Giter VIP home page Giter VIP logo

k0s-ansible's Introduction

Supported k0s version Ansible Lint status GitHub commits since latest release (by date)

k0s Ansible Playbook

Create a Kubernetes Cluster using Ansible and vanilla upstream Kubernetes distro k0s

This playbook is largely based on the extensive and outstanding work of the contributors of k3s-ansible and, of course, kubespray.

Included Playbooks

site.yml:

$ ansible-playbook site.yml -i inventory/multipass/inventory.yml

Your inventory must include at least one initial_controller and one worker node. To get a highly available control plane more controller nodes can be added. The first initial controller creates tokens that get written to the nodes when the playbook is executed.

reset.yml:

$ ansible-playbook reset.yml -i inventory/multipass/inventory.yml

Deletes k0s all its files, directories and services from all hosts.

Step by step guide

You can find a user guide on how to use this playbook in the k0s documentation.

Example with multipass

For the quick creation of virtual machines, I have added a script that provisions a bunch of nodes via multipass and another small Python script that generates an Ansible inventory from the created instances.

Steps:

Create 5 instances with multipass and import your ssh public key with cloud-init (create_instances.sh):

$ ./tools/multipass_create_instances.sh
Create cloud-init to import ssh key...
[1/5] Creating instance k0s-1 with multipass...
Launched: k0s-1
...
Name                    State             IPv4             Image
k0s-1                   Running           192.168.64.32    Ubuntu 20.04 LTS
k0s-2                   Running           192.168.64.33    Ubuntu 20.04 LTS
k0s-3                   Running           192.168.64.56    Ubuntu 20.04 LTS
k0s-4                   Running           192.168.64.57    Ubuntu 20.04 LTS
k0s-5                   Running           192.168.64.58    Ubuntu 20.04 LTS

Generate your Ansible inventory:

$ cp -rfp inventory/sample inventory/multipass
$ ./tools/multipass_generate_inventory.py
Designate first instance as control plane
Created Ansible Inventory at: /Users/dev/k0s-ansible/tools/inventory.yml
$ cp tools/inventory.yml inventory/multipass/inventory.yml

Test the ssh connection to all instances in your inventory.yml:

$ ansible -i inventory/multipass/inventory.yml -m ping all
k0s-4 | SUCCESS => {
    "ansible_facts": {
        "discovered_interpreter_python": "/usr/bin/python3"
    },
    "changed": false,
    "ping": "pong"
}
k0s-1 | SUCCESS => {
...

Create your cluster:

$ ansible-playbook site.yml -i inventory/multipass/inventory.yml
...
TASK [k0s/initial_controller : print kubeconfig command] *******************************************************
Friday 22 January 2021  15:32:44 +0100 (0:00:00.247)       0:04:25.177 ********
ok: [k0s-1] => {
    "msg": "To use Cluster: export KUBECONFIG=/Users/dev/k0s-ansible/inventory/multipass/artifacts/k0s-kubeconfig.yml"
}
...
PLAY RECAP *****************************************************************************************************
...
Friday 22 January 2021  15:32:58 +0100 (0:00:00.575)       0:04:39.234 ********
===============================================================================
download : Download k0s binary k0s-v0.10.0-beta1-amd64 ------------------------------------------------ 225.86s
prereq : Install apt packages -------------------------------------------------------------------------- 17.30s
k0s/initial_controller : Wait for k8s apiserver -------------------------------------------------------- 15.34s
k0s/controller : Wait for k8s apiserver ----------------------------------------------------------------- 3.36s
Gathering Facts ----------------------------------------------------------------------------------------- 1.35s
prereq : Create k0s Directories ------------------------------------------------------------------------- 0.86s
Gathering Facts ----------------------------------------------------------------------------------------- 0.84s
k0s/worker : Create k0s worker service with install command --------------------------------------------- 0.80s
Gathering Facts ----------------------------------------------------------------------------------------- 0.79s
k0s/initial_controller : Create k0s initial controller service with install command ------------------------- 0.76s
k0s/initial_controller : Enable and check k0s service --------------------------------------------------- 0.74s
k0s/controller : Create k0s controller service with install command ----------------------------------------- 0.72s
prereq : Write the k0s config file ---------------------------------------------------------------------- 0.69s
Gathering Facts ----------------------------------------------------------------------------------------- 0.68s
Gathering Facts ----------------------------------------------------------------------------------------- 0.65s
k0s/worker : Enable and check k0s service --------------------------------------------------------------- 0.58s
k0s/controller : Enable and check k0s service ----------------------------------------------------------- 0.53s
k0s/worker : Write the k0s token file on worker --------------------------------------------------------- 0.48s
k0s/controller : Write the k0s token file on controller ------------------------------------------------- 0.44s
k0s/initial_controller : Set controller IP in kubeconfig ------------------------------------------------ 0.32s

Connect to your new Kubernetes cluster. The config is ready to use in the inventory/artifacts directory:

$ export KUBECONFIG=/Users/dev/k0s-ansible/inventory/multipass/artifacts/k0s-kubeconfig.yml
$ kubectl get nodes -o wide
NAME    STATUS   ROLES    AGE   VERSION        INTERNAL-IP     EXTERNAL-IP   OS-IMAGE             KERNEL-VERSION     CONTAINER-RUNTIME
k0s-4   Ready    <none>   17m   v1.20.2-k0s1   192.168.64.57   <none>        Ubuntu 20.04.1 LTS   5.4.0-62-generic   containerd://1.4.3
k0s-5   Ready    <none>   17m   v1.20.2-k0s1   192.168.64.58   <none>        Ubuntu 20.04.1 LTS   5.4.0-62-generic   containerd://1.4.3
$ kubectl run hello-k0s --image=quay.io/prometheus/busybox --rm -it --restart=Never --command -- sh -c "echo hello k0s"
hello k0s
pod "hello-k0s" deleted

Want to throw away your cluster and start all over?

$ multipass delete $(multipass list --format csv | grep 'k0s' | cut -d',' -f1)
$ multipass purge

Example with virt-lightning

Virt-lightning (aliased as vl) is tool for fast deploy of virtual machines using Libvirt as backend. Script provided to deploy number of VM and generate Ansible inventory. If some machines are running, they are not changed at the script run. 5 VMs are created by default, pass number as argument if needed.

$ tools/vl_create_instances_inventory.py

This command will create VMs and generate inventory file in tools directory.

How to cleanup the cluster

If you have only k0s VMs, just cleanup everything:

$ vl down

Test with Vagrant

It's assumed that vagrant is installed, if not, download and install it from their website

After that consult the readme

How to Contribute

I welcome issues to and pull requests against this repository!

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.