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New web performance insights with additional metrics and enhanced Visually complete for synthetic monitors

Dynatrace

Recently introduced improvements to Visually complete and new web performance metrics for Real User Monitoring are now available for Synthetic Monitoring as well. Ensure better user experience with paint-focused performance metrics. These metrics are tightly connected to the perceived load speed of your application.

Metrics 213
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An Opinionated Guide to Performance Budgets

Speed Curve

Web pages are unbelievably complex, and there are hundreds of different metrics available to track. A performance budget is a threshold that you apply to the metrics you care about the most. This is when you run into three important questions: Which metrics should you focus on? Which metrics should you focus on?

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

Speed Curve

However, that pesky 20% on the back end can have a big impact on downstream metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), and any other 'loading' metric you can think of. Google recommends that TTFB be 800ms at the 75th percentile. Definitely worth a read!

Servers 57
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Average Page Load Times for 2020 – Are you faster?

MachMetrics

Similar to our article Average Page Load Times for 2018 , we’ll go over the averages for metrics and help you determine if your site is faster or slower than average. As you know, there are many metrics that determine a website’s page speed, and we can’t look at just one of them to determine how performant our site is.

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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. The newcomer to the scene was Cumulative Layout Shift (CLS), and, not surprisingly, it's the metric that's gotten the most questions. recommended by Google. How is it calculated?

Retail 80
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How To Benchmark And Improve Web Vitals With Real User Metrics

Smashing Magazine

How To Benchmark And Improve Web Vitals With Real User Metrics. How To Benchmark And Improve Web Vitals With Real User Metrics. Rest assured, all these definitions (and others) would be correct, provided the right context. Web Vitals are Google’s answer to standardizing web performance. Átila Fassina.

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Ten years of page bloat: What have we learned?

Speed Curve

How does page bloat affect other metrics, such as Google's Core Web Vitals? A Google machine-learning study I participated in a few years ago found that the total number of page elements was the single greatest predictor of conversions. These numbers should not be taken as a benchmark for your own site. First Input Delay.

Mobile 145