FAANG / Big Tech interview question · Most asked
Design a rate limiter.
Summary
Cover token bucket/leaky bucket/sliding window, where to enforce (gateway/service), distributed counters (Redis), and client identification.
Longer Answer
Cover token bucket/leaky bucket/sliding window, where to enforce (gateway/service), distributed counters (Redis), and client identification. Common infra design question.
Key Points
- Cover token bucket/leaky bucket/sliding window, where to enforce (gateway/service), distributed counters (Redis), and client identification
- Common infra design question
- Relevant areas: System Design, Rate Limit
- Use the answer to connect the concept back to a realistic production or interview scenario for 'Design a rate limiter.'
Comparison / Tradeoffs
| Aspect | Notes |
|---|---|
| Core idea | Cover token bucket/leaky bucket/sliding window, where to enforce (gateway/service), distributed counters (Redis), and client identification. |
| Practical tradeoff | Common infra design question. |
Explanation
Summary
Common infra design question.
Longer Answer
Common infra design question. Focus on the practical implications across System Design, Rate Limit.
Key Points
- Common infra design question
- Focus on the practical implications across System Design, Rate Limit
- Relevant areas: System Design, Rate Limit
- Use the answer to connect the concept back to a realistic production or interview scenario for 'Design a rate limiter.'
Comparison / Tradeoffs
| Aspect | Notes |
|---|---|
| Core idea | Common infra design question. |
| Practical tradeoff | In an interview, relate 'Design a rate limiter.' to implementation decisions, tradeoffs, and operational impact. |
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