Fastly Compute
Fastly Compute — CDN and edge compute platform for global content delivery.
Stack Components
Why
Caches content at edge PoPs for low latency and reduced origin load. CDNs serve 70%+ of all internet traffic (Cisco 2024).
Cloudflare's 330+ PoP network and Fastly's 80+ PoPs cut TTFB by 60-80%, and cache hit ratios above 90% reduce origin load dramatically.
When
Use for global web apps, static assets, and edge logic. Avoid for single-region internal tools.
How
Example
Common Problems
- ⚠Fastly Compute cache key collisions — include variant headers in cache key
- ⚠Stale cache after deploy — use {ne} purge API or versioned URLs
- ⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical
Best Practices
- ✓Use Fastly Compute cache analytics to identify low hit-ratio paths
- ✓Enable {ne} compression (Brotli/Gzip) for text responses
- ✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit
FAQ
What is Fastly Compute and what projects is it for?
Fastly Compute — CDN and edge compute platform for global content delivery. It pairs layered technologies for end-to-end type safety and out-of-the-box deploys, fitting everything from MVPs to production SaaS.
How do I spin up a working demo with Fastly Compute in 10 minutes?
Two steps: (1) Configure Fastly Compute distribution; (2) Set cache rules and TTLs. Get the local dev server running, then wire one real data source to verify the end-to-end loop.
What is the most common pitfall with Fastly Compute and how do I avoid it?
The most common pitfall is: Fastly Compute cache key collisions — include variant headers in cache key. Avoid it by adding the matching checklist to your PR template and running type-check + lint + unit tests in CI — three gates before merge.
What are the best practices for Fastly Compute?
Best practices for Fastly Compute include: Use Fastly Compute cache analytics to identify low hit-ratio paths; Enable {ne} compression (Brotli/Gzip) for text responses; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Use Fastly Compute cache analytics to identify low hit-ratio paths" — should be set up at project init to avoid costly rework later.
When should I NOT choose Fastly Compute?
Pick something else in three cases: (1) the team has zero experience with the core framework and the deadline is tight (learning-curve risk); (2) it's a pure content/marketing site (Astro is lighter); (3) you need very high throughput (>10k RPS) or strict-consistency microservices (Go/Rust). Fastly Compute shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.