Node.js Performance Optimization

# Node.js Performance Optimization Node.js performance can be dramatically improved with the right techniques. Let's explore proven optimization strategies. ## Use Asynchronous Operations Always prefer async operations over synchronous: ```javascript // Bad - Blocks event loop const data = fs.readFileSync('file.txt'); // Good - Non-blocking const data = await fs.promises.readFile('file.txt'); ``` ## Connection Pooling Reuse database connections: ```javascript const pool = new Pool({ max: 20, min: 5, idleTimeoutMillis: 30000 }); async function query(sql) { const client = await pool.connect(); try { return await client.query(sql); } finally { client.release(); } } ``` ## Caching Strategies Implement caching to reduce computation: ```javascript const cache = new Map(); async function getCachedData(key) { if (cache.has(key)) { return cache.get(key); } const data = await fetchExpensiveData(key); cache.set(key, data); return data; } ``` ## Use Streams Stream large files instead of loading into memory: ```javascript const readStream = fs.createReadStream('large-file.txt'); const writeStream = fs.createWriteStream('output.txt'); readStream.pipe(writeStream); ``` ## Cluster Mode Utilize all CPU cores: ```javascript const cluster = require('cluster'); const numCPUs = require('os').cpus().length; if (cluster.isMaster) { for (let i = 0; i < numCPUs; i++) { cluster.fork(); } } else { startServer(); } ``` ## Profiling Use built-in profiler to identify bottlenecks: ```bash node --prof app.js node --prof-process isolate-0x*.log > processed.txt ``` Performance optimization is an ongoing process. Measure, optimize, and measure again.