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Title & Speakers	Event
Event Message Tracking, Fluss in Apache Flink 2.x, & Kafka-to-Iceberg Transformation 2025-10-23
Delta Force: What the Fuss with Fluss in Flink 2.x 2025-10-23 · 19:00 Anton Borisov – Principal Data Engineer @ Fresha The next generation of streaming isn't about faster pipelines, but about smarter connections. DeltaJoin, a new operator in Apache Flink, reimagines stream joins by moving from brute-force state to change-driven computation. Paired with Fluss, Flink's purpose-built storage layer, it enables systems that are real-time, scalable, and cost-efficient. Anton will show how DeltaJoin and Fluss shift streaming architecture from ephemeral flows to durable, queryable state that bridges real-time processing with lakehouse patterns. Drawing on production experience, he'll demonstrate how these innovations reduce join costs, simplify architectures, and unlock new possibilities for real-time analytics. Attendees will leave with a vision of Flink 2.x as the backbone for event-driven systems and modern data platforms. flink deltajoin fluss real-time streaming lakehouse
Message Flow Tracking for Kafka and other Messaging / Streaming Platforms 2025-10-23 · 18:30 Scott Corrigan – VP Technology Services @ meshIQ In this session, see how meshIQ, a comprehensive management and observability platform for messaging and event streaming technologies like Kafka, RabbitMQ and IBM MQ, can be used to track application message flows, help identify bottlenecks and locate "missing" messages. Kafka rabbitmq ibm mq messaging event streaming

The next generation of streaming isn't about faster pipelines, but about smarter connections. DeltaJoin, a new operator in Apache Flink, reimagines stream joins by moving from brute-force state to change-driven computation. Paired with Fluss, Flink's purpose-built storage layer, it enables systems that are real-time, scalable, and cost-efficient. Anton will show how DeltaJoin and Fluss shift streaming architecture from ephemeral flows to durable, queryable state that bridges real-time processing with lakehouse patterns. Drawing on production experience, he'll demonstrate how these innovations reduce join costs, simplify architectures, and unlock new possibilities for real-time analytics. Attendees will leave with a vision of Flink 2.x as the backbone for event-driven systems and modern data platforms.

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