Month: 2025-11 — Focused on metrics accuracy and reliability in Kubernetes API server telemetry. Key achievements delivered include correcting the apiserver_watch_events_sizes metric by introducing a new bytes-written metric recorder and updating the WatchServer to count both bytes and event sizes, with tests updated to validate the metric behavior. This work also fixed a caching regression that previously caused the metric value to be counted only once, restoring accurate reporting at scale. Overall, the effort enhances observability, supports capacity planning, and reduces the risk of misinterpreted telemetry in large clusters. Technologies demonstrated include Go instrumentation, metrics design, test-driven validation, and integration with Kubernetes observability stacks. Business value: more accurate monitoring enables better resource planning, precise alerting, and faster MTTR for API server event traffic issues.