Deployment Best Practices

Deploying a Feathers application to production requires careful configuration, security hardening, and performance optimization. This guide covers best practices for production deployments.

Pre-Deployment Checklist

Before deploying to production, ensure you’ve completed these critical steps:

Production Configuration

Environment-Specific Config

Create config/production.json with production settings:

{
  "host": "0.0.0.0",
  "port": 3030,
  "public": "./public/",
  "origins": [
    "https://yourdomain.com",
    "https://www.yourdomain.com"
  ],
  "paginate": {
    "default": 25,
    "max": 100
  }
}

Never commit config/production.json if it contains secrets. Use environment variables for sensitive data.

Environment Variables Mapping

Use config/custom-environment-variables.json to map environment variables:

{
  "port": {
    "__name": "PORT",
    "__format": "number"
  },
  "host": "HOSTNAME",
  "authentication": {
    "secret": "FEATHERS_SECRET"
  },
  "mongodb": "DATABASE_URL",
  "postgres": {
    "connection": "DATABASE_URL"
  }
}

Application Setup

Server Startup

Your main entry point should properly initialize the application:

// src/index.ts
import { app } from './app'
import { logger } from './logger'

const port = app.get('port')
const host = app.get('host')

const server = app.listen(port, host)

server.on('listening', () => {
  logger.info(
    `Feathers application started on http://${host}:${port}`
  )
})

process.on('unhandledRejection', (reason, promise) => {
  logger.error('Unhandled Rejection at:', promise, 'reason:', reason)
  process.exit(1)
})

process.on('uncaughtException', (error) => {
  logger.error('Uncaught Exception:', error)
  process.exit(1)
})

Graceful Shutdown

Implement graceful shutdown to cleanly close connections:

// src/index.ts
const shutdown = async (signal: string) => {
  logger.info(`${signal} received, starting graceful shutdown`)
  
  server.close(async () => {
    logger.info('HTTP server closed')
    
    try {
      await app.teardown()
      logger.info('Feathers app teardown complete')
      process.exit(0)
    } catch (error) {
      logger.error('Error during teardown:', error)
      process.exit(1)
    }
  })

  // Force shutdown after 30 seconds
  setTimeout(() => {
    logger.error('Forced shutdown after timeout')
    process.exit(1)
  }, 30000)
}

process.on('SIGTERM', () => shutdown('SIGTERM'))
process.on('SIGINT', () => shutdown('SIGINT'))

Security Best Practices

1. Authentication Secret

Use a strong, random secret for JWT signing:

# Generate a strong secret
node -e "console.log(require('crypto').randomBytes(32).toString('base64'))"

# Set as environment variable
export FEATHERS_SECRET="your-generated-secret-here"

2. CORS Configuration

Restrict origins to your actual domains:

// src/app.ts
import express from '@feathersjs/express'

app.use(cors({
  origin: app.get('origins'), // From config
  credentials: true
}))

3. Rate Limiting

Protect against brute force attacks:

npm install express-rate-limit

import rateLimit from 'express-rate-limit'

const limiter = rateLimit({
  windowMs: 15 * 60 * 1000, // 15 minutes
  max: 100, // Limit each IP to 100 requests per windowMs
  message: 'Too many requests from this IP'
})

app.use('/authentication', limiter)

4. Helmet for Security Headers

npm install helmet

import helmet from 'helmet'

app.use(helmet())

5. Data Validation

Always validate and sanitize user input:

import { hooks } from '@feathersjs/schema'

app.service('users').hooks({
  before: {
    create: [hooks.validateData(userDataSchema)],
    patch: [hooks.validateData(userPatchSchema)]
  }
})

Database Configuration

Connection Pooling

Configure appropriate connection pool settings:

// PostgreSQL with Knex
export const db = knex({
  client: 'pg',
  connection: app.get('postgres'),
  pool: {
    min: 2,
    max: 10,
    acquireTimeoutMillis: 30000,
    idleTimeoutMillis: 30000
  }
})

MongoDB Connection

import { MongoClient } from 'mongodb'

const client = await MongoClient.connect(app.get('mongodb'), {
  maxPoolSize: 10,
  minPoolSize: 2,
  maxIdleTimeMS: 30000,
  serverSelectionTimeoutMS: 5000
})

Database Cleanup on Shutdown

app.hooks({
  teardown: [
    async () => {
      // Close database connections
      await db.destroy()
      logger.info('Database connections closed')
    }
  ]
})

Performance Optimization

1. Enable Compression

npm install compression

import compression from 'compression'

app.use(compression())

