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Critical CSS? Not So Fast!

CSS Wizardry

Honestly, in this scenario, my advice is almost always: don’t bother trying to retrofit Critical CSS—just hash-n-cache 1 2 the living daylights out of your existing CSS bundles until you replatform and do it differently next time. priority request, and hits the network after the JavaScript. How do we automate it? performance.

Media 351
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Measure What You Impact, Not What You Influence

CSS Wizardry

As I see it, there are two main issues when it comes to measuring performance changes (note, not improvements , but changes) in the lab: Site-speed is nondeterministic 1. I can reload the exact same page under the exact same network conditions over and over, and I can guarantee I will not get the exact same, say, DOMContentLoaded each time.

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

Speed Curve

Cue server-timing headers Historically, when looking at page speed, we've had the tendency to ignore TTFB when trying to optimize the user experience. Caching the base page/HTML is common, and it should have a positive impact on backend times. The use of server-timing headers by content delivery networks closes a big gap.

Servers 57
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Gzip vs Brotli – Best Browser Compression

MachMetrics

But we’ll definitely help you decide which is the best choice for your situation. These compressed files allow for quicker network transfers so that your website can be loaded as fast as possible. Many caching plugins like WPRocket also offer Gzip compression right out of the box. OK, not really. What is HTTP Compression?

Speed 67
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Cache-Control for Civilians

CSS Wizardry

The best request is the one that never happens: in the fight for fast websites, avoiding the network is far better than hitting the network at all. To this end, having a solid caching strategy can make all the difference for your visitors. ?? How is your knowledge of caching and Cache-Control headers?

Cache 264
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Optimize Images for Web

KeyCDN

When it comes to marketing your website, there are a lot of different aspects to consider, such as speed, SEO, conversation rates, bounce rate, and many others. An easy way to compress images is with our image processing service that happens to also be fully integrated into our existing network.

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Upcoming of the learned data structures

Abhishek Tiwari

They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory. More importantly, learned bloom filter definitely improves memory footprint - roughly 2X space improvement over traditional bloom filter with the same false positive rate.