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Fedora and IBM/Red Hat Leftovers

Submitted by Roy Schestowitz on Saturday 4th of December 2021 12:31:12 PM Filed under
Red Hat
  • Friday's Fedora Facts: 2021-48 – Fedora Community Blog

    Here’s your weekly Fedora report. Read what happened this week and what’s coming up. Your contributions are welcome (see the end of the post)!

    Fedora Linux 33 reached end of life on Tuesday. The F35 retrospective survey is open through 4 December.

    I have weekly office hours on Wednesdays in the morning and afternoon (US/Eastern time) in #fedora-meeting-1. Drop by if you have any questions or comments about the schedule, Changes, elections, or anything else. See the upcoming meetings for more information.

  • Red Hat response to Java release cadence change

    Red Hat has been a contributor to OpenJDK since its inception, and we are currently one of the most significant contributors to the OpenJDK project, both as developers of new versions and as maintainers of OpenJDK 8u and 11u. In addition to being a core developer of the Java Platform, Red Hat is also a heavy consumer of Java technology through our suite of Java-based Middleware and Application Services.

    We welcome an analysis of current practices regarding the life cycle of Java releases to understand how Java consumers can be better served. Although the recent cadence changes announced by Oracle to move to a 2-year LTS cycle pertain solely to their proprietary JDK version, this will have an impact on OpenJDK distribution life cycles as well. This is because OpenJDK distributions have chosen to follow the same LTS cycle as the proprietary Oracle JDK to maintain consistency and reduce fragmentation of version usage in the industry.

  • Davie Street Enterprises becomes an AI company

    Davie Street Enterprises (DSE), our fictional case study company, has taken a great leap toward the edge and is using the data collected from the edge to perform predictive maintenance and improve its unplanned downtime and line resilience.

    Once the edge project was completed, DSE saw unplanned downtime reduced by 50%—far above what it had expected. Although the project was a success, it wasn’t without its challenges. There were many delays as the company figured out the data requirements.

    DSE also had to upgrade many sensors to ensure that it could get the quality data required to get the correct results. In DSE’s digital transformation, this was a huge step forward in making it an artificial intelligence (AI) company.

»

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