Building an Event-Driven Application with Apache Flink
summary
Shows how to use Apache Flink for an event-driven, stream-processing platform to calculate and deliver credit (and similar) product offers with deterministic guarantees — specifically ensuring offers accepted by customers are approved with 99.9% probability. Presents a real-world example from T-Bank and explains building a production streaming solution that enforces consistency between the presented offer and backend decisioning.
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chapters (6)
- 0:00Introduction
- 10:27Classic approach problems
- 21:59Apache Flink solution
- 32:20Flink challenges
- 39:53Flink limitations
- 44:52Conclusion
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