Yoda Response: Utilize Kafka extensively, we do. Process around 10 to 15 TB of data daily, we must. Initially, data pushed to Amazon Kinesis, it was. Transitioning to Kafka, we are now. Directly post data to Kafka topics, our sources do. Analyze and transform this data for our storage, we do.

Kafka, a streaming server, it is. Removing the need for Kinesis and Polar, we are. Scalable, our Kafka cluster is. Designed to handle increased data loads by scaling machines, it can be. Auto-scaling clusters, we have set up.

For processing, use Apache Beam, we do. Executors based on Kafka group ID, we run. Scale replicas easily, we can. Need more executors, we do when data volume increases. Efficient and scalable, our data processing system with Kafka and Apache Beam is.