Storm @ Visual Revenue provides concise summaries of key points about Visual Revenue's use of Storm for real-time data processing. They process 14 billion page views per month on a 50 node Storm cluster on AWS. They previously built their own system using ZMQ and batch processing but found Storm and Kafka to be more scalable, fault tolerant, and efficient. Their data aggregation topologies in Storm collect and transform customer data in real-time to power dashboards and algorithms.