What is Rate Limit in API?

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Updated 12 days ago
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Rate limiting is one of those “boring-sounding but super important” API concepts. Here’s the clean explanation 

What is Rate Limiting in an API?

Rate limiting is a mechanism that restricts how many API requests a client can make within a specific time period.

In simple terms:
“You can call this API only X times in Y seconds/minutes/hours.”

Example:

  • 100 requests per minute per user
  • 1,000 requests per hour per IP
  • 10 requests per second per API key

If the limit is exceeded, the API rejects further requests temporarily.

Why Rate Limiting Is Important

1. Prevents abuse & attacks

Protects APIs from:

  • Brute-force attacks
  • DDoS-style flooding
  • Bot abuse

2. Ensures fair usage

Stops one user from consuming all server resources and slowing down others.

3. Improves performance & stability

Keeps CPU, memory, and database load under control.

4. Cost control

APIs often pay per request (cloud, SMS, email, maps APIs).
Rate limiting prevents unexpected bills 

How Rate Limiting Works (Conceptually)

  • Client sends a request
  • API checks:
    • Who is the client? (IP, user ID, API key, token)
    • How many requests have they already made in the time window?
  • If under limit → request allowed
  • If over limit → request blocked

Blocked responses usually return:

HTTP 429 – Too Many Requests

Often with headers like:

X-RateLimit-Limit: 100
X-RateLimit-Remaining: 0
Retry-After: 60

Real-World Examples

  • Login API: 5 attempts per minute (prevents brute force)
  • OTP API: 3 requests per 10 minutes
  • Public API: 1,000 requests per hour
  • Admin API: Higher or unlimited limits

Rate Limiting vs Throttling (Quick Difference)

Feature Rate Limiting Throttling
Purpose Block excess requests Slow down requests
Action Reject (429) Delay processing
Use case Abuse prevention Traffic smoothing

Where Rate Limiting Is Implemented

  • API Gateway (NGINX, Kong, AWS API Gateway)
  • Application layer (middleware / filters)
  • Reverse proxy
  • CDN (Cloudflare, Akamai)
answered 12 days ago by ICSM

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