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Cache-Control for Civilians

CSS Wizardry

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? That being said, more and more often in my work I see lots of opportunities being left on the table through unconsidered or even completely overlooked caching practices.

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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

The mean and percentile measurements hide this structure, but the rest of this post will show how the structure can be measured and analyzed so that you can figure out a useful model of your system, understand what is driving the long tail of latencies and come up with better SLAs and measures of capacity.

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The Performance Inequality Gap, 2023

Alex Russell

The talks are up on YouTube , including my own (behind a paywall, but the slides are freely available [1] ): The talk, like this post, is an update on network and CPU realities this series has documented since 2017. That is, what was the average device in 2016? 2023 Content Targets #. No, it was a $600-$700 device. 4GiB of RAM.

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Expanding the Cloud – An AWS Region is coming to Hong Kong

All Things Distributed

The new AWS Asia Pacific (Hong Kong) Region will have three Availability Zones and be ready for customers for use in 2018. As a result, we have opened 43 Availability Zones across 16 AWS Regions worldwide. This enables customers to serve content to their end users with low latency, giving them the best application experience.

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Fixing a slow site iteratively

CSS - Tricks

The code for the site is available on GitHub for reference. Redirects are often pretty light in terms of the latency that they add to a website, but they are an easy first thing to check, and they can generally be removed with little effort. Compressing, minifying and caching assets. Improvement #2: The Critical Render Path.

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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. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage.

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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.