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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. The use of server-timing headers by content delivery networks closes a big gap. Definitely worth a read!

Servers 57
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Cumulative Layout Shift: What it measures, when it works (and doesn't), and how to use it

Speed Curve

Back in May, we shared that SpeedCurve supports Google's Core Web Vitals in both our synthetic monitoring and LUX real user monitoring tools. According to Google, pages should maintain a CLS score of less than 0.1 Here are the current US media benchmarks on a fast desktop connection , ranked by CLS score. recommended by Google.

Retail 81
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Is MongoDB Open Source? Is Planet Earth Flat?

Percona

Though still not “profitable” by many benchmarks, it’s a lot closer to being so, perhaps in a big way.) That early decision was notable because whereas the GPL is applied if derivative work is distributed, the AGPL license applies both for distributed work and whenever end users interact with a program over a network.

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Upcoming of the learned data structures

Abhishek Tiwari

This is a question recently asked and explored by a team of Google researchers led by Jeff Dean with a major focus on database indexes. Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. Learned Bloom filters. What's next.

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Ten years of page bloat: What have we learned?

Speed Curve

But pages keep getting bigger and more complex year over year – and this increasing size and complexity is not fully mitigated by faster devices and networks, or by our hard-working browsers. How does page bloat affect other metrics, such as Google's Core Web Vitals? Clearly we need to keep talking about it.

Mobile 145
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Fixing a slow site iteratively

CSS - Tricks

Google’s industry benchmarks from 2018 also provide a striking breakdown of how each second of loading affects bounce rates. Source: Google /SOASTA Research, 2018. Speed is also something Google considers when ranking your website placement on mobile. billion if the site slowed down by just one second. Lighthouse.

Cache 92
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The Performance Inequality Gap, 2024

Alex Russell

It's time once again to update our priors regarding the global device and network situation. seconds on the target device and network profile, consuming 120KiB of critical path resources to become interactive, only 8KiB of which is script. What's changed since last year? and 75KiB of JavaScript. These are generous targets.