DevOps Skill

Deploy and manage cloud infrastructure across Cloudflare edge, Docker containers, and Google Cloud Platform.

When to Use

Deploying serverless to Cloudflare Workers
Containerizing apps with Docker
Managing GCP infrastructure
Setting up CI/CD pipelines
Multi-region deployments

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
Static site + API	Cloudflare Pages
WebSocket/real-time	Durable Objects
ML/AI pipelines	GCP Vertex AI

Common Use Cases

Edge-First API

Who: Startup needing global low-latency

"Deploy my API to Cloudflare Workers with R2 for file storage
and D1 for user data. Need sub-50ms response times globally."

Containerized Microservices

Who: Team migrating monolith to microservices

"Containerize our Node.js services with Docker multi-stage builds.
Deploy to Cloud Run with auto-scaling. PostgreSQL on Cloud SQL."

Full-Stack Deployment

Who: Solo developer shipping fast

"Deploy my Next.js app to Cloudflare Pages with Workers for API routes.
Use R2 for uploads, D1 for database."

Enterprise Kubernetes

Who: Platform team at scale

"Set up GKE cluster with auto-scaling node pools.
Configure Ingress, SSL, monitoring with Cloud Operations."

Local Dev Environment

Who: Developer onboarding to project

"Create Docker Compose setup with app, PostgreSQL, and Redis.
Match production config for local development."

Quick Start

Cloudflare Workers

npm install -g wrangler
wrangler init my-worker
wrangler deploy

Docker

docker build -t myapp .
docker run -p 3000:3000 myapp

Google Cloud

gcloud run deploy my-service \
  --image gcr.io/project/image \
  --region us-central1

Key Capabilities

Platform	Products
Cloudflare	Workers, R2, D1, KV, Pages, Durable Objects
Docker	Multi-stage builds, Compose, cross-platform
GCP	Compute Engine, GKE, Cloud Run, Cloud SQL

Pro Tips

Zero egress costs: Use Cloudflare R2 instead of S3 for large file serving
Multi-stage builds: Reduce Docker image size by 50-80%
Local testing: wrangler dev for Workers, Docker Compose for containers
Run as non-root: Always use USER node in production Dockerfiles
Not activating? Say: “Use the devops skill to…”

Docker - Container deep-dive
Databases - PostgreSQL, MongoDB setup
Backend Development - API patterns

Key Takeaway

Choose Cloudflare for edge-first with zero egress, Docker for containerization, and GCP for enterprise scale. Combine platforms for optimal architecture.