Day 16/30: Rate Limiting 📌
This is a dev post classified by Jev as Backend & APIs (a tutorial), kept by the Dev Radar because it carries real work, not commentary.
Day 16/30: Rate Limiting 📌 What happens when thousands of users hit your API at the same time? Without rate limiting, a single user or bot can send thousands of requests and overload your service. Rate limiting controls how many requests a client can make within a given time. Without rate limiting: → User sends requests → Requests keep increasing → Server gets overloaded → Legitimate users are affected With rate limiting: → Request arrives → Rate limiter checks usage → Under the limit → Allow → Over the limit → Reject / delay Common algorithms: → Token Bucket → Leaky Bucket → Fixed Wi
Posted by SCR (7.3k followers) 2 days ago · 153 likes · 3.4k views · view the original post on X. Kept by the Dev Radar as Backend & APIs.
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