Rate Limiting for APIs: Patterns that Save You Money

Rate Limiting for APIs: Patterns that Save You Money — here’s a practical explanation you can apply today. We’ll focus on what matters, skip buzzwords, and keep examples short and testable.

Why this topic matters

When teams understand the core idea, they stop guessing. You’ll make fewer breaking changes and more reversible, low‑risk improvements.

Core concepts in one minute

• Define your success metric first (latency? error rate? cache hit ratio?).
• Change one variable at a time and measure again.
• Prefer solutions you can debug at 02:00 without a manual.

A quick example

Last month we helped a small shop with mobile-speed issues; the win came from right-sized images and enabling HTTP/2 — not a server upgrade.

curl -I https://pingtoolnet.com | sed -n '1,20p'

Checklist

1. Start with a small scope and expand only if metrics demand it.
2. Write down every change — even the ones that didn’t help.
3. Benchmark from the user’s location, not only from your server.
4. Automate the second time you do something.
5. Prefer boring, well‑documented defaults before tuning knobs.