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Operations Documentation

Comprehensive guide for deploying, monitoring, securing, and maintaining the Vertical Farm Management Platform in production environments.

📋 Operations Overview

This documentation covers all aspects of platform operations, from initial deployment through ongoing maintenance and incident response. It's designed for DevOps engineers, system administrators, and platform operators.

🚀 Deployment

Deployment Overview

Complete deployment guides for all environments and platforms.

Production Deployment

Infrastructure as Code

📊 Monitoring & Observability

Monitoring Overview

Comprehensive monitoring setup for platform health and performance.

Monitoring Stack

Performance Monitoring

🔒 Security Operations

Security Overview

Security policies, procedures, and incident response.

Security Implementation

Compliance & Auditing

🔧 Maintenance Operations

Routine Maintenance

Performance Optimization

📈 Platform Architecture

System Components

graph TB
    subgraph "Edge Layer"
        CF[Cloudflare CDN]
        WAF[Web Application Firewall]
    end

    subgraph "Application Layer"
        FE[Next.js Frontend]
        API[FastAPI Backend]
        WS[WebSocket Server]
    end

    subgraph "Data Layer"
        DB[(PostgreSQL)]
        CACHE[Redis Cache]
        QUEUE[Job Queue]
    end

    subgraph "Integration Layer"
        HA[Home Assistant]
        SQ[Square API]
        MQTT[MQTT Broker]
    end

    CF --> FE
    CF --> API
    API --> DB
    API --> CACHE
    API --> QUEUE
    API --> HA
    API --> SQ
    WS --> MQTT

Key Metrics & SLAs

Service Availability Target Response Time Error Rate
API 99.9% < 200ms p95 < 1%
Frontend 99.9% < 1s FCP < 1%
Database 99.95% < 50ms p95 < 0.1%
Cache 99.99% < 10ms p95 < 0.01%

🚨 Incident Management

Incident Response Process

  1. Detection - Automated monitoring alerts
  2. Triage - Severity assessment and initial response
  3. Investigation - Root cause analysis
  4. Resolution - Fix deployment and verification
  5. Post-Mortem - Documentation and improvement

Severity Levels

  • Critical (P1) - Complete service outage, data loss risk
  • High (P2) - Major feature unavailable, significant degradation
  • Medium (P3) - Minor feature issues, workarounds available
  • Low (P4) - Cosmetic issues, no user impact

On-Call Procedures

📊 Operational Dashboards

Primary Dashboards

  1. System Health Dashboard
  2. Service status overview
  3. Resource utilization
  4. Active alerts
  5. Recent deployments

  6. Performance Dashboard

  7. API response times
  8. Database query performance
  9. Cache hit rates
  10. Error rates

  11. Business Metrics Dashboard

  12. Active users
  13. API usage
  14. Feature adoption
  15. Growth metrics

🔄 Deployment Pipeline

CI/CD Workflow

# Simplified deployment pipeline
stages:
  - test:
      - unit_tests
      - integration_tests
      - security_scan

  - build:
      - docker_build
      - artifact_creation

  - deploy_staging:
      - deploy_to_staging
      - smoke_tests
      - performance_tests

  - deploy_production:
      - blue_green_deployment
      - health_checks
      - rollback_ready

Deployment Checklist

Pre-Deployment - [ ] Code review completed - [ ] Tests passing (>80% coverage) - [ ] Security scan clean - [ ] Performance benchmarks met - [ ] Documentation updated

During Deployment - [ ] Backup current state - [ ] Enable maintenance mode - [ ] Deploy to staging first - [ ] Run smoke tests - [ ] Monitor error rates

Post-Deployment - [ ] Verify all services healthy - [ ] Check performance metrics - [ ] Monitor error logs - [ ] Update status page - [ ] Document deployment

🛠️ Operational Tools

Required Tools

Monitoring & Logging - Datadog Agent - Metrics and APM - CloudWatch - AWS monitoring - Sentry - Error tracking - ELK Stack - Log aggregation

Deployment & Management - Docker & Docker Compose - Terraform - Infrastructure as Code - GitHub Actions - CI/CD - kubectl - Kubernetes management

Security & Compliance - Vault - Secrets management - OWASP ZAP - Security scanning - SonarQube - Code quality - Dependabot - Dependency updates

📚 Runbooks

Common Operations

Emergency Procedures

📈 Capacity Planning

Resource Planning

Current Capacity - Users: 1,000 concurrent - API Requests: 10,000 req/min - Data Storage: 500 GB - Bandwidth: 1 TB/month

Scaling Triggers - CPU > 70% sustained - Memory > 80% sustained - Response time > 500ms p95 - Error rate > 2%

Growth Projections

Plan for 3x growth annually: - Monitor trending metrics - Plan infrastructure upgrades - Budget for increased costs - Schedule performance testing

🔐 Security Operations Center (SOC)

Security Monitoring

24/7 Monitoring - Intrusion detection - Anomaly detection - Compliance monitoring - Vulnerability scanning

Security Metrics - Failed login attempts - API abuse detection - Data access patterns - Certificate expiration

📝 Compliance & Governance

Regulatory Compliance

  • GDPR compliance for EU users
  • SOC 2 Type II certification
  • ISO 27001 standards
  • Industry-specific requirements

Documentation Requirements

  • Change management logs
  • Access audit trails
  • Incident reports
  • Compliance certificates

🚀 Quick Start for Operators

Day 1 - Initial Setup

  1. Review architecture
  2. Set up monitoring
  3. Configure alerts
  4. Review security policies

Week 1 - Familiarization

  1. Deploy to staging
  2. Run health checks
  3. Review runbooks
  4. Test incident response

Month 1 - Optimization

  1. Analyze performance metrics
  2. Optimize configurations
  3. Plan capacity
  4. Document procedures

📞 Support & Escalation

Internal Support

  • L1 Support - Basic troubleshooting
  • L2 Support - Advanced technical issues
  • L3 Support - Engineering team
  • Architecture Team - Design decisions

External Support

  • Supabase Support - Database issues
  • Cloudflare Support - CDN/Security
  • Render Support - Platform issues
  • Datadog Support - Monitoring

🔄 Continuous Improvement

Regular Reviews

  • Weekly - Performance metrics review
  • Monthly - Security audit
  • Quarterly - Architecture review
  • Annually - Disaster recovery drill

Feedback Loop

  1. Collect operational metrics
  2. Identify improvement areas
  3. Implement changes
  4. Measure impact
  5. Document learnings

For development documentation, see Development Guide | For user guides, see User Documentation