Design a Search Service
Last updated: September 21, 2025
Quick Overview
Design a geo-distributed search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
OpenAI
System Design
Product Manager
OpenAI
September 21, 2025Product Manager
Technical Screen
System Design
Medium
41
14
1,598 solved
Design a geo-distributed search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
OpenAI 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
- 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
Requirements gathering and capacity estimation
Partitioning and sharding strategies
High-level architecture and component design
Caching strategies (local, distributed, CDN)
Failure handling and fault tolerance
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 migrate from a monolithic to a microservices architecture?
- 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
- Geo-distributed Search Capability: Users should be able to perform searches from various geographical locations and receive results relevant to their location.
- **...
Capacity Estimation
Back-of-Envelope Calculations
- Estimated QPS: Assuming OpenAI targets to handle 5 million search requests per second during peak times.
- Data Size: If each search result averages 1KB a...
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