Design a large-scale Rate Limiting Platform
Last updated: August 19, 2025
Quick Overview
Design a distributed rate limiting system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cruise
August 19, 20250
6
3,993 solved
Design a distributed rate limiting system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cruise asks this during the System Design Round to assess your depth in software engineering. They want to see understanding of design patterns, system architecture, and the trade-offs involved in different technical approaches.
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 testing strategy would you use for this component?
- How would you measure the performance of this component in production?
- What are the security implications of this design?
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Core Design Principles
For a large-scale Rate Limiting Platform at Cruise, the core design principles include:
- Single Responsibility Principle (SRP): Each component of the rate limiting system should have a single r...
Architectural Approach
The proposed architecture for the distributed rate limiting system involves:
- Microservices Architecture: Implement a dedicated Rate Limiting Service that communicates with other microservices ...
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