(upbeat music) >> Narrator: From around the globe. It's The CUBE, with digital coverage of AWS public sector online, (upbeat music) brought to you by, Amazon Web Services. >> Everyone welcome back to The CUBE virtual coverage, of AWS public sector summit online. I'm John Furrier, your host of The CUBE. Normally we're in person, out on Asia-Pacific, and all the different events related to public sector. But this year we have to do it remote, and we're going to do the remote virtual CUBE, with Data Virtual Public Sector Online Summit. And we have two great guests here, about Digital Earth Africa project, Clive Charlton. Head of Solutions Architecture, Sub-Saharan Africa with AWS, Clive thanks for coming on, and Aditya Agrawal founder of D4DInsights, and also the advisor for the Digital Earth Africa project with AWS. So gentlemen, thank you for coming on. Appreciate you coming on remotely. >> Thanks for having us. >> Thank you for having us, John. >> So Clive take us through real quickly. Just take a minute to describe what is the Digital Earth Africa Project. What are the problems, that you're aiming to solve? >> Well, we're really aiming to provide, actionable data to governments, and organization around Africa, by providing satellite imagery, in an easy to use format, and doing that on the cloud, that serves countries throughout Africa. >> And just from a cloud perspective, give us a quick taste of what's going on, just with the tech, it's on Amazon. You got a little satellite action. Is there ground station involved? Give us a little bit more color around, you know, what's the scope of the project. >> Yeah, so, historically speaking you'd have to process satellite imagery down link it, and then do some heavy heavy lifting, around the processing of the data. Digital Earth Africa was built, from the experiences from Digital Earth Australia, originally developed by a Geo-sciences Australia and they use container services for Kubernetes's called Elastic Kubernetes Service to spin up virtual machines, which we are required to process the raw satellite imagery, into a format called a Cloud Optimized GeoTIFF. This format is used to store very large volumes of data in a format that's really easy to query. So, organizations can just use NHTTP get range request. Just a query part of the file, that they're interested in, which means, the results are served much, much quicker, from much, much better overall experience, under the hood, the store where the data is stored in the Amazon Simple Storage Service, which is S3, and the Metadata Index in a Relational Database Service, that runs the Open Data CUBE Library, which is allows Digital Earth Africa, to store this data in both space and time. >> It's interesting. I just did a, some interviews last week, on a symposium on space and cybersecurity, and we were talking about , the impact of satellites and GPS and just the overall infrastructure shift. And it's just another part of the edge of the network. Aditya, I want to get your thoughts on this, and your reaction to the Digital Earth, cause you're an advisor. Let's zoom out. What's the impact of people's lives? Give us a quick overview, of how you see it playing out because, explaining to someone, who doesn't know anything about the project, like, okay what is it about, and how does it actually impact people? >> Sure. So, you know, as, as Clive mentioned, I mean there's, there's definitely a, a digital infrastructure behind Digital Earth Africa, in a way that it's going to be able to serve free and open satellite data. And often the, the issue around satellite data, especially within the context of Africa, and other parts of the world is that there's a level of capacity that's required, in order to be able to use that data. But there's also all kinds of access issues, because, traditionally satellite data is heavy. There's the old model of being able to download the data and then being able to do something with it. And then often about 80% of the time, that you spend on satellite data is spent, just pre processing the data, before you can actually, do any of the fun analysis around it, that really sort of impacts the kinds of decisions and actions that you're looking for. And so that's why Digital Earth Africa. And that's why this partnership, with Amazon is a fantastic partnership, because it really allows us, to be able, to scale the approach across the entire continent, make it easy for that data to be accessed and make it easier for people to be able to use that data. The way that Digital Earth Africa is being operationalized, is that we're not just looking at it, from the perspective of, let's put another infrastructure into Africa. We want this program, and it is a program, that we want institutionalized within Africa itself. One that leverages expertise across the continent, and one that brings in organizations across the continent to really sort of take the leadership and ownership of this program as it moves forward. The idea of it is that, once you're able to have this information, being able to address issues like food security, climate change, coastal resilience, land degradation where illegal mining is, where is the water? We want to be able to do that, in a way that it's really looking at what are the national development priorities within the countries themselves, and how does it also then support regional and global frameworks like Africa's Agenda 2063 and the sustainable development goals. >> No doubt in my mind, obviously, is that huge benefits to these kinds of technologies. I want to also just ask you, as a follow up is a huge space race going on, right now, explosion of availability of satellite data. And again, more satellites going up, There's more congestion, more contention. Again, we had a big event on that cybersecurity, and the congestion issue, but, you know, satellite data was power everyone here in the United States, you want an Uber, you want Google Maps you've got your everywhere with GPS, without it, we'd be kind of like (laughing), wondering what's going on. How do we even vote these days? So certainly an impact, but there's a huge surge of availability, of the use of satellite data. How do you explain this? And what are some of the challenges, from the data side that's coming, from the Digital Earth Africa project that you guys hope to resolve? >> Sure. I mean, that's a great question. I mean, I think at one level, when you're looking at the space race right now, satellites are becoming cheaper. They're becoming more efficient. There's increased technology now, on the types of sensors that you can deploy. There's companies like Planet, that are really revolutionizing how even small countries are able to deploy their own satellites, and the constellation that they're putting forward, in terms of the frequency by which, you're able to get data, for any given part of the earth on a daily basis, coupled with that. And you know, this is really sort of in climbs per view, but the cloud computing capabilities, and overall computing power that you have today, then what you had 10 years, 15 years ago is so vastly different. What used to take weeks to do before, for any kind of analysis on satellite data, which is heavy data now takes, you know, minutes or hours to do. So when you put all that together, again, you know, I think it really speaks, to the power of this partnership with Amazon and really, what that means, for how this data is going to be delivered to Africa, because it really allows for the scalability, for anything that happens through Digital Earth Africa. And so, for example, one of the approaches, that we're taking us, we identify what the priorities, and needs are at the country level. Let's say that it's a land degradation, there's often common issues across countries. And so when we can take one particular issue, tested with additional countries, and then we can scale it across the whole continent because the infrastructure is there for the whole continent. >> Yeah. That's a great point. So many storylines here. We'll get to climb in a second on sustainability. And I want to talk about the Open Data Platform. Obviously, open data, having data is one thing, but now train data, and having more trusted data becomes a huge issue. Again, I want to dig into that for a second, but, Clive, I want to ask you, first, what region are we in? I mean, is this, you guys actually have a great, first of all, we've been covering the region expansion from Bahrain all the way, as moves around the world, probably soon in space. There'll be a region Amazon space station region probably, someday in the future but, what region are you running the project out of? Can you, and why is it important? Can you share the update on the regional piece? >> Well, we're very pleased, that Digital Earth Africa, is using the new Africa region in Cape Town, in South Africa, which was launched in April of this year. It's one of 24 regions around the world and we have another three new regions announced, what this means for users of Digital Earth Africa is, they're able to use region closest to them, which gives them the best user experience. It's the, it's the quickest connection for them. But more importantly, we also wanted to use, an African solution, for African people and using the Africa region in Cape Town, really aligned with that thinking. >> So, localization on the data, latency, all that stuff is kind of within the region, within country here. Right? >> That's right, Yeah >> And why is that important? Is there any other benefits? Why should someone care? Obviously, this failover option, I mean, in any other countries to go to, but why is having something, in that region important for this project? >> Well, it comes down to latency for the, for the users. So, being as close to the data, as possible is, is really important, for the user experience. Especially when you're looking at large data sets, and big queries. You don't want to be, you don't want to be waiting a long lag time, for that query to go backwards and forwards, between the user and the region. So, having the data, in the Africa region in Cape Town is important. >> So it's about the region, I love when these new regions rollout from Amazon, Cause obviously it's this huge buildup CapEx, in this huge data center servers and everything. Sustainability is a huge part of the story. How does the sustainability piece fit into the, the data initiative supported in Africa? Can you share some updates on that? >> Well, this, this project is also closely aligned with the, Amazon Sustainability Data Initiative, which looks to accelerate sustainability research. and innovation, really by minimizing the cost, and the time required to acquire, and analyze large sustainability datasets. So the initiative supports innovators, and researchers with the data and tools, and, and technical experience, that they need to move sustainability, to the next level. These are public datasets and publicly available to anyone. In addition, to that, the initiative provides cloud grants to those who are interested in exploring, exploring the use of AWS technology and scalable infrastructure, to serve sustainability challenges, of this nature. >> Aditya, I want to hear your thoughts, on this comment that Clive made around latency, and certainly having a region there has great benefits. You don't need to hop on that. Everyone knows I'm a big fan of the regional model, but it brings up the issue, of what's going on in the country, from an infrastructure standpoint, a lot of mobility, a lot of edge computing. I can almost imagine that. So, so how do you see that evolving, from a business standpoint, from a project standpoint data standpoint, can you comment and react to that edge, edge angle? >> Yeah, I mean, I think, I think that, the value of an open data infrastructure, is that, you want to use that infrastructure, to create a whole data ecosystem type of an approach. And so, from the perspective of being able. to make this data readily accessible, making it efficiently accessible, and really being able to bring industry, into that ecosystem, because of what we really want as we, as the program matures, is for this program, to then also instigate the development of new businesses, entrepreneurship, really get the young people across Africa, which has the largest proportion of young people, anywhere in the world, to be engaged around what you can do, with satellite data, and the types of businesses that can be developed around it. And, so, by having all of our data reside in Cape Town on the continent there's obviously technical benefits, to that in terms of, being able to apply the data, and create new businesses. There's also a, a perception in the fact that, the data that Digital Earth Africa is serving, is in Africa and residing in Africa which does have, which does go a long way. >> Yeah. And that's a huge value. And I can just imagine the creativity cloud, if you can comment on this open data platform idea, because some of the commentary that we've been having on The CUBE here, and all around the world is data's great. We all know we're living with a lot of data, you starting to see that, the commoditization and horizontal scalability of data, is one thing, but to put it into software defined environments, whether, it's an entrepreneur coding up an app, or doing something to share some transparency, around some initiatives going on within the region or on the continent, it's about trusted data. It's about sharing algorithms. AI is also a consumer of data, machines consume data. So, it's not just the technology data, is part of this new normal. What's this Open Data Platform, And how does that translate into value in your opinion? >> I, yeah. And you know, when, when data is shared on, on AWS anyone can analyze it and build services on top of it, using a broad range of compute and data to data analytics products, you know, things like Amazon EC2, or Lambda, which is all serverless compute, to things like Amazon Elastic MapReduce, for complex extract and transformation processes, but sharing data in the cloud, lets users, spend more time on the data analysis, rather than, than the data acquisition. And researchers can analyze data shared on AWS, without needing to pay to store their own copy, which is what the Open Data Platform provides. You only have to pay for the compute that you use and you don't need to purchase storage, to start a new project. So the registry of the open data on AWS, makes it easy to find those datasets, but, by making them publicly available through AWS services. And when you share, share your data on AWS, you make it available, to a large and growing community of developers, and startups, and enterprises, all around the world. And you know, and we've been talking particularly around, around Africa. >> Yeah. So it's an open source model, basically, it's free. You don't, it doesn't cost you anything probably, just started maybe down the road, if it gets heavy, maybe to charging but the most part easy for scientists to use and then you're leveraging it into the open, contributing back. Is that right? >> Yep. That's right. To me getting, getting researchers, and startups, and organizations growing quickly, without having to worry about the data acquisition, they can just get going and start building. >> I want to get back to Aditya, on this skill gap issue, because you brought up something that, I thought was really cool. People are going to start building apps. I'm going to start to see more innovation. What are the needs out there? Because we're seeing a huge onboarding of new talent, young talent, people rescaling from existing jobs, certainly COVID accelerated, people looking for more different kinds of work. I'm sure there's a lot of (laughing) demand to, to do some innovative things. The question I always get, and want to get your reaction is, what are the skills needed to, to get involved, to one contribute, but also benefit from it, whether it's the data satellite, data or just how to get involved skill-wise >> Sure. >> Yes. >> Yeah. So most recently we've created a six week training course. That's really kind of taken users from understanding, the basics of Earth Observation Data, to how to work, with Python, to how to create their own Jupyter notebooks, and their own Use cases. And so there's a, there's a wide sort of range of skill sets, that are required depending on who you are because, effectively, what we want to be able to do is get everyone from, kind of the technical user, that might have some remote sensing background to the developer, to the policy maker, and decision maker, to understand the value of this infrastructure, whether you're the one who's actually analyzing the data. If you're the one who's developing new applications, or you're taking that information from a managerial or policy level discussion to actually deliver the action and sort of impact that you're looking for. And so, you know, in, in that regard, we're working with ITC in the Netherlands and again, with institutions across Africa, that already have a mandate, and expertise in this particular area, to create a holistic capacity development program, that will address all of those different factors. >> So I guess the follow up question I want to have is, how do you ensure