devops

mrgoonie's avatarfrom mrgoonie

Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.

1.1kstars🔀227forks📁View on GitHub🕐Updated Dec 30, 2025

When & Why to Use This Skill

This comprehensive DevOps skill enables Claude to act as a cloud architect and engineer, facilitating the deployment and management of modern infrastructure across Cloudflare, Docker, Google Cloud Platform (GCP), and Kubernetes. It streamlines complex tasks such as configuring serverless edge functions, orchestrating containers, and implementing GitOps workflows. By leveraging best practices in security, cost optimization, and performance tuning, this skill helps developers transition from local code to globally distributed, production-ready environments with ease.

Use Cases

  • Edge Computing & Serverless Deployment: Rapidly deploy low-latency applications using Cloudflare Workers, Pages, and R2 storage for global performance.
  • Containerization & Orchestration: Build Docker images and manage scalable workloads on Google Kubernetes Engine (GKE), Cloud Run, or standalone Docker Compose environments.
  • Automated CI/CD & GitOps: Set up robust delivery pipelines and automated infrastructure updates using tools like Helm, Argo CD, and Flux.
  • Multi-Cloud Resource Management: Provision and configure diverse cloud services including SQL databases (D1, Cloud SQL), NoSQL stores (KV), and object storage across different providers.
  • Infrastructure Security & Auditing: Perform security audits, configure Role-Based Access Control (RBAC), and implement network policies to protect cloud-native applications.
namedevops
descriptionDeploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.
licenseMIT
version2.0.0

DevOps Skill

Deploy and manage cloud infrastructure across Cloudflare, Docker, Google Cloud, and Kubernetes.

When to Use

  • Deploy serverless apps to Cloudflare Workers/Pages
  • Containerize apps with Docker, Docker Compose
  • Manage GCP with gcloud CLI (Cloud Run, GKE, Cloud SQL)
  • Kubernetes cluster management (kubectl, Helm)
  • GitOps workflows (Argo CD, Flux)
  • CI/CD pipelines, multi-region deployments
  • Security audits, RBAC, network policies

Platform Selection

Need Choose
Sub-50ms latency globally Cloudflare Workers
Large file storage (zero egress) Cloudflare R2
SQL database (global reads) Cloudflare D1
Containerized workloads Docker + Cloud Run/GKE
Enterprise Kubernetes GKE
Managed relational DB Cloud SQL
Static site + API Cloudflare Pages
Container orchestration Kubernetes
Package management for K8s Helm

Quick Start

# Cloudflare Worker
wrangler init my-worker && cd my-worker && wrangler deploy

# Docker
docker build -t myapp . && docker run -p 3000:3000 myapp

# GCP Cloud Run
gcloud run deploy my-service --image gcr.io/project/image --region us-central1

# Kubernetes
kubectl apply -f manifests/ && kubectl get pods

Reference Navigation

Cloudflare Platform

  • cloudflare-platform.md - Edge computing overview
  • cloudflare-workers-basics.md - Handler types, patterns
  • cloudflare-workers-advanced.md - Performance, optimization
  • cloudflare-workers-apis.md - Runtime APIs, bindings
  • cloudflare-r2-storage.md - Object storage, S3 compatibility
  • cloudflare-d1-kv.md - D1 SQLite, KV store
  • browser-rendering.md - Puppeteer automation

Docker

  • docker-basics.md - Dockerfile, images, containers
  • docker-compose.md - Multi-container apps

Google Cloud

  • gcloud-platform.md - gcloud CLI, authentication
  • gcloud-services.md - Compute Engine, GKE, Cloud Run

Kubernetes

  • kubernetes-basics.md - Core concepts, architecture, workloads
  • kubernetes-kubectl.md - Essential commands, debugging workflow
  • kubernetes-helm.md / kubernetes-helm-advanced.md - Helm charts, templates
  • kubernetes-security.md / kubernetes-security-advanced.md - RBAC, secrets
  • kubernetes-workflows.md / kubernetes-workflows-advanced.md - GitOps, CI/CD
  • kubernetes-troubleshooting.md / kubernetes-troubleshooting-advanced.md - Debug

Scripts

  • scripts/cloudflare-deploy.py - Automate Worker deployments
  • scripts/docker-optimize.py - Analyze Dockerfiles

Best Practices

Security: Non-root containers, RBAC, secrets in env vars, image scanning Performance: Multi-stage builds, edge caching, resource limits Cost: R2 for large egress, caching, right-size resources Development: Docker Compose local dev, wrangler dev, version control IaC

Resources