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Node.js Performance Tips: From 100 to 10,000 Requests Per Second

#backend #javascript #node #performance

Most Node.js apps can handle more than you think. Here's how to squeeze out real performance gains.

Quick Wins First

1. Enable Compression 

import compression from 'compression';
app.use(compression());
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Gives you 2-3x throughput improvement instantly.

2. Use Clusters

Node.js runs single-threaded. Use all CPU cores:

import { cluster } from 'node:cluster';
const numCPUs = os.cpus().length;

if (cluster.isPrimary) {
  for (let i = 0; i < numCPUs; i++) {
    cluster.fork();
  }
} else {
  app.listen(3000);
}
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3. Database Connection Pooling

Don't open a new DB connection per request. Use a pool:

const pool = new Pool({ max: 20, idleTimeoutMillis: 30000 });
// Reuse connections across requests
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Harder Problems

Memory Leaks

Use --inspect and Chrome DevTools to find leaks. Common causes:

  • Event listeners not cleaned up
  • Global caches growing unbounded
  • Closures holding references

N+1 Queries 

// Bad: N+1
const users = await db.query('SELECT * FROM users');
for (const user of users) {
  user.posts = await db.query('SELECT * FROM posts WHERE user_id = ?', user.id);
}

// Good: Join
const users = await db.query(`
  SELECT u.*, p.title as post_title 
  FROM users u 
  LEFT JOIN posts p ON u.id = p.user_id
`);
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Benchmarking

Always measure before optimizing:

npx autocannon http://localhost:3000/api
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Find the actual bottleneck before assuming you know what it is. When debugging Node.js services, ExtensionBooster's developer toolkit includes performance profiling tools.

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