IBM/Red Hat/Fedora Leftovers

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Policy proposal: New Code of Conduct
The Fedora Council has been working with the Fedora Community Action and Impact Coordinator to update and improve Fedora’s Code of Conduct. This work began with Brian Exelbierd during his tenure as FCAIC and was then picked up by Marie Nordin at the start of 2020. The new draft of the Code of Conduct is more comprehensive than our current Code of Conduct and will be accompanied by a set of Clarifying Statements. The Clarifying Statements are a work in progress.
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Optimizing server utilization in datacenters by offloading network functions to NVIDIA BlueField-2 DPUs
By using hardware offloading and dedicated hardware businesses can free up their CPU resources and handle network traffic more efficiently. In this post we'll look at using NVIDIA BlueField-2 data processing units (DPU) with Red Hat Enterprise Linux (RHEL) and Red Hat OpenShift to boost performance and reduce CPU load on commodity x64 servers.
Modern networks are expected to be able to quickly and securely move a large number of data packets. Processing that data on both the sending and the receiving ends is an expensive operation for servers that are responsible for handling the network traffic. As the server is performing network operations, its CPUs are spending valuable cycles handling the networking tasks and, as a result, have fewer cycles available to run the actual applications or process the data. A practical solution to this problem is to use hardware offloading to transfer resource intensive computational tasks from the server’s CPU to a separate piece of hardware.
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Combating security challenges with cloud-native AI-driven architecture
Network security in modern datacenters is primarily focused on the inbound/outbound packet flow, often referred to as north-south traffic. However, the growth of cloud-native applications has driven an explosion of east-west network traffic within a datacenter where applications can create hundreds of thousands of network connections among virtual machines and containers. As a consequence the ability to track, monitor and secure a datacenter in a timely manner has risen above that of any individual or team. To combat this challenge, Red Hat and NVIDIA are working together to protect networks from breaches via real-time AI security analysis.
NVIDIA’s Morpheus AI application framework is designed to handle a variety of complex security tasks and policies allowing users to develop and deploy AI-enabled security applications efficiently. Morpheus AI provides several pre-trained models, including one with the ability to immediately recognize many types of sensitive personal information, like public cloud or GitHub user credentials, private keys, passwords, and credit card numbers. This pre-trained model enables AI to search through network packets for patterns associated with these credentials and flag exposed data to the enterprise security team.
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An Introduction to Convert2RHEL: Now officially supported to convert RHEL-like systems to RHEL
Convert2RHEL is now an officially supported component of Red Hat Enterprise Linux (RHEL). Convert2RHEL enables the conversion of select RHEL derivative distributions into a supportable RHEL system, retaining existing applications and configurations. This is the culmination of multiple teams within Red Hat who have worked to provide solutions and guidance to our customers and the community at large.
The concept for the Convert2RHEL utility began nearly five years ago when Red Hat engineering was asked to explore how conversions to RHEL might work. Since then, it has evolved as a collaborative effort between Red Hat Engineering and Consulting services, who have used it successfully with many Oracle Linux and CentOS Linux conversions in many large and complex enterprise environments. Due to numerous requests, Red Hat has now productized it as a supported component of RHEL.
It was important to ensure that access to the Convert2RHEL utility was frictionless and served the broad CentOS Linux user community who wanted to make use of new options such as our no-cost developer subscriptions. In January, Red Hat announced the enhanced no-cost Red Hat Developer Subscription for Individuals and the Developer for Teams subscription (available via sales), which both provide no-cost access to RHEL subscriptions. This includes Red Hat Insights and many management capabilities from cloud.redhat.com.
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Red Hat named to Fortune’s 100 Best Companies to Work For list for third year in a row
In February 2020 Red Hat proudly announced that we had earned a place on Fortune’s list of the 100 Best Companies to Work For. At the time, achieving such a distinction seemed guaranteed to be one of the most memorable moments of the year. 2020 had other ideas, though.
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digiKam 7.7.0 is released
After three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release.
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Dilution and Misuse of the "Linux" Brand
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Samsung, Red Hat to Work on Linux Drivers for Future Tech
The metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world.
Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility.
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