>> Hi, I'm Peter Burroughs. And welcome to another cube conversation. This one is part of a very, very special digital community event sponsored by day trip. What we're going to be talking about today. Well, date comes here with a special product announcement that's intended to help customers do a better job of matching their technology needs with the speed and opportunities to use their data differently within their business. This is a problem that every single customer faces every single enterprise faces, and it's one that's become especially acute as those digital natives increasingly hunt down and take out some of those traditional businesses that are trying to better understand how to use their data. Now, as we have with all digital community events at the end of this one, we're gonna be running a crowd chat, so stay with us, will go through a couple of day trim and datum customer conversations, and then it'LL be your turn toe. Weigh in on what you think is important. Ask the questions of Data Room and others in the community that you think need to be addressed. Let's hear what you have to say about this increasingly special relationship between data technology and storage services. So without further ado, let's get it kicked off. Tim Page is the CEO of Datum. Tim, Welcome to the Cube. Thank you, Peter. So data give us a quick take on where you guys are. >> Yeah, Day tree ums formulated as a software to find converged infrastructure company that takes that converges to the next level. And the purpose of us is to give the user the same experience, whether you're working on Prem or across multi cloud. >> Great. So let's start by saying, that's the vision, but you've been talking a lot of customers. What's the problem that you keep hearing over and over that you're pointing towards? >> Yeah, it's funny. So it's so meet with the number CEOs over the years and specifically is related to a tree, and they'LL tell you they were on an on demand economy that expects instant outcomes, which means you have to digitally transform. And to do that, you've got to transform it, which means it's got to be easy. It's got to be consistent. You've got to get rid of a lot of the management issues, and it's got a feel and take advantage of the services that cloud has to offer. >> All right, so that's the nature of the problem. You've also done a fair amount of research looking into the specifics of what they're asking for. Give us some insight into what day terms discovering as you talk to customers about what the solutions are going to look like. >> It's interesting. So if you look at how to resolve that, you've got to conf urged to transform in some form or fashion. If you look at the first level of convergence a lot of people have done, it's been directly as relates the hardware architecture. We've taken that to a whole new level until Point were saying, How do you actually automate those mundane task that take multiple groups to solve specifically primary backup disaster recovery? All the policies involved in that is a lot of work that goes into that across multiple groups, and we set out to solve those issues, >> so there's still a need for performance. There's still the need for capacity to reduce management time and overhead etcetera. But Tim, as we move forward, how our customers responding this you're getting some sense of what percentage of them are going, Teo say Yeah, that's it >> s so interesting. So we could start a survey and got over five hundred people leaders to respond to it. It's interesting is they talk about performance management security, but they're also talking about consistency of that experience. And specifically, we asked how many of you is important to have your platform have built in backup and policy services with encryption built in et cetera. We got a seventy percent rate of those applicants of those those people interviewed saying is really important for that to be part of a plan. >> So it sounds like you're really talking about something Mohr than just a couple of products. You really talking about forcing customers or you're not forcing. Customers are starting the process of rethinking your data infrastructure, and I got that right. >> That's right. If you look at how infrastructure is grown in the last twenty years, right? Twenty years ago, san technology was related, and every time you throw open app, you had to put different policies that Apple put different one tight management to how much of my resources and go to certain things. We set out to actually automate that which is why it took us four years. To build this platform with a hundred programmers is, Well, how do we actually make you not think about how you're going to back up? How do you set a policy and no disaster recovery is going to run? And to do that, you've gotta have it one code base and we know we're on to something, even based on our survey, because the old array vendors are all buying Bolton's because they know users want an experience. But you can't have that experience with the ball time. You have to have it your fundamental platform. >> Well, let me let me step in here. So I've been around for a long time him and heard a lot of people talk about platforms. And if I have kind of one rule companies and introduce platforms that just expand, typically failed companies that bring an opinion and converge more things so it's simpler tend to be more successful. Which direction's date >> going? So we definitely That's why we took time, right? If