RIasC Ansible Playbooks

• Based on: https://github.com/k3s-io/k3s-ansible

Introduction

This repository container a set of Ansible roles and playbooks to provision RIasC nodes.

Specifically it contains roles for provisioning a k3s Kubernetes cluster on a fleet of Raspberry Pi nodes. In addition it prepares the nodes by installing the Wireguard VPN kernel module and a devicetree overlay required for GPS-based time-synchronization. At last it installs the RIasC Helm chart.

These playbooks are usually used by the riasc-update.sh script from the riasc-provisioning repo.

Currently, the repo also contains the Ansible inventory for the RIasC deployment used in the ERIGrid 2.0 project. However, it its planned to move this inventory to a separate repo.

Documentation

For further documentation, please consult: https://riasc.eu/docs/

K3s Ansible Playbook

Build a Kubernetes cluster using Ansible with k3s. The goal is easily install a Kubernetes cluster on machines running:

• Debian
• Ubuntu
• CentOS

on processor architecture:

• x64
• arm64
• armhf

System requirements

Deployment environment must have Ansible 2.4.0+ Master and nodes must have passwordless SSH access

Usage

First create a new directory based on the sample directory within the inventory directory:

cp -R inventory/sample inventory/my-cluster

Second, edit inventory/my-cluster/hosts.ini to match the system information gathered above. For example:

[master]
192.16.35.12

[node]
192.16.35.[10:11]

[cluster:children]
master
node

If needed, you can also edit inventory/my-cluster/group_vars/all.yml to match your environment.

Start provisioning of the cluster using the following command:

ansible-playbook site.yml -i inventory/my-cluster/hosts.ini

Kubeconfig

To get access to your Kubernetes cluster just

scp debian@master_ip:~/.kube/config ~/.kube/config

Credits

• Vincent Rabah
• Steffen Vogel 📧, Institute for Automation of Complex Power Systems, RWTH Aachen University

Funding acknowledgement

The development of RIasC has been supported by the ERIGrid 2.0 project of the H2020 Programme under Grant Agreement No. 870620