Rate Limiting Design
Rate Limits by Endpoint
| Endpoint | Limit |
|---|---|
| Auth (login) | 5/min |
| Read API | 100/min |
| Write API | 30/min |
| Search | 20/min |
Response Headers
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 95
X-RateLimit-Reset: 1609459200
Retry-After: 60
Key Points
- Understanding API Design: Rate Limiting is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
API Best Practices
Design Principles
- Use nouns, not verbs
- Plural resource names
- Consistent naming conventions
- Proper HTTP status codes
Versioning
- URI versioning (/v1/resource)
- Header versioning
- Deprecation policy
Documentation
- OpenAPI/Swagger specs
- Request/Response examples
- Error code documentation
- Rate limit documentation
Key Points
- Understanding API Design: Rate Limiting is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Practice Problems
Design and implement a solution for API Design: Rate Limiting in a backend system. Consider scalability, error handling, and production readiness.
Solution
// API Design: Rate Limiting implementation
// Key aspects: validation, error handling, logging, testing
public class APIDesignRateLimiting {
// Production-ready implementation
}Identify and handle edge cases for API Design: Rate Limiting. What happens under high load, with invalid input, or during failures?
Solution
// Edge case handling:
// 1. Null/empty input -> validation
// 2. High load -> rate limiting, queuing
// 3. Failures -> retries, circuit breaker
// 4. Concurrent access -> locks, idempotencyWrite a testing strategy for API Design: Rate Limiting. Include unit tests, integration tests, and performance tests.
Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injectionQuiz
1. Rate limiting status code?
2. Different endpoints need?
3. What is the primary purpose of API Design: Rate Limiting?
4. What is a common mistake when implementing API Design: Rate Limiting?
Flashcards
Question
Rate limit status?
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Answer
429 Too Many Requests
Question
Rate limits by endpoint?
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Answer
Different limits based on operation
Question
What is API Design: Rate Limiting?
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Answer
API Design: Rate Limiting is a key concept in backend development.
Question
When to use API Design: Rate Limiting?
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Answer
Use API Design: Rate Limiting when building production systems that require reliability, scalability, and maintainability.
Question
API Design: Rate Limiting best practices
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Answer
Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.
Revision Notes
Key Takeaways
- 1.Different limits for different endpoints
- 2.Return 429 with Retry-After header
- 3.Auth endpoints: stricter limits
- 4.Include rate limit headers
Interview Tips
- •Design rate limiting
- •Set appropriate limits
Cheat Sheet
Rate Limiting
- 429: Too Many Requests
- Limits: per endpoint (auth stricter)
- Headers: X-RateLimit-Limit, Remaining
- Retry-After: seconds