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CI/CD Pipeline Overview

Overview​

The Learnille platform uses a comprehensive CI/CD pipeline to ensure reliable, automated delivery of software changes from development to production.

Pipeline Architecture​

┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│  Developer  │───▶│    GitHub   │───▶│   GitHub    │───▶│  Staging    │
│   Commit    │    │   Actions   │    │   Actions   │    │ Environment │
└─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘
         │               │                     │               │
         ▼               ▼                     ▼               ▼
┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│   Testing   │    │   Build     │    │  Security   │    │ Integration │
│   Stage     │    │   Stage     │    │   Scan      │    │   Tests     │
└─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘
                                                                 │
                                                                 ▼
┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│  Production │◀───│   Manual    │◀───│ Performance│◀───│   Approval  │
│ Environment │    │  Approval   │    │   Tests     │    │             │
└─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘

Pipeline Stages​

1. Source Control​

  • Trigger: Push to main/develop branches, pull requests
  • Actions:
    • Code checkout
    • Branch validation
    • Commit message validation
    • Pre-commit hooks execution

2. Testing Stage​

  • Unit Tests: Jest for frontend, pytest for backend
  • Integration Tests: API endpoint testing
  • E2E Tests: Playwright for critical user journeys
  • Coverage: Minimum 80% code coverage required

3. Build Stage​

  • Frontend Build: TypeScript compilation, asset optimization
  • Backend Build: Docker image creation
  • Security Scanning: Snyk for dependency vulnerabilities
  • Artifact Storage: Docker images pushed to registry

4. Staging Deployment​

  • Environment: Mirrors production setup
  • Database: Isolated staging database
  • Data: Anonymized production data
  • Monitoring: Full monitoring stack enabled

5. Quality Gates​

  • Performance Tests: Load testing with k6
  • Security Tests: Penetration testing
  • Compliance Checks: GDPR, accessibility compliance
  • Manual Review: QA team approval required

6. Production Deployment​

  • Strategy: Blue-green deployment
  • Rollback: Automated rollback on failure
  • Monitoring: Real-time health checks
  • Notification: Team notifications on deployment status

Tools and Technologies​

CI/CD Platform​

  • GitHub Actions: Primary CI/CD platform
  • Workflows: YAML-based pipeline definitions
  • Self-hosted Runners: For performance-intensive tasks

Containerization​

  • Docker: Application containerization
  • Docker Compose: Local development environment
  • Kubernetes: Production container orchestration

Testing Tools​

  • Jest: JavaScript/TypeScript unit testing
  • Playwright: End-to-end testing
  • k6: Performance and load testing
  • Cypress: Component testing

Security Tools​

  • Snyk: Dependency vulnerability scanning
  • SonarQube: Code quality analysis
  • OWASP ZAP: Dynamic security testing

Monitoring Tools​

  • Prometheus: Metrics collection
  • Grafana: Dashboard visualization
  • ELK Stack: Log aggregation and analysis
  • New Relic: Application performance monitoring

Environment Configuration​

Development Environment​

# .github/workflows/dev.yml
name: Development CI
on:
  push:
    branches: [ develop ]
jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '18'
      - name: Install dependencies
        run: npm ci
      - name: Run tests
        run: npm test
      - name: Build application
        run: npm run build

Production Environment​

# .github/workflows/prod.yml
name: Production CD
on:
  push:
    branches: [ main ]
jobs:
  deploy:
    runs-on: ubuntu-latest
    environment: production
    steps:
      - uses: actions/checkout@v3
      - name: Deploy to Self-Hosted Server via SSH
        uses: appleboy/ssh-action@master
        with:
          host: ${{ secrets.SERVER_HOST }}
          username: ${{ secrets.SERVER_USER }}
          key: ${{ secrets.SSH_PRIVATE_KEY }}
          script: |
            cd /opt/learnille
            git pull origin main
            cd server && npm install && npm run build
            pm2 reload learnille-api --update-env

Deployment Strategies​

Blue-Green Deployment​

  • Two identical production environments
  • Traffic switched between blue and green
  • Zero-downtime deployments
  • Instant rollback capability

Canary Deployment​

  • Gradual traffic shift to new version
  • Monitor metrics during rollout
  • Automatic rollback on threshold breach
  • A/B testing capabilities

Feature Flags​

  • Deploy code without exposing features
  • Gradual feature rollout
  • Emergency feature disabling
  • A/B testing support

Quality Gates​

Automated Gates​

  • Test Coverage: > 80%
  • Security Scan: No critical vulnerabilities
  • Performance: < 2s response time
  • Code Quality: Grade A in SonarQube

Manual Gates​

  • Code Review: Required for all changes
  • QA Approval: Manual testing sign-off
  • Security Review: For sensitive changes
  • Product Approval: Feature validation

Monitoring and Alerting​

Pipeline Metrics​

  • Build success rate
  • Deployment frequency
  • Mean time to recovery
  • Change failure rate

Application Metrics​

  • Response time
  • Error rate
  • Throughput
  • Resource utilization

Alerting Rules​

  • Pipeline failures
  • Deployment timeouts
  • Performance degradation
  • Security incidents

Rollback Procedures​

Automated Rollback​

  • Health check failures trigger rollback
  • Database migration failures
  • Application startup failures
  • Performance threshold breaches

Manual Rollback​

  • Emergency rollback button in dashboard
  • Version selection for rollback target
  • Database backup restoration
  • Cache invalidation

Security Considerations​

Pipeline Security​

  • Secret management with GitHub Secrets
  • Dependency scanning
  • Container image scanning
  • Infrastructure as Code security

Access Control​

  • Branch protection rules
  • Required reviews for production
  • Environment-specific approvals
  • Audit logging

Performance Optimization​

Build Optimization​

  • Dependency caching
  • Parallel job execution
  • Incremental builds
  • Artifact reuse

Deployment Optimization​

  • Image layer caching
  • Rolling updates
  • Health check optimization
  • Resource optimization

Disaster Recovery​

Backup Strategy​

  • Database backups every 6 hours
  • Configuration backups daily
  • Artifact storage with versioning
  • Multi-region replication

Recovery Procedures​

  • Automated failover to backup region
  • Database restoration from backups
  • Application redeployment
  • Data consistency verification

Continuous Improvement​

Metrics Tracking​

  • Deployment frequency
  • Lead time for changes
  • Change failure rate
  • Mean time to recovery

Process Optimization​

  • Regular pipeline reviews
  • Tool upgrades
  • Process documentation updates
  • Team training and knowledge sharing