expanso-fan-out-kafka

To distribute data streams to multiple Kafka topics simultaneously, you need a fan-out routing mechanism that publishes a single data point to several distinct topics concurrently for parallel processing and real-time distribution across consumers.

Dynamic topic routing in Kafka is the process of directing incoming data to specific topics based on data content or predefined patterns. You need it when routing sensor readings to different topics like archival, real-time alerts, or downstream processing pipelines.

Yes, you need Expanso Edge running and configured Kafka broker credentials to set up concurrent data routing. These prerequisites enable the pipeline to connect to your broker and dynamically distribute incoming data streams.

To configure a fan-out data pipeline for parallel processing, use the provided run script to start routing sample data. This allows a single input data point to be published concurrently to multiple configured Kafka topics for different consumers.

The best way to send a single data point to several distinct Kafka topics is using a multi-topic publishing pattern. This approach allows concurrent parallel processing, such as distributing data to archival, alert, and analytical topics simultaneously.

Yes, you can route data to different Kafka topics based on data content or predefined patterns. This dynamic topic selection enables real-time data routing, allowing you to direct specific incoming data streams to the appropriate concurrent processing pipelines.