the priorities of Africa are addressed, as part of this program? >> Yeah, so, we are, we've created a governance model, that really is both top down, and bottom up. At the bottom up level, We have a technical advisory committee, that has over 15 institutions, many of which are based across Africa, that really have a good understanding of the needs, the priorities, and the mandate for how to work with countries. And at the top down level, we're developing a governing board, that will be inclusive, of the key continental level institutions, that really provide the political buy-in, the sustainability of the program, and really provide overall guidance. And within that, we're also creating an operational models, such that these institutions, that do have the capacity to support the program, they're actually the ones, who are also going to be supporting, the implementation of the program itself. >> And there's been some United Nations, sustained development projects all kinds of government involvement, around making sure certain things would happen, within the country. Can you just share, some of the highlights, or some of the key initiatives, that are going on, that you're supporting, to make it a better, better world? >> Yeah. So this is, this program is very closely aligned to a sustainable development agenda. And so looking after, looking developing methods, that really address, the sustainable development goals as one facet, in Africa, there's another program looking overall, overall national development priorities and sustainability called the Agenda 2063. And really like, I think what it really comes down to this, this wouldn't be happening, without the country level involvement themselves. So, this started with five countries, originally, Senegal, Ghana, Kenya, Tanzania, and the government of Kenya itself, has really been, a kind of a founding partner for, how Digital Earth Africa and it's predecessor of Africa Regional Data Cube, came to be. And so without high level support, and political buying within those governments, I mean, it's really because of that. That's why we're, we're where we are. >> I need you to thank you for coming on and sharing that insight. Clive will give you the final word, for the folks watching Digital Earth Africa, processes, petabytes of data. I mean the satellite data as well, huge, you mentioned it's a new region. You're running Kubernetes, Elastic Kubernetes Service, making containers easy to use, pay as you go. So you get cutting edge, take the one minute to, to share why this region's cutting edge. Does it have the scale of other regions? What should they know about AWS, in Cape Town, for Africa's new region? Take a minute to, to put plugin. >> Yeah, thank you for that, John. So all regions are built in the, in the same way, all around the world. So they're built for redundancy and reliability. They typically have a minimum of three, what we call Availability Zones. And each one is a contains a, a cluster of, of data centers, and all interconnected with fast fiber. So, you know, you can survive, you know, a failure with with no impact to your services. And the Cape Town region is built in exactly the same the same way, we have most of the services available in the, in the Cape Town region, like most other regions. So, as a user of AWS, you, you can have the confidence that, You can deploy your services and workloads, into AWS and run it in the same in the same way, with the same kind of speed, and the same kind of support, and infrastructure that's backing any region, anywhere else in the world. >> Well great. Thanks for that plug, Aditya, thank you for your insight. And again, innovation follows cloud computing, whether you're building on top of it as a startup a government or enterprise, or the big society better, in this case, the Digital Earth Africa project. Great. A great story. Thank you for sharing. I appreciate it. >> Thank you for having us. >> Thank you for having us, John >> I'm John Furrier with, The CUBE, virtual remote, not in person this year. I hope to see you next time in person. Thanks for watching. (upbeat music) (upbeat music decreases)

>>all right, We're five minutes after the hour. That's all aboard. Who's coming aboard? Welcome everyone to the tutorial track for our launchpad of them. So for the next couple of hours, we've got a SYRIZA videos and experts on hand to answer questions about our new product, Doctor Enterprise Container Cloud. Before we jump into the videos and the technology, I just want to introduce myself and my other emcee for the session. I'm Bill Milks. I run curriculum development for Mirant us on. And >>I'm Bruce Basil Matthews. I'm the Western regional Solutions architect for Moran Tissue esa and welcome to everyone to this lovely launchpad oven event. >>We're lucky to have you with us proof. At least somebody on the call knows something about your enterprise Computer club. Um, speaking of people that know about Dr Enterprise Container Cloud, make sure that you've got a window open to the chat for this session. We've got a number of our engineers available and on hand to answer your questions live as we go through these videos and disgusting problem. So that's us, I guess, for Dr Enterprise Container Cloud, this is Mirant asses brand new product for bootstrapping Doctor Enterprise Kubernetes clusters at scale Anything. The airport Abu's? >>No, just that I think that we're trying Thio. Uh, let's see. Hold on. I think that we're trying Teoh give you a foundation against which to give this stuff a go yourself. And that's really the key to this thing is to provide some, you know, many training and education in a very condensed period. So, >>yeah, that's exactly what you're going to see. The SYRIZA videos we have today. We're going to focus on your first steps with Dr Enterprise Container Cloud from installing it to bootstrapping your regional child clusters so that by the end of the tutorial content today, you're gonna be prepared to spin up your first documentary prize clusters using documented prize container class. So just a little bit of logistics for the session. We're going to run through these tutorials twice. We're gonna do one run through starting seven minutes ago up until I guess it will be ten fifteen Pacific time. Then we're gonna run through the whole thing again. So if you've got other colleagues that weren't able to join right at the top of the hour and would like to jump in from the beginning, ten. Fifteen Pacific time. We're gonna do the whole thing over again. So if you want to see the videos twice, you got public friends and colleagues that, you know you wanna pull in for a second chance to see this stuff, we're gonna do it all. All twice. Yeah, this session. Any any logistics I should add, Bruce that No, >>I think that's that's pretty much what we had to nail down here. But let's zoom dash into those, uh, feature films. >>Let's do Edmonds. And like I said, don't be shy. Feel free to ask questions in the chat or engineers and boosting myself are standing by to answer your questions. So let me just tee up the first video here and walk their cost. Yeah. Mhm. Yes. Sorry. And here we go. So our first video here is gonna be about installing the Doctor Enterprise Container Club Management cluster. So I like to think of the management cluster as like your mothership, right? This is what you're gonna use to deploy all those little child clusters that you're gonna use is like, Come on it as clusters downstream. So the management costs was always our first step. Let's jump in there >>now. We have to give this brief little pause >>with no good day video. Focus for this demo will be the initial bootstrap of the management cluster in the first regional clusters to support AWS deployments. The management cluster provides the core functionality, including identity management, authentication, infantry release version. The regional cluster provides the specific architecture provided in this case, eight of us and the Elsie um, components on the UCP Cluster Child cluster is the cluster or clusters being deployed and managed. The deployment is broken up into five phases. The first phase is preparing a big strap note on this dependencies on handling with download of the bridge struck tools. The second phase is obtaining America's license file. Third phase. Prepare the AWS credentials instead of the adduce environment. The fourth configuring the deployment, defining things like the machine types on the fifth phase. Run the bootstrap script and wait for the deployment to complete. Okay, so here we're sitting up the strap node, just checking that it's clean and clear and ready to go there. No credentials already set up on that particular note. Now we're just checking through AWS to make sure that the account we want to use we have the correct credentials on the correct roles set up and validating that there are no instances currently set up in easy to instance, not completely necessary, but just helps keep things clean and tidy when I am perspective. Right. So next step, we're just going to check that we can, from the bootstrap note, reach more antis, get to the repositories where the various components of the system are available. They're good. No areas here. Yeah, right now we're going to start sitting at the bootstrap note itself. So we're downloading the cars release, get get cars, script, and then next, we're going to run it. I'm in. Deploy it. Changing into that big struck folder. Just making see what's there. Right now we have no license file, so we're gonna get the license filed. Oh, okay. Get the license file through the more antis downloads site, signing up here, downloading that license file and putting it into the Carisbrook struck folder. Okay, Once we've done that, we can now go ahead with the rest of the deployment. See that the follow is there. Uh, huh? That's again checking that we can now reach E C two, which is extremely important for the deployment. Just validation steps as we move through the process. All right, The next big step is valid in all of our AWS credentials. So the first thing is, we need those route credentials which we're going to export on the command line. This is to create the necessary bootstrap user on AWS credentials for the completion off the deployment we're now running an AWS policy create. So it is part of that is creating our Food trucks script, creating the mystery policy files on top of AWS, Just generally preparing the environment using a cloud formation script you'll see in a second will give a new policy confirmations just waiting for it to complete. Yeah, and there is done. It's gonna have a look at the AWS console. You can see that we're creative completed. Now we can go and get the credentials that we created Today I am console. Go to that new user that's being created. We'll go to the section on security credentials and creating new keys. Download that information media Access key I D and the secret access key. We went, Yeah, usually then exported on the command line. Okay. Couple of things to Notre. Ensure that you're using the correct AWS region on ensure that in the conflict file you put the correct Am I in for that region? I'm sure you have it together in a second. Yes. Okay, that's the key. Secret X key. Right on. Let's kick it off. Yeah, So this process takes between thirty and forty five minutes. Handles all the AWS dependencies for you, and as we go through, the process will show you how you can track it. Andi will start to see things like the running instances being created on the west side. The first phase off this whole process happening in the background is the creation of a local kind based bootstrapped cluster on the bootstrap node that clusters then used to deploy and manage all the various instances and configurations within AWS. At the end of the process, that cluster is copied into the new cluster on AWS and then shut down that local cluster essentially moving itself over. Okay. Local clusters boat just waiting for the various objects to get ready. Standard communities objects here Okay, so we speed up this process a little bit just for demonstration purposes. Yeah. There we go. So first note is being built the best in host. Just jump box that will allow us access to the entire environment. Yeah, In a few seconds, we'll see those instances here in the US console on the right. Um, the failures that you're seeing around failed to get the I. P for Bastian is just the weight state while we wait for a W s to create the instance. Okay. Yes. Here, beauty there. Okay. Mhm. Okay. Yeah, yeah. Okay. On there. We got question. Host has been built on three instances for the management clusters have now been created. We're going through the process of preparing. Those nodes were now copying everything over. See that? The scaling up of controllers in the big Strap cluster? It's indicating that we're starting all of the controllers in the new question. Almost there. Yeah. Yeah, just waiting for key. Clark. Uh huh. Start to finish up. Yeah. No. What? Now we're shutting down control this on the local bootstrap node on preparing our I. D. C. Configuration. Fourth indication, soon as this is completed. Last phase will be to deploy stack light into the new cluster the last time Monitoring tool set way Go stack like to plan It has started. Mhm coming to the end of the deployment Mountain. Yeah, America. Final phase of the deployment. Onda, We are done. Okay, You'll see. At the end they're providing us the details of you. I log in so there's a keeper clogging. You can modify that initial default password is part of the configuration set up with one documentation way. Go Councils up way can log in. Yeah, yeah, thank you very much for watching. >>Excellent. So in that video are wonderful field CTO Shauna Vera bootstrapped up management costume for Dr Enterprise Container Cloud Bruce, where exactly does that leave us? So now we've got this management costume installed like what's next? >>So primarily the foundation for being able to deploy either regional clusters that will then allow you to support child clusters. Uh, comes into play the next piece of what we're going to show, I think with Sean O'Mara doing this is the child cluster capability, which allows you to then deploy your application services on the local cluster. That's being managed by the ah ah management cluster that we just created with the bootstrap. >>Right? So this cluster isn't yet for workloads. This is just for bootstrapping up the downstream clusters. Those or what we're gonna use for workings. >>Exactly. Yeah. And I just wanted to point out, since Sean O'Mara isn't around, toe, actually answer questions. I could listen to that guy. Read the phone book, and it would be interesting, but anyway, you can tell him I said that >>he's watching right now, Crusoe. Good. Um, cool. So and just to make sure I understood what Sean was describing their that bootstrap er knows that you, like, ran document fresh pretender Cloud from to begin with. That's actually creating a kind kubernetes deployment kubernetes and Docker deployment locally. That then hits the AWS a p i in this example that make those e c two instances, and it makes like a three manager kubernetes cluster there, and then it, like, copies itself over toe those communities managers. >>Yeah, and and that's sort of where the transition happens. You can actually see it. The output that when it says I'm pivoting, I'm pivoting from my local kind deployment of cluster AP, I toothy, uh, cluster, that's that's being created inside of AWS or, quite frankly, inside of open stack or inside of bare metal or inside of it. The targeting is, uh, abstracted. Yeah, but >>those air three environments that we're looking at right now, right? Us bare metal in open staff environments. So does that kind cluster on the bootstrap er go away afterwards. You don't need that afterwards. Yeah, that is just temporary. To get things bootstrapped, then you manage things from management cluster on aws in this example? >>Yeah. Yeah. The seed, uh, cloud that post the bootstrap is not required anymore. And there's no, uh, interplay between them after that. So that there's no dependencies on any of the clouds that get created thereafter. >>Yeah, that actually reminds me of how we bootstrapped doctor enterprise back in the day, be a temporary container that would bootstrap all the other containers. Go away. It's, uh, so sort of a similar, similar temporary transient bootstrapping model. Cool. Excellent. What will convict there? It looked like there wasn't a ton, right? It looked like you had to, like, set up some AWS parameters like credentials and region and stuff like that. But other than that, that looked like heavily script herbal like there wasn't a ton of point and click there. >>Yeah, very much so. It's pretty straightforward from a bootstrapping standpoint, The config file that that's generated the template is fairly straightforward and targeted towards of a small medium or large, um, deployment. And by editing that single file and then gathering license file and all of the things that Sean went through, um, that that it makes it fairly easy to script >>this. And if I understood correctly as well that three manager footprint for your management cluster, that's the minimum, right. We always insist on high