ak-devops

name	ak:devops
description	Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.
user-invocable	true
when_to_use	Invoke for cloud, containers, Kubernetes, CI/CD, or GitOps.
category	infrastructure
keywords	["cloudflare","docker","gcp","kubernetes","cicd"]
license	MIT
argument-hint	[platform] [task]
metadata	{"author":"agentkit","version":"2.0.0"}

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