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    ct_magazin@social.heise.deC
    KubeCon EU 2026: Kubernetes wird weiter als Infrastruktur für KI optimiertNvidia steuert DRA-Treiber und Tooling für reproduzierbare GPU-Cluster bei. Die CNCF begrüßt llm-d als neues Projekt, das verteilte Inferenz optimiert.https://www.heise.de/news/KubeCon-EU-2026-Kubernetes-wird-weiter-als-Infrastruktur-fuer-KI-optimiert-11225512.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon#CloudComputing #IT #KünstlicheIntelligenz #Kubernetes #OpenSource #Nvidia #news
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    i3ke@social.vivaldi.netI
    @iX_Magazin @heiseonline_TopNews aber wenn man ehrlich ist, sind auch die meisten vorhandenen Exit-Strategien eher Augenwischerei und ermöglichen bestenfalls einen Notbetrieb. Wer auf M365 setzt, ist viel zu sehr im Microsoft-Netz gefangen. Entra, Intune, AD, Windows – da gibt es unfassbar viele Abhängigkeiten (weit über Office hinaus), die sich nicht kurzfristig per Plan B auflösen lassen. Selbst dann nicht, wenn man interne Prozesse und Nutzerinnen-Akzeptanz mal außen vor lässt. Wer Cloud-Exit will, muss von Anfang an auf offene Systeme setzen.
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    andrii_sudak@infosec.exchangeA
    Ever struggled to explain “Linux fragmentation” to non‑tech friends? You’re chatting with friends, family, or a non‑technical manager and the question lands:“Why are we using Red Hat at work when my friend uses Ubuntu at home? Aren’t they both just Linux? Why is this so complicated?”Explaining a modular, kernel‑based world to someone used to one neat product (macOS, Windows, iOS) can feel like explaining car mechanics at a dinner party.So how do you make it click?Here’s an analogy I’ve used for years that usually gets an instant “Aha!” from non‑tech people.Engine vs. Vehicle Kernel = EngineThe Linux kernel is the engine: the core machinery that actually makes things run. It’s powerful and reliable – but an engine alone doesn’t get you anywhere. Distro = VehicleA distribution (distro) is the whole vehicle built around that engine: body, seats, dashboard, storage, tools. It’s the engine plus everything else you need to actually use it, assembled for a particular purpose.And just like in real life, we don’t pick a vehicle because of the paint job; we pick it because of what we need it to do.Everyday ExamplesTo pull it out of the “enterprise IT” bubble, I frame it with everyday roles. The Commercial Truck (Server) – RHEL, DebianA big truck that hauls heavy loads non‑stop. Not designed for comfort or looks, just for doing the job, reliably, for years. That’s your server: often no GUI, older but proven components, maximum stability. The Daily Driver (Workstation) – Fedora, Ubuntu LTSYour normal car: comfortable, up‑to‑date, good enough for commuting, shopping, road trips. That’s a developer or desktop distro: modern tools, stable enough for everyday work and testing.️ The Specialist Van (Niche Distros) – Kali LinuxA van packed with custom tools for a single trade – like a locksmith’s or electrician’s van. You don’t use it for everything; you use it when you need that specific toolkit. That’s a security‑focused distro.So is this “fragmentation”?“They all share the same core engine, but the ‘vehicles’ are customized for different jobs. Servers, laptops, and security toolkits all run Linux – just tuned differently.”Same engine, different roles:• long‑running servers,• everyday work machines,• highly specialized tools.Your TurnHow do you explain the “many Linuxes” problem to people who aren’t in IT – friends at a bar, parents, or colleagues from non‑tech teams?Drop your best analogies and stories below #Linux #OpenSource #DevOps #SystemAdministration #CloudComputing #TechCommunication #EverydayTech
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    brian_greenberg@infosec.exchangeB
    The honeymoon phase of AI-driven productivity is meeting the harsh reality of system stability. Amazon has officially updated its internal policies to require senior engineers to sign-off for any code changes assisted by generative AI. This move follows a series of significant service disruptions—referred to internally as "high blast radius" incidents—where AI-generated code led to major product outages.For a company that values speed and a "you build it, you run it" culture, this is a massive shift. It turns out that while AI can write code in seconds, the cost of an error at AWS scale can be measured in hours of downtime and millions in lost revenue. We are seeing a necessary correction: AI is a powerful assistant, but it cannot yet be trusted with the keys to the kingdom without a seasoned human expert verifying the logic.🧠 Amazon now mandates senior review for all AI-assisted code deployments. The policy change follows a spike in high-priority Sev2 incidents. Senior engineers must now act as the ultimate "bar raisers" for synthetic code. This internal friction highlights the hidden costs of AI-driven development.https://arstechnica.com/ai/2026/03/after-outages-amazon-to-make-senior-engineers-sign-off-on-ai-assisted-changes/#EngineeringManagement #CloudComputing #GenerativeAI #security #privacy #cloud #infosec #cybersecurity
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    ix_magazin@social.heise.deI
    Atlassian-Chef: KI ersetzt bei uns keine Menschen, aber wir feuern sie trotzdemKI soll bei Atlassian keine Menschen ersetzen, sagt CEO Cannon-Brookes. Aber man müsse trotzdem 1.600 Leute entlassen, um Geld für KI-Investitionen zu haben.https://www.heise.de/news/Atlassian-Chef-KI-ersetzt-bei-uns-keine-Menschen-aber-wir-feuern-sie-trotzdem-11208681.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon#Börse #Karriere #CloudComputing #IT #KünstlicheIntelligenz #Software #Wirtschaft #news
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    devopspink@mastodon.socialD
    Are you paying your cloud provider for... air? ️Storing 50 copies of the exact same OS means you're paying for the same data 50 times over. It’s pure infrastructure bloat.Watch how smart deduplication cuts the fat and makes your CFO happy https://youtube.com/shorts/eatghKo7skE#FinOps #DevOps #CloudComputing
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    ix_magazin@social.heise.deI
    iX-Workshop: IT-Infrastrukturen mit OpenTofu aufbauen und verwaltenErfahren Sie, wie Sie mit OpenTofu die IT-Infrastruktur im Unternehmen als Code definieren, bereitstellen und administrieren.https://www.heise.de/news/iX-Workshop-IT-Infrastrukturen-mit-OpenTofu-aufbauen-und-verwalten-11194645.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon#Automatisierung #CloudComputing #InfrastructureasCode #IT #ITInfrastruktur #iXWorkshops #Linux #Rechenzentrum #news
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    heiseonline@social.heise.deH
    Die Auswirkungen der aktuellen Eskalation im Nahen Osten sind jetzt auch in der Cloud angekommen. ️ Zwei Rechenzentren von Amazon Web Services in den Vereinigten Arabischen Emiraten wurden direkt von Drohnen getroffen.Zum Artikel: https://heise.de/-11196368?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon#aws #cloudcomputing #rechenzentrum #naherosten #itsecurity
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    heiseonline@social.heise.deH
    KI-Update Deep-Dive: Deutschlands Weg zur KI-InfrastrukturDeutsche KI-Rechenzentren sollen eine Alternative zu US-Anbietern bieten. Doch der Bau einer souveränen Infrastruktur ist von vielen Unbekannten geprägt.https://www.heise.de/news/KI-Update-Deep-Dive-Deutschlands-Weg-zur-KI-Infrastruktur-11179329.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon#CloudComputing #DeutscheTelekom #GenerativeAI #Journal #KünstlicheIntelligenz #KIUpdate #Sprachverarbeitung #Nvidia #Rechenzentrum #Wissenschaft #news