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Deployment Architecture

This document outlines the deployment architecture and strategies for the Stayzr hotel management system, covering infrastructure, environments, and operational considerations.

Deployment Overview

The Stayzr platform is designed for cloud-native deployment with the following architecture:

  • Frontend: Static site deployment (Vercel, Netlify, or CDN)
  • Backend: Containerized Node.js application
  • Database: PostgreSQL with Redis caching
  • File Storage: S3-compatible object storage
  • Load Balancing: Nginx reverse proxy

Infrastructure Requirements

Minimum System Requirements

  • CPU: 2 vCPUs per application instance
  • Memory: 4GB RAM per application instance
  • Storage: 20GB+ SSD storage for application
  • Database: PostgreSQL 15+ with 100GB+ storage
  • Network: Public IP with HTTPS capability
  • CPU: 4+ vCPUs per application instance
  • Memory: 8GB+ RAM per application instance
  • Storage: 50GB+ SSD storage
  • Database: PostgreSQL cluster with read replicas
  • CDN: CloudFlare or AWS CloudFront

Environment Architecture

Development Environment

Development Setup:
Infrastructure:
- Docker Compose for local development
- PostgreSQL container
- Redis container
- Local file storage

Configuration:
- Hot reloading enabled
- Debug logging active
- Mock external services
- Test data seeding

Staging Environment

Staging Setup:
Infrastructure:
- Production-like environment
- Shared database instance
- Redis cluster
- S3-compatible storage

Configuration:
- Production build artifacts
- Limited external service integration
- Automated testing suite
- Performance monitoring

Production Environment

Production Setup:
Infrastructure:
- Auto-scaling application instances
- High-availability database cluster
- Redis cluster with failover
- CDN for static assets
- Load balancer with SSL termination

Configuration:
- Optimized builds
- Comprehensive monitoring
- Full external service integration
- Automated backups

Container Architecture

Docker Configuration

# Backend Application Dockerfile
FROM node:20-alpine AS builder

WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production

COPY . .
RUN npm run build

FROM node:20-alpine AS runner
WORKDIR /app

RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs

COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/package.json ./package.json

USER nextjs
EXPOSE 3000

CMD ["npm", "start"]

Docker Compose Production

version: '3.8'

services:
app:
build:
context: .
dockerfile: Dockerfile.prod
environment:
NODE_ENV: production
DATABASE_URL: ${DATABASE_URL}
REDIS_URL: ${REDIS_URL}
ports:
- "3000:3000"
depends_on:
- postgres
- redis
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
interval: 30s
timeout: 10s
retries: 3

postgres:
image: postgres:15-alpine
environment:
POSTGRES_DB: stayzr
POSTGRES_USER: ${DB_USER}
POSTGRES_PASSWORD: ${DB_PASSWORD}
volumes:
- postgres_data:/var/lib/postgresql/data
ports:
- "5432:5432"
restart: unless-stopped

redis:
image: redis:7-alpine
command: redis-server --appendonly yes
volumes:
- redis_data:/data
ports:
- "6379:6379"
restart: unless-stopped

nginx:
image: nginx:alpine
ports:
- "80:80"
- "443:443"
volumes:
- ./nginx.conf:/etc/nginx/nginx.conf
- ./ssl:/etc/nginx/ssl
depends_on:
- app
restart: unless-stopped

volumes:
postgres_data:
redis_data:

Load Balancer Configuration

Nginx Configuration

upstream backend {
server app:3000;
# Add more servers for scaling
# server app2:3000;
# server app3:3000;
}

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

server {
listen 443 ssl http2;
server_name stayzr.example.com;

# SSL Configuration
ssl_certificate /etc/nginx/ssl/cert.pem;
ssl_certificate_key /etc/nginx/ssl/key.pem;
ssl_protocols TLSv1.2 TLSv1.3;

# Security headers
add_header X-Frame-Options DENY;
add_header X-Content-Type-Options nosniff;
add_header X-XSS-Protection "1; mode=block";
add_header Strict-Transport-Security "max-age=31536000";

location / {
proxy_pass http://backend;
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;
}

location /health {
proxy_pass http://backend;
access_log off;
}

# Static assets with caching
location /static/ {
expires 1y;
add_header Cache-Control "public, immutable";
}
}

Database Deployment

PostgreSQL Configuration

PostgreSQL Setup:
Version: 15+
Configuration:
- Shared buffers: 25% of RAM
- Work memory: 4MB per connection
- Maintenance work memory: 64MB
- WAL buffers: 16MB
- Checkpoint completion target: 0.9

Security:
- SSL connections required
- Row-level security enabled
- Regular security updates
- Backup encryption

Monitoring:
- Connection pooling with PgBouncer
- Query performance monitoring
- Automated backup verification
- Disk space monitoring

