Design Uber Surge Pricing
Last updated: January 30, 2026
Quick Overview
Design the architecture for Uber Surge Pricing. Cover scalability, data storage, caching, and real-time requirements.
Uber
January 30, 202641
13
4,639 solved
Design the architecture for Uber Surge Pricing. Cover scalability, data storage, caching, and real-time requirements.
Uber 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
- Systematically gather requirements and estimate capacity (QPS, storage, bandwidth)
- Design a scalable architecture with clear component responsibilities
- Make well-reasoned database and caching decisions with trade-off analysis
- Address consistency vs availability trade-offs specific to the use case
- Discuss partitioning strategy, replication, and data modeling
- Cover failure handling, monitoring, and alerting strategies
Key Topics to Cover
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
- What would the deployment pipeline look like for this system?
- How would you implement rate limiting to protect the system?
- How would you handle a 10x increase in traffic overnight?
- How would you handle schema migrations with zero downtime?
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Requirements
Functional Requirements
- Dynamic Pricing Calculation: The system should calculate surge pricing based on demand and supply in real-time.
- User Notification: Notify users when surge pri...
Capacity Estimation
Assuming Uber operates in a city with approximately 1 million rides per day:
- Peak Hour Load: During rush hours, assume 30% of rides occur, leading to 300,000 rides. If we estimate 10% of these ...
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