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Cloudflare Workers is a serverless edge compute platform that lets developers run JavaScript, TypeScript, or WebAssembly close to users on Cloudflare's global network. It provides fast cold starts, durable object and KV storage options, and integrated routing and security features for building APIs, microservices, and CDN-edge logic.
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Cloudflare Workers is a serverless edge-computing platform that runs JavaScript, TypeScript, or WebAssembly close to users. It combines low-latency execution at the network edge with routing rules, runtime bindings, and Cloudflare services.
The supplied sources document Workers as part of Cloudflare's edge and serverless environment, with routes, bindings, Durable Objects, KV, and related runtime building blocks. That gives the technical context: small pieces of logic are executed directly on the global network. A reliable public origin story—creator, launch date, or predecessor project—is not established in the evidence provided.
Think of Workers as a thin execution layer at the network edge. A request matches a route, enters an isolated runtime, and runs the worker code. Through bindings, the code talks to storage, objects, or external services. This keeps business logic small while routing, state, and access control remain separate responsibilities.
Cloudflare manages runtime and scaling while the code reacts to requests and events.
Route rules direct incoming requests to the appropriate worker or path.
Configured interfaces connect the worker to storage, services, and platform capabilities.
Coordinated objects keep shared state for a defined logical unit.
A distributed key-value model provides simple data with broad availability at the edge.
Useful for APIs, edge logic, security checks, and other low-latency functions that should run close to users. It is a strong fit when central infrastructure traffic should be reduced and deployment should stay lightweight. Limits appear with heavily stateful workloads, complex persistence, and Cloudflare-specific operational patterns; these require deliberate modeling and the right storage primitives.
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