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Servers News With Emphasis on Red Hat

Submitted by Roy Schestowitz on Thursday 3rd of January 2019 07:26:55 PM Filed under
Red Hat
Server
  • Red Hat’s David Egts: Open-Source Training, ‘Sense of Mission’ Could Help Agencies Address Cyber Skills Gap

    David Egts, chief technologist for Red Hat’s North American public sector, has said there are several options the federal government can consider to build up its workforce’s cybersecurity and information technology skills and one of those is to explore open-source training.

    “The proliferation of open source software has changed the training landscape dramatically,” Egts wrote in a Nextgov piece published Wednesday.

  • Red Hat to Keynote PBExpo 2019 with Insights on Open Source Technology Used in Aviation and Aerospace
  • Suse, Red Hat, IBM, SAP: It’s Linux Versus Linux Now

    Undoubtedly, the answer can only be Suse. The European company has been with SAP since the beginning. Red Hat has been sleeping on the SAP enterprise business for a long time, but it is catching up now. In the course of an internal meeting in North America, Red Hat managers have emphasized their wish to work more closely with SAP. If this wish was influenced by IBM could not be verified.

    Consequently, this creates a complex situation and entanglement of relationships. On the one hand, IBM does not like SAP all that much, because the leading ERP provider forces the IBM enterprise data base DB2 out of the SAP community with its Hana data base. On the other hand, IBM has been very successfully selling its Power servers for Hana. However, these servers run on Suse Linux, which is the better Linux variant at the moment.

    Now, IBM has decided to acquire Red Hat, meaning that SAP customers can expect interesting package deals consisting of Power and Red Hat. Worldwide, SAP customers will have to opt for Hana and simultaneously for the tried and tested IBM server Power – but now with Red Hat Linux.

  • Handling the Kubernetes symbolic link vulnerability

    A year-old bug in Kubernetes was the topic of a talk given by Michelle Au and Jan Šafránek at KubeCon + CloudNativeCon North America, which was held mid-December in Seattle. In the talk, they looked at the details of the bug and the response from the Kubernetes product security team (PST). While the bug was fairly straightforward, it was surprisingly hard to fix. The whole process also provided experience that will help improve vulnerability handling in the future.

    The Kubernetes project first became aware of the problem from a GitHub issue that was created on November 30, 2017. It gave full detail of the bug and was posted publicly. That is not the proper channel for reporting Kubernetes security bugs, Au stressed. Luckily, a security team member saw the bug report and cleared out all of the details, moving it to a private issue tracker. There is a documented disclosure process for the project that anyone finding a security problem should follow, she said.

  • Kubernetes Guideposts for 2019

    Having been open sourced in 2014 and used in production by enterprise teams today, Kubernetes is now better understood. We are entering the third era of Kubernetes, meaning users will be looking at ways to bring in more automation around operations. Operation teams will be looking for the qualities typically associated with hosted services, such as automated updates, automated back-ups, auto-scaling and self-tuning, to be available on any environment, whether on a cloud provider’s infrastructure, or on their own premises.

    In 2019, more and more, the automation of these operations will manifest themselves as Operators: Operators take human operational knowledge of a given application or service and encode it into software. They help to codify operational processes into Kubernetes-native infrastructure and services running on top of it, providing a more efficient way of managing Kubernetes-native applications at scale. What’s more, this codification will be implemented by subject matter experts with deep hands-on experience operating these infrastructures and services themselves.

  • Leveraging OpenShift or Kubernetes for automated performance tests (part 2)

    This is the second of a series of three blogs based on a session I hold at EMEA Red Hat Tech Exchange. In the first article, I presented the rationale and approach for leveraging Red Hat OpenShift or Kubernetes for automated performance testing, and I gave an overview of the setup.

    In this article, we will look at building an observability stack that, beyond the support it provides in production, can be leveraged during performance tests. This will provide insight into how the application performs under load.

    An example of what is described in this article is available in my GitHub repository.

  • Getting started with predictive analytics in DevOps

    Data—it's the new currency. Many years ago, we measured the volume of data we processed in gigabytes; then we quickly moved to terabytes. Due to the influence of the smartphone and mobile devices, our volume of data is rapidly increasing to petabytes.

    In addition to managing the size of our data, we need to process various kinds of data and begin to understand what data can tell us. One opportunity in DevOps is to analyze this large amount of machine data. More importantly, machine data, such as logs and metrics of multiple infrastructure-monitoring tools, can continue operating the current IT system throughout the hybrid cloud. Another opportunity is to use this machine data to quickly respond to problems and identify when human involvement may be needed.

»

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