>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen. Brought to you by Del Technologies and its ecosystem partners. >> Welcome back to the party The Cube Live Day two of our coverage of Del Technologies World. I'm Lisa Martin with one of the best men in TV Dressed man Dave Alon Today that Ty is awfully dapper today. Always a pleasure to be with you. And we're pleased to welcome back to the Cube tight Schmidt, VP and fellow of extreme skill infrastructure from Delhi and see, we're all kind of color coordinator here. Somebody sent us a memo Happy to be back. Thank you. Great to have you here. So we've We've been having great conversations the last day and a half. Lots of energy, lots of excitement. This is the first doll Technologies World sensed all returned to the stock market a few months ago. Talk on all things. Lots of buzzwords. Hybrid multi cloud partnerships edge One of the things that Jeff Clarke said this morning in his key Now that I think needs to be said in a game of thrones Voice is the edges coming? Just coming. What is the edge meat isn't like digital transformation, where it means five things to two different people. >> Yes, so the edges coming. Some would say the edge has been here, but now it's being at least, uh called something that we could try to get her head's wrapped around. Right? So, uh, the edges has been here. It's here. It's It's continuing to manifest itself. I'm gonna give you a couple of examples what we're hearing from customers. You know, human nature is I want this thing to be defined. I want it to be something stable, bounded that I can then go and create a work force or a product line. And I know exactly what we're doing. Well, I've got news for those folks. It's not that it's, Ah, it's chaotic. It's dynamic. It's disruptive. Um, I'll bucket ties it into a few big level buckets that we're seeing, but the thing I'm trying to get people to get their heads wrapped around is that the edges not defining usage models the edges, not defining products. The usage model is defining the edge, and so there's thousands and thousands of different usage models, But I'll talk about a few of them right. Um, I think most people would be in their minds. They're thinking about a distributed network and distributed data set or something outside of my traditional data center space. And I need compute storage, Something to facilitate my business. I'm calling that the private edge still a little bit from the private cloud, calling it the private edge. And basically it is, um, it's a It's a direct ingest or usage of compute that I'm buying storage that I need. It's at a location typically follows the data. So where I'm collecting data, my my array of sensors and cameras and you name it I ot type devices where that data is that I need to have on prem Data center capacity to collect that data, do something with that data, and then action. Do something actionable at that facility. And, you know, uh, minds and construction centres and retail stores. People talk about autonomous vehicles. Reality is is leading up to the autonomous vehicle. There's a need for data collected off of these cars as they're experimenting >> with different terrain and weather conditions and driving conditions, and we are providing those types of edge data center capabilities for those automotive companies to drive their cars around, stop into these depots, download their data, get updates, and off they go to collect more data. And that's an example of the private edge. So we've seen everybody been data centers, face floor, pristine, beautiful. You know, physical security. The edge could be a truck, a police car, doc. But it could be anything. So how are you seeing customers deal with the physical security aspects of the edge? That's a great question. So there and there's a physical in logical component to it, right, So they're all over the place. So these first, these first examples of where we're seeing EJ being actually adopted outside of a traditional data center space, tremendous sensitivity, toe physical security. Some of them are taking care of it themselves. So they have, uh, courtyard or a building that they're wanting to simply put a device in. And they're handling security, physical security at that location, others are Listen, I'm trying to understand the cost trade offs of building this fortress, which kind of his counter counter productive to what I'm trying to accomplish here. Can you provide that as part of your data center? solution. And so, looking at things like ballistic protection, overall theft protection, these things air smaller. They can be hold off, so we have to anchor them to the ground. We have to have wave to think differently about how these things are connected so that somebody can come up and cut through a wall or cut through a pipe and get access to this critical data. So how we approach that physically eyes is a tremendous, tremendous concern to customers. And we're addressing that through the solutions were providing ballistics bombproof flameproof intrusion proof different types of biometric sensors. In some cases, we hide them in plain sight, painted with graffiti, puts a bullet holes on him, make it look like they're not worth anything. You're it. So you do have some serious stress testing as well. Which was what? Your favorite stress test. >> There's a lot of shock and vibe testing, so we have a way to protect against seismic. We have to >> protect against wind loads. You we may have a thousand pounds of snow on top of, and we have to test these things against those type of environmental conditions. Way haven't, uh, we have it yet back. You try to drive over one with a bulldozer or some type of a vehicle, but we do do impact testing, ballistic test sting. And there's there's a lot of fun testing, and I don't mean to minimize the logical security. A lot of this is critical infrastructure, right? So, you know, if it talks about the threat matrix and so, uh, what do you see in there? What's what's Del bringing to the table? I mean, are