Design Uber Ride Matching

Last updated: November 22, 2025

Quick Overview

Design the architecture for Uber Ride Matching. Cover scalability, data storage, caching, and real-time requirements.

Uber
System Design
Product Manager
Uber
November 22, 2025
Product Manager
Technical Screen
System Design
Easy

291

6

650 solved


Design the architecture for Uber Ride Matching. Cover scalability, data storage, caching, and real-time requirements.

Uber asks this during the Technical Screen to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.

What the Interviewer Expects
  • Clearly define functional and non-functional requirements
  • Propose a reasonable high-level architecture with core components
  • Choose appropriate data storage solutions with basic justification
  • Discuss basic scaling strategies (horizontal scaling, caching)
  • Identify potential bottlenecks and suggest simple solutions
Key Topics to Cover
Security and authentication
Database selection and data modeling
High-level architecture and component design
Message queues and async processing
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 handle a region-wide outage?
  • How would you implement rate limiting to protect the system?
  • What monitoring and alerting would you set up on day one?
  • How would you handle schema migrations with zero downtime?
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Sample Answer
Requirements

Functional Requirements:

  1. User Matching: The system should match riders with nearby drivers based on proximity and estimated time of arrival (ETA).
  2. Ride Request Handling: Users can re...
Capacity Estimation

Assuming Uber operates in a large city with a population of around 1 million:

  1. User Base: Estimate 10% of the population uses the app regularly, so approximately 100,000 active users.
  2. **Ride ...

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