9.2 KiB
9.2 KiB
Deployment Guide - Developers
This guide covers deploying ALwrity in various environments, from development to production, with best practices for scalability, security, and monitoring.
🎯 What You'll Accomplish
By the end of this guide, you'll have:
- ✅ Deployed ALwrity in your preferred environment
- ✅ Configured production-ready settings
- ✅ Implemented monitoring and logging
- ✅ Set up CI/CD pipelines for automated deployments
⏱️ Time Required: 2-3 hours
🚀 Deployment Options
Self-Hosted Deployment
Docker Deployment
The easiest way to deploy ALwrity is using Docker:
Quick Start
# Clone the repository
git clone https://github.com/AJaySi/ALwrity.git
cd ALwrity
# Start with Docker Compose
docker-compose up -d
What This Includes
- Backend API: FastAPI application with all endpoints
- Frontend: React application with Material-UI
- Database: PostgreSQL for data storage
- Redis: For caching and session management
- Nginx: Reverse proxy and load balancer
Kubernetes Deployment
For production environments, use Kubernetes:
Key Benefits
- High Availability: Automatic failover and recovery
- Scalability: Auto-scaling based on demand
- Load Balancing: Distribute traffic across instances
- Resource Management: Efficient resource allocation
Deployment Steps
- Create Kubernetes Cluster - Set up your K8s cluster
- Apply Configurations - Deploy ALwrity using K8s manifests
- Configure Ingress - Set up external access
- Monitor Deployment - Track deployment status
Cloud Deployment
AWS Deployment
Deploy ALwrity on Amazon Web Services:
Recommended Architecture
- ECS/Fargate: Container orchestration
- RDS: Managed PostgreSQL database
- ElastiCache: Redis for caching
- Application Load Balancer: Traffic distribution
- CloudFront: CDN for static assets
Benefits
- Managed Services: Reduce operational overhead
- Auto-scaling: Handle traffic spikes automatically
- High Availability: Multi-AZ deployment
- Security: AWS security best practices
Google Cloud Deployment
Deploy on Google Cloud Platform:
Recommended Services
- Cloud Run: Serverless container platform
- Cloud SQL: Managed PostgreSQL
- Memorystore: Managed Redis
- Cloud Load Balancing: Global load balancing
- Cloud CDN: Content delivery network
Advantages
- Serverless: Pay only for what you use
- Global Scale: Deploy across multiple regions
- Integrated Services: Seamless integration with GCP services
📊 Production Configuration
Environment Variables
Configure your production environment:
Essential Variables
# Database
DATABASE_URL=postgresql://user:password@localhost:5432/alwrity
REDIS_URL=redis://localhost:6379
# API Keys
GEMINI_API_KEY=your_gemini_api_key
OPENAI_API_KEY=your_openai_api_key
# Security
SECRET_KEY=your_secret_key_here
JWT_SECRET_KEY=your_jwt_secret_key
# Monitoring
SENTRY_DSN=your_sentry_dsn
Security Best Practices
- Use Environment Variables: Never hardcode sensitive data
- Rotate Keys Regularly: Change API keys periodically
- Use Secrets Management: Store secrets securely
- Enable Encryption: Encrypt data at rest and in transit
Database Configuration
Optimize your database for production:
PostgreSQL Settings
- Connection Pooling: Configure appropriate pool sizes
- Backup Strategy: Regular automated backups
- Monitoring: Track database performance
- Indexing: Optimize query performance
Redis Configuration
- Memory Management: Configure appropriate memory limits
- Persistence: Set up data persistence
- Clustering: Use Redis Cluster for high availability
- Monitoring: Track Redis performance
Nginx Configuration
Set up reverse proxy and load balancing:
Key Features
- SSL Termination: Handle HTTPS encryption
- Load Balancing: Distribute traffic across backend instances
- Rate Limiting: Prevent abuse and attacks
- Security Headers: Add security headers to responses
Performance Optimization
- Gzip Compression: Compress responses
- Static File Caching: Cache static assets
- Connection Pooling: Reuse connections
- Buffer Optimization: Optimize buffer sizes
🚀 CI/CD Pipeline Setup
GitHub Actions
Automate your deployment process:
Pipeline Stages
- Test: Run automated tests
- Build: Build Docker images
- Deploy: Deploy to production
- Monitor: Verify deployment success
Key Features
