Tag: Kubernetes

  • Relevant to your interests, Friday

    A Coxswain on Your Shoulder – AI as executive coach. Primary tip: listen more before you ask questions. Big Blue Poised To Peddle Lots Of On Premises GenAI – Welcome to the last 18 months of labor-intentive services – “Legacy delivery models focused on bums-on-seats aren’t relevant anymore, and services firms must reinvent themselves to…

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  • Internal Developer Platforms – Build vs. Buy

    From Abby Bangser’s KubeCon US 2025 keynote: Now, I’m sure that at least some of you are shaking your heads and thinking, I’m saying we have to all build our own PaaS. Haven’t we been there before with platforms as a service? But I am absolutely not suggesting that we walk up to Sisyphus, give…

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  • Kubernetes use rising, large organizations slowest to adapt, not many people train their own AI model or deploy new AI models frequently

    Kubernetes use rising, large organizations slowest to adapt, not many people train their own AI model or deploy new AI models frequently

    The new CNCF cloud native report shows a continual spread of Kubernetes, and container usage, in organizations. The chart above shows a shift from experimenting with Kubernetes to trying it out in production, to running in production. At the same time, containers, as you’d expect, are also moving steadily into production. Application containers in production…

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  • This week’s Tanzu Catsup: AI tools have solved code generation, probably. But they’ve created a new constraint: Day 2 operations. When the volume of applications jumps 10x driven by a flood of “small” line-of-business apps manual “run teams” and traditional onboarding processes break down. Hey guys! Like and subscribe.

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  • Adding security and governance to Model Context Protocol – How Broadcom uses MCP

    Adding security and governance to Model Context Protocol – How Broadcom uses MCP

    Here’s the benefits Broadcom is getting from using MCP (running on Tanzu Platform): This capability allows for seamless task completion, such as linking internal ticketing systems directly through to code commitment, significantly reducing the time required for ticket resolution. Specifically, developers can utilize natural language processing to direct an AI agent to find their next…

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  • Relevant to your interests on Monday

    Don’t let having an opinion and knowing what you like (being a critic in the classical sense) ruin your enjoyment of everything in life. Yet another cross-platform graphical process/system monitor, bottom. They travel with a knife-sharpener. Smart Tool Selection: Achieving 34-64% Token Savings with Spring AI’s Dynamic Tool Discovery People are often the largest part…

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  • Infrastructure self-harm

    That wasn’t what we hoped would happen when nearly 10 years ago we and others came up with these new automated technologies around Kubernetes. We thought we would make things easier, more automated, safer, more compliant. And instead, people seem to be getting more and more stuck. And that’s partly because systems have grown. We’re…

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  • Vibes, Code, Consequences

    Vibes, Code, Consequences

    A selection from my weblog and elsewhere since last time… Original content Whitney goes to KubeCon – a cross-over episode from SDT: “This week, Whitney Lee joins us to discuss KubeCon news, Coding Assistants, and conference tips. Plus, vegan food and note-taking recommendations.” What is a platform? – Tony and I start a new weekly,…

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  • Kubernetes, AI, and platform engineering, build, build, build

    AI is here. It’s hungry. It’s expensive. And Kubernetes is the only thing big enough to feed it. … Kubernetes is no longer the platform for apps. It’s becoming the substrate for AI-driven systems. And then you add platform engineering to build a platform around it for self-service access to AI, so long as you…

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  • The platform that needs a platform

    The platform that needs a platform

    How big is the Kubernetes market? Here’s an estimate from a recent IDC PDF: The rapid growth of cloud-native applications, driven by DevOps, containers, and microservices, has made container orchestration a critical capability because containers are challenging to manage at scale without an orchestration layer. This trend is driving significant market growth, with IDC forecasting…

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  • Platform engineering for AI stacks

    Your AI stack needs to have DevX, thus, a platform: I think it’s a sign of maturity that even when you mix in cloud native development with the current AI hype, organizations are actually realizing that developers are still the internal customers who need platforms as products. You can’t just say ‘get on with it’…

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  • Feels a little bit like a platform standard so powerful that you need an AI front-end to make it usable by mere mortals.

    Yes: Kubernetes started as a way to orchestrate containers, but its true innovation lies in its API model. The declarative resource pattern, with its desired state, actual state and continuous reconciliation, has proven to be a universal abstraction. It works for workloads, infrastructure, policies and more. That universality is why Kubernetes has become the foundation…

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  • Good Management Is a Fad, Use Women’s Razors, and AI Saves Three Hours a Week

    Good Management Is a Fad, Use Women’s Razors, and AI Saves Three Hours a Week

    3 factors is all you need In this Tanzu Talk interview, Coté talks Brian Friedman about his extensive experience working with Pivotal, Tanzu, and Broadcom. They discuss the intricacies of modernizing enterprise applications, the relevance of .NET in the current tech landscape, and the role of platforms like Cloud Foundry and Kubernetes. They also explore…

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  • 3 factors is all you need – Notes on Modernizing Enterprise Apps

    In this Tanzu Talk interview, Coté talks Brian Friedman about his extensive experience working with Pivotal, Tanzu, and Broadcom. They discuss the intricacies of modernizing enterprise applications, the relevance of .NET in the current tech landscape, and the role of platforms like Cloud Foundry and Kubernetes. They also explore using AI, the challenges of application…

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  • Remember when DevSecOps was all the rage?

    Enterprises are till trying to figure out DevSecOps: [M]any organizations remain stuck in siloed approaches that pose problems due to competing demands for speed, efficiency and risk reduction. Enterprises that effectively integrate security into software development and deployment–both through platforms and tools, and via cross-team collaboration– are better positioned to drive velocity, quality and innovation…

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  • How Tanzu Platform Fixes the AI Deployment Problem

    You need a proper AI platform: Interested? Try a 90 day trial of the Tanzu Platform: https://trytanzu.ai.

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  • Cloud Foundry is alive and well, running lots of really important shit

    Cloud Foundry is alive and well, running lots of really important shit

    Here’s my talk from Cloud Foundry Day. It’s four stories of large organizations using Cloud Foundry: Three are banks, and one is a German tax accountant and back-office SaaS. I start talking about the value of case studies for enterprise software. The opening keynote was from the German police, the Bundeskriminalamt (BKA). We used to…

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  • VKS

    For those who prefer Kubernetes instead of a PaaS, there are good options that your organization likely already has. 🔗 Empowering Platform Engineers with native Kubernetes Multi-Cluster Management in VMware Cloud Foundation

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  • Google Cloud: $58 billion in new revenue commitments over the next two years

    nine out of the top 10 AI labs use Google’s infrastructure. He also says that nearly all generative AI unicorns run on Google Cloud, that 60% of all GenAI startups worldwide have chosen Google as their cloud provider, and that the company has lined up $58 billion in new revenue commitments over the next two…

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  • Untitled post 54115

    Kubernetes podcast in the Netherlands, field studio.

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