When to Use Cloudflare

Best For:

Edge-first applications with global distribution
Ultra-low latency requirements (<50ms)
Static sites with serverless functions
Zero egress cost scenarios (R2 storage)
WebSocket/real-time applications (Durable Objects)
AI/ML at the edge (Workers AI)

Key Products:

Workers (serverless functions)
R2 (object storage, S3-compatible)
D1 (SQLite database with global replication)
KV (key-value store)
Pages (static hosting + functions)
Durable Objects (stateful compute)
Browser Rendering (headless browser automation)

Cost Profile: Pay-per-request, generous free tier, zero egress fees

When to Use Docker

Best For:

Local development consistency
Microservices architectures
Multi-language stack applications
Traditional VPS/VM deployments
Kubernetes orchestration
CI/CD build environments
Database containerization (dev/test)

Key Capabilities:

Application isolation and portability
Multi-stage builds for optimization
Docker Compose for multi-container apps
Volume management for data persistence
Network configuration and service discovery
Cross-platform compatibility (amd64, arm64)

Cost Profile: Infrastructure cost only (compute + storage)

When to Use Google Cloud

Best For:

Enterprise-scale applications
Data analytics and ML pipelines (BigQuery, Vertex AI)
Hybrid/multi-cloud deployments
Kubernetes at scale (GKE)
Managed databases (Cloud SQL, Firestore, Spanner)
Complex IAM and compliance requirements

Key Services:

Compute Engine (VMs)
GKE (managed Kubernetes)
Cloud Run (containerized serverless)
App Engine (PaaS)
Cloud Storage (object storage)
Cloud SQL (managed databases)

Cost Profile: Varied pricing, sustained use discounts, committed use contracts

Quick Start

Cloudflare Workers

Create and deploy Worker

wrangler init my-worker cd my-worker wrangler deploy

See: references/cloudflare-workers-basics.md

Docker Container

Build and run

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

See: references/docker-basics.md

Google Cloud Deployment

Deploy to Cloud Run

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

See: references/gcloud-platform.md

Reference Navigation

Cloudflare Platform

cloudflare-platform.md - Edge computing overview, key components
cloudflare-workers-basics.md - Getting started, handler types, basic patterns
cloudflare-workers-advanced.md - Advanced patterns, performance, optimization
cloudflare-workers-apis.md - Runtime APIs, bindings, integrations
cloudflare-r2-storage.md - R2 object storage, S3 compatibility, best practices
cloudflare-d1-kv.md - D1 SQLite database, KV store, use cases
browser-rendering.md - Puppeteer/Playwright automation on Cloudflare

Docker Containerization

docker-basics.md - Core concepts, Dockerfile, images, containers
docker-compose.md - Multi-container apps, networking, volumes

Google Cloud Platform

gcloud-platform.md - GCP overview, gcloud CLI, authentication
gcloud-services.md - Compute Engine, GKE, Cloud Run, App Engine

Python Utilities

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

Common Workflows

Edge + Container Hybrid

Benefits:

- Edge caching and routing

- Containerized business logic

- Global distribution

Multi-Stage Docker Build

Production stage

FROM node:20-alpine WORKDIR /app COPY --from=build /app/dist ./dist COPY --from=build /app/node_modules ./node_modules USER node CMD ["node", "dist/server.js"]

CI/CD Pipeline Pattern

Best Practices

Security

Run containers as non-root user
Use service account impersonation (GCP)
Store secrets in environment variables, not code
Scan images for vulnerabilities (Docker Scout)
Use API tokens with minimal permissions

Performance

Multi-stage Docker builds to reduce image size
Edge caching with Cloudflare KV
Use R2 for zero egress cost storage
Implement health checks for containers
Set appropriate timeouts and resource limits

Cost Optimization

Use Cloudflare R2 instead of S3 for large egress
Implement caching strategies (edge + KV)
Right-size container resources
Use sustained use discounts (GCP)
Monitor usage with cloud provider dashboards

Development

Use Docker Compose for local development
Wrangler dev for local Worker testing
Named gcloud configurations for multi-environment
Version control infrastructure code
Implement automated testing in CI/CD

Decision Matrix

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
WebSocket/real-time	Cloudflare Durable Objects
ML/AI pipelines	GCP Vertex AI
Browser automation	Cloudflare Browser Rendering

Resources

Cloudflare Docs: https://developers.cloudflare.com
Docker Docs: https://docs.docker.com
GCP Docs: https://cloud.google.com/docs
Wrangler CLI: https://developers.cloudflare.com/workers/wrangler/
gcloud CLI: https://cloud.google.com/sdk/gcloud

Implementation Checklist

Cloudflare Workers

Install Wrangler CLI
Create Worker project
Configure wrangler.toml (bindings, routes)
Test locally with wrangler dev
Deploy with wrangler deploy

devops

DevOps Skill

Platform Selection Guide