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 1. Create Kubernetes Cluster - Set up your K8s cluster 2. Apply Configurations - Deploy ALwrity using K8s manifests 3. Configure Ingress - Set up external access 4. 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 1. Test: Run automated tests 2. Build: Build Docker images 3. Deploy: Deploy to production 4. 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!