Final Red Hat Enterprise Linux 7 Version Released

Peter Reutemann <[email protected]>
Newsgroups gmane.org.user-groups.linux.waikato
Message-ID <CAHoQ12KzFeJ4+nNBzP+oSWk-iyYcKNRbGgKWAOx-vN+cYuVB=g@mail.gmail.com>
'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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