availability for this management cluster because boy do not wanna see oh, >>right, right. And you know, there's all kinds of persistent data that needs to be available, regardless of whether one of the notes goes down or not. So we're taking care of all of that for you behind the scenes without you having toe worry about it as a developer. >>No, I think there's that's a theme that I think will come back to throughout the rest of this tutorial session today is there's a lot of there's a lot of expertise baked him to Dr Enterprise Container Cloud in terms of implementing best practices for you like the defaulter, just the best practices of how you should be managing these clusters, Miss Seymour. Examples of that is the day goes on. Any interesting questions you want to call out from the chap who's >>well, there was. Yeah, yeah, there was one that we had responded to earlier about the fact that it's a management cluster that then conduce oh, either the the regional cluster or a local child molester. The child clusters, in each case host the application services, >>right? So at this point, we've got, in some sense, like the simplest architectures for our documentary prize Container Cloud. We've got the management cluster, and we're gonna go straight with child cluster. In the next video, there's a more sophisticated architecture, which will also proper today that inserts another layer between those two regional clusters. If you need to manage regions like across a BS, reads across with these documents anything, >>yeah, that that local support for the child cluster makes it a lot easier for you to manage the individual clusters themselves and to take advantage of our observation. I'll support systems a stack light and things like that for each one of clusters locally, as opposed to having to centralize thumb >>eso. It's a couple of good questions. In the chat here, someone was asking for the instructions to do this themselves. I strongly encourage you to do so. That should be in the docks, which I think Dale helpfully thank you. Dale provided links for that's all publicly available right now. So just head on in, head on into the docks like the Dale provided here. You can follow this example yourself. All you need is a Mirante license for this and your AWS credentials. There was a question from many a hear about deploying this toe azure. Not at G. Not at this time. >>Yeah, although that is coming. That's going to be in a very near term release. >>I didn't wanna make promises for product, but I'm not too surprised that she's gonna be targeted. Very bracing. Cool. Okay. Any other thoughts on this one does. >>No, just that the fact that we're running through these individual pieces of the steps Well, I'm sure help you folks. If you go to the link that, uh, the gentleman had put into the chat, um, giving you the step by staff. Um, it makes it fairly straightforward to try this yourselves. >>E strongly encourage that, right? That's when you really start to internalize this stuff. OK, but before we move on to the next video, let's just make sure everyone has a clear picture in your mind of, like, where we are in the life cycle here creating this management cluster. Just stop me if I'm wrong. Who's creating this management cluster is like, you do that once, right? That's when your first setting up your doctor enterprise container cloud environment of system. What we're going to start seeing next is creating child clusters and this is what you're gonna be doing over and over and over again. When you need to create a cluster for this Deb team or, you know, this other team river it is that needs commodity. Doctor Enterprise clusters create these easy on half will. So this was once to set up Dr Enterprise Container Cloud Child clusters, which we're going to see next. We're gonna do over and over and over again. So let's go to that video and see just how straightforward it is to spin up a doctor enterprise cluster for work clothes as a child cluster. Undocumented brands contain >>Hello. In this demo, we will cover the deployment experience of creating a new child cluster, the scaling of the cluster and how to update the cluster. When a new version is available, we begin the process by logging onto the you I as a normal user called Mary. Let's go through the navigation of the U I so you can switch. Project Mary only has access to development. Get a list of the available projects that you have access to. What clusters have been deployed at the moment there. Nan Yes, this H Keys Associate ID for Mary into her team on the cloud credentials that allow you to create access the various clouds that you can deploy clusters to finally different releases that are available to us. We can switch from dark mode to light mode, depending on your preferences, Right? Let's now set up semester search keys for Mary so she can access the notes and machines again. Very simply, had Mississippi key give it a name, we copy and paste our public key into the upload key block. Or we can upload the key if we have the file available on our local machine. A simple process. So to create a new cluster, we define the cluster ad management nodes and add worker nodes to the cluster. Yeah, again, very simply, you go to the clusters tab. We hit the create cluster button. Give the cluster name. Yeah, Andi, select the provider. We only have access to AWS in this particular deployment, so we'll stick to AWS. What's like the region in this case? US West one release version five point seven is the current release Onda Attach. Mary's Key is necessary Key. We can then check the rest of the settings, confirming the provider Any kubernetes c r D r I p address information. We can change this. Should we wish to? We'll leave it default for now on. Then what components? A stack light I would like to deploy into my Custer. For this. I'm enabling stack light on logging on Aiken. Sit up the retention sizes Attention times on. Even at this stage, at any customer alerts for the watchdogs. E consider email alerting which I will need my smart host details and authentication details. Andi Slack Alerts. Now I'm defining the cluster. All that's happened is the cluster's been defined. I now need to add machines to that cluster. I'll begin by clicking the create machine button within the cluster definition. Oh, select manager, Select the number of machines. Three is the minimum. Select the instant size that I'd like to use from AWS and very importantly, ensure correct. Use the correct Am I for the region. I commend side on the route device size. There we go, my three machines obviously creating. I now need to add some workers to this custom. So I go through the same process this time once again, just selecting worker. I'll just add to once again, the AM is extremely important. Will fail if we don't pick the right, Am I for a boon to machine in this case and the deployment has started. We can go and check on the bold status are going back to the clusters screen on clicking on the little three dots on the right. We get the cluster info and the events, so the basic cluster info you'll see pending their listen cluster is still in the process of being built. We kick on, the events will get a list of actions that have been completed This part of the set up of the cluster. So you can see here we've created the VPC. We've created the sub nets on We've created the Internet gateway. It's unnecessary made of us and we have no warnings of the stage. Yeah, this will then run for a while. We have one minute past waken click through. We can check the status of the machine bulls as individuals so we can check the machine info, details of the machines that we've assigned, right? Mhm Onda. See any events pertaining to the machine areas like this one on normal? Yeah. Just watch asked. The community's components are waiting for the machines to start. Go back to Custer's. Okay, right. Because we're moving ahead now. We can see we have it in progress. Five minutes in new Matt Gateway on the stage. The machines have been built on assigned. I pick up the U. S. Thank you. Yeah. There we go. Machine has been created. See the event detail and the AWS. I'd for that machine. Mhm. No speeding things up a little bit. This whole process and to end takes about fifteen minutes. Run the clock forward, you'll notice is the machines continue to bold the in progress. We'll go from in progress to ready. A soon as we got ready on all three machines, the managers on both workers way could go on and we could see that now we reached the point where the cluster itself is being configured. Mhm, mhm. And then we go. Cluster has been deployed. So once the classes deployed, we can now never get around our environment. Okay, Are cooking into configure cluster We could modify their cluster. We could get the end points for alert alert manager on See here The griffon occupying and Prometheus are still building in the background but the cluster is available on you would be able to put workloads on it the stretch to download the cube conflict so that I can put workloads on it. It's again three little dots in the right for that particular cluster. If the download cube conflict give it my password, I now have the Q conflict file necessary so that I can access that cluster Mhm all right Now that the build is fully completed, we can check out cluster info on. We can see that Allow the satellite components have been built. All the storage is there, and we have access to the CPU. I So if we click into the cluster, we can access the UCP dashboard, right? Shit. Click the signing with Detroit button to use the SSO on. We give Mary's possible to use the name once again. Thing is, an unlicensed cluster way could license at this point. Or just skip it on. There. We have the UCP dashboard. You can see that has been up for a little while. We have some data on the dashboard going back to the console. We can now go to the griffon, a data just being automatically pre configured for us. We can switch and utilized a number of different dashboards that have already been instrumented within the cluster. So, for example, communities cluster information, the name spaces, deployments, nodes. Mhm. So we look at nodes. If we could get a view of the resource is utilization of Mrs Custer is very little running in it. Yeah. General dashboard of Cuba navies cluster one of this is configurable. You can modify these for your own needs, or add your own dashboards on de scoped to the cluster. So it is available to all users who have access to this specific cluster, all right to scale the cluster on to add a notice. A simple is the process of adding a mode to the cluster, assuming we've done that in the first place. So we go to the cluster, go into the details for the cluster we select, create machine. Once again, we need to be ensure that we put the correct am I in and any other functions we like. You can create different sized machines so it could be a larger node. Could be bigger disks and you'll see that worker has been added from the provisioning state on shortly. We will see the detail off that worker as a complete to remove a note from a cluster. Once again, we're going to the cluster. We select the node would like to remove. Okay, I just hit delete On that note. Worker nodes will be removed from the cluster using according and drawing method to ensure that your workouts are not affected. Updating a cluster. When an update is available in the menu for that particular cluster, the update button will become available. And it's a simple as clicking the button, validating which release you would like to update to. In this case, the next available releases five point seven point one. Here I'm kicking the update by in the background We will coordinate. Drain each node slowly go through the process of updating it. Andi update will complete depending on what the update is as quickly as possible. Girl, we go. The notes being rebuilt in this case impacted the manager node. So one of the manager nodes is in the process of being rebuilt. In fact, to in this case, one has completed already on In a few minutes we'll see that there are great has been completed. There we go. Great. Done. Yeah. If you work loads of both using proper cloud native community standards, there will be no impact. >>Excellent. So at this point, we've now got a cluster ready to start taking our communities of workloads. He started playing or APs to that costume. So watching that video, the thing that jumped out to me at first Waas like the inputs that go into defining this workload cost of it. All right, so we have to make sure we were using on appropriate am I for that kind of defines the substrate about what we're gonna be deploying our cluster on top of. But there's very little requirements. A so far as I could tell on top of that, am I? Because Docker enterprise Container Cloud is gonna bootstrap all the components that you need. That s all we have is kind of kind of really simple bunch box that we were deploying these things on top of so one thing that didn't get dug into too much in the video. But it's just sort of implied. Bruce, maybe you can comment on this is that release that Shawn had to choose for his, uh, for his cluster in creating it. And that release was also the thing we had to touch. Wanted to upgrade part cluster. So you have really sharp eyes. You could see at the end there that when you're doing the release upgrade enlisted out a stack of components docker, engine, kubernetes, calico, aled, different bits and pieces that go into, uh, go into one of these commodity clusters that deploy. And so, as far as I can tell in that case, that's what we mean by a release. In this sense, right? It's the validated stack off container ization and orchestration components that you know we've tested out and make sure it works well, introduction environments. >>Yeah, and and And that's really the focus of our effort is to ensure that any CVS in any of the stack are taken care of that there is a fixes air documented and up streamed to the open stack community source community, um, and and that, you know, then we test for the scaling ability and the reliability in high availability configuration for the clusters themselves. The hosts of your containers. Right. And I think one of the key, uh, you know, benefits that we provide is that ability to let you know, online, high. We've got an update for you, and it's fixes something that maybe you had asked us to fix. Uh, that all comes to you online as your managing your clusters, so you don't have to think about it. It just comes as part of the product. >>You just have to click on Yes. Please give me that update. Uh, not just the individual components, but again. It's that it's that validated stack, right? Not just, you know, component X, y and Z work. But they all work together effectively Scalable security, reliably cool. Um, yeah. So at that point, once we started creating that workload child cluster, of course, we bootstrapped good old universal control plane. Doctor Enterprise. On top of that, Sean had the classic comment there, you know? Yeah. Yeah. You'll see a little warnings and errors or whatever. When you're setting up, UCP don't handle, right, Just let it do its job, and it will converge all its components, you know, after just just a minute or two. But we saw in that video, we sped things up a little bit there just we didn't wait for, you know, progress fighters to complete. But really, in real life, that whole process is that anything so spend up one of those one of those fosters so quite quite quick. >>Yeah, and and I think the the thoroughness with which it goes through its process and re tries and re tries, uh, as you know, and it was evident when we went through the initial ah video of the bootstrapping as well that the processes themselves are self healing, as they are going through. So they will try and retry and wait for the event to complete properly on. And once it's completed properly, then it will go to the next step. >>Absolutely. And the worst thing you could do is panic at the first warning and start tearing things that don't don't do that. Just don't let it let it heal. Let take care of itself. And that's the beauty of these manage solutions is that they bake in a lot of subject matter expertise, right? The decisions that are getting made by those containers is they're bootstrapping themselves, reflect the expertise of the Mirant ISS crew that has been developing this content in these two is free for years and years now, over recognizing humanities. One cool thing there that I really appreciate it actually that it adds on top of Dr Enterprise is that automatic griffon a deployment as well. So, Dr Enterprises, I think everyone knows has had, like, some very high level of statistics baked into its dashboard for years and years now. But you know our customers always wanted a double click on that right to be able to go a little bit deeper. And Griffon are really addresses that it's built in dashboards. That's what's really nice to see. >>Yeah, uh, and all of the alerts and, uh, data are actually captured in a Prometheus database underlying that you have access to so that you are allowed to add new alerts that then go out to touch slack and say hi, You need to watch your disk space on this machine or those kinds of things. Um, and and this is especially