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
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Node.js Backend Patterns
Patterns for building scalable, maintainable Node.js backend applications with TypeScript.
Installation
OpenClaw / Moltbot / Clawbot
npx clawhub@latest install nodejs-patterns
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
anytype - 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.readFileSyncin 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<any>,
) => (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<T>(key: string): Promise<T | null> {
const data = await redis.get(key);
return data ? JSON.parse(data) : null;
}
async set(key: string, value: any, ttl?: number): Promise<void> {
const serialized = JSON.stringify(value);
ttl ? await redis.setex(key, ttl, serialized) : await redis.set(key, serialized);
}
async delete(key: string): Promise<void> { await redis.del(key); }
async invalidatePattern(pattern: string): Promise<void> {
const keys = await redis.keys(pattern);
if (keys.length) await redis.del(...keys);
}
}
API Response Helpers
export class ApiResponse {
static success<T>(res: Response, data: T, message?: string, statusCode = 200) {
return res.status(statusCode).json({ status: "success", message, data });
}
static paginated<T>(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
- Use TypeScript — type safety prevents runtime errors
- Validate all input — Zod or Joi at the middleware layer
- Custom error classes — map to HTTP status codes, use global handler
- Never hardcode secrets — use environment variables
- Structured logging — Pino or Winston with request context
- Rate limiting — Redis-backed for distributed deployments
- Connection pooling — always for databases
- Dependency injection — constructor injection for testability
- Graceful shutdown — close DB pools, drain connections on SIGTERM
- Health checks —
/healthendpoint for liveness/readiness probes