Local Path Provisioner
k3s installs itself with "Local Path Provisioner", a simple controller whose job it is to create local volumes on each k3s node. If you only have one node, or you just want something simple to start learning with, then
local-path is ideal, since it requires no further setup.
Here's how you know you've got the StorageClass:
root@shredder:~# kubectl get sc NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE local-path (default) rancher.io/local-path Delete WaitForFirstConsumer false 60m root@shredder:~#
A few things you should know:
- This is not network storage. The volume you create will forever be found to the k3s node its pod is executed on. If you later take that node down for maintenance, the pods will not be able to start on other nodes, because they won't find their volumes.
- The default path for the volumes is
/opt/local-path-provisioner, although this can be changed by editing a ConfigMap. Make sure you have enough disk space! 1
- There's no support for resizing a volume. If you create a volume and later work out that it's too small, you'll have to destroy it and recreate it. (More sophisticated provisioners like rook-ceph and topolvm allow for dynamic resizing of volumes)
When to use it
- When you don't care much about your storage. This seems backwards, but sometimes you need large amounts of storage for relatively ephemeral reasons, like batch processing, or log aggregation. You may decide the convenience of using Local Path Provisioner for quick, hard-drive-speed storage outweighs the minor hassle of loosing your metrics data if you were to have a node outage.
- When TopoLVM is not a viable option, and you'd rather use available disk space on your existing, formatted filesystems
When not to use it
- When you have any form of redundancy requirement on your persisted data.
- When you're not using k3s.
- You may one day want to resize your volumes.
In summary, Local Path Provisioner is fine if you have very specifically sized workloads and you don't care about node redundancy.
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