Best of Apache Flink — May 2025

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   Article

   Materialized View·1y

   Kafka: The End of the Beginning

   Apache Kafka has dominated streaming data for over a decade, but innovation has stagnated while batch processing has evolved rapidly. The streaming ecosystem faces challenges with slow growth, long sales cycles, and lack of new ideas. While Kafka's protocol has become the de facto standard, its architecture shows limitations for modern cloud-native requirements. New solutions like S2 are emerging with fresh approaches, and the next decade could see a transition similar to how batch processing moved beyond Hadoop, potentially ushering in a truly cloud-native streaming era.

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2. 2
   Article

   Confluent Blog·1y

   How to build a multi-agent orchestrator using Flink and Kafka

   The post explores the creation of multi-agent systems using an orchestrator pattern, with Apache Flink and Kafka as key technologies. It highlights the necessity of dividing complex tasks among specialized AI agents for better collaboration and problem-solving. The orchestrator facilitates efficient message routing and real-time decision-making by interpreting and distributing tasks dynamically. The combination of Flink's real-time processing and Kafka's event-driven messaging creates a scalable, adaptable system without rigid dependencies.

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