you want to be an enterprise class company, you can't build a cheap platform in eighteen months and hit the market because were you, architect, you stay. So our purpose from the beginning was purposefully to spend four years building an enterprise clap platform that did away with a lot of the mundane task seeing management That's twenty years old. Technology right? One management. So if you're buying your multi cloud type technology experience in cages, you're just buying old stuff. We took an approach saying, We want that consistent approach that whether you're running your services on from or in any type of cloud, you could instantly take advantage of that, and it feels the same. That's a big task because you're looking to run the speed of storage with the resiliency of backup right, which is a whole different type of technology. Which is how our founders, who have built the first words in this went to the second, almost third version of that type of oven. Stan she ation of a platform. >> All right, so we know what the solution is going to look like. It's going to look like a data platform that's rethought to support the needs of data assets and introduces a set of converge services that really focus the value proposition to what the enterprise needs So what do you guys announcing? >> That's exactly right. So we've finalized what we call our auto matrix platform. So auto matrix in inherently In it we'LL have primary backup Disaster recovery D Our solution All the policies within that an encryption built in from the very beginning. Soto have those five things we believe toe actually have on the next generation experience across true multi cloud. You're not bolting on hardware technologies. You're bolting on software technologies that operate in the same manner. Those five things have to be an errand or you're a bolt on type company. >> So you're not building a platform out by acquisition. You build a platform out by architecture and development. >> That's right. And we took four years to do it with one hundred guys building this thing out. It's released, it's out and it's ready to go. So our first we're announcing is that first in Stan she ation of that as a product we're calling control shift, which is really a data mobility orchestrator. True sas based you could orchestrate from the prime from the cloud cloud to cloud, and our first generation of that is disaster recovery so truly to be able to set up your policies, check those policies and make sure you're going to have true disaster recovery with an Rto zero. It's a tough thing we've done it. >> That's upstanding. Great to hear Tim Page, CEO Data Room, talking about some of the announcement that were here more about in the second. Let's now turn our attention, Teo. A short video. Let's hear more about it. >> The bank is focused on small businesses and helping them achieve their success. We want to redesign the customer engagement in defining the bank of the future. This office is our first implementation of that concept, as you can see is a much more open floor plan design that increases the interaction between our lead bank associates and our clients with day tree and split provisioning. Oliver Data is now on the host, so we have seen eighty times lower application. Leighton. See, this gives our associates instant responses to their queries so they can answer client questions in real time. That time is always expensive in our business. In the past we had a forty eight hour recovery plan, but with the atrium we were able to far exceed that plan we've been able to recover systems in minutes now instead of backing at once per day with that backup time taking eighteen hours. Now we're doing full system snapshots our league, and we're replicating those offsite stay trim is the only vendor I know of that could provide this end to end encryption. So any cyber attacks that get into our system are neutralized with the data absolution. We don't have to have storage consultants anymore. We don't have to be stored. Experts were able to manage everything from a storage perceptive through the center, obviously spending less time and money on infrastructure. We continue to leverage new technologies to improve application performance and lower costs. We also want to animate RDR fail over. So we're looking forward to implementing daydreams. Product deloused orchestrate an automaton. RDR fell over process. >> It is always great to hear from a customer. Want to get on Peterborough's? This's a Cube conversation, part of a digital community event sponsored by Data Room. We were talking about how the relationship between the new digital business outcomes highly dependent upon data and the mismatch of technology to be able to support those new classes of outcomes is causing problems in so many different enterprises. So let's dig a little bit more deeply into someone. Tatum's announcements to try to find ways to close those gaps. We've got his already who's the CTO of data on with today, says all are welcome to the Cube, >> that being a good to see you again. >> So automate tricks give us a little bit more toe tail and how it's creating value for customers. >> So if you go to any data center today, you notice that for the amount of data they have their five different vendors and five different parts to manage the data. There is the primary storage. There is the backup on DH. There is the D R. And then there's mobility. And then there is the security or think about so this five different