(light music) >> Announcer: TheCUBE's live coverage is made possible by funding from Dell Technologies. Creating technologies that drive human progress. (upbeat music) >> Welcome back to the Fira in Barcelona. Dave Vellante with Dave Nicholson. Lisa Martin's been here all week. John Furrier is in our Palo Alto studio, banging out all the news. Don't forget to check out siliconangle.com, thecube.net. This is day four, our last segment, winding down. MWC23, super excited to be here. Wayne Duso, friend of theCUBE, VP of engineering from products at AWS is here with Iyad Tarazi, who's the CEO of Federated Wireless. Gents, welcome. >> Good to be here. >> Nice to see you. >> I'm so stoked, Wayne, that we connected before the show. We texted, I'm like, "You're going to be there. I'm going to be there. You got to come on theCUBE." So thank you so much for making time, and thank you for bringing a customer partner, Federated Wireless. Everybody knows AWS. Iyad, tell us about Federated Wireless. >> We're a software and services company out of Arlington, Virginia, right outside of Washington, DC, and we're really focused on this new technology called Shared Spectrum and private wireless for 5G. Think of it as enterprises consuming 5G, the way they used to consume WiFi. >> Is that unrestricted spectrum, or? >> It is managed, organized, interference free, all through cloud platforms. That's how we got to know AWS. We went and got maybe about 300 products from AWS to make it work. Quite sophisticated, highly available, and pristine spectrum worth billions of dollars, but available for people like you and I, that want to build enterprises, that want to make things work. Also carriers, cable companies everybody else that needs it. It's really a new revolution for everyone. >> And that's how you, it got introduced to AWS. Was that through public sector, or just the coincidence that you're in DC >> No, I, well, yes. The center of gravity in the world for spectrum is literally Arlington. You have the DOD spectrum people, you have spectrum people from National Science Foundation, DARPA, and then you have commercial sector, and you have the FCC just an Uber ride away. So we went and found the scientists that are doing all this work, four or five of them, Virginia Tech has an office there too, for spectrum research for the Navy. Come together, let's have a party and make a new model. >> So I asked this, I'm super excited to have you on theCUBE. I sat through the keynotes on Monday. I saw Satya Nadella was in there, Thomas Kurian there was no AWS. I'm like, where's AWS? AWS is everywhere. I mean, you guys are all over the show. I'm like, "Hey, where's the number one cloud?" So you guys have made a bunch of announcements at the show. Everybody's talking about the cloud. What's going on for you guys? >> So we are everywhere, and you know, we've been coming to this show for years. But this is really a year that we can demonstrate that what we've been doing for the IT enterprise, IT people for 17 years, we're now bringing for telcos, you know? For years, we've been, 17 years to be exact, we've been bringing the cloud value proposition, whether it's, you know, cost efficiencies or innovation or scale, reliability, security and so on, to these enterprise IT folks. Now we're doing the same thing for telcos. And so whether they want to build in region, in a local zone, metro area, on-prem with an outpost, at the edge with Snow Family, or with our IoT devices. And no matter where they want to start, if they start in the cloud and they want to move to the edge, or they start in the edge and they want to bring the cloud value proposition, like, we're demonstrating all of that is happening this week. And, and very much so, we're also demonstrating that we're bringing the same type of ecosystem that we've built for enterprise IT. We're bringing that type of ecosystem to the telco companies, with CSPs, with the ISP vendors. We've seen plenty of announcements this week. You know, so on and so forth. >> So what's different, is it, the names are different? Is it really that simple, that you're just basically taking the cloud model into telco, and saying, "Hey, why do all this undifferentiated heavy lifting when we can do it for you? Don't worry about all the plumbing." Is it really that simple? I mean, that straightforward. >> Well, simple is probably not what I'd say, but we can make it straightforward. >> Conceptually. >> Conceptually, yes. Conceptually it is the same. Because if you think about, firstly, we'll just take 5G for a moment, right? The 5G folks, if you look at the architecture for 5G, it was designed to run on a cloud architecture. It was designed to be a set of services that you could partition, and run in different places, whether it's in the region or at the edge. So in many ways it is sort of that simple. And let me give you an example. Two things, the first one is we announced integrated private wireless on AWS, which allows enterprise customers to come to a portal and look at the industry solutions. They're not worried about their network, they're worried about solving a problem, right? And they can come to that portal, they can find a solution, they can find a service provider that will help them with that solution. And what they end up with is a fully validated offering that AWS telco SAS have actually put to its paces to make sure this is a real thing. And whether they get it from a telco, and, and quite frankly in that space, it's SIs such as Federated that actually help our customers deploy those in private environments. So that's an example. And then added to that, we had a second announcement, which was AWS telco network builder, which allows telcos to plan, deploy, and operate at scale telco network capabilities on the cloud, think about it this way- >> As a managed service? >> As a managed service. So think about it this way. And the same way that enterprise IT has been deploying, you know, infrastructure as code for years. Telco network builder allows the telco folks to deploy telco networks and their capabilities as code. So it's not simple, but it is pretty straightforward. We're making it more straightforward as we go. >> Jump in Dave, by the way. He can geek out if you want. >> Yeah, no, no, no, that's good, that's good, that's good. But actually, I'm going to ask an AWS question, but I'm going to ask Iyad the AWS question. So when we, when I hear the word cloud from Wayne, cloud, AWS, typically in people's minds that denotes off-premises. Out there, AWS data center. In the telecom space, yes, of course, in the private 5G space, we're talking about a little bit of a different dynamic than in the public 5G space, in terms of the physical infrastructure. But regardless at the edge, there are things that need to be physically at the edge. Do you feel that AWS is sufficiently, have they removed the H word, hybrid, from the list of bad words you're not allowed to say? 'Cause there was a point in time- >> Yeah, of course. >> Where AWS felt that their growth- >> They'll even say multicloud today, (indistinct). >> No, no, no, no, no. But there was a period of time where, rightfully so, AWS felt that the growth trajectory would be supported solely by net new things off premises. Now though, in this space, it seems like that hybrid model is critical. Do you see AWS being open to the hybrid nature of things? >> Yeah, they're, absolutely. I mean, just to explain from- we're a services company and a solutions company. So we put together solutions at the edge, a smart campus, smart agriculture, a deployment. One of our biggest deployment is a million square feet warehouse automation project with the Marine Corps. >> That's bigger than the Fira. >> Oh yeah, it's bigger, definitely bigger than, you know, a small section of here. It's actually three massive warehouses. So yes, that is the edge. What the cloud is about is that massive amount of efficiency has happened by concentrating applications in data centers. And that is programmability, that is APIs that is solutions, that is applications that can run on it, where people know how to do it. And so all that efficiency now is being ported in a box called the edge. What AWS is doing for us is bringing all the business and technical solutions they had into the edge. Some of the data may send back and forth, but that's actually a smaller piece of the value for us. By being able to bring an AWS package at the edge, we're bringing IoT applications, we're bringing high speed cameras, we're able to integrate with the 5G public network. We're able to bring in identity and devices, we're able to bring in solutions for students, embedded laptops. All of these things that you can do much much faster and cheaper if you are able to tap in the 4,000, 5,000 partners and all the applications and all the development and all the models that AWS team did. By being able to bring that efficiency to the edge why reinvent that? And then along with that, there are partners that you, that help do integration. There are development done to make it hardened, to make the data more secure, more isolated. All of these things will contribute to an edge that truly is a carbon copy of the data center. >> So Wayne, it's AWS, Regardless of where the compute, networking and storage physically live, it's AWS. Do you think that the term cloud will sort of drift away from usage? Because if, look, it's all IT, in this case it's AWS and federated IT working together. How, what's your, it's sort of a obscure question about cloud, because cloud is so integrated. >> You Got this thing about cloud, it's just IT. >> I got thing about cloud too, because- >> You and Larry Ellison. >> Because it's no, no, no, I'm, yeah, well actually there's- >> There's a lot of IT that's not cloud, just say that okay. >> Now, a lot of IT that isn't cloud, but I would say- >> But I'll (indistinct) cloud is an IT tool, and you see AWS obviously with the Snow fill in the blank line of products and outpost type stuff. Fair to say that you're, doesn't matter where it is, it could be AWS if it's on the edge, right? >> Well, you know, everybody wants to define the cloud as what it may have been when it started. But if you look at what it was when it started and what it is today, it is different. But the ability to bring the experience, the AWS experience, the services, the operational experience and all the things that Iyad had been talking about from the region all to all the way to, you know, the IoT device, if you would, that entire continuum. And it doesn't matter where you start. Like if you start in region and you need to bring your value to other places because your customers are asking you to do so, we're enabling that experience where you need to bring it. If you started at the edge, and- but you want to build cloud value, you know, whether it's again, cost efficiency, scalability, AI, ML or analytics into those capabilities, you can start at the edge with the same APIs, with the same service, the same capabilities, and you can build that value in right from the get go. You don't build this bifurcation or many separations and try to figure out how do I glue them together? There is no gluing together. So if you think of cloud as being elastic, scalable flexible, where you can drive innovation, it's the same exact model on the continuum. And you can start at either end, it's up to you as a customer. >> And I think if, the key to me is the ecosystem. I mean, if you can do for this industry what you've done for the technology- enterprise technology business from an ecosystem standpoint, you know everybody talks about flywheel, but that gives you like the massive flywheel. I don't know what the ratio is, but it used to be for every dollar spent on a VMware license, $15 is spent in the ecosystem. I've never heard similar ratios in the AWS ecosystem, but it's, I go to reinvent and I'm like, there's some dollars being- >> That's a massive ecosystem. >> (indistinct). >> And then, and another thing I'll add is Jose Maria Alvarez, who's the chairman of Telefonica, said there's three pillars of the future-ready telco, low latency, programmable networks, and he said cloud and edge. So they recognizing cloud and edge, you know, low latency means you got to put the compute and the data, the programmable infrastructure was invented by Amazon. So what's the strategy around the telco edge? >> So, you know, at the end, so those are all great points. And in fact, the programmability of the network was a big theme in the show. It was a huge theme. And if you think about the cloud, what is the cloud? It's a set of APIs against a set of resources that you use in whatever way is appropriate for what you're trying to accomplish. The network, the telco network becomes a resource. And it could be described as a resource. We, I talked about, you know, network as in code, right? It's same infrastructure in code, it's telco infrastructure as code. And that code, that infrastructure, is programmable. So this is really, really important. And in how you build the ecosystem around that is no different than how we built the ecosystem around traditional IT abstractions. In fact, we feel that really the ecosystem is the killer app for 5G. You know, the killer app for 4G, data of sorts, right? We started using data beyond simple SMS messages. So what's the killer app for 5G? It's building this ecosystem, which includes the CSPs, the ISVs, all of the partners that we bring to the table that can drive greater value. It's not just about cost efficiency. You know, you can't save your way to success, right? At some point you need to generate greater value for your customers, which gives you better business outcomes, 'cause you can monetize them, right? The ecosystem is going to allow everybody to monetize 5G. >> 5G is like the dot connector of all that. And then developers come in on top and create new capabilities >> And how different is that than, you know, the original smartphones? >> Yeah, you're right. So what do you guys think of ChatGPT? (indistinct) to Amazon? Amazon turned the data center into an API. It's like we're visioning this world, and I want to ask that technologist, like, where it's turning resources into human language interfaces. You know, when you see that, you play with ChatGPT at all, or I know you guys got your own. >> So I won't speak directly to ChatGPT. >> No, don't speak from- >> But if you think about- >> Generative AI. >> Yeah generative AI is important. And, and we are, and we have been for years, in this space. Now you've been talking to AWS for a long time, and we often don't talk about things we don't have yet. We don't talk about things that we haven't brought to market yet. And so, you know, you'll often hear us talk about something, you know, a year from now where others may have been talking about it three years earlier, right? We will be talking about this space when we feel it's appropriate for our customers and our partners. >> You have talked about it a little bit, Adam Selipsky went on an interview with myself and John Furrier in October said you watch, you know, large language models are going to be enormous and I know you guys have some stuff that you're working on there. >> It's, I'll say it's exciting. >> Yeah, I mean- >> Well proof point is, Siri is an idiot compared to Alexa. (group laughs) So I trust one entity to come up with something smart. >> I have conversations with Alexa and Siri, and I won't judge either one. >> You don't need, you could be objective on that one. I definitely have a preference. >> Are the problems you guys solving in this space, you know, what's unique about 'em? What are they, can we, sort of, take some examples here (indistinct). >> Sure, the main theme is that the enterprise is taking control. They want to have their own networks. They want to focus on specific applications, and they want to build them with a skeleton crew. The one IT person in a warehouse want to be able to do it all. So what's unique about them is that they're now are a lot of automation on robotics, especially in warehousing environment agriculture. There simply aren't enough people in these industries, and that required precision. And so you need all that integration to make it work. People also want to build these networks as they want to control it. They want to figure out how do we actually pick this team and migrate it. Maybe just do the front of the house first. Maybe it's a security team that monitor the building, maybe later on upgrade things that use to open doors and close doors and collect maintenance data. So that ability to pick what you want to do from a new processors is really important. And then you're also seeing a lot of public-private network interconnection. That's probably the undercurrent of this show that haven't been talked about. When people say private networks, they're also talking about something called neutral host, which means I'm going to build my own network, but I want it to work, my Verizon (indistinct) need to work. There's been so much progress, it's not done yet. So much progress about this bring my own network concept, and then make sure that I'm now interoperating with the public network, but it's my domain. I can create air gaps, I can create whatever security and policy around it. That is probably the power of 5G. Now take all of these tiny networks, big networks, put them all in one ecosystem. Call it the Amazon marketplace, call it the Amazon ecosystem, that's 5G. It's going to be tremendous future. >> What does the future look like? We're going to, we just determined we're going to be orchestrating the network through human language, okay? (group laughs) But seriously, what's your vision for the future here? You know, both connectivity and cloud are on on a continuum. It's, they've been on a continuum forever. They're going to continue to be on a continuum. That being said, those continuums are coming together, right? They're coming together to bring greater value to a greater set of customers, and frankly all of us. So, you know, the future is now like, you know, this conference is the future, and if you look at what's going on, it's about the acceleration of the future, right? What we announced this week is really the acceleration of listening to customers for the last handful of years. And, we're going to continue to do that. We're going to continue to bring greater value in the form of solutions. And that's what I want to pick up on from the prior question. It's not about the network, it's not about the cloud, it's about the solutions that we can provide the customers where they are, right? And if they're on their mobile phone or they're in their factory floor, you know, they're looking to accelerate their business. They're looking to accelerate their value. They're looking to create greater safety for their employees. That's what we can do with these technologies. So in fact, when we came out with, you know, our announcement for integrated private wireless, right? It really was about industry solutions. It really isn't about, you know, the cloud or the network. It's about how you can leverage those technologies, that continuum, to deliver you value. >> You know, it's interesting you say that, 'cause again, when we were interviewing Adam Selipsky, everybody, you know, all journalists analysts want to know, how's Adam Selipsky going to be different from Andy Jassy, what's the, what's he going to do to Amazon to change? And he said, listen, the real answer is Amazon has changed. If Andy Jassy were here, we'd be doing all, you know, pretty much the same things. Your point about 17 years ago, the cloud was S3, right, and EC2. Now it's got to evolve to be solutions. 'Cause if that's all you're selling, is the bespoke services, then you know, the future is not as bright as the past has been. And so I think it's key to look for what are those outcomes or solutions that customers require and how you're going to meet 'em. And there's a lot of challenges. >> You continue to build value on the value that you've brought, and you don't lose sight of why that value is important. You carry that value proposition up the stack, but the- what you're delivering, as you said, becomes maybe a bigger or or different. >> And you are getting more solution oriented. I mean, you're not hardcore solutions yet, but we're seeing more and more of that. And that seems to be a trend. We've even seen in the database world, making things easier, connecting things. Not really an abstraction layer, which is sort of antithetical to your philosophy, but it creates a similar outcome in terms of simplicity. Yeah, you're smiling 'cause you guys always have a different angle, you know? >> Yeah, we've had this conversation. >> It's right, it's, Jassy used to say it's okay to be misunderstood. >> That's Right. For a long time. >> Yeah, right, guys, thanks so much for coming to theCUBE. I'm so glad we could make this happen. >> It's always good. Thank you. >> Thank you so much. >> All right, Dave Nicholson, for Lisa Martin, Dave Vellante, John Furrier in the Palo Alto studio. We're here at the Fira, wrapping out MWC23. Keep it right there, thanks for watching. (upbeat music)

>>Welcome back to the cubes coverage of AWS public sector summit live in Washington D. C. A face to face event were on the ground here is to keep coverage. I'm john Kerry, your hosts got two great guests. Both cuba alumni Shannon Kellogg VP of public policy for the Americas and john would ceo tell us congratulations on some announcement on stage and congressional john being a public company. Last time I saw you in person, you are private. Now your I. P. O. Congratulations >>totally virtually didn't meet one investor, lawyer, accountant or banker in person. It's all done over zoom. What's amazing. >>We'll go back to that and a great great to see you had great props here earlier. You guys got some good stuff going on in the policy side, a core max on stage talking about this Virginia deal. Give us the update. >>Yeah. Hey thanks john, it's great to be back. I always like to be on the cube. Uh, so we made an announcement today regarding our economic impact study, uh, for the commonwealth of Virginia. And this is around the amazon web services business and our presence in Virginia or a WS as we all, uh, call, uh, amazon web services. And um, basically the data that we released today shows over the last decade the magnitude of investment that we're making and I think reflects just the overall investments that are going into Virginia in the data center industry of which john and I have been very involved with over the years. But the numbers are quite um, uh, >>just clever. This is not part of the whole H. 20. H. Q. Or whatever they call HQ >>To HQ two. It's so Virginia Amazon is investing uh in Virginia as part of our HQ two initiative. And so Arlington Virginia will be the second headquarters in the U. S. In addition to that, AWS has been in Virginia for now many years, investing in both data center infrastructure and also other corporate facilities where we house AWS employees uh in other parts of Virginia, particularly out in what's known as the dullest technology corridor. But our data centers are actually spread throughout three counties in Fairfax County, Loudoun County in Prince William County. >>So this is the maxim now. So it wasn't anything any kind of course this is Virginia impact. What was, what did he what did he announce? What did he say? >>Yeah. So there were a few things that we highlighted in this economic impact study. One is that over the last decade, if you can believe it, we've invested $35 billion 2020 alone. The AWS investment in construction and these data centers. uh it was actually $1.3 billion 2020. And this has created over 13,500 jobs in the Commonwealth of Virginia. So it's a really great story of investment and job creation and many people don't know John in this Sort of came through in your question too about HQ two, But aws itself has over 8000 employees in Virginia today. Uh, and so we've had this very significant presence for a number of years now in Virginia over the last, you know, 15 years has become really the cloud capital of the country, if not the world. Uh, and you see all this data center infrastructure that's going in there, >>John What's your take on this? You've been very active in the county there. Um, you've been a legend in the area and tech, you've seen this many years, you've been doing so I think the longest running company doing cyber my 31st year, 31st year. So you've been on the ground. What does this all mean to you? >>Well, you know, it goes way back to, it was roughly 2005 when I served on the Economic Development Commission, Loudon County as the chairman. And at the time we were the fastest-growing county in America in Loudon County. But our residential real property taxes were going up stratospherically because when you look at it, every dollar real property tax that came into residential, we lose $2 because we had to fund schools and police and fire departments and so forth. And we realized for every dollar of commercial real property tax that came in, We made $97 in profit, but only 13% of the money that was coming into the county was coming in commercially. So a small group got together from within the county to try and figure out what were the assets that we had to offer to companies like Amazon and we realized we had a lot of land, we had water and then we had, you know this enormous amount of dark fiber, unused fibre optic. And so basically the county made it appealing to companies like amazon to come out to Loudon County and other places in northern Virginia and the rest is history. If you look today, we're Loudon County is Loudon County generates a couple $100 million surplus every year. It's real property taxes have come down in in real dollars and the percentage of revenue that comes from commercials like 33 34%. That's really largely driven by the data center ecosystem that my friend over here Shannon was talking. So >>the formula basically is look at the assets resources available that may align with the kind of commercial entities that good. How's their domicile there >>that could benefit. >>So what about power? Because the data centers need power, fiber fiber is great. The main, the main >>power you can build power but the main point is is water for cooling. So I think I think we had an abundance of water which allowed us to build power sources and allowed companies like amazon to build their own power sources. So I think it was really a sort of a uh uh better what do they say? Better lucky than good. So we had a bunch of assets come together that helps. Made us, made us pretty lucky as a, as a region. >>Thanks area too. >>It is nice and >>john, it's really interesting because the vision that john Wood and several of his colleagues had on that economic development board has truly come through and it was reaffirmed in the numbers that we released this week. Um, aws paid $220 million 2020 alone for our data centers in those three counties, including loud >>so amazon's contribution to >>The county. $220 million 2020 alone. And that actually makes up 20% of overall property tax revenues in these counties in 2020. So, you know, the vision that they had 15 years ago, 15, 16 years ago has really come true today. And that's just reaffirmed in these numbers. >>I mean, he's for the amazon. So I'll ask you the question. I mean, there's a lot of like for misinformation going around around corporate reputation. This is clearly an example of the corporation contributing to the, to the society. >>No, no doubt. And you think >>About it like that's some good numbers, 20 million, 30 >>$5 million dollar capital investment. You know, 10, it's, what is it? 8000 9000 >>Jobs. jobs, a W. S. jobs in the Commonwealth alone. >>And then you look at the economic impact on each of those counties financially. It really benefits everybody at the end of the day. >>It's good infrastructure across the board. How do you replicate that? Not everyone's an amazon though. So how do you take the formula? What's your take on best practice? How does this rollout? And that's the amazon will continue to grow, but that, you know, this one company, is there a lesson here for the rest of us? >>I think I think all the data center companies in the cloud companies out there see value in this region. That's why so much of the internet traffic comes through northern Virginia. I mean it's I've heard 70%, I've heard much higher than that too. So I think everybody realizes this is a strategic asset at a national level. But I think the main point to bring out is that every state across America should be thinking about investments from companies like amazon. There are, there are really significant benefits that helps the entire community. So it helps build schools, police departments, fire departments, etcetera, >>jobs opportunities. What's the what's the vision though? Beyond data center gets solar sustainability. >>We do. We have actually a number of renewable energy projects, which I want to talk about. But just one other quick on the data center industry. So I also serve on the data center coalition which is a national organization of data center and cloud providers. And we look at uh states all over this country were very active in multiple states and we work with governors and state governments as they put together different frameworks and policies to incent investment in their states and Virginia is doing it right. Virginia has historically been very forward looking, very forward thinking and how they're trying to attract these data center investments. They have the right uh tax incentives in place. Um and then you know, back to your point about renewable energy over the last several years, Virginia is also really made some statutory changes and other policy changes to drive forward renewable energy in Virginia. Six years ago this week, john I was in a coma at county in Virginia, which is the eastern shore. It's a very rural area where we helped build our first solar farm amazon solar farm in Virginia in 2015 is when we made this announcement with the governor six years ago this week, it was 88 megawatts, which basically at the time quadruple the virginias solar output in one project. So since that first project we at Amazon have gone from building that one facility, quadrupling at the time, the solar output in Virginia to now we're by the end of 2023 going to be 1430 MW of solar power in Virginia with 15 projects which is the equivalent of enough power to actually Enough electricity to power 225,000 households, which is the equivalent of Prince William county Virginia. So just to give you the scale of what we're doing here in Virginia on renewable energy. >>So to me, I mean this comes down to not to put my opinion out there because I never hold back on the cube. It's a posture, we >>count on that. It's a >>posture issue of how people approach business. I mean it's the two schools of thought on the extreme true business. The government pays for everything or business friendly. So this is called, this is a modern story about friendly business kind of collaborative posture. >>Yeah, it's putting money to very specific use which has a very specific return in this case. It's for everybody that lives in the northern Virginia region benefits everybody. >>And these policies have not just attracted companies like amazon and data center building builders and renewable energy investments. These policies are also leading to rapid growth in the cybersecurity industry in Virginia as well. You know john founded his company decades ago and you have all of these cybersecurity companies now located in Virginia. Many of them are partners like >>that. I know john and I both have contributed heavily to a lot of the systems in place in America here. So congratulations on that. But I got to ask you guys, well I got you for the last minute or two cybersecurity has become the big issue. I mean there's a lot of these policies all over the place. But cyber is super critical right now. I mean, where's the red line Shannon? Where's you know, things are happening? You guys bring security to the table, businesses are out there fending for themselves. There's no militia. Where's the, where's the, where's the support for the commercial businesses. People are nervous >>so you want to try it? >>Well, I'm happy to take the first shot because this is and then we'll leave john with the last word because he is the true cyber expert. But I had the privilege of hosting a panel this morning with the director of the cybersecurity and Infrastructure Security agency at the department, Homeland Security, Jenness easterly and the agency is relatively new and she laid out a number of initiatives that the DHS organization that she runs is working on with industry and so they're leaning in their partnering with industry and a number of areas including, you know, making sure that we have the right information sharing framework and tools in place, so the government and, and we in industry can act on information that we get in real time, making sure that we're investing for the future and the workforce development and cyber skills, but also as we enter national cybersecurity month, making sure that we're all doing our part in cyber security awareness and training, for example, one of the things that are amazon ceo Andy Jassy recently announced as he was participating in a White house summit, the president biden hosted in late august was that we were going to at amazon make a tool that we've developed for information and security awareness for our employees free, available to the public. And in addition to that we announced that we were going to provide free uh strong authentication tokens for AWS customers as part of that announcement going into national cybersecurity months. So what I like about what this administration is doing is they're reaching out there looking for ways to work with industry bringing us together in these summits but also looking for actionable things that we can do together to make a difference. >>So my, my perspective echoing on some of Shannon's points are really the following. Uh the key in general is automation and there are three components to automation that are important in today's environment. One is cyber hygiene and education is a piece of that. The second is around mis attribution meaning if the bad guy can't see you, you can't be hacked. And the third one is really more or less around what's called attribution, meaning I can figure out actually who the bad guy is and then report that bad guys actions to the appropriate law enforcement and military types and then they take it from there >>unless he's not attributed either. So >>well over the basic point is we can't as industry hat back, it's illegal, but what we can do is provide the tools and methods necessary to our government counterparts at that point about information sharing, where they can take the actions necessary and try and find those bad guys. >>I just feel like we're not moving fast enough. Businesses should be able to hack back. In my opinion. I'm a hawk on this one item. So like I believe that because if people dropped on our shores with troops, the government will protect us. >>So your your point is directly taken when cyber command was formed uh before that as airlines seeing space physical domains, each of those physical domains have about 100 and $50 billion they spend per year when cyber command was formed, it was spending less than Jpmorgan chase to defend the nation. So, you know, we do have a ways to go. I do agree with you that there needs to be more uh flexibility given the industry to help help with the fight. You know, in this case. Andy Jassy has offered a couple of tools which are, I think really good strong tokens training those >>are all really good. >>We've been working with amazon for a long time, you know, ever since, uh, really, ever since the CIA embrace the cloud, which was sort of the shot heard around the world for cloud computing. We do the security compliance automation for that air gap region for amazon as well as other aspects >>were all needs more. Tell us faster, keep cranking up that software because tell you right now people are getting hit >>and people are getting scared. You know, the colonial pipeline hack that affected everybody started going wait a minute, I can't get gas. >>But again in this area of the line and jenny easterly said this this morning here at the summit is that this truly has to be about industry working with government, making sure that we're working together, you know, government has a role, but so does the private sector and I've been working cyber issues for a long time to and you know, kind of seeing where we are this year in this recent cyber summit that the president held, I really see just a tremendous commitment coming from the private sector to be an effective partner in securing the nation this >>full circle to our original conversation around the Virginia data that you guys are looking at the Loudon County amazon contribution. The success former is really commercial public sector. I mean, the government has to recognize that technology is now lingua franca for all things everything society >>well. And one quick thing here that segues into the fact that Virginia is the cloud center of the nation. Um uh the president issued a cybersecurity executive order earlier this year that really emphasizes the migration of federal systems into cloud in the modernization that jOHN has worked on, johN had a group called the Alliance for Digital Innovation and they're very active in the I. T. Modernization world and we remember as well. Um but you know, the federal government is really emphasizing this, this migration to cloud and that was reiterated in that cybersecurity executive order >>from the, well we'll definitely get you guys back on the show, we're gonna say something. >>Just all I'd say about about the executive order is that I think one of the main reasons why the president thought was important is that the legacy systems that are out there are mainly written on kobol. There aren't a lot of kids graduating with degrees in COBOL. So COBOL was designed in 1955. I think so I think it's very imperative that we move has made these workloads as we can, >>they teach it anymore. >>They don't. So from a security point of view, the amount of threats and vulnerabilities are through the >>roof awesome. Well john I want to get you on the show our next cyber security event. You have you come into a fireside chat and unpack all the awesome stuff that you're doing. But also the challenges. Yes. And there are many, you have to keep up the good work on the policy. I still say we got to remove that red line and identified new rules of engagement relative to what's on our sovereign virtual land. So a whole nother Ballgame, thanks so much for coming. I appreciate it. Thank you appreciate it. Okay, cute coverage here at eight of public sector seven Washington john ferrier. Thanks for watching. Mhm. Mhm.

