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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. The scale of the effect can be deeply situational or hard to suss out without solid metrics.
Among the many things Ilya observed after analyzing HTTP Archive data for desktop sites, when you have outliers that weigh in at 30MB+ and more than 90% of your pages are under 5MB, an "average page size" of 2227KB (back in 2016) doesn't mean much. And if we don't consider page size a meaningful metric, then what should we care about?
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 ). Building separate models for each of the benchmarks was required to get the correct asymptotic properties.
Budgets are scaled to a benchmark network & device. This helps support executive sponsors who then have meaningful metrics to point to in justifying the investments being made. Very rarely have we seen a team succeed that doesn’t set budgets, gather RUM metrics, and carry representative customer devices.
Teams I've consulted are too often wrenched between celebration over "the big rewrite" launch and the morning-after realisation that the new stack is tanking business metrics. Competent managers will begin to look for more general "industry standard" baseline metrics to report against their data. Photo by Jay Heike.
These are the bestsellers in the web performance field, including the good old Speed Up Your Site (2003) by Andy King; Steve Souders’ Even Faster Web Sites (2009) ; Ilya Grigorik’s High Performance Browser Networking (2013) ; Tammy Everts’ Time is Money (2016) ; and a handful of more recent publications. Time is Money.
As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. Another window into this question is provided by the Web Confluence Metrics project.
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 ). Building separate models for each of the benchmarks was required to get the correct asymptotic properties.
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. Source: Google /SOASTA Research, 2018.
Follow him on Twitter @ RickByers and be sure to watch the video of his conversation at Chrome Dev Summit 2016 , where he discussed the ways Chrome is “improving predictability for developers.” Prior to founding start-ups, Luke was an Entrepreneur in Residence (EIR) at Benchmark Capital , the Chief Design Architect (VP) at Yahoo!,
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