When I was building my backend API, I realized a big problem: anyone could spam my endpoints. If a...
When I was building my backend API, I realized a big problem: anyone could spam my endpoints.
If a user repeatedly reloads a page or hits an endpoint calling an external AI service, it can crash the server or run up high API costs.
To fix this, I added Rate Limiting. Here is why I used Redis for it and how I set it up.
The Problem with Simple In-Memory Limiters
At first, I thought about saving request counts in a simple JavaScript object:
The Problem Every Node.js rate limiting solution I tried had the same issue — Redis in the...
The Fixed Window Vulnerability When protecting your SaaS API at Smart Tech Devs, rate limiting is...
The Quest Begins (The “Why”) Picture this: I’m huddled over my laptop at 2 a.m., eyes...
A few months back, I was building a content generation tool. The idea was simple: take a list of...
An API with no rate limit is an API waiting to be hammered. A careless script stuck in a retry loop,...
Last month, I spent three days banging my head against the wall because of API rate limits. I was...
