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.
DebuggingKafkaProduction
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