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Measure What You Impact, Not What You Influence

CSS Wizardry

Most metrics are not atomic: FCP, for example, isn’t a metric we can optimise in isolation—it’s a culmination of other more atomic metrics such as connection overhead, TTFB, and more. As noted above, it’s not actually possible to improve certain metrics in their own right. mark ( ' HEAD Start ' ); performance. duration ).

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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. Caching the base page/HTML is common, and it should have a positive impact on backend times. But what happens when it doesn't?

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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Understanding MySQL Triggers: Exploring How Triggers Impact MySQL Memory Allocation

Percona

Testing and Benchmarking : Thoroughly test triggers in a staging environment to evaluate their impact on performance. Benchmark different trigger implementations to identify the most efficient option. These table cache instances could be accessed concurrently, allowing DML to use cached table descriptors without locking each other.

Cache 60
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Fixing a slow site iteratively

CSS - Tricks

Site performance is potentially the most important metric. Google’s industry benchmarks from 2018 also provide a striking breakdown of how each second of loading affects bounce rates. Having a slow site might leave you on page 452 of search results, regardless of any other metric. Compressing, minifying and caching assets.

Cache 92
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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. This can turn a 1% overhead (syscall cycles alone) into a 7% overhead. In more detail: ## 1.

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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. This can turn a 1% overhead (syscall cycles alone) into a 7% overhead. In more detail: ## 1.