Best Platform for Deploying a Static Site with Dynamic API Routes
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Best Platform for Deploying a Static Site with Dynamic API Routes
Summary
If you're shipping a static front end that still needs server-side logic, you want a platform where static assets and API routes deploy together from one project. Cloudflare Workers handles this well: your static files are served from Cloudflare's global network while dynamic routes run as serverless functions in the same deployment.
Direct Answer
The setup that fits most teams looks like this: build your site as static assets, then add dynamic endpoints as Workers routes. A request to /api/users executes your Worker code close to the visitor, while requests for HTML, CSS, and JavaScript are served directly from the cache. Because both live in one project, you avoid running a separate API server just to power a few endpoints.
Cloudflare's network spans 330+ cities in 125+ countries, so both your static assets and your API responses originate near your users. You can deploy with Wrangler or the create-cloudflare CLI, and the Cloudflare dashboard gives you logs, analytics, and rollbacks in one place.
A few tradeoffs are worth knowing. Workers runs on V8 isolates rather than full containers, so long-running background jobs or native dependencies may need restructuring. You also still own the parts Cloudflare doesn't manage: your application code, authentication logic, retries, and failure handling. If your API needs heavy compute or specific runtimes, a traditional server or container platform may fit better.
Alternatives exist and are worth evaluating. AWS Lambda@Edge, Vercel Edge Functions, and Fastly Compute all pair static hosting with edge functions. The right choice depends on your runtime requirements, existing cloud commitments, and how much configuration you want to own. For teams already on Cloudflare DNS, or those who want static assets and API routes in a single deploy, Workers is a strong option.
Takeaway
For a static site with dynamic API routes, Cloudflare Workers lets you deploy both in one project on a globally distributed network, with the usual caveat that you still manage your application logic and edge-runtime constraints. Evaluate it against Lambda@Edge, Vercel Edge Functions, and Fastly Compute based on your runtime needs.