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This is my usual collection of links, thoughts, rants, and ideas about datacenter-related technologies. Is this the beginning of the datacenter fractal edge ? has posted a good hypervisor feature comparison document. in the comparison, even though RHEV 3.1 Welcome to Technology Short Take #27! Networking.
If I were to still be in the business of administering servers, I’d be a Windows expert and feel comfortable managing Linux appliances within the environment. Most Linux admins wouldn’t have too much of a problem installing the solution. Developer’s build applications and don’t manage the datacenter.
Here’s another collection of links and articles from around the Internet discussing various datacenter-focused technologies. The rise of the disaggregated network operating system (NOS) marches on: this time, it’s Big Switch Networks announcing expanded hardware support in Open Network Linux (ONL) , upon which its own NOS is based.
In any case, here’s another collection of links and articles from around the Net on the major datacenter technology areas. At DevOps Networking Forum 2016, I had the opportunity to share a presentation on some Linux networking options. You may also find this (related) article on memory inside Linux containers to be helpful.
Cumulus VX, if you aren’t aware, is a community-supported virtual appliance version of Cumulus Linux aimed at helping folks preview and test “full-blown” Cumulus Linux (which, of course, requires compatible hardware). Nir Yechiel posted an article on using the Cumulus VX QCOW2 image with Fedora and KVM. Servers/Hardware.
Cumulus VX, if you aren’t aware, is a community-supported virtual appliance version of Cumulus Linux aimed at helping folks preview and test “full-blown” Cumulus Linux (which, of course, requires compatible hardware). Nir Yechiel posted an article on using the Cumulus VX QCOW2 image with Fedora and KVM. Servers/Hardware.
I’m back with another collection of articles on various datacenter technologies. Here’s a review of targeted attacks and APTs (advanced persistent threats) on Linux. The article doesn’t go deep on any of them, but does provide some useful information and comparison of the various mechanisms.
I have here for your reading pleasure an eclectic collection of links and articles from around the web, focusing on datacenter-related technologies. It tells me that some skills—specifically, Linux, automation/configuration management, software development concepts—are going to be essential for all new IT pros in the near future.
Forget those resource-hogging AI models that require a datacenter to function. For comparison, even OpenAI’s GPT-4 Turbo caps out around the same token count, and that’s no small feat. With just 3 billion and 8 billion parameters respectively, the Ministraux family is all about efficiency. Image credits: Mistral
He draws some comparisons between the use of full-machine virtualization (aka VMs) with the use of Linux containers—not that one is better or worse than the other, but that they are different and therefore have different characteristics and different use cases. That lead to “automagically configured” web services (PaaS).
Welcome to Technology Short Take #42, another installation in my ongoing series of irregularly published collections of news, items, thoughts, rants, raves, and tidbits from around the Internet, with a focus on datacenter-related technologies. Here’s hoping you find something useful! Networking. Technology Short Take #42.
Here’s hoping I’ve managed to find something of value and interest to you in this latest collection of links and articles from around the web on networking, storage, virtualization, security, and other datacenter-related technologies. Networking.
And if cloud computing is about computers far away from you in datacenters, the edge is about the computers closest to you — like Windows PCs. WSL, which is the part of Windows that lets you run Linux. That’s in comparison to the very controversial 30 percent that Apple charges. PWAs, which are progressive web apps.
It delivered a version of Linux – Red Hat Enterprise Linux AI – optimized for AI , InstructLab for fine tuning models, and Podman AI Lab for building and testing AI-powered applications. By comparison, OpenAI’s GTP-4 can handle as much as 128,000 tokens and Anthropic’s Claude 3 has 200,000. By comparison, OpenAI’s GPT 3.5
In this post, I’ve collected a variety of links related to major datacenter technology areas. First up, there’s a great article on using IPVLAN with Docker and Cumulus Linux (with a tie back to sFlow, naturally!). Here’s a walkthrough by Cody Bunch on setting up BGP on Linux with Cumulus Quagga. Networking.
Welcome to Technology Short Take #50, the latest in my series of posts sharing various links and articles pertaining to key datacenter technologies. Kevin Houston’s March 2015 blade server comparisons might be a useful place to start. I hope that you find something useful here! Networking.
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