>>and hello, we're back. I've got my panel and we are doing things real time here. So sorry for the delay a few minutes late. So the way let's talk about things, the reason we're here and we're going around the room and introduce everybody. Got three special guests here. I got my evil or my john and the normal And we're going to talk about get ops I called it future office just because I want to think about what's the next thing for that at the end, we're gonna talk about what our ideas for what's next for getups, right? Um, because we're all starting to just get into get ups now. But of course a lot of us are always thinking about what's next? What's better? How can we make this thing better? So we're going to take your questions. That's the reason we're here, is to take your questions and answer them. Or at least the best we can for the next hour. And all right, so let's go around the room and introduce yourself. My name is Brett. I am streaming from Brett from that. From Brett. From Virginia Beach in Virginia beach, Virginia, United States. Um, and I talk about things on the internet, I sell courses on you, to me that talk about Docker and kubernetes Ive or introduce yourself. >>How's it going? Everyone, I'm a software engineer at axel Springer, currently based in Berlin and I happen to be Brett Brett's teaching assistant. >>All right, that's right. We're in, we're in our courses together almost every day. Mm john >>hey everyone, my name is john Harris, I used to work at Dhaka um, I now work at VM ware is a star field engineer. Um, so yeah, >>and normal >>awesome by the way, you are streaming from Brett Brett, >>I answered from breath to breath. >>Um I'm normal method. I'm a distinguished engineer with booz allen and I'm also a doctor captain and it's good to see either in person and it's good to see you again john it's been a little while. >>It has the pre covid times, right? You're up here in Seattle. >>Yeah. It feels, it feels like an eternity ago. >>Yeah, john shirt looks red and reminds me of the Austin T shirt. So I was like, yeah, so we all, we all have like this old limited edition doctor on E. >>T. That's a, that's a classic. >>Yeah, I scored that one last year. Sometimes with these old conference church, you have to like go into people's closets. I'm not saying I did that. Um, but you know, you have to go steal stuff, you to find ways to get the swag >>post post covid. If you ever come to my place, I'm going to have to lock the closets. That >>that's right, That's right. >>So the second I think it was the second floor of the doctor HQ in SAn Francisco was where they kept all the T shirts, just boxes and boxes and boxes floor to ceiling. So every time I went to HQ you just you just as many as you can fit in your luggage. I think I have about 10 of these. You >>bring an extra piece of luggage just for your your shirt shirt grab. Um All right, so I'm going to start scanning questions uh so that you don't have to you can you help you all are welcome to do that. And I'm going to start us off with the topic. Um So let's just define the parameters. Like we can talk about anything devops and here we can go down and plenty of rabbit holes. But the kind of, the goal here is to talk about get ups and get ups if you haven't heard about it is essentially uh using versioning systems like get like we've all been getting used to as developers to track your infrastructure changes, not just your code changes and then automate that with a bunch of tooling so that the robots take over. And essentially you have get as a central source of truth and then get log as a central source of history and then there's a bunch of magic little bits in the middle and then supposedly everything is wonderful. It's all automatic. The reality is is what it's often quite messy, quite tricky to get everything working. And uh the edges of this are not perfect. Um so it is a relatively new thing. It's probably three, maybe four years old as an official thing from. We've uh so we're gonna get into it and I'll let's go around the room and the same word we did before and um not to push on that, put you on the spot or anything. But what is, what is one of the things you either like or either hate about getups um that you've enjoyed either using it or you know, whatever for me. I really, I really love that I can point people to a repo that basically is hopefully if they look at the log a tracking, simplistic tracking of what might have changed in that part of the world or the environment. I remember many years past where, you know, I've had executive or some mid level manager wants to see what the changes were or someone outside my team went to see what we just changed. It was okay, they need access to this system into that dashboard and that spreadsheet and then this thing and it was always so complicated and now in a world where if we're using get up orbit bucket or whatever where you can just say, hey go look at that repo if there was three commits today, probably three changes happened. That's I love that particular part about it. Of course it's always more complicated than that. But um Ive or I know you've been getting into this stuff recently. So um any thoughts? Yeah, I think >>my favorite part about get ops is >>reproducibility. Um >>you know the ability to just test something and get it up and running >>and then just tear it down. >>Uh not >>being worried that how did I configure it the first time? I think that's my favorite part about >>it. I'm changing your background as we do this. >>I was going to say, did you just do it get ups pushed to like change his >>background, just a dialogue that different for that green screen equals false? Uh Change the background. Yeah, I mean, um and I mean I think last year was really my first year of actually using it on anything significant, like a real project. Um so I'm still, I still feel like I'm very new to john you anything. >>Yeah, it's weird getups is that thing which kind of crystallizes maybe better than anything else, the grizzled veteran life cycle of emotions with the technology because I think it's easy to get super excited about something new. And when I first looked into get up, so I think this is even before it was probably called getups, we were looking at like how to use guest source of truth, like everything sounds great, right? You're like, wait, get everyone knows, get gets the source of truth, There's a load of robust tooling. This just makes a sense. If everything dies, we can just apply the get again, that would be great. Um and then you go through like the trough of despair, right? We're like, oh no, none of this works. The application is super stateless if this doesn't work and what do we do with secrets and how do we do this? Like how do we get people access in the right place and then you realize everything is terrible again and then everything it equalizes and you're kind of, I think, you know, it sounds great on paper and they were absolutely fantastic things about it, but I think just having that measured approach to it, like it's, you know, I think when you put it best in the beginning where you do a and then there's a magic and then you get C. Right, like it's the magic, which is >>the magic is the mystery, >>right? >>Magic can be good and bad and in text so >>very much so yeah, so um concurrence with with john and ever uh in terms of what I like about it is the potential to apply it to moving security to left and getting closer to a more stable infrastructures code with respect to the whole entire environment. Um And uh and that reconciliation loop, it reminds me of what, what is old is new again? Right? Well, quote unquote old um in terms of like chef and puppet and that the reconciliation loop applied in a in a more uh in a cleaner interface and and into the infrastructure that we're kind of used to already, once you start really digging into kubernetes what I don't like and just this is in concurrence with the other Panelist is it's relatively new. It has um, so it has a learning curve and it's still being, you know, it's a very active um environment and community and that means that things are changing and constantly and there's like new ways and new patterns as people are exploring how to use it. And I think that trough of despair is typically figuring out incrementally what it actually is doing for you and what it's not going to solve for you, right, john, so like that's that trough of despair for a bit and then you realize, okay, this is where it fits potentially in my architecture and like anything, you have to make that trade off and you have to make that decision and accept the trade offs for that. But I think it has a lot of promise for, for compliance and security and all that good stuff. >>Yeah. It's like it's like the potentials, there's still a lot more potential than there is uh reality right now. I think it's like I feel like we're very early days and the idea of especially when you start getting into tooling that doesn't appreciate getups like you're using to get up to and use something else and that tool has no awareness of the concept so it doesn't flow well with all of the things you're trying to do and get um uh things that aren't state based and all that. So this is going to lead me to our first question from Camden asking dumb questions by the way. No dumb questions here. Um How is get apps? Not just another name for C. D. Anybody want to take that as an answer as a question. How is get up is not just another name for C. D. I have things but we can talk about it. I >>feel like we need victor foster kids. Yeah, sure you would have opinions. Yeah, >>I think it's a very yeah. One person replied said it's a very specific it's an opinionated version of cd. That's a great that's a great answer like that. Yeah. >>It's like an implement. Its it's an implementation of deployment if you want it if you want to use it for that. All right. I realize now it's kind of hard in terms of a physical panel and a virtual panel to figure out who on the panel is gonna, you know, ready to jump in to answer a question. But I'll take it. So um I'll um I'll do my best inner victor and say, you know, it's it's an implementation of C. D. And it's it's a choice right? It's one can just still do docker build and darker pushes and doctor pulls and that's fine. Or use other technologies to deploy containers and pods and change your, your kubernetes infrastructure. But get apps is a different implementation, a different method of doing that same thing at the end of the day. Yeah, >>I like it. I like >>it and I think that goes back to your point about, you know, it's kind of early days still, I think to me what I like about getups in that respect is it's nice to see kubernetes become a platform where people are experimenting with different ways of doing things, right? And so I think that encourages like lots of different patterns and overall that's going to be a good thing for the community because then more, you know, and not everything needs to settle in terms of only one way of doing things, but a lot of different ways of doing things helps people fit, you know, the tooling to their needs, or helps fit kubernetes to their needs, etcetera. Yeah, >>um I agree with that, the, so I'm gonna, since we're getting a load of good questions, so um one of the, one of the, one of the, I want to add to that real quick that one of the uh from the, we've people themselves, because I've had some on the show and one of things that I look at it is distinguishing is with continuous deployment tools, I sort of think that it's almost like previous generation and uh continuous deployment tools can be anything like we would consider Jenkins cd, right, if you if you had an association to a server and do a doctor pull and you know, dr up or dr composed up rather, or if it did a cube control apply uh from you know inside an ssh tunnel or something like that was considered considered C. D. Well get ops is much more rigid I think in terms of um you you need to apply, you have a specific repo that's all about your deployments and because of what tool you're using and that one your commit to a specific repo or in a specific branch that repo depends on how you're setting it up. That is what kicks off a workflow. And then secondly there's an understanding of state. So a lot of these tools now I have uh reconciliation where they they look at the cluster and if things are changing they will actually go back and to get and the robots will take over and will commit that. Hey this thing has changed um and you maybe you human didn't change it, something else might have changed it. So I think that's where getups is approaching it, is that ah we we need to we need to consider more than just a couple of commands that be runnin in a script. Like there needs to be more than that for a getups repo to happen anyway, that's just kind of the the take back to take away I took from a previous conversation with some people um >>we've I don't think that lost, its the last piece is really important, right? I think like for me, C d like Ci cd, they're more philosophical ideas, write a set of principles, right? Like getting an idea or a code change to environments promoting it. It's very kind of pipeline driven um and it's very imperative driven, right? Like our existing CD tools are a lot of the ways that people think about Cd, it would be triggered by an event, maybe a code push and then these other things are happening in sequence until they either fail or pass, right? And then we're done. Getups is very much sitting on the, you know, the reconciliation side, it's changing to a pull based model of reconciliation, right? Like it's very declarative, it's just looking at the state and it's automatically pulling changes when they happen, rather than this imperative trigger driven model. That's not to say that there aren't city tools which we're doing pull based or you can do pull based or get ups is doing anything creatively revolutionary here, but I think that's one of the main things that the ideas that are being introduced into those, like existing C kind of tools and pipelines, um certainly the pull based model and the reconciliation model, which, you know, has a lot in common with kubernetes and how those kind of controllers work, but I think that's the key idea. Yeah. >>Um This is a pretty specific one Tory asks, does anyone have opinions about get ops in a mono repo this is like this is getting into religion a little bit. How many repos are too many repose? How um any thoughts on that? Anyone before I rant, >>go >>for it, go for it? >>Yeah. How I'm using it right now in a monitor repo uh So I'm using GIT hub. Right, so you have what? The workflow and then inside a workflow? Yeah, mo file, I'll >>track the >>actual changes to the workflow itself, as well as a folder, which is basically some sort of service in Amman Arepa, so if any of those things changes, it'll trigger the actual pipeline to run. So that's like the simplest thing that I could figure out how to, you know, get it set up using um get hubs, uh workflow path future. Yeah. And it's worked for me for writing, you know? That's Yeah. >>Yeah, the a lot of these things too, like the mono repo discussion will, it's very tool specific. Each tool has various levels of support for branch branching and different repos and subdirectories are are looking at the defense and to see if there's changes in that specific directory. Yeah. Sorry, um john you're going to say something, >>I was just going to say, I've never really done it, but I imagine the same kind of downsides of mono repo to multiple report would exist there. I mean, you've got the blast radius issues, you've got, you know, how big is the mono repo? Do we have to pull does the tool have to pull that or cashier every time it needs to determine def so what is the support for being able to just look at directories versus you know, I think we can get way down into a deeper conversation. Maybe we'll save it for later on in the conversation about what we're doing. Get up, how do we structure our get reposed? We have super granular repo per environment, Perper out reaper, per cluster repo per whatever or do we have directories per environment or branches per environment? How how is everything organized? I think it's you know, it's going to be one of those, there's never one size fits all. I'll give the class of consultant like it depends answer. Right? >>Yeah, for sure. It's very similar to the code struggle because it depends. >>Right? >>Uh Yeah, it's similar to the to the code problem of teams trying to figure out how many repose for their code. Should they micro service, should they? Semi micro service, macro service. Like I mean, you know because too many repose means you're doing a bunch of repo management, a bunch of changes on your local system, you're constantly get pulling all these different things and uh but if you have one big repo then it's it's a it's a huge monolithic thing that you usually have to deal with. Path based issues of tools that only need to look at a specific directory and um yeah, it's a it's a culture, I feel like yeah, like I keep going back to this, it's a culture thing. Does your what is your team prefer? What do you like? What um what's painful for everyone and who's what's the loudest pain that you need to deal with? Is it is it repo management? That's the pain um or is it uh you know, is that that everyone's in one place and it's really hard to keep too many cooks out of the kitchen, which is a mono repo problem, you know? Um How do we handle security? So this is a great one from Tory again. Another great question back to back. And that's the first time we've done that um security as it pertains to get up to anyone who can commit can change the infrastructure. Yes. >>Yes. So the tooling that you have for your GIT repo and the authentication, authorization and permissions that you apply to the GIT repo using a get server like GIT hub or get lab or whatever your flavor of the day is is going to be how security is handled with respect to changes in your get ups configuration repository. So um that is completely specific to your implementation of that or ones implementation of of how they're handling that. Get repositories that the get ups tooling is looking at. To reconcile changes with respect to the permissions of the for lack of better term robot itself. Right? They get up tooling like flux or Argosy. D Um one kid would would create a user or a service account or uh other kind of authentication measures to limit the permissions for that service account that the Gaddafi's tooling needs to be able to read the repose and and send commits etcetera. So that is well within the realm of what you have already for your for your get your get um repo. Yeah. >>Yeah. A related question is from a g what they like about get apps if done nicely for a newbie it's you can get stuff done easily if you what they dislike about it is when you have too many get repose it becomes just too complicated and I agree. Um was making a joke with a team the other week that you know the developer used to just make one commit and they would pass pass it on to a QA team that would then eventually emerging in the master. But they made the commits to these feature branches or whatever. But now they make a commit, they make a pR there for their code then they go make a PR in the helm chart to update the thing to do that and then they go make a PR in the get ups repeal for Argo. And so we talked about that they're probably like four or five P. R. Is just to get their code in the production. But we were talking about the negative of that but the reality was It's just five or 4 or five prs like it wasn't five different systems that had five different methodologies and tooling and that. So I looked at it I was like well yeah that's kind of a pain in the get sense but you're also dealing with one type. It's a repetitive action but it's it's the one thing I don't have to go to five different systems with five different ways of doing it. And once in the web and one's on the client wants a command line that I don't remember. Um Yeah so it's got pros and cons I think when you >>I think when you get to the scale where those kind of issues are a problem then you're probably at the scale where you can afford to invest some time into automation into that. Right? Like what I've when I've seen this in larger customers or larger organizations if there ever at that stage where okay apps are coming up all the time. You know, there's a 10 X 100 X developer to operations folks who may be creating get repose setting up permissions then that stuff gets automated, right? Like, you know, maybe ticket based systems or whatever. Developers say I need a new app. It templates things or more often using the same model, right of reconciliation and operators and the horrific abuse of cogs that we're seeing in the communities community right now. Um You know, developers can create a crd which just says, hey, I'm creating a new app is called app A and then a controller will pick up that app a definition. It will go create a get a repo Programmatically it will add the right definitely will look up and held up the developers and the permissions that need to be able to get to that repo it will create and template automatically some name space and the clusters that it needs in the environments that it needs, depending on, you know, some metadata it might read. So I think, you know, those are definite problems and they're definitely like a teething, growing pain thing. But once you get to that scale, you kind of need to step back and say, well look, we just need to invest in time into the operational aspect of this and automating this pain away, I think. Yeah, >>yeah. And that ultimately ends in Yeah. Custom tooling, which it's hard to avoid it at scale. I mean, there's there's two, there's almost two conversations here, right. There is what I call the Solo admin Solo devops, I bought that domain Solo devops dot com because, you know, whenever I'm talking to dr khan in the real world, it's like I asked people to raise hands, I don't know how we can raise hands here, but I would ask people to raise hands and see how many of you here are. The sole person responsible for deploying the app that your team makes and like a quarter of the room would raise their hand. So I call that solo devops like those, that person can't make all the custom tooling in the world. So they really need dr like solutions where it's opinionated, the workflow is sort of built in and they don't have to wrangle things together with a bunch of glue, you know, in other words bash. Um and so this kind of comes to a conversation uh starting this question from lee he's asking how do you combine get ops with ci cd, especially the continuous bit. How do you avoid having a human uh sort of the complaint the team I was working with has, how do you avoid a human editing and get committing for every single deploy? They've settled on customized templates and a script for routine updates. So as a seed for this conference, this question I'm gonna ask you all uh instead of that specific question cause it's a little open ended. Um Tell me whether you agree with this. I I kind of look at the image, the image artifact because the doctor image or container image in general is an artifact that I I view it that way and that thing going into the registry with the right label or right part of the label. Um That tag rather not the label but the tag that to me is like one of the great demarche points of, we're kind of done with Ci and we're now into the deployment phase and it doesn't necessarily mean the tooling is a clear cut there, but that artifact being shipped in a specific way or promoted as we sometimes say. Um what do you think? Does anyone have opinions on that? I don't even know if that's the right opinion to have so mhm. >>So um I think what you're, what you're getting at is that get ups, models can trigger off of different events um to trigger the reconciliation loop. And one way to do that is if the image, if it notices a image change in the registry, the other is if there's a commit event on a specific rebo and branch and it's up to, you are up to the person that's implementing their get ups model, what event to trigger there, that reconciliation loop off of, You can do both, you can do one or the other. It also depends on the Templeton engine that you're using on top of um on top of kubernetes, such as helm or um you know, the other ones that are out there or if you're not even doing that, then, you know straight. Yeah, mo um so it kind of just depends, but those are the typically the two options one has and a combination of of those to trigger that event. You can also just trigger it manually, right? You can go into the command line and force a a, you know, a really like a scan or a new reconciliation loop to occur. So it kind of just, I don't want to say this, but it depends on what you're trying to do and what makes sense in your pipeline. Right? So if you're if you're set up where you are tag, if you're doing it based off of image tags, then you probably want to use get ups in a way that you're using the image tags. Right. And the pattern that you've established there, if you're not really doing that and you're more around, like, different branches are mapped to different environments, then triggered off of the correct branch. And that's where the permissions also come into play. Where if you don't want someone to touch production and you've got your getups for your production cluster based off of like uh you know, a main branch, then whoever can push a change to that main branch has the authority to push that change to production. Right? So that's your authentication and permissions um system same for the registry itself. Right. So >>Yeah. Yeah. Sorry, anyone else have any thoughts on that? I was about to go to the next topic, >>I was going to say. I think certain tools dictate the approach, like, if you're using Argosy d it's I think I'm correct me if I'm wrong, but I think the only way to use it right now is just through image modification. Like, the manifest changes, it looks at a specific directory and anything changes then it will do its thing. And uh Synchronize the cost there with whatever's and get >>Yeah, flux has both. Yeah, and flux has both. So it it kind of depends. I think you can make our go do that too, but uh this is back to what we were saying in the beginning, uh you know, these things are changing, right? So that might be what it is right now in terms of triggering the reconciliation loops and get ups, tooling, but there might be other events in the future that might trigger it, and it's not completely stand alone because you still need you're tooling to do any kind of testing or whatever you have in terms of like the specific pipeline. So oftentimes you're bolting in getups into some other part of broader Cfd solution. That makes sense. Yeah, >>we've got a lot of questions about secrets or people that are asking about secrets. >>So my my tongue and cheek answered the secrets question was, what's the best practices for kubernetes? Secrets? That's the same thing for secrets with good apps? Uh getups is not last time I checked and last time I was running this stuff get ups is not has nothing to do with secrets in that sense. It's just there to get your stuff running on communities. So, um there's probably a really good session on secrets at dr concept. I >>would agree with you, I agree with you. Yeah, I mean, get off stools, I mean every every project of mine handles secrets differently. Uh huh. And I think I'm not sure if it was even when I was talking to but talking to someone recently that I'm very bullish on get up actions, I love get up actions, it's not great for deployments yet, but we do have this new thing and get hub environments, I think it's called. So it allows me at least the store secrets per environment, which it didn't have the concept of that before, which you know, if you if any of you running kubernetes out there, you typically end up when you start running kubernetes, you end up with more than one kubernetes, like you're going to end up with a lot of clusters at some point, at least many multiple, more than two. Um and so if you're trying to store secret somewhere, you do have and there's a discussion happening in chat right now where people are talking about um sealed secrets which if you haven't heard of that, go look that up and just be versed on what sealed secrets is because it's a it's a fantastic concept for how to store secrets in the public. Um I love it because I'm a big P. K. I nerd but um it's not the only way and it doesn't fit all models. So I have clients that use A W. S. Secrets because they're in A W. S. And then they just have to use the kubernetes external secret. But again like like like normal sand, you know, it's that doesn't really affect get ops, get ops is just applying whatever helm charts or jahmal or images that you're, you're you're deploying, get off. It was more about the approach of when the changes happen and whether it's a push or pull model like we're talking about and you know, >>I would say there's a bunch of prerequisites to get ups secrets being one of them because the risk of you putting a secret into your git repo if you haven't figured out your community secrets architecture and start diving into getups is high and removing secrets from get repose is you know, could be its own industry, right. It's >>a thing, >>how do >>I hide this? How do I obscure this commit that's already now on a dozen machines. >>So there are some prerequisites in terms of when you're ready to adopt get up. So I think is the right way of saying the answer to that secrets being one of them. >>I think the secrets was the thing that made me, you know, like two or three years ago made me kind of see the ah ha moment when it came to get ups which, which was that the premier thing that everyone used to say about get up about why it was great. Was its the single source of truth. There's no state anywhere else. You just need to look at git. Um and then secrets may be realized along with a bunch of other things down the line that is not true and will never be true. So as soon as you can lose the dogmatism about everything is going to be and get it's fantastic. As long as you've understood everything is not going to get. There are things which will absolutely never be and get some tools just don't deal with that. They need to earn their own state, especially in communities, some controls on their own state. You know, cuz sealed secrets and and other projects like SOps and I think there are two or three others. That's a great way of dealing with secrets if you want to keep them in get. But you know, projects like vault more kind of like what I would say, production grade secret strategies. Right? And if you're in AWS or a cloud, you're more likely to be using their secrets. Your secret policy is maybe not dictated by you in large organizations might be dictated by CSO or security or Great. Like I think once if you, if you're trying to adopt getups or you're thinking about it, get the dogmatism of get as a single point of truth out of your mind and think about getups more as a philosophy and a set of best practice principles, then you will be in much better stead, >>right? Yeah. >>People are asking more questions in chat like infrastructure as code plus C d essentially get ups or C I rather, um, these are all great questions and a part of the debate, I'm actually just going to throw up on screen. I'm gonna put this in chat, but this is, this is to me the source, Right? So we worked with when they coined the term. We, a lot of us have been trying to get, if we talk about the history for a minute and then tell me if I'm getting this right. Um, a lot of us were trying to automate all these different parts of the puzzle, but a lot of them, they, some things might have been infrastructure as code. Some things weren't, some things were sort of like settings is coded, like you're going to Jenkins and type in secrets and settings or type in a certain thing in the settings of Jenkins and then that it wasn't really in get and so what we was trying to go for was a way to have almost like eventually a two way state understanding where get might change your infrastructure but then your infrastructure might also change and needs to be reflected in the get if the get is trying to be the single source of truth. Um and like you're saying the reality is that you're never gonna have one repo that has all of your infrastructure in it, like you would have to have, you have to have all your terra form, anything else you're spinning up. Right. Um but anyway, I'm gonna put this link in chat. So this guide actually, uh one of things they talk about is what it's not, so it's, it's kind of great to read through the different requirements and like what I was saying well ago um mhm. Having having ci having infrastructure as code and then trying a little bit of continuous deployment out, it's probably a prerequisite. Forget ops so it's hard to just jump into that when you don't already have infrastructure as code because a machine doing stuff on your behalf, it means that you have to have things documented and somewhere and get repo but let me put this in the in the >>chitty chat, I would like to know if the other panelists agree, but I think get apps is a okay. I would say it's a moderate level, it's not a beginner level communities thing, it's like a moderate level advanced, a little bit more advanced level. Um One can start off using it but you definitely have to have some pre recs in place or some understanding of like a pattern in place. Um So what do the other folks think about that opinion? >>I think if you're if you're trying to use get out before, you know what problem you have, you're probably gonna be in trouble. Right. It's like having a solution to it probably don't have yet. Mhm. Right. I mean if if you're just evil or and you're just typing, keep control apply, you're one person right, Get off. It doesn't seem like a big a big jump, like, I mean it doesn't like why would I do that? I'm just, I'm just gonna inside, it's the type of get commit right, I'm typing Q control apply. But I think one of the rules from we've is none of your developers and none of your admins can have cute control access to the cluster because if you can't, if you do have access and you can just apply something, then that's just infrastructure as code. That's just continuous deployment, that's, that's not really get ops um, getups implies that the only way things get into the cluster is through the get up, get automation that you're using with, you know, flux Argo, we haven't talked about, what's the other one that Victor Farsi talks about, by the way people are asking about victor, because victor would love to talk about this stuff, but he's in my next life, so come back in an hour and a half or whatever and victor is going to be talking about sys, admin list with me. Um >>you gotta ask him nothing but get up questions in the next, >>confuse them, confuse them. But anyway, that, that, that's um, it's hard, it's hard to understand and without having tried it, I think conceptually it's a little challenging >>one thing with getups, especially based off the we've works blog post that you just put up on there. It's an opinionated way of doing something. Uh you know, it's an opinionated way of of delivering changes to an environment to your kubernetes environment. So it's opinionated were often not used to seeing things that are very opinionated in this sense, in the in the ecosystem, but get apps is a opinionated thing. It's it's one way of doing it. Um there are ways to change it and like there are options um like what we were talking about in terms of the events that trigger, but the way that it's structured is an opinion opinionated way both from like a tooling perspective, like using get etcetera, but also from a devops cultural perspective, right? Like you were talking about not having anyone access cube control and changing the cluster directly. That's a philosophical opinion that get ups forces you to adopt otherwise. It kind of breaks the model and um I just I want everyone to just understand that. That is very opinion, anything in that sense. Yeah, >>polygamy is another thing. Infrastructure as code. Um someone's mentioning plummy and chat, I just had actually my life show self plug bread that live go there. I'm on Youtube every week. I did the same thing. These these are my friends um and had palami on two weeks ago uh last week, remember uh and it was in the last couple of weeks and we talked about their infrastructure as code solution. Were actually writing code instead of um oh that's an interesting take on uh developer team sort of owning coding the infrastructure through code rather than Yamil as a data language. I don't really have an opinion on it yet because I haven't used it in production or anything in the real real world, but um, I'm not sure how much they are applying trying to go towards the get up stuff. I will do a plug for Solomon hikes. Who has a, the beginning of the day, it's already happened so you can go back and watch it. It's a, it's a, what's it called? Q. Rethinking application delivery with Q. And build kit. So go look this up. This is the found co founder of Dr and former CTO Solomon hikes at the beginning of the day. He has a tool called dagger. I'm not sure why the title of the talk is delivering with Q. And built it, but the tool is showing off in there for an hour is called dagger. And it's, it's an interesting idea on how to apply a lot of this opinionated automated stuff to uh, to deployment and it's get off space and you use Q language. It's a graph language. I watched most of it and it was a really interesting take. I'm excited to see if that takes off and if they try that because it's another way that you can get a little bit more advanced with your you're get deployments and without having to just stick everything in Yemen, which is kind of what we're in today with helm charts and what not. All right. More questions about secrets, I think. I think we're not going to have a whole lot of more, a lot more about secrets basically. Uh put secrets in your cluster to start with and kubernetes in encrypted, you know, thing. And then, you know, as it gets harder, then you have to find another solution when you have five clusters, you don't wanna have to do it five times. That's when you have to go for Walton A W. S secrets and all >>that. Right? I'm gonna post it note. Yeah. Crm into the cluster. Just kidding. >>Yes, there are recordings of this. Yes, they will be later. Uh, because we're that these are all gonna be on youtube later. Um, yeah, detects secrets cushion saying detect secrets or get Guardian are absolute requirements. I think it's in reference to your secrets comment earlier. Um, Camels asking about Cuban is dropping support for Docker that this is not the place to ask for that, but it, it is uh, basically it's a Nonevent Marantz has actually just created that same plug in available in a different repos. So if you want to keep using Docker and kubernetes, you know, you can do it like it's no big deal. Most of us aren't using doctor in our communities anyway, so we're using like container D or whatever is provided to us by our provider. Um yeah, thank you so much for all these comments. These are great people helping each other and chat. I feel like we're just here to make sure the chats available so people can help each other. >>I feel like I want to pick up on something when you mentioned pollux me, I think there's a um we're talking about getups but I think in the original like the origination of that I guess was deploying applications to clusters right, picking up deployment manifest. But I think with the gloomy and I obviously terra form and things have been around a long time, folks are starting to apply this I think I found one earlier which was like um kub stack the Terror Forms get ups framework. Um but also with the advent of things like cluster A. P. I. Um in the Cuban at the space where you can declare actively build the infrastructure for your clusters and build the cluster right? We're not just talking about deploying applications, the cluster A. P. I will talk to a W. S. Spin up, VPc spin up machines, you know, we'll do the same kind of things that terra form does and and those other tools do I think applying getups principles to the infrastructure spin up right, the proper infrastructure as code stuff, constantly applying Terror form um you know, plans and whatever, constantly applying cluster Api resources spinning up stuff in those clouds. That's a super interesting. Um you know, extension of this area, I'd be curious to see if what the folks think about that. >>Yeah, that's why I picked this topic is one of my three. Uh I got I got to pick the topics. I was like the three things that there like the most bleeding edge exciting. Most people haven't, we haven't basically we haven't figured all this out yet. We as an industry, so um it's I think we're gonna see more ideas on it. Um what's the one with the popsicle as the as the icon victor talks about all the time? It's not it's another getups like tool, but it's um it's getups for you use this kubernetes limit and then we have to look it up, >>You're talking about cross plane. >>So >>my >>wife is over here with the sound effects and the first sound effect of the day that she chooses to use is one. >>All right, can we pick it? Let's let's find another question bret >>I'm searching >>so many of them. All right, so uh I think one really quick one is getups only for kubernetes, I think the main to tooling to tools that we're talking about, our Argosy D and flux and they're mostly geared toward kubernetes deployments but there's a, it seems like they're organized in a way that there's a clean abstraction in with respect to the agent that's doing the deployment and the tooling that that can interact with. So I would imagine that in the future and this might be true already right now that get ups could be applied to other types of deployments at some point in the future. But right now it's mostly focused and treats kubernetes as a first class citizen or the tooling on top of kubernetes, let's say something like how as a first class citizen? Yeah, to Brett, >>to me the field, back to you bret the thing I was looking for is cross plane. So that's another tool. Um Victor has been uh sharing a lot about it in Youtube cross plane and that is basically runs inside a kubernetes, but it handles your other infrastructure besides your app. It allows you to like get ops, you're a W. S stuff by using the kubernetes state engine as a, as a way to manage that. And I have not used it yet, but he does some really great demos on Youtube. So people are liking this idea of get off, so they're trying to figure out how do we, how do we manage state? How do we uh because the probably terra form is that, well, there's many problems, but it's always a lot of problems, but in the get outs world it's not quite the right fit yet, It might be, but you still, it's still largely as expected for people to, you know, like type the command, um, and it keeps state locally the ss, clouds and all that. And but the other thing is I'm I'm now realizing that when I saw the demo from Solomon, I'm going back to the Solomon hikes thing. He was using the demo and he was showing it apply deploying something on S three buckets, employing internet wifi and deploying it on google other things beyond kubernetes and saying that it's all getups approach. So I think we're just at the very beginning of seeing because it all started with kubernetes and now there's a swarm one, you can look up swarm, get office and there's a swarm, I can't take the name of it. Swarm sink I think is what's called swarm sink on git hub, which allows you to do swarm based getups like things. And now we're seeing these other tools coming out. They're saying we're going to try to do the get ups concepts, but not for kubernetes specifically and that's I think, you know, infrastructure as code started with certain areas of the world and then now then now we all just assume that you're going to have an infrastructure as code way of doing whatever that is and I think get off is going to have that same approach where pretty soon, you know, we'll have get apps for all the clouds stuff and it won't just be flexor Argo. And then that's the weird thing is will flex and Argo support all those things or will it just be focused on kubernetes apps? You know, community stuff? >>There's also, I think this is what you're alluding to. There is a trend of using um kubernetes and see rDS to provision and control things that are outside of communities like the cloud service providers services as if they were first class entities within kubernetes so that you can use the kubernetes um focus tooling for things that are not communities through the kubernetes interface communities. Yeah, >>yeah, even criticism. >>Yeah, yeah, I'm just going to say that sounds like cross plane. >>Yeah, yeah, I mean, I think that's that's uh there were, you know, for the last couple of years, it's been flux and are going back and forth. Um they're like frenemies, you know, and they've been going back and forth with iterating on these ideas of how do we manage this complicated thing? That is many kubernetes clusters? Um because like Argo, I don't know if the flux V two can do this, but Argo can manage multiple clusters now from one cluster, so your, you can manage other clusters, technically external things from a single entity. Um Originally flux couldn't do that, but I'm going to say that V two can, I don't actually >>know. Um I think all that is gonna, I think that's going to consolidate in the future. All right. In terms of like the common feature set, what Iver and john what do you think? >>I mean, I think it's already begun, right, I think haven't, didn't they collaborate on a common engine? I don't know whether it's finished yet, but I think they're working towards a common getups engine and then they're just going to layer on features on top. But I think, I mean, I think that's interesting, right, because where it runs and where it interacts with, if we're talking about a pull based model, it shouldn't, it's decentralized to a certain extent, right? We need get and we need the agent which is pulling if we're saying there's something else which is orchestrating something that we start to like fuzzy the model even right. Like is this state living somewhere else, then I think that's just interesting as well. I thought flux was completely decentralized, but I know you install our go somewhere like the cargo has a server as well, but it's been a while since I've looked in depth at them. But I think the, you know, does that muddy the agent only pull model? >>I'm reading a >>Yeah, I would say that there's like a process of natural selection going on as as the C. N. C. F. Landscape evolves and grows bigger and a lot of divide and conquer right now. But I think as certain things kind of get more prominent >>and popular, I think >>it starts to trend and it inspires other things and then it starts to aggregate and you know, kind of get back into like a unified kind of like core. Maybe like for instance, cross plane, I feel like it shouldn't even really exist. It should be, it like it's a communities add on, but it should be built in, it should be built into kubernetes, like why doesn't this exist already >>for like controlling a cloud? >>Yeah, like just, you know, having this interface with the cloud provider and be able to Yeah, >>exactly. Yeah, and it kinda, you're right. That kinda happens because you do, I mean when you start talking about storage providers and networking providers was very specific implementations of operators or just individual controllers that do operate and control other resources in the cloud, but certainly not universally right. Not every feature of AWS is available to kubernetes out of the box. Um and you know, it, one of the challenges across plane is you gotta have kubernetes before you can deploy kubernetes. Like there's a chicken and egg issue there where if you're going to use, if you're going to use our cross plane for your other infrastructure, but it's gotta, but it has to run on kubernetes who creates that first kubernetes in order for you to put that on there. And victor talks about one of his videos, the same problem with flux and Argo where like Argo, you can't deploy Argo itself with getups. There has to be that initial, I did a thing with, I'm a human and I typed in some commands on a server and things happened but they don't really have an easy deployment method for getting our go up and running using simply nothing but a get push to an existing system. There's something like that. So it's a it's an interesting problem of day one infrastructure which is again only day one, I think data is way more interesting and hard, but um how can we spend these things up if they're all depending on each other and who is the first one to get started? >>I mean it's true of everything though, I mean at the end of that you need some kind of big bang kind of function too, you know, I started running start everything I >>think without going over that, sorry, without going off on a tangent. I was, I was gonna say there's a, if folks have heard of kind which is kubernetes and Docker, which is a mini kubernetes cluster, you can run in a Docker container or each container will run as a as a node. Um you know, that's been a really good way to spin up things like clusters. KPI because they boot strap a local kind, install the manifests, it will go and spin up a fully sized cluster, it will transfer its resources over there and then it will die itself. Right? So that, that's kind of bootstrapping itself. And I think a couple of folks in the community, Jason to Tiberius, I think he works for Quinyx metal um has, has experimented with like an even more minimal just Api server, so we're really just leveraging the kubernetes ideas of like a reconciliation loop and a controller. We just need something to bootstrap with those C R D s and get something going and then go away again. So I think that's gonna be a pattern that comes up kind of more and more >>Yeah, for sure. Um, and uh, the next, next quick answer to the question, Angel asked what your thoughts on getups being a niche to get or versus others vcs tools? Well, if I knew anyone who is using anything other than get, I would say no, you know, get ops is a horrible name. It should just be CVS office, but that doesn't or vcs ops or whatever like that, but that doesn't roll off the tongue. So someone had to come up with the get ups phrase. Um but absolutely, it's all about version control solutions used for infrastructure, not code. Um might get doctor asks a great question, we're not gonna have time for it, but maybe people can reply and chat with what they think but about infrastructure and code, the lines being blurred and that do develop, how much of infrastructure does developer do developers need to know? Essentially, they're having to know all the things. Um so unfortunately we've had way more questions like every panel here today with all the great community, we've got way more questions we can handle in this time. So we're gonna have to wrap it up and say goodbye. Go to the next live panel. I believe the next one is um on developer, developer specific setups that's gonna be peter running that panel. Something about development in containers and I'm sure it's gonna be great. Just like this one. So let's go around the room where can people find you on the internet? I'm at Brett fisher on twitter. That's where you can usually find me most days you are? >>Yeah, I'm on twitter to um, I'll put it in the chat. It's kind of confusing because the TSR seven. >>Okay. Yeah, that's right. You can't just say it. You can also look at the blow of the video and like our faces are there and if you click on them, it tells you our twitter in Arlington and stuff, john >>John Harris 85, pretty much everywhere. Get hub Twitter slack, etc. >>Yeah >>and normal, normal faults or just, you know, living on Youtube live with Brett. >>Yeah, we're all on the twitter so go check us out there and thank you so much for joining. Uh thank you so much to you all for being here. I really appreciate you taking time in your busy schedule to join me for a little chit chat. Um Yes, all the, all the cheers, yes. >>And I think this kid apps loop has been declarative lee reconciled. >>Yeah, there we go. And with that ladies and gentlemen, uh bid you would do, we will see you in the next, next round coming up next with Peter >>bye.