products, our kind of causing friction for you if you want to move, if you want to be in the undermanned economy and move fast in your business, these things are causing friction. You cannot move that fast. And so what we have done is that we took. We took a step back and built this automatics platform. It's provides this data services. We shall kind of quality that autonomous data services. The idea is that you don't have to really do much for it by converging all this functions into one simple platform that we let him with all the friction you need to manage all your data. And that's kind of what we call auto metrics that >> platform. So as a consequence, I gotta believe, Then your customers are discovering that not only is it simpler, easy to use perhaps a little bit less expertise required, but they also are more likely to be operationally successful with some of the core functions like D are that they have to work with. >> Yeah, So the other thing about these five five grandpre functions and products you need is that if you want to imagine a future, where you going, you know, leverage the cloud For a simple thing like the R, for example, the thing is that if you want to move this data to a different place with five different products, how does it move? Because, you know, all these five products must move together to some of the place. That's not how it's gonna operate for you. So by having these five different functions converge into one platform is that when the data moves between the other place, the functions move with it giving the same exist same exact, consistent view for your data. That's kind of what we were built. And on top of all the stuff is something we have this global data management applications to control the all the data you have your enterprise. >> So how are customers responding to this new architecture of autumn matrix converge services and a platform for building data applications? >> Yeah, so our customers consistently Teyla's one simple thing is that it's the most easiest platform there ever used in their entire enterprise life. So that's what we do aimed for simplicity for the customer experience. Autonomous data services give you exactly that experience. So as an example, last quarter we had about forty proof of concept sort in the field out of them, about thirty of adopted already, and we're waiting for the ten of the results to come out this quarter. So generally we found that a proof of concept don't come back because once you touch it, experience simplicity offered and how how do you get all this service is simple, then people don't tend to descend it back. They like to keep it and could have operated that way. >> So you mentioned earlier, and I kind of summarizing notion of applications, Data services, applications tell us a little bit about those and how they really toward a matrix. >> Right? So once you have data in multiple places, people have not up not a cloud. And we're going to also being all these different clouds and report that uniform experience you need this date. You need this global data management applications to extract value out off your data. And that's kind of the reason why we built some global data management applications. I SAS products, I think, install nothing to manage them. Then they sit outside and then they help you manage globally. All the data you have. >> So as a result, the I and O people, the destruction operations administrators, I can think of terms of automata whose platform the rest of the business could look at in terms of services and applications that through using and support, >> that's exactly right. So you get the single dashboard to manage all the data. You have an enterprise >> now I know you're introducing some of these applications today. Can you give us a little peek into? Yeah. >> Firstly, our automatics platform is a soft is available on prime as a software defined converge infrastructure, and you can get that we call it D V X. And then we also offer in the cloud our services. It's called Cloud Devi Ex. You could get these and we're also about kind off announcing the release ofthe control shift. It's over for one of our first date. Imagine applications, which kind of helps you manage data in a two different locations. >> So go over more specific and detail in the control shift. Specifically is which of those five data services you talk about is control shift most clearly associating with >> right. So if you go toe again back to this question about like five different services, if you have to think about B r o D. R. Is a necessity for every business, it's official protection. You need it. But the challenge is that you know that three four challenges you gently round into the most common people talk about is that one is that you have a plan. You'LL have a proper plan. It's challenging to plan something, and then you think about the fire drill. We have to run when there's a problem. And then last leaving actually pushed the button. Tofail over doesn't really work for you. Like how fast is it going to come up? So those three problems we can have one to solve really like really solidly So we call our service is a dear services fail proof tr that's actually takes a little courage to say fail proof. So control shift is our service, which actually does this. The orchestration does mobility across the two different places from could be on prime time on Prem on prompted the cloud. And because we have this into end data services ourselves, the it's