📋 Deployment Overview

📋 Overview

This page provides a comprehensive overview of the complete deployment process, from development to production, including monitoring, troubleshooting, and best practices for maintaining a reliable LIPAIX platform.

🚀 Complete Deployment Pipeline

1. Development Phase

# Developer workflow
git checkout -b feature/new-feature
# ... develop feature ...
git commit -m "feat: implement new feature"
git push origin feature/new-feature

# Create pull request
# Code review and approval
# Merge to main branch

2. Automated Testing

GitHub Actions automatically runs:

# .github/workflows/test.yml
name: Test and Build

on: [push, pull_request]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-node@v3
        with:
          node-version: '18'
          cache: 'pnpm'
      
      - run: pnpm install
      - run: pnpm run lint
      - run: pnpm run test
      - run: pnpm run build

3. Deployment Trigger

Every merge to main triggers:

1. Build Verification - Ensure code compiles
2. Test Execution - Run full test suite
3. Security Scanning - Check for vulnerabilities
4. Railway Deployment - Deploy to production

4. Production Deployment

Railway automatically:

# Railway deployment process
pnpm install          # Install dependencies
pnpm run build        # Build application
pnpm run start        # Start service
# Health checks
# Traffic routing
# Monitoring setup

📊 Monitoring & Observability

Health Check Endpoints

// apps/web/src/app/api/health/route.ts
export async function GET() {
  try {
    // Database health check
    await db.query('SELECT 1')
    
    // External service checks
    const discordHealth = await checkDiscordAPI()
    const redisHealth = await checkRedisConnection()
    
    return NextResponse.json({
      status: 'healthy',
      timestamp: new Date().toISOString(),
      services: {
        database: 'healthy',
        discord: discordHealth ? 'healthy' : 'unhealthy',
        redis: redisHealth ? 'healthy' : 'unhealthy'
      },
      uptime: process.uptime(),
      version: process.env.npm_package_version
    })
  } catch (error) {
    return NextResponse.json(
      {
        status: 'unhealthy',
        error: error.message,
        timestamp: new Date().toISOString()
      },
      { status: 503 }
    )
  }
}

Performance Metrics

We track key performance indicators:

// Performance monitoring
export function trackPerformance(metric: string, value: number) {
  // Send to monitoring service
  console.log(`[PERF] ${metric}: ${value}ms`)
  
  // Track in metrics
  if (global.metrics) {
    global.metrics.histogram(metric, value)
  }
}

// Usage in API routes
export async function GET(request: NextRequest) {
  const start = Date.now()
  
  try {
    const result = await processRequest(request)
    
    // Track performance
    trackPerformance('api_response_time', Date.now() - start)
    
    return NextResponse.json(result)
  } catch (error) {
    // Track errors
    trackPerformance('api_error_rate', 1)
    throw error
  }
}

🔄 Rollback Strategy

Quick Rollback Process

When issues are detected:

1. Immediate Response

   # Stop current deployment
   railway service stop web
   
   # Rollback to previous version
   railway rollback web

2. Investigation

   # Check logs for errors
   railway logs --service web --follow
   
   # Analyze metrics
   railway metrics --service web

3. Fix and Redeploy

   # Fix the issue
   git commit -m "fix: resolve critical issue"
   git push origin main
   
   # Railway automatically redeploys

Database Rollback

For data-related issues:

-- Point-in-time recovery
-- Railway provides automated backups

-- Restore from backup if needed
-- Contact Railway support for assistance

🚨 Incident Response

Severity Levels

1. Critical (P0)

   • Service completely unavailable
   • Data loss or corruption
   • Security breach

2. High (P1)

   • Major functionality broken
   • Performance severely degraded
   • Multiple users affected

3. Medium (P2)

   • Minor functionality issues
   • Performance degradation
   • Limited user impact

4. Low (P3)

   • Cosmetic issues
   • Documentation updates
   • Minor improvements

Response Timeline

• P0: Immediate response (within 15 minutes)
• P1: Response within 1 hour
• P2: Response within 4 hours
• P3: Response within 24 hours

🔧 Maintenance Procedures

Regular Maintenance

# Weekly health checks
railway service list
railway logs --service web --limit 100

# Monthly performance review
railway metrics --service web --period 30d

# Quarterly security audit
npm audit
pnpm audit

Dependency Updates

# Check for updates
pnpm outdated

# Update dependencies
pnpm update

# Test after updates
pnpm run test
pnpm run build

# Deploy if tests pass
git commit -m "chore: update dependencies"
git push origin main

📈 Scaling Strategies

Horizontal Scaling

Railway automatically scales based on:

// Auto-scaling triggers
const scalingConfig = {
  cpuThreshold: 80,        // Scale up at 80% CPU
  memoryThreshold: 85,     // Scale up at 85% memory
  requestThreshold: 1000,  // Scale up at 1000 req/min
  responseTimeThreshold: 500 // Scale up at 500ms response
}

Load Balancing

// Health check for load balancer
app.get('/health', (req, res) => {
  const health = {
    status: 'healthy',
    timestamp: new Date().toISOString(),
    instance: process.env.RAILWAY_REPLICA_ID || 'unknown',
    version: process.env.npm_package_version
  }
  
  res.json(health)
})

🔒 Security Considerations

Environment Security

# Never expose secrets in logs
console.log('Database connected')  # ✅ Good
console.log('DB URL:', process.env.DATABASE_URL)  # ❌ Bad

# Use secure headers
app.use(helmet())
app.use(cors({
  origin: process.env.ALLOWED_ORIGINS?.split(',') || []
}))

Access Control

// API rate limiting
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('/api/', limiter)

📚 Best Practices Summary

Deployment Best Practices

• ✅ Automate everything - Manual deployments are error-prone
• ✅ Test in production-like environments - Staging is crucial
• ✅ Monitor continuously - Visibility prevents issues
• ✅ Plan for failure - Have rollback strategies ready
• ✅ Document procedures - Clear processes reduce errors

Monitoring Best Practices

• ✅ Set up alerts - Proactive issue detection
• ✅ Track business metrics - Beyond technical metrics
• ✅ Log everything - Structured logging for debugging
• ✅ Use health checks - Service availability monitoring
• ✅ Monitor dependencies - External service health

Security Best Practices

• ✅ Principle of least privilege - Minimal access required
• ✅ Regular security audits - Ongoing vulnerability assessment
• ✅ Secrets management - Never commit secrets
• ✅ Input validation - Validate all user inputs
• ✅ HTTPS everywhere - Encrypt all communications