Tag Archives: Artificial Intelligence

Vibe Coding for Ops [TechOps]

In this episode, we do some live vibe coding– using AI to write code. We share tips and tricks on having the best vibe coding experience and avoiding some common pitfalls. You’ll get to hear what we do, how we discover what the steps are, just how easy it is to interact with the system, to set up a basic environment. We also start to explore the limitations of vibe coding. We encourage you to listen along and try on your own!

Transcript: otter.ai/u/CqKdtWZWYb3AdPtcb-…?utm_source=copy_url

Video available the2030.cloud

Model Context Protocol Exploration

Today we continue our exploration of vibe coding by digging into the Model Context Protocol, or MCP. We look at how MCPs connect chatbots to backend systems, why natural language matters for complex queries, and what it takes to build smarter, more adaptable interfaces. The discussion covers practical strategies for refining and automating these systems using API docs, making this a solid deep dive into the future of human-to-machine interaction.

Transcript: otter.ai/u/5zn42OkdumP-HXIdi5…?utm_source=copy_url

TechOps Scaling Challenges

In this episode, we talk about scale and the hard realities of system failure in large tech operations. We explore why rare failures become common at scale, and what it takes to build systems that can handle that pressure. From predictive diagnostics to component redundancy, we share practical insights on keeping high-performance and AI infrastructure resilient. This is not theory, it is grounded in real-world lessons from managing complex environments and learning how to plan, isolate, and adapt when things go wrong.

Transcript: otter.ai/u/X8JYiADfPPLEfQ-gge…?utm_source=copy_url

AI Export Controls Work?

We discuss whether or not AI export controls work, but we take a really interesting twist because what we talk about is manufacturing. What we talk about is innovation, and it’s not whether or not you can control AI chips, but what does it actually take to build innovative product? That’s where we really have challenges on export and controls. There’s military manufacturing and goods, and that’s part of what this AI embargo is about. We really talk about how challenging it is to actually build truly innovative manufacturing and what the barriers are.

Transcript: otter.ai/u/k6Thp-TOfwKc_RjXHC…?utm_source=copy_url

Cloud2030AIHardwareGPUsnVidiaExportChina

Is 2025 even harder than we expected?

We review 2025 predictions today and dig into why I think this year is going to be both boring and terrifying for a lot of enterprise IT leaders. That, of course, spans Amazon, Reinvent storage, VMware, AI, and Agentic AI – we run the gamut on what is coming and why this is actually going to be a very challenging year.

Transcript: otter.ai/u/H6UvLC-r2zmBO9A5jf…?utm_source=copy_url

Reference: zenoh.io by ZettaScale

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DeepThink AI and Kubernetes

We springboard from DeepThinking AI and have a robust conversation about what impact DeepThink is having on the industry. We also discuss where we see things going into the dilemma of people building AI infrastructure and working to do that quickly, robustly and with strong governance. This is necessary to ensure that they can quickly update and manage that AI infrastructure that they’re spending so much money to build, and this leads into a broader conversation about virtualization, containers and open shift.

Recorded Jan 30, 2025

Transcript: otter.ai/u/79JxdYOiXUoSS44pYP…?utm_source=copy_url

Reference: www.perplexity.ai/search/provide-a…TQ6LJG_X0SlB5g#8

Why is adding LLM into an App so hard?

We talk about current events, the acquisition of data stacks and the closing of the HashiCorp acquisition by IBM. Later, we dive into the productivity of AI and what’s going on – are companies really getting the benefits that they expect from AI chat bot integrations and what the challenges are?

We touch base on a little bit of something more infrastructure focused, where I give a preview of work I’ve been doing on separating Kubernetes virtualization from Kubernetes development use cases, which is something that we will be talking about more in the future.

References:
www.windowscentral.com/software-apps…ind-a-paywall
www.ibm.com/new/announcements/i…ise-ai-applications
www.youtube.com/watch?v=Ioc3r70HNLM
www.linkedin.com/posts/dhinchclif…9498138624-jR2R/
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