04 droplet
```
sudo snap install multipass
wget https://raw.githubusercontent.com/superseb/multipass-k3s/master/multipass-k3s.sh
bash multipass-k3s.sh
curl -Lo /usr/local/bin/kubectl "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
chmod +x /usr/local/bin/kubectl
kubectl --kubeconfig *-kubeconfig.yaml get nodes
```
## Clean up
The files that are created are:
* `$NAME-agent-cloud-init.yaml`
* `$NAME-cloud-init.yaml`
* `$NAME-kubeconfig.yaml`
* `$NAME-kubeconfig-orig.yaml`
* `$NAME-kubeconfig-backup.yaml` (if `MERGE_KUBECONFIG` is set)
* `$NAME-kubeconfig-merged.yaml` (if `MERGE_KUBECONFIG` is set)
You can clean up the instances by running `multipass delete k3s-server-$NAME-1 --purge` and `multipass delete k3s-agent-$NAME-{1,2,3}` or (**WARNING** this deletes and purges all instances): `multipass delete --all --purge`