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Nodejs Patterns

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WHAT: Production-ready Node.js backend patterns - Express/Fastify setup, layered architecture, middleware, error handling, validation, database integration, authentication, and caching. WHEN: User is building REST APIs, setting up Node.js servers, implementing authentication, integrating databases, adding validation/caching, or structuring backend applications. KEYWORDS: nodejs, node, express, fastify, typescript, api, rest, middleware, authentication, jwt, validation, zod, postgres, mongodb, redis, caching, rate limiting, error handling

What it does

Patterns for building scalable, maintainable Node.js backend applications with TypeScript.

The skill document

Node.js Backend Patterns

Patterns for building scalable, maintainable Node.js backend applications with TypeScript.

NEVER

  • NEVER store secrets in code - Use environment variables, never hardcode credentials
  • NEVER skip input validation - Validate all input at the middleware layer with Zod/Joi
  • NEVER expose error details in production - Return generic messages, log details server-side
  • NEVER use any type - TypeScript types prevent runtime errors
  • NEVER skip error handling - Always wrap async handlers, use global error middleware
  • NEVER use sync operations - Use async/await for I/O, never fs.readFileSync in handlers
  • NEVER trust client input - Sanitize, validate, and parameterize all queries

When to Use

  • Building REST APIs with Express or Fastify
  • Setting up middleware pipelines and error handling
  • Implementing authentication and authorization
  • Integrating databases with connection pooling and transactions
  • Adding validation, caching, and rate limiting

Project Structure — Layered Architecture

src/
├── controllers/     # Handle HTTP requests/responses
├── services/        # Business logic
├── repositories/    # Data access layer
├── models/          # Data models and types
├── middleware/      # Auth, validation, logging, errors
├── routes/          # Route definitions
├── config/          # Database, cache, env configuration
└── utils/           # Helpers, custom errors, response formatting

Controllers handle HTTP concerns, services contain business logic, repositories abstract data access. Each layer only calls the layer below it.

Express Setup

import express from "express";
import helmet from "helmet";
import cors from "cors";
import compression from "compression";

const app = express();

app.use(helmet());
app.use(cors({ origin: process.env.ALLOWED_ORIGINS?.split(",") }));
app.use(compression());
app.use(express.json({ limit: "10mb" }));
app.use(express.urlencoded({ extended: true, limit: "10mb" }));

Fastify Setup

import Fastify from "fastify";
import helmet from "@fastify/helmet";
import cors from "@fastify/cors";

const fastify = Fastify({
  logger: { level: process.env.LOG_LEVEL || "info" },
});

await fastify.register(helmet);
await fastify.register(cors, { origin: true });

// Type-safe routes with built-in schema validation
fastify.post<{ Body: { name: string; email: string } }>(
  "/users",
  {
    schema: {
      body: {
        type: "object",
        required: ["name", "email"],
        properties: {
          name: { type: "string", minLength: 1 },
          email: { type: "string", format: "email" },
        },
      },
    },
  },
  async (request) => {
    const { name, email } = request.body;
    return { id: "123", name };
  },
);

Error Handling

Custom Error Classes

export class AppError extends Error {
  constructor(
    public message: string,
    public statusCode: number = 500,
    public isOperational: boolean = true,
  ) {
    super(message);
    Object.setPrototypeOf(this, AppError.prototype);
    Error.captureStackTrace(this, this.constructor);
  }
}

export class ValidationError extends AppError {
  constructor(message: string, public errors?: any[]) { super(message, 400); }
}
export class NotFoundError extends AppError {
  constructor(message = "Resource not found") { super(message, 404); }
}
export class UnauthorizedError extends AppError {
  constructor(message = "Unauthorized") { super(message, 401); }
}
export class ForbiddenError extends AppError {
  constructor(message = "Forbidden") { super(message, 403); }
}

Global Error Handler

import { Request, Response, NextFunction } from "express";
import { AppError, ValidationError } from "../utils/errors";

export const errorHandler = (
  err: Error, req: Request, res: Response, next: NextFunction,
) => {
  if (err instanceof AppError) {
    return res.status(err.statusCode).json({
      status: "error",
      message: err.message,
      ...(err instanceof ValidationError && { errors: err.errors }),
    });
  }

  // Don't leak details in production
  const message = process.env.NODE_ENV === "production"
    ? "Internal server error"
    : err.message;

  res.status(500).json({ status: "error", message });
};

// Wrap async route handlers to forward errors
export const asyncHandler = (
  fn: (req: Request, res: Response, next: NextFunction) => Promise,
) => (req: Request, res: Response, next: NextFunction) => {
  Promise.resolve(fn(req, res, next)).catch(next);
};

Validation Middleware (Zod)

import { AnyZodObject, ZodError } from "zod";

export const validate = (schema: AnyZodObject) => {
  return async (req: Request, res: Response, next: NextFunction) => {
    try {
      await schema.parseAsync({
        body: req.body,
        query: req.query,
        params: req.params,
      });
      next();
    } catch (error) {
      if (error instanceof ZodError) {
        const errors = error.errors.map((e) => ({
          field: e.path.join("."),
          message: e.message,
        }));
        next(new ValidationError("Validation failed", errors));
      } else {
        next(error);
      }
    }
  };
};

// Usage
import { z } from "zod";
const createUserSchema = z.object({
  body: z.object({
    name: z.string().min(1),
    email: z.string().email(),
    password: z.string().min(8),
  }),
});
router.post("/users", validate(createUserSchema), userController.createUser);

