Design a large-scale Ride Matching Platform
Last updated: November 2, 2025
Quick Overview
Design a scalable ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
DoorDash
System Design
Machine Learning Engineer
DoorDash
November 2, 2025Machine Learning Engineer
System Design Round
System Design
Easy
17
14
3,314 solved
Design a scalable ride matching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
DoorDash asks this during the System Design Round 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
Load balancing and horizontal scaling
Monitoring, logging, and alerting
Failure handling and fault tolerance
Caching strategies (local, distributed, CDN)
Partitioning and sharding strategies
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- How would you handle a region-wide outage?
- What monitoring and alerting would you set up on day one?
- What happens if one of your database nodes goes down?
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Requirements
- Functional Requirements:
- Match riders with available drivers in real-time based on proximity.
- Allow users to request rides through a mobile application.
- Provide estimated arrival tim...
Capacity Estimation
- Assuming DoorDash has approximately 10 million active users.
- If 10% of users request rides concurrently during peak hours, that results in 1 million simultaneous requests.
- Assuming each request ...
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