# Hs:devops

> Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.

- Skill: `danielleit241/hs-devops` (Agent Skill, multi-file: 18 files)
- Install (CLI): `npx skillmds@latest add danielleit241/hs-devops`
- Raw SKILL.md: https://api.skillmd.com/api/skills/danielleit241/hs-devops/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- License: MIT
- Author: danielleit241 (https://skillmd.com/u/danielleit241)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/danielleit241/hs-devops

---


# 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

```bash
# 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

- Use upstream Kubernetes and Helm documentation for cluster-specific details.

### 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

- Cloudflare: https://developers.cloudflare.com
- Docker: https://docs.docker.com
- GCP: https://cloud.google.com/docs
- Kubernetes: https://kubernetes.io/docs
- Helm: https://helm.sh/docs