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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