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Complex Event Processing

3 posts
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  • 13 minute read

Flink CEP and Agentic AI: Real-Time Pattern Detection as the Foundation for Autonomous Decisions

AI agents fail in production when they are connected directly to raw event streams. Flink CEP is the missing layer between your data streams and your Agentic AI architecture: it detects meaningful event sequences in real time, reduces hundreds of thousands of raw events to a handful of grounded actionable signals, and makes every autonomous decision deterministic, auditable, and trustworthy enough for enterprise production.
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Flink CEP - When and how to use it
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  • 16 minute read

Complex Event Processing (CEP) with Apache Flink: What It Is and When (Not) to Use It

Complex Event Processing is the most underused capability in Apache Flink. It detects meaningful event sequences in real time, fires only when a pattern is confirmed, and even catches events that never arrive. This guide covers what Flink CEP is, when to reach for it instead of stream processing, how to implement it, and what happened to the legacy CEP market.
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Real Time Airline Operations at Etihad Airways with Data Streaming Using Apache Kafka and Flink
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  • 5 minute read

Etihad Airways Makes Airline Operations Real-Time with Data Streaming

Airlines face constant pressure to deliver reliable service while managing complex operations and rising customer expectations. This blog post explores how Etihad Airways uses real-time data streaming with Apache Kafka and Flink to improve operational efficiency and passenger experience. Based on a presentation at the Data Streaming World Tour in Dubai, it highlights how Etihad built an event-driven platform to move from delayed insights to real-time action. The post also connects this story to other data streaming success cases in the aviation industry, including Lufthansa , Cathay Pacific, Virgin Australia, and Schiphol Airport in Amsterdam.
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