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Things that go bump in the night: Kafka operational issues and how to survive them

Factor House

01:01:34

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Most Kafka content focuses on how things should work. This session is about what actually happens in production.

Chad Harris, Solutions Architect at Factor House, draws on years of experience operating Kafka across organisations from early-stage startups to some of Silicon Valley's largest companies. In this session, Chad walks through real-world operational failures, from subtle misconfigurations to full-scale incidents, and the debugging workflows that actually help when the system stops behaving the way you expect.

You will come away with a clearer picture of which signals matter, how to approach Kafka observability in practice, and mitigation strategies you can apply immediately.

What the session covers

  • Common Kafka failure patterns and how they manifest in production
  • Debugging workflows for when logs are not telling the whole story
  • Observability signals that matter, and ones that do not
  • Practical mitigation strategies drawn from real incidents

This is a technical session aimed at platform engineers, data engineers, and anyone responsible for running Kafka in production. War stories included.

Speakers

Karel Sague

Karel Sague

Staff Software Engineer, Factor House

Karel Sague is a Staff Software Engineer at Factor House, where he works on real-time data streaming infrastructure spanning Kafka, Flink, and Iceberg. Before joining Factor House, he spent 8 years as a Software Engineer at Square (Block Inc.), and prior to that worked as a consultant at ThoughtWorks. Across his career he has built and operated large-scale data platforms in financial services and consulting, with deep experience in event-driven architecture, streaming ingestion, and open table formats.

Hugh Evans

Hugh Evans

Developer Advocate, Aiven

Hugh Evans is a Senior Developer Advocate at Aiven, where he works with the Kafka and ClickHouse communities. He also organises AI Signals, a community focused on real-world applications of AI.

Things that go bump in the night: Kafka operational issues and how to survive them

01:01:34

Watch