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Real-time anomaly detection on streaming data using Random Cut Forest on Apache Flink

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Jul 25, 2025
28:47

Hong Liang Teoh, Senior Software Engineer and Apache Flink committer at Confluent, delivered this session at Flink Forward Asia Singapore 2025. Streaming baselines drift constantly. See how Random Cut Forest (RCF) plus Apache Flink spots anomalies the instant they appear. What you’ll learn • Building an adaptive RCF model that updates on the fly • Handling concept drift, late events and windowing challenges • End-to-end open-source stack: Kafka → Flink → real-time dashboard • Performance benchmarks and tuning tips for production Learn more and stay connected with Flink Forward Asia: Official website: https://asia.flink-forward.org/ LinkedIn: https://www.linkedin.com/company/flink-forward-asia X: https://x.com/flink_4_asia

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Real-time anomaly detection on streaming data using Random Cut Forest on Apache Flink | NatokHD