Yoda Response: Hmm, elaborate on my experience with Kafka, I shall. At Onclusive, set up Kafka for data stream processing, we have. Source data from various channels, we do, such as news channels. Their data, they provide via APIs, and into our Kinesis stream, it goes. From Kinesis, Lambda functions trigger to transform the data.

For cost optimization, scalability, and faster processing, transitioned to Kafka and Apache Beam, we have. Set up a Kafka cluster, we did. Our sources, we asked to publish data to specific Kafka topics. From these topics, Apache Beam processes and transforms the data.

Kafka, we use for its performance, scalability, and cost benefits. Additionally, for analytics and monitoring, Kafka helps. Logs of data consumption and types of data consumed, we push to Kafka topics. From there, dashboards we create, to analyze and visualize the data better.

Thus, Kafka plays a crucial role in our data pipeline, it does.