EuConquisto Composer MCP

# Production Deployment Architecture ## Task Overview **Assigned to**: Claude Desktop **Priority**: Medium **Timeline**: Strategic planning phase **Dependencies**: Resource constraints and scaling analysis ## Objective Define the production deployment architecture for the EuConquisto Composer MCP server, including infrastructure requirements, security considerations, monitoring, and operational procedures. ## Background Context Current deployment challenges: - Browser automation requires specific server environment setup - No production configuration management system - Missing monitoring, logging, and alerting infrastructure - Security vulnerabilities (hardcoded secrets) need addressing - No deployment automation or CI/CD pipeline - Single point of failure with no redundancy ## Architecture Decision Areas ### 1. Deployment Model Options #### Option A: Containerized Deployment - **Docker containers** for consistent environments - **Kubernetes orchestration** for scaling and management - **Browser automation** in containerized environments - **Service mesh** for inter-service communication #### Option B: Serverless Deployment - **AWS Lambda/Azure Functions** for compute - **API Gateway** for request routing - **Browser automation** via serverless browser services - **Event-driven architecture** for scaling #### Option C: Traditional Server Deployment - **Dedicated servers** or VMs - **Load balancers** for distribution - **Manual scaling** and management - **Traditional monitoring** and logging ### 2. Infrastructure Components #### Core Services - **MCP Server**: Primary application service - **Browser Automation**: Chromium instances management - **Authentication Service**: JWT validation and user management - **Configuration Management**: Environment variables and secrets - **Monitoring & Logging**: Application and infrastructure monitoring #### Supporting Infrastructure - **Load Balancer**: Traffic distribution and health checks - **Database**: Session storage and user management (if needed) - **Cache**: Browser instance pooling and session caching - **Message Queue**: Request queuing for high load scenarios - **File Storage**: Composition templates and artifacts ### 3. Security Architecture #### Network Security - **VPC/Private Networks**: Isolated network environments - **Firewall Rules**: Restricted access and port management - **TLS/SSL**: Encrypted communication - **API Gateway**: Authentication and rate limiting #### Application Security - **Secrets Management**: Environment-based configuration - **Authentication**: JWT validation and user authorization - **Input Validation**: Request sanitization and validation - **Audit Logging**: Security event tracking and monitoring ## Key Architectural Decisions ### 1. Browser Automation Deployment **Critical Decision**: How to deploy browser automation reliably #### Considerations: - **Container Support**: Docker with browser automation - **Resource Management**: Memory and CPU allocation - **Display Management**: Headless vs virtual display - **Font and Rendering**: Consistent rendering across environments #### Options: - **Playwright in Docker**: Pre-configured container with browsers - **Browser as a Service**: External browser automation services - **Dedicated Browser Servers**: Separate instances for browser automation ### 2. Scaling and Load Management **Critical Decision**: How to handle variable load and scaling #### Horizontal Scaling Strategy: - **Multiple MCP Server Instances**: Load balanced deployment - **Browser Instance Pooling**: Shared browser resources - **Connection Queuing**: Request queuing for peak loads - **Auto-scaling**: Dynamic resource allocation #### Vertical Scaling Strategy: - **Resource Optimization**: Better resource utilization - **Connection Limits**: Maximum concurrent operations - **Resource Monitoring**: Proactive scaling decisions ### 3. Configuration Management **Critical Decision**: How to manage environment-specific configuration #### Configuration Areas: - **Authentication**: JWT tokens and API keys - **Service Endpoints**: EuConquisto Composer URLs - **Resource Limits**: Browser instances and timeouts - **Monitoring**: Logging levels and alert thresholds #### Management Options: - **Environment Variables**: Simple key-value configuration - **Configuration Files**: Structured configuration management - **Secret Management**: Dedicated secret management services - **Configuration APIs**: Dynamic configuration updates ## Infrastructure Requirements ### 1. Compute Requirements - **CPU**: Multi-core for browser automation - **Memory**: 2-4GB per browser instance - **Storage**: SSD