helpful for folks who you know, want to manage the application service layer but don't necessarily want to manage the operations side of the house. So it gives them a tool set that they can easily say here, Can you watch these for us? And Miran tas can actually help do that with you, So >>yeah, yeah, I mean, that's just another example of baking in that expert knowledge, right? So you can leverage that without tons and tons of a long ah, long runway of learning about how to do that sort of thing. Just get out of the box right away. There was the other thing, actually, that you could sleep by really quickly if you weren't paying close attention. But Sean mentioned it on the video. And that was how When you use dark enterprise container cloud to scale your cluster, particularly pulling a worker out, it doesn't just like Territo worker down and forget about it. Right? Is using good communities best practices to cordon and drain the No. So you aren't gonna disrupt your workloads? You're going to just have a bunch of containers instantly. Excellent crash. You could really carefully manage the migration of workloads off that cluster has baked right in tow. How? How? Document? The brass container cloud is his handling cluster scale. >>Right? And And the kubernetes, uh, scaling methodology is is he adhered to with all of the proper techniques that ensure that it will tell you. Wait, you've got a container that actually needs three, uh, three, uh, instances of itself. And you don't want to take that out, because that node, it means you'll only be able to have to. And we can't do that. We can't allow that. >>Okay, Very cool. Further thoughts on this video. So should we go to the questions. >>Let's let's go to the questions >>that people have. Uh, there's one good one here, down near the bottom regarding whether an a p I is available to do this. So in all these demos were clicking through this web. You I Yes, this is all a p. I driven. You could do all of this. You know, automate all this away is part of the CSC change. Absolutely. Um, that's kind of the point, right? We want you to be ableto spin up. Come on. I keep calling them commodity clusters. What I mean by that is clusters that you can create and throw away. You know, easily and automatically. So everything you see in these demos eyes exposed to FBI? >>Yeah. In addition, through the standard Cube cuddle, Uh, cli as well. So if you're not a programmer, but you still want to do some scripting Thio, you know, set up things and deploy your applications and things. You can use this standard tool sets that are available to accomplish that. >>There is a good question on scale here. So, like, just how many clusters and what sort of scale of deployments come this kind of support our engineers report back here that we've done in practice up to a Zeman ia's like two hundred clusters. We've deployed on this with two hundred fifty nodes in a cluster. So were, you know, like like I said, hundreds, hundreds of notes, hundreds of clusters managed by documented press container fall and then those downstream clusters, of course, subject to the usual constraints for kubernetes, right? Like default constraints with something like one hundred pods for no or something like that. There's a few different limitations of how many pods you can run on a given cluster that comes to us not from Dr Enterprise Container Cloud, but just from the underlying kubernetes distribution. >>Yeah, E. I mean, I don't think that we constrain any of the capabilities that are available in the, uh, infrastructure deliveries, uh, service within the goober Netease framework. So were, you know, But we are, uh, adhering to the standards that we would want to set to make sure that we're not overloading a node or those kinds of things, >>right. Absolutely cool. Alright. So at this point, we've got kind of a two layered our protection when we are management cluster, but we deployed in the first video. Then we use that to deploy one child clustering work, classroom, uh, for more sophisticated deployments where we might want to manage child clusters across multiple regions. We're gonna add another layer into our architectural we're gonna add in regional cluster management. So this idea you're gonna have the single management cluster that we started within the first video. On the next video, we're gonna learn how to spin up a regional clusters, each one of which would manage, for example, a different AWS uh, US region. So let me just pull out the video for that bill. We'll check it out for me. Mhm. >>Hello. In this demo, we will cover the deployment of additional regional management. Cluster will include a brief architectures of you how to set up the management environment, prepare for the deployment deployment overview and then just to prove it, to play a regional child cluster. So, looking at the overall architecture, the management cluster provides all the core functionality, including identity management, authentication, inventory and release version. ING Regional Cluster provides the specific architecture provider in this case AWS on the LCN components on the D you speak Cluster for child cluster is the cluster or clusters being deployed and managed? Okay, so why do you need a regional cluster? Different platform architectures, for example aws who have been stack even bare metal to simplify connectivity across multiple regions handle complexities like VPNs or one way connectivity through firewalls, but also help clarify availability zones. Yeah. Here we have a view of the regional cluster and how it connects to the management cluster on their components, including items like the LCN cluster Manager we also Machine Manager were held. Mandel are managed as well as the actual provider logic. Mhm. Okay, we'll begin by logging on Is the default administrative user writer. Okay, once we're in there, we'll have a look at the available clusters making sure we switch to the default project which contains the administration clusters. Here we can see the cars management cluster, which is the master controller. And you see, it only has three nodes, three managers, no workers. Okay, if we look at another regional cluster similar to what we're going to deploy now, also only has three managers once again, no workers. But as a comparison, here's a child cluster This one has three managers, but also has additional workers associate it to the cluster. All right, we need to connect. Tell bootstrap note. Preferably the same note that used to create the original management plaster. It's just on AWS, but I still want to machine. All right. A few things we have to do to make sure the environment is ready. First thing we're going to see go into route. We'll go into our releases folder where we have the kozberg struck on. This was the original bootstrap used to build the original management cluster. Yeah, we're going to double check to make sure our cube con figures there once again, the one created after the original customers created just double check. That cute conflict is the correct one. Does point to the management cluster. We're just checking to make sure that we can reach the images that everything is working. A condom. No damages waken access to a swell. Yeah. Next we're gonna edit the machine definitions. What we're doing here is ensuring that for this cluster we have the right machine definitions, including items like the am I. So that's found under the templates AWS directory. We don't need to edit anything else here. But we could change items like the size of the machines attempts. We want to use that The key items to ensure where you changed the am I reference for the junta image is the one for the region in this case AWS region for utilizing this was no construct deployment. We have to make sure we're pointing in the correct open stack images. Yeah, okay. Set the correct and my save file. Now we need to get up credentials again. When we originally created the bootstrap cluster, we got credentials from eight of the U. S. If we hadn't done this, we would need to go through the u A. W s set up. So we're just exporting the AWS access key and I d. What's important is CAAs aws enabled equals. True. Now we're sitting the region for the new regional cluster. In this case, it's Frankfurt on exporting our cube conflict that we want to use for the management cluster. When we looked at earlier Yeah, now we're exporting that. Want to call the cluster region Is Frank Foods Socrates Frankfurt yet trying to use something descriptive It's easy to identify. Yeah, and then after this, we'll just run the bootstrap script, which will complete the deployment for us. Bootstrap of the regional cluster is quite a bit quicker than the initial management clusters. There are fewer components to be deployed. Um, but to make it watchable, we've spent it up. So we're preparing our bootstrap cluster on the local bootstrap node. Almost ready on. We started preparing the instances at W s and waiting for that bastard and no to get started. Please. The best you nerd Onda. We're also starting to build the actual management machines they're now provisioning on. We've reached the point where they're actually starting to deploy. Dr. Enterprise, this is probably the longest face. Yeah, seeing the second that all the nerds will go from the player deployed. Prepare, prepare. Yeah, You'll see their status changes updates. He was the first night ready. Second, just applying second already. Both my time. No waiting from home control. Let's become ready. Removing cluster the management cluster from the bootstrap instance into the new cluster running the date of the U. S. All my stay. Ah, now we're playing Stockland. Switch over is done on. Done. Now I will build a child cluster in the new region very, very quickly to find the cluster will pick. Our new credential has shown up. We'll just call it Frankfurt for simplicity a key and customs to find. That's the machine. That cluster stop with three managers. Set the correct Am I for the region? Yeah, Do the same to add workers. There we go test the building. Yeah. Total bill of time Should be about fifteen minutes. Concedes in progress. It's going to expect this up a little bit. Check the events. We've created all the dependencies, machine instances, machines, a boat shortly. We should have a working cluster in Frankfurt region. Now almost a one note is ready from management. Two in progress. Yeah, on we're done. Clusters up and running. Yeah. >>Excellent. So at this point, we've now got that three tier structure that we talked about before the video. We got that management cluster that we do strapped in the first video. Now we have in this example to different regional clustering one in Frankfurt, one of one management was two different aws regions. And sitting on that you can do Strap up all those Doctor enterprise costumes that we want for our work clothes. >>Yeah, that's the key to this is to be able to have co resident with your actual application service enabled clusters the management co resident with it so that you can, you know, quickly access that he observation Elson Surfboard services like the graph, Ana and that sort of thing for your particular region. A supposed to having to lug back into the home. What did you call it when we started >>the mothership? >>The mothership. Right. So we don't have to go back to the mother ship. We could get >>it locally. Yeah, when, like to that point of aggregating things under a single pane of glass? That's one thing that again kind of sailed by in the demo really quickly. But you'll notice all your different clusters were on that same cluster. Your pain on your doctor Enterprise Container Cloud management. Uh, court. Right. So both your child clusters for running workload and your regional clusters for bootstrapping. Those child clusters were all listed in the same place there. So it's just one pane of glass to go look for, for all of your clusters, >>right? And, uh, this is kind of an important point. I was, I was realizing, as we were going through this. All of the mechanics are actually identical between the bootstrapped cluster of the original services and the bootstrapped cluster of the regional services. It's the management layer of everything so that you only have managers, you don't have workers and that at the child cluster layer below the regional or the management cluster itself, that's where you have the worker nodes. And those are the ones that host the application services in that three tiered architecture that we've now defined >>and another, you know, detail for those that have sharp eyes. In that video, you'll notice when deploying a child clusters. There's not on Lee. A minimum of three managers for high availability management cluster. You must have at least two workers that's just required for workload failure. It's one of those down get out of work. They could potentially step in there, so your minimum foot point one of these child clusters is fine. Violence and scalable, obviously, from a >>That's right. >>Let's take a quick peek of the questions here, see if there's anything we want to call out, then we move on to our last want to my last video. There's another question here about, like where these clusters can live. So again, I know these examples are very aws heavy. Honestly, it's just easy to set up down on the other us. We could do things on bare metal and, uh, open stack departments on Prem. That's what all of this still works in exactly the same way. >>Yeah, the, uh, key to this, especially for the the, uh, child clusters, is the provision hers? Right? See you establish on AWS provision or you establish a bare metal provision or you establish a open stack provision. Or and eventually that list will include all of the other major players in the cloud arena. But you, by selecting the provision or within your management interface, that's where you decide where it's going to be hosted, where the child cluster is to be hosted. >>Speaking off all through a child clusters. Let's jump into our last video in the Siri's, where we'll see how to spin up a child cluster on bare metal. >>Hello. This demo will cover the process of defining bare metal hosts and then review the steps of defining and deploying a bare metal based doctor enterprise cluster. So why bare metal? Firstly, it eliminates hyper visor overhead with performance boost of up to thirty percent. Provides direct access to GP use, prioritize for high performance wear clothes like machine learning and AI, and supports high performance workloads like network functions, virtualization. It also provides a focus on on Prem workloads, simplifying and ensuring we don't need to create the complexity of adding another opera visor. Lay it between so continue on the theme Why Communities and bare metal again Hyper visor overhead. Well, no virtualization overhead. Direct access to hardware items like F p G A s G p us. We can be much more specific about resource is required on the nodes. No need to cater for additional overhead. Uh, we can handle utilization in the scheduling. Better Onda we increase the performances and simplicity of the entire environment as we don't need another virtualization layer. Yeah, In this section will define the BM hosts will create a new project will add the bare metal hosts, including the host name. I put my credentials I pay my address the Mac address on then provide a machine type label to determine what type of machine it is for later use. Okay, let's get started. So well again. Was the operator thing. We'll go and we'll create a project for our machines to be a member off helps with scoping for later on for security. I begin the process of adding machines to that project. Yeah. So the first thing we had to be in post, Yeah, many of the machine A name. Anything you want, que experimental zero one. Provide the IAP my user name type my password. Okay. On the Mac address for the common interface with the boot interface and then the i p m I i p address These machines will be at the time storage worker manager. He's a manager. Yeah, we're gonna add a number of other machines on will. Speed this up just so you could see what the process looks like in the future. Better discovery will be added to the product. Okay. Okay. Getting back there we have it are Six machines have been added, are busy being inspected, being added to the system. Let's have a look at the details of a single note. Yeah, you can see information on the set up of the node. Its capabilities? Yeah. As well as the inventory information about that particular machine. I see. Okay, let's go and create the cluster. Yeah, So we're going to deploy a bare metal child cluster. The process we're going to go through is pretty much the same as any other child cluster. So we'll credit custom. We'll give it a name, but if it were selecting bare metal on the region, we're going to select the version we want to apply. No way. We're going to add this search keys. If we hope we're going to give the load. Balancer host I p that we'd like to use out of dress range on update the address range that we want to use for the cluster. Check that the sea ideal blocks for the Cuban ladies and tunnels are what we want them to be. Enable disabled stack light. Yeah, and soothe stack light settings to find the cluster. And then, as for any other machine, we