Accurate eBPF Flow Log Attribution

Engineers addressed the problem of inaccurately attributing network flow logs to specific workloads in their cloud environment. Their initial system, relying on IP address change events, suffered from misattribution due to delays in event propagation. To resolve this, they implemented a new method using eBPF on workload instances to directly associate local IP addresses with workload identities, sending these logs to a centralized FlowCollector. This FlowCollector then uses the local IP and timestamp information to deduce and subsequently attribute remote IP addresses by tracking IP ownership over time. The improved system, which handles regional differences and non-workload IPs, significantly enhances the reliability of network insights for dependency analysis and troubleshooting