Production deployment and scaling

[A-Chronicle]

Description

Configure and deploy the Portfolio Health Agent for production use with proper monitoring, logging, and scaling capabilities.

Tasks

• Containerize application (Docker)
• Set up Kubernetes manifests for scaling
• Implement structured logging (JSON, ELK stack)
• Add monitoring and alerting (Prometheus, Grafana)
• Configure database for decision history
• Implement rate limiting and throttling
• Add request authentication/authorization
• Set up CI/CD pipeline
• Create deployment documentation
• Performance optimization and load testing

Production Requirements

• Background task queue for portfolio monitoring (Celery/RQ)
• Scheduled jobs for periodic portfolio scans
• Database migration scripts
• Backup and disaster recovery plan
• Security audit and hardening
• API rate limiting and throttling
• Error tracking (Sentry)
• Performance monitoring

Acceptance Criteria

• Application runs reliably in production
• Can handle multiple concurrent loan officer connections
• Agent can monitor large portfolios efficiently
• All decisions are logged and auditable
• Monitoring and alerting functional
• Deployment automated via CI/CD
• Documentation complete for operators

Deployment Targets

• Docker containers
• Kubernetes cluster
• AWS/GCP/Azure (optional)

Related

• Depends on Integration with real Mifos X instance #5, Set up local LLM for agent reasoning #6, Build dashboard UI for loan officer oversight #7
• Part of Add portfolio health agent prototype #3 (main issue)