>>Hello, and welcome to this special presentation. This is the cube on cloud startups, our special event of Amazon web services, startup showcase. I'm John furrier, host of the cube, and excited to be here to talk about the hottest startups around cloud cloud computing data and the future of the enterprise. We've got Rob Harris, vice president of solutions consulting for star dog. Great company, Rob. Great to see you. Thanks for coming on. So this is a showcase presentation with AWS showcase startup showcase. You guys are a fast growing startup knowledge graph. We did a video explaining kind of what we did in the cube conversation. Um, really interesting category this, uh, eight hubs cloud startups with you guys. Talk about what you got. Take a minute to explain star dog and what you got. >>Sure. Yeah, here at startup, we are really a knowledge graph platform company. So we help build a knowledge graph for our customers tying together the data inside the organization and with data on the cloud in order for them to be able to find search and understand the context and relationship of all that data within their own organization. So that's really what we try to facilitate and make successful for our customers. >>Awesome. What market are you guys targeting? What's the market opportunity. Can you explain the market space that you're building product value in and what's your focus? >>Sure. Yeah, it's, it's pretty exciting. We do a lot from an industry perspective, we target a lot, uh, life sciences or financial the services, and it just tends to be, those are the ones that are most excited and getting started with this, but we certainly have a much broader set of customers in government or in manufacturing. What we really look for is the horizontal type solution, where you have a lot of systems that you want to tie together, or you want to have that understanding of your data all within context throughout your organization. So anybody struggling with that kind of tying of your data together, whether it's on the cloud or on prem, that's what we really go after >>Disruption. Who are you disrupting as you come into the marketplace? I love Amazon so hot startups because they got an eye clean take on something, but someone usually is being impacted. Who is, who are you guys disrupting as you come into? >>Yeah, a lot of times we find we're disrupting traditional ETL, right? So centralizing of all your data into one big platform, a lot of people have gone down this path of trying to create these large repositories data lakes, data warehouses. Yeah. We try to provide the additional value on top of them by not forcing you to continue to invest in moving and centralizing all your data together, but connecting it and providing context, um, while leaving and leveraging the mid worries. >>Awesome. Cause there's a big market opportunity as data warehouses becomes modernized and horizontal control planes and cloud computing is data is the key competitive advantage. Uh, great disruption. Great opportunity. So let's talk about the business star dog. What do you guys, uh, talk about the company, uh, where the headquarters is? The, how many employees what's the business model? How do you guys make money? Yeah, >>Well, a headquarters is always a little bit tricky nowadays is we were also distributed, but officially it is in Arlington Virginia. Uh, although we are all over the globe, uh, mostly in the United States and Europe, certainly as we look at, uh, how, how do we go to market and what do we do related to that? We have a subscription-based model where we help our customers get started usually small, um, by leveraging a package that they can run either on prem or in the cloud or directly from the AWS marketplace and letting them connect to the data and then growing out as they grow within their organization, larger, more interplay enterprise wide type of installations. So that's how we kind of go after it, uh, from, from our company perspective. >>So your go to market then for the company, is it bottoms up organic growth, kind of a freemium get in there? Or is it kind of a mid, mid tier or how do you guys look at that, that entry? >>It's a great question. That's exactly right. A lot of times we do start with a freemium type of model. We do have free trials and use usability to get started very quickly without having to talk to a salesperson or without having to pay up front in order to see the value, because we want you to be able to understand the value you're going to get out of our platform right off the bat and get started. Then after you've really tried it out and you see where it could apply within your organization, we help make it enterprise. >>I have to ask you how the business model of SAS, obviously clouds. Great. Are you guys leveraging Amazon web services marketplace at all? >>We are we're on the marketplace today, um, with the, both the free trial, as well as the ability through, you know, private offers to do whole production instances. So we're really excited about being a part of the marketplace. What we found is that sometimes customers want to run on the cloud. Sometimes they want to run on prem, wherever they want to run. We want to be sure that we're there. >>Yeah. Alex, let's pull up that slide on the hybrid, uh, architecture for these guys. So I want to bring this up since you brought up the business model and you talk about hybrid. This is interesting. This gets into the business model and this is kind of transitions into kind of the technology architecture. Could you walk me through this slide, the knowledge graph and the hybrid cloud. Why is this important for you guys and why is it important for customers? >>This is great. Thank you for, uh, for pulling this up. What this is really showing is as we look toward the future, as we really look at how people are deploying knowledge, graphs, and managing their data, we see that one of the big problems they're trying to address is what about cloud, uh, data that's on the cloud would a bit dated it's on prem. Maybe it's in multiple VPCs that you have within the Amazon environment. How do you tie all this together? And we all know that moving data around between all of these zones can be expensive and time consuming and difficult. And so we've come up with an architecture that allows you to run the knowledge, graph an agent of the knowledge graph in each of these zones. And they can all talk to each other and coordinate with each other. So they can see data that exists within that zone and pass it on to the other pieces as required or as needed to minimize your kind of in and out fees. And to leverage that all that data in one, in one place >>I asked you because this comes up a lot in our coverage, um, data mobility, uh, moving data is expensive. Um, how does that impact you guys in customers? A lot of people have been looking at, Hey, you know, the economics of the cloud are phenomenal, but at some point, if you've got a lot of data, you move compute to the data or you kind of think differently, how do you guys look at that? That trend? >>Yeah, that's, that's really our key value prop is people struggle with this. As people try to figure out how do I handle this large amount of data without having to generate all this additional costs about moving it around. We really look about how do I push that compute down to the storage layers, where the data already exists. And so if you think about our product architecture and you know, we, I know we have a slide on how our product is really built and how it's pulled together. When you look at our core core architecture, we have the graph that represents that connected data, but the exciting part of our architecture, what we do differently than everyone else is by allowing you to keep the data in its existing data silos, whether it's applications or repositories documents that you already have out there, we allow you to connect to that data where it is cross zone, whether it's on prem or on the cloud. >>And by leveraging the power of start on the virtualization engine, you can connect that data and be able to represent it from one source without having to move it around. But because we also have a persistence layer that's built into our product, you can really determine where's the best home. Is it data that you're going to use a lot and thereby should be really close to where the query engine is? Or is it something where you want to federate it out and leverage that compute at that storage layer itself? That flexibility is really why our customers come to us and are excited to use, start off. >>That's awesome. Great, great stuff. Love, love. The slides. Love to look at some pictures that describe the architecture both as well as the product. I love how you got the enterprise high-grade applications and then you're integrating with other partners. I think that's a really key, uh, value. And I think if you're not integrating well in this modern era, you probably won't be surviving much longer. It's pretty much a game changer at this point when knows that a question on the technology and product. Now keeping it on this theme. What's your secret sauce. Every company's got a secret sauce. What is star dog's secret sauce? >>Our secret sauce is really how do we coordinate across all of those applications? So if you can imagine you have, you know, Oracle database or Redshift repository, and you're trying to be able to unify that data in real time across those applications. There's a lot of thought and needs to go about how to do that efficiently. You don't want to take all the database from both repositories, move them, all that data into one place and then figure it out. And so our query planner, how do we coordinate across the multiple applications is really what makes us different and special >>On the Symantec modeling that you're doing? Because I see there's a lot of data there. You got to kind of get an understanding context. Um, how do you guys look at reusability metadata on data? This has become a very key point on not just data warehouse, but it's becoming much more about addressability and discoverability in as fast as possible, low latency, uh, with intelligence, this has been a big discussion. How do you guys look at that aspect of the reusability of the data? >>Yeah, it's, it's one of the exciting parts about starting with a semantic graph and then extending into these capabilities around virtualization and reasoning and inference by starting with the semantic graph, we allow you to, you know, incrementally invest in building out your model and then being able to reuse that model as you, as you go through your implementations. Yeah. That's been a, a big failing as people have looked at the analytical movements recently is so many times people spin up a repository, they answer a particular question and they do an absolutely fine job, but then we have your next question. You have to spin up another repository, build more views, re ETL the data. And then the semantic technology is what allows you to create that common understanding and reuse it over and over and over again. And I think it's time for that to hit mainstream. You know, it's been around a while. It's something that has taken some time to get some adoption around, but now that we really have build up awareness around it and we've shelled, the technology can scale the large volumes. Uh, I think it's time to be able to leverage the value that reasonability brings. Yeah. >>One final question on the product and the technology and kind of the architecture is how do you guys connect the dots going forward as more and more edge nodes become available in the network as that architecture of hybrid that we talked earlier about becomes so complex and so connected. I mean, you could have more connectedness than ever before. Um, it's very complex networks graph theory, right? You're talking about a lot of edges and a lot of traversal it's billions and billions of edges. I mean, this is it's complicated. How do you guys create, how do you guys see that unfolding and how and why the star dog remained relevant in that configuration? >>Yeah. And the simple fact is that people need help, right? It can't be that you're going to define all those edges and connections by hand yourself through some systems or keys. It's a great way to get started, but it's not sufficient in order to really get the value out of that graph that you expect. And the ways we do that is twofold. The first bit is really an influencing or reasoning capability. Being able to look at this structure of the data, how it's composed and create connections between that data based on, you know, logical, logical rules. The second is machine learning, right? Machine learning is high. We use things like linear regression algorithms or other types of community detection algorithms in order to build more connections in the data so that you can get really unlock that value that you're looking for. When you're leveraging graph technology, >>A lot of secret sauce here, a lot of technology graph, super exciting. Let's get into the final segment around customer traction and what you guys have seen with customers. Um, what are some of the use cases that are popular and what happens if customers aren't going down this road? What are they missing out on? Um, I mean, it's the classic fear of missing out and fear of getting screwed over right. Are going out of business. I mean, that's, that's motivational at some level, but you know, there are the, do I wait and people who waited on cloud computing by the way were left behind and some never survived. So we're almost in this same dynamic with customers. At some point you got to put the toe in the water, so to speak or get going to take us through some customer examples and use cases where, >>Or this is working. Yeah. I think both of those areas are, are, uh, great ones to hit on. So when you think about what are we missing out on one of our largest customer bases really in pharmaceuticals. Yeah. And they're using this technology in order to find more connections in the data so that they can really decrease the amount of time for getting a drug to market on the research and development. They can look more at leveraging the data they've already connected using related items to be able to accelerate their investments and waiting costs them hundreds of millions, if not billions of dollars. So there are certainly ones where being able to adopt this technology early and get value out of early, really pays off in. And they're not the only ones. That's the only, that's the only the life sciences space. But there's also the idea to use it, as you said, really about what else am I missing out on? >>And the data fabric movement, this movement around, how do I lower the cost in my organization about moving data around creating more ETL jobs, leveraging all these data assets already have that the data fabric movement is the idea of how do we really automate that? How do we accelerate that? How do we make that an easier process so that it just doesn't cost as much to manage all this data in an organization. And I've observed that more and more. We have customers coming to us, really interested in this type of use cases that relates to our technology and they are getting ahead of their competitors by really lowering their, it costs in line to focus on these higher value activities. >>Life of the customers is what for you with, with startup? Why, how do they win? What's the reason why they buy and take the freemium. And when do they convert over? Well, take me through the progression of value. When do they see something and why do they increase their sure. >>Assumption? Yeah. That, I mean, the bottom line is you want to try to get more value out of your data at a lower cost and make it easier and faster to do. And so getting started in a single use case, trying out our free version, representing your data and taking a look at what it could look like under a common model, connecting it up with our virtualization services is a great way to try out the technology and really, you know, put your toe in the water to see is this something that would be a value to organization as you see that value unlock is you really understand that you can leverage these days assets with this lower time to value, you know, days in order to unlock a whole repository and connected to another repository. That's where we love to engage with you and help show you how you can make that successful in a more production environment. >>I like about some of the things you're talking about star dog has kind of that aspirin aspect, but also a growth, um, uh, vitamin E as well, in terms of the value proposition, a lot of companies are overwhelmed with the data, but yet you have this path towards more creation of value through the knowledge graph and reasoning and other other value. When does a customer, and this is kind of comes back to the customers who are out there potentially watching prospects or future customers. When do they know they need to call you guys up? Is it because they have too many sources? Could you take me through what it, what it looks like in a prospect's environment where they would really win with start a what's it look like? What are some of the signs that they need to engage, start out? >>Yeah. The two big things that we've seen repeated in our customer base over and over again, is if you have a large number of systems out there that aren't connected, that you don't see how all the data it can be pulled together between those systems, because the different data formats or different languages or different ways that the data is created in those systems start off, can certainly help. The second is if you have a large data warehouse or a data Lake, and you don't see the value being generated out of that, because people don't understand where the data is or what context it has with other data within those repositories, both of those situations are one where we think you'd get a lot of value out of start off. And we'd love to talk to you. >>So would, so just secondly, understand this. So if you have a lot of systems that either are not connected or connected, whatever, that's great, a lot of sources sitting around, you know, whether it's spreadsheets or Oracle or >>Red shift, whatever it is, we've loved it that's right. >>Ingest as much as possible from sources >>That's right. Ingest or connect. I mean, that's really the value that we bring is you don't have to pull it all in. You can just map and leverage the data where it lives. We have customers that have petabyte repositories that just mapped that data in to start off, and we can really facilitate pulling out the value of those systems without you having to move it around again, to another request, >>Ingest, connect, and visually see value. That's right. It sounds, it sounds like a tagline, um, great stuff. So just give some examples of who's using it. What big names? Um, obviously you guys, aren't hot startup coming out of the Amazon cloud showcase. Uh, congratulations. What are some names that have worked with you guys that can give an indicator of the company that you're keeping right now in terms of, >>Yeah, I mean our largest customer by far right now, our longest customer has been NASA. Um, so they've been a really exciting user of the platform we've been really to see them leverage the platform. Schneider electric has been a long time user, uh, Bayer FINRA in the U S which is a financial services watchdog organization. These are customers that are getting a lot of value out of our platform today, and we're excited to work with them. >>Awesome, Rob, great to see you. Congratulations. Uh, take a minute to just give the plug for the commercial. How do we engage? What's the culture like, um, you guys hiring, what's the, what's the state of that? What's the state of the company. >>Yeah, no, it's a, it's a great thank you for, uh, for bringing that up where, you know, we're an exciting growing company. Um, as we really reach out more and more to connect more people's data, we find that we're always looking at more resources on building out more conductivity between the individual data sources. So more understanding on that front, as well as more, a professional services type folks to help people through the process. We've really been trying to minimize the amount of effort that you have to have in order to get started, but we know that people like a helping hands. So we're always looking for people we're always growing and we're excited to have the chance to, you know, bring this technology out beyond just the semantic group that is historically been here. >>You know, you've got a great job. Vice-president solutions consulting, essentially you're in a product role, but more like a solution architect meets products, uh, customer facing, and also product century. You're kind of the center of all the action. So what's the coolest thing you've seen, um, from a customer standpoint or an architecture or, um, a deployment or an engagement that you've been involved with. That's been kind of like, Oh, wow, that's cool. That's game. That's something new that we've been, we wouldn't have seen a few years ago. Take us through just an example, anecdotal, you don't have to share the company name or you. >>That's a great question. Um, there is a company that is working on self-driving cars and being able to leverage the knowledge graph to pull together all of the videos and material they get from the vehicles themselves, as well as static information about the sensors. Uh, that's been pretty exciting to see. I, I, I just recently purchased the festival myself. So I'm excited about the whole self-driving car world and to be able to help them participate with these companies is, is pretty exciting. Um, we, we just help one of the large drug manufacturers come to market with one of their drugs earlier than expected. You know, that's a, that's a pretty exciting feeling to know that you can really help people, um, by just connecting the data they already have and letting them leverage those resources, uh, that that really is something that we're going to be very calm >>And the bridge to the future that the customers have to cross with you is also pretty compelling. You got industrial IOT and more and more data to take a quick minute to describe what that future looks like. >>Yeah. You know, as we see more and more automation in this process, we see a couple of different really, you know, exploding areas. The first off, you know, you hit the nail on the head is data being able to bring in more edge devices, being able to really process that data on the fly and be able to help answer questions as these changes in data are occur within these sources. Um, that's certainly part of the future. And the other thing that we're really excited about is this more automatic data discovery with an organization. How can we have an agent that goes out and kind of can infer really even what your data is about in the structure of your data without a lot of input for you. And so we've been working a lot with building up these models automatically and letting you have the foundation for integrating your data, um, and just the push of a button. So we're excited about walking, Alexa, our customers in this journey as well. >>It's, it's a fun area. You talk about reasoning. That's one of the key value propositions that you guys have. You talk about AI, you talk about bots and soon it's going to be thinking machines for us. They're going to be doing all the work. >>I hope they're not too soon, but I am excited about that idea as well. I can go. I do think that, uh, you know, if you look at organizations today, it's fascinating how it's not, that the problems are different, but we're trying to automate as much of it as possible so that we can work on that, the real value clumps of our organizations. And it's not that kind of drudgery work. I started as a DBA back in my career, um, just trying to keep the database up and running, you know, nowadays, you know, all these autonomous databases and self indexing, and self-correcting, it's just not a passive lead as much anymore. You know, we hope we can bring that to the data infrastructure automation. >>It's a double-edged sword gun, right. It's amazing, done wrong. It could cause some damage and flipped some, some pain and hurt. And so you got to figure it out, got to have the right data sets, gotta have the right software, um, and a great future. Rob Harris, congratulations for being a cannabis startup showcase here on the cube on cloud startups, uh, with AWS, uh, led partnership. Thank you for coming on and being part of this event. Thank you again. Okay. Rob Harris, vice president solutions consulting at star dog here for the coupon cloud. I'm John furrier. Thanks for watching. >>Yeah.

>>from around the globe. It's the Cube presenting adaptive data governance brought >>to you by >>Iota Ho. In this next segment, we're gonna be talking to you about getting to know your data. And specifically you're gonna hear from two folks at Io Tahoe. We've got enterprise account execs Evita Davis here, as well as Enterprise Data engineer Patrick Simon. They're gonna be sharing insights and tips and tricks for how you can get to know your data and quickly on. We also want to encourage you to engage with Sabina and Patrick. Use the chat feature to the right, send comments, questions or feedback so you can participate. All right, Patrick Sabetta, take it away. All right. >>Thanks, Lisa. Great to be here as Lisa mentioned guys. I'm the enterprise account executive here in Ohio. Tahoe you Pat? >>Yeah. Hey, everyone so great to be here. A said My name's Patrick Samit. I'm the enterprise data engineer here at Iota Ho. And we're so excited to be here and talk about this topic as one thing we're really trying to perpetuate is that data is everyone's business. >>I couldn't agree more, Pat. So, guys, what patent? I patent. I've actually had multiple discussions with clients from different organizations with different roles. So we spoke with both your technical and your non technical audience. So while they were interested in different aspects of our platform, we found that what they had in common was they wanted to make data easy to understand and usable. So that comes back. The pats point off being everybody's business because no matter your role, we're all dependent on data. So what Pan I wanted to do today was wanted toe walk. You guys through some of those client questions, slash pain points that we're hearing from different industries and different roles and demo how our platform here, like Tahoe, is used for automating those, uh, automating Dozier related tasks. So with that said, are you ready for the first one, Pat? >>Yeah, Let's do it. >>Great. So I'm gonna put my technical hat on for this one, So I'm a data practitioner. I just started my job. ABC Bank. I have over 100 different data sources. So I have data kept in Data Lakes, legacy data, sources, even the cloud. So my issue is I don't know what those data sources hold. I don't know what data sensitive, and I don't even understand how that data is connected. So how can I talk to help? >>Yeah, I think that's a very common experience many are facing and definitely something I've encountered in my past. Typically, the first step is to catalog the data and then start mapping the relationships between your various data stores. Now, more often than not, this has tackled through numerous meetings and a combination of Excel and something similar to video, which are too great tools in their own part. But they're very difficult to maintain. Just due to the rate that we are creating data in the modern world. It starts to beg for an idea that can scale with your business needs. And this is where a platform like Io Tahoe becomes so appealing. You can see here visualization of the data relationships created by the I Ho Tahoe service. Now, what is fantastic about this is it's not only laid out in a very human and digestible format in the same action of creating this view, the data catalog was constructed. >>Um, So is the data catalog automatically populated? Correct. Okay, so So what? I'm using iota. Hope at what I'm getting is this complete, unified automated platform without the added cost, of course. >>Exactly. And that's at the heart of Iota Ho. A great feature with that data catalog is that Iota Ho will also profile your data as it creates the catalog, assigning some meaning to those pesky column Underscore ones and custom variable underscore tents that are always such a joy to deal with. Uh, now, by leveraging this interface, we can start to answer the first part of your question and understand where the core relationships within our data exists. Personally, I'm a big fan of this >>view, >>as it really just helps the i b naturally John to these focal points that coincide with these key columns following that train of thought. Let's examine the customer I D column that seems to be at the center of a lot of these relationships. We can see that it's a fairly important column as it's maintaining the relationship between at least three other tables. Now you notice all the connectors are in this blue color. This means that their system defined relationships. But I hope Tahoe goes that extra mile and actually creates thes orange colored connectors as well. These air ones that are machine learning algorithms have predicted to be relationships. Uh, and you can leverage to try and make new and powerful relationships within your data. So I hope that answers the first part of your question. >>Eso So this is really cool. And I can see how this could be leverage quickly. Now. What if I added new data sources or your multiple data sources and needed toe? Identify what data sensitive. Can I Oh, Tahoe, Detect that. >>Yeah, definitely. Within the i o ta platform. There already over 300 pre defined policies such as HIPAA, ferpa, C, c, p, a and the like. One can choose which of these policies to run against their data along for flexibility and efficiency and running the policies that affect organization. >>Okay, so so 300 is an exceptional number. I'll give you that. But what about internal policies that apply to my organization? Is there any ability for me to write custom policies? >>Yeah, that's no issue. And is something that clients leverage fairly often to utilize this function when simply has to write a rejects that our team has helped many deploy. After that, the custom policy is stored for future use to profile sensitive data. One then selects the data sources they're interested in and select the policies that meet your particular needs. The interface will automatically take your data according to the policies of detects, after which you can review the discoveries confirming or rejecting the tagging. All of these insights are easily exported through the interface, so one can work these into the action items within your project management systems. And I think this lends to the collaboration as a team can work through the discovery simultaneously. And as each item is confirmed or rejected, they can see it ni instantaneously. All this translates to a confidence that with iota how you can be sure you're in compliance. >>Um, so I'm glad you mentioned compliance because that's extremely important to my organization. >>So >>what you're saying when I use the eye a Tahoe automated platform, we'd be 90% more compliant that before were other than if you were going to be using a human. >>Yeah, definitely. The collaboration and documentation that the iota ho interface lends itself to can really help you build that confidence that your compliance is sound. >>Does >>that answer your question about sense of data? >>Definitely so. So path. I have the next question for you. So we're planning on migration on guy. Have a set of reports I need to migrate. But what I need to know is that well, what what data sources? Those report those reports are dependent on and what's feeding those tables? >>Yeah, it's a fantastic questions to be toe identifying critical data elements, and the interdependencies within the various databases could be a time consuming but vital process and the migration initiative. Luckily, Iota Ho does have an answer, and again, it's presented in a very visual format. >>So what I'm looking at here is my entire day landscape. >>Yes, exactly. >>So let's say I add another data source. I can still see that Unified 3 60 view. >>Yeah, One feature that is particularly helpful is the ability to add data sources after the data lineage. Discovery has finished along for the flexibility and scope necessary for any data migration project. If you only need need to select a few databases or your entirety, this service will provide the answers. You're looking for this visual representation of the connectivity makes the identification of critical data elements a simple matter. The connections air driven by both system defined flows as well as those predicted by our algorithms, the confidence of which, uh can actually be customized to make sure that they're meeting the needs of the initiative that you have in place. Now, this also provides tabular output in case you need it for your own internal documentation or for your action items, which we can see right here. Uh, in this interface, you can actually also confirm or deny the pair rejection the pair directions along to make sure that the data is as accurate as possible. Does that help with your data lineage needs? >>Definitely. So So, Pat, My next big question here is So now I know a little bit about my data. How do I know I can trust it? So what I'm interested in knowing really is is it in a fit state for Meteo use it? Is it accurate? Does it conform to the right format? >>Yeah, that's a great question. I think that is a pain point felt across the board, be it by data practitioners or data consumers alike. another service that iota hope provides is the ability to write custom data quality rules and understand how well the data pertains to these rules. This dashboard gives a unified view of the strength of these rules, and your dad is overall quality. >>Okay, so Pat s o on on the accuracy scores there. So if my marketing team needs to run, a campaign can read dependent those accuracy scores to know what what tables have quality data to use for our marketing campaign. >>Yeah, this view would allow you to understand your overall accuracy as well as dive into the minutia to see which data elements are of the highest quality. So for that marketing campaign, if you need everything in a strong form, you'll be able to see very quickly with these high level numbers. But if you're only dependent on a few columns to get that information out the door, you can find that within this view, uh, >>so you >>no longer have to rely on reports about reports, but instead just come to this one platform to help drive conversations between stakeholders and data practitioners. I hope that helps answer your questions about that quality. >>Oh, definitely. So I have another one for you here. Path. So I get now the value of IATA who brings by automatically captured all those technical metadata from sources. But how do we match that with the business glossary? >>Yeah, within the same data quality service that we just reviewed. One can actually add business rules detailing the definitions and the business domains that these fall into. What's more is that the data quality rules were just looking at can then be tied into these definitions, allowing insight into the strength of these business rules. It is this service that empowers stakeholders across the business to be involved with the data life cycle and take ownership over the rules that fall within their domain. >>Okay, so those custom rules can I apply that across data sources? >>Yeah. You can bring in as many data sources as you need, so long as you could tie them to that unified definition. >>Okay, great. Thanks so much bad. And we just want to quickly say to everyone working in data, we understand your pain, so please feel free to reach out >>to us. We >>are website the chapel. Oh, Arlington. And let's get a conversation started on how iota Who can help you guys automate all those manual task to help save you time and money. Thank you. Thank >>you. Erin. >>Impact. If I could ask you one quick question, how do you advise customers? You just walk in this great example This banking example that you and city to talk through. How do you advise customers get started? >>Yeah, I think the number one thing that customers could do to get started with our platform is to just run the tag discovery and build up that data catalog. It lends itself very quickly to the other needs you might have, such as thes quality rules as well as identifying those kind of tricky columns that might exist in your data. Those custom variable underscore tens I mentioned before >>last questions to be to anything to add to what Pat just described as a starting place. >>Um, no, I think actually passed something that pretty well, I mean, just just by automating all those manual tasks, I mean, it definitely can save your company a lot of time and money, so we we encourage you just reach out to us. Let's get that conversation started. >>Excellent. Savita and Pat, Thank you so much. We hope you have learned a lot from these folks about how to get to know your data. Make sure that it's quality so that you can maximize the value of it. Thanks for watching.

