Production Deployment

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Overview

This guide covers production deployment considerations for Conformly.ai, including security, performance, and reliability best practices.

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Security

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Environment Variables

• Never commit .env files
• Use secrets management (AWS Secrets Manager, HashiCorp Vault)
• Rotate API keys regularly
• Use separate credentials for each environment

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Authentication

• Enable HTTPS/TLS for all API endpoints
• Configure CORS properly
• Implement rate limiting
• Use secure JWT token expiration

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Database

• Use connection pooling
• Enable SSL for database connections
• Regular backups
• Access control and least privilege

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Performance

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Scaling

• Horizontal Scaling: Run multiple backend instances behind a load balancer
• Celery Workers: Scale workers based on analysis workload
• Redis: Use Redis Cluster for high availability
• Database: Configure read replicas for read-heavy workloads

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Caching

• Use Redis for caching frequently accessed data
• Cache standard documents and analysis results
• Implement cache invalidation strategies

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Monitoring

• Application performance monitoring (APM)
• Log aggregation (ELK, Datadog, etc.)
• Metrics collection (Prometheus, Grafana)
• Alerting for critical issues

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Reliability

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High Availability

• Deploy multiple instances across availability zones
• Use managed database services with automatic failover
• Implement health checks and auto-restart
• Use message queues for async processing

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Backup and Recovery

• Regular database backups
• Backup file storage (S3, etc.)
• Document recovery procedures
• Test backup restoration regularly

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Deployment Checklist

• Environment variables configured securely
• HTTPS/TLS enabled
• Database connection pooling configured
• Redis high availability setup
• Monitoring and alerting configured
• Backup strategy implemented
• Load balancer configured
• Rate limiting enabled
• CORS properly configured
• Logging and error tracking set up

Docker Deployment

Learn about Docker-based deployment