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Stream Processing Smackdown: Kafka Streams vs. Apache Flink by Viktor Gamov

Attention, Data Streaming Engineers! In a world where speed is everything, choosing the proper stream processing framework is crucial. Want to supercharge your apps with real-time data processing? Should you opt for the streamlined Kafka Streams, a lightweight library for building streaming applications, or the feature-rich Apache Flink, a powerful and flexible stream processing framework? Viktor Gamov, a principal developer advocate at Confluent with extensive experience in stream processing, will walk you through the nuts and bolts of these two leading technologies. Through live coding and practical examples, we'll cover: • Mastering State Management: Discover how each framework handles stateful computations and pick up optimization tips. • Fault Tolerance in Practice: See how Kafka Streams and Flink keep your applications running smoothly, even when things go wrong. • Scalability Showdown: Find out which tool scales better under heavy loads and complex tasks. • Integration Insights: Learn how to seamlessly fit these frameworks into your existing setup to boost productivity. We'll explore scenarios showcasing each option’s strengths and weaknesses, giving you the tools to choose the best fit for your next project. Whether you're into microservices, event-driven systems, or big data streaming, this talk is packed with practical knowledge that you can immediately apply to your projects, improving performance and efficiency.