archive/ci_cd_docs/CI_CD_IMPLEMENTATION_SUMMARY.md

CI/CD Implementation Summary

🎯 Overview

This document summarizes the comprehensive CI/CD pipeline implementation for the KGraph-MCP project, including the shift to a develop-based workflow and multi-environment deployment strategy.

📝 Key Changes Implemented

1. Cursor Rules Updates

Updated Files:

• .cursor/rules/project_management.mdc
  • Added rule: All PRs should target develop branch, not main
  • Main branch is reserved for production-ready releases only

2. Justfile Updates

Modified Recipes:

• Renamed pr-to-main to pr-to-develop
• Updated PR creation to target develop branch by default
• Added alias for backward compatibility

3. Git Flow Strategy

Implemented standard Git Flow with:

• main - Production releases only
• develop - Integration branch for features
• release/* - Release candidates
• feature/* - Feature development
• hotfix/* - Emergency fixes

4. CI/CD Pipeline Files Created

Core Files:

1. CI_CD_DEPLOYMENT_PLAN.md - Comprehensive deployment strategy
2. scripts/deploy.sh - Universal deployment script
3. Dockerfile - Multi-stage build for all environments

Docker Compose Files:

• deployments/docker-compose.dev.yml - Development environment
• deployments/docker-compose.staging.yml - Staging environment
• deployments/docker-compose.prod.yml - Production environment with monitoring

GitHub Actions Workflows:

• .github/workflows/ci.yml - Continuous Integration
• .github/workflows/deploy-dev.yml - Auto-deploy to dev
• .github/workflows/deploy-staging.yml - Deploy to staging
• .github/workflows/deploy-prod.yml - Production deployment with rollback

🚀 Environment Architecture

Development

• Trigger: Push to develop
• Features: Auto-deploy, debug mode, test data
• URL: dev.kgraph-mcp.example.com

Staging

• Trigger: Push to release/* branches
• Features: Production-like, integration tests
• URL: staging.kgraph-mcp.example.com

Production

• Trigger: Tagged releases (v*)
• Features: HA, monitoring, automated backups
• URL: api.kgraph-mcp.example.com

🔧 Key Features Implemented

1. Automated Testing

• Linting (Ruff, Black)
• Type checking (mypy)
• Unit tests with coverage
• Security scanning (Trivy)
• Multi-Python version testing

2. Docker Integration

• Multi-stage builds
• Environment-specific configurations
• GitHub Container Registry
• Layer caching for faster builds

3. Deployment Safety

• Health checks before/after deployment
• Automated rollback on failure
• Database backups before production deploys
• Smoke tests post-deployment

4. Monitoring & Observability

• Prometheus metrics collection
• Grafana dashboards
• Sentry error tracking
• Slack notifications

5. Security

• Container vulnerability scanning
• Non-root user in containers
• Environment-specific secrets
• SSH key-based deployments

📋 Required GitHub Secrets

Development Environment:

• DEV_HOST - Development server hostname
• DEV_USER - Deployment user
• DEV_DEPLOY_KEY - SSH private key

Staging Environment:

• STAGING_HOST - Staging server hostname
• STAGING_USER - Deployment user
• STAGING_DEPLOY_KEY - SSH private key

Production Environment:

• PROD_HOST - Production server hostname
• PROD_USER - Deployment user
• PROD_DEPLOY_KEY - SSH private key

Common:

• SLACK_WEBHOOK - Slack notifications
• SENTRY_DSN - Error tracking

🔄 Deployment Workflow

Feature Development:

1. Create feature branch from develop
2. Develop and test locally
3. Create PR to develop
4. CI runs tests and checks
5. Merge triggers auto-deploy to dev

Release Process:

1. Create release/v1.2.0 from develop
2. Deploy to staging automatically
3. Run acceptance tests
4. Create PR to main
5. Merge and tag triggers production deploy

Hotfix Process:

1. Create hotfix/critical-fix from main
2. Fix and test
3. PR to both main and develop
4. Deploy to production immediately

🎯 Next Steps

1. Infrastructure Setup:

   • Provision dev/staging/prod servers
   • Configure DNS for environments
   • Set up SSL certificates

2. GitHub Configuration:

   • Add all required secrets
   • Configure branch protection rules
   • Set up environments in GitHub

3. Monitoring Setup:

   • Deploy Prometheus/Grafana stack
   • Configure alerts and dashboards
   • Set up Sentry project

4. Documentation:

   • Update README with deployment info
   • Create runbooks for common tasks
   • Document rollback procedures

📚 Related Documents

• CI/CD Deployment Plan
• Deployment Script
• Docker Configuration
• Environment Configs

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This implementation provides a robust, scalable CI/CD pipeline with proper environment separation and deployment safety measures.