Rate Limiting — Complete Guide
Rate Limiting — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of MEAN Stack Tutorial on Toolliyo Academy.
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MEAN Stack Tutorial · Lesson 59 of 100
Rate Limiting
Stack ✓ → Projects
Projects · 2 — Apps · ~10 min · MEAN — Authentication & Security
What is this?
Rate limiting caps requests per IP or user — protecting MeanVerse login and transfer endpoints from abuse.
Why should you care?
Credential stuffing and DDoS can overwhelm MongoDB and Express without throttles.
See it live — copy this example
Paste into your MeanVerse project (Angular + Express + MongoDB), then run with ng serve / node / mongosh as noted.
import rateLimit from 'express-rate-limit';
import RedisStore from 'rate-limit-redis';
import { createClient } from 'redis';
const redis = createClient({ url: process.env.REDIS_URL });
await redis.connect();
export const authLimiter = rateLimit({
store: new RedisStore({ sendCommand: (...args) => redis.sendCommand(args) }),
windowMs: 15 * 60 * 1000,
max: 10,
standardHeaders: true,
message: { code: 'RATE_LIMIT', message: 'Too many login attempts' }
});
app.use('/api/auth/login', authLimiter);
What happened?
- Redis store shares counters across API pods.
- 10 attempts per 15 minutes per key.
- standardHeaders sends Retry-After for clients.
Practice next
- Apply strict limit on /auth/login and /auth/forgot.
- Looser limit on general /api with user id key after auth.
- Return 429 JSON consistent with ApiError.
- Key limiter by user id after JWT parsed.
- Add sliding window for transfer endpoint.
Remember
Rate limit at edge or Express. Redis backend for distributed counts. Different limits for auth vs read APIs.
Login attack
10k password guesses/min hit MeanVerse auth.
Outcome: 429 responses; account lockout policy triggers alerts.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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