Design a multi-tenant Video Streaming System

Last updated: December 13, 2025

Quick Overview

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

Datadog
System Design
Product Manager
Datadog
December 13, 2025
Product Manager
Technical Screen
System Design
Hard

1

10

205 solved


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

This is a common system design question asked during Technical Screen at Datadog. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. Datadog values engineers who can think about scalability from day one.

What the Interviewer Expects
  • Drive the design discussion proactively with minimal interviewer guidance
  • Perform detailed capacity estimation and use it to inform design decisions
  • Design for global scale with multi-region deployment and data consistency
  • Deep dive into 2-3 critical components with implementation-level detail
  • Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
  • Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
  • Propose a phased rollout plan from MVP to full-scale system
Key Topics to Cover
Failure handling and fault tolerance
Security and authentication
Requirements gathering and capacity estimation
Load balancing and horizontal scaling
Caching strategies (local, distributed, CDN)
High-level architecture and component design
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
  • What happens if one of your database nodes goes down?
  • How would you handle a 10x increase in traffic overnight?
  • How would you implement rate limiting to protect the system?
  • How would you handle a region-wide outage?
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Sample Answer
Requirements
  • Functional Requirements:
    1. Support for live and on-demand video streaming for multiple tenants.
    2. User authentication and authorization to ensure secure access to video content.
    3. Abili...
Capacity Estimation
  1. User Base: Assume 1 million active users, with 10% streaming at peak times.
  2. Concurrent Streams: 100,000 concurrent streams during peak hours.
  3. Data Size: Average video stream bitra...

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