Case Study – MySocialMedia

The video introduces CQRS (Command Query Responsibility Segregation) and its application in a social media context, focusing on handling high data volumes with Kafka. It explains the architecture involving separate topics for posts, likes, and comments, and the use of Kafka Streams for data aggregation and trending post identification. The video also covers the decoupling of commands and queries in CQRS for scalability and discusses data management in Kafka, including event formatting and partitioning strategies.

How does the architecture handle the aggregation of likes and comments?

What is the significance of using user ID and post ID as keys in the Kafka topics?

What is the format of the events produced in Kafka, and why is it important?