Machine Learning System Design — Interview Ali Aminian Pdf Better

[ Real-Time User Action ] ---> [ API Gateway / Load Balancer ] | v [ Online Feature Store (Redis) ] ---> [ Scoring/Inference Service ] ---> [ Fallback Rule Engine ] | v [ Offline Data Lake (S3) ] ------> [ Feature Engineering Pipeline ] | v [ Continuous Training Service ] --> [ Model Registry (MLflow) ]

The machine learning system design interview process typically consists of several rounds, including: [ Real-Time User Action ] ---> [ API