>>from around the globe. It's the Cube presenting adaptive data governance brought to you by Iota Ho. >>And we're back with the data automation. Siri's. In this episode, we're gonna learn more about what I owe Tahoe is doing in the field of adaptive data governance how it can help achieve business outcomes and mitigate data security risks. I'm Lisa Martin, and I'm joined by a J. Bihar on the CEO of Iot Tahoe and Lester Waters, the CEO of Bio Tahoe. Gentlemen, it's great to have you on the program. >>Thank you. Lisa is good to be back. >>Great. Staley's >>likewise very socially distant. Of course as we are. Listen, we're gonna start with you. What's going on? And I am Tahoe. What's name? Well, >>I've been with Iot Tahoe for a little over the year, and one thing I've learned is every customer needs air just a bit different. So we've been working on our next major release of the I O. Tahoe product. But to really try to address these customer concerns because, you know, we wanna we wanna be flexible enough in order to come in and not just profile the date and not just understand data quality and lineage, but also to address the unique needs of each and every customer that we have. And so that required a platform rewrite of our product so that we could, uh, extend the product without building a new version of the product. We wanted to be able to have plausible modules. We also focused a lot on performance. That's very important with the bulk of data that we deal with that we're able to pass through that data in a single pass and do the analytics that are needed, whether it's, uh, lineage, data quality or just identifying the underlying data. And we're incorporating all that we've learned. We're tuning up our machine learning we're analyzing on MAWR dimensions than we've ever done before. We're able to do data quality without doing a Nen initial rejects for, for example, just out of the box. So I think it's all of these things were coming together to form our next version of our product. We're really excited by it, >>So it's exciting a J from the CEO's level. What's going on? >>Wow, I think just building on that. But let's still just mentioned there. It's were growing pretty quickly with our partners. And today, here with Oracle are excited. Thio explain how that shaping up lots of collaboration already with Oracle in government, in insurance, on in banking and we're excited because we get to have an impact. It's real satisfying to see how we're able. Thio. Help businesses transform, Redefine what's possible with their data on bond. Having I recall there is a partner, uh, to lean in with is definitely helping. >>Excellent. We're gonna dig into that a little bit later. Let's let's go back over to you. Explain adaptive data governance. Help us understand that >>really adaptive data governance is about achieving business outcomes through automation. It's really also about establishing a data driven culture and pushing what's traditionally managed in I t out to the business. And to do that, you've got to you've got Thio. You've got to enable an environment where people can actually access and look at the information about the data, not necessarily access the underlying data because we've got privacy concerns itself. But they need to understand what kind of data they have, what shape it's in what's dependent on it upstream and downstream, and so that they could make their educated decisions on on what they need to do to achieve those business outcomes. >>Ah, >>lot of a lot of frameworks these days are hardwired, so you can set up a set of business rules, and that set of business rules works for a very specific database and a specific schema. But imagine a world where you could just >>say, you >>know, the start date of alone must always be before the end date of alone and having that generic rule, regardless of the underlying database and applying it even when a new database comes online and having those rules applied. That's what adaptive data governance about I like to think of. It is the intersection of three circles, Really. It's the technical metadata coming together with policies and rules and coming together with the business ontology ease that are that are unique to that particular business. And this all of this. Bringing this all together allows you to enable rapid change in your environment. So it's a mouthful, adaptive data governance. But that's what it kind of comes down to. >>So, Angie, help me understand this. Is this book enterprise companies are doing now? Are they not quite there yet. >>Well, you know, Lisa, I think every organization is is going at its pace. But, you know, markets are changing the economy and the speed at which, um, some of the changes in the economy happening is is compelling more businesses to look at being more digital in how they serve their own customers. Eh? So what we're seeing is a number of trends here from heads of data Chief Data Officers, CEO, stepping back from, ah, one size fits all approach because they've tried that before, and it it just hasn't worked. They've spent millions of dollars on I T programs China Dr Value from that data on Bennett. And they've ended up with large teams of manual processing around data to try and hardwire these policies to fit with the context and each line of business and on that hasn't worked. So the trends that we're seeing emerge really relate. Thio, How do I There's a chief data officer as a CEO. Inject more automation into a lot of these common tax. Andi, you know, we've been able toc that impact. I think the news here is you know, if you're trying to create a knowledge graph a data catalog or Ah, business glossary. And you're trying to do that manually will stop you. You don't have to do that manually anymore. I think best example I can give is Lester and I We we like Chinese food and Japanese food on. If you were sitting there with your chopsticks, you wouldn't eat the bowl of rice with the chopsticks, one grain at a time. What you'd want to do is to find a more productive way to to enjoy that meal before it gets cold. Andi, that's similar to how we're able to help the organizations to digest their data is to get through it faster, enjoy the benefits of putting that data to work. >>And if it was me eating that food with you guys, I would be not using chopsticks. I would be using a fork and probably a spoon. So eso Lester, how then does iota who go about doing this and enabling customers to achieve this? >>Let me, uh, let me show you a little story have here. So if you take a look at the challenges the most customers have, they're very similar, but every customers on a different data journey, so but it all starts with what data do I have? What questions or what shape is that data in? Uh, how is it structured? What's dependent on it? Upstream and downstream. Um, what insights can I derive from that data? And how can I answer all of those questions automatically? So if you look at the challenges for these data professionals, you know, they're either on a journey to the cloud. Maybe they're doing a migration oracle. Maybe they're doing some data governance changes on bits about enabling this. So if you look at these challenges and I'm gonna take you through a >>story here, E, >>I want to introduce Amanda. Man does not live like, uh, anyone in any large organization. She's looking around and she just sees stacks of data. I mean, different databases, the one she knows about, the one she doesn't know about what should know about various different kinds of databases. And a man is just tasking with understanding all of this so that they can embark on her data journey program. So So a man who goes through and she's great. I've got some handy tools. I can start looking at these databases and getting an idea of what we've got. Well, as she digs into the databases, she starts to see that not everything is as clear as she might have hoped it would be. You know, property names or column names, or have ambiguous names like Attribute one and attribute to or maybe date one and date to s Oh, man is starting to struggle, even though she's get tools to visualize. And look what look at these databases. She still No, she's got a long road ahead. And with 2000 databases in her large enterprise, yes, it's gonna be a long turkey but Amanda Smart. So she pulls out her trusty spreadsheet to track all of her findings on what she doesn't know about. She raises a ticket or maybe tries to track down the owner to find what the data means. And she's tracking all this information. Clearly, this doesn't scale that well for Amanda, you know? So maybe organization will get 10 Amanda's to sort of divide and conquer that work. But even that doesn't work that well because they're still ambiguities in the data with Iota ho. What we do is we actually profile the underlying data. By looking at the underlying data, we can quickly see that attribute. One looks very much like a U. S. Social Security number and attribute to looks like a I c D 10 medical code. And we do this by using anthologies and dictionaries and algorithms to help identify the underlying data and then tag it. Key Thio Doing, uh, this automation is really being able to normalize things across different databases, so that where there's differences in column names, I know that in fact, they contain contain the same data. And by going through this exercise with a Tahoe, not only can we identify the data, but we also could gain insights about the data. So, for example, we can see that 97% of that time that column named Attribute one that's got us Social Security numbers has something that looks like a Social Security number. But 3% of the time, it doesn't quite look right. Maybe there's a dash missing. Maybe there's a digit dropped. Or maybe there's even characters embedded in it. So there may be that may be indicative of a data quality issues, so we try to find those kind of things going a step further. We also try to identify data quality relationships. So, for example, we have two columns, one date, one date to through Ah, observation. We can see that date 1 99% of the time is less than date, too. 1% of the time. It's not probably indicative of a data quality issue, but going a step further, we can also build a business rule that says Day one is less than date to. And so then when it pops up again, we can quickly identify and re mediate that problem. So these are the kinds of things that we could do with with iota going even a step further. You could take your your favorite data science solution production ISAT and incorporated into our next version a zey what we call a worker process to do your own bespoke analytics. >>We spoke analytics. Excellent, Lester. Thank you. So a J talk us through some examples of where you're putting this to use. And also what is some of the feedback from >>some customers? But I think it helped do this Bring it to life a little bit. Lisa is just to talk through a case study way. Pull something together. I know it's available for download, but in ah, well known telecommunications media company, they had a lot of the issues that lasted. You spoke about lots of teams of Amanda's, um, super bright data practitioners, um, on baby looking to to get more productivity out of their day on, deliver a good result for their own customers for cell phone subscribers, Um, on broadband users. So you know that some of the examples that we can see here is how we went about auto generating a lot of that understanding off that data within hours. So Amanda had her data catalog populated automatically. A business class three built up on it. Really? Then start to see. Okay, where do I want Thio? Apply some policies to the data to to set in place some controls where they want to adapt, how different lines of business, maybe tax versus customer operations have different access or permissions to that data on What we've been able to do there is, is to build up that picture to see how does data move across the entire organization across the state. Andi on monitor that overtime for improvement, so have taken it from being a reactive. Let's do something Thio. Fix something. Thio, Now more proactive. We can see what's happening with our data. Who's using it? Who's accessing it, how it's being used, how it's being combined. Um, on from there. Taking a proactive approach is a real smart use of of the talents in in that telco organization Onda folks that worked there with data. >>Okay, Jason, dig into that a little bit deeper. And one of the things I was thinking when you were talking through some of those outcomes that you're helping customers achieve is our ally. How do customers measure are? Why? What are they seeing with iota host >>solution? Yeah, right now that the big ticket item is time to value on. And I think in data, a lot of the upfront investment cause quite expensive. They have been today with a lot of the larger vendors and technologies. So what a CEO and economic bio really needs to be certain of is how quickly can I get that are away. I think we've got something we can show. Just pull up a before and after, and it really comes down to hours, days and weeks. Um, where we've been able Thio have that impact on in this playbook that we pulled together before and after picture really shows. You know, those savings that committed a bit through providing data into some actionable form within hours and days to to drive agility, but at the same time being out and forced the controls to protect the use of that data who has access to it. So these are the number one thing I'd have to say. It's time on. We can see that on the the graphic that we've just pulled up here. >>We talk about achieving adaptive data governance. Lester, you guys talk about automation. You talk about machine learning. How are you seeing those technologies being a facilitator of organizations adopting adaptive data governance? Well, >>Azaz, we see Mitt Emmanuel day. The days of manual effort are so I think you know this >>is a >>multi step process. But the very first step is understanding what you have in normalizing that across your data estate. So you couple this with the ontology, that air unique to your business. There is no algorithms, and you basically go across and you identify and tag tag that data that allows for the next steps toe happen. So now I can write business rules not in terms of columns named columns, but I could write him in terms of the tags being able to automate. That is a huge time saver and the fact that we can suggest that as a rule, rather than waiting for a person to come along and say, Oh, wow. Okay, I need this rule. I need this will thes air steps that increased that are, I should say, decrease that time to value that A. J talked about and then, lastly, a couple of machine learning because even with even with great automation and being able to profile all of your data and getting a good understanding, that brings you to a certain point. But there's still ambiguities in the data. So, for example, I might have to columns date one and date to. I may have even observed the date. One should be less than day two, but I don't really know what date one and date to our other than a date. So this is where it comes in, and I might ask the user said, >>Can >>you help me identify what date? One and date You are in this in this table. Turns out they're a start date and an end date for alone That gets remembered, cycled into the machine learning. So if I start to see this pattern of date one day to elsewhere, I'm going to say, Is it start dating and date? And these Bringing all these things together with this all this automation is really what's key to enabling this This'll data governance. Yeah, >>great. Thanks. Lester and a j wanna wrap things up with something that you mentioned in the beginning about what you guys were doing with Oracle. Take us out by telling us what you're doing there. How are you guys working together? >>Yeah, I think those of us who worked in i t for many years we've We've learned Thio trust articles technology that they're shifting now to ah, hybrid on Prohm Cloud Generation to platform, which is exciting. Andi on their existing customers and new customers moving to article on a journey. So? So Oracle came to us and said, you know, we can see how quickly you're able to help us change mindsets Ondas mindsets are locked in a way of thinking around operating models of I t. That there may be no agile and what siloed on day wanting to break free of that and adopt a more agile A p I at driven approach. A lot of the work that we're doing with our recall no is around, uh, accelerating what customers conduce with understanding their data and to build digital APS by identifying the the underlying data that has value. Onda at the time were able to do that in in in hours, days and weeks. Rather many months. Is opening up the eyes to Chief Data Officers CEO to say, Well, maybe we can do this whole digital transformation this year. Maybe we can bring that forward and and transform who we are as a company on that's driving innovation, which we're excited about it. I know Oracle, a keen Thio to drive through and >>helping businesses transformed digitally is so incredibly important in this time as we look Thio things changing in 2021 a. J. Lester thank you so much for joining me on this segment explaining adaptive data governance, how organizations can use it benefit from it and achieve our Oi. Thanks so much, guys. >>Thank you. Thanks again, Lisa. >>In a moment, we'll look a adaptive data governance in banking. This is the Cube, your global leader in high tech coverage. >>Innovation, impact influence. Welcome to the Cube. Disruptors. Developers and practitioners learn from the voices of leaders who share their personal insights from the hottest digital events around the globe. Enjoy the best this community has to offer on the Cube, your global leader in high tech digital coverage. >>Our next segment here is an interesting panel you're gonna hear from three gentlemen about adaptive data. Governments want to talk a lot about that. Please welcome Yusuf Khan, the global director of data services for Iot Tahoe. We also have Santiago Castor, the chief data officer at the First Bank of Nigeria, and good John Vander Wal, Oracle's senior manager of digital transformation and industries. Gentlemen, it's great to have you joining us in this in this panel. Great >>to be >>tried for me. >>Alright, Santiago, we're going to start with you. Can you talk to the audience a little bit about the first Bank of Nigeria and its scale? This is beyond Nigeria. Talk to us about that. >>Yes, eso First Bank of Nigeria was created 125 years ago. One of the oldest ignored the old in Africa because of the history he grew everywhere in the region on beyond the region. I am calling based in London, where it's kind of the headquarters and it really promotes trade, finance, institutional banking, corporate banking, private banking around the world in particular, in relationship to Africa. We are also in Asia in in the Middle East. >>So, Sanjay, go talk to me about what adaptive data governance means to you. And how does it help the first Bank of Nigeria to be able to innovate faster with the data that you have? >>Yes, I like that concept off adaptive data governor, because it's kind of Ah, I would say an approach that can really happen today with the new technologies before it was much more difficult to implement. So just to give you a little bit of context, I I used to work in consulting for 16, 17 years before joining the president of Nigeria, and I saw many organizations trying to apply different type of approaches in the governance on by the beginning early days was really kind of a year. A Chicago A. A top down approach where data governance was seeing as implement a set of rules, policies and procedures. But really, from the top down on is important. It's important to have the battle off your sea level of your of your director. Whatever I saw, just the way it fails, you really need to have a complimentary approach. You can say bottom are actually as a CEO are really trying to decentralize the governor's. Really, Instead of imposing a framework that some people in the business don't understand or don't care about it, it really needs to come from them. So what I'm trying to say is that data basically support business objectives on what you need to do is every business area needs information on the detector decisions toe actually be able to be more efficient or create value etcetera. Now, depending on the business questions they have to solve, they will need certain data set. So they need actually to be ableto have data quality for their own. For us now, when they understand that they become the stores naturally on their own data sets. And that is where my bottom line is meeting my top down. You can guide them from the top, but they need themselves to be also empower and be actually, in a way flexible to adapt the different questions that they have in orderto be able to respond to the business needs. Now I cannot impose at the finish for everyone. I need them to adapt and to bring their answers toe their own business questions. That is adaptive data governor and all That is possible because we have. And I was saying at the very beginning just to finalize the point, we have new technologies that allow you to do this method data classifications, uh, in a very sophisticated way that you can actually create analitico of your metadata. You can understand your different data sources in order to be able to create those classifications like nationalities, a way of classifying your customers, your products, etcetera. >>So one of the things that you just said Santa kind of struck me to enable the users to be adaptive. They probably don't want to be logging in support ticket. So how do you support that sort of self service to meet the demand of the users so that they can be adaptive. >>More and more business users wants autonomy, and they want to basically be ableto grab the data and answer their own question. Now when you have, that is great, because then you have demand of businesses asking for data. They're asking for the insight. Eso How do you actually support that? I would say there is a changing culture that is happening more and more. I would say even the current pandemic has helped a lot into that because you have had, in a way, off course, technology is one of the biggest winners without technology. We couldn't have been working remotely without these technologies where people can actually looking from their homes and still have a market data marketplaces where they self serve their their information. But even beyond that data is a big winner. Data because the pandemic has shown us that crisis happened, that we cannot predict everything and that we are actually facing a new kind of situation out of our comfort zone, where we need to explore that we need to adapt and we need to be flexible. How do we do that with data. Every single company either saw the revenue going down or the revenue going very up For those companies that are very digital already. Now it changed the reality, so they needed to adapt. But for that they needed information. In order to think on innovate, try toe, create responses So that type of, uh, self service off data Haider for data in order to be able to understand what's happening when the prospect is changing is something that is becoming more, uh, the topic today because off the condemning because of the new abilities, the technologies that allow that and then you then are allowed to basically help your data. Citizens that call them in the organization people that no other business and can actually start playing and an answer their own questions. Eso so these technologies that gives more accessibility to the data that is some cataloging so they can understand where to go or what to find lineage and relationships. All this is is basically the new type of platforms and tools that allow you to create what are called a data marketplace. I think these new tools are really strong because they are now allowing for people that are not technology or I t people to be able to play with data because it comes in the digital world There. Used to a given example without your who You have a very interesting search functionality. Where if you want to find your data you want to sell, Sir, you go there in that search and you actually go on book for your data. Everybody knows how to search in Google, everybody's searching Internet. So this is part of the data culture, the digital culture. They know how to use those schools. Now, similarly, that data marketplace is, uh, in you can, for example, see which data sources they're mostly used >>and enabling that speed that we're all demanding today during these unprecedented times. Goodwin, I wanted to go to you as we talk about in the spirit of evolution, technology is changing. Talk to us a little bit about Oracle Digital. What are you guys doing there? >>Yeah, Thank you. Um, well, Oracle Digital is a business unit that Oracle EMEA on. We focus on emerging countries as well as low and enterprises in the mid market, in more developed countries and four years ago. This started with the idea to engage digital with our customers. Fear Central helps across EMEA. That means engaging with video, having conference calls, having a wall, a green wall where we stand in front and engage with our customers. No one at that time could have foreseen how this is the situation today, and this helps us to engage with our customers in the way we were already doing and then about my team. The focus of my team is to have early stage conversations with our with our customers on digital transformation and innovation. And we also have a team off industry experts who engaged with our customers and share expertise across EMEA, and we inspire our customers. The outcome of these conversations for Oracle is a deep understanding of our customer needs, which is very important so we can help the customer and for the customer means that we will help them with our technology and our resource is to achieve their goals. >>It's all about outcomes, right? Good Ron. So in terms of automation, what are some of the things Oracle's doing there to help your clients leverage automation to improve agility? So that they can innovate faster, which in these interesting times it's demanded. >>Yeah, thank you. Well, traditionally, Oracle is known for their databases, which have bean innovated year over year. So here's the first lunch on the latest innovation is the autonomous database and autonomous data warehouse. For our customers, this means a reduction in operational costs by 90% with a multi medal converts, database and machine learning based automation for full life cycle management. Our databases self driving. This means we automate database provisioning, tuning and scaling. The database is self securing. This means ultimate data protection and security, and it's self repairing the automates failure, detection fail over and repair. And then the question is for our customers, What does it mean? It means they can focus on their on their business instead off maintaining their infrastructure and their operations. >>That's absolutely critical use if I want to go over to you now. Some of the things that we've talked about, just the massive progression and technology, the evolution of that. But we know that whether we're talking about beta management or digital transformation, a one size fits all approach doesn't work to address the challenges that the business has, um that the i t folks have, as you're looking through the industry with what Santiago told us about first Bank of Nigeria. What are some of the changes that you're seeing that I owe Tahoe seeing throughout the industry? >>Uh, well, Lisa, I think the first way I'd characterize it is to say, the traditional kind of top down approach to data where you have almost a data Policeman who tells you what you can and can't do, just doesn't work anymore. It's too slow. It's too resource intensive. Uh, data management data, governments, digital transformation itself. It has to be collaborative on. There has to be in a personalization to data users. Um, in the environment we find ourselves in. Now, it has to be about enabling self service as well. Um, a one size fits all model when it comes to those things around. Data doesn't work. As Santiago was saying, it needs to be adapted toe how the data is used. Andi, who is using it on in order to do this cos enterprises organizations really need to know their data. They need to understand what data they hold, where it is on what the sensitivity of it is they can then any more agile way apply appropriate controls on access so that people themselves are and groups within businesses are our job and could innovate. Otherwise, everything grinds to a halt, and you risk falling behind your competitors. >>Yeah, that one size fits all term just doesn't apply when you're talking about adaptive and agility. So we heard from Santiago about some of the impact that they're making with First Bank of Nigeria. Used to talk to us about some of the business outcomes that you're seeing other customers make leveraging automation that they could not do >>before it's it's automatically being able to classify terabytes, terabytes of data or even petabytes of data across different sources to find duplicates, which you can then re mediate on. Deletes now, with the capabilities that iota offers on the Oracle offers, you can do things not just where the five times or 10 times improvement, but it actually enables you to do projects for Stop that otherwise would fail or you would just not be able to dio I mean, uh, classifying multi terrible and multi petabytes states across different sources, formats very large volumes of data in many scenarios. You just can't do that manually. I mean, we've worked with government departments on the issues there is expect are the result of fragmented data. There's a lot of different sources. There's lot of different formats and without these newer technologies to address it with automation on machine learning, the project isn't durable. But now it is on that that could lead to a revolution in some of these businesses organizations >>to enable that revolution that there's got to be the right cultural mindset. And one of the when Santiago was talking about folks really kind of adapted that. The thing I always call that getting comfortably uncomfortable. But that's hard for organizations to. The technology is here to enable that. But well, you're talking with customers use. How do you help them build the trust in the confidence that the new technologies and a new approaches can deliver what they need? How do you help drive the kind of a tech in the culture? >>It's really good question is because it can be quite scary. I think the first thing we'd start with is to say, Look, the technology is here with businesses like I Tahoe. Unlike Oracle, it's already arrived. What you need to be comfortable doing is experimenting being agile around it, Andi trying new ways of doing things. Uh, if you don't wanna get less behind that Santiago on the team that fbn are a great example off embracing it, testing it on a small scale on, then scaling up a Toyota, we offer what we call a data health check, which can actually be done very quickly in a matter of a few weeks. So we'll work with a customer. Picky use case, install the application, uh, analyzed data. Drive out Cem Cem quick winds. So we worked in the last few weeks of a large entity energy supplier, and in about 20 days, we were able to give them an accurate understanding of their critical data. Elements apply. Helping apply data protection policies. Minimize copies of the data on work out what data they needed to delete to reduce their infrastructure. Spend eso. It's about experimenting on that small scale, being agile on, then scaling up in a kind of very modern way. >>Great advice. Uh, Santiago, I'd like to go back to Is we kind of look at again that that topic of culture and the need to get that mindset there to facilitate these rapid changes, I want to understand kind of last question for you about how you're doing that from a digital transformation perspective. We know everything is accelerating in 2020. So how are you building resilience into your data architecture and also driving that cultural change that can help everyone in this shift to remote working and a lot of the the digital challenges and changes that we're all going through? >>The new technologies allowed us to discover the dating anyway. Toe flawed and see very quickly Information toe. Have new models off over in the data on giving autonomy to our different data units. Now, from that autonomy, they can then compose an innovator own ways. So for me now, we're talking about resilience because in a way, autonomy and flexibility in a organization in a data structure with platform gives you resilience. The organizations and the business units that I have experienced in the pandemic are working well. Are those that actually because they're not physically present during more in the office, you need to give them their autonomy and let them actually engaged on their own side that do their own job and trust them in a way on as you give them, that they start innovating and they start having a really interesting ideas. So autonomy and flexibility. I think this is a key component off the new infrastructure. But even the new reality that on then it show us that, yes, we used to be very kind off structure, policies, procedures as very important. But now we learn flexibility and adaptability of the same side. Now, when you have that a key, other components of resiliency speed, because people want, you know, to access the data and access it fast and on the site fast, especially changes are changing so quickly nowadays that you need to be ableto do you know, interact. Reiterate with your information to answer your questions. Pretty, um, so technology that allows you toe be flexible iterating on in a very fast job way continue will allow you toe actually be resilient in that way, because you are flexible, you adapt your job and you continue answering questions as they come without having everything, setting a structure that is too hard. We also are a partner off Oracle and Oracle. Embodies is great. They have embedded within the transactional system many algorithms that are allowing us to calculate as the transactions happened. What happened there is that when our customers engaged with algorithms and again without your powers, well, the machine learning that is there for for speeding the automation of how you find your data allows you to create a new alliance with the machine. The machine is their toe, actually, in a way to your best friend to actually have more volume of data calculated faster. In a way, it's cover more variety. I mean, we couldn't hope without being connected to this algorithm on >>that engagement is absolutely critical. Santiago. Thank you for sharing that. I do wanna rap really quickly. Good On one last question for you, Santiago talked about Oracle. You've talked about a little bit. As we look at digital resilience, talk to us a little bit in the last minute about the evolution of Oracle. What you guys were doing there to help your customers get the resilience that they have toe have to be not just survive but thrive. >>Yeah. Oracle has a cloud offering for infrastructure, database, platform service and a complete solutions offered a South on Daz. As Santiago also mentioned, We are using AI across our entire portfolio and by this will help our customers to focus on their business innovation and capitalize on data by enabling new business models. Um, and Oracle has a global conference with our cloud regions. It's massively investing and innovating and expanding their clouds. And by offering clouds as public cloud in our data centers and also as private cloud with clouded customer, we can meet every sovereignty and security requirements. And in this way we help people to see data in new ways. We discover insights and unlock endless possibilities. And and maybe 11 of my takeaways is if I If I speak with customers, I always tell them you better start collecting your data. Now we enable this partners like Iota help us as well. If you collect your data now, you are ready for tomorrow. You can never collect your data backwards, So that is my take away for today. >>You can't collect your data backwards. Excellently, John. Gentlemen, thank you for sharing all of your insights. Very informative conversation in a moment, we'll address the question. Do you know your data? >>Are you interested in test driving the iota Ho platform kick Start the benefits of data automation for your business through the Iota Ho Data Health check program. Ah, flexible, scalable sandbox environment on the cloud of your choice with set up service and support provided by Iota ho. Look time with a data engineer to learn more and see Io Tahoe in action from around the globe. It's the Cube presenting adaptive data governance brought to you by Iota Ho. >>In this next segment, we're gonna be talking to you about getting to know your data. And specifically you're gonna hear from two folks at Io Tahoe. We've got enterprise account execs to be to Davis here, as well as Enterprise Data engineer Patrick Simon. They're gonna be sharing insights and tips and tricks for how you could get to know your data and quickly on. We also want to encourage you to engage with the media and Patrick, use the chat feature to the right, send comments, questions or feedback so you can participate. All right, Patrick Savita, take it away. Alright. >>Thankfully saw great to be here as Lisa mentioned guys, I'm the enterprise account executive here in Ohio. Tahoe you Pat? >>Yeah. Hey, everyone so great to be here. I said my name is Patrick Samit. I'm the enterprise data engineer here in Ohio Tahoe. And we're so excited to be here and talk about this topic as one thing we're really trying to perpetuate is that data is everyone's business. >>So, guys, what patent I got? I've actually had multiple discussions with clients from different organizations with different roles. So we spoke with both your technical and your non technical audience. So while they were interested in different aspects of our platform, we found that what they had in common was they wanted to make data easy to understand and usable. So that comes back. The pats point off to being everybody's business because no matter your role, we're all dependent on data. So what Pan I wanted to do today was wanted to walk you guys through some of those client questions, slash pain points that we're hearing from different industries and different rules and demo how our platform here, like Tahoe, is used for automating Dozier related tasks. So with that said are you ready for the first one, Pat? >>Yeah, Let's do it. >>Great. So I'm gonna put my technical hat on for this one. So I'm a data practitioner. I just started my job. ABC Bank. I have, like, over 100 different data sources. So I have data kept in Data Lakes, legacy data, sources, even the cloud. So my issue is I don't know what those data sources hold. I don't know what data sensitive, and I don't even understand how that data is connected. So how can I saw who help? >>Yeah, I think that's a very common experience many are facing and definitely something I've encountered in my past. Typically, the first step is to catalog the data and then start mapping the relationships between your various data stores. Now, more often than not, this has tackled through numerous meetings and a combination of excel and something similar to video which are too great tools in their own part. But they're very difficult to maintain. Just due to the rate that we are creating data in the modern world. It starts to beg for an idea that can scale with your business needs. And this is where a platform like Io Tahoe becomes so appealing, you can see here visualization of the data relationships created by the I. O. Tahoe service. Now, what is fantastic about this is it's not only laid out in a very human and digestible format in the same action of creating this view, the data catalog was constructed. >>Um so is the data catalog automatically populated? Correct. Okay, so So what I'm using Iota hope at what I'm getting is this complete, unified automated platform without the added cost? Of course. >>Exactly. And that's at the heart of Iota Ho. A great feature with that data catalog is that Iota Ho will also profile your data as it creates the catalog, assigning some meaning to those pesky column underscore ones and custom variable underscore tents. They're always such a joy to deal with. Now, by leveraging this interface, we can start to answer the first part of your question and understand where the core relationships within our data exists. Uh, personally, I'm a big fan of this view, as it really just helps the i b naturally John to these focal points that coincide with these key columns following that train of thought, Let's examine the customer I D column that seems to be at the center of a lot of these relationships. We can see that it's a fairly important column as it's maintaining the relationship between at least three other tables. >>Now you >>notice all the connectors are in this blue color. This means that their system defined relationships. But I hope Tahoe goes that extra mile and actually creates thes orange colored connectors as well. These air ones that are machine learning algorithms have predicted to be relationships on. You can leverage to try and make new and powerful relationships within your data. >>Eso So this is really cool, and I can see how this could be leverage quickly now. What if I added new data sources or your multiple data sources and need toe identify what data sensitive can iota who detect that? >>Yeah, definitely. Within the hotel platform. There, already over 300 pre defined policies such as hip for C, C, P. A and the like one can choose which of these policies to run against their data along for flexibility and efficiency and running the policies that affect organization. >>Okay, so so 300 is an exceptional number. I'll give you that. But what about internal policies that apply to my organization? Is there any ability for me to write custom policies? >>Yeah, that's no issue. And it's something that clients leverage fairly often to utilize this function when simply has to write a rejects that our team has helped many deploy. After that, the custom policy is stored for future use to profile sensitive data. One then selects the data sources they're interested in and select the policies that meet your particular needs. The interface will automatically take your data according to the policies of detects, after which you can review the discoveries confirming or rejecting the tagging. All of these insights are easily exported through the interface. Someone can work these into the action items within your project management systems, and I think this lends to the collaboration as a team can work through the discovery simultaneously, and as each item is confirmed or rejected, they can see it ni instantaneously. All this translates to a confidence that with iota hope, you can be sure you're in compliance. >>So I'm glad you mentioned compliance because that's extremely important to my organization. So what you're saying when I use the eye a Tahoe automated platform, we'd be 90% more compliant that before were other than if you were going to be using a human. >>Yeah, definitely the collaboration and documentation that the Iot Tahoe interface lends itself to really help you build that confidence that your compliance is sound. >>So we're planning a migration. Andi, I have a set of reports I need to migrate. But what I need to know is, uh well, what what data sources? Those report those reports are dependent on. And what's feeding those tables? >>Yeah, it's a fantastic questions to be toe identifying critical data elements, and the interdependencies within the various databases could be a time consuming but vital process and the migration initiative. Luckily, Iota Ho does have an answer, and again, it's presented in a very visual format. >>Eso So what I'm looking at here is my entire day landscape. >>Yes, exactly. >>Let's say I add another data source. I can still see that unified 3 60 view. >>Yeah, One future that is particularly helpful is the ability to add data sources after the data lineage. Discovery has finished alone for the flexibility and scope necessary for any data migration project. If you only need need to select a few databases or your entirety, this service will provide the answers. You're looking for things. Visual representation of the connectivity makes the identification of critical data elements a simple matter. The connections air driven by both system defined flows as well as those predicted by our algorithms, the confidence of which, uh, can actually be customized to make sure that they're meeting the needs of the initiative that you have in place. This also provides tabular output in case you needed for your own internal documentation or for your action items, which we can see right here. Uh, in this interface, you can actually also confirm or deny the pair rejection the pair directions, allowing to make sure that the data is as accurate as possible. Does that help with your data lineage needs? >>Definitely. So So, Pat, My next big question here is So now I know a little bit about my data. How do I know I can trust >>it? So >>what I'm interested in knowing, really is is it in a fit state for me to use it? Is it accurate? Does it conform to the right format? >>Yeah, that's a great question. And I think that is a pain point felt across the board, be it by data practitioners or data consumers alike. Another service that I owe Tahoe provides is the ability to write custom data quality rules and understand how well the data pertains to these rules. This dashboard gives a unified view of the strength of these rules, and your dad is overall quality. >>Okay, so Pat s o on on the accuracy scores there. So if my marketing team needs to run, a campaign can read dependent those accuracy scores to know what what tables have quality data to use for our marketing campaign. >>Yeah, this view would allow you to understand your overall accuracy as well as dive into the minutia to see which data elements are of the highest quality. So for that marketing campaign, if you need everything in a strong form, you'll be able to see very quickly with these high level numbers. But if you're only dependent on a few columns to get that information out the door, you can find that within this view, eso >>you >>no longer have to rely on reports about reports, but instead just come to this one platform to help drive conversations between stakeholders and data practitioners. >>So I get now the value of IATA who brings by automatically capturing all those technical metadata from sources. But how do we match that with the business glossary? >>Yeah, within the same data quality service that we just reviewed, one can actually add business rules detailing the definitions and the business domains that these fall into. What's more is that the data quality rules were just looking at can then be tied into these definitions. Allowing insight into the strength of these business rules is this service that empowers stakeholders across the business to be involved with the data life cycle and take ownership over the rules that fall within their domain. >>Okay, >>so those custom rules can I apply that across data sources? >>Yeah, you could bring in as many data sources as you need, so long as you could tie them to that unified definition. >>Okay, great. Thanks so much bad. And we just want to quickly say to everyone working in data, we understand your pain, so please feel free to reach out to us. we are Website the chapel. Oh, Arlington. And let's get a conversation started on how iota Who can help you guys automate all those manual task to help save you time and money. Thank you. Thank >>you. Your Honor, >>if I could ask you one quick question, how do you advise customers? You just walk in this great example this banking example that you instantly to talk through. How do you advise customers get started? >>Yeah, I think the number one thing that customers could do to get started with our platform is to just run the tag discovery and build up that data catalog. It lends itself very quickly to the other needs you might have, such as thes quality rules. A swell is identifying those kind of tricky columns that might exist in your data. Those custom variable underscore tens I mentioned before >>last questions to be to anything to add to what Pat just described as a starting place. >>I'm no, I think actually passed something that pretty well, I mean, just just by automating all those manual task. I mean, it definitely can save your company a lot of time and money, so we we encourage you just reach out to us. Let's get that conversation >>started. Excellent. So, Pete and Pat, thank you so much. We hope you have learned a lot from these folks about how to get to know your data. Make sure that it's quality, something you can maximize the value of it. Thanks >>for watching. Thanks again, Lisa, for that very insightful and useful deep dive into the world of adaptive data governance with Iota Ho Oracle First Bank of Nigeria This is Dave a lot You won't wanna mess Iota, whose fifth episode in the data automation Siri's in that we'll talk to experts from Red Hat and Happiest Minds about their best practices for managing data across hybrid cloud Inter Cloud multi Cloud I T environment So market calendar for Wednesday, January 27th That's Episode five. You're watching the Cube Global Leader digital event technique

