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Software: Continuous Integration, Curl, Browsh and Statcode

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Software
  • Continuous integration and delivery tool basics

    The CircleCI tool is admired for its speed. That's because CircleCI caches builds and can run tests in parallel over multiple machines. The net result is quick test times. It’s also appreciated because it can be run in the cloud or as an on-premises version.

    You can use CircleCI on almost any operating system or cloud. CircleCI is a single-page web application that makes heavy use of AJAX and HTML5. What you can't do with it is build Windows applications. While you can build applications using .NET Core under Docker with CircleCI, that's far from full Windows building or test support.

  • curl 7.61.0

    Yet again we say hello to a new curl release that has been uploaded to the servers and sent off into the world. Version 7.61.0 (full changelog). It has been exactly eight weeks since 7.60.0 shipped.

  • Browsh is the Text-based Web Browser You’ve Been Dreaming Of

    I woke up today to find my Twitter feed chok full of praise for something called Browsh.

    It’s a brand new, modern text-based web browser built for the command line.

    Yes, I did just say a text browser.

    And yes, the year is still 2018.

    So what’s got the geeks I follow gushing over something so terrifically niche?

  • Statcode – Get A Quick Explanation Of Various HTTP Status Codes

    If you’re a web developer, I’ve got a good news for you today. You can now stop spending time on Internet to look for what a particular response code mean. Say hello to Statcode. It is like man pages, but only for HTTP status codes. You can easily get the quick explanation of a http code within minutes, without leaving your Terminal. As you may know already, Hypertext Transfer Protocol (HTTP) response status codes are issued by a server in response to a client’s request made to the server. Statcode is written using Python programming language and works on GNU/Linux, Mac OS and Windows.

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Following the GeForce RTX 2080 Linux gaming benchmarks last week with now having that non-Ti variant, I carried out some fresh GPU compute benchmarks of the higher-end NVIDIA GeForce and AMD Radeon graphics cards. Here's a look at the OpenCL performance between the competing vendors plus some fresh CUDA benchmarks as well as NVIDIA GPU Cloud TensorFlow Docker benchmarks. This article provides a fresh look at the Linux GPU compute performance for NVIDIA and AMD. On the AMD side was the Linux 4.19 kernel paired with the ROCm 1.9.1 binary packages for Ubuntu 18.04 LTS. ROCm continues happily running well on the mainline kernel with the latest releases, compared to previously relying upon the out-of-tree/DKMS kernel modules for compute support on the discrete Radeon GPUS. ROCm 2.0 is still supposed to be released before year's end so there will be some fresh benchmarks coming up with that OpenCL 2.0+ implementation when the time comes. The Radeon CPUs tested were the RX Vega 56 and RX Vega 64 as well as tossing in the R9 Fury for some historical context. Read more