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IBM/Red Hat/Fedora Leftovers

Submitted by Roy Schestowitz on Thursday 1st of July 2021 09:26:45 PM Filed under
Red Hat
  • Fedora Community Blog: Source-git SIG report #1

    Greetings from the Fedora source-git SIG! We are planning to start publishing reports of what we are working on so everyone can easily pay attention and get involved if interested.

  • 4 questions to keep your IT strategy on course | The Enterprisers Project

    Most leaders try to visualize the future by examining the present and asking, “What’s next?” That’s a tough proposition because these leaders are trying to extrapolate. Where you go next depends on your future challenges. It’s an iterative process where you build on each successive year.

    This might seem like an effective planning approach, but it has its limitations. By extrapolating, you tend to react to what’s happening rather than planning for the future. After a few iterations, you can lose track of your goals, requiring a course correction to get back on track.

    Imagine an end goal, and then fill in the gaps between your current location to your destination.
    I find it’s much easier to interpolate instead: Imagine an end goal, and then fill in the gaps between your current location to your destination. In my experience, this approach helps me to generate better strategic plans.

  • When agile meets hybrid work: 4 must-do's for leaders | The Enterprisers Project

    Agile software development has been a prized practice for maximizing the efficiency and output of teams for nearly two decades. The specific tenets of agile development – close communication, frequent product upgrades, and inherent trust in employees – have since been extended into agile business leadership.

    While agile leadership has been adopted in organizations ranging from startups to Fortune 100 companies, the past 18 months have placed more pressure on companies to maintain agility and react to changes than ever before.

    While co-location was a key tenet of agile software development, distributed teams are now the norm.
    Agile leadership has taken on an entirely new definition in the post-COVID business environment. While co-location was a key tenet of agile software development, distributed teams are now the norm. And with new emerging self-service technologies and workflows that empower business users to own their own automation projects, modern enterprises must be able to go with the flow and make rapid adjustments to stay ahead of the competition.

  • An architect’s guide to Network Programmability

    Network programmability is the use of software to deploy, manage, and troubleshoot network elements. A programmable network is driven by an intelligent software stack that can take action based on business requests or network events. Let’s discuss how network programmability can help communication service providers adapt to new trends including internet of things (IoT), 5G and edge computing.

    Complementary to network programmability is Software Defined Networking (SDN), which not only separates the control plane and forwarding plane of network elements but also provides (application programming interfaces) APIs to control and manage them. You can learn more about SDN in a previously published post.

  • RESTEasy Reactive and more in Quarkus 2.0

    Since its initial release back in 2019, the Quarkus community has been continuously innovating, responding to user issues, and improving support for a wide variety of use cases. More notably, the community has produced regular and predictable releases, which is important for accelerating adoption for production workloads. In this article, I’ll cover a few of the new features in Quarkus 2.0 and share what we at Red Hat are doing to provide commercial support for this new release later this year.

  • Node.js serverless functions on Red Hat OpenShift, Part 1: Logging

    The article Create your first serverless function with Red Hat OpenShift Serverless Functions showed how to get started with a Node.js function application. You saw how to create a simple function application and deploy it to Red Hat OpenShift. It also covered basic usage of the Knative command-line tool kn.

    This series of articles offers a deeper dive into Node.js serverless functions on OpenShift. In Part 1, we'll look at how logging works and how to customize what is logged in a Node.js function application.

  • Top tips for making your Call for Code submission stand out

    You and your team have answered the Call for Code, and you’re almost ready to submit your solution. With the deadline for the 2021 Call for Code Global Challenge rapidly approaching (it’s Saturday, July 31 at 11:59 pm PDT), I have a few last-minute tips and a checklist for you to review before you submit your entry.

  • IBM Open Sources Kestrel for Threat Hunting

    IBM contributed Kestrel, an open-source programming language for threat hunting, to the Open Cybersecurity Alliance (OCA) today in a move that Big Blue says marks a major milestone in OCA’s mission to drive greater interoperability across the security industry.

    Kestrel, jointly developed by IBM Research and IBM Security, uses automation to accelerate threat hunting and allows security analysts to express hunts in an open, composable language. The machine-learning based automation and composable hunting flows reduce the time it takes to discover new threats and also to create new hunts, according to Jason Keirstead, CTO of threat management for IBM Security and co-chair of the OCA.

    “Kestrel is designed to take advantage of the collective learned experience of the threat hunting community — and enable that to be combined with the power of machine learning and automation to speed response to threats,” he said in a statement. “By sharing new threat hunting patterns as they emerge via code that can be easily customized, Kestrel lets threat hunters devote more time to figuring out what to hunt, as opposed to how to hunt.”

»

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today's howtos

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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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  • How To Install MongoDB on AlmaLinux 9 - idroot

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  • An introduction (and how-to) to Plugin Loader for the Steam Deck. - Invidious
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