Session
Design Patterns and Benchmarking Insights for High-Performance Apache Kafka Systems
Apache Kafka underpins many modern event-driven systems, yet selecting the right architectural patterns and benchmarking them rigorously remains challenging. This session distills practical design patterns and performance insights from an analysis of 40+ peer-reviewed Kafka deployments, covering patterns such as CQRS, exactly-once pipelines, change-data capture (CDC), log compaction, event replay, and tiered storage. It also examines real-world benchmarking approaches, including TPCx-Kafka and custom workloads, highlighting common reproducibility pitfalls and offering actionable guidance for designing scalable, reliable Kafka architectures. Based on an IEEE-accepted conference paper presented at ICICyTA 2025.
Muzeeb Mohammad
Senior Manager of Software Engineering
Newark, Delaware, United States
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