Preamble: I worked on a support issue involving intermittent failures in a Kubernetes‑based microservice responsible for processing video metadata from IP devices. To diagnose the issue, I relied heavily on log analysis. I used our internal simulators to generate controlled traffic and then analyzed the resulting logs using Typescript‑based debugging tools and custom data‑visualization scripts. I correlated timestamps across multiple pods, compared error traces, and validated the behavior against Kubernetes service logs. Pain Point Question: When you view this as an R&D Engineer, is there any "unnecessary" action that does provide tangible value add to this process?