Rate limiting protects APIs from abuse and ensures fair usage. Here's how to implement it effectively.
Rate Limiting Algorithms#
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Express Middleware#
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Sliding Window Counter (Redis)#
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Tiered Rate Limiting#
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Cost-Based Rate Limiting#
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Client-Side Handling#
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Best Practices#
Implementation:
✓ Use Redis for distributed systems
✓ Include rate limit headers
✓ Provide clear error messages
✓ Log rate limit events
Strategy:
✓ Different limits for different endpoints
✓ Higher limits for authenticated users
✓ Cost-based for expensive operations
✓ Fail open if limiter fails
UX:
✓ Return remaining quota in headers
✓ Include retry-after header
✓ Provide upgrade path
✓ Document limits clearly
Conclusion#
Rate limiting protects APIs and ensures fair usage. Choose the right algorithm (token bucket for burst tolerance, sliding window for accuracy), use Redis for distributed deployments, and provide clear feedback to clients. Different endpoints and user tiers should have appropriate limits.