>> Voice Over: Live from Washington, D.C. It's the Cube! Covering AWS Public Sector Summit. Brought to you by Amazon Web Services. >> Hello everyone welcome back to the Cube's live coverage of AWS Public Sector Summit here in Washington DC. I'm your host Rebecca Knight, along with my co-host John Furrier. We're joined by Kim Majerus. She is the leader, state and local government at AWS. Thanks so much for coming on the show. >> Thank you for having me, I'm excited my first time so. >> John: Welcome to the Cube. >> Welcome! >> I'm excited! >> Rebecca: Your first rodeo. I'm sure you'll be a natural. >> Thank you. >> Let's start by telling our viewers a little bit about what you do, and how heading up the state and local is different from the folks who work more with the federal government. >> Sure. So I've been with Amazon a little over a couple of years and having responsibility for state and local government has really opened up my eyes to the transformation that that space is moving to. So when I think about our opportunity, it's not just state and local government, but it's actually the gov tax that are supporting that transformation in traditional environments. Everyone asks that questions, what's the difference between a federal versus a state and local? And I attribute it to this way, programs are very important in a federal space but what I'm focused on is every single city, county, state has aspirations to do things the way they want to do things, of how they need to address their specialized market. What people need in New York City might feel and look a little bit different in a small town in my home state. So when you look at the differences it's exciting to have the opportunity to impact there. >> And one of the things that you inherited in the job is state and local governments also, and we've heard this on the Cube from many guests that have been on, they didn't have the big IT budgets. >> No. >> And so, things to move the needle on R&D and experiment, you know Andy Jassy talks about experimentation and learning through failure, a lot of them don't have the luxury. And this changing landscapes, different diversity environments. >> Yeah absolutely. It's doing more with less, and each state struggles with that. And when you take a look at the budget and where state budget goes, it's predominantly in the health provider instances. So they have the responsibility to serve their constituents and their health, so what's left? You're competing with budgets for teachers, firefighters, first responders of all sorts, so they have to be very frugal with what they do and they have to learn from one another. I think that is one of the nicest things that we see across the states and the cities. >> Tell me about the community aspect of it because one of the things we're seeing on the trend side is the wave that's coming, besides all the normal investments they've got to make, is internet of things and digitization. Whether it's cameras on utility poles, to how to deal with policies just like self-driving cars and Uber. All these things are going on, right? >> Yep. >> Massive change going on, and it's first generation problems. >> Absolutely. >> Net New right? So where's the money going to come from? Where's the solutions going to come from? >> Save to invest right? So they're taking a look at Net New technologies that allows them to actually re-invest those savings into what the community's asking for. People don't want to stand in lines to get their driver's license or a permit. We just had a customer meeting, they were talking about how the challenge between the connected community. If you're in a city, in a county, who do you go and talk to? I need a building permit, do I go to the city, do I go to the county? But I don't want to go. I want to be able to do it in a different way. That's the generational change and we're seeing that, even local to the D.C. area, when you take a look at Arlington county, they have the highest population of millennials. How they want to interact with government is so different than what they've seen in times past. >> So talk to me about what, so what what are the kinds of innovations that Arlington needs to be thinking about according to you, in terms of how to meet these citizens where they are and what they're accustomed to? >> Expectations, I mean take a look at, we walk outside the street you see birds sitting around there and you've got to be able to give them transportation that is accustomed to what they do every single day. They want to buy, they want to communicate and more importantly they want to their services when they look for it. They don't want to have to go to the buildings, they want to have to, they want to be able to actually access the information, find exactly where they need to go to grab that specific service. I mean long is the day that you would stand there are say, well I don't know which office to go to, send me. People want to look and everything's got to be available and accessible. >> I mean this is classic definition of what Andy Jassy and Theresa talk about. Removing all that undifferentiated heavy-lifting. >> Yep, barriers. >> All this red tape, and the lack of budget. All these things kind of create this environment. What are you guys doing to address that? How do you get people over the hump to saying, okay, it's okay to start this journey, here's some successes, is it get a couple wins under your belt first? What's the process? Take us through it and use (mumbles). >> I think this has been probably one of the most refreshing parts for me to be a part of AWS. It's really starting with, what problem are you trying to solve for? What is the biggest issue that you have? And we work backwards from their needs. And it's a very different approach than how others have worked with our customers, our state and local customers, because we're used to selling them this thing for this opportunity, whereas we take three steps backwards and say let's start from the beginning. What issues are you having? What're your constituents having? Was with a group of CIOs on Monday and we went through this whole process of, who are your customers? And they would've thought, well it's an agency here and it's an agency there, and what they soon realized is, those are my stakeholders, those are not my customers. So if we really look at it more of a product versus a project with the state and local executives, it's really changing their perspective on how they could actually have a full cycle of opportunity, not a project-based solution. So when you think about how a constituent wants to work through the government, or access it's services, it will look and feel differently if you're thinking about the full life-cycle of it, not the activity. >> You know one thing I want to ask you that came up in a couple conversations earlier, and then what the key note was. The old days was if you worked for the government, it was slow, why keep the effort if you can't achieve the objective? I'm going to give up, people get indifferent, they abandon their initiatives. Now Andy and you guys are talking about the idea that you can get to the value proposition earlier. >> Yes. >> So, even though you can work backwards, which I appreciate, love the working backwards concept, but even more reality for the customer in public and local and state is like, they now see visibility into light at the end of the tunnel. So there's changing the game on what's gettable, what's attainable, which is aspirational. >> It might feel aspirational for those who have not embraced the art of what's possible, and I think one of the things that we've seen recently in another state. They had a workforce that liked to do what they did, as Andy said, "Touch the tin." And when you think about that whole concept, you never touch the tin. So now let's take a look at your workforce, how do we make being in government the way to, as Andy close it, to make the biggest impact for your local community. So some states are saying, what we've done is we still need the resources we have, but the resources that are moving up the stack and providing more of an engagement of difference, those are the ones that are taking those two pizza team type of opportunities and saying what are we going to do to change the way they interact? >> With real impact. >> With real impact. >> Andy also talked about real problems that could be solved, and he didn't really kind of say federal or any kind of category, he just kind of laid it out there generally. And this is what people care about, that work for state, local and federal. They actually want to solve problems so there are a lot of problems out there. What are you seeing at the state and local level that are on the top problem statements that you're seeing where Cloud is going to help them? >> A great example would be, when you think about all the siloed organizations within our community care. You're unable to track any one record, and a record could be an individual or an organization. So what they're doing is they're moving all those disparate data silos into an opportunity say let's dedupe-- how many constituents do we have? What type of services do they need? How do we become proactive? So when you take a look at someone who's moved into the community and their health record comes in, what're the services that they need? Because right now they have to go find those services and if they county were to do things more proactively, say hey, these are the services that you need, here is where you can actually go and get them. And it's those individual personalized engagements that, once you pull all that data together through all the different organizations, from the beginning of a 911 call for whatever reason, through their health record to say, this is the care that they, these are the cares that they have, and these are the services that they need, and oh by the way they might be allergic to something or they might have missed a doctor's appointment, let's go ensure that they are getting the healthcare. There's one state that's actually even thinking about their senior care. Why don't we go put an Alexa in their house to remind them that these are the medications that you need? You have a doctor's appointment at 2 o'clock, do you want me to order a ride for you to get to your doctor's appointment on time? That is proactive. >> And also the isolation for a lot of old people living by themselves, having another voice who can answer their question is actually incredibly meaningful. >> It is, and whether it's individual care to even some are up and rising drivers. A great application in Utah is they've actually used Alexa and wrote skills around Alexa so that they could pre-test at home before they go take their test are the driver's license facility. So when you think about these young kids coming into the government, how interactive and how exciting for them to say, hey, I'm going to take the time, I have my Alexa, she's going to ask me all the questions that I need to literally the other end of the spectrum to say, hey, I can order you an Uber, I could provide you with a reminder of your doctor's appointments or any health checks requirements that you might need along the way. >> So you're talking about the young people today engaging with government in this way, but what about actually entering the government as a career? Because right now we know that there's just such a poisonous atmosphere in Washington, extreme partisanship and it doesn't seem like a very, the government doesn't seem appealing to a lot of people. And when they are thinking about, even the people who are in Cloud, not necessarily in the public policy, what're you hearing, what're you thinking? What's AWS's position on this? >> This is where I love my brother and in the education space. So in two different areas we have California, Cal State Poly, and then we also have Arizona State University who have put in kicks. They're innovation centers are the university that they're enlisting these college students or maybe project based that are coming in and helping solve for some of the state and local government challenges. I think the important part is, if you could grab those individuals in early through that journey in maybe through their later years of education say, hey, you could write apps, you could help them innovate differently because it's through their lens. That gets them excited and I think it's important for everyone to understand the opportunity and whether it's two years, four years or a lifetime career, you've got to see it from the other side and I think, what we hear from the CIOs today across the states is they want to pull that talent in and they want to show them the opportunity, but more importantly they want to see the impact and hear from them what they need differently. So it's fun. >> There's a whole community vibe going on. >> Yeah. >> And we were riffing on day one on our intro about a new generation of skill, not just private and public sector, both. We have a collective intelligence and this is where open-data, openness, comes in, and that's resource. And I think a lot of people are looking at it differently and I think this is what gets my attention here at this event this year, besides the growth and size, is that Cloud is attracting smart people, it's attracting people who look at solutions that are possibly attainable, and for the first time you're seeing kind of progress. >> It's a blank sheet of paper. >> There's been progress before I don't mean to say there's no progress, there's new kinds of progress. >> I think the best part, and I say this to people who are working with Amazon, when you think about a blank sheet of paper, that's where we're at. And I think that's the legacy that we need to get through, it's like this is the way we've done it, this is the way we've always done it. In state and local government we're dealing with procurement challenges, they know how to do CATPACs, they don't know how to OPECs, so how can you help us change the way they look at assets, and more importantly, break through those barriers so that we could start with a blank sheet of paper and build from the ground-up what's needed, versus just keep on building on what was out there. >> So that mean education's paramount for you. So what're you guys doing with education? Share some notable things that are important that are going on that are on education initiatives that you can help people. >> It's starting at the 101. Again I think it's the partnership with the education, what we have in the community college, and even starting in high school, is get people interested in Cloud. But for state and local customers today, it is about workforce redevelopment and giving them the basic tools so that they could rebuild. And there are going to be people that are going to opt-in, and there's going to be people that say, I'm fine where I'm at thank you very much, and there's a place and, more importantly, there's plenty of opportunity for them there. So we're providing them with AWS Educate, we're providing them with our support locally through my team, but the important part is you get in, show them, put their hands on the keyboards and let them go 'cause once they start they're like, I didn't realize I could do that, I didn't understand the value and the opportunity and the cost savings that I could move through with these applications. >> And there's so many jobs out there, I mean Amazon is just one company that's in Cloud. There's Machine Learning, there's AI, there's all kinds of analytics. All kinds of new job opportunities that there's openings for, it's not like. No one's skilled enough! We need more people. >> I'll give you another. There was a great case study in there, they actually did a session here this week, LA County. They get 800-900 calls a day just within an IT, one of the IT organizations and Benny would say, my customer is those who are working in the county. So they've been able to move to CANACT, and now they have a sentiment scale, they are able to not only intake, transcribe, comprehend, but they're able to see the trends that they're saying. What that's been able to save by ways of time and assets and resources it's really allowing them to focus on what's the next generation service that they could deliver differently, and more importantly, cost-effectively. >> Where in the US, 'cause Andy talked about the middle class shrinking with the whole reference to the mills going out of the business, inferring that digital's coming. Where do you see the trends in the US, outside of the major metros like Silicon Valley, New York, et cetera, Austin, where there's growth in digital mind IQ? Are you seeing, obviously we joke with the Minnesota guys, it's O'Shannon on and we had Troy on earlier, both from Minnesota. But is there areas that you're seeing that's kind of flowering up in terms of, ripe for investment for in-migration, or people staying within their states. Because out-migration has been a big problem with these states in the middle of the country. They want to keep people in the state, have in-migration. What're you areas of success been for digital? >> You know what, look at Kansas City. Great use case, smart connected city, IOT. If you take a look at what their aspirations were, it was to rejuvenate that downtown area. It's all started with a street car and the question was, when people got off that street car did they go right or did they go left? And they weren't going left and the question was why? Well when they looked and they surveyed, well there's nothing there, the coffee shops there. So what they did proactively, because this is about providing affordable opportunity for businesses, but more importantly, students and younger that are moving out of home, they put a coffee shop there. Then they put a convenience store, then they put a sandwich shop down there and they started to build this environment that allowed more people to move in and be in that community. It's not about running to the big city, it's about staying maybe where you're at but in a new way. So Kansas City I think has done a fantastic job. >> And then having jobs to work remotely 'cause you're seeing now remote, virtual-first companies are being born and this is kind of a new generational thing where it's not Cloud first. >> Work is where you're at, it's not where you go. >> And yet we do need >> That's an opportunity. >> Clusters of smart people and these sort of centers of innovation beyond just the coasts. >> I'm out of Chicago. I obviously have headquarters in D.C. for public sector and corporate out of Seattle. I think there is a time and place that is required to be there when we're working on those projects or we require that deep time. But I want to be available to my team, and more importantly to my customers, and when I see my customers, my customers are not all in city buildings or county buildings or state buildings. They're all over. So it's actually refreshing to see the state government and local governments actually promote some of that. It's like well hey I'm not going to the office today, let's go meet in this location so that we could figure out how to get through these challenges. It has to be that way because people want to be a part of their community in a different way, and it doesn't necessarily mean being in an office. >> Exactly. >> Okay Kim, well to check in with you and to find out your progress on the state and local, certainly it's real opportunity for jobs and revitalization crossed with digital. >> Yep, as Andy would put it, when we look at this space, it's a labor of love and it's the biggest impact that I could make in my career. >> And tech for good. >> And tech for good. >> Excellent, well thank you so much Kim. >> Thank you. Goodbye. >> Stay tuned for my of the Cube's live coverage of AWS Public Sector Summit. (outro music)

>> From Washington D.C.. It CUBE conversations with John Furrier. >> Welcome to this special exclusive CUBE conversation I'm joined for a year. The heart of the Amazon Web Services headquarters in Arlington Virginia the heart of Washington D.C.. I'm here with Teresa Carlson who is the chief of the Amazon Web Services Public Sector team. >> Great to see you again welcome to Washington D.C. John. >> A lot of action, having the CUBE on the ground all day yesterday. We've got interviews all day this afternoon, really getting the top stories and the big story is the the cloud computing impact to government. You've been leading the team in the public sector worldwide for Amazon Web Services really had great success since the CIA deal four years ago, which was a watershed moment to this gestation period of Amazon filtrating into all the different systems of the government, and worldwide. Congratulations. >> Thank you. It's been a great seven and a half years. It's gone by so fast. I still feel like every day is day one. >> One of the things that I'm the most impressed with you, and I want to get your take on it is: you've been very passionate about the mission of the public sector from nonprofits, education, inclusion and diversity, Women in Tech-- a variety of things-- as almost a higher level mission. But Amazon has been a real enabler for the change as well. So what is your official role now at Amazon. It's now Global has been. How has it changed over the past few years. >> Well in the early days, even though when I started here anyhow I always agreed it was worldwide that what ended up happening was the fact that it went from really just focused focusing on the U.S. to actually focusing on worldwide because if we didn't really win business here in the U.S. it was going to be hard to win business worldwide. >> You were the most powerful women in Washington D.C. as voted recently one of the magazine's. You've been doing great work here in D.C., but also globally. But one of the things that you're doing I want to explore with you is you're changing the game not just with technology and government, but in society entrepreneurship that you're enabling. You've kind of cracked the code on this formula with the work with Amazon where there's now the silos are being broken down and the blurring lines between the different sectors are all cross pollinating we're seeing that with entrepreneurship, nonprofits, education; what's going on there what's your view on this? >> Well when you're really going to drive change globally and when you're doing such a transformational change and shift with technology you can't just look at it as a shift of technology. It's got to be a shift to the sectors of what's happening. And also you can't just educate one group you have to go in and educate the society and have real societal change. Everything from ensuring that the community colleges have the right kind of programs for computer science that K through 12 that they have access, because if you miss one group you're going to miss a whole generation of something. >> The realities are there's millions of jobs worldwide that are needed for cloud computing and a variety of roles including new ones for AI and machine learning which we almost have no know individuals that are as qualified as we want them. So to drive real change you have to start at the policy level and ensure policy makers and regulators around the world are aware of what they need to put in place, so that these tools and technologies are enabled that they're promoting and budgeting for things like educational programs and they're very focused on not just old-tech companies but actual new-tech companies that are driving forward to start apps entrepreneurs and social engineers I'll call them. And that's really where we are trying to drive toward social change or societal change starting at the policy in going all the way down to education on diversity issues around the world. >> One of the things that you guys have done here in Washington has been as successful as you've done the hard work you put the time in. You paid your dues. Did the the brute force work you need to do with security and cloud. Now it's up and running is successful. Now you have a elevated responsibility with the cloud to enable wealth creation value creation change in society. So you're steward of a change agent at the same time you have to create value across those sectors. What does that responsibility mean to you and how are you leaving the team to continue to up the bar on the innovation in that area? >> Well it does mean a lot to me and it is super important because if you again get one element wrong it's almost like you misstep something. So we are we are like my entire team is really gritty, like we every day. We're sort of challenging each other. Do we have it right? The whole concept of the ability to dive and really understand your customers and what they need to do. That example of that would be is we really have sort of a model we developed as a team for going in and creating digital innovation or digital footprints for countries. So if you think about this if you walk into a country and they have zero idea how to become a digital nation you have to through her influence and your experience really educate them on what are the elements and again that goes through everything through. How did they set up policies. How do they have acquisition vehicles. How are their regulators working everything through the financial regulators telecommunication providers through the educational systems of how you operate within. Not only that but the entrepreneurs. How do they actually set up a group teach and train them. Sometimes in societies that really have not had zero training in entrepreneurship. You know you think about the United States I could call you up and say hey I have a question about something I'm doing in media. Can you like give me some suggestions. You would help me if you go to countries like that. They don't have the same network. We even have here. So really establishing helping them establish what is their blueprint. >> And I will tell you it's working. And the reason I think it's worth working is because we go in very humbly, we begin to we're very patient, we have a long term view and what we're doing and we really demonstrate for them and not just demonstrate that help them ensure that they're getting there and that's the customer obsession side of us. >> And the old way the old competitive landscape used to be a price on our product performance is the best. Therefore you should buy it right and make as much money as possible and provide some customer support and some maintenance. Okay. Now you guys have hit the form. That's just one element of a successful formula. Mission driven but also ecosystem and community. >> That's right. >> Talk about the dynamic between those three things having the mission the right price performance and also community and how is that formula work for you guys and how do you make that successful. > Yeah well so here's the really interesting fact: when we decide to go in and build in the region we can. The realities are we could go anywhere in the world and build region but will that region be successful. And there's many elements to that being a success. And one of the things as an example is price. So in order to have a region that is priced in in a manner that individuals can buy for cloud computing you've got to ensure that the elements that you need to build that region are in place. So you've got to think about things like utilities, power, water, land, networking, telecommunications, and then education, are the people there that can actually respond and take the jobs that are required. So you have to look at each and every element and go in and really make those changes. And an example that I'll share is telecommunication providers around the world were the most advanced in the world in the United States in telecommunications. But if you go to other parts of the world there's a there's a monopoly or duopoly and their prices are generally outrageous. And for a company like ours of course we're a big networking company and if you go in and if a customer pays a hundred percent more than they would pay in a region that was right next door they're probably not going to want to use that cloud. So when I say that we're going in and driving real change we really feel like it's our obligation to go in and ensure that we put all the pieces and parts in place with that country and those officials to ensure that they understand. And then that added element if we're going to do that to telecommunications provider that may be part of their revenues for government or it's all they know then we need to teach them how they set up new business models because there are fantastic business models for telecommunication providers with cloud computing managed service offerings they can do a lot more mobility, gaming there's so much stuff that many of them have been so used to an old business model. We really have to help them transform in order for that entire community and region to be successful. >> Would it be safe to say that you guys are enabling value creation and that you guys are allowing others to take advantage of that it's not just your profit you're enabling them to profit and or how they see that it could be for social good but also could be for making more money? You can't lose by helping people make more money or to achieve their objective. >> We love that. Will that any if you think about Amazon Web Services, our you know where we started was with startups and entrepreneurs the ones that led us first were the developers and engineers right. They came in and they start using AWS and then those developers and engineers turned into small companies and start ups and large companies and so we really have a soft spot for entrepreneurs and startups. So you know we talk about all the time in all parts of our business that we really need to be focused on those young entrepreneurs that are creating value in wealth. And if you do that you really see you want to change it even if you can back to the United States, you're starting to see in small communities. I'm from Kentucky we have agri-entrepreneurs. We have individuals that are looking at new farming techniques. They're taking health care startups in Kentucky. I mean it's great because you don't need to be in Silicon Valley anymore to have a startup and do really great work. >> You're a disruptive enabler you're changing your force of nature. You're one of the most powerful people in Washington. You're from a small town where this make you feel. I mean sometimes you pinch yourself. >> I'm very humbled. I'm super humbled. I know my parents were both teachers my dad was a high school basketball coach love coaching I'm a huge Kentucky basketball fan but you know humble I feel blessed every day that I get to do this role and that I've been able to work for such an amazing company who believes in this because you know Andy Jassy and myself always said, from day one the first day I met him, I was like wow he is gonna be such a champion of this because we talked about paving the way for disruptive innovation and making the world a better place and in order to do that there's multiple aspects of those things. And again the technology is that is that bridge builder. It really helps take the divided and pull it together but it's got to be all these other elements that really make it work completely. >> With this power you have in, and you're too humble to say that, but that that's true comes great responsibility. How are you using this opportunity to go to the next level at a higher level not just help them as other achieve their business objectives within D.C. you do involve them some things. What's your mission on that level. You go to a higher level. What is that and what are you doing with this opportunity that you have. >> Well it's really about helping drive social entrepreneurship. And then I would say the second one is diversity and ensuring that we are really getting more women in tech and a more diverse work environment for tech. And I'll just start on the social entrepreneurship side. It really interacts nicely with all of our goals. The thing that's really change about social entrepreneurship in the early days people thought of that just as a not for profit come of it. People were like that's not so cool. Well today social entrepreneurship is cool. Many young men and women if you talk to them they want to be involved in something they want like many but they want to be involved in something that's really doing good things. And we've sort of again been able to bridge how we're doing things that eight of us through social entrepreneurship. So an example we talked about Bahrain a little bit we have a scale in Bahrain where we take these groups in that we have also one here in Washington D.C. at the U.S. Institute of Peace for Peace tech which we're looking at technologies that helped push down correction and improve peace around the world. And then we have Halcyon House which we support and Halcyon is just as beautiful Georgetown has such a lovely place that Dr Satsha Kuno started where, we support but it's all social entrepreneurs that live there for five and residency and their health. Thirty seven the most amazing are in Washington become social entrepreneurs and they have technology enablement legal enable a venture capital access and that's good. >> And then the last one that we've done is called Cal Polytech we're with the president there President Armstrong he's another gentleman from Kentucky. We started there he left what we were doing and he said I want to go all in on that. Yes. And I want to start in innovations in hardware right here on campus where we can bring our talented students. We can also merge with community and Sabriel government issues. So they're they're doing areas of justice and public safety. They're looking at health care issues. They're looking at their looking and also child exploitation issues and they're bringing all those things together to try to solve real problems. And we're helping. So it's really How about the women in tech. You're involved in. So you are women tech leader again most powerful women DC powerful people in DC. >> Well women in tech is such an important issue because again we're a fairly significant part of the population and pretty underrepresented in tech. And one of the things that we've done we started a program at AWS yes called we power tech where it's really about diversity and overall but we go out into communities we work with the schools. We have coding days on campuses. We have started in clubs. We have empowerment days where we teach women how to you, how do you interview. How do you understand the roles in tech. We do serve early. What is Cloud and how do you get involved with cloud and you would talk about other jobs. You know I've had this conversation before about tech is great in the coding part but also there's so many other jobs in tech like and to finance its operations its sales you know PR marketing and your you have to be pretty talented in tech to do any of that. It's not again I'll say for the faint heart. So we are making progress but we still have a long way to go and take a superfund. >> What's your secret of success. >> I think I learned very early on how to operate in a very diverse world. My dad was a basketball coach during my time growing and I had a lot of young men basketball players our home. We were always kicking and I had to stand toe to toe with them all the time in every aspect. I could not you know I just really I was like you know I'm going to win this argument. So the court and >> >> I don't want delays for sure but I really once I guess once I set my mind to something I really believe in it. There's passion in me. I just keep going. I don't know. That is not the right answer. How do we get there blockers are just something that can be removed in my mind and I think Amazon is the kind of culture that you know obviously the way the whole company has been created and how it's driven nothing has gotten in the way. You just sort of learn from those things and if you if you say every day we may not have gotten to where we want to be today but we learned from that from the failure that we had today in that experience and you take that in each day you sort of evolve until OK. Now we learn from that suggest and I and the other thing I tell my team because we're said to Yang Campany you don't really know what you know so don't get tied to the ways that you're doing things because we need to adjust very quickly. So I so I try to promote a an environment where we don't we've made progress. We don't know the right answer every day and we need to constantly be looking at do we get that right and how do we adjust so you know getting that agility in your business has a lot of the hiring that we do today. There's so many that we bring in that are from sort of an old school mindset because these companies did not grow as fast as we're grown and we are in a hyper growth mode. And when you're in a hyper growth mode you have to constantly look for leaders that can scale. And so that's the other sort of thing. >> So the place that can you hang with it. I've seen people you know where they sort of hit a wall and they come back but you really have to constantly say you know this is strapon. You're probably not going to have the same experience ever again. >> Here's some oxygen for some people that are not really oriented so culturally you feel that you're a good fit for Amazon given your personality. That's a key and >> I love it. I mean I love it because of the pace I love it because it change we're driving and the other thing after years of working in tech it's so fun to see your customers be successful. I mean I can't that high seeing customers actually drive results in young entrepreneurs be able to create a company. I had a young girl in Brazil I was in Brazil at the embassy and we had a we had a actually a women's panel and she Saanich like 23 years old and we got to talking and she said I just she said I created my first gaming video at 16 and sold it at 18 percent millions and she was like in her third company. She said all built on a yes. And that is like so cool. >> Like those stories you're just like wow and wouldn't be possible if you went through the old gatekeeper's other ways. >> Well I mean you know I was part of all that. I mean you spent so much of your many on just building out the tech the servers and you know in the early days entrepreneurs. >> So in each of their early capital on that. And now I think that's why you know private equity and venture pathless we are involved with them so much because they see the value that cloud computing can have in their portfolio as trying to value their image. And then the entrepreneurs you'll see seven they'll have to have Mini's going at once you know what it's like it's a good thing because that cost of creating a business is a lot less they can focus on their real talent not just buying servers and stacking them. >> Final question for you talk about the impact that you've had with either the U.S. public sector here in town your event that you started the public sector summit early days conference room in a hotel ballroom or hotel where she was at the major convergence center. It's looks like reinvent. So you had an impact. And this year probably going to be bigger. That is an indicator that something is going right there. >> Well I'm very proud of my team for helping us build this thing out that it was early days. I do think we I say up until this thing we had maybe 50 50 people. And I think last year we had about eight or nine thousand and growing and it is likely that we'll reinvent we have in over a two day period will be June 20th and 21st this year. Please can we have you back. We will be there. But we're doing something a little bit unique this year we're going to have a Space Day on the 19th. And what you know obviously eight of us Amazon we really like space has a leg like you know the cars. Yeah like SpaceX blew out like a comfortable space safe space in the clouds and way beyond that. >> And this is a really interesting area because you know space I remember as a young girl you know sing sing you know the first whole videos of walking on the moon and it makes you feel so good. You know that science and technology emerging that there's a lot of that that needs to be updated and modernized now. And we work with a lot of partners now you know like Lockheed Martin and Raytheon groups that are building tools Blue Origin Space X Nassa Air Force has been a huge robotic surgery of robotics and software involved in machine learning. I mean you think about ground stations and if you think about ground and satellite stations a lot of that is very outdated technology and that's where cloud computing and the new tools that you know that we are driving in our age on machine learning space are really going to help as well as that storage and compete and do more things at the edge with that. So so that's going to be a really fun day and we're going to have folks from all of them helping the public and the public. So it's like a precursor day to our two hour meeting and then all our public sector many re reinvent. So we're we're really excited about that. And it's something new we're going to try this year and see what kind of momentum that we want to add that we have a lot of requests with. Let's just do it. >> What's your goals. Next couple of months. See you at Public Sector Summit your event in June. Q I'll be there. What's what's on your radar. I'll have. >> A big agenda for global traveling. I'm going to be in Australia Singapore Argentina. I've got a couple of trips to Canada. I'm going to be doing very shortly here in London. I'm going to be doing a girls and tech conference and I have went out to San Francisco for the keynoting that so I have a big agenda this year of travel so get myself all geared up for my year on the road. But it's going to be fun. We have a lot of great things going on this year worldwide public sector. >> Congratulations on your success. Thanks for spending that time. Thank you Don. It's good conversation here in Washington D.C. We're in Arlington Virginia. Amazon Web Services headquarters here in Washington. Thanks for watching.

