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The Performance Inequality Gap, 2021

Alex Russell

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Modern network performance and availability. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively.

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10 Steps to Prepare Your Website for High-Load Days: Are You Ready for Black Friday?

Rigor

It’s about ensuring that your front-end is also working perfectly, that your site can deliver a delightful experience to your users or customers, and that it is functional – even when it’s experiencing up to seven or more times the typical traffic load. Traffic patterns outside of normal [RUM or Analytics].

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Cache and Prizes

Alex Russell

The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Removal also creates a performance cliff for content that assumes cache availability. One available proxy is the distribution of use from Google's hosted JS libraries. None of this holds. Thar be dragons.

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Load scripts async

Speed Curve

Because the HTML parser stopped, all network traffic also stopped (because no other HTML tags were parsed to initiate HTTP requests). It's great that the async attribute is available and well known, but synchronous script loading is still the default. The number of sync dropped and async rose in June 2016. Enter the Preloader.

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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

This was a keynote presentation at the “2nd International Workshop on Performance Modeling: Methods and Applications” (PMMA16), June 23, 2016, Frankfurt, Germany (in conjunction with ISC16 ). Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time.

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A Management Maturity Model for Performance

Alex Russell

through one of the dozens of analytics tools they've inevitably integrated over the years), but nobody looks at it. These organisations may perform incidental data collection (from business analytics tools, e.g.) but are inconsistently reviewing performance metrics or considering them when formulating KPI s and OKR s. Photo by von Vix.

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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

Testing shows that by using the Fua bit with the data, write request can reduce the I/O traffic by ~50% for a SQL Server, write-intensive workload. Patrick and Purvi doing performance and regression analytics. Filesystem Type 1K-blocks Used Available Use% Mounted on. Starting with the Linux 4.18 4 Socket, TPCC. 2 Socket, TPCC.

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