2026-06-08 –, Kesselhaus
KAFKA-6020 has been open for 7 years. This talk demos broker-side filtering for Kafka with sub-millisecond latency (p99 < 25ms). Live demo with working code shows how it reduces network costs, simplifies consumers, and enables new use cases. Real-world validation from financial services and logistics deployments.
Watch a live implementation of broker-side filtering that solves a 7-year-old debate. You'll see working code, performance benchmarks, and real production deployments from financial services and logistics. Leave with a Kafka-compatible solution you can deploy immediately on StreamNative's platform with sub-millisecond filtering that cuts network traffic by 60-80%. Perfect for real-time analytics and compliance monitoring.
David Kjerrumgaard is a Developer Advocate at StreamNative and a committer on the Apache Pulsar project. He is recognized for his expertise in real-time data streaming, messaging systems, and big data technologies. As author of Pulsar in Action and co-author of Practical Hive, he has established himself as a leading voice in the streaming data ecosystem.
An accomplished international speaker, David presents at conferences worldwide on big data, streaming technologies, and agentic AI. His technical contributions extend beyond the stage—he actively contributes to Apache NiFi and maintains his committer status on Apache Pulsar, directly advancing these open-source platforms.
I am a Spaniard customer-oriented engineer living in Switzerland. Working on StreamNative since 2022 as Solutions Engineer.
I have 20 years of experience working at different levels, from C++ developer under Linux to security consultant.
In a previous life, I did a Master's in Neuroscience.