CF Workers Pro-AI-powered Cloudflare Workers tool

Example

A global content delivery network that hosts APIs for a SaaS platform

Scenario

CF Workers Pro allows developers to run serverless code directly at the edge of Cloudflare’s network, reducing latency for users accessing the platform from various locations. For example, a SaaS platform offering API services can use CF Workers Pro to ensure API responses are delivered in milliseconds to global users without relying on centralized servers.

Example

Mitigating DDoS attacks automatically while serving content

Scenario

With CF Workers Pro, security is integrated directly into the execution environment. This includes protection against DDoS attacks, bot traffic, and other malicious activities. For instance, an online retailer could use CF Workers Pro to ensure that its website remains online and responsive during a traffic surge or targeted attack by blocking suspicious requests before they reach the origin server.

Example

Scaling a web application during a high-traffic event

Scenario

CF Workers Pro automatically scales your application in response to demand, without requiring manual infrastructure management. For instance, during a Black Friday sale, an e-commerce website can rely on CF Workers Pro to handle millions of requests without provisioning additional servers or managing load balancers, ensuring a seamless experience for all customers.

Example

Efficiently routing requests and caching content based on geolocation

Scenario

Using programmable routing, a media streaming service can direct users to the nearest available server, while CF Workers Pro dynamically caches content at the edge. This reduces latency and ensures high-quality streaming experiences, as content is delivered quickly from the nearest edge server rather than from a distant origin.

Example

Real-time monitoring of an application’s performance at the edge

Scenario

CF Workers Pro provides detailed observability tools, including logging and analytics. For instance, a fintech company running an API can monitor real-time performance, error rates, and user behaviors at the edge. These insights help in identifying performance bottlenecks or security threats early, enabling prompt responses to issues.