Medium

This post details the ingestion and processing of data into Netflix's Real-Time Distributed Graph (RDG). It describes the use of Kafka for event ingestion, Flink for stream processing, and a custom data model for representing graph entities. The system employs techniques like idempotent writes and backpressure handling to manage the data flow effectively, addressing challenges of high-volume, real-time data streams and ensuring data consistency and availability.