Skip to main content

Deployment Guide

Deploy your generated APIs to production with confidence.

Learn how to deploy your Endora-generated APIs to various platforms and environments, from development to production.

🎯 What You'll Learn​

  • ✅ Deployment options and strategies
  • ✅ Environment configuration
  • ✅ Production best practices
  • ✅ Monitoring and maintenance
  • ✅ Scaling and optimization

📹 Deployment Overview​

🎥 Deployment Options and Strategies

Replace this placeholder with your deployment overview video

Explore the different deployment options available for your Endora-generated APIs.

🚀 Deployment Options​

Endora Cloud Platform​

  • Automatic Deployment: Deploy with a single click
  • Global CDN: Fast response times worldwide
  • Auto-scaling: Handles traffic spikes automatically
  • 99.9% Uptime: Enterprise-grade reliability

Third-party Cloud Providers​

  • AWS: Amazon Web Services integration
  • Google Cloud: Google Cloud Platform support
  • Azure: Microsoft Azure deployment
  • DigitalOcean: Simple cloud deployment

Self-hosted Deployment​

Docker Containers​

FROM node:18-alpine
WORKDIR /app
COPY . .
RUN npm install
EXPOSE 3000
CMD ["npm", "start"]

Traditional Servers​

  • VPS Deployment: Deploy to virtual private servers
  • Dedicated Servers: Full control over hardware
  • On-premises: Deploy in your own data center

📹 Cloud Deployment Process​

🎥 Deploying to Endora Cloud

Replace this placeholder with your cloud deployment demonstration

Learn how to deploy your API to Endora's cloud platform with automatic scaling and monitoring.

🚀 Production Deployment​

Step 1: Prepare Your API​

Pre-deployment Checklist​

  • ✅ Test All Endpoints: Verify functionality in staging
  • ✅ Configure Security: Set up authentication and rate limiting
  • ✅ Optimize Performance: Add indexes and caching
  • ✅ Set Up Monitoring: Configure alerts and logging
  • ✅ Backup Strategy: Plan for data backup and recovery

Environment Configuration​

# Production environment variables
NODE_ENV=production
DATABASE_URL=postgresql://user:pass@host:port/db
API_KEY=your_production_api_key
RATE_LIMIT=1000
CORS_ORIGINS=https://yourdomain.com

Step 2: Choose Deployment Method​

  1. Click "Deploy": In your project dashboard
  2. Select Region: Choose deployment location
  3. Configure Settings: Set production parameters
  4. Deploy: One-click deployment to production

Option 2: Docker Deployment​

# Build Docker image
docker build -t your-api .

# Run container
docker run -p 3000:3000 \
  -e DATABASE_URL=your_db_url \
  -e API_KEY=your_api_key \
  your-api

Option 3: Traditional Server​

# Install dependencies
npm install --production

# Start application
pm2 start app.js --name "your-api"

# Configure reverse proxy
# nginx configuration for SSL and load balancing

📹 Production Configuration​

🎥 Configuring Production Environment

Replace this placeholder with your production configuration demonstration

Learn how to configure your API for production deployment with proper security and performance settings.

🔒 Production Security​

Security Checklist​

  • ✅ HTTPS Only: Enforce SSL/TLS encryption
  • ✅ API Key Rotation: Regular key rotation schedule
  • ✅ Rate Limiting: Configure appropriate limits
  • ✅ Input Validation: Validate all inputs
  • ✅ SQL Injection Prevention: Use parameterized queries
  • ✅ CORS Configuration: Restrict cross-origin requests
  • ✅ Monitoring: Set up security monitoring

Environment Security​

# Secure environment variables
export NODE_ENV=production
export DATABASE_URL=postgresql://user:pass@host:port/db
export JWT_SECRET=your_jwt_secret
export API_KEY=your_secure_api_key
export RATE_LIMIT=1000
export CORS_ORIGINS=https://yourdomain.com,https://app.yourdomain.com

📹 Security Configuration​

🎥 Securing Production Deployment

Replace this placeholder with your security configuration demonstration

Learn how to secure your production API deployment with proper authentication, encryption, and monitoring.

