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Rate Limiting Design
ASecurityDesign and implement rate limiting strategies to protect APIs and services from abuse while maintaining quality of service.
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- Added September 6, 2026
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[](https://www.skillsdirectory.com/skills/atulpurohit-rate-limiting-design)---
name: rate-limiting-design
description: "Design and implement rate limiting strategies to protect APIs and services from abuse while maintaining quality of service."
category: architecture
tags: [rate-limiting, throttle, api, security, performance]
complexity: advanced
risk: low
compatibility: [claude-code, antigravity, gemini-cli, cursor, copilot, codex-cli, autohand, kiro]
source: antigravity-official
version: "1.0.0"
date_added: "2026-07-10"
last_updated: "2026-07-10"
---
# Rate Limiting Designer
## Purpose
Protect APIs and services from abuse, ensure fair usage, and maintain system stability under high load.
## Rate Limiting Algorithms
### Fixed Window
```
Simplest: Count requests per time window
Problem: Allows 2x burst at window boundary
Window: 10 requests per minute
Key: user:123:2026-07-10-10:30
```
### Sliding Window (Recommended)
```python
def check_rate_limit(user_id: str, limit: int, window: int) -> bool:
now = time.time()
window_start = now - window
key = f"ratelimit:{user_id}"
# Remove expired entries
redis.zremrangebyscore(key, '-inf', window_start)
# Count in current window
count = redis.zcard(key)
if count >= limit:
return False
# Add current request
redis.zadd(key, {str(now): now})
redis.expire(key, window)
return True
```
### Token Bucket
```
Best for: Allowing bursts up to bucket capacity
Bucket: 100 tokens, refill 10/second
Each request: costs 1 token
Burst allowed: up to 100 requests instantly
```
## Response Headers
```
X-RateLimit-Limit: 100 # Limit per window
X-RateLimit-Remaining: 45 # Requests remaining
X-RateLimit-Reset: 1625000000 # Unix timestamp of window reset
Retry-After: 60 # Seconds until retry allowed (429 only)
```
## Tiered Rate Limits
```
Anonymous: 20 requests/minute
Free tier: 100 requests/minute
Pro tier: 1000 requests/minute
Enterprise: Custom
```
## Outputs
1. Rate limiting middleware implementation
2. Per-endpoint limit configuration
3. Response header standards
4. Bypass allowlist for internal services
5. Monitoring and alerting for rate limit events
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