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Building Scalable APIs with Node.js

Best practices for designing and building scalable, maintainable REST APIs with Node.js and Express, including error handling, validation, and performance optimization.

Node.jsBackendAPI
Building Scalable APIs with Node.js

Introduction

Building scalable APIs is one of the most important skills for a backend developer. In this post, I’ll share my experience and best practices from building APIs that handle thousands of requests per second at Sohagame.

1. Project Structure

A well-organized project structure is the foundation of maintainable code:

src/
├── controllers/    # Request handlers
├── services/       # Business logic
├── models/         # Data models
├── middleware/      # Custom middleware
├── routes/         # Route definitions
├── utils/          # Helper functions
└── config/         # Configuration

2. Error Handling

Always implement a centralized error handler:

class AppError extends Error {
  constructor(message, statusCode) {
    super(message);
    this.statusCode = statusCode;
    this.isOperational = true;
  }
}

// Global error middleware
app.use((err, req, res, next) => {
  const statusCode = err.statusCode || 500;
  res.status(statusCode).json({
    status: 'error',
    message: err.isOperational ? err.message : 'Internal server error',
  });
});

3. Input Validation

Use libraries like Joi or Zod for request validation:

const createUserSchema = z.object({
  name: z.string().min(2).max(100),
  email: z.string().email(),
  role: z.enum(['admin', 'user']).default('user'),
});

4. Rate Limiting & Caching

For high-traffic APIs, always implement rate limiting and caching:

  • Rate limiting: Use express-rate-limit to prevent abuse
  • Caching: Redis for frequently accessed data
  • Response compression: Use compression middleware

Conclusion

These patterns have helped me build APIs that scale to handle millions of requests. The key is starting with a solid foundation and iterating based on real-world metrics.

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