What is Rate Limiting

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With no limit, anyone can hit your API as fast as they like — a buggy script, a scraper, or an attacker can flood you, crash your servers and blow up your cloud bill. Rate limiting is the fix: cap how many requests each client can make in a time window, and politely refuse the rest with a "429 Too Many Requests." In this 20-minute visual guide we break down the token bucket, the main algorithms, what to limit by, the 429 response, and where rate limiting runs.

No prior background needed — but if you've watched our API Gateway and Caching videos, this is where they come together.

⏱️ TIMESTAMPS
00:00 The problem: too many requests
01:30 What rate limiting actually is
02:30 The nightclub-bouncer analogy
03:30 Allowed vs limited (the 429)
04:00 The classic: token bucket
04:30 Common algorithms
05:00 The fixed-window edge problem
05:30 What do you limit by?
06:00 Telling the client politely (429 + headers)
06:30 Where rate limiting lives
07:00 Why it matters
07:30 Common misconceptions
08:00 Doing it well
08:30 Rate limiting in the stack

🔧 TOOLS MENTIONED
NGINX · Redis · API gateways (Kong, AWS, Apigee) · Cloudflare · Envoy · express-rate-limit

🎯 WHAT YOU'LL LEARN
• How the token bucket allows bursts while capping the sustained rate
• The main algorithms: token/leaky bucket, fixed & sliding window
• Why the fixed-window boundary is exploitable
• What to limit by — IP, API key, user, endpoint — and combining them
• The 429 response, Retry-After, and why distributed limits need Redis

🔐 GO DEEPER
Rate limiting is one layer of defending an API. Real protection layers it with auth, validation, monitoring and a hardened gateway. Explore the Dargslan curriculum:
👉 https://dargslan.com

📚 DATA EXPLAINED SERIES
▸ SQL vs NoSQL · Database Indexes · What is ACID
▸ Database Sharding · Caching · Message Queues
▸ Rate Limiting ← you are here
…plus the Networking, Auth and Infra Explained series.

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