Design a large-scale Video Streaming Platform

Last updated: March 16, 2026

Quick Overview

Design a real-time video streaming system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Zoom
System Design
Software Engineer
Zoom
March 16, 2026
Software Engineer
Onsite
System Design
Hard

296

3

371 solved


Design a real-time video streaming system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

ML system design at Zoom goes beyond model selection. This Onsite question evaluates your ability to design end-to-end ML pipelines, from data collection to model serving, while considering production constraints like latency and reliability.

What the Interviewer Expects
  • Design the full ML lifecycle from data collection to model monitoring
  • Address cold start, exploration/exploitation, and model freshness
  • Discuss multi-objective optimization and ranking systems
  • Plan for model debugging, fairness, and bias mitigation
  • Design the feature store and training pipeline for scale
  • Address model versioning, canary deployments, and rollback strategies
  • Discuss the data flywheel and long-term system evolution
Key Topics to Cover
Feature engineering and feature stores
ML objective formulation and metric selection
A/B testing and experimentation
Training pipeline and infrastructure
Model serving and latency optimization
Monitoring and model degradation detection
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • How would you ensure fairness and reduce bias in the model?
  • How would you handle a 10x increase in prediction requests?
  • How would you debug a model that works well offline but poorly online?
  • How would you run A/B tests on different model versions?
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Sample Answer
Requirements

Functional Requirements

  • Real-time Video Streaming: Support live video streaming for millions of concurrent users.
  • User Interaction: Allow users to interact with video streams (chat, re...
Capacity Estimation

Capacity Estimation

Assuming Zoom targets 10 million concurrent users during peak times:

  • Video Bitrate: Average bitrate is 1.5 Mbps (for HD quality).
  • Total Bandwidth Needed:
    • 10 mi...

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