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72 lines
1.7 KiB
Markdown
72 lines
1.7 KiB
Markdown
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# Multiple standalone K3s nodes
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This is an example of when you might want to configure multiple standalone
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k3s nodes simultaneously. For this we will assume a hypothetical situation
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where we are configuring 25 Raspberry Pis to deploy to our shop floors.
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Each Rasperry Pi will be configured as a standalone IoT device hosting an
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application that will push data to head office.
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## Architecture
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```text
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+-------------+
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| Node-01 +-+
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+--+----------+ +-+
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+--+---------+ +-+
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+--+--------+ |
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+----------+
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```
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## Configuration
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Below is our example inventory of 200 nodes (Truncated):
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```yaml
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---
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k3s_workers:
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hosts:
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kube-0:
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ansible_user: ansible
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ansible_host: 10.10.9.2
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ansible_python_interpreter: /usr/bin/python3
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kube-1:
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ansible_user: ansible
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ansible_host: 10.10.9.3
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ansible_python_interpreter: /usr/bin/python3
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kube-2:
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ansible_user: ansible
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ansible_host: 10.10.9.4
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ansible_python_interpreter: /usr/bin/python3
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# ..... SNIP .....
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kube-199:
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ansible_user: ansible
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ansible_host: 10.10.9.201
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ansible_python_interpreter: /usr/bin/python3
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kube-200:
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ansible_user: ansible
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ansible_host: 10.10.9.202
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ansible_python_interpreter: /usr/bin/python3
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```
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In our `group_vars/` (or as `vars:` in our playbook), we will need to set the
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`k3s_build_cluster` variable to `false`. This will stop the role from
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attempting to cluster all 200 nodes, instead it will install k3s across each
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node as as 200 standalone servers.
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```yaml
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---
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k3s_build_cluster: false
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```
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