What Is API Throttling and Rate Limiting? Explained Simply
As APIs become more widely used, it’s important to protect them from abuse and ensure they stay fast and reliable. That’s where rate limiting and throttling come in.
Though these terms are often used interchangeably, they have subtle but important differences.
What Is Rate Limiting?
Rate limiting is a technique used to limit the number of API requests a client can make within a specified time window.
Example: Allow only 100 requests per minute per user.
Benefits:
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Prevents abuse and denial-of-service (DoS) attacks
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Ensures fair resource usage
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Maintains consistent performance for all users
What Is API Throttling?
Throttling is the process of slowing down or rejecting requests when a client exceeds their allowed rate.
It’s what actually enforces the rate limit.
Types of throttling behavior:
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Hard limit: Block excess requests with HTTP 429 Too Many Requests
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Soft limit: Delay responses or queue excess traffic
Key Concepts
| Term | Description |
|---|---|
| Limit Window | Time frame for counting requests (e.g., per minute) |
| Burst Capacity | Allows short spikes above the limit |
| Quota | Total allowed requests over a longer period (e.g., daily) |
| Retry-After Header | Informs client when they can retry after throttling |
Best Practices
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Define sensible limits based on usage patterns
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Use consistent error codes (e.g., 429 with Retry-After)
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Inform clients of rate limits via headers (e.g., X-RateLimit-Remaining)
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Segment by API key, IP, or user ID for flexibility
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Log and monitor traffic to adjust policies over time
Common Tools and Services
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NGINX / Kong / Envoy – popular API gateways with built-in rate limiting
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AWS API Gateway / Azure API Management – cloud-native enforcement
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Redis or in-memory stores – for custom token bucket or leaky bucket algorithms
Final Thoughts
Rate limiting and throttling are essential tools in modern API design. They protect your backend, ensure fair access, and improve reliability for everyone.
Even a simple rate-limiting policy can go a long way in keeping your API healthy, scalable, and abuse-resistant.

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