>> Announcer: Live from Washington DC, it's CUBE Conversations with John Furrier. >> Well, welcome to a special CUBE conversation here at Amazon Web Services headquarters in public sector, in Washington DC, actually, in Arlington, Virginia. It's a CUBE coverage on the ground in Washington DC. Our next guest is Shannon Kellogg, who's the Director of AWS Public Policy in Americas, here, joining us. Thanks for spending the time with us. >> It's a pleasure to be here. >> So obviously, public policy is a big part of public sector, hence the success you guys have had. Amazon's had great success. I mean, you go back four years ago, the shock heard all around the cloud was the CIA deal. >> Shannon: Indeed. >> And since then, there's been this gestation period of innovation. You guys have been penetrating, doing a lot of hard work. I know how hard it is. And kind of knowing the DC culture, how hard was it, and hard is it for you guys now? Is it getting easier? I mean, policies, got a lot of education involved, a lot of moving parts. >> Yeah, well, I joined over five years ago. And when I joined, there was very little understanding that Amazon was even in the cloud computing business. And so we really had to start from scratch. And so it was just basic education and awareness work. And I wouldn't call that easy, but it certainly was in a different time where people were curious about Amazon, AWS, and cloud. What is cloud computing? The cloud computing directive of the Federal Government, Cloud First Policy, had just come out a year prior, and so there was a lot of curiosity. So people were willing to talk. People were curious, but they didn't really understand what cloud computing was. And again, they didn't even realize AWS was in that business. >> And back at that time, and I know you have a tech history over at EMC before and RSA. You know the tech game. You've seen many waves of >> Shannon: I have. >> innovation, and it's almost a time where you saw some interesting shadow IT developing. Shadow IT term referred to kind of a in-the-shadows experiment. You put your credit card down and get some Amazon, get some cloud, and test, kick the tires, if you will, kind of, without anyone seeing you, called shadow IT. That became a big part of the growth. How much shadow IT has been involved to kind of force Amazon to the table? Did that help? Was that a help-driver for you guys? Was it going on? >> Yeah. Well, it's interesting, because when you look back four or five years ago, there were a lot of first movers in departments and agencies, folks in little units that I had actually even never heard of in some of the big agencies, customers that I would speak to that were experimenting with AWS and commercial cloud. In those days, they were able to take out their credit card and experiment a little bit with it and discover what was possible. And we saw a lot of uptake in interest as a result of some of that experimentation. But really, things started to change in a big way when AWS won the contract to build the community cloud for the intelligence community. And following that win, and as that project was implemented, and in the six months to a year after that award, we saw a lot more interest by agencies to not just experiment, but to go bigger. >> I couldn't get Amazon to confirm. I've tried many times on the CUBE, Jassy and Teresa, to get them to confirm that that was certainly a shadow IT effort, that someone within the CIA came out of the woodwork and said, "Hold on IBM, we have an alternative." >> Yeah, well I can't-- >> (laughing) Conferment denied. I can't comment on that either, but I can tell you that it was a very open, competitive process that we won. And it was a very big deal for the community and a very big deal for us. And that's when we really started to see a number of other agencies and organizations, really, not just experiment with cloud, but how can we leverage this to get the same benefits that the intel community needs? >> And IBM didn't help either. They got cocky. They figured they're going to sue you guys and ended up amplifying it, where the judge actually said on the ruling, "Amazon is a better service." >> Shannon: Yeah. >> I mean, you couldn't get a better testimony. But let's talk about that move. >> There was a resounding public, or resounding legal opinion, and I would encourage your viewers who haven't read it to read it. >> It's well doc, but at SiliconANGLE. Search SiliconANGLE, AWS, IBM, CIA deal, you'll find it. But I think what's notable about that is it's kind of cocky, because the old way of doing things was schmooze, win the ivory tower, have that relationship, lean on that relationship. And the IT just, they were just like going through security at the airport, just whatever, right? >> Shannon: Right. They just checked the boxes. You got to win the C level. That now has changed, where not only at the buying and evaluation process bottoms up, there's a lot of consensus involved. There's now new stakeholders. >> You bet. >> Talk about that new dynamic, because this is a modern trend. It's not just send it to the department for a check box, it's truly agile. Talk about this new, modern procurement process that people are going through. >> You bet, and it's still evolving. But over the last few years, we've seen a lot of interest by federal organizations to shift from what is traditionally a capital expense model to an operational expense model. And you'll probably laugh at me that I actually even remember this. But in the 2015 budget, with the previous administration, President Obama's budget request in 2015, there was, actually, on page 41 of that budget, a line, or actually a paragraph, that talked about how the Federal Government would need to continue to move to commercial cloud services. And in the language, in the budget, it actually talked about the consumption model, the operational expense model versus the traditional capex model. >> Shannon, what is commercial cloud, because, I mean, again, back to the old days, kind of back in my days when I was growing with the industry, you had a federal division that managed all the government stuff, sometimes separate products, right, I mean, absolutely different, unique features >> Yeah, you bet. >> in the government. Now with the cloud, I'm I hearing that this is the same cloud that Amazon runs? Is it a different product. I know there's different private clouds. >> Certainly, our cloud >> But what is the commercial cloud? >> is one option. >> Explain what the commercial cloud is. >> Yeah, our cloud is one option in this area of commercial cloud services. And we think it's a great option. But if you look at the different types of solutions, NIST actually talked about this when they put out the definition on what cloud computing should be described as several years ago. I think the final definition came out in 2011. And at the time, they called public cloud, which we in federal agencies, now, really refer to as commercial cloud, as one of the deployment models. But it also is really emphasizing commercial solutions and commerciality, versus having an agency go out and try to build its own cloud, or to issue a special contract that is controlled by that agency, that does a traditional private-cloud type of build, like for example, California did with CalCloud several years ago. We're seeing more and more agencies move away from that model and into procuring-- >> Why is that? Why are they moving, costly? >> Well, because, yeah, it's-- >> Just like HP and everyone else backed out of the cloud, same reason? >> It's costly, and one thing, looking at CalCloud, and if you haven't sort of looked at what they did with their policy, in 2014 they issued a policy, California did, which basically created a preference for CalCloud. And by August of 2017, they moved away from that preference reversing the policy and then doing sort of a about-face and saying not only is there not a preference for CalCloud, this privately built cloud, anymore in California, but there's going to be a preference for commercial cloud services and leveraging commercial solutions and technologies. >> Is that, again, the same reasons why a lot of commercial vendors like HP, even VMware, and others who kind of backed out of the cloud. It's expensive, it's complicated, right? I mean, is that main driver, or is it of talent? I mean, why did CalCloud move from that to the (mumbles). >> Yeah, I mean, I obviously can't speak for what other >> Well generally speaking. >> companies have done, but I think, based on our observations at the federal level, at the state level, and even internationally, we're seeing more and more governments in their cloud policies focus on how to leverage commercial cloud services, versus build their own, or go out and spend a billion dollars in trying to build their own through a contractor or traditional contractor. >> I talked to Teresa Carlson. >> And by the way, just for the record, in California, it was IBM who actually ended up building CalCloud. >> Nice dig on IBM there, good one. >> So I just talked to Teresa Carlson, and she and I, we talked about the notion of commercializing ecosystem, to bring in tech in with government kind of the mash up or integration culturally among other things, technology. I had an interview with an executive of New Relic, one of Amazon's top customers. I think they were saying they were getting FedRAMP certified. But there's a variety of certifications that you guys offer, essentially, people in the ecosystem, non-governmental, but they can come in and provide solutions. Can you talk about that dynamic, because we're seeing that become a trend now, where folks in the Amazon, or in general tech ecosystems, that says, "Hey, you know what? "I can go in through Amazon and do some business "with the public sector." >> Sure. >> What do you guys offer? Is there a playbook? Is there a roadmap? Is there check boxes? What's the playbook? >> Well, first of all, if you don't, if your viewers don't know what FedRAMP is, it's a Federal Government security evaluation process for cloud computing providers and service providers who want to sell to the US Federal Government. And the framework itself was created on international security standards as well as existing, and evolving in some cases, NIST security standards. And so it's a common security framework that any company of any size can align to. And AWS, because we believe so strongly in security, and because we had a lot of first-mover customers in the Federal Government marketplace, we really invested in that process early. And as a result of that, we meet the FedRAMP requirements at the different security levels that exist. And we were one of the first providers to actually do that. And then partners started working with us and leveraging that. And not just-- >> So what does that mean to the partner? >> resellers or systems integrators. >> They piggyback on your certification, or they have to do some modifications? It's like the stamp of approval. You can't get into the party without it, right? >> Yeah, you have to have FedRAMP certification in order to provide certain types of services to the US government. A lot of agencies now require some type of FedRAMP certification to do business with them. It's very common now. >> Any other certifications that they need? >> Well, that's the most common one at the federal level. But there are some department-specific requirements too. So for example, when you look at the Defense Department, they've added additional requirements on top of FedRAMP. And providers like us have to go through those additional processes, and then again, if you're partnering with an AWS, and we've gone through that process, and we made the investments, and you have some software that's based on AWS, that's going to be favorable for you in order to sell to that market segment. >> Take a step back and zoom out, and talk about the big landscape in DC. Obviously, DC's the center of the action for policy and this, obviously, public sector all around the world, as well in the United States. What's the trend that you're seeing? I mean, obviously Amazon is kind of like its own black swan. If you think about it, lowering prices, increasing functionality on a daily basis is the business model of Amazon. They win on scale. Customers are happy with that, and government seems to be happy. Yet, the competitive landscape couldn't have been at an all-time high, certainly Oracle, IBM, Microsoft, the others are competing for the same dollars, potentially. So you have the old guard, as Andy Jassy would say, and you guys, self-described, new guard. What's the landscape look like? How are you guys competing? What observations can you share and the role of policy makers in the middle of it? Are they stuck between all this? >> Well, it's been quite a ride over the last seven or eight years. Again, going back to when the First Cloud Policy was issued by the Federal Government CIO at the time, Vivek Kundra. Very early days, they talked about each agency trying to move three applications to the cloud. And so we're in a much different time now. And there a lot of agencies who are going all in on cloud services. That's actually been really fast forward and emphasized even more over the last couple years, starting with the previous administration and the emphasis that they had. I talked about the 2015 budget, but we also saw a number of other policy initiatives in the previous administration during President Obama's eight years. And then you had the new administration come in and really emphasize this early too. And one of the cornerstone things that's happened by the new administration over the last year has been the development and then the release of the President's report on IT modernization. And they set up a new Office of American Innovation and a new tech council to advise on the development of that report. And they went out, the administration did, and got a lot of input from the industry. And then they came out with a final report of recommendations in December. And they're already moving to actually implement a number of those recommendations and pilot a number of recommendations in agencies. And they're really emphasizing shared services and commercial cloud services as a key part of that effort. And then in tandem with that, and this is probably going to shock you, but in tandem with that, Congress actually worked with the administration to also make a number of changes to law, including in December of 2017, a really important piece of legislation called, The Modernizing Government Technology Act. And that was added to the Defense Authorization Bill for 2018. You know in this town, that's often how legislation moves at the end of the year is through the Defense Authorization Bill. So that legislation was passed, and it really is focused on helping agencies in their IT modernization efforts move again from legacy IT systems to the cloud. And they're not doing that just because it lowers cost, and it's a good thing to do. They're actually doing that as part of a way to improve the Federal Government cyber security posture. And that's the last thing I'll talk about that's happened in the last year is I mentioned what the administration did about its IT Modernization Report. I mentioned also what Congress did with the Modernizing Government Technology Act. Well, there was also a new cyber security executive order that was issued during the year by the President that married those two things. And basically, it made very clear that there's very little possibility to actually improve the security of federal systems without moving forward with the IT modernization efforts and moving to cloud. >> And the cyber warfare we're living in it truly is a cyber war. This is not just hand-waving, IT modernization. It's beyond that, because it's critical infrastructure now being compromised. This is our security, right? It's the state of the security of our people. >> You bet, and quite frankly, we're seeing this trend internationally too. You see more and more governments making this link between IT modernization and improving the country's cyber security posture. We've seen that in the UK. We've seen that in Australia. >> It takes cyber war to fix IT. I mean, is that what we're coming to? Okay, final point is obviously IT modernization is key. I love that that's driving it. We need to go faster. Question for you, Cloud First, certainly a big, initial orientation from the government to go Cloud First. Question for you is do you see the expectations yet in the agencies and throughout public sector for cloud speed, meaning not only like speed in feeds, like moving to an agile outcome, faster delivery, under budget, on time, lower prices. Is that expectation now set, or is it still getting there? >> No, we believe it is being set. And if you look at developments over the last six months I mean, you now have the Department of Defense that has come out with changes to policy to move faster to the cloud. And if you look at the Secretary, I'm sorry, the Deputy Secretary of Defense's memorandum in September of last year, he talked a lot about leveraging cloud computing as part of a way to make improvements in the implementation of technology, such as artificial intelligence and machine learning. And in that memo they talked about that's a national security imperative to do that. And so they're seeing technology, not as the end result, but as a way to enable a lot of these developments and changes. And we've already seen many of those steps forward in the intelligence community. So it's very encouraging to us that we're also seeing now the Department of Defense move in this direction. >> So they're running towards the cloud. They're running towards AI. >> Shannon: They're trying to. >> They're going as fast as they can, because they need to. >> They're trying to. >> Final word on security. What do you hope to have happen in our government in America to really crack the code on cyber security and surveillance all these holes? Especially with IoT, their surface area couldn't be bigger. >> So before I answer that question, one thing I did want to say, because we were talking about the Department of Defense. And you had added a question in earlier about what some of the legacy proprietors may or may not be doing. Well, these two things are married. What we're seeing at the Department of Defense is that they really do want to move faster to the cloud. But you probably noticed in the press that there are many different legacy providers out there. And as our boss would say, Andy Jassy, a lot of the old-guard community, who want to try to slow that transition down. And so that is really something that's going on right now. There's a lot of effort out there to pursue the status quo, to continue to keep the lights on. And if you look at what amount of the federal budget that is being spent on keeping the lights on in IT, it's over 80% is what the number is commonly referred to. And so a lot of companies are making traditional companies, old-guard companies, as Andy Jassy would say, are making a lot of money following that same path. And you know what? The taxpayer can't afford that anymore. The mission owners can't afford that anymore. And so it's really time to move forward into the 21st century and leverage commercial cloud technology and some of these advanced capabilities, like artificial intelligence and machine learning. And then to answer your final question-- >> Hold on, on the DoD thing, because I did see that in the news. It's obviously clearly FUD, fear, uncertainty, and doubt, as they said, in the industry from the old guards to slow down the process. That's classic move, right? Hey, slow down. >> It is. >> We're going to lose this thing. If we don't put the brakes on-- >> It's a classic move that some companies have been practicing for a few decades. >> Decades, decades, we all know that, I mean, it's called Selling 101 when you want to secure the ivory tower. Okay, so papa, this is the tactic, and I want to get your opinion. This is a policy question. It's not in the best interest of the users, and the society, and the citizens to have a policy injection for political warfare on deal selling. So that's, essentially, what I see happening. >> Yeah, we agree. >> I want to get your comments on this, because it comes up to a very political topic, technically, multi-cloud. >> Shannon: Right. So the move is, whoa, you can't go to one cloud. We're putting all our eggs in one basket, so we have to spec it to be multi-cloud. That's the policy injection. What's the impact of that in your opinion? Does it matter? Does the government say, "Hey, we should do multi-cloud"? You actually want to have one cloud. That's what Andy Jassy >> Well, actually... >> wants, right? >> you know, that's not true. What I'll say, and take a step back here, is that what we want is what the customer wants. And a lot of companies are forgetting the customer in this debate about multi-cloud versus single cloud. >> So you're jump ball. Your philosophy is to say jump ball. >> We welcome open competition. >> So multi-cloud, >> We want to serve the customer. >> and single cloud. >> What happened with the intelligence community is they had an open competition for a single-cloud approach. One thing that's happening right now as part of this broader discussion is some of the old-guard companies are spreading a lot of misinformation about-- >> John: Like what? >> the different types of contracts, and so there's been a lot of misinformation about DoD trying to pursue a sole-source contract for this JEDI program that they're trying to do to implement cloud. And what DoD has said in the stories that I've read on the record is that they want to have an open competition. And whether or not they choose a single award, which is different than a sole source that's not competed, if they choose a single award that's competed like the intelligence community did, or they choose a multi-award, it's going to be their preference. And let me tell you something, the policy space, what we've heard consistently from members of Congress and other policy makers is they don't want to be in the business of telling the Department of Defense or any other federal agency, specifically, what they should do or shouldn't do in a technology procurement. What they want is an open competition. And I'll tell you on the record, we embrace an open competition, and that will serve the customers well. But don't tell the customer if you're an old-guard company what they should or shouldn't do. And don't ignore the customer. >> Well, I would, from just a personal standpoint, industry participant, I would say that that's going backwards. If you have the companies doing old-guard tactics injecting policy and FUD to slow a deal down just to save it, that's really bad, bad form. >> Yeah, it's- >> That's going backwards. >> It's bad policy, but it's also bad for the taxpayer, and it's bad for the mission owner. So let there be open competition. Let the customers, like DoD, make the decisions that they're going to make, which is going to be best for their mission. >> Well, Shannon, as Teresa, a basketball fan, would say, "Jump ball," make it fair. >> Let's do it. >> Let the chips fall where they may. >> Let's do it. >> All right. Open competition, that is Amazon's position here in DC. Policy, no problem, we can play that game, but it's all about the customers. Shannon, thanks for your insight and observations. >> You bet. >> Shannon Kellogg, who's in charge of policy at Americas for AWS. This is CUBE Conversations. I'm John Furrier, thanks for watching. (rhythmic electronic music)

(dramatic music) >> Narrator: Live from Washington D.C., it's cube conversations with John Furrier. >> Hello everyone, welcome to this special cube conversation, I'm John Furrier, the host of The Cube, co-founder of SiliconANGLE media Inc. We are here in the Washington D.C. Beltway area. We're actually at Amazon web services' public sector headquarters in Arlington, Virginia. My next guest is John Wood, he's the CEO and chairman of the board at Telos, a big provider of some of the big contracts, certainly with Amazon CIA, among others, welcome. >> Thank you very much. >> Thanks for joining me. >> I'm glad to be here. >> So, you guys have been pretty instrumental and we were talking to Teresa Carlson earlier, with an exclusive interview with her, and we talked about the shot heard around the Cloud. That was the CIA, Amazon win, four years ago. >> Yes. >> Kind of infiltrated the government area. It's almost a gestation period and now you got DOD action, a ton of other opportunities, but it really is an architectural mindset changeover from the old way. >> Yes You're involved in this, with Telos. What's your take, how are you guys involved, what's going on? >> Yeah, so it was groundbreaking, when the CIA made the determination that they were going to move to the Cloud, for sure. It kind of made everybody stand up and take notice, if the most security conscience organization in the world was considering it, why aren't I? And here we are, four years later, so where is the CIA now? Well now, the CIA is able to provision a server in a couple minutes, whereas the past, it used to take them almost a year. Now, with the use of automation tools like we have with Telos and the Xacta suite, the CIA is able to get their authority to operate in less than a week, when it used to take 18 months. So, I basically think what's happening is, the Cloud is providing an access point to IT modernization and the agency is showing that there is a blueprint that the rest of the government can also follow if they want to. >> One of the things we're involved in a lot of Blockchain covers, as well as kind of kicking the tires on Blockchain. You're in the middle of a Cloud gain with identity. Identity is the secret to having good scalable systems, because when you have good identity, good things happen. In Blockchain, some people say a theory about those. In IT, it's what identity you're going to use. How does the authority to operate challenge, you mentioned, become so important, because you're talking about massive amounts of time, I mean time savings. >> Wood: Yeah, so-- >> Just tease out the nuances of why it's so important to have that identity solution. >> So, in the past, there was no common language within which our cyber security professionals could engage with each other. Now, with the signing of the President's executive order on cyber security, the White House really is mandating the adoption if the NIST framework. What's relevant there is that on the one hand it provides you with a common language, but on the other hand, it's 11 hundred controls. So, as a result, automation is going to be key, to making sure that people can work with each other and making sure that, actually, the adoption actually takes off. >> They're safe, they know the trusted party. Is trust a big part of this and how does that--? >> I think what's happening, because the intelligence community has been working so closely together, and when I say the intelligence community, it's not just the traditional CIA, NSA, NRO, et cetera, it's also the military component of the intelligence community. So, you've got almost 38 assessors that are assessing C2S and SC2S. You know, the secret, if you will, Cloud, and the top secret Cloud, and those assessors all have been working in the same community under this framework and I think that has given them the confidence that the data is protected and as a result, they're heading much closer to reciprocity than ever before. >> There's been observations certainly on the Cube, we've said this many times with the past few years in tracking IT over the years, IT transformation, digital transformation, whatever you want to call it, buzz word. The reality is you had some progressives that would move faster and kick the tires, certainly financial services, in some areas you see that. Really, no problem. Then you had the folks who have just been consolidated down, didn't have a lot of budget and were lagging, waiting to adopt. Now there's no excuses, with cyber security, top of mind, with hacking, malware, ransomware, cyber warfare from nation states, sponsored states, an open source it's out of control. >> It is. >> So the security equations is forcing IT to move. The action has to be taken. What are you guys seeing in this area, because this is a big story and it's really putting a fire under everyone to move. >> And it's long over due. I co-wrote and article with our chief security officer in 2011, talking about why the Cloud was the way to go for federal, state, local, and education customers and at the end of the day, I think what's happening from a top cover perspective, the legislative community understands that. Obviously the Executive branch understands that, and now with editions like C2S the rest of the environment, the rest of the government can see what's possible. So, I believe the leadership within the government is ready for this change. They're seeing the benefit as it relates to C2S and SC2S and ultimately, the key is, the guys who run the contracts themselves, you got to make sure that those guys want that, to embrace that change too. >> Furrier: Yeah, so you have the-- >> And right now, 80, if you look across the government, 80% IT span is going back into maintenance. If you look at all my commercial customers, it's somewhere between 20 and 25%. What does that mean? It basically means that the government has a lot of legacy systems, which means that there's a lot of threats, and, which means there's a real cyber security problem. I believe fundamentally that by moving work loads to the Cloud, you'll be eliminating a lot of those cyber security problems. >> Yeah, it just means security is going to be the driver. The other thing I wanted to bring up, especially here in D.C., in public sector, is transparency. Now everyone can see everything. We're in a data-driven world, you can't hide either. The light is on, it's right there on the table. No more hiding. How has transparency been impacted in the procurement process, in the sales motions, the overall engagements with gov and public sector customers? >> I think, truth be told, there have been a lot of ideas that were sort of short-term and not really thoughtful, but the good news, as I said, is that the policy makers are really thinking and considering, trying to figure out how to make changes. Take for example, LPTA, low price technically acceptable. When I went to the congress and talked to both the House and the Senate side, and talked about how if I have one customer whose gotten hacked and the other customer has the same hack, but one happens to be a government customer and one's a commercial customer, the resources that we have are really trained, highly skilled, highly sought-after resources. Well, my commercial customers are willing to pay three to four hundred percent more than my government customers are. So when you have scarce resources, where are you going to apply them? You're going to apply them where the people are who are going to pay you. So my point to the Congress was simply to say, hey man, you get what you pay for. So ultimately, the good news is that, both on the House and the Senate side, that they elimanted LTPA, as it relates to cyber security, goods and services. So I believe, again, that there's a lot of, not just transparency happening, but there's a lot of people realizing that there are things that we can do. Procurement is kind of the last frontier for me. I have seen recently, I saw one of our government customers, where we were subcontracted, they went with something called an OTA, which stands for an other transaction agreement. Big problem in the government these days is everybody protest everything and there's really no downside to the protesting. With an OTA it's not protest-able. So I am seeing our government customers beginning to think about other means of actually doing things like procurement, and so that you can actually acquire. >> Are they going to have instant replay? (laughter) It sounds like the NFL, that call's not reversible. I mean, this is kind of, we're getting into all these rules and regulations where you've got protest, it seems that policy injection is not healthy at some level, because that point about what cost more on the commercial side, because of demand there, they understand the consequences and resource availability. To the government you just eliminated a policy that wasn't really helping. >> Right. >> So policy is a real consideration in here. >> I think so. Again though, it's a different environment than it was five or six years ago and I do think that there are some real positive things that are happening. I agree with you that there's a ground-swell of support behind the Cloud and certainly, players like us see the benefit associated with that shared security model. >> One of the things we've been observing and tracking on Sillaconangle and the Cube is this notion of public-private collaberation. Sharing data is a huge deal. Certainly, in Cyber people realize that data is valuable. Certainly, at Scale, you see patterns you might not see, customers on workloads, here and there, need to be identified. You're not sharing the data you don't know. So data sharing is a big deal, but also, collaborations between the private and public sector. Can you comment on what's going on there, because we're seeing some movement where, you're seeing some security agencies saying, "We'll share some stuff." >> Yeah. >> Furrier: You share some stuff with me, so you're seeing a little bit of the community developing heavily around data-sharing, what's you're take on that? >> So, I think we have a ways to go to make it work right, because if it was working right, you wouldn't see the very published, publicized hacks that have gone on. One of the things that the Congress can do is to provide incentives for the private sector to share more information, more quickly. When the Yahoo hacks occurred, it wasn't discovered until two or three years later. As a result, like I said, there's really no incentive and there's a perceived amount of liability. One of the things I'm asking some of our Congress people to consider is if you do share information, maybe, there's a limitation on liability and that provides, if you will, a mechanism and that provides an incentive for the private organization to work with the public organizations. >> So not to bury it, like Yahoo tried to bury that thing. >> Exactly. There's no sense in burying it. There should be no reason to bury. >> Okay, take a minute to talk about Telos, what you guys are doing, the chief executive. What's going on with the company, talk about the successes, where you guys are winning, your challenges and opportunities. >> Sure, we're in the business of, we do cyber security, we do identity and we do secure mobility. In the area of cyber security, I'm very proud about the fact that we're the database of record for intelligence community, many department of defense agencies use us, homeland security, a whole, department of safe-- There's a whole bunch of organizations that tend to work with us. I think that the issue for me has always been around investing in things that make our customers more efficient. So whether it's cyber security, it's one thing to provide the authority to operate, but I like to provide that authority to operate on a continuous basis. When we talk about identity, it's one thing to say that I am who I say I am, but it's another thing to let you know that I'm actually somebody that's trust worthy. So, we have a special relationship with the FBI that allows us to do real-time data look-ups on their people. We're the integrator of record for the common access card, the military ID card, we have been for a long time. From that, we built a business relationship with the TSA and now we have about 70 airports around America that use our service to do identity as a service for all their employees. >> Can you get me to cut the line at Pre? (laughter) >> You know, if you want to cut the line at TSA pre-- >> Quality of service opportunity and people will pay more for that. >> Absolutely. And plus, I think TSA pre-check wants to have a lot more people in that ecosystem too. No different than when the Easy Pass came into play years and years ago. I remember just zooming through the Easy Pass and wondering why people would want to stand in line, why would you, right? And then if you think about it, we're also involved with secure mobility, so we have a capability called Telos ghost that allows you to basically hide on a network. You're familiar with the notion of signal hopping? In World War two that's how we avoided detection by the enemy, so this is what we invented here with something around IP hopping. So as a result of that, whether you're a server-facing thing or a client-facing thing or a mobile device, you can't be seen on the network and if you can't be seen on the network, you can't be hacked. >> Well, that's awesome stuff. Your relationship with Amazon Web Services, talk about that, some of the things you're involved in. >> Yeah. >> The deals, the momentum. What's the relationship look like between you guys? >> So we have an enormous relationship with Amazon, most important part that we have, it started with the agency and I was in a meeting with Teresa Carlson, one of the senior people in the agency, and we wondered whether or not we could do for, we Telos, can do for the Cloud that which we've been doing for the enterprise for the better part of 15 to 17 years now, which is basically providing that authority to operate in an automated way. So we invested together and we were able to prove that we could absolutely do that. Now, what we're doing is we're basically copying and pasting that model to our customers across the government. >> And you guys put a stake in the ground, 2011. You were early. I mean 2008 was the beginning of the DevOps movement, you were in the heart of it in 2011. >> Wood: Yep. What's the biggest thing you've learned or observed or experienced over those years, since 2011? >> The biggest thing? >> Or just the most important. >> Wood: That is an enormous question. >> It could be the most important, the most relevant, most surprising-- >> Well the most important thing was I got married in 2012. (laughter) I have a four year old and two year old and a 14-year old, those are the most important. >> Was it really you who got married, was it your identity? >> Wood: It was really me and it was my identity. I will say, I think that the government is embracing efficiency. The government is embracing change. I think it started around 2014 or 15, and now it's really moving out. I think there's a lot of top cover, both from a policy side and an executive side and I'm seeing a lot of leadership from within the government itself of people who want to make the change happen. >> And there's also the competitive fairness question we're hearing, just here in town, yesterday, rumblings of one-source Cloud, multi-Cloud. Amazon is technically a one-source Cloud, but they've got an ecosystem. Should they have multi-Cloud in their requirements? All these things almost feel like that protest model is going on, like there's a little fud going everywhere from the other vendors. Do we expect to see more of that in your mind or less of it? (laughter) >> I think at the end of the day-- >> The chips are taken off the table. >> The people who don't want change are the ones, who are, if you will, very invested in the legacy. If those people are paid, time, material or cost blessed, they're not paid to be efficient. So there's going to be push back. On the other hand we've seen by the gigantic growth of the adoption of the Cloud and by the Cloud infrastructure and the Cloud ecosystem itself, there are enomorous opportunities for organizations out there. So I think people should embrace the change, I really do. I think, fundamentally, it's going to be a really big positive to this industry and into this region. >> I always say to Dave Vellante and my co-hosts, it's like no brainer, you look at the main frame, that was the generation when I was growing in the industry. I was the young gun, like main frame co-ball, who the hell wants that? Mini computer, eh, I want the client server. It's pretty obvious when you're in it. So I got to ask you with that in mind, Cloud is pretty obvious. Folks will understand DevOps and automation and those efficiences. You mentioned authority to operate as an example. Some of these numbers are pretty significant. So let's go down the problems that are important, what are the consequences, how do you quantify it, right? So the problem that people are trying to solve is how do I get resources, computing, software, whatever. Pretty important, because now you've got security, you've got all kinds of stuff. What are some of the consequences and you mentioned some benchmarks that you've quantified. You mentioned provisioning a server in a year. Is that really true? >> Wood: That's true! >> So give me some data on some of consequences, kind of the old way and new way. >> Well the old way if you're using the traditional procurement, it's like I said, one of the big issues is whether it was the culture or it's procurement roles or just the process to get an approval, it would take a year to get a server provisioned. Now, it's literally, you push a button and one to two minutes later you have a server, a new server. So you get ultimate scale, you get ultimate throughput, you pay as you go, you pay what you use. What's not to like? So that's all good. From the standpoint of security, because it's the NIST framework we can automate about 90% of that. That's 11 hundred controls, right? So we automate about 90% of those 11 hundred controls. Now, you get a whole bunch of auto inheritance, a whole bunch of things that can be automated are, and as a result, when NIST goes from one version of NIST to another version, all that happens automatically, and more importantly, as a cyber security professional, and I've only been at it since 1994. (laughter) I've been in it for relatively a long time as a CEO. As a cyber security professional, what I see is, as long as I can show a continuous monitoring of your current status, that's very relevant to the operational security professional. That's really good. So for us, we know that our customers are going to be a combination of Cloud, hybrid, and on-prem. These large organizations are going to take years and years and years to move to the Cloud, but they got to start, because now is the time. >> So automation and having that nice stack where it automatically updates and auto-provisioning, auto scaling, but the operational provisioning piece is really where the rubber meets the road, right? Is that what you're getting at? >> Well it's that. It's also you're consolidating your data centers. You don't need lots of them anymore. You can just focus on one, that's another big area. Another big area is, you can lift and shift your legacy IT infrastructure into the Cloud and then put the big investment into the new application as it's siting in there in the Cloud. >> Awesome, John, thanks for joining us here in the cube conversation. Here at Amazon Web Services Headquarters, breaking down the trends in GovCloud public sector as Cloud computing really levels the playing field, opens up new doors, new solutions, faster time to operate, in vi of other things, here in Washington, D.C., in Arlington, Virginia, I'm John Furrier. Thanks for watching. (dramatic music)

