Rate Limiting vs Throttling vs Debouncing

Rate limiting, throttling, and debouncing are backend techniques to control how often requests are processed, protecting APIs and services from overload.

When to Use

  • Rate limiting: Cap total requests per time window (e.g., 100/min).
  • Throttling: Allow steady flow (e.g., one request every 200 ms).
  • Debouncing: Process only after a quiet period, avoiding duplicate triggers.

Example

A login API may rate limit users to 5 attempts/min, a payment API may throttle calls to once every 500 ms, while a logging system may debounce bursts into a single write.

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Why Is It Important

These methods prevent downtime, reduce costs, and ensure fairness for all API consumers.

Interview Tips

Be clear on differences, provide a backend scenario, and highlight how these patterns improve system reliability. Comparing them directly is often an interview plus.

Trade-offs

  • Rate limiting: Guarantees protection but may reject valid requests.
  • Throttling: Smooths load but slows responsiveness.
  • Debouncing: Reduces noise but risks skipping events.

Pitfalls

Common mistakes: setting thresholds too tight, confusing debouncing with throttling, or not handling rejected requests gracefully.

TAGS
System Design Interview
System Design Fundamentals
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