Consumer lag is usually the first place engineers look when something’s wrong downstream in Apache Kafka, but diagnosing it means going deeper than a single aggregate number. Chad Harris walks through consumer group monitoring in Kpow, from group stability over time down to partition-level lag and topology.
Speaker
Solutions Architect, Factor House
Chad Harris is a Solutions Architect at Factor House, bringing 18 years of experience across software engineering, application architecture, and engineering leadership. He has deep hands-on expertise with Apache Kafka, high-volume transactional systems, and PCI-compliant architectures, most recently as an Engineering Leader at Block (formerly Square).
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