Design a high-throughput Recommendation System
Last updated: July 20, 2025
Quick Overview
Design a high-throughput recommendation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Snapchat
July 20, 2025114
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Design a high-throughput recommendation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Software engineering fundamentals questions at Snapchat test your understanding of core CS concepts and their practical application. This Onsite question evaluates how you apply engineering principles to build maintainable, scalable software.
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
- How would this design change if the team size doubled?
- How would you measure the performance of this component in production?
- What testing strategy would you use for this component?
- How would you document this for other engineers?
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Core Design Principles
- Separation of Concerns: Each component of the recommendation system should have a distinct role. For instance, data ingestion, processing, and serving should be handled by separate services to e...
Architecture
The recommendation system will adopt a microservices architecture:
- Data Ingestion Service: This service will handle user interactions and data collection, storing raw data in a streaming platfor...
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