need to add machines to the cluster. Here. We're focused on building communities clusters, so we're gonna put the count of machines. You want managers? We're gonna pick the label type manager and create three machines is the manager for the Cuban eighties. Casting Okay thing. We're having workers to the same. It's a process. Just making sure that the worker label host level are I'm sorry. On when Wait for the machines to deploy. Let's go through the process of putting the operating system on the notes validating and operating system deploying doctor identifies Make sure that the cluster is up and running and ready to go. Okay, let's review the bold events waken See the machine info now populated with more information about the specifics of things like storage and of course, details of a cluster etcetera. Yeah, yeah, well, now watch the machines go through the various stages from prepared to deploy on what's the cluster build? And that brings us to the end of this particular demo. You can see the process is identical to that of building a normal child cluster we got our complaint is complete. >>All right, so there we have it, deploying a cluster to bare metal. Much the same is how we did for AWS. I guess maybe the biggest different stepwise there is there is that registration face first, right? So rather than just using AWS financials toe magically create PM's in the cloud. You got a point out all your bare metal servers to Dr Enterprise between the cloud and they really come in, I guess three profiles, right? You got your manager profile with a profile storage profile which has been labeled as allocate. Um, crossword cluster has appropriate, >>right? And And I think that the you know, the key differentiator here is that you have more physical control over what, uh, attributes that love your cat, by the way, uh, where you have the different attributes of a server of physical server. So you can, uh, ensure that the SSD configuration on the storage nodes is gonna be taken advantage of in the best way the GP use on the worker nodes and and that the management layer is going to have sufficient horsepower to, um, spin up to to scale up the the environments, as required. One of the things I wanted to mention, though, um, if I could get this out without the choking much better. Um, is that Ah, hey, mentioned the load balancer and I wanted to make sure in defining the load balancer and the load balancer ranges. Um, that is for the top of the the cluster itself. That's the operations of the management, uh, layer integrating with your systems internally to be able to access the the Cube Can figs. I I p address the, uh, in a centralized way. It's not the load balancer that's working within the kubernetes cluster that you are deploying. That's still cube proxy or service mesh, or however you're intending to do it. So, um, it's kind of an interesting step that your initial step in building this, um and we typically use things like metal L B or in gen X or that kind of thing is to establish that before we deploy this bear mental cluster so that it can ride on top of that for the tips and things. >>Very cool. So any other thoughts on what we've seen so far today? Bruce, we've gone through all the different layers. Doctor enterprise container clouds in these videos from our management are regional to our clusters on aws hand bear amount, Of course, with his dad is still available. Closing thoughts before we take just a very short break and run through these demos again. >>You know, I've been very exciting. Ah, doing the presentation with you. I'm really looking forward to doing it the second time, so that we because we've got a good rhythm going about this kind of thing. So I'm looking forward to doing that. But I think that the key elements of what we're trying to convey to the folks out there in the audience that I hope you've gotten out of it is that will that this is an easy enough process that if you follow the step by steps going through the documentation that's been put out in the chat, um, that you'll be able to give this a go yourself, Um, and you don't have to limit yourself toe having physical hardware on prim to try it. You could do it in a ws as we've shown you today. And if you've got some fancy use cases like, uh, you you need a Hadoop And and, uh, you know, cloud oriented ai stuff that providing a bare metal service helps you to get there very fast. So right. Thank you. It's been a pleasure. >>Yeah, thanks everyone for coming out. So, like I said we're going to take a very short, like, three minute break here. Uh, take the opportunity to let your colleagues know if they were in another session or they didn't quite make it to the beginning of this session. Or if you just want to see these demos again, we're going to kick off this demo. Siri's again in just three minutes at ten. Twenty five a. M. Pacific time where we will see all this great stuff again. Let's take a three minute break. I'll see you all back here in just two minutes now, you know. Okay, folks, that's the end of our extremely short break. We'll give people just maybe, like one more minute to trickle in if folks are interested in coming on in and jumping into our demo. Siri's again. Eso For those of you that are just joining us now I'm Bill Mills. I head up curriculum development for the training team here. Moran Tous on Joining me for this session of demos is Bruce. Don't you go ahead and introduce yourself doors, who is still on break? That's cool. We'll give Bruce a minute or two to get back while everyone else trickles back in. There he is. Hello, Bruce. >>How'd that go for you? Okay, >>Very well. So let's kick off our second session here. I e just interest will feel for you. Thio. Let it run over here. >>Alright. Hi. Bruce Matthews here. I'm the Western Regional Solutions architect for Marantz. Use A I'm the one with the gray hair and the glasses. Uh, the handsome one is Bill. So, uh, Bill, take it away. >>Excellent. So over the next hour or so, we've got a Siris of demos that's gonna walk you through your first steps with Dr Enterprise Container Cloud Doctor Enterprise Container Cloud is, of course, Miranda's brand new offering from bootstrapping kubernetes clusters in AWS bare metal open stack. And for the providers in the very near future. So we we've got, you know, just just over an hour left together on this session, uh, if you joined us at the top of the hour back at nine. A. M. Pacific, we went through these demos once already. Let's do them again for everyone else that was only able to jump in right now. Let's go. Our first video where we're gonna install Dr Enterprise container cloud for the very first time and use it to bootstrap management. Cluster Management Cluster, as I like to describe it, is our mother ship that's going to spin up all the other kubernetes clusters, Doctor Enterprise clusters that we're gonna run our workloads on. So I'm gonna do >>I'm so excited. I can hardly wait. >>Let's do it all right to share my video out here. Yeah, let's do it. >>Good day. The focus for this demo will be the initial bootstrap of the management cluster on the first regional clusters. To support AWS deployments, the management cluster provides the core functionality, including identity management, authentication, infantry release version. The regional cluster provides the specific architecture provided in this case AWS and the Elsom components on the UCP cluster Child cluster is the cluster or clusters being deployed and managed. The deployment is broken up into five phases. The first phase is preparing a bootstrap note on its dependencies on handling the download of the bridge struck tools. The second phase is obtaining America's license file. Third phase. Prepare the AWS credentials instead of the ideas environment, the fourth configuring the deployment, defining things like the machine types on the fifth phase, Run the bootstrap script and wait for the deployment to complete. Okay, so here we're sitting up the strap node. Just checking that it's clean and clear and ready to go there. No credentials already set up on that particular note. Now, we're just checking through aws to make sure that the account we want to use we have the correct credentials on the correct roles set up on validating that there are no instances currently set up in easy to instance, not completely necessary, but just helps keep things clean and tidy when I am perspective. Right. So next step, we're just gonna check that we can from the bootstrap note, reach more antis, get to the repositories where the various components of the system are available. They're good. No areas here. Yeah, right now we're going to start sitting at the bootstrap note itself. So we're downloading the cars release, get get cars, script, and then next we're going to run it. Yeah, I've been deployed changing into that big struck folder, just making see what's there right now we have no license file, so we're gonna get the license filed. Okay? Get the license file through more antis downloads site signing up here, downloading that license file and putting it into the Carisbrook struck folder. Okay, since we've done that, we can now go ahead with the rest of the deployment. Yeah, see what the follow is there? Uh huh. Once again, checking that we can now reach E C two, which is extremely important for the deployment. Just validation steps as we move through the process. Alright. Next big step is violating all of our AWS credentials. So the first thing is, we need those route credentials which we're going to export on the command line. This is to create the necessary bootstrap user on AWS credentials for the completion off the deployment we're now running in AWS policy create. So it is part of that is creating our food trucks script. Creating this through policy files onto the AWS, just generally preparing the environment using a cloud formation script, you'll see in a second, I'll give a new policy confirmations just waiting for it to complete. And there is done. It's gonna have a look at the AWS console. You can see that we're creative completed. Now we can go and get the credentials that we created. Good day. I am console. Go to the new user that's being created. We'll go to the section on security credentials and creating new keys. Download that information media access Key I. D and the secret access key, but usually then exported on the command line. Okay, Couple of things to Notre. Ensure that you're using the correct AWS region on ensure that in the conflict file you put the correct Am I in for that region? I'm sure you have it together in a second. Okay, thanks. Is key. So you could X key Right on. Let's kick it off. So this process takes between thirty and forty five minutes. Handles all the AWS dependencies for you. Um, as we go through, the process will show you how you can track it. Andi will start to see things like the running instances being created on the AWS side. The first phase off this whole process happening in the background is the creation of a local kind based bootstrapped cluster on the bootstrap node that clusters then used to deploy and manage all the various instances and configurations within AWS at the end of the process. That cluster is copied into the new cluster on AWS and then shut down that local cluster essentially moving itself over. Yeah, okay. Local clusters boat. Just waiting for the various objects to get ready. Standard communities objects here. Yeah, you mentioned Yeah. So we've speed up this process a little bit just for demonstration purposes. Okay, there we go. So first note is being built the bastion host just jump box that will allow us access to the entire environment. Yeah, In a few seconds, we'll see those instances here in the US console on the right. Um, the failures that you're seeing around failed to get the I. P for Bastian is just the weight state while we wait for AWS to create the instance. Okay. Yeah. Beauty there. Movies. Okay, sketch. Hello? Yeah, Okay. Okay. On. There we go. Question host has been built on three instances for the management clusters have now been created. Okay, We're going through the process of preparing. Those nodes were now copying everything over. See that scaling up of controllers in the big strapped cluster? It's indicating that we're starting all of the controllers in the new question. Almost there. Right? Okay. Just waiting for key. Clark. Uh huh. So finish up. Yeah. No. Now we're shutting down. Control this on the local bootstrap node on preparing our I. D. C configuration, fourth indication. So once this is completed, the last phase will be to deploy stack light into the new cluster, that glass on monitoring tool set, Then we go stack like deployment has started. Mhm. Coming to the end of the deployment mountain. Yeah, they were cut final phase of the deployment. And we are done. Yeah, you'll see. At the end, they're providing us the details of you. I log in. So there's a key Clark log in. Uh, you can modify that initial default possible is part of the configuration set up where they were in the documentation way. Go Councils up way can log in. Yeah. Yeah. Thank you very much for watching. >>All right, so at this point, what we have we got our management cluster spun up, ready to start creating work clusters. So just a couple of points to clarify there to make sure everyone caught that, uh, as advertised. That's darker. Enterprise container cloud management cluster. That's not rework loans. are gonna go right? That is the tool and you're gonna use to start spinning up downstream commodity documentary prize clusters for bootstrapping record too. >>And the seed host that were, uh, talking about the kind cluster dingy actually doesn't have to exist after the bootstrap succeeds eso It's sort of like, uh, copies head from the seed host Toothy targets in AWS spins it up it then boots the the actual clusters and then it goes away too, because it's no longer necessary >>so that bootstrapping know that there's not really any requirements, Hardly on that, right. It just has to be able to reach aws hit that Hit that a p I to spin up those easy to instances because, as you just said, it's just a kubernetes in docker cluster on that piece. Drop note is just gonna get torn down after the set up finishes on. You no longer need that. Everything you're gonna do, you're gonna drive from the single pane of glass provided to you by your management cluster Doctor enterprise Continue cloud. Another thing that I think is sort of interesting their eyes that the convict is fairly minimal. Really? You just need to provide it like aws regions. Um, am I? And that's what is going to spin up that spending that matter faster. >>Right? There is a mammal file in the bootstrap directory itself, and all of the necessary parameters that you would fill in have default set. But you have the option then of going in and defining a different Am I different for a different region, for example? Oh, are different. Size of instance from AWS. >>One thing that people often ask about is the cluster footprint. And so that example you saw they were spitting up a three manager, um, managing cluster as mandatory, right? No single manager set up at all. We want high availability for doctrine Enterprise Container Cloud management. Like so again, just to make sure everyone sort of on board with the life cycle stage that we're at right now. That's the very first thing you're going to do to set up Dr Enterprise Container Cloud. You're going to do it. Hopefully exactly once. Right now, you've got your management cluster running, and they're gonna use that to spend up all your other work clusters Day today has has needed How do we just have a quick look at the questions and then lets take a look at spinning up some of those child clusters. >>Okay, e think they've actually been answered? >>Yeah, for the most part. One thing I'll point out that came up again in the Dail, helpfully pointed out earlier in surgery, pointed out again, is that if you want to try any of the stuff yourself, it's all of the dogs. And so have a look at the chat. There's a links to instructions, so step by step instructions to do each and every thing we're doing here today yourself. I really encourage you to do that. Taking this out for a drive on your own really helps internalizing communicate these ideas after the after launch pad today, Please give this stuff try on your machines. Okay, So at this point, like I said, we've got our management cluster. We're not gonna run workloads there that we're going to start creating child clusters. That's where all of our work and we're gonna go. That's what we're gonna learn how to do in our next video. Cue that up for us. >>I so love Shawn's voice. >>Wasn't that all day? >>Yeah, I watched him read the phone book. >>All right, here we go. Let's now that we have our management cluster set up, let's create a first child work cluster. >>Hello. In this demo, we will cover the deployment experience of creating a new child cluster the scaling of the cluster on how to update the cluster. When a new version is available, we begin the process by logging onto the you I as a normal user called Mary. Let's go through the navigation of the u I. So you can switch Project Mary only has access to development. Uh huh. Get a list of the available projects that you have access