are, you know, wonderful array of security elements with our company right now are implying that I think we're having to do with customers. This is an early part of the journey is how is this data being protected? And the logical component, at least what we're seeing today doesn't necessarily differ as much from the traditional data center. But things like, um, you can automatically detect whether an intrusion of physical deters has been made and decide to do something actionable, like lock hard drives where even if somebody was to steal a server or the hard drive, they can't do anything with it. GPS type sensors and devices that can track the valuable components in the solution and not allow them to be turned back on unless they are connected into that network. A za proofpoint. So there are a number of things that are that are being driven that somewhat looks like the traditional data center, by essence of where they're located and how these things are remote way have to. We have to think about that >> when you're talking >> with customers who are on everybody's on a journey of many different types. Digital transformation. I t. Security Workforce We've talked about all of those things last year's Del Tech world and, of course, this week as well. How do you advise them of Where do I start if I have Like, for example, when dehl was talking about the latitude devices this morning and all of this really cool tech built and even with train protection, for example, were all, and John Reese even talked about the edge of people the end, the edge of Io ti and centers, which makes sense. But where does a company like Adele stirred these conversations with customers who have a tonne? Probably People edges and io ti edges are yeah, so with where do we start? Kind of raining this all ends, we get the data out on it in real time, process it as close to where it's being generated as possible in a way that we can we can actually understand. >> This's the world I live in, right? So fundamentally, it helps us understand that that most companies, >> um, >> you know, lots of different organizations. But when it comes to a data center type of solution, you have the group who are trying to do something transformational the software writers, the applications and workload developers who are trying to take advantage of next generation it to do something transformational, you have the also you have the facility side. So this is the data center, the real estate, and the two don't necessarily, you know, talk about strategy in a line on how they're going to facilitate transformation. It's ultimately it starts with having deep discussions with both of those organisations. What are you trying to do to transform your business? How does that translate to the types of gear storage networking that you're going to require? What if you weren't constrained by your facility? What could you do and paint that picture for them? It also in parallel involves deep discussions with the facility and corporal estate side of of a company. What do you have? What are your challenges many companies do have on I .'LL speak for the telco space. They have a landscape of what you could consider edge data centers. There, the central office's, uh, extend out to the cell tower. These are pieces of real estate that they're trying to monetize, and but what comes with that are the constraints and the variability from site to site regulation requirements, cost of construction, labor flavor rates. You know, whether it's union or not. >> There's just a tremendous amount of variability. The end of the >> day where Dell comes in and helps is one week. We are a great thickener of things because we can. We can I would say force. But really, it's enable the discussion between the and the facility teams. We do have that understanding, and we are looking at it objectively through both of those lenses at the end of the day, creating a cost model, something that customers can use to look att, tradeoffs, locations, types of technology. Looking at those trade offs to help them make decisions is we're spending a lot of our time doing. It's a real cultural dichotomy. You've got the, you know, technology team, trying to move fast and break things. You got the facilities and let's keep it stable and safe, and they're both critical. They were absolutely both critical on They have deep ownership and governance on those respective sides of the business. And so these edge data centers the part of the world that I own. It really forces that discussion happen. It's the collision between it and facilities where those decisions have to be made in a real estate level, a ten infrastructure facility level and at a ninety networking security level on all those things have to be understood and accomplished, solved at the same time >> and quickly. They don't have the luxury of time to really sit and battled this, you know, swan it back and forth like a tennis match. >> They don't I will say that >> majority the industry right now, this is a big play for them. You can't push all of your chips in without having a lot of this information. So what we're seeing is a lot of I would call crawl, walk, run where they are starting with modeling techniques. Then they're going with proof of concepts to test out. What does this mean from a non pecked standpoint? What does this mean from a Catholics? How much I'm going have to spend visit scale, you know, from one to a thousand or ten thousand? And so getting this data and helping them build the models to help them understand that allows him to plan big and understand what they need to do at a higher level? >> Wow. So much to dig into it, just like the edge dot dot dot to be continued. Ty, Thank you so much for joining David Lee on the queue next year. Can't wait to hear all the more stories should be more stories. Awesome. Ty, Thank you very much for Dave Volonte. I Lisa Martin. You're watching us on the Cube Live in Las Vegas. Day two of the Cubes coverage. Abd el Technology, World twenty nineteen. Thanks for watching