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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Google recommends that TTFB be 800ms at the 75th percentile. Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Caching the base page/HTML is common, and it should have a positive impact on backend times.

Servers 57
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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Last time out we saw how Google have been able to save millions of dollars though memory compression enabled via zswap. If we compress objects instead of cache lines though, we can get to a 56% compression ratio (c).

Cache 61
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How to Optimize Websites for Ad Publishers

Dotcom-Montior

As an ad publisher, your revenue depends on two main factors: traffic to your site and ad optimization. A lot of the focus goes into the practice and processes of driving traffic to your site from an SEO perspective, but what if when visitors get to your site, they have a less than ideal experience? Dotcom-Monitor Website Monitoring.

Website 92
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From Heavy Metal to Irrational Exuberance

ACM Sigarch

Second, optimization efforts for JavaScript were the subject of probably millions of developer hours by a number of companies, notably Google, Microsoft, and Mozilla, and built on decades of research in the PL community on how to optimize such languages (starting with the Self project , which started in the late 80s).

C++ 108
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Don’t Sink Your Website With Third Parties

Smashing Magazine

They can also highlight very long redirection chains in your third-party traffic. The most popular, by far, is the Google Lighthouse report (available in Chrome Developer Tools) and Google’s Page Speed Insights. They are more of a benchmark than a true measurement of real user experience. Large preview ).

Website 131
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The Performance Inequality Gap, 2021

Alex Russell

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate. The Moto G4 , for example.

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Can You Afford It?: Real-world Web Performance Budgets

Alex Russell

Budgets are scaled to a benchmark network & device. Deciding what benchmark to use for a performance budget is crucial. Our metrics at Google show a conflicted picture (which I’m working to get to clarity on). Simulated packet loss and variable latency, however, can make benchmarking extremely difficult and slow.