easy to then to compliance checks all the time so we could do compliance checks every few minutes. So what that gives you that? Is that the confidence that that your dear plan's going to work for you when you need it? And then secondly, when you push the button because you also prime restoration back up, it's then easy to bring upon your services at once like that, and the last one is that because we are able to then work across the clouds and pride, the seamless experience. So when you move the data to the cloud, have some backups there. When you push a button to fail over, we'LL bring up your services in via MacLeod so that the idea is that it look exactly the same no matter where you are in the D. R or North India and then, you know, you watch the video, watch the demos. I think they look and see that you can tell the difference. >> Well, that's great. So give us a little bit of visibility into how day Truman intends to extend these capabilities, which give us a little visibility in the road map. Next. >> So we are already on Amazon with the cloud. The next time you're gonna be delivering his azure, that's the next step. But But if I step back a little bit and how do we think about our ourselves? Like if you look at his example Google, Google, you know, fairies, all the data and Internet data and prizes that instant search for that instant like an access to all the data you know, at your finger finger tips. So we wanted something similar for enterprise data. How do we Federated? How do we aggregate data and the property? The customer, the instant management they can get from all the data. They have already extract value from the data. So those things are set off application We're building towards organic scum. Examples are we're building, like, deep search. How do you find the things you want to find? You know, I've been a very nice into to weigh. And how do you do Compliance? GPR. And also, how do you think about you know, some dependent addicts on the data? And so we also extend our control shift not to just manage the data on all platforms. Brawls hardly manage data across different platforms. So those kind of things they're thinking about as a future >> excellent stuff is already CTO daydream. Thanks very much for talking to us about auto matrix control shift and the direction that you're taking with this very, very extreme new vision about data on business come more easily be bought together. So, you know, I'll tell you what. Let's take a look at a demo >> in today's enterprise data centers. You want a simple way to deal with your data, whether in the private or public cloud, and ensure that dealing with disaster recovery is easy to set up. Always complied and in sync with the sites they address and ready to run as the situations require built on consistent backups, allowing you to leverage any current or previous recovery point in time with near zero rto as the data does not have to be moved in order to use it. Automated orchestration lets you easily test or execute recovery plans you have constructed with greater confidence, all while monitoring actions and progress from essential resource. This, along with maintaining comprehensive run books of these actions, automatically from the orchestration framework. Managing your Systems Day Tree in autumn matrix provides this solution. Run on local host flash and get the benefits of better performance and lower. Leighton sees back up and protect your data on the same converged platform without extracting it to another system while securing the data in your enterprise with end and encryption automating salas desired for your business needs with policy driven methods. The capture the what, when and where aspects of protecting your data, keeping copies locally or at other sites efficiently Move the data from one location to another weather in your private or public cloud. This is the power of the software defined converged infrastructure with cloudy are from day tree, um, that we call Oughta Matrix. >> Hi. And welcome back to another cube conversation once again on Peter Births. And one of the biggest challenges that every user faces is How did they get Mohr out of their technology suppliers, especially during periods of significant transformation? Soto have that conversation. We've got Brian Bond, who's the director of infrastructure? The meter A seaman's business. Brian, welcome to the Cube. >> Thanks for having me. >> So tell us a little about the meteor and what you do there. >> So E Meter is a developer and supplier of smart grid infrastructure software for enterprise level clients. Utilities, water, power, energy and, ah, my team was charged with managing infrastructure for that entire business units. Everything from Deb Test Q and sales. >> Well, the you know, the intelligent infrastructure as it pertains to electronica rid. That's not a small set of applications of small city use cases. What kinds of pressure is that putting on your infrastructure >> A lot of it is the typical pressures that you would see with do more with less doom or faster. But a lot of it is wrapped around our customers and our our other end users in needing more storage, needing Mohr at performance and needing things delivered faster on a daily basis. Things change, and keeping up with the Joneses gets harder and harder to do as time moves on. >> So as you think about day trims Auto Matrix. How is it creating value for you today? Give us kind of, Ah, peek into what it's doing to alleviate some