INSTAGRAM'S RECOMMENDATION SYSTEM SCALING

Summary from the TLDR Web Dev newsletter

Instagram scaled its recommendation system to over 1,000 ML models by fixing infrastructure maturity gaps. They built a model registry for central model management, automated the launch process to reduce time from days to hours, and implemented model stability metrics to monitor prediction accuracy.