to. What clusters have been deployed at the moment there. Man. Yes, this H keys, Associate ID for Mary into her team on the cloud credentials that allow you to create or access the various clouds that you can deploy clusters to finally different releases that are available to us. We can switch from dark mode to light mode, depending on your preferences. Right. Let's now set up some ssh keys for Mary so she can access the notes and machines again. Very simply, had Mississippi key give it a name. We copy and paste our public key into the upload key block. Or we can upload the key if we have the file available on our machine. A very simple process. So to create a new cluster, we define the cluster ad management nodes and add worker nodes to the cluster. Yeah, again, very simply, we got the clusters tab we had to create cluster button. Give the cluster name. Yeah, Andi, select the provider. We only have access to AWS in this particular deployment, so we'll stick to AWS. What's like the region in this case? US West one released version five point seven is the current release Onda Attach. Mary's Key is necessary key. We can then check the rest of the settings, confirming the provider any kubernetes c r D a r i p address information. We can change this. Should we wish to? We'll leave it default for now and then what components of stack light? I would like to deploy into my custom for this. I'm enabling stack light on logging, and I consider the retention sizes attention times on. Even at this stage, add any custom alerts for the watchdogs. Consider email alerting which I will need my smart host. Details and authentication details. Andi Slack Alerts. Now I'm defining the cluster. All that's happened is the cluster's been defined. I now need to add machines to that cluster. I'll begin by clicking the create machine button within the cluster definition. Oh, select manager, Select the number of machines. Three is the minimum. Select the instant size that I'd like to use from AWS and very importantly, ensure correct. Use the correct Am I for the region. I convinced side on the route. Device size. There we go. My three machines are busy creating. I now need to add some workers to this cluster. So I go through the same process this time once again, just selecting worker. I'll just add to once again the am I is extremely important. Will fail if we don't pick the right. Am I for a Clinton machine? In this case and the deployment has started, we can go and check on the bold status are going back to the clusters screen on clicking on the little three dots on the right. We get the cluster info and the events, so the basic cluster info you'll see pending their listen. Cluster is still in the process of being built. We kick on, the events will get a list of actions that have been completed This part of the set up of the cluster. So you can see here. We've created the VPC. We've created the sub nets on. We've created the Internet Gateway. It's unnecessary made of us. And we have no warnings of the stage. Okay, this will then run for a while. We have one minute past. We can click through. We can check the status of the machine balls as individuals so we can check the machine info, details of the machines that we've assigned mhm and see any events pertaining to the machine areas like this one on normal. Yeah. Just last. The community's components are waiting for the machines to start. Go back to customers. Okay, right. Because we're moving ahead now. We can see we have it in progress. Five minutes in new Matt Gateway. And at this stage, the machines have been built on assigned. I pick up the U S. Yeah, yeah, yeah. There we go. Machine has been created. See the event detail and the AWS. I'd for that machine. No speeding things up a little bit this whole process and to end takes about fifteen minutes. Run the clock forward, you'll notice is the machines continue to bold the in progress. We'll go from in progress to ready. A soon as we got ready on all three machines, the managers on both workers way could go on and we could see that now we reached the point where the cluster itself is being configured mhm and then we go. Cluster has been deployed. So once the classes deployed, we can now never get around. Our environment are looking into configure cluster. We could modify their cluster. We could get the end points for alert Alert Manager See here the griffon occupying and Prometheus are still building in the background but the cluster is available on You would be able to put workloads on it at this stage to download the cube conflict so that I can put workloads on it. It's again the three little dots in the right for that particular cluster. If the download cube conflict give it my password, I now have the Q conflict file necessary so that I can access that cluster. All right, Now that the build is fully completed, we can check out cluster info on. We can see that all the satellite components have been built. All the storage is there, and we have access to the CPU. I. So if we click into the cluster, we can access the UCP dashboard, click the signing with the clock button to use the SSO. We give Mary's possible to use the name once again. Thing is an unlicensed cluster way could license at this point. Or just skip it on. Do we have the UCP dashboard? You could see that has been up for a little while. We have some data on the dashboard going back to the console. We can now go to the griffon. A data just been automatically pre configured for us. We can switch and utilized a number of different dashboards that have already been instrumented within the cluster. So, for example, communities cluster information, the name spaces, deployments, nodes. Um, so we look at nodes. If we could get a view of the resource is utilization of Mrs Custer is very little running in it. Yeah, a general dashboard of Cuba Navies cluster. What If this is configurable, you can modify these for your own needs, or add your own dashboards on de scoped to the cluster. So it is available to all users who have access to this specific cluster. All right to scale the cluster on to add a No. This is simple. Is the process of adding a mode to the cluster, assuming we've done that in the first place. So we go to the cluster, go into the details for the cluster we select, create machine. Once again, we need to be ensure that we put the correct am I in and any other functions we like. You can create different sized machines so it could be a larger node. Could be bigger group disks and you'll see that worker has been added in the provisioning state. On shortly, we will see the detail off that worker as a complete to remove a note from a cluster. Once again, we're going to the cluster. We select the node we would like to remove. Okay, I just hit delete On that note. Worker nodes will be removed from the cluster using according and drawing method to ensure that your workloads are not affected. Updating a cluster. When an update is available in the menu for that particular cluster, the update button will become available. And it's a simple as clicking the button validating which release you would like to update to this case. This available releases five point seven point one give you I'm kicking the update back in the background. We will coordinate. Drain each node slowly, go through the process of updating it. Andi update will complete depending on what the update is as quickly as possible. Who we go. The notes being rebuilt in this case impacted the manager node. So one of the manager nodes is in the process of being rebuilt. In fact, to in this case, one has completed already. Yeah, and in a few minutes, we'll see that the upgrade has been completed. There we go. Great. Done. If you work loads of both using proper cloud native community standards, there will be no impact. >>All right, there. We haven't. We got our first workload cluster spun up and managed by Dr Enterprise Container Cloud. So I I loved Shawn's classic warning there. When you're spinning up an actual doctor enterprise deployment, you see little errors and warnings popping up. Just don't touch it. Just leave it alone and let Dr Enterprises self healing properties take care of all those very transient temporary glitches, resolve themselves and leave you with a functioning workload cluster within victims. >>And now, if you think about it that that video was not very long at all. And that's how long it would take you if someone came into you and said, Hey, can you spend up a kubernetes cluster for development development A. Over here, um, it literally would take you a few minutes to thio Accomplish that. And that was with a W s. Obviously, which is sort of, ah, transient resource in the cloud. But you could do exactly the same thing with resource is on Prem or resource is, um physical resource is and will be going through that later in the process. >>Yeah, absolutely one thing that is present in that demo, but that I like to highlight a little bit more because it just kind of glides by Is this notion of, ah, cluster release? So when Sean was creating that cluster, and also when when he was upgrading that cluster, he had to choose a release. What does that didn't really explain? What does that mean? Well, in Dr Enterprise Container Cloud, we have released numbers that capture the entire staff of container ization tools that will be deploying to that workload costume. So that's your version of kubernetes sed cor DNs calico. Doctor Engineer. All the different bits and pieces that not only work independently but are validated toe work together as a staff appropriate for production, humanities, adopted enterprise environments. >>Yep. From the bottom of the stack to the top, we actually test it for scale. Test it for CVS, test it for all of the various things that would, you know, result in issues with you running the application services. And I've got to tell you from having, you know, managed kubernetes deployments and things like that that if you're the one doing it yourself, it can get rather messy. Eso This makes it easy. >>Bruce, you were staying a second ago. They I'll take you at least fifteen minutes to install your release. Custer. Well, sure, but what would all the other bits and pieces you need toe? Not just It's not just about pressing the button to install it, right? It's making the right decision. About what components work? Well, our best tested toe be successful working together has a staff? Absolutely. We this release mechanism and Dr Enterprise Container Cloud. Let's just kind of package up that expert knowledge and make it available in a really straightforward, fashionable species. Uh, pre Confederate release numbers and Bruce is you're pointing out earlier. He's got delivered to us is updates kind of transparent period. When when? When Sean wanted toe update that cluster, he created little update. Custer Button appeared when an update was available. All you gotta do is click. It tells you what Here's your new stack of communities components. It goes ahead. And the straps those components for you? >>Yeah, it actually even displays at the top of the screen. Ah, little header That says you've got an update available. Do you want me to apply? It s o >>Absolutely. Another couple of cool things. I think that are easy to miss in that demo was I really like the on board Bafana that comes along with this stack. So we've been Prometheus Metrics and Dr Enterprise for years and years now. They're very high level. Maybe in in previous versions of Dr Enterprise having those detailed dashboards that Ravana provides, I think that's a great value out there. People always wanted to be ableto zoom in a little bit on that, uh, on those cluster metrics, you're gonna provides them out of the box for us. Yeah, >>that was Ah, really, uh, you know, the joining of the Miranda's and Dr teams together actually spawned us to be able to take the best of what Morantes had in the open stack environment for monitoring and logging and alerting and to do that integration in in a very short period of time so that now we've got it straight across the board for both the kubernetes world and the open stack world. Using the same tool sets >>warm. One other thing I wanna point out about that demo that I think there was some questions about our last go around was that demo was all about creating a managed workplace cluster. So the doctor enterprise Container Cloud managers were using those aws credentials provisioned it toe actually create new e c two instances installed Docker engine stalled. Doctor Enterprise. Remember all that stuff on top of those fresh new VM created and managed by Dr Enterprise contain the cloud. Nothing unique about that. AWS deployments do that on open staff doing on Parramatta stuff as well. Um, there's another flavor here, though in a way to do this for all of our long time doctor Enterprise customers that have been running Doctor Enterprise for years and years. Now, if you got existing UCP points existing doctor enterprise deployments, you plug those in to Dr Enterprise Container Cloud, uh, and use darker enterprise between the cloud to manage those pre existing Oh, working clusters. You don't always have to be strapping straight from Dr Enterprises. Plug in external clusters is bad. >>Yep, the the Cube config elements of the UCP environment. The bundling capability actually gives us a very straightforward methodology. And there's instructions on our website for exactly how thio, uh, bring in import and you see p cluster. Um so it it makes very convenient for our existing customers to take advantage of this new release. >>Absolutely cool. More thoughts on this wonders if we jump onto the next video. >>I think we should move press on >>time marches on here. So let's Let's carry on. So just to recap where we are right now, first video, we create a management cluster. That's what we're gonna use to create All our downstream were closed clusters, which is what we did in this video. Let's maybe the simplest architectures, because that's doing everything in one region on AWS pretty common use case because we want to be able to spin up workload clusters across many regions. And so to do that, we're gonna add a third layer in between the management and work cluster layers. That's gonna be our regional cluster managers. So this is gonna be, uh, our regional management cluster that exists per region that we're going to manage those regional managers will be than the ones responsible for spending part clusters across all these different regions. Let's see it in action in our next video. >>Hello. In this demo, we will cover the deployment of additional regional management. Cluster will include a brief architectural overview, how to set up the management environment, prepare for the deployment deployment overview, and then just to prove it, to play a regional child cluster. So looking at the overall architecture, the management cluster provides all the core functionality, including identity management, authentication, inventory and release version. ING Regional Cluster provides the specific architecture provider in this case, AWS on the L C M components on the d you speak cluster for child cluster is the cluster or clusters being deployed and managed? Okay, so why do you need original cluster? Different platform architectures, for example AWS open stack, even bare metal to simplify connectivity across multiple regions handle complexities like VPNs or one way connectivity through firewalls, but also help clarify availability zones. Yeah. Here we have a view of the regional cluster and how it connects to the management cluster on their components, including items like the LCN cluster Manager. We also machine manager. We're hell Mandel are managed as well as the actual provider logic. Okay, we'll begin by logging on Is the default administrative user writer. Okay, once we're in there, we'll have a look at the available clusters making sure we switch to the default project which contains the administration clusters. Here we can see the cars management cluster, which is the master controller. When you see it only has three nodes, three managers, no workers. Okay, if we look at another regional cluster, similar to what we're going to deploy now. Also only has three managers once again, no workers. But as a comparison is a child cluster. This one has three managers, but also has additional workers associate it to the cluster. Yeah, all right, we need to connect. Tell bootstrap note, preferably the same note that used to create the original management plaster. It's just on AWS, but I still want to machine Mhm. All right, A few things we have to do to make sure the environment is ready. First thing we're gonna pseudo into route. I mean, we'll go into our releases folder where we have the car's boot strap on. This was the original bootstrap used to build the original management cluster. We're going to double check to make sure our cube con figures there It's again. The one created after the original customers created just double check. That cute conflict is the correct one. Does point to the management cluster. We're just checking to make sure that we can reach the images that everything's working, condone, load our images waken access to a swell. Yeah, Next, we're gonna edit the machine definitions what we're doing here is ensuring that for this