Senior Devops

Senior DevOps Engineer

Overview

Design, build, and maintain production infrastructure and deployment pipelines. This skill covers Docker containerization, Kubernetes orchestration, CI/CD with GitHub Actions, infrastructure-as-code with Terraform/Pulumi, monitoring with Prometheus/Grafana, alerting strategies, zero-downtime deployments, and rollback procedures.

Phase 1: Infrastructure Design

1. Define deployment topology (single server, cluster, multi-region) 2. Choose containerization strategy (Docker, Buildpacks) 3. Select orchestration platform (Kubernetes, ECS, Cloud Run) 4. Plan networking (load balancers, DNS, TLS) 5. Design secret management approach

STOP — Present infrastructure design to user for approval before implementation.

Infrastructure Decision Table

Phase 2: Pipeline Implementation

1. Build CI pipeline (lint, test, build, security scan) 2. Build CD pipeline (deploy to staging, production) 3. Configure environment-specific settings 4. Set up artifact registry (container images, packages) 5. Implement deployment strategy (blue-green, canary, rolling)

STOP — Validate pipeline config syntax and present for review.

Phase 3: Observability

1. Deploy monitoring stack (Prometheus, Grafana) 2. Configure alerting rules and escalation 3. Set up log aggregation 4. Implement distributed tracing 5. Create runbooks for common incidents

STOP — Verify monitoring covers all critical services before declaring complete.

Dockerfile Best Practices

# 1. Use specific version tags (not :latest)
FROM node:20-alpine AS base

# 2. Set working directory
WORKDIR /app

# 3. Install dependencies in separate layer (cache optimization)
FROM base AS deps
COPY package.json pnpm-lock.yaml ./
RUN corepack enable && pnpm install --frozen-lockfile --prod

FROM base AS build-deps
COPY package.json pnpm-lock.yaml ./
RUN corepack enable && pnpm install --frozen-lockfile

# 4. Build in separate stage
FROM build-deps AS builder
COPY . .
RUN pnpm build

# 5. Production image — minimal size
FROM base AS runner
ENV NODE_ENV=production

# 6. Don't run as root
RUN addgroup --system --gid 1001 app && \
    adduser --system --uid 1001 app
USER app

# 7. Copy only what's needed
COPY --from=deps /app/node_modules ./node_modules
COPY --from=builder /app/dist ./dist

# 8. Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s \
  CMD wget -qO- http://localhost:3000/health || exit 1

# 9. Expose port and set entrypoint
EXPOSE 3000
CMD ["node", "dist/server.js"]

Key Dockerfile Rules

Docker Compose Patterns

services:
  app:
    build:
      context: .
      dockerfile: Dockerfile
      target: runner
    ports:
      - "3000:3000"
    environment:
      - DATABASE_URL=postgresql://postgres:postgres@db:5432/app
      - REDIS_URL=redis://cache:6379
    depends_on:
      db:
        condition: service_healthy
      cache:
        condition: service_started
    healthcheck:
      test: ["CMD", "wget", "-qO-", "http://localhost:3000/health"]
      interval: 10s
      timeout: 5s
      retries: 3

  db:
    image: postgres:16-alpine
    volumes:
      - postgres_data:/var/lib/postgresql/data
    environment:
      POSTGRES_DB: app
      POSTGRES_USER: postgres
      POSTGRES_PASSWORD: postgres
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U postgres"]
      interval: 5s
      timeout: 3s
      retries: 5

  cache:
    image: redis:7-alpine
    volumes:
      - redis_data:/data

volumes:
  postgres_data:
  redis_data:

GitHub Actions Workflow

name: CI/CD
on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  lint-and-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: pnpm/action-setup@v3
      - uses: actions/setup-node@v4
        with:
          node-version: 20
          cache: pnpm
      - run: pnpm install --frozen-lockfile
      - run: pnpm lint
      - run: pnpm typecheck
      - run: pnpm test -- --coverage

  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: npx audit-ci --moderate
      - uses: aquasecurity/trivy-action@master
        with:
          scan-type: fs
          severity: HIGH,CRITICAL

  build-and-push:
    needs: [lint-and-test, security-scan]
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: docker/setup-buildx-action@v3
      - uses: docker/login-action@v3
        with:
          registry: ghcr.io
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}
      - uses: docker/build-push-action@v5
        with:
          push: true
          tags: ghcr.io/${{ github.repository }}:${{ github.sha }}
          cache-from: type=gha
          cache-to: type=gha,mode=max

  deploy:
    needs: build-and-push
    runs-on: ubuntu-latest
    environment: production
    steps:
      - name: Deploy to production
        run: echo "Deploying ${{ github.sha }}"

Terraform / Pulumi Patterns

Terraform Structure

modules/
  vpc/
    main.tf, variables.tf, outputs.tf
  ecs/
    main.tf, variables.tf, outputs.tf
environments/
  staging/
    main.tf, terraform.tfvars
  production/
    main.tf, terraform.tfvars

Key IaC Rules

Monitoring (Prometheus + Grafana)

USE Method (Resources)

RED Method (Services)

• Rate: requests per second
• Errors: error rate per second
• Duration: latency distribution (p50, p95, p99)

Alerting Rules

groups:
  - name: app-alerts
    rules:
      - alert: HighErrorRate
        expr: rate(http_requests_total{status=~"5.."}[5m]) / rate(http_requests_total[5m]) > 0.05
        for: 5m
        labels:
          severity: critical
      - alert: HighLatency
        expr: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m])) > 1
        for: 5m
        labels:
          severity: warning

Alerting Best Practices

Zero-Downtime Deployment Strategies

Rollback Procedures

1. Automated: health check fails -> automatic rollback 2. Manual: kubectl rollout undo deployment/app 3. Database: forward-only migrations with backward compatibility 4. Config: revert via secret manager version

Database Migration Safety

Anti-Patterns / Common Mistakes

Key Principles

• Infrastructure as code — no manual changes to production
• Immutable infrastructure — replace, do not patch
• Cattle, not pets — servers are disposable
• Shift left security — scan early in pipeline
• Least privilege — minimal permissions everywhere
• Automate everything that runs more than twice
• Test the disaster recovery plan regularly

Documentation Lookup (Context7)

Use mcp__context7__resolve-library-id then mcp__context7__query-docs for up-to-date docs. Returned docs override memorized knowledge.

• docker — for Dockerfile syntax, compose configuration, or multi-stage builds
• kubernetes — for resource manifests, kubectl commands, or Helm charts
• terraform — for provider configuration, resource blocks, or state management

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Integration Points

Skill Type

FLEXIBLE — Adapt tooling and patterns to the project's cloud provider, team size, and operational maturity. The principles (IaC, immutability, observability) are constant; the specific tools are interchangeable.