Learn FASTLY-COMPUTE-EDGE with Real Code Examples
Updated Nov 25, 2025
Installation Setup
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
Environment Setup
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
Config Files
fastly.toml - service configuration
Cargo.toml / package.json - dependencies
src/ - source code
dist/ - compiled WebAssembly module
scripts/ - build/deploy scripts
Cli Commands
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
Internationalization
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
Accessibility
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
Ui Styling
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
State Management
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
Data Management
Input via HTTP requests
Output via HTTP responses
Edge cache stores frequently requested content
Optional external database integration
Logs and metrics stored for monitoring