API Rate Limiting in 2 Minutes (Token Bucket vs Fixed Window)
Master API Rate Limiting in 2 Minutes
If your API gets popular, it will get abused. In this video, I explain rate limiting fast and practical—perfect for backend interviews and real production systems.
What you’ll learn:
What rate limiting is (N requests per time window)
Why in-memory counters fail behind a load balancer
Redis-based rate limiting
Fixed Window vs Token Bucket
HTTP 429 Too Many Requests + Retry-After
⏱️ Chapters
00:00 Why rate limiting matters
00:15 Definition
00:25 Login endpoint example
00:38 Common mistake (single-server memory counter)
00:54 Redis approach
00:58 Fixed Window vs Token Bucket
01:12 429 + Retry-After
01:23 LearnHub notes
📌 Notes & summaries:
I keep my full backend/system design notes in LearnHub (GitHub) — free & open-source.
LearnHubAI.github.io
#SystemDesign #Backend #APIs #RateLimiting #Redis #Microservices #PHP #Laravel