Apache Flink 2.0 worth the wait!

Blog: https://flink.apache.org/2025/03/24/a... | After 2 years, 165 contributors, and 25 FLIPs, Apache Flink™ 2.0 is here and it’s a game-changer! Viktor Gamov (Developer Relations, Confluent) breaks down some key FLIPs (Flink Improvement Proposals) to illustrate how new architecture, better performance, unified API, and AI readiness make this version ideal for the modern era of cloud deployments.

This major update significantly enhances real-time processing with advanced cloud-native, AI-ready capabilities, and efficient asynchronous state access. Materialized tables and adaptive batch execution streamline the management of both stream and batch jobs, offering improvements in performance and efficiency. AI model support is seamlessly integrated, enabling sophisticated applications like fraud detection and personalized recommendations. You can download Flink 2.0 from: https://flink.apache.org

LEARN MORE
► Release blog: https://flink.apache.org/2025/03/24/a...
► Apache Flink: https://flink.apache.org
► Apache Flink integrated with Apache Kafka on Confluent Cloud: https://www.confluent.io/product/flink
► Confluent Developer: https://developer.confluent.io

CHAPTERS
00:00 - Gratuitous Drone Shot
00:20 - The Journey to Flink 2.0
00:35 - Why the Waterfall Analogy?
01:08 - Real-Time Processing: The New Normal
01:16 - Flink 1.x Challenges
01:28 - What Makes Flink 2.0 Special?
01:31 - Introduction to Disaggregated State
02:06 - Improved Performance with Remote State
02:57 - Real World Benchmark Results
03:02 - Materialized Tables: Unified Batch and Stream Processing
03:23 - Adaptive Batch Execution Enhancements
03:50 - AI Models in Stream Processing
04:08 - Real-Time AI Use Cases
04:20 - Changes for Developers
04:49 - Summary and Call to Action

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