Final Red Hat Enterprise Linux 7 Version Released

'The last RHEL release, RHEL 7.7, is now available for current Red Hat Enterprise Linux subscribers via the Red Hat Customer Portal. ZDNet reports on what's new: RHEL 7.7's most important updates are support for the latest generation of enterprise hardware and remediation for the recently disclosed ZombieLoad vulnerabilities. The latest RHEL 7 also includes network stack performance enhancements. With this release, you can offload virtual switching operations to network interface card (NIC) hardware. What that means for you is, if you're using virtual switching and network function virtualization (NFV), you'll see better network performance on cloud and container platforms such as Red Hat OpenStack Platform and Red Hat OpenShift. RHEL 7.7 users can also use Red Hat's new predictive problem shooter: Red Hat Insights. This uses a software-as-a-service (SaaS)-based predictive analytics approach to spot, assess, and mitigate potential problems to their systems before they can cause trouble. For developers, RHEL 7.7 comes with Python 3.6 interpreter, and the pip and setup tools utilities. Previously, Python 3 versions were available only as a part of Red Hat Software Collections. Moving on to the cloud, RHEL 7.7 Red Hat Image Builder is now supported. This feature, which is also in RHEL 8, enables you to easily create custom RHEL system images for cloud and virtualization platforms such as Amazon Web Services (AWS), VMware vSphere, and OpenStack. To help cloud-native developers, RHEL 7.7 includes full support for Red Hat's distributed-container toolkit -- buildah, podman, and skopeo -- on RHEL workstations. After building on the desktop, programmers can use Red Hat Universal Base Image to build, run, and manage containerized applications across the hybrid cloud.' -- source: https://linux.slashdot.org/story/19/08/06/208202 Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ +64 (7) 858-5174 http://www.cms.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/
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Peter Reutemann