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Overview
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Discover how MarketAxess transformed their trading infrastructure from legacy systems to a modern, streaming-first platform in this 46-minute conference talk. Learn from Andy Steinmann, Software Engineering Manager at MarketAxess, as he details their evolution from a monolithic, socket-driven architecture to Apache Kafka and ultimately Confluent Cloud to handle high-volume trade data across on-premises systems and cloud environments. Explore the technical challenges of modernizing mission-critical financial infrastructure where milliseconds matter, including how the team implemented iterative "2.0" patterns and dark deployments to avoid disrupting live trading operations. Understand the operational benefits of migrating from self-managed Apache Kafka to MSK and finally to Confluent Cloud, which eliminated cluster outages and operational bottlenecks during peak trading windows. Gain insights into scaling real-time trade flows, implementing hybrid connectivity solutions, establishing governance frameworks, and performance tuning for market-data workloads. The discussion covers practical modernization strategies for financial technology teams, the importance of expert partnerships during infrastructure transitions, and how streaming-first architectures enable institutional trading platforms to scale reliably in demanding market conditions.
Syllabus
– Data Streaming Goodness
– Beyond the Stream
– Quick Bytes
– Joseph’s Top Takeaways
Taught by
Confluent