Stream Processing with Redpanda and Apache Flink

Learn stream processing fundamentals and practical implementation using Redpanda and Apache Flink in this 55-minute technical talk delivered by Redpanda Senior Developer Advocate Dunith Danushka. Explore essential stream processing concepts starting with Flink's stateless operations before diving into advanced topics like state handling, time concepts, stateful aggregations, window processing, and joins. Master critical aspects of fault tolerance, state checkpointing, and event time processing while understanding their significance in stream processing applications. Through hands-on demonstrations, discover how to develop a Flink application in Java, from initial setup to deployment on a Flink cluster, including data ingestion from Kafka topics and application monitoring under various conditions. Gain practical insights from Dunith's decade-plus experience in designing and operating large-scale real-time, event-driven architectures, enabling you to build robust stream processing applications using these powerful tools.