2. Optimize Pagination

Set reasonable pagination limits:

{
  "paginate": {
    "default": 25,
    "max": 100
  }
}

3. Use Caching

Implement caching for frequently accessed data:

import Redis from 'ioredis'

const redis = new Redis(app.get('redis'))

app.service('users').hooks({
  after: {
    get: [
      async (context) => {
        const key = `user:${context.id}`
        await redis.setex(key, 3600, JSON.stringify(context.result))
        return context
      }
    ]
  },
  before: {
    get: [
      async (context) => {
        const key = `user:${context.id}`
        const cached = await redis.get(key)
        if (cached) {
          context.result = JSON.parse(cached)
        }
        return context
      }
    ]
  }
})

4. Database Indexes

Ensure proper indexes on frequently queried fields:

// MongoDB
await db.collection('users').createIndex({ email: 1 }, { unique: true })
await db.collection('messages').createIndex({ userId: 1, createdAt: -1 })

// PostgreSQL
await knex.schema.table('users', (table) => {
  table.index('email')
})

Platform-Specific Deployment

Docker

Create a Dockerfile:

FROM node:20-alpine

# Create app directory
WORKDIR /app

# Install dependencies
COPY package*.json ./
RUN npm ci --only=production

# Copy compiled code
COPY lib/ ./lib/
COPY public/ ./public/
COPY config/ ./config/

# Expose port
EXPOSE 3030

# Start application
CMD ["node", "lib/index.js"]

Create docker-compose.yml for local production testing:

version: '3.8'

services:
  app:
    build: .
    ports:
      - "3030:3030"
    environment:
      - NODE_ENV=production
      - PORT=3030
      - FEATHERS_SECRET=${FEATHERS_SECRET}
      - DATABASE_URL=mongodb://mongo:27017/myapp
    depends_on:
      - mongo

  mongo:
    image: mongo:7
    ports:
      - "27017:27017"
    volumes:
      - mongo-data:/data/db

volumes:
  mongo-data:

Heroku

Create a Procfile:

web: node lib/index.js

Set environment variables:

heroku config:set NODE_ENV=production
heroku config:set FEATHERS_SECRET=$(node -e "console.log(require('crypto').randomBytes(32).toString('base64'))")

AWS (Elastic Beanstalk)

Create .ebextensions/nodecommand.config:

option_settings:
  aws:elasticbeanstalk:container:nodejs:
    NodeCommand: "npm start"
  aws:elasticbeanstalk:application:environment:
    NODE_ENV: production

DigitalOcean App Platform

Create .do/app.yaml:

name: my-feathers-app
services:
- name: web
  build_command: npm run compile
  run_command: node lib/index.js
  environment_slug: node-js
  envs:
  - key: NODE_ENV
    value: production
  - key: FEATHERS_SECRET
    type: SECRET

Monitoring and Logging

Structured Logging

Use Winston or Pino for production logging:

// src/logger.ts
import winston from 'winston'

export const logger = winston.createLogger({
  level: process.env.LOG_LEVEL || 'info',
  format: winston.format.combine(
    winston.format.timestamp(),
    winston.format.json()
  ),
  transports: [
    new winston.transports.Console(),
    new winston.transports.File({ 
      filename: 'logs/error.log', 
      level: 'error' 
    }),
    new winston.transports.File({ 
      filename: 'logs/combined.log' 
    })
  ]
})

Error Tracking

Integrate error tracking (Sentry, Rollbar, etc.):

npm install @sentry/node

import * as Sentry from '@sentry/node'

if (process.env.NODE_ENV === 'production') {
  Sentry.init({
    dsn: process.env.SENTRY_DSN,
    environment: process.env.NODE_ENV
  })
}

app.hooks({
  error: {
    all: [
      async (context) => {
        if (process.env.NODE_ENV === 'production') {
          Sentry.captureException(context.error)
        }
      }
    ]
  }
})

Health Checks

Implement health check endpoints:

app.get('/health', async (req, res) => {
  try {
    // Check database connection
    await db.raw('SELECT 1')
    
    res.json({
      status: 'healthy',
      uptime: process.uptime(),
      timestamp: Date.now()
    })
  } catch (error) {
    res.status(503).json({
      status: 'unhealthy',
      error: error.message
    })
  }
})

SSL/TLS Configuration

Using HTTPS

For production, use HTTPS:

import https from 'https'
import fs from 'fs'

const options = {
  key: fs.readFileSync(app.get('ssl').key),
  cert: fs.readFileSync(app.get('ssl').cert)
}

const server = https.createServer(options, app)
server.listen(port)

