System Design Cases10 lessons22 quiz questions

Design: Rate Limiter

10-session plan mastering rate limiting from algorithm selection to distributed production deployment.

What You Will Learn

  • Requirements & Algorithm Overview
  • Token Bucket Deep Dive
  • Sliding Window Counter
  • Distributed Rate Limiting
  • Multi-Tier & Rule Configuration
  • API & Response Headers
  • Failure Handling
  • High-Throughput Optimization
  • Edge Cases & Abuse Prevention
  • Mock Interview

Overview

10-session plan mastering rate limiting from algorithm selection to distributed production deployment. Design: Rate Limiter: Requirements & Scope Functional Requirements Before designing anything, clarify what the system needs to do: Core features — What are the must-have features? User types — Who uses the system? End users, admins, API consumers? Scale — How many users? What's the read/write ratio? Non-Functional Requirements Availability: 99.9% (8.7 hours downtime/year) or 99.99%? Latency: < 100ms for reads? < 500ms for writes? Consistency: Strong or eventual? CAP trade-off? Durability: Can we lose data? How much? Clarifying Questions to Ask What's the expected DAU (Daily Active Users)? What's the read-to-write ratio? Do we need real-time updates? What's our budget constraint? What geography do we serve? Interview Tip "I always spend the first 5 minutes clarifying requirements. This shows structured thinking and prevents designing the wrong system. I explicitly separate functional from non-functional requirements." Java Implementation Python Implementation

Sample Quiz Questions

1. Which HTTP status code indicates a rate limit has been exceeded?

·Difficulty: easy/5

2. What is the main disadvantage of a fixed window counter rate limiter?

·Difficulty: medium/5

3. Why must the sliding window check-and-increment be done atomically in Redis?

·Difficulty: medium/5

+ 19 more questions available in the full app.

Related Topics

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