Rate limiting caps how many requests a client may make within a time window, and throttling is the enforcement that rejects or delays requests over that cap — in NestJS typically via @nestjs/throttler and a global ThrottlerGuard.
In simpler words
Rate limiting says “you get N requests per minute”; anything past that gets a 429 instead of reaching your handler.
Rate limiting is a judgment call about where a request cap protects the API and how Nest would enforce one. An in-memory per-IP guard is one approach — for example, throttling auth to roughly 10 attempts per 60 seconds — while @nestjs/throttler’s ThrottlerModule is the standard library approach for the same job.
Name endpoints that need a tighter request cap and why
Sketch a global throttler plus a per-route override
Explain the 429 response and why a distributed store matters
When a request cap earns its place
Definition
Rate limiting is justified where repeated requests are cheap for a client but expensive or dangerous for the server — login and other credential checks, search and report endpoints, and anything that triggers email, SMS, or third-party calls.
In simpler words
Cap the routes an attacker or a runaway script would hammer: logins to slow brute force, expensive reads to protect the database, and anything that costs money per call.
Login is the classic case: without a cap, an attacker can try thousands of passwords per minute against POST /auth/login.
A global default (say 100 requests/minute per client) plus a much tighter override on sensitive routes covers most APIs without micromanaging every endpoint.
100/min everywhere, 5/min on login — the sensitive route gets a stricter cap without changing the global default.
The 429 contract and what to key the limit on
Definition
A throttled request should return 429 Too Many Requests, ideally with a Retry-After hint, and the limiter must decide what identifies a client — commonly the IP, or the authenticated user id for logged-in routes — because the key determines who shares a bucket.
In simpler words
Return 429, tell the client when to try again, and pick a key (IP or user) that matches who you are actually protecting against.
AllExceptionsFilter would fold a ThrottlerException into the same ApiErrorBody shape as any other error, so clients see one consistent contract.
Keying on IP alone is blunt behind shared NATs and proxies; for authenticated routes, keying on the user id is often fairer. Trusting X-Forwarded-For requires a correctly configured trust-proxy setting.
What a throttled response looks like
HTTP/1.1 429 Too Many Requests
Retry-After: 42
{ "statusCode": 429, "error": "Too Many Requests", "message": "..." }
The client backs off using Retry-After instead of retrying immediately and making things worse.
App-level limiting is one layer, not the whole defense
Definition
Application-level throttling protects handler and database work, but it sits behind any edge that already terminates connections, so a complete strategy also considers CDN or reverse-proxy limits and pairs rate limiting with other controls rather than treating it as the sole protection.
In simpler words
Your Nest throttler guards your handlers; a proxy or CDN can shed abusive traffic before it ever reaches Node, and neither replaces authentication.
A reverse proxy or CDN can absorb volumetric floods cheaply; the app-level limiter is precise about business rules like “5 logins per minute per account”.
Rate limiting slows brute force but does not authenticate — pair it with lockouts, strong password rules, and the auth guards already in place.