--- name: deployment-pipeline-design description: Pipeline design, deployment strategies (blue-green, canary, rolling), and CI/CD platform patterns. Use when designing pipelines, implementing deployments, configuring quality gates, or setting up automated release workflows. Covers GitHub Actions, GitLab CI, and platform-agnostic patterns. --- # CI/CD Patterns A comprehensive skill for designing and implementing continuous integration and deployment pipelines. Covers pipeline architecture, deployment strategies, quality gates, and platform-specific patterns for GitHub Actions and GitLab CI. ## When to Use - Designing new CI/CD pipelines from scratch - Implementing deployment strategies (blue-green, canary, rolling) - Setting up quality gates and approval workflows - Configuring GitHub Actions or GitLab CI pipelines - Implementing automated rollback mechanisms - Creating multi-environment deployment workflows - Integrating security scanning into pipelines ## Pipeline Architecture ### Pipeline Stages A well-designed pipeline follows these stages in order: ``` Build -> Test -> Analyze -> Package -> Deploy -> Verify ``` **Stage Breakdown:** | Stage | Purpose | Failure Action | |-------|---------|----------------| | Build | Compile code, resolve dependencies | Fail fast, notify developer | | Test | Unit tests, integration tests | Block deployment | | Analyze | SAST, linting, code coverage | Block or warn based on threshold | | Package | Create artifacts, container images | Fail fast | | Deploy | Push to environment | Rollback on failure | | Verify | Smoke tests, health checks | Trigger rollback | ### Pipeline Design Principles 1. **Fail Fast**: Run quick checks (lint, unit tests) before slow ones 2. **Parallel Execution**: Run independent jobs concurrently 3. **Artifact Caching**: Cache dependencies between runs 4. **Immutable Artifacts**: Build once, deploy everywhere 5. **Environment Parity**: Dev, staging, and prod should be identical ## Deployment Strategies ### Blue-Green Deployment Two identical production environments where traffic switches instantly. ``` Load Balancer | +------------+------------+ | | [Blue v1.0] [Green v1.1] (active) (standby) ``` **When to Use:** - Zero-downtime requirements - Need instant rollback capability - Sufficient infrastructure budget for duplicate environments **Implementation Steps:** 1. Deploy new version to inactive environment (Green) 2. Run smoke tests against Green 3. Switch load balancer to Green 4. Monitor for issues 5. Keep Blue running for quick rollback 6. After confidence period, Blue becomes next deployment target **Rollback:** Switch load balancer back to Blue (seconds) ### Canary Deployment Gradually shift traffic from old version to new version. ``` Traffic Distribution Over Time: T0: [====== v1.0 100% ======] T1: [=== v1.0 95% ===][v1.1 5%] T2: [== v1.0 75% ==][= v1.1 25% =] T3: [= v1.0 50% =][== v1.1 50% ==] T4: [====== v1.1 100% ======] ``` **When to Use:** - High-risk deployments - Need to validate with real traffic - Want gradual rollout with monitoring **Traffic Progression (Example):** 1. 5% for 15 minutes - validate basic functionality 2. 25% for 30 minutes - monitor error rates 3. 50% for 1 hour - check performance metrics 4. 100% - full rollout **Rollback Triggers:** - Error rate exceeds baseline + threshold - Latency exceeds acceptable limits - Health check failures ### Rolling Deployment Replace instances incrementally, one batch at a time. ``` Instance Pool (5 instances): T0: [v1.0] [v1.0] [v1.0] [v1.0] [v1.0] T1: [v1.1] [v1.0] [v1.0] [v1.0] [v1.0] T2: [v1.1] [v1.1] [v1.0] [v1.0] [v1.0] T3: [v1.1] [v1.1] [v1.1] [v1.0] [v1.0] T4: [v1.1] [v1.1] [v1.1] [v1.1] [v1.0] T5: [v1.1] [v1.1] [v1.1] [v1.1] [v1.1] ``` **When to Use:** - Limited infrastructure resources - Can tolerate mixed versions during deployment - Stateless applications **Configuration Parameters:** - `maxUnavailable`: How many instances can be down simultaneously - `maxSurge`: How many extra instances during deployment - `minReadySeconds`: Wait time before considering instance healthy ### Feature Flags Decouple deployment from release - deploy code without activating features. ``` Code deployed with feature flag: if (featureFlags.isEnabled('new-checkout', user)) { return newCheckoutFlow(cart); } else { return legacyCheckoutFlow(cart); } ``` **When to Use:** - Long-running feature development - A/B testing requirements - Gradual feature rollouts - Kill switch for problematic features **Rollback:** Disable flag (no deployment required) ## Quality Gates ### Required Gates Every pipeline should include these gates: | Gate | Threshold | Block Deploy? | |------|-----------|---------------| | Unit Tests | 100% pass | Yes | | Integration Tests | 100% pass | Yes | | Code Coverage | >= 80% | Yes | | Security Scan (Critical) | 0 findings | Yes | | Security Scan (High) | 0 new findings | Configurable | | Dependency Vulnerabilities | 0 critical | Yes | ### Manual Approval Gates Use for production deployments: ```yaml # Conceptual flow stages: - test - deploy-staging - approval # Manual gate - deploy-prod - verify ``` **Approval Requirements:** - At least 2 approvers for production - No self-approval allowed - Time-boxed approval windows - Audit trail of approvals ## GitHub Actions Patterns ### Basic Pipeline Structure ```yaml name: CI/CD Pipeline on: push: branches: [main, develop] pull_request: branches: [main] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: actions/setup-node@v4 with: node-version: '20' cache: 'npm' - run: npm ci - run: npm run build - uses: actions/upload-artifact@v4 with: name: build path: dist/ test: needs: build runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: actions/download-artifact@v4 with: name: build path: dist/ - run: npm ci - run: npm test deploy-staging: needs: test if: github.ref == 'refs/heads/main' environment: staging runs-on: ubuntu-latest steps: - uses: actions/download-artifact@v4 with: name: build - run: ./deploy.sh staging deploy-prod: needs: deploy-staging if: github.ref == 'refs/heads/main' environment: production runs-on: ubuntu-latest steps: - uses: actions/download-artifact@v4 with: name: build - run: ./deploy.sh production ``` ### Matrix Builds Run tests across multiple configurations: ```yaml jobs: test: strategy: fail-fast: false matrix: os: [ubuntu-latest, windows-latest, macos-latest] node: [18, 20, 22] runs-on: ${{ matrix.os }} steps: - uses: actions/checkout@v4 - uses: actions/setup-node@v4 with: node-version: ${{ matrix.node }} - run: npm ci - run: npm test ``` ### Reusable Workflows Create reusable workflow in `.github/workflows/deploy-reusable.yml`: ```yaml name: Reusable Deploy on: workflow_call: inputs: environment: required: true type: string secrets: DEPLOY_KEY: required: true jobs: deploy: environment: ${{ inputs.environment }} runs-on: ubuntu-latest steps: - run: ./deploy.sh ${{ inputs.environment }} env: DEPLOY_KEY: ${{ secrets.DEPLOY_KEY }} ``` Call from another workflow: ```yaml jobs: deploy-staging: uses: ./.github/workflows/deploy-reusable.yml with: environment: staging secrets: DEPLOY_KEY: ${{ secrets.STAGING_DEPLOY_KEY }} ``` ### Environment Protection Rules Configure in repository settings: - Required reviewers for production - Wait timer (e.g., 15 minutes before prod deploy) - Restrict to specific branches - Required status checks ## GitLab CI Patterns ### Basic Pipeline Structure ```yaml stages: - build - test - deploy variables: NODE_VERSION: "20" default: image: node:${NODE_VERSION} cache: paths: - node_modules/ build: stage: build script: - npm ci - npm run build artifacts: paths: - dist/ expire_in: 1 hour test:unit: stage: test script: - npm ci - npm run test:unit coverage: '/Coverage: \d+\.\d+%/' test:integration: stage: test services: - postgres:15 variables: POSTGRES_DB: test POSTGRES_USER: test POSTGRES_PASSWORD: test script: - npm ci - npm run test:integration deploy:staging: stage: deploy environment: name: staging url: https://staging.example.com script: - ./deploy.sh staging only: - main deploy:production: stage: deploy environment: name: production url: https://example.com script: - ./deploy.sh production when: manual only: - main ``` ### Pipeline Rules ```yaml deploy:production: rules: - if: $CI_COMMIT_BRANCH == "main" when: manual - if: $CI_COMMIT_TAG when: on_success - when: never ``` ### Include Templates ```yaml include: - template: Security/SAST.gitlab-ci.yml - template: Security/Dependency-Scanning.gitlab-ci.yml - local: .gitlab/ci/deploy.yml - project: 'devops/ci-templates' ref: main file: '/templates/docker-build.yml' ``` ### Dynamic Environments ```yaml deploy:review: stage: deploy environment: name: review/$CI_COMMIT_REF_SLUG url: https://$CI_COMMIT_REF_SLUG.review.example.com on_stop: stop:review script: - ./deploy.sh review only: - merge_requests stop:review: stage: deploy environment: name: review/$CI_COMMIT_REF_SLUG action: stop script: - ./teardown.sh review when: manual only: - merge_requests ``` ## Rollback Mechanisms ### Automated Rollback Triggers ```yaml # Conceptual rollback configuration rollback: triggers: - metric: error_rate threshold: 5% window: 5m - metric: latency_p99 threshold: 2000ms window: 5m - metric: health_check_failures threshold: 3 window: 1m action: type: previous_version notify: - slack: #deployments - pagerduty: on-call ``` ### Database Migration Rollback 1. **Forward-only migrations** (preferred): - Never use destructive operations (DROP, DELETE) - Add new columns as nullable - Use feature flags to switch behavior - Clean up old columns in later release 2. **Rollback migrations**: - Every migration must have a corresponding rollback - Test rollbacks in staging before production - Keep rollback window defined (e.g., 24 hours) ### Artifact-Based Rollback ```yaml rollback:production: stage: deploy environment: name: production script: - PREVIOUS_VERSION=$(get-previous-version.sh) - ./deploy.sh production $PREVIOUS_VERSION when: manual only: - main ``` ## Security Integration ### SAST/DAST Integration ```yaml security:sast: stage: analyze image: security-scanner:latest script: - sast-scan --format sarif --output sast-results.sarif artifacts: reports: sast: sast-results.sarif security:dependency: stage: analyze script: - npm audit --audit-level=high - trivy fs --security-checks vuln . ``` ### Secret Scanning - Never commit secrets to repository - Use environment secrets or vault integration - Scan for exposed secrets in pre-commit hooks - Rotate secrets immediately if exposed ## Best Practices ### Pipeline Design - Keep pipelines under 15 minutes for main branch - Use caching aggressively for dependencies - Run expensive tests in parallel - Fail fast with quick checks first - Use artifacts to avoid rebuilding ### Deployment Safety - Always have a rollback plan - Deploy to staging before production - Use feature flags for risky changes - Monitor deployments in real-time - Document deployment procedures ### Quality Assurance - Enforce code coverage thresholds - Block deployments on security findings - Require peer approval for production - Maintain environment parity - Test rollback procedures regularly ### Observability - Log all deployment events - Track deployment frequency and lead time - Monitor change failure rate - Measure mean time to recovery - Alert on deployment failures ## References - `templates/pipeline-template.md` - Complete pipeline template with all stages