Deployment Engineer

Deployment Engineer

Specialist in deployment automation, CI/CD pipelines, and infrastructure management.

When This Skill Activates

Activates when you:

• Set up deployment pipeline
• Configure CI/CD
• Manage releases
• Automate infrastructure

CI/CD Pipeline

Pipeline Stages

stages:
  - lint
  - test
  - build
  - security
  - deploy-dev
  - deploy-staging
  - deploy-production

GitHub Actions Example

name: CI/CD

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
      - run: npm ci
      - run: npm run lint

  test:
    runs-on: ubuntu-latest
    needs: lint
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
      - run: npm ci
      - run: npm test

  build:
    runs-on: ubuntu-latest
    needs: test
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
      - run: npm ci
      - run: npm run build
      - uses: actions/upload-artifact@v4
        with:
          name: build
          path: dist/

  deploy-production:
    runs-on: ubuntu-latest
    needs: build
    if: github.ref == 'refs/heads/main'
    environment: production
    steps:
      - uses: actions/checkout@v4
      - uses: actions/download-artifact@v4
        with:
          name: build
          path: dist/
      - run: npm run deploy

Deployment Strategies

1. Blue-Green Deployment

         ┌─────────┐
         │  Load   │
         │ Balancer│
         └────┬────┘
              │
     ┌────────┴────────┐
     │    Switch       │
     ├────────┬────────┤
     ▼        ▼        ▼
  ┌─────┐ ┌─────┐ ┌─────┐
  │Blue │ │Green│ │     │
  └─────┘ └─────┘ └─────┘

2. Rolling Deployment

┌─────────────────────────────────────┐
│ v1  v1  v1  v1  v1  v1  v1  v1  v1 │ → Old
│ v2  v2  v2  v2  v2  v2  v2  v2  v2 │ → New
└─────────────────────────────────────┘
    ▲                       ▲
    │                       │
  Start                  End

3. Canary Deployment

┌──────────────────────────────────────┐
│ v1  v1  v1  v1  v1  v1  v1  v1  v1  v1 │ → Old
│ v2  v2  v2  v2                        │ → Canary (5%)
└──────────────────────────────────────┘

Monitor metrics, then:
│ v1  v1  v1  v1                        │ → Old (50%)
│ v2  v2  v2  v2  v2  v2  v2  v2  v2  v2 │ → New (50%)

Environment Configuration

Environment Variables

# Production
NODE_ENV=production
DATABASE_URL=postgresql://...
API_KEY=${API_KEY}
SENTRY_DSN=https://example.com/123

# Development
NODE_ENV=development
DATABASE_URL=postgresql://localhost:5432/dev

Configuration Management

// config/production.ts
export default {
  database: {
    url: process.env.DATABASE_URL,
    poolSize: 20,
  },
  redis: {
    url: process.env.REDIS_URL,
  },
};

Health Checks

// GET /health
app.get('/health', (req, res) => {
  const health = {
    status: 'ok',
    timestamp: new Date().toISOString(),
    checks: {
      database: 'ok',
      redis: 'ok',
      external_api: 'ok',
    },
  };

  if (Object.values(health.checks).some(v => v !== 'ok')) {
    health.status = 'degraded';
    return res.status(503).json(health);
  }

  res.json(health);
});

Rollback Strategy

# Kubernetes
kubectl rollout undo deployment/app

# Docker
docker-compose down
docker-compose up -d --scale app=<previous-version>

# Git
git revert HEAD
git push

Monitoring & Logging

Metrics to Track

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

Logging

// Structured logging
logger.info('Deployment started', {
  version: process.env.VERSION,
  environment: process.env.NODE_ENV,
  timestamp: new Date().toISOString(),
});

Scripts

Generate deployment config:

python scripts/generate_deploy.py <environment>

Validate deployment:

python scripts/validate_deploy.py

References

• references/pipelines.md - CI/CD pipeline examples
• references/kubernetes.md - K8s deployment configs
• references/monitoring.md - Monitoring setup

Deployment Engineer

A Claude Code skill for CI/CD pipelines and deployment automation.

Installation

This skill is part of the agent-playbook collection.

Usage

You: Set up CI/CD
You: Create deployment pipeline
You: Configure GitHub Actions

Deployment Strategies

Scripts

Generate deployment config:

python scripts/generate_deploy.py <environment>

Validate deployment:

python scripts/validate_deploy.py

Resources

• GitHub Actions Docs
• CI/CD Best Practices

Kubernetes Deployment Skeleton

apiVersion: apps/v1
kind: Deployment
metadata:
  name: app
spec:
  replicas: 2
  selector:
    matchLabels:
      app: app
  template:
    metadata:
      labels:
        app: app
    spec:
      containers:
        - name: app
          image: example/app:1.0.0
          ports:
            - containerPort: 8080
          readinessProbe:
            httpGet:
              path: /healthz
              port: 8080
            initialDelaySeconds: 5
            periodSeconds: 10
          livenessProbe:
            httpGet:
              path: /healthz
              port: 8080
            initialDelaySeconds: 15
            periodSeconds: 20
          resources:
            requests:
              cpu: 100m
              memory: 128Mi
            limits:
              cpu: 500m
              memory: 512Mi
          securityContext:
            allowPrivilegeEscalation: false
            readOnlyRootFilesystem: true
            runAsNonRoot: true

Monitoring Checklist

Metrics

• Request rate
• Error rate
• Latency (p50/p95/p99)

Logs

• Structured logs with request IDs
• Include error context and stack traces

Alerts

• Define SLO-based alerts
• Avoid noisy, low-signal alerts

CI/CD Pipeline Patterns

Recommended Stages

• lint
• test
• build
• security
• deploy

Notes

• Keep pipelines fast and deterministic
• Fail fast on lint and unit tests