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Leftovers: Servers

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  • How Docker and containers improved software development at eZ

    Docker sparked the trend in software containers less than two years ago. And since its modest presentation at PyCon in 2013, the startup has vaulted to a value of nearly one billion dollars, drawn 2,500 attendees to DockerCon, and its namesake technology has become a marketable skill to have, entering Hacker News' top 20 most frequently requested job skills.

  • Apache Turns to Big Data Projects -- Big Time

    Kylin. Meanwhile, the foundation has also just announced that Apache Kylin, an open source big data project born at eBay, has graduated to Top-Level status. Kylin is an open source Distributed Analytics Engine designed to provide an SQL interface and multi-dimensional analysis (OLAP) on Apache Hadoop, supporting extremely large datasets. It is widely used at eBay and at a few other organizations.

    "Apache Kylin's incubation journey has demonstrated the value of Open Source governance at ASF and the power of building an open-source community and ecosystem around the project," said Luke Han, Vice President of Apache Kylin. "Our community is engaging the world's biggest local developer community in alignment with the Apache Way."

  • 10 cool tools from the Docker community

    Looking back at 2015, there have been many projects created by the Docker community that have advanced the developer experience. Although choosing among all the great contributions is hard, here are 10 "cool tools" that you should be using if you are looking for ways to expand your knowledge and use of Docker.

More in Tux Machines

Audiocasts/Shows: Late Night Linux, Destination Linux, and More

Kernel: Slowdown, CephFS, and FS-Cache / CacheFiles

  • How a performance boost in Linux kernel for one family of Intel chips slowed its latest Alder Lake processors

    The mixture of performance and efficiency CPUs in Intel’s 12th-gen Core processors, code-named Alder Lake, hasn’t just been causing problems for some Windows gamers – it almost led to complications for Linux. Phoronix’s Michael Larabel noticed a performance hit in the kernel a fortnight ago – in a work-in-progress release candidate, we should stress – and a fix for the scheduling code landed a little later. It turned out the kernel suffered on Alder Lake chips due to a performance-enhancing tweak for another Intel processor family: the multiple-Atom-core-based Jacobsville. This year, Intel officially canned its Lakefield chips. These consisted of a performance core called Sunny Cove as well as Atom-class efficiency cores dubbed Tremont. Crucially, there are still multi-Tremont-core embedded processors out there, such as Snow Ridge. These are server and infrastructure-oriented components with up to 24 cores. The first proposed cut of kernel 5.16, specifically 5.16-rc1, contained a revision to the scheduler that makes it aware that some clusters of cores share a block of L2 cache – as seen in Snow Ridge and Jacobsville.

  • Testing the Linux Kernel CephFS Client with xfstests

    I do a lot of testing with the kernel cephfs client these days, and have had a number of people ask about how I test it. For now, I’ll gloss over the cluster setup since there are other tutorials for that.

  • Major Rewrite Of Linux's FS-Cache / CacheFiles So It's Smaller & Simpler - Phoronix

    As part of David Howells of Red Hat long-term work on improving the caching code used by network file-systems, he today posted a big patch series rewriting the fscache and cachefiles code as the latest significant step on that adventure. Howells posted a set of 64 patches for rewriting the kernel's fscache and cachefiles code. Linux's fsache is a general purpose cache used by network file-systems while cachefiles is for providing a caching back-end for mounted local file-systems. The Red Hat engineer has been working on this rewrite for more than the past year.

Ubuntu Weekly Newsletter and Ubuntu Desktop on Google Clown

  • Ubuntu Weekly Newsletter Issue 711

    Welcome to the Ubuntu Weekly Newsletter, Issue 711 for the week of November 21 – 27, 2021. The full version of this issue is available here.

  • Launch Ubuntu Desktop on Google Cloud

    This tutorial shows you how to set up a Ubuntu Desktop on Google Cloud. If you need a graphic interface to your virtual desktop on the cloud, this tutorial will teach you how to set up a desktop environment just like what you can get on your own computer.

Open Hardware/Modding: ESP32, 3-D Printing, Raspberry Pi Pico, PocketBeagle

  • Wireless thermal printer kit features M5Stack ATOM Lite controller - CNX Software

    This is certainly not the first ESP32 thermal printer solution, as there are various implementations including bitbank2 thermal printer Arduino connecting ESP32 and nRF52 boards to the printer over Bluetotoh LE, or a Arduino sketches to print bitmaps over serial or MQTT.

  • Generate Fully Parametric, 3D-Printable Speaker Enclosures | Hackaday

    Having the right speaker enclosure can make a big difference to sound quality, so it’s no surprise that customizable ones are a common project for those who treat sound seriously. In that vein, [zx82net]’s Universal Speaker Box aims to give one everything they need to craft the perfect enclosure.

  • Z80 Video Output Via The Raspberry Pi Pico | Hackaday

    Building basic computers from the ground up is a popular pastime in the hacker community. [Kevin] is one such enthusiast, and decided to whip up a video interface for his retro Z80 machine.

  • The Calculator Charm: Calculatorium Leviosa! | Hackaday

    Have you ever tried waving your hand around like a magic wand and summoning a calculator? We would guess not since you’d probably look a little silly doing so. That is unless you had [Andrei’s] cool gesture-controlled calculator. [Andrei] thought it would be helpful to use a calculator in his research lab without having to take his gloves off and the results are pretty cool. His hardware consists of a PocketBeagle, an OLED, and an MPU6050 inertial measurement unit for capturing his hand motions using an accelerometer and gyroscope. The hardware is pretty straightforward, so the beauty of this project lies in its machine learning implementation.