B CareerByteCode
DSA Intermediate 👋 CareerByteCode

Rate Limiter with the Sliding Window Log

Cap requests per user per window accurately using a sliding window log, the algorithm behind real API limits.

Problem statement

You must allow at most N requests per user per minute, but a fixed-window counter lets a burst slip through at the window boundary.

Why we need this realtime usecase

A sliding window log keeps the exact timestamps in the last window, so the limit is accurate with no boundary burst.

When we need this realtime usecase

Use this to protect APIs, login endpoints, and any resource that must not be hammered by one caller.

Prerequisites for the lab

A language you know; for production, a store such as Redis with sorted sets.

Step by step implementation 🔒
🔒

Unlock the full lab

The step by step build and conclusion are part of a ByteLabs bundle. Enrol once to unlock every gated section in it.

Enrol in "AI, ML and DSA Realtime Starter" · ₹589
Conclusion 🔒
🔒

Unlock the full lab

The step by step build and conclusion are part of a ByteLabs bundle. Enrol once to unlock every gated section in it.

Enrol in "AI, ML and DSA Realtime Starter" · ₹589
← Back to all usecases