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Problem: Design a Rate Limiting System
Design a robust and scalable rate limiting system for an API gateway.
Your solution must address the following key requirements:
- Flexible Rate Limits: Support various rate limiting policies, such as "N requests per second" or "N requests per minute," applied per distinct key (e.g., per user, per IP address, or per API token).
- Concurrency and Bursty Traffic: Ensure correctness and fairness under high concurrency and handle sudden bursts of traffic gracefully without compromising the rate limits.
- Distributed Operation: The system must operate correctly and consistently across multiple instances of an API gateway in a distributed environment.
- Exceeding Limits: Define the behavior when a rate limit is exceeded, including the appropriate HTTP status code, response headers (e.g.,
X-RateLimit-Limit,X-RateLimit-Remaining,Retry-After), and guidance for clients on retrying. - Observability and Configurability: Provide mechanisms for monitoring the rate limiter's performance and usage, and allow for dynamic configuration of different limits based on criteria such as API endpoint, customer tier, or other custom attributes.
AI interview prep
Core dilemma
Balancing strict, consistent rate limiting across a distributed, multi-instance API gateway with high performance, low latency, and resilience under bursty traffic, while managing the complexity of distributed state.
Mid-level signals3
Senior signals3
Red flags3
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Problem: Design a Rate Limiting System
Design a robust and scalable rate limiting system for an API gateway.
Your solution must address the following key requirements:
- Flexible Rate Limits: Support various rate limiting policies, such as "N requests per second" or "N requests per minute," applied per distinct key (e.g., per user, per IP address, or per API token).
- Concurrency and Bursty Traffic: Ensure correctness and fairness under high concurrency and handle sudden bursts of traffic gracefully without compromising the rate limits.
- Distributed Operation: The system must operate correctly and consistently across multiple instances of an API gateway in a distributed environment.
- Exceeding Limits: Define the behavior when a rate limit is exceeded, including the appropriate HTTP status code, response headers (e.g.,
X-RateLimit-Limit,X-RateLimit-Remaining,Retry-After), and guidance for clients on retrying. - Observability and Configurability: Provide mechanisms for monitoring the rate limiter's performance and usage, and allow for dynamic configuration of different limits based on criteria such as API endpoint, customer tier, or other custom attributes.