expertReal System Design Problems
Design Netflix's Video Recommendation System — offline training meets real-time serving.
The large-scale ML-serving problem: the full pipeline from user-behavior data collection through offline model training to a real-time recommendation-serving layer, how recommendations get personalized for hundreds of millions of users, and how the system handles the cold-start problem for a brand-new user with no watch history yet.
Ready to design this system end to end?
Generate a complete, structured system design answer — requirements, capacity estimation, API design, architecture, database choice, scaling, caching, fault tolerance, security, trade-offs, and more, walked through the way a strong senior engineer would in a real interview.
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