Red Hat extends its focus to the network edge
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Open-source software giant Red Hat Inc. is positioning its flagship operating system as the basis for multiple types of computing workloads at the edge of the network.
The company said today the release of Red Hat Enterprise Linux 8.4 is meant to serve as the foundation of its “Red Hat Edge initiative,” which aims to deliver the capabilities of its open hybrid cloud portfolio of software and services to applications operating at the edge.
Edge computing refers to the idea of bringing computation and data storage closer to devices that operate at the “edge” of the network. These could be, for instance, sensors on factory floors, cameras in retail stores and vehicles that are part of a much wider fleet. Traditionally, these devices and sensors would send the data they generate back to a cloud-based data center to be processed, which is fine if just one device is involved, but when you have multipl
Red Hat présente RHEL for Open Source Infrastructure, une offre gratuite qui étend la prise en charge existante de Red Hat pour les projets et les communautés open source
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Red Hat annonce un RHEL sans frais pour les petits environnements de production notamment pour les charges de travail de production avec jusqu à 16 serveurs de production
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In a blog post, the firm said the program’s former terms of limiting use to single machine developers was “challenging.” Organizations can access the new program via a free Red Hat account (or via single sign-on through GitHub, Twitter, Facebook, and other accounts) to download RHEL and receive updates.
Red Hat said this wasn’t a sales program and no sales representative will follow up. “ An option will exist within the subscription to easily upgrade to full support, but that’s up to you,” the firm said.
Users can also use the expanded Red Hat Developer program to run RHEL on major public clouds, including AWS, Google Cloud Platform, and Microsoft Azure. While users’ providers set the hosting fees, the operating system is free for development and small production workloads.