Design a Rate Limiting Service

Last updated: August 14, 2025

Quick Overview

Design a distributed rate limiting system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Airbnb
Software Engineering Fundamentals
Software Engineer
Airbnb
August 14, 2025
Software Engineer
Technical Screen
Software Engineering Fundamentals
Hard

272

3

3,857 solved


Design a distributed rate limiting system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

This fundamentals question from Airbnb's Technical Screen 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
  • Design a complex system component applying multiple engineering principles
  • Reason about system-level trade-offs: performance, reliability, developer experience
  • Discuss advanced patterns: event sourcing, CQRS, distributed transactions
  • Address cross-cutting concerns: observability, security, backward compatibility
  • Demonstrate depth in both theoretical foundations and practical implementation
Key Topics to Cover
SOLID principles
System observability and debugging
Concurrency and thread safety
Code review best practices
Version control and branching strategies
How to Approach This
  1. Apply SOLID principles. Single Responsibility makes code testable, Open/Closed makes it extensible.
  2. Choose data structures based on access patterns, not familiarity.
  3. Prefer immutable data and message passing over shared mutable state for concurrency.
  4. Design APIs with RESTful conventions, versioning, meaningful errors, and pagination from day one.
Possible Follow-up Questions
  • How would you handle backward compatibility?
  • How would you document this for other engineers?
  • How would this design change if the team size doubled?
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Sample Answer
Core Design Principles

For the rate limiting service, several core design principles apply:

  1. Single Responsibility Principle (SRP): Each component of the system should have a single responsibility. For instance, separ...
Architecture

The architecture for the rate limiting service should be designed as a microservices-based system. Here’s a specific approach:

  • Distributed Service: Each instance of the rate limiter runs indepen...

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