homeserver/roles/PyratLabs.k3s/documentation/configuration/multiple-standalone-k3s-nodes.md
mg 3cc377c1a7 Rolle aktualisiert: k3s (#455)
Co-authored-by: Michael Grote <michael.grote@posteo.de>
Reviewed-on: #455
2023-02-17 12:00:24 +01:00

1.7 KiB

Multiple standalone K3s nodes

This is an example of when you might want to configure multiple standalone k3s nodes simultaneously. For this we will assume a hypothetical situation where we are configuring 25 Raspberry Pis to deploy to our shop floors.

Each Rasperry Pi will be configured as a standalone IoT device hosting an application that will push data to head office.

Architecture

+-------------+
|             |
|   Node-01   +-+
|             | |
+--+----------+ +-+
   |            | |
   +--+---------+ +-+
      |           | |
      +--+--------+ |
         |          |  Node-N
         +----------+

Configuration

Below is our example inventory of 200 nodes (Truncated):

---

k3s_workers:
   hosts:
     kube-0:
       ansible_user: ansible
       ansible_host: 10.10.9.2
       ansible_python_interpreter: /usr/bin/python3
     kube-1:
       ansible_user: ansible
       ansible_host: 10.10.9.3
       ansible_python_interpreter: /usr/bin/python3
     kube-2:
       ansible_user: ansible
       ansible_host: 10.10.9.4
       ansible_python_interpreter: /usr/bin/python3

     # ..... SNIP .....

     kube-199:
       ansible_user: ansible
       ansible_host: 10.10.9.201
       ansible_python_interpreter: /usr/bin/python3
     kube-200:
       ansible_user: ansible
       ansible_host: 10.10.9.202
       ansible_python_interpreter: /usr/bin/python3

In our group_vars/ (or as vars: in our playbook), we will need to set the k3s_build_cluster variable to false. This will stop the role from attempting to cluster all 200 nodes, instead it will install k3s across each node as as 200 standalone servers.

---

k3s_build_cluster: false