Learn FASTLY-COMPUTE-EDGE with Real Code Examples

Sign up for a Fastly account

Install Fastly CLI (`fastly`) locally

Create a Compute@Edge service project

Compile function to WebAssembly (Wasm)

Deploy function to Fastly edge via CLI or GitHub integration

Install Fastly CLI

Create or select Fastly account

Configure API token for deployment

Install language toolchain (Rust/AssemblyScript/C)

Build and deploy first edge function

fastly.toml - service configuration

Cargo.toml / package.json - dependencies

src/ - source code

dist/ - compiled WebAssembly module

scripts/ - build/deploy scripts

fastly compute init -> initialize project

fastly compute build -> compile Wasm module

fastly compute deploy -> deploy service to edge

fastly compute serve -> run locally

fastly compute logs -> inspect execution logs

UTF-8 supported by default

Edge logic can apply localization per user/request

Global edge nodes reduce latency worldwide

Integration with translation APIs possible

Developers handle localized content in function code

Accessible globally via Fastly edge network

Controlled via API keys and ACLs

Edge logic applies to all HTTP requests

Supports CORS for web clients

Logs and metrics accessible via Fastly dashboard

No native UI - backend only

Integrate with frontend apps via HTTP APIs

Custom responses can include HTML, JSON, or binary content

Use edge logic for A/B testing and personalization

Optional dashboards via Fastly UI

Stateless per request

Use external caches, databases, or APIs for persistent state

Temporary memory available during execution

Environment variables for configuration

No local storage persistence between requests

Input via HTTP requests

Output via HTTP responses

Edge cache stores frequently requested content

Optional external database integration

Logs and metrics stored for monitoring