Reverse Proxy (Recommended)

In most cases, use a reverse proxy like Nginx:

server {
  listen 80;
  server_name yourdomain.com;
  return 301 https://$server_name$request_uri;
}

server {
  listen 443 ssl http2;
  server_name yourdomain.com;

  ssl_certificate /path/to/cert.pem;
  ssl_certificate_key /path/to/key.pem;

  location / {
    proxy_pass http://localhost:3030;
    proxy_http_version 1.1;
    proxy_set_header Upgrade $http_upgrade;
    proxy_set_header Connection 'upgrade';
    proxy_set_header Host $host;
    proxy_set_header X-Real-IP $remote_addr;
    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
    proxy_set_header X-Forwarded-Proto $scheme;
    proxy_cache_bypass $http_upgrade;
  }
}

Scaling Considerations

Horizontal Scaling

When running multiple instances, use a message queue for real-time events:

npm install @feathersjs/transport-commons

Configure Redis for pub/sub:

import Redis from 'ioredis'

const pub = new Redis(app.get('redis'))
const sub = new Redis(app.get('redis'))

// Sync events across instances
app.on('publish', (event) => {
  pub.publish('feathers-events', JSON.stringify(event))
})

sub.subscribe('feathers-events')
sub.on('message', (channel, message) => {
  const event = JSON.parse(message)
  app.emit(event.name, event.data)
})

Process Management

Use PM2 for process management:

npm install -g pm2

Create ecosystem.config.js:

module.exports = {
  apps: [{
    name: 'feathers-app',
    script: './lib/index.js',
    instances: 'max',
    exec_mode: 'cluster',
    env: {
      NODE_ENV: 'production'
    }
  }]
}

Start with PM2:

pm2 start ecosystem.config.js
pm2 save
pm2 startup

Continuous Deployment

GitHub Actions Example

# .github/workflows/deploy.yml
name: Deploy to Production

on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    
    steps:
    - uses: actions/checkout@v3
    
    - name: Setup Node.js
      uses: actions/setup-node@v3
      with:
        node-version: '20'
    
    - name: Install dependencies
      run: npm ci
    
    - name: Run tests
      run: npm test
    
    - name: Build
      run: npm run compile
    
    - name: Deploy to server
      run: |
        # Your deployment commands

Post-Deployment

After deployment:

Verify health checks - Ensure the application is responding
Check logs - Monitor for errors or warnings
Test critical paths - Verify authentication, key services
Monitor performance - Watch CPU, memory, response times
Set up alerts - Configure monitoring alerts

​Pre-Deployment Checklist

​Production Configuration

​Environment-Specific Config

​Environment Variables Mapping

​Application Setup

​Server Startup

​Graceful Shutdown

​Security Best Practices

​1. Authentication Secret

​2. CORS Configuration

​3. Rate Limiting

​4. Helmet for Security Headers

​5. Data Validation

​Database Configuration

​Connection Pooling

​MongoDB Connection

​Database Cleanup on Shutdown

​Performance Optimization

​1. Enable Compression

​2. Optimize Pagination

​3. Use Caching

​4. Database Indexes

​Platform-Specific Deployment

​Docker

​Heroku

​AWS (Elastic Beanstalk)

​DigitalOcean App Platform

​Monitoring and Logging

​Structured Logging

​Error Tracking

​Health Checks

​SSL/TLS Configuration

​Using HTTPS

​Reverse Proxy (Recommended)

​Scaling Considerations

​Horizontal Scaling

​Process Management

​Continuous Deployment

​GitHub Actions Example

​Post-Deployment

​Related Resources

Pre-Deployment Checklist

Production Configuration

Environment-Specific Config

Environment Variables Mapping

Application Setup

Server Startup

Graceful Shutdown

Security Best Practices

1. Authentication Secret

2. CORS Configuration

3. Rate Limiting

4. Helmet for Security Headers

5. Data Validation

Database Configuration

Connection Pooling

MongoDB Connection

Database Cleanup on Shutdown

Performance Optimization

1. Enable Compression

2. Optimize Pagination

3. Use Caching

4. Database Indexes

Platform-Specific Deployment

Docker

Heroku

AWS (Elastic Beanstalk)

DigitalOcean App Platform

Monitoring and Logging

Structured Logging

Error Tracking

Health Checks

SSL/TLS Configuration

Using HTTPS

Reverse Proxy (Recommended)

Scaling Considerations

Horizontal Scaling

Process Management

Continuous Deployment

GitHub Actions Example

Post-Deployment

Related Resources