flowlogs2metrics ( https://github.com/netobserv/flowlogs2metrics ) is somewhat overlapping with our current goflow-kube component. We feel it could have several advantages over the current goflow-kube, in particular its pipeline model allows more flexibility in the deployment architecture we want to propose.

This becomes more important as we are bringing Kafka, and eBPF agents, into the loop.

The purpose of this epic is to adapt flowlogs2metrics to fit into our architecture, and merge any goflow-kube features that would be missing in flowlogs2metrics