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On the other hand, letting our universal application deal with every request that comes from a logged-in user means it now has to handle a load it was never designed for.

We work around this problem by serving the same cached listing pages from our CDN to every single user — logged in or not — and having Java Script fill in the missing information after page load.

However, we can’t blindly serve a cached page from the CDN to a user who is logged into abof.

A customer who is logged in sees a few extra bits of information on each listing page: Since this information varies from user to user, caching the page is not an option for logged-in users.

This optimization is straightforward to apply to requests that come from customers who are not logged into their abof accounts.

Any given listing page will look identical to all of these anonymous users, which means we can serve them whatever the CDN has cached.

This architecture allowed our components to be oblivious of GTM while still allowing analytics data to be collected at a very granular level.

Once our universal React app renders a product listing page on the server, abof’s CDN caches it for 10 minutes.

This not only shaves a few hundred milliseconds off our load time, but also helps keep abof’s server bills down.

Another 12 products are loaded asynchronously the moment our Java Script bundle loads and React takes over the page.

From this point on, a new set of products is loaded whenever the user scrolls to the last loaded page.

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A recent post on the Google Developers blog talks about the challenges inherent in implementing an efficient infinite scrolling list in the browser.

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