cluster we have the right machine definitions, including items like the am I So that's found under the templates AWS directory. We don't need to edit anything else here, but we could change items like the size of the machines attempts we want to use but the key items to ensure where changed the am I reference for the junta image is the one for the region in this case aws region of re utilizing. This was an open stack deployment. We have to make sure we're pointing in the correct open stack images. Yeah, yeah. Okay. Sit the correct Am I save the file? Yeah. We need to get up credentials again. When we originally created the bootstrap cluster, we got credentials made of the U. S. If we hadn't done this, we would need to go through the u A. W s set up. So we just exporting AWS access key and I d. What's important is Kaz aws enabled equals. True. Now we're sitting the region for the new regional cluster. In this case, it's Frankfurt on exporting our Q conflict that we want to use for the management cluster when we looked at earlier. Yeah, now we're exporting that. Want to call? The cluster region is Frankfurt's Socrates Frankfurt yet trying to use something descriptive? It's easy to identify. Yeah, and then after this, we'll just run the bootstrap script, which will complete the deployment for us. Bootstrap of the regional cluster is quite a bit quicker than the initial management clusters. There are fewer components to be deployed, but to make it watchable, we've spent it up. So we're preparing our bootstrap cluster on the local bootstrap node. Almost ready on. We started preparing the instances at us and waiting for the past, you know, to get started. Please the best your node, onda. We're also starting to build the actual management machines they're now provisioning on. We've reached the point where they're actually starting to deploy Dr Enterprise, he says. Probably the longest face we'll see in a second that all the nodes will go from the player deployed. Prepare, prepare Mhm. We'll see. Their status changes updates. It was the first word ready. Second, just applying second. Grady, both my time away from home control that's become ready. Removing cluster the management cluster from the bootstrap instance into the new cluster running a data for us? Yeah, almost a on. Now we're playing Stockland. Thanks. Whichever is done on Done. Now we'll build a child cluster in the new region very, very quickly. Find the cluster will pick our new credential have shown up. We'll just call it Frankfurt for simplicity. A key on customers to find. That's the machine. That cluster stop with three manages set the correct Am I for the region? Yeah, Same to add workers. There we go. That's the building. Yeah. Total bill of time. Should be about fifteen minutes. Concedes in progress. Can we expect this up a little bit? Check the events. We've created all the dependencies, machine instances, machines. A boat? Yeah. Shortly. We should have a working caster in the Frankfurt region. Now almost a one note is ready from management. Two in progress. On we're done. Trust us up and running. >>Excellent. There we have it. We've got our three layered doctor enterprise container cloud structure in place now with our management cluster in which we scrap everything else. Our regional clusters which manage individual aws regions and child clusters sitting over depends. >>Yeah, you can. You know you can actually see in the hierarchy the advantages that that presents for folks who have multiple locations where they'd like a geographic locations where they'd like to distribute their clusters so that you can access them or readily co resident with your development teams. Um and, uh, one of the other things I think that's really unique about it is that we provide that same operational support system capability throughout. So you've got stack light monitoring the stack light that's monitoring the stack light down to the actual child clusters that they have >>all through that single pane of glass that shows you all your different clusters, whether their workload cluster like what the child clusters or usual clusters from managing different regions. Cool. Alright, well, time marches on your folks. We've only got a few minutes left and I got one more video in our last video for the session. We're gonna walk through standing up a child cluster on bare metal. So so far, everything we've seen so far has been aws focus. Just because it's kind of easy to make that was on AWS. We don't want to leave you with the impression that that's all we do, we're covering AWS bare metal and open step deployments as well documented Craftsman Cloud. Let's see it in action with a bare metal child cluster. >>We are on the home stretch, >>right. >>Hello. This demo will cover the process of defining bare metal hosts and then review the steps of defining and deploying a bare metal based doctor enterprise cluster. Yeah, so why bare metal? Firstly, it eliminates hyper visor overhead with performance boost of up to thirty percent provides direct access to GP use, prioritize for high performance wear clothes like machine learning and AI, and support high performance workouts like network functions, virtualization. It also provides a focus on on Prem workloads, simplifying and ensuring we don't need to create the complexity of adding another hyper visor layer in between. So continuing on the theme Why communities and bare metal again Hyper visor overhead. Well, no virtualization overhead. Direct access to hardware items like F p g A s G p, us. We can be much more specific about resource is required on the nodes. No need to cater for additional overhead. We can handle utilization in the scheduling better Onda. We increase the performance and simplicity of the entire environment as we don't need another virtualization layer. Yeah, In this section will define the BM hosts will create a new project. Will add the bare metal hosts, including the host name. I put my credentials. I pay my address, Mac address on, then provide a machine type label to determine what type of machine it is. Related use. Okay, let's get started Certain Blufgan was the operator thing. We'll go and we'll create a project for our machines to be a member off. Helps with scoping for later on for security. I begin the process of adding machines to that project. Yeah. Yeah. So the first thing we had to be in post many of the machine a name. Anything you want? Yeah, in this case by mental zero one. Provide the IAP My user name. Type my password? Yeah. On the Mac address for the active, my interface with boot interface and then the i p m i P address. Yeah, these machines. We have the time storage worker manager. He's a manager. We're gonna add a number of other machines on will speed this up just so you could see what the process. Looks like in the future, better discovery will be added to the product. Okay, Okay. Getting back there. We haven't Are Six machines have been added. Are busy being inspected, being added to the system. Let's have a look at the details of a single note. Mhm. We can see information on the set up of the node. Its capabilities? Yeah. As well as the inventory information about that particular machine. Okay, it's going to create the cluster. Mhm. Okay, so we're going to deploy a bare metal child cluster. The process we're going to go through is pretty much the same as any other child cluster. So credit custom. We'll give it a name. Thank you. But he thought were selecting bare metal on the region. We're going to select the version we want to apply on. We're going to add this search keys. If we hope we're going to give the load. Balancer host I p that we'd like to use out of the dress range update the address range that we want to use for the cluster. Check that the sea idea blocks for the communities and tunnels are what we want them to be. Enable disabled stack light and said the stack light settings to find the cluster. And then, as for any other machine, we need to add machines to the cluster. Here we're focused on building communities clusters. So we're gonna put the count of machines. You want managers? We're gonna pick the label type manager on create three machines. Is a manager for the Cuban a disgusting? Yeah, they were having workers to the same. It's a process. Just making sure that the worker label host like you are so yes, on Duin wait for the machines to deploy. Let's go through the process of putting the operating system on the notes, validating that operating system. Deploying Docker enterprise on making sure that the cluster is up and running ready to go. Okay, let's review the bold events. We can see the machine info now populated with more information about the specifics of things like storage. Yeah, of course. Details of a cluster, etcetera. Yeah, Yeah. Okay. Well, now watch the machines go through the various stages from prepared to deploy on what's the cluster build, and that brings us to the end of this particular do my as you can see the process is identical to that of building a normal child cluster we got our complaint is complete. >>Here we have a child cluster on bare metal for folks that wanted to play the stuff on Prem. >>It's ah been an interesting journey taken from the mothership as we started out building ah management cluster and then populating it with a child cluster and then finally creating a regional cluster to spread the geographically the management of our clusters and finally to provide a platform for supporting, you know, ai needs and and big Data needs, uh, you know, thank goodness we're now able to put things like Hadoop on, uh, bare metal thio in containers were pretty exciting. >>Yeah, absolutely. So with this Doctor Enterprise container cloud platform. Hopefully this commoditized scooping clusters, doctor enterprise clusters that could be spun up and use quickly taking provisioning times. You know, from however many months to get new clusters spun up for our teams. Two minutes, right. We saw those clusters gets better. Just a couple of minutes. Excellent. All right, well, thank you, everyone, for joining us for our demo session for Dr Enterprise Container Cloud. Of course, there's many many more things to discuss about this and all of Miranda's products. If you'd like to learn more, if you'd like to get your hands dirty with all of this content, police see us a training don Miranda's dot com, where we can offer you workshops and a number of different formats on our entire line of products and hands on interactive fashion. Thanks, everyone. Enjoy the rest of the launchpad of that >>thank you all enjoy.

>> Male's Voice: From around the globe, its theCUBE. With digital coverage of a special announcement, brought to you by Nutanix. (soft music) >> Hi, I'm Stu Miniman. And welcome to this special announcement for Nutanix, about some new product releases in the public cloud. To help us kick this off for the Asia Pacific and Japan region. Happy to welcome to the program Jordan Reizes, who's the vice president of marketing, for APJ and Nutanix. Jordan, help us introduce it. Thanks Stu. So today we're really pleased to announce Nutanix Clusters, availability in Asia Pacific and Japan, at the same time as the rest of the world. And we think this technology is really important to our geographically dispersed customers, all across the region, in terms of helping them, On-Ramp to the cloud. So, we're really excited about this launch today. And Stu, I can't wait to see the rest of the program. And make sure you stay tuned at the end, for our interview with our CTO, Justin Hurst. Who's going to be answering a bunch of questions that are really specific to the APJ region. >> All right, thank you so much Jordan, for helping us kick this off. We're now going to cut over to my interview with Monica and Tarkan, with the news. >> Hi, I'm Stu Miniman. And I want to welcome you to this special event that we are doing with Nutanix. Of course, in 2020 many things have changed. And that has changed some of the priorities, for many companies out there. Acceleration of cloud adoption, absolutely have been there. I've talked to many companies that were dipping their toe, or thinking about, where they were going to cloud. And of course it's rapidly moved to accelerate to be able to leverage work from home, remote contact centers, and the like. So, we have to think about how we can accelerate what's happening, and make sure that our workforce, and our customers are all taken care of. So, one of the front seats of this, is of course, companies working to help modernize customers out there. And, Nutanix is part of that discussion. So, I want to welcome to join us for this special discussion of cloud and Nutanix. I have two of our CUBE alumnus. First of all, we have Monica Kumar. She's the senior vice president of product, with Nutanix. And Tarkan Maner, who's a relative newcomer. Second time on theCUBE, in his new role many time guests. Previously, Tarkan is the chief commercial officer with Nutanix. Monica and Tarkan, thank you so much for joining us. >> Thank you so much. So happy to be back on theCUBE. >> Yeah, thank you. >> All right. So, Tarkan as I was teeing up, we know that, IT staffs in general, CIO specifically, and companies overall, are under a lot of pressure in general. But in 2020, there are new pressures on them. So, why don't you explain to us, the special cloud announcement. Tell us, what's Nutanix launching, and why it's so important today. >> So, Stu first of all, thank you. And glad to be here with Monica. And basically you and I, spend some time with a few customers in the past few weeks and months. I'll tell you, the things in our industry are changing at a pace that we never seen before. Especially with this pandemic backdrop, as we're going through. And obviously, all the economic challenges that creates beyond the obviously, health challenges and across the world, all the pain it creates. But also it creates some opportunities for our customers and partners to deliver solutions to our enterprise customers, and commercial customers, and in a public sector customers, in multiple industries. From healthcare, obviously very importantly, to manufacturing, to supply chains, and to all the other industries, including financial services and public sector again. So in that context, Monica knows as well as she's our leader. You know, our strategy, we're putting lots of effort in this new multi-class strategy as a company. As you know, is too well, Nutanix wrote the book, in digital infrastructures with its own private, (mumbles) infrastructure story. Now they're taking that next level, via our data center solutions, via DevOps solutions, and end user computer solutions. Now, the multicloud fashion, working with partners like AWS. So, in this launch, we have our new, hybrid cloud infrastructure, Nutanix Clusters product now available in the AWS. We are super excited. We have more than 20 tech firms, and customers, and partners at sealable executive level support in this big launch. Timing is usually important, because of this pandemic backdrop. And the goal is obviously to help our customers save money, focus what's important for them, save money for them, and making sure they streamlined their IT operation. So it's a huge launch for us. And we're super excited about it. >> Yeah. And the one thing I would add too, what Tarkan said too is, look, we talk to a lot of customers, and obviously cloud is the constant, in terms of enabling innovation. But I think more with COVID, what's on top of mind is also how do we use cloud for innovation? But really be intelligent about cost optimization. So with this new announcement, what we are excited about is we're bringing, making really a hybrid cloud reality, across public and private cloud. But also making sure customers, get the cost efficiency they need, when they're deploying the solution. So we are super excited to bring true hybrid cloud offering with AWS to the market today. >> Well, I can tell you Nutanix cluster is absolutely one of the exciting technologies I've enjoyed, watching and getting ready for. And of course, a partnership with the largest public cloud player out there AWS, is really important. When I think about Nutanix from the earliest days, the word that we always used for the HI Space and Nutanix specifically, was simplicity. Anybody in the tech space know that, true simplicity is really hard to do. When I think about cloud, when I think about multicloud, simplicity is not the first thing that I think of. So, Tarkan has helped us connect, how is Nutanix going to extend the simplicity that it's done, for so long now in the data center, into places like AWS with this solution? >> So, Stu you're spot on. Look, Monica and I spend a lot of time with our customers. One thing about Nutanix executive team, you're very customer-driven. And I'm not just saying this to make a point. We really spent tons of time with them because our solutions are basically so critical for them to run their businesses. So, just recently I was with a senior executive, C level executive of an airline. Right before that, Monica and I spent actually with one of the largest banks in the world in France, in Paris. Right before the pandemic, we were actually traveling. Talking to, not all the CIO, the chief operating officer on one of these huge banks. And