The client-side layer

Web Browser Cache Index

Understand the difference between a reusable HTTP response and other browser storage.

The idea, in context

A browser can retain several kinds of material, including HTTP responses and application-managed data. A web browser cache index is best understood as a map of those stores and the rules governing each one. The ordinary HTTP cache follows HTTP caching semantics; the Cache API is controlled by application code. Local storage and IndexedDB are separate mechanisms again. When diagnosing a stale page, first identify which store is involved instead of treating every saved byte as one cache.

Read the response evidence

Inspect the resource URL, Cache-Control, validators, and relevant request headers. Separate a response served from stored data from one revalidated against the origin. Browser developer tools can help, but disabling cache for a debugging session changes the behavior you are observing.

Check application-managed caches

If the site uses a service worker, review its fetch handling and cache lifecycle. A new HTML document does not necessarily replace every asset an application stored. Version application caches deliberately and define when obsolete versions are removed.

Match asset identity to deployment

Versioned filenames can help distinguish changed assets. Keep HTML and the assets it references compatible during a deployment. If a stale client asks for an older resource, decide whether it remains available or whether the application can recover cleanly.

Questions about web browser cache index

Does no-cache prevent storage?

No. In HTTP caching, no-cache requires validation before reuse. The no-store directive expresses a different restriction on storing the response. The distinction matters when diagnosing repeated network requests.

Will clearing browser cache fix the server?

Clearing local material may help isolate a problem, but it does not repair an origin response or a shared intermediary cache. Follow the request through the relevant layers.

Start with one good question.

Follow a topic, explore the tradeoffs, and go deeper in the Lab.

Get to know the cache