Node.js
API
Backend
Building Scalable APIs with Node.js and Express
Learn how to design and build robust, scalable REST APIs using Node.js and Express, with best practices for authentication, error handling, and performance optimization.
ā¢š¤ David Rodriguezā¢ā±ļø 15 min read
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#nodejs
#express
#api
#backend
#scalability
Building Scalable APIs with Node.js and Express
Creating APIs that can handle growth and scale with your application is crucial for long-term success. In this guide, we'll explore best practices for building robust APIs with Node.js and Express.
Project Architecture
Start with a well-organized structure:
src/
āāā controllers/
āāā middleware/
āāā models/
āāā routes/
āāā services/
āāā utils/
āāā app.js
Express Setup
const express = require('express');
const helmet = require('helmet');
const cors = require('cors');
const compression = require('compression');
const app = express();
// Security middleware
app.use(helmet());
app.use(cors());
// Performance middleware
app.use(compression());
app.use(express.json(\{ limit: '10mb' \}));
Error Handling
Implement comprehensive error handling:
const errorHandler = (err, req, res, next) => \{
let error = { ...err \};
error.message = err.message;
// Log error
console.error(err);
// Mongoose bad ObjectId
if (err.name === 'CastError') \{
const message = 'Resource not found';
error = { message, statusCode: 404 \};
}
res.status(error.statusCode || 500).json(\{
success: false,
error: error.message || 'Server Error'
\});
};
Database Integration
Use proper connection pooling and error handling:
const mongoose = require('mongoose');
const connectDB = async () => \{
try {
const conn = await mongoose.connect(process.env.MONGO_URI, {
maxPoolSize: 10,
serverSelectionTimeoutMS: 5000,
socketTimeoutMS: 45000,
\});
console.log(`MongoDB Connected: $\{conn.connection.host\}`);
} catch (error) \{
console.error('Database connection failed:', error);
process.exit(1);
\}
};
Performance Optimization
- Caching: Implement Redis for frequently accessed data
- Rate Limiting: Protect against abuse
- Compression: Reduce response sizes
- Database Indexing: Optimize query performance
Security Best Practices
- Use HTTPS in production
- Implement proper authentication
- Sanitize user inputs
- Set appropriate CORS policies
- Use environment variables for secrets
Following these patterns will help you build APIs that can grow with your application.