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IBM and Red Hat

Submitted by Roy Schestowitz on Wednesday 21st of April 2021 08:01:00 PM Filed under
Red Hat
  • Languages and DevOps: Mainframe

    In true DevOps fashion, I nearly forgot to cover the mainframe after saying it warranted its own blog!
    There is a lot going on right now in the mainframe space, so the question of mainframe language choices has several different answers. We’ve got Linux running on the mainframe, we’ve got cross-compiled open source capable of running on the mainframe natively, we’ve got mainframe-based containers and we even have traditional mainframe tools being ported to other platforms (hello, COBOL on Linux!) so that development can happen on smaller platforms but target the mainframe.

    Taken in the order they came available, we have traditional mainframe development, in languages like COBOL and RPG, right on the mainframe in standard LPARs. This has gotten easier over the years, but is still basically the same development environment that was used in the 1980s, with prettier UIs.

  • Paving the path to organizational goals: Consider the bridge not built

    Thomas Sowell opines in Basic Economics that “[…] the real cost of anything is still its value in alternative uses. The real cost of building a bridge is whatever else could have been built with that same labor and material. The cost of watching a television sitcom or soap opera is the value of the other things that could have been done with that same time.”

    Organizations make this determination every time they choose to work on one ticket, project, or objective and key result (OKR) over another. Making this value judgment explicit is critical to a well-functioning organization. To do this effectively, organizations must understand and communicate priorities, and individuals must be incentivized to work towards those priorities.

  • Optimize your RHEL infrastructure: 5 performance areas to focus on

    Would you rather wait for something to become a problem, or do some performance tweaking and optimization to avoid downtime or performance headaches altogether? The answer to that is easy, but deciding what to optimize or troubleshoot isn't always obvious. In this post we'll cover some common areas where you can use Red Hat Insights and its Advisor service to solve problems before they start.

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