Developer-first API Response Caching

When a request triggers the same expensive computation over and over — a dashboard aggregation, a generated report, a fan-out API call that's identical for thousands of users — you're paying compute repeatedly for an answer that didn't change. The pattern here is precompute-and-serve-static: render the response once, write it to files.link, and let the global CDN hand the bytes to every subsequent caller. An expensive dynamic endpoint becomes a cheap static file fetch from a nearby edge.

Concretely: when your underlying data updates, your backend serializes the result (JSON, CSV, a rendered PDF report, Protocol Buffers, whatever the consumer expects) and uploads it — POST /v1/files/{folderId} returns { success, urls:[{url,id,...}] }, PUT the bytes to the presigned url, POST /v1/files/confirm-upload with { ids:[...] }, authenticating with your raw API key.

Clients then read the stable CDN URL instead of hitting your origin. Your application code shrinks to "regenerate the file when the source data changes," and read traffic — the part that scales unpredictably — never touches your servers or database at all.

This differs from a key-value cache like Redis or Workers KV in two useful ways: there's no per-object size cap to design around, so a multi-megabyte report or a large dataset export caches as easily as a tiny JSON blob; and delivery is edge-CDN, so a viral endpoint is absorbed by the CDN rather than hammering a cache cluster. The trade-off is that this fits content that changes on a known cadence (per minute, per data update, per publish) rather than per-request personalized data — for that, keep your in-memory cache and use files.link for the shared, cacheable layer underneath.

Good companions: json-pastebin for ad-hoc JSON, csv-file-storage and xml-file-storage for tabular and structured exports, static-website-assets for the front-end half, configuration-files-storage for settings you serve the same way, and no-egress-fees-storage plus affordable-cdn for the economics of high read volume. cloud-file-storage-api covers the endpoints. Billing is prepaid credits against storage and bandwidth.