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

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

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