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The Return of the Frame Pointers

Brendan Gregg

Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. It shouldn't be 10%, unless it's cache effects. Back-end servers. Don't blame the straw, in this case, don't blame the frame pointers.

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How To Add eBPF Observability To Your Product

Brendan Gregg

cachestat File system cache statistics line charts. The architecture is: While the bpftrace binary is installed on all the target systems, the bpftrace tools (text files) live on a web server and are pushed out when needed. execsnoop New processes (via exec(2)) table. opensnoop Files opened table. ext4slower Slow filesystem I/O table.

Latency 145
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Is Intel Doomed in the Server CPU Space?

SQL Performance

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. Despite all of this, Intel is not going to lose their entire server processor business any time soon. So, what has changed my mind?

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How I Used Brotli to Get Even Smaller CSS and JavaScript Files at CDN Scale

CSS - Tricks

In 2015, Google published a blog post announcing Brotli and released its source code on GitHub. It took a few months for major CDN players to support Brotli, but meanwhile it was seeing widespread adoption in tools, services, browsers and servers. Maybe that’s why Pied Piper had to continue rigging its servers for more power.

Cache 79
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MariaDB vs MySQL: Key Differences and Use Cases

Percona

This blog post was originally published in November 2017 and was updated in June 2023. In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). MariaDB Server, on the other hand, is a fork of MySQL 5.5.

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Front-End Performance Checklist 2021

Smashing Magazine

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. It used to provide an insight into how quickly the server outputs any data.

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Using Parallel Query with Amazon Aurora for MySQL

Percona

I will compare AWS Aurora with MySQL (Percona Server) 5.6 Aurora Parallel Query response time (for queries which can not use indexes) can be 5x-10x better compared to the non-parallel fully cached operations. 84.1 | | version_comment | Percona Server (GPL), Release 84.1, MySQL on ec2.

Cache 46