of these scaling and older and researcher pressures, >> So the first thing it does is it does allow us to do a lot more with less. We get two times the performance five times the capacity, and we spend zero time managing our storage infrastructure. And when I say zero time I mean zero time, we do not manage storage anymore. With the data in product, we can deploy thanks faster. We can recover things faster are Rto and R R P. O matrix is down two seconds instead of minutes or hours, and those types of things really allow us to provide, Ah much better level of service to our customers. >> And it's especially critical. Infrastructure like electronic grid is good to hear. That the Rto Harpo is getting is close to zero as possible. But that's the baseline today. Look out and is you and vision where the needs of these technologies are going for improving protection, consolidating converging gated services and overall, providing a better experience from a business uses data. How do you anticipate that you're goingto evolve your use of autumn matrix and related data from technologies? >> Well, we fully intend to to expand our use of the existing piece that we have. But then this new autumn matrix piece is going to help us, not witches deployments. But it's also going to help us with compliance testing, data recovery, disaster recovery, um, and also being able to deploy into any type of cloud or any type of location without having to change what we do in the back in being able to use one tool across the entire set of the infrastructure they were using. >> So what about the tool set? You're using the whole thing consistently, but what about the tool set when in easiest for you within your shop, >> installing the infrastructure pieces themselves in its entirety. We're very, very easy. So putting that into what we had already and where we were headed was very, very simple. We were able to do that on the fly in production and not have to do a whole lot of changes with the environments that were doing at the time. The the operational pieces within the D. V X, which is this the storage part of the platform were seamless as far as V Center and other tools that we're using went and allowed us to just extend what we were doing already and be able to just apply that as we went forward. And we immediately found that again, we just didn't manage storage anymore. And that wasn't something we were intending and that made our r I just go through the roof. >> So it sounds like time to value for the platform was reserved for quick and also it fit into your overall operational practices. So you have to do a whole bunch of unnatural acts to get >> right. We did not have to change a lot of policies. We didn't have to change a lot of procedures, a lot of sounds. We just shortened. We took a few steps out on a lot of cases. >> So how is it changing being able to do things like that, changing your conversation with your communities that you're serving a CZ? They asked for more stores where they ask for more capabilities. >> First off, it's making me say no, a lot less, and that makes them very, very happy. The answer usually is less. And then the answer to the question of how long will it take changes from? Oh, we can get that done in a couple of days or, oh, we can get that done in a couple hours to I did that while I was sitting here in the meeting with you, and it's it's been handled and you're off to the races. >> So it sounds like you're police in a pretty big bed and a true, uh, what's it like? Working with them is a company. >> It's been a great experience from from the start, in the initial piece of talking to them and going through the POC process. They were very helpful, very knowledgeable SCS on DH, and since then They've been very, very helpful in allowing us to tell them what our needs are, rather than them telling us what our needs are and going through and working through the new processes and the and the new procedures within our environments. They've been very instrumental and performance testing and deployment testing with things, uh, that a lot of other storage providers didn't have any interest in talking with us about so they've been very, very helpful with that and very, very knowledgeable people that air there are actually really smart, which is not surprising. But the fact that they can relay that into solutions to what my actual problems are and give me something that I can push forward on to my business and have ah, positive impact from Day one has been absolutely, without question, one of the better things. >> Well, it's always one of the big, biggest challenge when working with a company that just getting going is how do you get the smarts of that organization into the business outcomes that really succeeded? Sounds like it's working well. Absolutely. All right. Brian Bond, director Vital infrastructure demeanor, Seaman's business Thanks again for being on the Cube >> has been great >> on. Once again, this has been a cube conversation, and now what we'd like to do is don't forget this is your opportunity to participate in the crowd. Chat immediately after this video ends and let's hear your thoughts. What's important in your world is you think about new classes of data platforms, new rules of data, new approaches to taking great advantage of the data assets that air differentiating your business. Have those conversations make those comments? Asked those questions. We're here to help. Once again, Peter Bourjos, Let's go out yet.