Demos and architectures

A prescriptive pattern for building a Cloudflare-based L7 performance architecture that reduces latency, raises cache efficiency, and improves Core Web Vitals.

A practical example of how these services come together in a real fullstack application architecture.

Store user-generated content in R2 for fast, secure, and cost-effective architecture.

This diagram showcases Cloudflare components optimizing connected transportation systems. It illustrates how their technologies minimize latency, ensure reliability, and strengthen security for critical data flow.

You can connect a Cloudflare Worker to get data from Google BigQuery and pass it to Workers AI, to run AI Models, powered by serverless GPUs.

Use Cloudflare Workers or an external service to monitor for notifications about data changes and then handle them appropriately.

Use Cloudflare migration tools to migrate data between cloud object storage providers.

Learn how to get a scalable, high-performance solution to optimizing image delivery.

The architecture diagram illustrates how AI applications can be built end-to-end on Cloudflare, or single services can be integrated with external infrastructure and services.

Cloudflare enables fully serverless ETL pipelines, significantly reducing complexity, accelerating time to production, and lowering overall costs.

Learn how to use R2 to get egress-free object storage in multi-cloud setups.

By integrating automatic speech recognition technology into video platforms, content creators, publishers, and distributors can reach a broader audience, including individuals with hearing impairments or those who prefer to consume content in different languages.

Leverage various components of Cloudflare's ecosystem to construct a scalable image management solution