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today's leftovers: GNU/Linux at Dropbox, Debian and Gentoo Development, Managing Linux Disks

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Misc
  • Optimizing web servers for high throughput and low latency

    This is an expanded version of my talk at NginxConf 2017 on September 6, 2017. As an SRE on the Dropbox Traffic Team, I’m responsible for our Edge network: its reliability, performance, and efficiency. The Dropbox edge network is an nginx-based proxy tier designed to handle both latency-sensitive metadata transactions and high-throughput data transfers. In a system that is handling tens of gigabits per second while simultaneously processing tens of thousands latency-sensitive transactions, there are efficiency/performance optimizations throughout the proxy stack, from drivers and interrupts, through TCP/IP and kernel, to library, and application level tunings.

  • Summary of the discussion on off-line keys.
  • Xiaomi’s stunning Mi Mix gets a sequel, the Mi Mix 2
  • Squeezing More Juice Out Of Gentoo With Graphite, LTO Optimizations

    Developer Shane Peelar has come up with a Gentoo Portage configuration for building out the distribution with aggressive compiler optimizations in the name of performance.

    Peelar's Gentoo configuration will build with -O3 optimizations, GCC Graphite optimizations, and LTO (Link Time Optimizations).

  • Debian-Administration.org is closing down

    The site will go read-only at the end of the month, and will slowly be stripped back from that point towards the end of the year - leaving only a static copy of the articles, and content.

  • What you need to know to manage Linux disks

    There are numerous other commands for examining disks and file systems. Those described here are some of the most useful and informative. Using them periodically has advantages as the easiest way to spot problems is becoming so used to the output of commands such as these that you easily spot the kind of differences that might indicate problems.

  • Install and Configure LEMP in Debian 9

More in Tux Machines

SUSE on Storage

Games: The Spicy Meatball Saves The Day, Uebergame, DwarfCorp

Android Leftovers

Baidu puts open source deep learning into smartphones

A year after it open sourced its PaddlePaddle deep learning suite, Baidu has dropped another piece of AI tech into the public domain – a project to put AI on smartphones. Mobile Deep Learning (MDL) landed at GitHub under the MIT license a day ago, along with the exhortation “Be all eagerness to see it”. MDL is a convolution-based neural network designed to fit on a mobile device. Baidu said it is suitable for applications such as recognising objects in an image using a smartphone's camera. Read more