Senior Devops
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure).
Before & after
Same prompt, same agent — the only difference is the skill.
That's a solid project to automate your deployments. There are quite a few decisions to make around tooling, cloud platform, containerization strategy, and testing gates. Are you on AWS, GCP, or Azure? What's your deployment frequency—are we pushing multiple times a day or once a week? Do you have a current deployment process that we're replacing? I'd also want to know about your team's experience with Docker and Kubernetes. Once I understand your constraints better, I can recommend a specific pipeline architecture and walk through the setup.
CI/CD PIPELINE ARCHITECTURE: Node.js Microservices Target: Deploy 15 microservices, 10x per day, zero-downtime updates VERSION CONTROL TRIGGER • GitHub: Pull request opened → lint, test, build image • Merge to main → deploy to staging • Tag release (v1.2.3) → deploy to production TEST GATE (5 min, blocks merge) • Unit tests: Jest (target: 80%+ coverage) • Linting: ESLint + Prettier (auto-fix on commit) • Integration tests: Docker Compose (test DB + API interactions) • Fail fast: Block merge if coverage drops below baseline BUILD STAGE (GitHub Actions) ``` steps: - Build image: docker build -t service:$COMMIT_SHA - Push to ECR: aws ecr push $IMAGE - Tag latest: docker tag $IMAGE service:latest - Scan for vulnerabilities: Trivy scan - Store metadata: Image digest, test results, coverage ``` DEPLOYMENT STAGING (automatic after merge to main) • Platform: AWS ECS on Fargate (no server management) • Strategy: Blue-green deployment (0 downtime) → Old cluster (blue) stays live → New cluster (green) spins up, runs tests → Traffic switches when green is healthy • Rollback: Instant (traffic switches back to blue) • Monitoring: Wait 5 min for error rates, latency (must stay <50ms p95) DEPLOYMENT PRODUCTION (manual gate, but automated after approval) • Approval: Slack notification, engineering lead confirms • Rollout: Canary (5% traffic) for 10 minutes → Monitor: Error rates, latency, DB query times → Decision: All traffic (95%) if metrics green • Instant rollback: Traffic reverts to previous version if errors spike MONITORING & ALERTS • CloudWatch: CPU, memory, request latency per service • Alert on: Error rate >1%, latency p95 >100ms, deployment failures • Post-deployment: Dashboard shows health (green/yellow/red) for 30 min COST • ECR storage: ~50 USD/month (images per microservice) • ECS + Fargate: ~200 USD/month (t3.medium equivalent) • Data transfer: ~30 USD/month • Total: ~280 USD/month
About this skill
name: senior-devops description: Use when Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure).
Senior Devops
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
What you get
- Public GitHub repo (alirezarezvani/claude-skills)
- the senior-devops skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.
Customize your output
- Fork the repo and adapt the skill's instructions and references to your workflow.
Example output
Activates automatically when your request matches Senior Devops; chains with the other skills, agents, and commands in the collection.
Best for
Creators, builders, and teams using Claude Code.
SKILL.md preview
---
name: senior-devops
description: Use this skill when setting up CI/CD pipelines, deploying applications, managing cloud infrastructure, implementing monitoring, or optimizing deployment processes.
version: 1.0.0
category: Development / Engineering
author: AgentVolt
license: proprietary
tags:
- development
- engineering
---
# Senior Devops
Applies production DevOps practice across CI/CD, infrastructure as code, containerization, and cloud platforms to ship reliable deployments.
## When to use
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