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Also worth noting when running your own k8s(or k3s) cluster;

> Running Kubernetes is not free. It is expected that it will take about 0.5 to 0.75 of a single core on an embedded system like a Raspberry Pi just as a baseline. [1]

[1] https://github.com/k3s-io/k3s/issues/2278



Ran into this recently with a RPi 3b K3s cluster. Before I could easily allow running workloads on the master node, but since a recent update that node will just get overloaded until unresponsive. Yay for automated hands off updates I guess :).




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