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Fedora and IBM/Red Hat Leftovers

Submitted by Roy Schestowitz on Wednesday 28th of July 2021 02:27:35 PM Filed under
Red Hat
  • Peter Robinson: SystemReady ES support for MacchiatoBin

    The redhat-rpm-config %toolchain macro makes it easier to build packages with Clang instead of GCC. Get tips for supporting both toolchains in your builds.

    I’m really happy to see this is such a straightforward process, and I’m looking forward to seeing more features, enhancements and fixes to the firmware including capsule updates and the associated LVFS/fwupdmgr support, and improvements around firmware security (fwupdmgr –force security). Top marks to the Solid Run team!

  • Write toolchain-agnostic RPM spec files for GCC and Clang | Red Hat Developer

    With the addition of the %toolchain macro to the redhat-rpm-config package, packages can easily switch between the GNU Compiler Collection (GCC) and the Clang compiler. This package change is not yet supported by Fedora, and package maintainers need good reasons to switch from the GCC default to Clang. Maintainers also need to watch out for a few nuances to make (and keep) a package specification file buildable with both toolchains.

    This article looks at the necessary changes and best practices to allow a spec file to build with both GCC and Clang in a variety of cases.

  • Seven (more) things I wish I'd known before becoming a sysadmin | Enable Sysadmin

    Let me start with a brief background to give my stories some context. I worked in desktop support for a couple of years before becoming a technical trainer on various platforms (Windows Server, different Linux distributions, Cisco, etc.). Eventually, some former students approached me to work as the network/systems administrator for their small organization (about 65 users). I worked there for a couple of years—an experience that inflated my already robust sense of cynicism. I freely admit that many of my observations are based on very small organizations (fewer than 100 users) and companies whose cultures did not easily embrace technology. I later returned to the training industry, though I did various consulting projects on the side. From those years come these anecdotes.

  • 4 steps to build a strong data science community across the enterprise

    In the race to quickly harness the power of data science, Artificial Intelligence (AI), and Machine Learning (ML), organizations have often kick-started initiatives by hiring data scientists and engineers within functional and regional areas of the business. While this approach offers speed, agility, and tight alignment to business requirements, it often comes at the expense of consistency and efficiency, and without consideration of best practices. The reality is that many organizations’ efforts in this space are falling short, with a majority of companies only piloting AI or using it in a single business process – and thus gaining only incremental benefits, according to a recent McKinsey study.

    CIOs can pull together the collective power of disparate teams while elevating the entire practice.
    CIOs are often positioned well to play a proactive role in pulling together the collective power of disparate teams while elevating the entire practice - all without org changes.

    The four steps below effectively connect teams that span across people, processes, and technologies in order to accelerate data science, AI, and ML efforts and build competitive advantage.

  • IT hiring: 5 tips to move past the "ideal candidate" trap

    The traditional hiring process is an obstacle course that candidates must navigate to prove themselves. The hurdles, like a lengthy list of skills or certifications, may feel insurmountable. The result: Your company forfeits the opportunity to hire gifted individuals who don’t fit the mold.

    Instead, organizations should be jumping through hoops to ensure that more candidates, particularly those with uncommon backgrounds, can complete the race. This requires a major shift in the focus of hiring. While skills assessment plays an important role in hiring, an early overemphasis on skill-matching can focus on pedigree at the expense of promise.

    Organizations thrive when they take the time to find, hire, and onboard individuals who contribute diverse perspectives and fresh approaches to problem-solving.

    I’ve seen how organizations thrive when they take the time to find, hire, and onboard individuals who contribute diverse perspectives and fresh approaches to problem-solving. Conversely, I’ve witnessed how more homogenous teams appear to gel quickly but later struggle to deliver innovative products.

»

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    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

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