Architect a real-time Search Engine
Last updated: November 10, 2025
Quick Overview
Design a real-time search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Coinbase
November 10, 202568
13
4,156 solved
Design a real-time search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This fundamentals question from Coinbase's Onsite tests whether you can reason about software design at a deep level. The interviewer expects discussion of maintainability, testability, and operational considerations.
What the Interviewer Expects
- Apply engineering principles to a realistic design scenario
- Discuss trade-offs between different approaches with concrete examples
- Demonstrate understanding of testability, maintainability, and extensibility
- Connect theoretical concepts to production engineering practices
- Discuss how the approach scales with team and codebase size
Key Topics to Cover
How to Approach This
- Apply SOLID principles. Single Responsibility makes code testable, Open/Closed makes it extensible.
- Choose data structures based on access patterns, not familiarity.
- Prefer immutable data and message passing over shared mutable state for concurrency.
- Design APIs with RESTful conventions, versioning, meaningful errors, and pagination from day one.
Possible Follow-up Questions
- What are the security implications of this design?
- What testing strategy would you use for this component?
- How would you document this for other engineers?
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Core Design Principles
For the real-time search engine at Coinbase, the core design principles include Separation of Concerns, Scalability, and Performance. Separation of Concerns is crucial as it allows us to d...
Architecture
The architecture will adopt a Microservices pattern where different services handle indexing, querying, and user management. For instance, we will use Elasticsearch for the search functionalit...
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