Figure an EFK helm chart in a kubernetes cluster.

Fluentbit is configured to provide cpu and mem informations, it's very nice.

Data come from all nodes, but without any per-node distinguish info. So the graph gives an average for all machines:

Is there a way at any level to distinct nodes from each other?

At the fluentbit level, I've tried to use kubernetes filter without success, because it work only with tail filter, neither cpu nor mem.

Any argument appreciated (even "change your stack", or "go to prometheus")