>> Announcer: Live, from Washington D.C. It's Cube Conversations, with John Furrier. >> Hello there, welcome to the special Cube Conversation, I'm John Furrier with the Cube here in Washington D.C. at the headquarters of Amazon Web Services Public Sector, here in Arlington, Virginia, right around the corner from D.C. Our next guest is Robert Groat, with the Executive Vice President of Technology at Smartronix, a service provider in Cloud and an IT. Thanks for joining us. >> Thank you John. >> So we're in D.C. and the Cube's getting the lay of the land, so much innovation happening around Cloud and disruption, you got one group going, scratching their heads, wondering what's happening, some groups saying what happened, and you got people making it happen, right? >> Exactly. >> What's the big "ah-ha" moment people might not know looking into D.C. now? What is the real trend? What are the people that are making it, what are they doing? Is it the Cloud, is it mobile, is it data-driven? >> Yeah, I think it's all of those components, but I think one of the things that you're really seeing is that the Cloud is enabling these organizations, these traditional organizations, to really transform in the way that they deliver and consume IT services. IT services have been a mess in this town for a long time, the contracting process has been a mess, some of the things that happened, some of the smaller organizations have had a chance to be really innovative and take a leadership role in delivering services to the community and not just the large beltway bandits that we've seen in the past. So I think some of the "ah-ha" moments are probably around, you know, we've been working, Smartronix has been working with the public sector and Cloud since 2009, so really one of the early pioneers, and we used to run across all of these issues where security was the blocker, and it would take a long time to convince people that the security in the Cloud really was what it needed to be. Now we're seeing, in terms of an "ah-ha" moment, we're seeing that security is the enabler, we're seeing that these organizations are really embracing the fact that you can do things in the Cloud from the security perspective that you could never do before. And I think that you've got this kind of next generation of managed service provider that embraces those tenants of how to manage services and manage security services and it's really disrupting the way that the Federal Government's done business in the past. >> You know, we were at the Public Sector Summit last June, and we were commeters, the first time the Cube was at an event, which we had been to other ones before that, but it was very clear to me that we're in a no-excuses government at this point, cause there's a lot of forcing functions. You have one, connected social media, and everyone's like hey, why can't I do that over there? It's like the old iPhone moment on the enterprise. Why can't I bring me iPhone to work? You know, years ago, right? >> Exactly. >> Now you have security looking down the barrel, and IOT happening, and you don't have a thing, so you have Swiss cheese called malware, attacking every hole, every corner of the network potentially is compromised. >> Exactly. >> So security is forcing, and we're at cyberwar. >> We are! >> You can't deny that, so why isn't the Congress emergency funding for more security, or is it happening? >> Well, they need to be, but if you look at, if you look at the way traditional data centers are built and on-premise infrastructure is built, you had a variety of contractors coming in, each kind of doing their own thing, you had this heterogeneous infrastructure that was all built and kind of tangled together, and there wasn't this great way of being able to look at Cloud services or be able to look at a Greenfield environment, and have everything that's happening in that environment aware to you. And that's really what the Cloud is enabling. You're actually. >> You mean program the whole infrastructure? >> Programmable infrastructure, exactly. You're actually, every single thing that happens in a Cloud environment ends up being an API call. Each one of those API calls ends up being logged, and when you have every event that's happening in your environment, you don't have that in a traditional data center. When you have every event that's happening in that environment, and you can apply some of these new primatives that AWS is providing around machine learning and AI, now you're using those to attack those vectors that you're talking about, to protect critical infrastructure, really in ways that you couldn't do before, and you can actually, with this programmable infrastructure, you can actually really look at being able to respond to events, and have autonomic response and remediation of these events. So when something happens, you've programmatically defined how you're going to respond to those events, and it's repeatable. >> Yeah, one of the things I'll share with you, I did an interview with, I think it was the CTO or the CSO of Fortinet, which is a security vendor, >> Mhmm. >> And we were talking, and we were totally geeking out, he was like the complexity of the Cloud actually is an advantage in the security, and I said what do you mean by that? He goes, most of the hackers will focus the main payload of their vector on one particular item, and that's where all their energy, if they have to hunt too far, they kind of give up.6 >> It's just like on the battlefield. The surface area of attack matters, and when you have such a wide, vast surface area of attack, there's no way for them to. >> So you agree with that? >> 100% agree with that. >> How is that, how do I turn that complexity, obviously there's a main range of tools to make the Cloud easier, but complexity of scale, how do I turn that as an IT person or a manager, or an executive, into a security advantage? What do I do? >> So the security advantage is that every time you build a rule, every time you think about compliance and maintaining compliance for your organization, you're actually starting to build knowledge and a new capability. That can be applied programmatically now, across your entire set of enclaves that you use for managing infrastructure, so when we develop one thing as a manage service provider, to make sure we're meeting some kind of compliance mandate, that now can be shared across all of our clients in the space, and this can start to really help create that protective ops infrastructure. >> So you scale more observation space to get more data, that gives you also an advantage. >> It does, it does. And then when you can actually take that data and use it to train to understand where these advance persistent threats are, you can then really start to do things, that this was the province of really large organizations, only in the past. And now AWS has democratized that ability to use these tools around artificial intelligence and machine learning to improve security. >> Robert, you can't go back five years without hearing, are you kidding me, that Cloud is insecure. Turns out, Cloud is becoming a better security paradigm than building on site because of human error or other force majors or any kind of other acts. >> That's exactly right. Anybody who's looking at it from a security perspective and thinks that they can have the same kind of security that, you know, a multi-billion dollar company like AWS can provide, they're mistaken. And the main thing around that is, they don't have transparency to every event happening in that environment, and that's what you get when you start to utilize Cloud services. >> Yeah, I think Verizon was the first company that notified me that this might be the trend. I think this was like a 2011 time-frame. Don't discount a multi-tenant Cloud. >> Exactly. >> Like okay, and they realized and have been tracking that like okay, so big trends in technology, tailwinds and headwinds. What trends are tailwinds for the growth, and what are the headwinds, what's the blockers? >> Well the tailwinds is the fact that I think everybody's kind of not resigned to the fact, but they're seeing the Cloud first as probably a strategy that they should take. And, you know, we've seen the government be laggards in the past with adopting new technology, I think what they're seeing now, especially in the Department of Defense, and then some of the Federal organizations that we're working with, they're actually seeing that perhaps their adversaries are having a competitive advantage by moving into the Cloud, maybe they should look at the competitive advantages that they should have moving into the Cloud infrastructure. Not just security, but the ability to be innovative and agile and deliver services much faster than they've ever been able to deliver them before. >> Well we had a different approach and automated actual code bases so that you can actually deploy services and automatically code them up with glue instantly, so it's interesting. >> That is one of the fundamental things, that when you start looking at infrastructure's code, and you look at things that you can make repeatable in these environments, then look at how many times the government's probably built out a particular enterprise software staff, whether it's Share-A-Plan or >> Authentication. >> It all gets repeated, once that gets cauterized and done right with the right subject-matter experts, then you can start to create service catalogs that these organizations can use and rapidly deploy things in a repeatable and manageable fashion. >> This is an open-source ethos. >> It is. >> We're on the shoulders of others, why replicate something that's already a service, throw it in a service catalog, make it a micro-service, make it an API. >> And that culture's finally transformed in the Federal Government, that didn't used to be the culture, right? >> People must be like, finally! >> It used to be, I have to have my arms wrapped around this, I have to be able to understand everything that's happening, and you would always hear some of these larger organizations say, you know, I don't want to have vendor lock-in. Even now sometimes, you'll see it a little bit. I don't want go with, maybe AWS, because I'll have vendor lock-in, yet for dozens of years, they've been locked into proprietary databases to commercial enterprise platforms, these behemoth software things that AWS again has helped to democratize by providing these primitives and allowing people to build things backed on open-source. >> You're speaking our language, we talk about this all the time, the lock-in, there's always a lock-in spec somewhere, if it's good, the issue is proprietary software and switching costs. >> Yes. >> And choice, right? So that the dimensions to evaluate for customers that we've seen that's successful is, okay, I don't mind lock-in if it's a damn good solution, I'm going to lock that in. >> Right. >> But I have choice. This is going to be interesting, right? So the multi-cloud conversation that is going on around the DOD is interesting, we've been reporting and out in the field, we've been getting the data coming in, saying hey, this DOD kind of overture is interesting, because now if they take the same route as the CIA, we're talking about massive infiltration of Amazon Web Services across the government, because that CIA's kicking ass and taking names with Amazon. >> Mhmm. >> Now you've got the DOD looking down potentially a single-cloud option, other vendors are crying foul calling, we need spec in policy, which is a hijack model of putting in multi-cloud requirement. What's your thoughts on that? Should it be requirement or should we jump off? >> Well, for one, when you have innovators in a space and they take a lead in the space, you're going to get, that's a forcing function for other companies to compete, and that's not a bad thing, it really isn't. And a lot of these organizations, there might be reasons that are very valid reasons for them to consider multi-cloud, or even consider what they have within their own on-premise infrastructure. You've got, you know, tens and tens of years of legacy technical debt in your data center, there's not a reason to pull everything into the Cloud environment, there might be reasons to just let that die a slow death and sunset that. >> Got the mainframe. >> And, like the mainframe stuff, for them to look at even migrating mainframe capabilities into the Cloud, it's a lot of rewrite, it's a lot of things that need to happen. And maybe there's ways that you can extend that on-premise environment, breathe a little bit of life into the on-premise environment, while you're building out your new infrastructure. And that's probably the right path to take. >> And some people choose to have Cobalt code running banks right now, and just because they have that process. >> And it's working, and you know, they'll inevitably come to the time that they have to do that migration. >> Great commentary, great to have you on, great to chat about the technology trends. Smartronix, what are you guys doing, how do you guys fit into this trend, take a minute to talk about what you guys do, and your opportunity. >> Sure, Smartronix is about a 20-year-old company, we talk about some of our competitors will talk about being born in the Cloud, we were actually pretty much born in the enterprise, we helped the Marine Core establish their network operation security command, 20 some years ago, we were first to kind of lead virtualization technologies to help the forward-deployed forces move in and create kind of these tactical data centers, mobile data centers that can move into theater, so it's always kind of been on the forefront of network operations and cybersecurity, and innovative solutions, innovative use of technology, in government. >> The battle field's an instant case of how to deploy. >> Absolutely. >> You need wireless. >> Austere environments, you know, low-power, they used to bring trucks in to be able to set up their mobile data center, and we actually using virtualization technology back in 2004, you know. >> You got to push the envelope. >> You have to. >> Your job is to push the envelope. >> And that's really where I think Smartronix has done a really good job, is that we've helped these large organizations that are in very secure and highly-regulated compliance-driven environments, and utilize technology in innovative ways. More securely, and more optimally in these environments. So when we had a chance in 2009, to do a solution for President Obama at the time, they introduced the Recovery Act, they needed a website to track 750 billion dollars worth of funding. We came in with a pretty innovative solution. They said they had 10 weeks to build this, you're not going to do that in a data center environment. We came in with a solution that said on day one, we're going to utilize Amazon Web Services capabilities, we're going to build out the test endeavor while we build out the data center environment, and we're going to make your deadline by October 1st. And that was really the jumpstart of what we did. >> Do you meet your deadline? >> We absolutely did. >> What was that other website that you didn't actually get the deadline done, they had to bring in? >> Yeah, the healthcare. >> Oh, the Obama. >> So this one was recovery.gov, a very well-documented success, it ended up being the very first cloud-first initiative for the Federal Government. The very first government property running on public Cloud infrastructure, and then from there we migrated to >> Well, he doesn't get the credit he deserves on open government. >> He doesn't. >> He opened up data sets, he changed the game. >> He did, and again, that was, I think when you look at historically, when you look back at the CTOs and CIOs of the Federal Government at that time, they were really trying to look to see how commercial technologies could be applied in the government, how you could get that agility and innovation, and speed of business of commercial and do that in the Federal Government. And I think we embraced that at Smartronix pretty early on, and we were kind of on the leading edge sometimes of delivering this kind of abilities and services. >> Literally. So, you guys are the right group to call for IT to get modernized, because this is is problem. No one can hide anymore, there's no more excuses. And again, this is the lack of innovation. If you've been sitting around not innovating, now there's cyberwars attacking, you got cybersecurity, IT needs to transform, they got to do it like really fast. >> You got all of these competing pressures, security, you've got time, you've got cost, you've got capabilities, all of those things competing. You need to have a trusted advisor, a partner, to get you through that. What Smartronix has created, we call it our four pillars, and these are very simple pillars, but it's really really required for really looking at Cloud services strategy. You have to help the organization define what the business outcomes are that they want in these environments, help them think through what the roadmap and strategy is to get there, and then when you go to the second pillar, which is design, there's unique ways to design things to make it cloud-native, to utilize cloud-native services that also, when you get to the implementation and migration point, you're building these in a programmatic way that makes it easier to operate and manage, and that's the fourth pillar. So if you can get these organizations to think from strategy all the way through to run, all the way through to operations management, you're going to have the more effective organization and better services in your environment. >> Robert Groat, Executive Vice President of Technology at Smartronix, thanks for spending that time with me. >> Thanks, John. >> I'm John Furrier with the Cube, in Washington D.C., actually in Arlington, Virginia at Amazon Web Services Public Sector headquarters, thanks for watching. (bright music)

>> Announcer: Live from Washington, DC, it's CUBEConversations with John Furrier. (techy music playing) >> Welcome back everyone, here to a special CUBEConversation in Washington, DC. We're actually in Arlington, Virginia, at Amazon Web Services Public Sector Headquarters. We're here with Sri Vasireddy, who is with REAN Cloud and recently won a big award for $950 million for the Department of Defense contract to partner with Amazon Web Services, really kind of changing the game in the cloud space with Amazon, among other partners. Thanks for joining me today. >> Thank you. >> So, obviously we love cloud. I mean, we actually, we have all of our stuff in Amazon, so we're kind of a little bit biased, but we're open minded to any cloud that we don't provision any infrastructure, so we love the idea of horizontally disrupting markets. We're just kind of doing it on a media business. You're taking an approach with REAN Cloud that's different. What's different about what you guys are doing and why are you winning so much? >> Yeah, I mean, I guess that is, you know, the key word being disruption. You know, I'm hearing more and more as this news spreads out about why, you know, we've disrupted, so they're proven the disruption, and when I mean disruption, you know, I'll explain what the disruption, you know, we're creating in the service industry is if you take a typical, like a services company-- >> John: Mm-hm. >> They integrate products using people to integrate products to solve a problem, but in the cloud world you can create those integrations with programmatic or APIs, so we can create turnkey solutions. With that, what we're able to do is really sell outcome based. We go to the customer and say it's not time and material, it's not fixed price, it's pure outcome based. So, to give you an example, let's say if you went to a theme park and while you're on a ride somebody just takes a picture, and then after you're done with the ride they put a picture in front of you and say, "Do you want to buy this?" And if you don't buy it they throw it away, so we literally have the ability to create those outcomes on the fly like that, and that's the disruption because that kind of outcome based allows customers to meet their goals much quicker. So, one of the secrets to do that, if I can get this right, is you have to have a really software driven, data driven environment. >> Sri: Absolutely. >> So, that's fundamental, so I want to explore how you do that, and then what does it mean for the customers because what you're essentially doing is kind of giving a little predictive solution management to them. Say you want to connect to this service-- >> Sri: Yeah. >> Is that microservices, is this where it's going to be wired, take us through how that works, because there's tech involved. I'm not saying you don't want to throw anything away, but if it's digital (chuckling) what does it mean to turn it on or off, so is this what people are referring to with microservices and cloud? >> Yeah, so I'll get to the microservices part. The disruption, the way, you know... The innovation that we created is if you take 20 years ago, when you look at people transforming to the internet, right, so their first time they're going on the internet, at the time they were paying a HTML developer that would develop a webpage. >> Mm-hm. >> You know, hundreds of dollars an hour, right, and today high school kids can create their own webpages. That's the outcome focus, because the technology matured to a point where it auto-generates those HTML pages. So, fast forward 20 years, today people are looking for devops engineer as a talent, and whatever that devops engineer produces, we've figured out a way to outcome base. We can drag and drop and create my architectures and we are to produce that code, right. That's what makes us very unique. Now, coming to your question about microservices, when we are going to large customers we're taking this phased approach, right. First they will do lift and shift based-- >> John: Mm-hm. >> Move to cloud, which actually doesn't even give them a lot of their features. It doesn't give them better response. It doesn't optimize for cloud and give the benefits. Say they put in the effort to apply devops to become very responsive to customers. Say if I'm a bank I have my checking business and savings business, and each line of business got very efficient by using cloud, but they have not disrupted an industry because they have not created a platform across lines of business. >> John: Mm-hm. >> Right, so what they really need to do is to take these services they are providing across lines of business and create a platform of microservices. >> So, you basically provide an automation layer for things that are automated, but you allow glue to bring them together. >> Absolutely. >> That then kicks off microservices on top of it. >> Absolutely, right. >> So, very innovative, so you essentially, it's devops in a box. (laughing) >> That's it and what-- >> Or in the cloud. >> Yeah, what normally takes three years, so most of our customers when they tell this story they tell us, "Oh, that's five years down the road." So, we knock out three years off the mark, right. There are companies that, for example, DOD is one of our customers. >> Mm-hm. >> There are some other companies that have been working with DOD for the last two, three years and they have not been able to accomplish what we accomplished in three months. >> You guys see a more holistic approach. I can imagine just you basically break it down, automate it, put it in a library, use the overlay to drag and drop. >> Exactly, plug and play and that's it. >> So, question for you, so this makes sense in hardened environments like DOD, probably locked and solid, pretty solid but what about unknown, new processes. How do you guys look at that, do you take them as they come or use AI, so if you have unknown processes that can morph out of this, how do you deal with that use case? >> So, yeah, those unfortunately, you know, so what... There's this notion of co-creation-- >> John: Yeah. >> So, there's unknown processes where we put out best engineers is what drives to this commoditization or legos that-- >> So, you're always feeding the system with new, if you will, recipes. I use that word as more of a chef thing, but you know, more-- >> Sri: Exactly. >> Modules, if you will. >> Sri: Yeah. >> As a bit of an automated way, so it's really push button cloud. >> Absolutely. >> So, no integration, you don't have to hire coders to do anything. >> No. >> At best hit a rest API-- >> Sri: Yeah. >> Or initiate a microservice. >> Yeah, so what, I mean, the company started with Amazon.com as a, sorry Amazon Web Services as our first customer, and they retained us for software companies like Microsoft, SAP, and they went to Amazon and said, "We want to create a turnkey solution," like email as a solution, for example, for Microsoft, exchanging software. Email as a solution is spam filters plus, you know, four or five other things that we have to click button and launch, and Amazon, then we were servicing Amazon to create these turnkey solutions. >> So, talk about the DOD deal, because now this is interesting because I can see how they could like this. What does it mean for the customer, your customer, in this case the DOD, when you won this new contract was announced a couple days ago, how'd that go down? >> Yeah, so you know, I think we're super happy. Actually, again, 2010-- >> All your friends calling you and saying, "Hey, that $950 million check clear yet?" (laughing) That doesn't work that way, does it? >> It doesn't, it doesn't quite work that way, but although, you know, just some history, 10 years ago I had to choose between joining as a lead cloud architect for DISA versus first architect for Amazon Web Services, and I made the choice to go to Amazon Web Services, although I really loved servicing DOD because I think DOD's very mature in what you're calling microservices. >> John: Mm-hm. Back in the day, they had to be on the forefront of net-centric enterprise services, modern day microservices, because the Information Sharing Act required them to create so many services across the department, right, but there wasn't a technology like Amazon Web Services to make them so successful. >> John: Yeah. >> So, we're coming back now and we're able to do this, and I was with a company called MITRE at the time-- >> John: Yeah. >> And we, you know, I was the lead on the first infrastructure as a service BPA. If I compare to what that infrastructure as a service BPA was, the blanket purchase agreement, to what this OTA I think it's a night and day difference. >> What's OTA? >> OTA stands for other transaction agreements. >> Okay, got it. >> Which is how-- >> It's a contract thing. >> It's a contract thing, it's outside of federal acquisition regulation. >> Okay, got it. >> Which is beautiful, by the way, because unlike if you are doing such a deal, $950 million deal, probably companies that spend millions of dollars to write paper to win the deal, OTA's a little different. DIUx, who has the charter for the OTA, they need to find a real customer and a real problem to bring commercial entities and the commercial innovation to solve a theory problem, and then we have to prove ourselves. Thereabout, I'm told 29 companies competed and we, you know, we won the first phase, but there were two consequent phases where we have to provide our services, our platform, to the customer's satisfaction, and the OTA can only be the services we already provide. So, it's a very proven technology. >> John: Mm-hm. >> And as I see some of the social media responses, I look at those responses that people are talking about, you know, small companies winning this big deal and somebody was responding like, okay, we spent, you know, hundreds of millions on large companies, did nothing, and this small company already did a lot with $6 million. >> Well, that's the flattening of the world we're living in. You're doing with devops, you've automated away a lot of their inefficiencies. >> Absolutely, yeah. >> And this is really what cloud's about. That's the promise that you're getting to the DOD. >> Sri: Yeah, absolutely. >> So, the question for you is, okay, now as you go into this, and they could've added another $50 million just to get a nice billion dollar, get a unicorn feature in there, but congratulations. >> Sri: Thank you. >> You got to go in and automate. How do you roll this out, how big is the company, what are your plans, are you... Where do you go from here? >> Our company today is, you know, about 300 plus people, but we're not rolling this out on a people basis, obviously, right. You know, usually we have at least 10x more productivity than a normal company because especially servicing someone like DOD, it's very interesting because they do follow standards set by DISA. >> Mm-hm. >> So, what that means is if I'm building applications or microservices, which is a collection of instances, I have, DISA has something called STIG. You know, it's security guidelines, so everybody is using these STIG components. Now we create this drag and drop package of those components, and at that point it's variations of, you know, those components that you drag and drop and create, right, and the best thing is you get very consistent quality, secure, you know, deployment. >> I mean, you and I are on the same page on this whole devops valuation, and certainly Mark and Teresa wrote that seminal common about the 10x engineer. >> Sri: Yeah. >> This is really the scale we're talking about here. >> Sri: Absolutely. >> You know, so for the folks that don't get this, how do you explain to them that they, like what Oracle and IBM and the other guys are trying to do there. All the old processes are like they got stacks of binders of paper, they have their strategies to go win the deals, and then they're scratching their heads saying, "Why didn't we win?" What are they missing, what are the competitors that failed in the bid, what are they missing with cloud in your opinion? Is it the architecture, is it the automation, is it the microservices, or are they just missing the boat on the sales motion? >> Yeah, I think the biggest thing that people need to know is being on their toes. When Andy talks about being on the toes, when companies like Amazon at scale being on their toes, which means gone are those days where you can have roadmaps that you plan year, you know, year from now and you know, you do it, you're away from the customer by then, right, but if you're constantly focusing on the customer and innovating every day, right, we have a vision and a backlog. We don't have a roadmap, right. What we work on is what our next customer needs. >> John: Mm-hm. >> Right, and you're constantly servicing customers and you have stories to tell about customers being successful. >> What's your backlog look like? (laughing) >> Backlog could be a zillion things. Like what-- >> Features. >> Yeah, exactly. >> Feature requests or just whatever the customer might need. >> Feature requests, user stories, really understanding the why part of it. We try to emphasize the why of, you know, why you're doing and whose pain are you solving type of things, but the important thing is, you know, are we focusing on what matters to the customer next. >> How hard is multi-cloud to do, because if you take devops and you have this abstraction layer that you're providing on top of elastic resources, like say Amazon Web Services, when you start taking multi-cloud, isn't that just an API call or does it kind of change because you have, Amazon's got S3 and EC2 and a variety of other services, Azure and Google have their own file system. How hard is it code-based-wise to do what you're doing across multiple clouds? >> It's not at all difficult because every cloud has their infrastructure as code language, just like I talked about, you know, HTML to be generated to get a webpage. We use a technology called Terraform-- >> Mm-hm. >> That is inherently multi-cloud, so when we generate that cord I could change the provider and make it, you know, another cloud, right. >> Just a whole nother language conversion. >> Sri: A whole nother language, yes, exactly. >> So, you guys, do you have to do that heavy lifting upfront? >> Again, we don't, and it so happened that it will look at our platform that automates all these-- >> Yeah. >> The Amazon part of it grew so much because of what I just said. Like, the customer demand, even the enterprise customers that do have a multi-cloud strategy-- >> Mm-hm. >> You know, they end up more of what is good. >> Yeah. >> Sri: Right, so we end up building more of what is good. >> So, the lesson is, besides be on your toes, which I would agree with Andy on that one, is to be devops, automate, connect via APIs. >> Yeah. >> Anything else you would add to that? >> Devops is a, it's a principle of being very agile, experimenting in small batches, being very responsive to customers, right. It is all principles that, you know, that we embody and just call it devops, it's a culture. >> Managing partner of REAN Cloud. Sri, thanks so much for coming in. Congratulations on your $950 million, this close to a billion, almost, and congratulations on your success. Infrastructures, code, devops, going to the next level is all about automation and really making things connect and easily driven by software and data. It's theCUBE bringing you the data here in Washington, DC, here in Arlington, Virginia, AWS's Public Sector World Headquarters. I'm John Furrier, thanks for watching. (techy music playing)

(techno music) >> (Narrator) Live from Washington, DC. It's Cube conversations with John Furrier. (techno music) >> Hello and welcome to the special exclusive Cube Conversations here in Washington, DC. I'm John Furrier host of the Cube. Here at Amazon Web Services Headquarter World Headquarters for Public Sector Summit in Arlington, Virginia. Our special guest is Tricia Davis-Muffett, who is the Director of Marketing for Worldwide Amazon Web Services. Thanks for joining me. >> Yep. >> So we see each other and reinvent Public Sector Summit, but you're always running around. You got so many things going on. >> I am. >> Big responsibility here. (Tricia laughs) >> You guys are running hard and you have great culture, Teresa's team. Competitive, like to have fun. Don't like to lose. (Tricia laughs) >> What's it like being a marketer for the fastest growing hottest product in Washington, DC and around the world? >> Yeah. I mean it's really been amazing. When I came here, I kind of took a leap of faith on the company because it's four and a half years ago that I came. I literally accepted the job before we had even gotten our first fed ramp approval. So it wasn't entirely sure that this was going be the place to go to for technology for the government, but I really loved the way that we were helping the government innovate and save money of course. I think most of us who are in Public Sector have a passion for citizens, and for making government better and so that's really what I saw in Teresa and her team that they had such a passion to do that and that the technology was going to help the government really improve the lives of citizens. It's been great. One of the things that's been amazing is the passion that our customers have for our technology. I think they get a little taste of it and they go "Wow, I can't believe what I can do "that I thought was impossible before." And so I love seeing what our customers do with the technology. >> It's something people would think might be easy to be a marketer for Amazon, but if you think about it, you have so much speed in your business. You have a cult of personality in the Cloud addiction, or Cloud value. In addition to the outcomes that are happening. >> Uh huh. >> We're a customer and one kind of knows that's pretty biased on it. We've seen the success ourselves, but you guys have a community. Everywhere you go, you're seeing Amazon as they take more territory down. Public Cloud originally, and now Enterprise, and Public Cloud, Public Sector Enterprise, Public Cloud. Each kind of wave of territory that Amazon goes in to Amazon Web Services, is a huge community. >> Yeah. >> And so that's another element. I mean Public Sector Summit last year it felt like Reinvent. So this years going to be bigger. >> Yeah. We had 65 hundred plus people attend last year, just in the Washington DC area and we've also expanded that program now and we are taking our Public Sector Summit specifically for government education non-profit around the world. So this year we will be in Brussels, and Camber, Australia. We have great adoption in Australia as well with the government there. In Singapore, Ottawa. So we're really expanding quite a bit and helping governments around the world to adopt. >> So if that's a challenge, how are you going to handle that because you guys have always been kind of with Summits. Do you coattail Summits? Do you go separate? >> No. We go separate. We actually have the Public Sector Summits we take the experience of our technology to government towns that wouldn't typically get a Summit. So for instance here in the United States of course, San Francisco and New York there's a lot of commercial businesses. We have our big Summits there, but there's not as much commercial business here in Washington DC, so really Public Sector takes the lead here. And then we focus on some of the things that really are most important to our Public Sector customers. Things like, procurement and acquisition. Things like the security and compliance that's so critical in the government sector. And then also, we do a really careful job of curating our customers, because we know that our government customers want to hear from each other. They want to hear from people who are blazing a trail within the Public Sector. They don't necessarily want to hear about what we want to say. They want to hear what their peers are doing with the technology. So last year, we had over a hundred of our Public Sector customers speaking to each other about what they were doing with the Cloud. >> And I find that's impressive. I actually commented on the Cube that week that it's interesting you let the customers do the talking. I mean, that's the best ultimate sign of success and traction. >> Yeah. And the great thing is, you know I've worked in other places in the Public Sector and government customers can be kind of shy about talking about what they're doing. You know, there are very motivated to just keep things going calmly, quietly, you know get their jobs done. But I think... >> Well, it doesn't hurt when you have the top guy at the CIA say, "Best decision we've ever made." "It's the most innovative thing we've ever done." I mean talk about being shy. >> Yeah. >> That's the CIA, by the way. That's the CIA. And we've also had, people like NASA JPL who've been very outspoken. Tom Soderstrom said that it was conservatively 1/100th of the cost of what it would have been if he had built out the infrastructure himself to build the infrastructure for his Mars landing. I mean that kind of... >> It just keeps giving. You lower prices. Okay I got to change gears, because a couple things that I've observed to every Reinvent, as being a customer and I think I've used Amazon I first came out as an entrepreneur. (inaudible) had no URL support, but that's showing my age. (Tricia laughs) But, here's the thing, you guys have enabled customers to solve problems that they couldn't solve in the past. >> (Tricia) Right. >> You mentioned NASA and then a variety of other (inaudible). But you guys are also in Public Sectors specifically are doing new things. New problems that no ones ever seen before. And society, entrepreneurship, diversity inclusion, education, non-profits. You don't think of Gov Cloud and Public Sector; you think non-profits, education. So it's kind of these sectors that are coming together. This is a new phenomenon. Can you talk and explain the dynamic behind that and the opportunity? >> Sure. I love to hear the stories of what our customers are doing when they really are tackling a problem that no one had thought of before. So for instance, at Reinvent this year, one of our Public Sector customers who spoke was Thorne. And they are using AI to crawl the dark web and help find people who are trafficking children in human trafficking, and that's a great use of AI and that's the kind of thing. It also helps our public servants because it helps to make police officers' jobs more effective. So of course we know that police officers, there are never enough police officers to go around. There's never enough detectives to look into everything that they need to and this makes them so much more effective to make the world a safer, better place. I also love some of the things about educational outcomes. Ivy Tech Community College is one of our great community college customers. And their using big data analysis to put together all of the different data sets that they have about their students and identify who might be at risk of failing a class 10 days into the semester so that they can help intervene with those students. >> Where was that class when I needed it? >> I know. >> Popup and say, "Hey homework time." >> I mean it really is looking at what kind of issues that they're having very early on with attendance, with different behavioral things. >> A great example at Reinvent with the California Community College system. That was a very interesting way. He was up there bragging like it was nobody's business. >> Yeah, and I think the community colleges that really goes into this idea of we're trying to expand opportunity for a wide-range of people. You might think of computer scientists as that's going to be all the Carnegie Mellon and Stanford and MIT people. And of course those are great contributors to computer science, but the fact is that computer science is so critical in so many aspects of life and in so many different kinds of careers. We know that one of the limiters to our own growth is going to be the talent that we have available to take advantage of the technology. We've been really working hard to expand opportunity for a wide-range of people, so that any smart person with an idea, can be using our technology, that's part of what's behind building the AWS Educate Program, which is a program to offer free computer science training to any university student or college student anywhere in the world. >> So it's a program you guys are doing? >> (Tricia) This is a program we are doing, >> What's it called again? >> AWS Educate. And it's a program that offers free credits to use AWS to any student who is enrolled in any kind of university or college anywhere around the world. >> That's a gateway drug to Cloud computing. >> Absolutely. >> Free resources. >> Yeah, and we're giving them a training path so that they can... >> So they want to write some code, or whatever they want to do. >> Yeah, and they can take different paths and learn. Okay, I want to learn a data science pathway, so I'm going to go that way. I want to learn a websites pathway. And they can go through things and build a portfolio of projects that they've actually built. >> So can they tap into some of the AWS AI tools too? >> They can tap into a wide range of tools and they have different levels of tiers of credits that they get, so it's a really great program to really open up Cloud computing. >> Now is there any limitations on that? What grade levels, is it college and above? >> Actually at Reinvent we just opened it up to students 14 and above. >> (John) Beautiful. That's awesome. >> And we also have a program called... >> How do they prove they're a student? >> Having a school, an EDU email address, or their school being registered through the program. >> (John) Okay, that's awesome. >> And then we also have another program called We Power Tech, and that really is a program to help open up the talent pool again to women to underserved communities, to people of different ethnic backgrounds who might not see themselves in technology because they don't see themselves as computer programmers on TV or whatever. >> Or they don't see their peer group in there, or some sort of might be an inclusion issue. >> Right and we're looking at if you take educate and We Power Tech, we're looking at that full pipeline of talent all the way from kids who are deciding should I pursue computer science or not, all the way through to professionals and getting them to try to stay in technology. >> So you guys are legit on this. You're not going to just check the box and focus on narrow things. A lot of companies do that, where they go oh we're targeting young girls or women. You guys are looking at the spectrum broader. >> Yep. And we're really looking at different communities and helping people to find their community in technology so that they can find supportive networks and also find people to mentor them or find people to mentor who are elsewhere. >> How big of a problem is it right now in today's culture and in the online culture to find peers and friends to do work like this? Because it just doesn't seem to me like there's been any innovation in online message groups. Seems like so 30 years ago. (Tricia laughs) >> Yeah. I think it is tough and I think there are somethings that we're trying to break through. For instance, a lot of the role models out there are the same people over and over again. We're trying to find new role models. And we find that through our customers. We find customers who are doing interesting work and we're trying to cultivate their voice and help put them on stage. >> New voices because it's new things. Machine learning, these are new disciplines. Data science across the board. >> Yeah, and one of the things that I love about the technology is it really is has democratizing affect. If you have an idea, you can make that idea happen for very little money, with just your ingenuity and your ability to stick to it. >> I got to ask you the hard question. Shouldn't be hard for you, but Amazon is gritty. It's been called gritty by me, hustling, but they're very good with their money. They don't really waste a lot in marketing. >> Yeah we're frugal. >> Very frugal, but you're very efficient, so I got to ask your favorite gorilla marketing technique. Cause you guys do more with less. >> (Tricia) We do. >> Once been criticized in Wired magazine. I remember reading years ago about they were comparing the Schwag bag to Reinvent. (Tricia laughs) Google almost gave out phones. It's kind of like typical reporter, but my point is you guys spend your money on education to engineers. You don't skip on that, but you might not put the flair onto an event, but now you guys are doing it. >> I think there are two things. So one of them is the aesthetic of our events. We typically do have a very stripped down aesthetic and we've made frugal look cool. I think that's one of the things I learned when I came here was go ahead and have the concrete floor and put quotes from customers there instead of paying to carpet it. So don't waste money on things that don't add value that's one of the core tenants of what we do in marketing. >> Get a better band instead of the rug. You guys have always had great music. >> We do always have great music. >> Tricia, tell me about your favorite program or project you've done a lot over the years. Pick your favorite child. What's your favorite? You have a lot of great stuff going on. Do you have a favorite? >> I think that my favorite is probably the City on a Cloud Innovation Challenge which is something we've done every year for the last four years. And we really went and asked cities, "Tell us what you're doing with our technology." Because we weren't sure what they were doing cause it's not very expensive for cities to run on us. We found that they were doing incredible things. They were doing water monitoring in their cities to help improve the quality of life of their citizens. They were delivering education more effectively. They were helping their transportation run in a more effective way. New York City Department of Transportation was doing really cool citizen facing apps to help them manage their transportation challenges and also cities all around the world. We've had people put in things about garbage management in Jerusalem and about lighting management in a Japanese city. We've had all kinds of really interesting stories come out and I just love hearing what the customers are doing and this year we added a Dream Big category where we said, "If you had the money, what would "you do with technology in your city?" and we've been really thrilled to be able to offer grants and fund some of those things to help cities get started. >> That's awesome. Not only is it engaging for them to engage with you through the program, it's inspirational. The use cases are everything from IOT to every computer. >> Yeah and we've also had partners submit as well, and we've learned about things like parking applications that cities are putting in place to help their citizens find better parking or all kinds of really interesting. How to keep track of the tree and do a tree census in their cities. Things like that. >> Maybe I'll borrow that and give you credit for it as a Cube question. What would you do if you had unlimited money? >> Exactly. (John laughs) Well the great part is that most of the cities find out that they can do what they want to do with very little money. They think it's going to be millions of dollars and then they realize, "Oh my gosh, it's going to be hard "for me to spend this 50 thousand dollar grant "because it doesn't cost that much." >> That's awesome and you got a big event coming up in June. Public Sector Summit again. Any preview on that? Any thing you can share? I'm sure it's a lot of things up in the air. >> A lot of really cool things. We are very excited to have some of our great customers on stage again. We're also this year going to have a pre day where we're going to feature Air and Space workloads on AWS. So that's going to be really interesting. I think we're going to have Blue Origin there and we're going to talk about what it's going to take to get to the next planet. >> And certainly that's beautiful for Cloud and also a huge robotics trend. People love to geek out on space related stuff. >> Yep. >> Awesome. Well the Cube will be there. Any numbers? Is it going to be the same location? >> It's going to be the same location at the Convention Center June 20th and 21st. We're going to have boot camps and certification labs and all that kind of stuff. I expect we'll grow again, so definitely more than seven thousand people. >> How big was the first one? >> Oh my gosh, the first one was in a little hotel conference room. I think there were a hundred and 50 people there. (Tricia laughs) >> Sounds like Reinvent happening all over again. We've seen this movie before. >> (Tricia) Yep. >> Tricia, thanks so much for coming on the Cube here. In the headquarters of Amazon Web Services Public Sector Summit in Washington DC. We're in Arlington, Virginia, right next to the nation's capital. I'm John Furrier. Thanks for watching. (techno music)