- Automated Testing: Run tests on every commit
- Docker Builds: Build and push container images
- Environment Deployment: Deploy to different environments
- Rollback Capability: Quick rollback on failures
GitLab CI/CD
Alternative CI/CD solution:
Pipeline Configuration
- Multi-stage Pipelines: Separate build, test, and deploy stages
- Docker Integration: Build and push container images
- Environment Management: Deploy to different environments
- Security Scanning: Automated security checks
🚀 Monitoring and Logging
Application Monitoring
Track your application performance:
Key Metrics
- Response Times: API endpoint performance
- Error Rates: Track application errors
- Resource Usage: CPU, memory, disk usage
- User Activity: Track user interactions
Monitoring Tools
- Prometheus: Metrics collection and storage
- Grafana: Visualization and dashboards
- Sentry: Error tracking and performance monitoring
- DataDog: Comprehensive monitoring platform
Logging Configuration
Set up comprehensive logging:
Log Levels
- DEBUG: Detailed debugging information
- INFO: General application information
- WARNING: Warning messages
- ERROR: Error conditions
- CRITICAL: Critical errors
Log Management
- Centralized Logging: Aggregate logs from all services
- Log Rotation: Manage log file sizes
- Log Analysis: Search and analyze log data
- Alerting: Set up log-based alerts
Health Checks
Monitor application health:
Health Check Endpoints
- Basic Health: Simple application status
- Detailed Health: Check all dependencies
- Readiness Check: Verify application is ready to serve traffic
- Liveness Check: Verify application is running
Monitoring Integration
- Kubernetes Probes: Use health checks for K8s probes
- Load Balancer Health: Health checks for load balancers
- Monitoring Alerts: Alert on health check failures
🎯 Security Best Practices
Application Security
Secure your ALwrity deployment:
Security Measures
- HTTPS Only: Enforce HTTPS for all traffic
- Security Headers: Add security headers to responses
- Input Validation: Validate all user inputs
- Authentication: Implement proper authentication
Access Control
- Role-based Access: Implement RBAC
- API Rate Limiting: Prevent abuse
- IP Whitelisting: Restrict access by IP
- Audit Logging: Log all access attempts
Infrastructure Security
Secure your infrastructure:
Network Security
- Firewall Rules: Configure appropriate firewall rules
- VPC Configuration: Use private networks
- SSL/TLS: Encrypt all communications
- DDoS Protection: Implement DDoS protection
Data Security
- Encryption at Rest: Encrypt stored data
- Encryption in Transit: Encrypt data in transit
- Backup Encryption: Encrypt backup data
- Key Management: Secure key storage and rotation
🆘 Troubleshooting
Common Deployment Issues
Address common deployment problems:
Database Issues
- Connection Problems: Check database connectivity
- Performance Issues: Optimize database queries
- Backup Failures: Verify backup procedures
- Migration Errors: Handle database migrations
Application Issues
- Startup Failures: Check application configuration
- Memory Issues: Monitor memory usage
- Performance Problems: Identify bottlenecks
- Error Handling: Implement proper error handling
Performance Optimization
Optimize your deployment:
Application Optimization
- Caching: Implement appropriate caching strategies
- Database Optimization: Optimize database performance
- CDN Usage: Use CDN for static assets
- Load Balancing: Distribute traffic effectively
Infrastructure Optimization
- Resource Allocation: Right-size your infrastructure
- Auto-scaling: Implement auto-scaling policies
- Monitoring: Track performance metrics
- Capacity Planning: Plan for future growth
🎯 Next Steps
Immediate Actions (This Week)
- Choose deployment strategy (Docker, Kubernetes, Cloud)
- Set up CI/CD pipeline for automated deployments
- Configure monitoring and logging for production
- Implement security best practices and SSL certificates
This Month
- Deploy to production with proper monitoring
- Set up backup and disaster recovery procedures
- Implement performance optimization and caching
- Create runbooks for common operational tasks
🚀 Ready for More?
Learn about performance optimization →
Questions? Join our community or contact support!