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SUSE Edge upgrade targets Kubernetes and Linux at the edge

Network World

Heavy metal: Enhancing bare metal provisioning and load balancing Kubernetes is generally focused on enabling virtualized compute resources, with containers. Metal3 is being integrated with the Rancher Kubernetes management capabilities to enable remote orchestration of bare-metal deployments in the data center.

Linux 476
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Ciena and Arelion achieve 1.6 Tb/s optical transmission milestone

Network World

In a landmark achievement for network bandwidth transport, Arelion and Ciena have successfully completed the world’s first 1.6 terabits-per-second (Tb/s) wavelengths data transmission in a live network field trial. For example, according to Ciena, a single WL6e chipset can transport 320,000 HD 1080p YouTube video streams every second.

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Fountainhead: Emergence of Fabric as an IT Management Enabler

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Last week I attended Gartners annual Data Center Conference in Las Vegas. Virtualizing I/O and converging the transport. Transport can be Ethernet, FCoE, Infiniband, or others. skip to main | skip to sidebar. Fountainhead.

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Fountainhead: Converged Infrastructure Part 2.

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. And I mean I/O components like NICs and HBAs, not to mention switches, load balancers and cables. Consolidating I/O also implies converged transport, meaning fewer cables (typically only 1 per server, 2 if teamed/redundant). Big Data. (6).

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Fountainhead: Converged Infrastructure. Part 1

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Part 1: What is Converged Infrastructure, and how it will change data center management. A converged infrastructure approach offers an elegant, simple-to-manage approach to data center infrastructure administration. Fountainhead.

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AI makes edge computing more relevant to CIOs

CIO Business Intelligence

There are numerous ways AI models at the edge could help beyond simply controlling traffic lights, he says, such as citizen safety, autonomous transportation, smart grids, and self-healing infrastructures. This could be accomplished using AI-driven components for load balancing, fault tolerance, or predictive anomaly detection.

Energy 358