DevOps Articles

Netflix Tudum Architecture: from CQRS with Kafka to CQRS with RAW Hollow

The Netflix Tech Blog article discusses the transition of Netflix's architecture from Command Query Responsibility Segregation (CQRS) using Kafka to a more refined CQRS model employing raw hollow. This evolution aims to enhance the scalability and performance of Netflix's streaming services by optimizing how data is processed and retrieved.

In the previous architecture, Kafka played a pivotal role in managing user requests and content delivery. However, the complexities and limitations faced prompted a shift towards a model that utilizes raw data access techniques. This new approach simplifies interactions with data, allowing for quicker queries and better overall response times for users.

The article delves into the technical specifics of the new architecture, highlighting the importance of efficient data handling in supporting Netflix's vast catalog and diverse user base. It also emphasizes the need for continuous improvement and adaptation in the ever-changing landscape of software architecture, particularly in the field of streaming services. This journey underlines the significance of leveraging modern tools and practices to meet user expectations in a competitive market.