API Rate Limiting: What Actually Breaks When You Get It Wrong

Most teams add rate limiting to their API as an afterthought — usually right after something has already gone wrong. A scraper hammers an endpoint, a client integration goes into a retry loop, or a single misbehaving user takes down a shared resource for everyone else. By then, you're not designing a rate limiter, you're firefighting. This post...