for fast browser startup - **Network**: Reliable internet for EuConquisto access ### 2. Monitoring and Observability - **Application Metrics**: Request rates, response times, error rates - **Infrastructure Metrics**: CPU, memory, disk, network usage - **Browser Metrics**: Instance counts, memory usage, crash rates - **Business Metrics**: Composition creation rates, success rates ### 3. Logging and Alerting - **Structured Logging**: JSON-formatted logs with correlation IDs - **Log Aggregation**: Centralized log collection and search - **Error Tracking**: Exception monitoring and reporting - **Alert Management**: Threshold-based alerting and escalation ## Security Considerations ### 1. Infrastructure Security - **Network Isolation**: Private networks and security groups - **Access Control**: Role-based access to infrastructure - **Patch Management**: Regular security updates - **Backup and Recovery**: Data protection and disaster recovery ### 2. Application Security - **Authentication**: Secure JWT token validation - **Authorization**: Role-based access control - **Input Validation**: Request sanitization and validation - **Rate Limiting**: Abuse prevention and DoS protection ### 3. Data Security - **Encryption**: Data at rest and in transit - **Secret Management**: Secure credential storage - **Audit Logging**: Security event tracking - **Compliance**: Data protection regulations ## Operational Procedures ### 1. Deployment Process - **CI/CD Pipeline**: Automated build, test, and deployment - **Blue-Green Deployment**: Zero-downtime deployments - **Rollback Procedures**: Quick recovery from failed deployments - **Environment Promotion**: Staging to production workflow ### 2. Monitoring and Maintenance - **Health Checks**: Application and infrastructure monitoring - **Performance Monitoring**: Response time and throughput tracking - **Capacity Planning**: Resource usage trend analysis - **Incident Response**: Alert handling and escalation procedures ## Key Questions to Address ### 1. Infrastructure Decisions - **Cloud Provider**: AWS, Azure, GCP, or on-premises? - **Containerization**: Docker/Kubernetes vs traditional deployment? - **Serverless**: Event-driven vs always-on architecture? - **Database**: Relational, NoSQL, or file-based storage? ### 2. Security Requirements - **Compliance**: Industry-specific security requirements? - **Audit**: Logging and audit trail requirements? - **Authentication**: Integration with existing identity systems? - **Network**: VPN, private networks, or public internet access? ### 3. Operational Requirements - **SLA**: Uptime and performance requirements? - **Support**: 24/7 monitoring vs business hours? - **Backup**: Recovery time and point objectives? - **Scaling**: Manual vs automatic scaling preferences? ## Deliverables Expected ### 1. Architecture Design Document - **Infrastructure Diagram**: Complete system architecture - **Component Specifications**: Detailed service requirements - **Security Architecture**: Security controls and procedures - **Deployment Strategy**: Step-by-step deployment plan ### 2. Implementation Plan - **Phase 1**: MVP deployment with basic features - **Phase 2**: Production hardening and monitoring - **Phase 3**: Advanced features and optimization - **Timeline**: Detailed implementation schedule ### 3. Operational Runbook - **Deployment Procedures**: Step-by-step deployment guide - **Monitoring Setup**: Monitoring and alerting configuration - **Incident Response**: Troubleshooting and recovery procedures - **Maintenance Tasks**: Regular operational activities ## Success Criteria - [ ] Production architecture designed and documented - [ ] Infrastructure requirements specified - [ ] Security architecture defined - [ ] Deployment strategy planned - [ ] Monitoring and alerting strategy outlined - [ ] Operational procedures documented ## Risk Assessment - **Single Point of Failure**: Browser automation service availability - **Resource Constraints**: Browser memory and CPU requirements - **Security Vulnerabilities**: Authentication and authorization gaps - **Deployment Complexity**: Browser automation in production environments - **Operational Overhead**: Monitoring and maintenance requirements ## Follow-up Actions Results will inform: - Infrastructure provisioning and setup - Security implementation priorities - Monitoring and alerting system setup - Operational procedures and documentation - Development timeline and resource allocation --- **Note**: The production deployment architecture is critical for ensuring the MCP server can operate reliably and securely in production environments while supporting the browser automation requirements.