📊 Monitoring and Analytics​

Built-in Monitoring​

Performance Metrics​

  • Response Times: Track API performance
  • Throughput: Monitor request volume
  • Error Rates: Track and analyze errors
  • Uptime: Monitor service availability

Usage Analytics​

  • Request Patterns: Understand usage trends
  • Geographic Distribution: See where requests come from
  • Peak Usage: Identify high-traffic periods
  • User Behavior: Analyze API usage patterns

Custom Monitoring​

Application Performance Monitoring (APM)​

// Example APM integration
const apm = require('elastic-apm-node');

apm.start({
  serviceName: 'your-api',
  serverUrl: 'https://apm-server:8200',
  environment: 'production'
});

Logging Configuration​

// Structured logging
const winston = require('winston');

const logger = winston.createLogger({
  level: 'info',
  format: winston.format.json(),
  transports: [
    new winston.transports.File({ filename: 'error.log', level: 'error' }),
    new winston.transports.File({ filename: 'combined.log' })
  ]
});

📹 Monitoring Setup​

🎥 Setting Up Monitoring and Analytics

Replace this placeholder with your monitoring setup demonstration

Learn how to configure comprehensive monitoring and analytics for your production API.

🚀 Scaling and Performance​

Auto-scaling Configuration​

Horizontal Scaling​

  • Load Balancers: Distribute traffic across instances
  • Container Orchestration: Kubernetes or Docker Swarm
  • Database Scaling: Read replicas and connection pooling
  • CDN Integration: Global content delivery

Vertical Scaling​

  • Resource Optimization: CPU and memory tuning
  • Database Optimization: Query optimization and indexing
  • Caching Strategies: Redis or Memcached integration
  • Connection Pooling: Optimize database connections

Performance Optimization​

Database Optimization​

-- Add indexes for frequently queried columns
CREATE INDEX idx_users_email ON users(email);
CREATE INDEX idx_posts_author_id ON posts(author_id);
CREATE INDEX idx_orders_created_at ON orders(created_at);

-- Optimize queries
EXPLAIN ANALYZE SELECT * FROM users WHERE email = 'user@example.com';

Caching Implementation​

// Redis caching example
const redis = require('redis');
const client = redis.createClient();

// Cache frequently accessed data
async function getCachedUser(userId) {
  const cached = await client.get(`user:${userId}`);
  if (cached) return JSON.parse(cached);
  
  const user = await db.users.findById(userId);
  await client.setex(`user:${userId}`, 3600, JSON.stringify(user));
  return user;
}

📹 Performance Optimization​

🎥 Optimizing API Performance

Replace this placeholder with your performance optimization demonstration

Learn advanced techniques for optimizing your API's performance and scalability.

🔧 Maintenance and Updates​

Regular Maintenance​

Weekly Tasks​

  • Monitor Performance: Check response times and error rates
  • Review Logs: Analyze error logs and security events
  • Update Dependencies: Keep libraries and frameworks current
  • Backup Verification: Ensure backups are working correctly

Monthly Tasks​

  • Security Audit: Review security configurations
  • Performance Analysis: Analyze usage patterns and optimize
  • Capacity Planning: Plan for future growth
  • Documentation Updates: Keep documentation current

Update Procedures​

Zero-downtime Deployment​

# Blue-green deployment
# 1. Deploy to staging environment
# 2. Run tests and validation
# 3. Switch traffic to new version
# 4. Monitor for issues
# 5. Rollback if necessary

Rollback Strategy​

# Quick rollback procedure
# 1. Identify the issue
# 2. Switch traffic back to previous version
# 3. Investigate and fix the problem
# 4. Re-deploy when ready

📹 Maintenance Procedures​

🎥 API Maintenance and Updates

Replace this placeholder with your maintenance procedures demonstration

Learn how to maintain and update your production API with minimal downtime.

🎯 Best Practices​

Deployment Best Practices​

Use Environment Variables

Store configuration in environment variables, not in code

Implement Health Checks

Add health check endpoints for monitoring

Use HTTPS Everywhere

Always use SSL/TLS in production

Monitor Everything

Set up comprehensive monitoring and alerting

Security Best Practices​

Rotate Keys Regularly

Change API keys and secrets periodically

Implement Rate Limiting

Protect against abuse and ensure fair usage

Validate All Inputs

Never trust user input, always validate

Keep Dependencies Updated

Regularly update libraries and frameworks

🚀 Next Steps​

Your API is Deployed!​

After successful deployment:

  1. Monitor Performance: Track metrics and usage patterns
  2. Set Up Alerts: Configure notifications for issues
  3. Plan Scaling: Prepare for traffic growth
  4. Regular Maintenance: Keep your API updated and secure

Learn More​

Advanced Topics​

Ready to scale your API? Learn about performance optimization → 🚀