Architecture Digest

May 22, 2020 · Operations

A Step‑by‑Step Debugging Journey of Data Drop After a Feature Release

The article recounts a detailed troubleshooting process—including data verification, code review, DBA assistance, local debugging, environment comparison, logging, packet capture, service restarts, async‑to‑sync changes, load testing, and Kafka partition tuning—that ultimately identified a Kafka partition bottleneck as the cause of a sudden data‑volume decline after a new feature went live.