Redis Configuration

Redis Setup:
Version: 7+
Configuration:
- Memory policy: allkeys-lru
- Max memory: 80% of available RAM
- Persistence: AOF enabled
- Replication: Master-slave setup

Security:
- Password authentication
- Network access restrictions
- Regular security updates

Monitoring:
- Memory usage tracking
- Hit rate monitoring
- Latency measurements
- Failover testing

CI/CD Pipeline

GitHub Actions Workflow

name: Deploy to Production

on:
push:
branches: [main]
workflow_dispatch:

jobs:
build-and-test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3

- name: Setup Node.js
uses: actions/setup-node@v3
with:
node-version: '20'
cache: 'npm'

- name: Install dependencies
run: npm ci

- name: Run tests
run: npm test

- name: Build application
run: npm run build

- name: Build Docker image
run: docker build -t stayzr:${{ github.sha }} .

- name: Push to registry
run: |
echo ${{ secrets.DOCKER_PASSWORD }} | docker login -u ${{ secrets.DOCKER_USERNAME }} --password-stdin
docker push stayzr:${{ github.sha }}

deploy:
needs: build-and-test
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
steps:
- name: Deploy to production
run: |
# Deploy script here
echo "Deploying to production..."

Monitoring and Observability

Application Monitoring

Monitoring Stack:
Metrics:
- Prometheus for metrics collection
- Grafana for visualization
- Node Exporter for system metrics
- Application-specific metrics

Logging:
- Structured JSON logging
- Centralized log aggregation
- Log rotation and retention
- Error tracking and alerting

Tracing:
- Distributed request tracing
- Performance bottleneck identification
- Database query analysis
- External service monitoring

Health Checks

// Health check endpoints
export const healthChecks = {
'/health': {
description: 'Basic health check',
checks: ['server', 'memory']
},

'/health/detailed': {
description: 'Comprehensive health check',
checks: ['server', 'database', 'redis', 'external-services']
},

'/health/ready': {
description: 'Readiness probe for Kubernetes',
checks: ['database-connection', 'migrations']
}
};

Security Considerations

Infrastructure Security

  • Firewall Configuration: Restrict access to essential ports only
  • SSL/TLS: Strong cipher suites and certificate management
  • Access Control: Role-based access to infrastructure components
  • Network Segmentation: Separate networks for different environments

Application Security

  • Environment Variables: Secure storage of secrets and configuration
  • Container Security: Regular base image updates and vulnerability scanning
  • API Security: Rate limiting, input validation, and authentication
  • Data Protection: Encryption at rest and in transit

Backup and Disaster Recovery

Backup Strategy

Database Backups:
Frequency: Daily automated backups
Retention: 30 days for daily, 12 months for monthly
Testing: Monthly restore tests
Storage: Encrypted offsite storage

File Storage Backups:
Frequency: Continuous replication
Retention: 90 days
Testing: Quarterly restore tests
Storage: Multi-region replication

Application Backups:
Configuration: Version controlled
Code: Git repository with tags
Dependencies: Package lock files
Documentation: Automated generation

Disaster Recovery

Recovery Procedures:
RTO (Recovery Time Objective): 4 hours
RPO (Recovery Point Objective): 1 hour

Steps:
1. Infrastructure provisioning
2. Database restoration
3. Application deployment
4. Configuration verification
5. Service validation
6. DNS cutover

Performance Optimization

Application Performance

  • Code Optimization: Bundle optimization and tree shaking
  • Caching Strategy: Multi-layer caching implementation
  • Database Optimization: Query optimization and indexing
  • CDN Integration: Static asset delivery optimization

Infrastructure Performance

  • Auto Scaling: Horizontal pod autoscaling based on metrics
  • Load Balancing: Intelligent request distribution
  • Resource Allocation: Right-sizing of compute resources
  • Network Optimization: Efficient data transfer protocols

Cost Optimization

Resource Management

Cost Optimization Strategies:
Compute:
- Right-sizing instances
- Spot instances for development
- Scheduled scaling for predictable loads
- Reserved instances for production

Storage:
- Lifecycle policies for data archiving
- Compression for backups
- Efficient file formats
- Regular cleanup of unused data

Network:
- CDN for reduced bandwidth costs
- Efficient API designs
- Data compression
- Regional deployment optimization

Troubleshooting Guide

Common Issues

  1. Database Connection Issues

    # Check database connectivity
    pg_isready -h localhost -p 5432

    # Check connection pool status
    docker logs stayzr-app | grep "connection pool"
  2. Memory Issues

    # Monitor memory usage
    docker stats

    # Check for memory leaks
    docker exec stayzr-app node --inspect app.js
  3. Performance Issues

    # Check application metrics
    curl http://localhost:3000/metrics

    # Monitor database queries
    docker logs stayzr-postgres | grep "slow query"