Authentication — JWT

Auth Middleware

import jwt from "jsonwebtoken";

interface JWTPayload { userId: string; email: string; }

export const authenticate = async (
  req: Request, res: Response, next: NextFunction,
) => {
  try {
    const token = req.headers.authorization?.replace("Bearer ", "");
    if (!token) throw new UnauthorizedError("No token provided");

    req.user = jwt.verify(token, process.env.JWT_SECRET!) as JWTPayload;
    next();
  } catch {
    next(new UnauthorizedError("Invalid token"));
  }
};

export const authorize = (...roles: string[]) => {
  return (req: Request, res: Response, next: NextFunction) => {
    if (!req.user) return next(new UnauthorizedError("Not authenticated"));
    if (!roles.some((r) => req.user?.roles?.includes(r))) {
      return next(new ForbiddenError("Insufficient permissions"));
    }
    next();
  };
};

Auth Service

export class AuthService {
  constructor(private userRepository: UserRepository) {}

  async login(email: string, password: string) {
    const user = await this.userRepository.findByEmail(email);
    if (!user || !(await bcrypt.compare(password, user.password))) {
      throw new UnauthorizedError("Invalid credentials");
    }

    return {
      token: jwt.sign(
        { userId: user.id, email: user.email },
        process.env.JWT_SECRET!,
        { expiresIn: "15m" },
      ),
      refreshToken: jwt.sign(
        { userId: user.id },
        process.env.REFRESH_TOKEN_SECRET!,
        { expiresIn: "7d" },
      ),
      user: { id: user.id, name: user.name, email: user.email },
    };
  }
}

Database Patterns

PostgreSQL Connection Pool

import { Pool, PoolConfig } from "pg";

const pool = new Pool({
  host: process.env.DB_HOST,
  port: parseInt(process.env.DB_PORT || "5432"),
  database: process.env.DB_NAME,
  user: process.env.DB_USER,
  password: process.env.DB_PASSWORD,
  max: 20,
  idleTimeoutMillis: 30000,
  connectionTimeoutMillis: 2000,
});

pool.on("error", (err) => {
  console.error("Unexpected database error", err);
  process.exit(-1);
});

export const closeDatabase = async () => { await pool.end(); };

Transaction Pattern

async createOrder(userId: string, items: OrderItem[]) {
  const client = await this.db.connect();
  try {
    await client.query("BEGIN");

    const { rows } = await client.query(
      "INSERT INTO orders (user_id, total) VALUES ($1, $2) RETURNING id",
      [userId, calculateTotal(items)],
    );
    const orderId = rows[0].id;

    for (const item of items) {
      await client.query(
        "INSERT INTO order_items (order_id, product_id, quantity, price) VALUES ($1, $2, $3, $4)",
        [orderId, item.productId, item.quantity, item.price],
      );
      await client.query(
        "UPDATE products SET stock = stock - $1 WHERE id = $2",
        [item.quantity, item.productId],
      );
    }

    await client.query("COMMIT");
    return orderId;
  } catch (error) {
    await client.query("ROLLBACK");
    throw error;
  } finally {
    client.release();
  }
}

Rate Limiting

import rateLimit from "express-rate-limit";
import RedisStore from "rate-limit-redis";
import Redis from "ioredis";

const redis = new Redis({ host: process.env.REDIS_HOST });

export const apiLimiter = rateLimit({
  store: new RedisStore({ client: redis, prefix: "rl:" }),
  windowMs: 15 * 60 * 1000,
  max: 100,
  standardHeaders: true,
  legacyHeaders: false,
});

export const authLimiter = rateLimit({
  store: new RedisStore({ client: redis, prefix: "rl:auth:" }),
  windowMs: 15 * 60 * 1000,
  max: 5,
  skipSuccessfulRequests: true,
});

Caching with Redis

import Redis from "ioredis";

const redis = new Redis({
  host: process.env.REDIS_HOST,
  retryStrategy: (times) => Math.min(times * 50, 2000),
});

export class CacheService {
  async get(key: string): Promise {
    const data = await redis.get(key);
    return data ? JSON.parse(data) : null;
  }

  async set(key: string, value: any, ttl?: number): Promise {
    const serialized = JSON.stringify(value);
    ttl ? await redis.setex(key, ttl, serialized) : await redis.set(key, serialized);
  }

  async delete(key: string): Promise { await redis.del(key); }

  async invalidatePattern(pattern: string): Promise {
    const keys = await redis.keys(pattern);
    if (keys.length) await redis.del(...keys);
  }
}

API Response Helpers

export class ApiResponse {
  static success(res: Response, data: T, message?: string, statusCode = 200) {
    return res.status(statusCode).json({ status: "success", message, data });
  }

  static paginated(res: Response, data: T[], page: number, limit: number, total: number) {
    return res.json({
      status: "success",
      data,
      pagination: { page, limit, total, pages: Math.ceil(total / limit) },
    });
  }
}

Best Practices

  1. Use TypeScript — type safety prevents runtime errors
  2. Validate all input — Zod or Joi at the middleware layer
  3. Custom error classes — map to HTTP status codes, use global handler
  4. Never hardcode secrets — use environment variables
  5. Structured logging — Pino or Winston with request context
  6. Rate limiting — Redis-backed for distributed deployments
  7. Connection pooling — always for databases
  8. Dependency injection — constructor injection for testability
  9. Graceful shutdown — close DB pools, drain connections on SIGTERM
  10. Health checks/health endpoint for liveness/readiness probes

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