>> Live from Washington, D.C., it's theCUBE, covering AWS Public Sector Summit, 2017. Brought to you by Amazon web services and it's partner, Ecosystem. >> And welcome to our nation's capitol. Here we are in Washington, D.C. TheCUBE coming live from the Walter Washington Convention Center, here for AWS Private Sector Summit. It's our maiden voyage with the Public Sector so looking forward to this. John Walsh and John Furrier, glad to have you along for the ride, John, this is going to be a good week. >> Hey, it'll be fun. >> A good couple of days. John Galvin joins us. He is the Vice President and General Manager of the Public Sector Intel. John, thank you for being with us here on theCUBE; glad to have you. >> It's a pleasure to be here, thank you. >> Tell us a little bit first off, about your portfolio. >> Sure. >> I understand you cover not only United States, but you have a global footprint as well. Touch base a little bit with our audience with what you're up to. >> Yeah, absolutely. So first of all, I have to put it in perspective for everyone. People know us as a micro-processor company. They don't always attribute us to going out and calling on government, or education decision makers. So we really act as a trusted advisor. We don't sell directly to government or to education entities, and I have sales people, or account exec's, around the world who are going in and meeting with ministers of education or ministers of ICT. Sometimes it's a school superintendent or a district superintendent, but, overall, what we're talking about is digital transformation and how technology can be used to advance government or advance education. And sometimes at a national level, could be at a state level, could be at a district level. >> Well, John and I were talking in our open segment just a little bit ago, about maybe a glacial pace isn't fair to say about how government had that reputation, obviously, for many years about being, maybe, reluctant. >> Right. >> To embrace change. What do you see now in that space? Is there this shift going on, that there's more of an embracing of technology? And of more entrepreneurial kind of spirit within the operation of government? >> Yeah, absolutely. It is happening so quickly. The categorization of government moving slowly is absolutely true. Education the same. But now wherever I go around the world, everyone is talking about transformation and they're starting to launch projects that might be a pilot or a proof of concept, but they're getting started. The challenge is when you talk about digital transformation it is so big so it becomes difficult for governments to really get their hands around it, and what are they going to do to improve citizens quality of life. Is that going to be a healthcare initiative? Is it going to be a transportation initiative? Sometimes it's an education initiative; and we're seeing them all. I think what is causing it to advance now is they see proof-points that it works. That by making those investments it really is changing the quality of life for people. And in emerging markets they don't have existing infrastructure that they have to tear out and replace. And some of the mature markets, it's how do you actually breakdown those silos. >> Well, John, I'm really glad you came on. Intel, in my opinion, I've been following Intel for many years, recently, has been pretty amazing. But you guys have always been a bellwether for trends, I'd say, five to 10 years out. I mean, look at everything that Intel's done with technology You have that five to 10 year stair instantly in what you're proposing. We've been seeing a lot of the AI commercials with Intel, what is the Public Sector trends that intersect with the vision of Intel? >> Well, you're absolutely right. If you look at what Intel does we're similar to the auto industry. It takes us five to six years to produce our next processor, and so we have to be looking that far out of what are the use cases, and really, what are those technological boundaries that we're going to either cross or break? And AI is absolutely the conversation today. It's sort of around artificial intelligence and it's no longer science fiction. We're not talking about it in the future; we're now talking about how can we use it today? Machine learning big, big topic, and not just the role that Intel plays, but companies like AWS; big players, in terms of how that actually comes to life in your home. It's not just how it's going to come to life in a big government institution or a big enterprise. >> And the Public Sector landscape, for the folks that are watching some know the Public Sector, what is the Public Sector? Because it's not the government. There's education, there's health, so what's the layout. How do you categorically look at it? How should people think about Public Sector? Not just GovCloud because there's a GovCloud, but is there a Public Sector cloud? I mean, how should people think about it? >> Yeah, great question. I work as part of a group at Intel that are all verticals. There's a healthcare team, there's a transportation team, there's an energy team. Public Sector is completely different because we're all of those things. We're working on transportation projects, we're working big healthcare projects, and so Public Sector you have to look at in the biggest sense where it's not just a federal presence but it is a state presence, it's a city presence or a county presence. And so our opportunity is to be able to connect all of those things, and that is what I think is so exciting about the transformation that is taking place right now is for that vision to be realized those silos really need to be broken. You know, you're going to hear comments over the next couple of days about forming a data lake. Which is bringing in all of those data streams into a single spot so that you can apply analytics and be able to get to insights that we've never been able to get to before. >> So how do you do that if you talk about municipality levels, state levels, federal levels, different operating systems, different processes, different procedures? And all great resources, how do you pull all that together and make that an asset instead of a morass? >> Well, in that question you just captured how big this opportunity is, and the way that we do it is we work with our ecosystem partners. The strength that Intel has when we enter into those conversations is we work with everyone. We work with the big cloud providers, we work with all the different operating system providers. We're not only with the computer companies that are our partners and our customers, but we're working now with internet and think companies, and so we have the ability to now work across that ecosystem to start pulling all of those pieces together. The heart of your question though is that those are all different systems that have been built over time. And if you look at what's been happening in enterprise over the past 10 years is CIO's and CTO's at the enterprise levels have been breaking down those silos and moving more to single systems and big data streams. And now that's what's happening with in the Public Sector is that data has to come together. >> John, talk about the collaboration between Intel and AWS and what is going on with you guys, how you guys are working together, and what's the impact in serving Public Sector customers? >> Well, we have had a great partnership with AWS from the beginning. (audio cuts out) (audio cuts out) That's going to take on this bigger vision is going to have a cloud discussion. There will still be things that they're going to be doing on premise, but it's most likely going to be a hybrid environment. And so with AWS we really have the opportunity to have a bigger discussion, where they can really have that cloud discussion and even some of the analytics layer. They're also doing more at an IOT perspective; we're able to join that conversation in terms of how our technology really plays into it. But I think the other thing we're able to do with AWS is really look for innovators. We're able to identify either those small companies, or even some of the cities are doing some really great things. And then because of their global footprint and our global footprint we can share that pretty broadly. >> And ecosystem's critical. You guys, Intel's always been ecosystem friendly company. With that in mind I got to ask you the question that everyone's talking about, and certainly, we're covering Mobile World Congress this year in Barcelona. And you couldn't go anywhere without hearing 5G and these new phones that are coming out. And then under the hood network transformation, you're hearing about software to find networking, machine learning, AI a lot of things that you guys are talking about. So the question for you is Smart Cities. It is a really, really hot opportunity just to even think about the concept of what a Smart City entails. I mean, here in D.C., like other cities, they have bicycles people can take out and ride around. That's a smart city, that's a cool service. But now you bring digital all to it. Imagine, Air B&B, you've got Uber, you've got Lift you've got all kinds of digital services, digital experiences. This is a government, this is a Public Sector issue. This is an interesting one. How is Intel's view on Smart Cities, how do you see that rolling out? >> First of all, we're very excited about what's happening within Smart Cities, and to the beginning of your question we think 5G is going to be an accelerant. It's going to cause it to happen even faster than it's happening now. What's interesting about Smart City is that it really does take a lot of different formats. And so we see cities who are really focused on public security and safety. We have examples whether it's Singapore, London of how they're now capturing new data with the cameras that they put up, and can do real-time analytics on it using AI and machine learning. So it's not that they just have all of these data streams, but they're doing real-time analysis of the data stream to be able to identify potential threats. But we also have examples where we're seeing cities invest in new technology to, essentially, replace what are the old ways of us being able to communicate and engage with the government. And that could be as simple as there's new information that's available to us. Or as they're collecting all these data streams they're making that data public and available for innovation, and so entrepreneurs now have the ability to also build solutions on those data streams. It's an incredibly exciting time. >> I mean, it's mind boggling to just think about how we live our lives in our cities. I can call the police department, the fire department, call for services in the analog world. Imagine video chat. Is that going to go to the certain departments? So how people engage, which side of the street do the cars drive on, who decides all that? And this is kind of how big this is. It's mind blowing. >> Well, it is big, and I'm going to answer that in two ways. Yes, the way that we did things before is changing and it's changing rapidly. To your 911 reference, I don't know, does it have to be a video engagement? Or through video are we actually capturing real-time that there's an incident that the fire department or an ambulance or police need to be dispatched. Where no phone call actually needs to be made. >> Real-time analytics. >> Yeah. >> Predicted, prescriptive analytics could come to the table. >> Yeah, absolutely. And so we're already seeing examples of that, where that's happening today. What we're not seeing happening at scale, but I think we will see it happening at scale, all of those early adopters they had to figure it out on their own. But now we have blueprints, we have frameworks that we can share with other cities where they will be able to do it much more quickly. >> All right, what project really stands out for you, in all the things you're looking at, in the Public Sector because there's so much going on that you guys are doing I mean, props to Intel love what they're doing. The AI mission really puts a vision in place but also it's reality now with machine learning. What projects stand out for you that you see as real innovative, collaborative between Intel and AWS? >> Yeah, so we did a project with AWS where we, essentially, created a competition for new ideas to be able to come forward, and out of that what we've seen is some cities really doing some innovative things, just taking those first steps. What that does for us is it gives us a broader view than we would be able to get on our own. But some of that's basic. Say exciting stuff, we have exciting examples, the kiosks on the street corners in New York are an exciting example. What we see some of the universities doing, I think, is really exciting. Universities around the world have an issue with student retention. Where they just experience high drop out rates at the end of the freshman year and the end of the sophomore year. The challenge is how do you identify a student at risk? Well, automate attendance and you can now see are students actually attending classes. Or are they skipping class? Start using sensors and beacons on the campus and you can actually detect what those student patterns are and you just might need to have a counselor step in or a professor step in and really sit down with them and walk them through it. >> Use the IOT example, humans are things too, right? I mean, wearables, they got all kinds of sensors that could be even on-person device too. Absolutely, we have been working with the University of Texas Arlington, exactly, on that project. Through a sensor you can actually capture the emotional state of student. Are they highly stressed? And should that be, again, an environment where-- >> Explain how. How does that work? >> Through body temperature and -- >> So biometrics being measured. >> Yeah. >> Body temperature, respiration rates, all those kinds of things. >> Mental health is a huge issue in colleges and universities around the pressure. >> You can see that idea from a health perspective, strep throat, right? >> Sure. >> It's like the freshman plague. Every freshman gets strep throat. But if you could identify anxiety as it's being formulated before it manifests itself in academic performance, you could treat that. >> Sure, and now you combine that with capturing data from the student cafeteria or dorms of what are they're eating patterns, what are they're sleeping patterns? Are they actually getting enough sleep? So you get a much more holistic view of the student. And we have to be careful here, right, because-- >> There's privacy concerns. >> Right, there's absolutely privacy and security concerns. And anyone who engages in these projects, heightened awareness of that. So it really is about quality of life and how do you create a better educational experience, not create anything that's threatening, but it becomes a much more personalized learning experience. >> The convergence and the conflicts between IOT and cloud and processing power and software, it's interesting, I was looking on prior to the show coming in I saw on your website at Intel Farmers in America. And then on Amazon's site there's a City on the Cloud. Can you take a minute and explain those projects. I think they're both Intel and AWS collaborations. Can you just take a minute to explain the City on the Cloud and the Farmers of America, what's the big aha there? >> So it's a three year project that we've been working on in collaboration with AWS, and the whole idea was for us to be able to identify some innovative ideas within the space because it is still a new area. How do we, essentially, give some of these entrepreneurs and innovative people a chance to be able to bring their idea into fruition? And so agriculture and Farmers America's a great example because that data is being collected in terms of weather patterns and how they can now, essentially, access that data to be able to plan differently what they're doing as well as better enable them to share with others what they're finding as they're making changes too. >> The farm tech has been hot on the D.C. community, certainly, in the Silicon Valley seeing people doing farm tech. Farm tech is one of those things, agriculture's a huge area that health implications too. People are interested in automating a lot of things and bringing tech there. And then also healthcare is a factor too. One of the areas is education but healthcare is another one that you guys are, what's the new thing in there that you guys are doing in healthcare? >> Yeah, we're doing quite a bit in healthcare around the world, and if you really think about it the challenge with healthcare is that your records are typically with your doctor or with your hospital. They're not always shared and they don't move with you when you travel. And so the first opportunity is how does that data actually become standardized so that it can actually be shared. But the other opportunity in healthcare is for those CTO's and CIO's to start using data very differently, to understand the patterns of what's happening within their hospitals. And you're earlier reference, John, to strep throat within a campus, how do you, essentially, start tracking that there's a trend and that there's something that you could potentially deal with much more quickly once you have the insights to it. >> All right, so take a minute as end this segment here, I want to get your thoughts on, give us a taste and showcase some of the Intel speeds and feeds, some of the tech, what's under the hood, what's coming out of Intel that's powering all of this because remember we're all driving the self-driving digital tooling out there. It's all powered by the Zeons, all kinds of cool stuff. What's the latest state-of-the-art that you got from Intel that you guys are bringing to the market in the Public Sector? >> Yeah, well, thank you for that question. I don't normally get it. >> John loves it. He's a speed and feed guy. >> To get too much feedback. Too geeky. >> Well, your earlier question was around AI and machine learning and for us that's the zonify. And if you look at the power of zonify it's, essentially, three times the teraflops of the largest super computer that existed 20 years ago, in a single processor. And so for us it's an opportunity to then really be able to advance and accelerate what's happening with artificial intelligence as well as machine learning. >> Well, it's an exciting new world. Obviously with a realm that goes healthcare to ag, to education, to government with Intel very much at the center of that. John, thanks for being with us. >> It was great to be here. >> We appreciate the time on theCUBE. We look forward to having you back. We'll continue our coverage live here from the AWS Public Sector Summit here on theCUBE. Back with more in just a bit. (upbeat music)

>> Announcer: Live from Washington, D.C., it's theCUBE, covering AWS Public Sector Summit, 2017. Brought to you by Amazon web services and it's partner, Ecosystem. >> And welcome to our nation's capitol. Here we are in Washington, D.C. TheCUBE coming live from the Walter Washington Convention Center, here for AWS Private Sector Summit. It's our maiden voyage with the Public Sector so looking forward to this. John Walsh and John Furrier, glad to have you along for the ride, John, this is going to be a good week. >> Hey, it'll be fun. >> A good couple of days. John Galvin joins us. He is the Vice President and General Manager of the Public Sector Intel. John, thank you for being with us here on theCUBE; glad to have you. >> It's a pleasure to be here, thank you. >> Tell us a little bit first off, about your portfolio. >> J.Galvin: Sure. >> I understand you cover not only United States, but you have a global footprint as well. Touch base a little bit with our audience with what you're up to. >> Yeah, absolutely. So first of all, I have to put it in perspective for everyone. People know us as a micro-processor company. They don't always attribute us to going out and calling on government, or education decision makers. So we really act as a trusted advisor. We don't sell directly to government or to education entities, and I have sales people, or account exec's, around the world who are going in and meeting with ministers of education or ministers of ICT. Sometimes it's a school superintendent or a district superintendent, but, overall, what we're talking about is digital transformation and how technology can be used to advance government or advance education. And sometimes at a national level, could be at a state level, could be at a district level. >> Well, John and I were talking in our open segment just a little bit ago, about maybe a glacial pace isn't fair to say about how government had that reputation, obviously, for many years about being, maybe, reluctant. >> Right. >> To embrace change. What do you see now in that space? Is there this shift going on, that there's more of an embracing of technology? And of more entrepreneurial kind of spirit within the operation of government? >> Yeah, absolutely. It is happening so quickly. The categorization of government moving slowly is absolutely true. Education the same. But now wherever I go around the world, everyone is talking about transformation and they're starting to launch projects that might be a pilot or a proof of concept, but they're getting started. The challenge is when you talk about digital transformation it is so big so it becomes difficult for governments to really get their hands around it, and what are they going to do to improve citizens quality of life. Is that going to be a healthcare initiative? Is it going to be a transportation initiative? Sometimes it's an education initiative; and we're seeing them all. I think what is causing it to advance now is they see proof-points that it works. That by making those investments it really is changing the quality of life for people. And in emerging markets they don't have existing infrastructure that they have to tear out and replace. And some of the mature markets, it's how do you actually breakdown those silos. >> Well, John, I'm really glad you came on. Intel, in my opinion, I've been following Intel for many years, recently, has been pretty amazing. But you guys have always been a bellwether for trends, I'd say, five to 10 years out. I mean, look at everything that Intel's done with technology You have that five to 10 year stair instantly in what you're proposing. We've been seeing a lot of the AI commercials with Intel, what is the Public Sector trends that intersect with the vision of Intel? >> Well, you're absolutely right. If you look at what Intel does we're similar to the auto industry. It takes us five to six years to produce our next processor, and so we have to be looking that far out of what are the use cases, and really, what are those technological boundaries that we're going to either cross or break? And AI is absolutely the conversation today. It's sort of around artificial intelligence and it's no longer science fiction. We're not talking about it in the future; we're now talking about how can we use it today? Machine learning big, big topic, and not just the role that Intel plays, but companies like AWS; big players, in terms of how that actually comes to life in your home. It's not just how it's going to come to life in a big government institution or a big enterprise. >> And the Public Sector landscape, for the folks that are watching some know the Public Sector, what is the Public Sector? Because it's not the government. There's education, there's health, so what's the layout. How do you categorically look at it? How should people think about Public Sector? Not just GovCloud because there's a GovCloud, but is there a Public Sector cloud? I mean, how should people think about it? >> Yeah, great question. I work as part of a group at Intel that are all verticals. There's a healthcare team, there's a transportation team, there's an energy team. Public Sector is completely different because we're all of those things. We're working on transportation projects, we're working big healthcare projects, and so Public Sector you have to look at in the biggest sense where it's not just a federal presence but it is a state presence, it's a city presence or a county presence. And so our opportunity is to be able to connect all of those things, and that is what I think is so exciting about the transformation that is taking place right now is for that vision to be realized those silos really need to be broken. You know, you're going to hear comments over the next couple of days about forming a data lake. Which is bringing in all of those data streams into a single spot so that you can apply analytics and be able to get to insights that we've never been able to get to before. >> So how do you do that if you talk about municipality levels, state levels, federal levels, different operating systems, different processes, different procedures? And all great resources, how do you pull all that together and make that an asset instead of a morass? >> Well, in that question you just captured how big this opportunity is, and the way that we do it is we work with our ecosystem partners. The strength that Intel has when we enter into those conversations is we work with everyone. We work with the big cloud providers, we work with all the different operating system providers. We're not only with the computer companies that are our partners and our customers, but we're working now with internet and think companies, and so we have the ability to now work across that ecosystem to start pulling all of those pieces together. The heart of your question though is that those are all different systems that have been built over time. And if you look at what's been happening in enterprise over the past 10 years is CIO's and CTO's at the enterprise levels have been breaking down those silos and moving more to single systems and big data streams. And now that's what's happening with in the Public Sector is that data has to come together. >> John, talk about the collaboration between Intel and AWS and what is going on with you guys, how you guys are working together, and what's the impact in serving Public Sector customers? >> Well, we have had a great partnership with AWS from the beginning. (audio cuts out) (audio cuts out) That's going to take on this bigger vision is going to have a cloud discussion. There will still be things that they're going to be doing on premise, but it's most likely going to be a hybrid environment. And so with AWS we really have the opportunity to have a bigger discussion, where they can really have that cloud discussion and even some of the analytics layer. They're also doing more at an IOT perspective; we're able to join that conversation in terms of how our technology really plays into it. But I think the other thing we're able to do with AWS is really look for innovators. We're able to identify either those small companies, or even some of the cities are doing some really great things. And then because of their global footprint and our global footprint we can share that pretty broadly. >> And ecosystem's critical. You guys, Intel's always been ecosystem friendly company. With that in mind I got to ask you the question that everyone's talking about, and certainly, we're covering Mobile World Congress this year in Barcelona. And you couldn't go anywhere without hearing 5G and these new phones that are coming out. And then under the hood network transformation, you're hearing about software to find networking, machine learning, AI a lot of things that you guys are talking about. So the question for you is Smart Cities. It is a really, really hot opportunity just to even think about the concept of what a Smart City entails. I mean, here in D.C., like other cities, they have bicycles people can take out and ride around. That's a smart city, that's a cool service. But now you bring digital all to it. Imagine, Air B&B, you've got Uber, you've got Lift you've got all kinds of digital services, digital experiences. This is a government, this is a Public Sector issue. This is an interesting one. How is Intel's view on Smart Cities, how do you see that rolling out? >> First of all, we're very excited about what's happening within Smart Cities, and to the beginning of your question we think 5G is going to be an accelerant. It's going to cause it to happen even faster than it's happening now. What's interesting about Smart City is that it really does take a lot of different formats. And so we see cities who are really focused on public security and safety. We have examples whether it's Singapore, London of how they're now capturing new data with the cameras that they put up, and can do real-time analytics on it using AI and machine learning. So it's not that they just have all of these data streams, but they're doing real-time analysis of the data stream to be able to identify potential threats. But we also have examples where we're seeing cities invest in new technology to, essentially, replace what are the old ways of us being able to communicate and engage with the government. And that could be as simple as there's new information that's available to us. Or as they're collecting all these data streams they're making that data public and available for innovation, and so entrepreneurs now have the ability to also build solutions on those data streams. It's an incredibly exciting time. >> I mean, it's mind boggling to just think about how we live our lives in our cities. I can call the police department, the fire department, call for services in the analog world. Imagine video chat. Is that going to go to the certain departments? So how people engage, which side of the street do the cars drive on, who decides all that? And this is kind of how big this is. It's mind blowing. >> Well, it is big, and I'm going to answer that in two ways. Yes, the way that we did things before is changing and it's changing rapidly. To your 911 reference, I don't know, does it have to be a video engagement? Or through video are we actually capturing real-time that there's an incident that the fire department or an ambulance or police need to be dispatched. Where no phone call actually needs to be made. >> J.Furrier: Real-time analytics. >> Yeah. >> Predicted, prescriptive analytics could come to the table. >> Yeah, absolutely. And so we're already seeing examples of that, where that's happening today. What we're not seeing happening at scale, but I think we will see it happening at scale, all of those early adopters they had to figure it out on their own. But now we have blueprints, we have frameworks that we can share with other cities where they will be able to do it much more quickly. >> All right, what project really stands out for you, in all the things you're looking at, in the Public Sector because there's so much going on that you guys are doing I mean, props to Intel love what they're doing. The AI mission really puts a vision in place but also it's reality now with machine learning. What projects stand out for you that you see as real innovative, collaborative between Intel and AWS? >> Yeah, so we did a project with AWS where we, essentially, created a competition for new ideas to be able to come forward, and out of that what we've seen is some cities really doing some innovative things, just taking those first steps. What that does for us is it gives us a broader view than we would be able to get on our own. But some of that's basic. Say exciting stuff, we have exciting examples, the kiosks on the street corners in New York are an exciting example. What we see some of the universities doing, I think, is really exciting. Universities around the world have an issue with student retention. Where they just experience high drop out rates at the end of the freshman year and the end of the sophomore year. The challenge is how do you identify a student at risk? Well, automate attendance and you can now see are students actually attending classes. Or are they skipping class? Start using sensors and beacons on the campus and you can actually detect what those student patterns are and you just might need to have a counselor step in or a professor step in and really sit down with them and walk them through it. >> Use the IOT example, humans are things too, right? I mean, wearables, they got all kinds of sensors that could be even on-person device too. Absolutely, we have been working with the University of Texas Arlington, exactly, on that project. Through a sensor you can actually capture the emotional state of student. Are they highly stressed? And should that be, again, an environment where-- >> Explain how. How does that work? >> Through body temperature and -- >> So biometrics being measured. >> Yeah. >> Body temperature, respiration rates, all those kinds of things. >> Mental health is a huge issue in colleges and universities around the pressure. >> You can see that idea from a health perspective, strep throat, right? >> Sure. >> It's like the freshman plague. Every freshman gets strep throat. But if you could identify anxiety as it's being formulated before it manifests itself in academic performance, you could treat that. >> Sure, and now you combine that with capturing data from the student cafeteria or dorms of what are they're eating patterns, what are they're sleeping patterns? Are they actually getting enough sleep? So you get a much more holistic view of the student. And we have to be careful here, right, because-- >> Host: There's privacy concerns. >> Right, there's absolutely privacy and security concerns. And anyone who engages in these projects, heightened awareness of that. So it really is about quality of life and how do you create a better educational experience, not create anything that's threatening, but it becomes a much more personalized learning experience. >> The convergence and the conflicts between IOT and cloud and processing power and software, it's interesting, I was looking on prior to the show coming in I saw on your website at Intel Farmers in America. And then on Amazon's site there's a City on the Cloud. Can you take a minute and explain those projects. I think they're both Intel and AWS collaborations. Can you just take a minute to explain the City on the Cloud and the Farmers of America, what's the big aha there? >> So it's a three year project that we've been working on in collaboration with AWS, and the whole idea was for us to be able to identify some innovative ideas within the space because it is still a new area. How do we, essentially, give some of these entrepreneurs and innovative people a chance to be able to bring their idea into fruition? And so agriculture and Farmers America's a great example because that data is being collected in terms of weather patterns and how they can now, essentially, access that data to be able to plan differently what they're doing as well as better enable them to share with others what they're finding as they're making changes too. >> The farm tech has been hot on the D.C. community, certainly, in the Silicon Valley seeing people doing farm tech. Farm tech is one of those things, agriculture's a huge area that health implications too. People are interested in automating a lot of things and bringing tech there. And then also healthcare is a factor too. One of the areas is education but healthcare is another one that you guys are, what's the new thing in there that you guys are doing in healthcare? >> Yeah, we're doing quite a bit in healthcare around the world, and if you really think about it the challenge with healthcare is that your records are typically with your doctor or with your hospital. They're not always shared and they don't move with you when you travel. And so the first opportunity is how does that data actually become standardized so that it can actually be shared. But the other opportunity in healthcare is for those CTO's and CIO's to start using data very differently, to understand the patterns of what's happening within their hospitals. And you're earlier reference, John, to strep throat within a campus, how do you, essentially, start tracking that there's a trend and that there's something that you could potentially deal with much more quickly once you have the insights to it. >> All right, so take a minute as end this segment here, I want to get your thoughts on, give us a taste and showcase some of the Intel speeds and feeds, some of the tech, what's under the hood, what's coming out of Intel that's powering all of this because remember we're all driving the self-driving digital tooling out there. It's all powered by the Zeons, all kinds of cool stuff. What's the latest state-of-the-art that you got from Intel that you guys are bringing to the market in the Public Sector? >> Yeah, well, thank you for that question. I don't normally get it. >> Host: John loves it. He's a speed and feed guy. >> To get too much feedback. Too geeky. >> Well, your earlier question was around AI and machine learning and for us that's the zonify. And if you look at the power of zonify it's, essentially, three times the teraflops of the largest super computer that existed 20 years ago, in a single processor. And so for us it's an opportunity to then really be able to advance and accelerate what's happening with artificial intelligence as well as machine learning. >> Well, it's an exciting new world. Obviously with a realm that goes healthcare to ag, to education, to government with Intel very much at the center of that. John, thanks for being with us. >> It was great to be here. >> We appreciate the time on theCUBE. We look forward to having you back. We'll continue our coverage live here from the AWS Public Sector Summit here on theCUBE. Back with more in just a bit. (upbeat music)