Cloud Computing

Yeah, so the Center for Procurement Advocacy is one of the newer trade organizations in D.C.

I believe they were formed within the last few years, but their membership includes companies like Amazon, CGI, Google, Cloud, Microsoft, Oracle, you know, some of the big name tech players in the procurement space.

And what they did is that they put out this white paper at the beginning of the month, right before we knew what was going to happen with those three expiring one-bill deals that I've been talking about.

And what they're saying is here, they gave this essentially playbook to the federal government to say, Here is what the industry thinks that you, federal government, should do to help us make sure that OneGov, that the deals are in place and that we have longer term clarity.

we detect the event the pressure transient event at the pipe We transmit that up to the cloud.

So TD Edge, transient detect edge, up to TD Cloud.

In TD Cloud, what we're able to do is to group the signature of each event and see if there are commonalities.

amongst those signatures so we use very sophisticated ai approaches to find the signal processing that is similar to the other events we have so far detected over 250 million pressure transient events And then some of these groups of events have over 10,000 of the same signature.

What this means for the water utility is it gives them a lot of confidence that it's the same root cause causing 10,000 pressure waves that are breaking pipes.

Every layer that you're seeing here is open, and especially there at the top where talk about headless analytics, right? The concept of the head being where are your users actually working? As I mentioned, typically that's been in desktop.

It's been in Tableau Cloud, right? It's been in Pulse.

It's been somewhere in the Tableau platform.

But now through this protocol MCP, Model Context Protocol, we're able to open that up to all the different surfaces that users are using these days.

It's Claude from Anthropic.

They look really similar, right? So it's this idea of just having a prompt where you can type in exactly what you're looking for.

And so on the right-hand side with that Claude experience, So the idea here with Tableau Data Apps is what I talked about earlier is fostering this innovation, this, as we've come to know it, vibe coding, right? Being able to jump into Cloud, vibe-coded dashboard through Tableau Data Apps, you can then bring those vibe-coded assets and attach them to your governed, trusted foundation in Tableau.

So it's literally publishing that to Tableau.

whether it is the changes in go-to-market across a variety of cloud operating system or hyper visor providers whether it's the need to create a a cyber resilient capability across my enterprise Or, oh, by the way, what about this thing called AI and the evolution from AI out in the public cloud or the neoclouds down into where 83% of the world's data lives, and that's in our customer data centers and colo facilities, right? That's a lot of challenge to go and to address and to build solutions around.

So on solutions, it's a good segue, how does Dell support the needs of modern data centers? I'm thinking sort of PowerStore, Dell Private Cloud, and Dell PowerStore.

Yeah, absolutely.

So look, I feel like we're really well positioned right now.

Many of our customers, as they look at this data center transformation challenge, they're dealing with hypervisor go-to-market concerns, right? Broadcom has completely changed their go-to-market and the other hypervisor providers have done so in tandem.

So we realized as having launched the number one HCI platform in the world in VxRail, we We realized that we needed to create a multi-cloud operating system or hypervisor outcome for our customers to create that VxRail experience across a myriad of different hypervisors, not just vSphere or ESX.

For that reason, we launched the Dell Private Cloud.

Right.

And it's basically the company that has formed around the open source framework because Taylor Otwell created Laravel, the framework.

And then eventually it became the company around it because we have products like Laravel Forge and Laravel Cloud, Nightwatch and all of these that are owned by the company.

But it's all around the framework itself, similar to how Vercel is around the Next.js framework.

That's what Laravel the company is around Laravel the framework.

[carraspeo] Docker, la compañía que convirtió los contenedores de software en la forma estándar de desplegar aplicaciones, dice que los contenedores ya no son suficientemente seguros para los agentes de IA.

El jueves lanzó Cloud Sandboxes, aislamiento de micro VM a nivel de hardware que mantiene a los agentes bajo control, ya sea que corran en tu laptop o se transfieran a la nube propia de Docker.

También presentó los kits, un archivo portable que agrupa un agente, sus herramientas y sus reglas de permisos en un solo paquete, con planes de someter el formato a un organismo de estándares abiertos.

El argumento es simple: los agentes corren por más tiempo, hacen trabajo más sensible y los controles anteriores no fueron diseñados para ellos.

the reason why I walk through that history is that we built it all on this concept that inside of companies there's a real need to have a space to do ai in a private bespoke well-managed way with options you can't get just doing an api to you know anthropic or an api to to open ai you you need more than just that But you can't use the ChatGPT interface.

You can't use the Cloud interface because it's not really built for executives.

So our intention was to build this private interface.

And then the beauty of it is, once we built this private interface, you could then connect it to any LLM.

But when you are trying to collate all these and connecting all these and working together as one big brain, I think that is where all these kind of debates arise.

And I think you've raised a very valid point.

And this is where I think, of course, we have a lot of these tools like ChatGPT or Cloud or Copilot.

And what is the difference is that you need to identify what is that genetic systems lack and how we build into that.

It is time to bring the orange.

Coming up on this episode, we are going to be diving into Azure native, Azure VMs and EverPure Cloud integration into that.

And of course, we've got one of our most prolific guests over the course.

You love that, right? Cody Hosterman, Senior Director of Product Management.

time I have to look down and go, I got to read this.

Azure VM, NATO VM.

Yeah, it's a couple of things, right? So just to wind back a little bit, right? So from our cloud platform, we call EverPure Cloud, right? And there's two machinations of that from a product perspective.

There's EverPure Cloud Dedicated, right? For fans of the show, that's formerly Cloud Block Store, right? CBS, if you will.

And then there are maybe like professional development tools.

I would say Cloud Code, Codex, and Resolve belong in the second category.

But in reality, there is no reason, and it's happening already, why these more professionally built tools should not be applicable to everybody.

If you want to run an application in production, You probably don't even have the skills, I guess, to know what to do when something goes wrong, right? Why not give it to resolve? I see that in our future, right? The reason we didn't start there is because obviously there's a huge need and demand and a huge value proposition for a large organization that already has very important, let's say, mission-critical software.