Protecting Your API with Rate-Limit and Slow-Down
Imagine you're waiting in line at a coffee shop. There's a customer in front of you who keeps ordering one drink after another, hogging the cashier's time while everyone else waits. Eventually, the barista tells them to wait a few minutes before placing another order, and if they persist, they're asked to leave. This is how rate-limiting and slow-down work in the API world: they ensure no single user can hog all the resources, protecting your system from being overwhelmed.
· 6 min read