Build a dynamic rules engine with Amazon Managed Service for Apache Flink

This article demonstrates how to implement a dynamic rules engine using Amazon Managed Service for Apache Flink, allowing rules to be created and updated without modifying the underlying code. It covers streaming real-time data from sources like IoT sensors, defining rules using a rules stream, connecting the data and rules streams using Apache Flink's broadcast state pattern, evaluating rules using Java Expression Language (JEXL), and emitting evaluated results to a sink for further processing.

Specifically, the article covers:

• Solution overview with data ingestion from sources like IoT sensors and rule ingestion as separate streams
• Connecting data and rules streams using Apache Flink connectors and the broadcast state pattern
• Evaluating rules using JEXL expressions and user-defined functions
• Creating sinks to emit evaluated results for downstream processing
• Conclusion and announcement of a GitHub sample for implementing the dynamic rules engine