the biggest issue was, how these companies are trying to basically adjust their plans, business plans. I'm not talking about tech plans, IT plans, the business plans around this backdrop with the economic stress. And obviously, now pandemic is in a big way. One of the CIOs told me, he was an airline executive. "Look Tarkan, in the next four months, my business might be half of what it is today. And I need to do more with less, in so many different ways, while I'm cutting costs." So it's a tough time. So, in that context is to... Your actually right. Multicloud is in a difficult proposition, but it's critical, for these companies to manage their cost structures across multiple operating models. Cloud to us, is not a destination, it's a means to an ends. It is an operating model. At the end of the day, the differentiation is still the software. The unique software that we provide from digital infrastructures, to deliver, end to end discreet data center solutions, DevOps solutions for developers, as well as for end user computing individuals, to making sure to take advantage of, these VDI decibels service topic capability. So in that context, what we are providing now to this CIOs who are going through, this difficult time is, a platform, in which they can move their workloads from cloud to cloud, based on their needs, with freedom of choice. Look, one of these big banks that Monica and I visited in France, huge global bank. They have a workloads on AWS, they have workload on Azure, they have workloads on Google, workloads on (indistinct), the local XP, they have workloads in Germany. They have workloads providers in Asia, in Taiwan, and other locations. On top of that, they're also using Nutanix on-prem as well as Nutanix cloud, our own cloud services for VR. And then, this is not just in this nation. This is an operating model. So the biggest request from them is, look, can you guys make this cost effective? Can we use, all these operating models and move our data, and applications from cloud to cloud? In simple terms, can we get, some kind of a flexibility with commits as well as we pay credits they paid for so far? And, those are things we're working on. And I'm sure Monica is going to get a little bit more into detail, as we talk to this. You are super excited, to start this journey with AWS, with this launch, but you're not going to stop there. Our goal is, we just kind of discussed with Monica earlier, provide freedom of choice across multiple clouds, both on-prem and off-prem, for our customers to cut costs, and to focus on what's important for them. >> Yeah, and I would just add, to sum it up, we are really simplifying the multicloud complexity for our customers. And I can go into more detail, but that's really the gist of it. Is what Nutanix is doing with this announcement, and more coming up in the future. >> Well, Monica, when I think about customers, and how do they decide, what stays in their data center, what goes into the public cloud? It's really their application portfolio. I need to look at my workloads, I need to look at my skillset. So, when I look at the cluster solution, what are some of the key use cases? What workloads are going to be the first ones that you expect, or you're having customers use with it today? >> Sure. And as we talk to customers too, this clearly few key use cases that they've been trying to, build a hybrid strategy around. The first few ones are bursting into cloud, right? In case of, a demand of sudden demand, how do I burst and scale my, let's say a VDI environment. or database environment into the cloud? So that's clearly one that many of our customers want to be able to do simply, and without having to incur this extreme complexity of managing these environments. Number two, it's about DR, and we saw with COVID, right? Business continuity became a big deal for many organizations. They weren't prepared for it. So the ability to actually spin up your applications and data in the cloud seamlessly, in case of a disaster, that's another big use case. The third one, of which many customers talk about is, can I lift and shift my applications as is, into the cloud? Without having to rewrite a single line of code, or without having to rewrite all of it, right? That's another one. And last but not least, the one that we're also hearing a lot about is, how do I extend my current applications by using cloud native services, that's available on public cloud? So those are four, there's many more, of course. But in terms of workloads, I mentioned two examples, right? VDI, which is Virtual Desktop Infrastructure, and is a computing, and also databases. More and more of our customers, don't want to invest in again having, on-premises data center assets sitting there idly. And, wait for when the capacity surges, the demand for capacity surges, they want to be able to do that in the cloud. So I'd say those are the few use cases and workloads. One thing I want to go back to what Tarkan was talking about, really their three key reasons, why the current hybrid cloud solutions, haven't really panned out for customers. Number one, it's having a unified management environment across public and private cloud. There's a few solutions out there, but none of them have proved to be simple enough, to actually put into real execution. You know, with Nutanix, the one thing you can do is literally build a hybrid cloud within, under an hour. Under an hour, you can spin up Nutanix Clusters, which you have on-premises, the same exact cluster in Amazon, under one hour. There you go. And you have the same exact management plan, that we offer on-prem, that now can manage your AWS Nutanix Clusters. It's that easy, right? And then, you can easily move your data and applications across, if you choose to. You want to move and burst into public cloud? Do it. You want to keep some stuff on-prem? Do it. If you're going to develop in the cloud, do it. Want to keep production on-prem, do it. Single management plan, seamless mobility. And the third point is about cost. Simplicity of managing the costs, making sure you know, how you're going to incur costs. How about, if you can hibernate your AWS cluster when you're not using it? We allow the... We have the capability now in our software to do that. How about knowing, where to place which workload. Which workload goes into public cloud, which stays on-premises. We have an amazing tool called beam, that gives the customers that ability to assess, which is the right cloud for the right workload. So I can go on and on about this. You know, we've talked to so many customers, but this is in a nutshell. You know, the use cases and workloads that we are delivering to customers right out the gate. >> Well, Monica, I'd love to hear a little bit about the customers that have had early access to this. What customer stories can you share? Understand of course? You're probably going to need to anonymize. But, I'd like to understand, how they've been leveraging clusters, the value that they're getting from it. >> Absolutely. We've been working with a number of customers. And I'll give you a few examples. There's a customer in Australia, I'll start with that. And they basically run a big event that happens every five years for them. And that they have to scale something to 24 million people. Now imagine, if they have to keep capacity on site, anticipating the needs for five years in a row, well, they can't do that. And the big event is going to happen next year for them. So they are getting ready with now clusters, to really expand the VDI environments into the cloud, in a big way with AWS. So from Nutanix on-prem to AWS, and expand VDI and burst into the cloud. So that's one example. That's obviously when you have an event-driven capacity bursting into the cloud. Another customer, who is in the insurance business. For them, DR is of course very important. I mean, DR is important for every industry in every business. But for them, they realize that they need to be able to, transparently run the applications in the case of a disaster on the cloud. So they've been using non Nutanix Clusters with AWS to do that. Another customer is looking at lifting and shifting some of the database applications into, AWS with Nutanix, for example. And then we have yet another customer who's looking at retiring, their a part of the data center estate, and moving that completely to AWS, with Nutanix as a backbone, Nutanix Clusters as a backbone. I mean, and we have tons of examples of customers who during COVID, for example, were able to burst capacity, and spin up hundreds and thousands of remote employees, using clusters into AWS cloud. Using Citrix also by the way, as the desktop provider. So again, I can go on, we have tons of customers. There's obviously a big demand for the solution. Because now it's so easy to use. We have customers, really surprised going, "Wait, I now have built a whole hybrid card within an hour. And I was able to scale from, six nodes, to 60 nodes, just like that, on AWS cloud from on-prem six nodes, to 16 in AWS cloud. Our customers are really, really pleasantly surprised with the ease of use, and how quickly they can scale, using clusters in AWS. >> Yeah. Tarkan I have to imagine that, this is a real change for the conversation you have with customers. I mean, Nutanix has been partner with AWS for a number of years. I remember the first time that I saw Nutanix, at the reinvent show. But, cloud is definitely front and center, in a lot of your customer's conversations. So, with your partners, with your customers, has to be just a whole different aspect, to the conversations that you can have. >> Actually Stu, as you heard from Monica too. As I mentioned earlier, this is not just a destination for the customers, right? I know you using these buzzwords, at the end of day, there's an open end model. If it's an open end model they want to take advantage of, to cut costs and do more with less. So in that context, as you heard, even in this conversation, there is many pinpoint in this. Like again, being able to move the workloads from location to location, cost optimize those things, provide a streamlined operations. Again, as Monica suggested, making the apps, and the data relating those apps mobile, and obviously provide built-in networking capabilities. All those capabilities make it easier for them to cut costs. So we're hearing constantly, from the enterprises is small and large, private sector and public sector, nothing different. Clearly they have options. They want to have the freedom of choice. Some of these workloads are going to run on-prem, some of them off prem. And off prem is going to have, tons of different radiations. So in that context, as I mentioned earlier, we have our own cloud as well. We provide 20 plus skews to 17,000 customers around the world. It's a $2 billion software business run rate is as you know. And, a lot of those questions on-prem customers now, also coming to our own cloud services. With cloud partners, we have our own cloud services, with our own billing, payments, logistics, and service capabilities. With a credit card, you can actually, you can do DR. (mumbles) a service to Nutanix itself. But some of these customers also want to go be able to go to AWS, or Azure, or to a local service provider. Sometimes it's US companies, we think US only. But think about this, this is a global phenomenon. I have customers in India. We have customers in Australia as Monica talked about. In China, in Japan, in Germany. And some of these enterprise customers, public sector customers, they want to DR, Disaster Recovery as a service to a local service provider, within the country. Because of the new data governance, laws and security concerns, they don't want the data and us, to go outside of the boundaries of the country. In some cases, in the same continent, if you're in Switzerland, not even forget about the country, the same city. So we want to make sure, we give capabilities for customers, use the cloud as an operating model the way they want. And as part of this, just you know Stu, you're not alone in this, we can not do this alone. We have, tremendous level of partner support as you're going to see in the new announcements. From HP as one of our key partners, Lenovo, AMD, Intel, Fujitsu, Citrix for end user computing. You're partnering with Palo Alto networks for security, Azure partners, as you know we support (indistinct). We have partners like Red Hat, whose in tons of work in the Linux front. We partnered with IBM, we partner with Dell. So, the ecosystem makes it so much easier for our customers, especially with this pandemic backdrop. And I think what you're going to see from Nutanix, more partners, more customer proof points, to help the customers innovate the cut costs, in this difficult backdrop. Especially for the next 24 months, I think what you're going to see is, tremendous so to speak adoption, of this multicloud approach that you're focusing on right now. >> Yeah, and let me add, I know our partner list is long. So Tarkan also, we have the global size, of course. The WebPros, and HCL, and TCS, and Capgemini, and Zensar, you name it all. We're working with all of them to bring clusters based solutions to market. And, for the entire Nutanix stack, also partners like Equinix and Yoda. So it's a long list of partnerships. The one thing I did want to bring up Stu, which I forgot to mention earlier, and Tarkan reminded me is a superior architecture. So why is it that Nutanix can deliver this now to customers, right? I mean, our customers have been trying to build hybrid cloud for a little while now, and work across multiple clouds. And, we know it's been complex. The reason why we are able to deliver this in the way we are, is because of our architecture. The way we've architected clusters with AWS is, it's built in native network integration. And what that means is, if your customer and end user who's a practitioner, you can literally see the Nutanix VMs, in the same space as Amazon VMs. So for a customer, it's in the exact same space, it's really easy to then use other AWS services. And we bypass any, complex and latency issues with networking, because we are exactly part of AWS VPC for the customer. And also, the customers can use by the way, the Amazon credits, with the way we've architected this. And we allow for bringing your own license, by the way. That's the other true part about simplicity is, same license that our customers use on-premises today for Nutanix, can be brought exactly the same way to AWS, if they choose to. And now of course, we do also offer other licensing models that are cloud only. But I want to point out that DVIOL is something that we are very proud of. It's truly enabling, bring your own license to AWS cloud in this case. >> Well, it's interesting, Monica. Of course, one of the things everybody's watched of Nutanix over the last few years is that move, from an appliance primarily to a software model. And, as an industry as a whole, it's much more moving to the cloud model for pricing. And it sounds like, that's the primary model with some flexibility and options that you have, when you're talking about the cluster solution here, is that correct? >> Yeah, we also offer the pay as you go model of course, and cloud as popular. So, customers can decide they just want to pay for the amount they use, that's fine. Or they can bring their existing on-prem license, to AWS. Or we also have a commit model, where they commit for a certain capacity for the year, and they go with that. So we have two or three different kinds of models. Again, going with the freedom of choice for our customers. We offer them different models they can choose from. But to me, the best part is to bring your own license model. That's again, a true hybrid pricing model here. They can choose to use Nutanix where they want to. >> Yeah. Well, and Monica, I'm glad you brought up some of the architectural pieces here. 'Cause you talked about all the partners that you have out there. If I'm sitting in the partner world, I've been heard nothing over the last few years, but I've been inundated by all of the hybrid solutions. So, every public cloud provider, including AWS now, is talking about hybrid solutions. You've got virtualization players, infrastructure players, all talking out there. So, architecture you talked a bit about. Anything else, key differentiators that you want people to understand, as what sets Nutanix apart from the crowd, when it comes to hybrid cloud. >> Well, like I said, it's because of our architecture, you can build a hybrid cloud in under an hour. I mean, prove to me if you can do with other providers. And again, I don't mean that, having that ego. But really, I mean, honestly for our customers, it's all about how can we, speed up a customer's experience to cloud. So, building a cloud under an hour, being able to truly manage it with a single plan, being able to move apps and data, with one click in many cases. And last but not least, the license portability. All of that together. I think the way, (indistinct) I've talked about this as, we may not have been the first to market, but we believe they are the best to market in this space today. That's what I would say. >> Tarkan and I'd love to hear a little bit of the vision. So, with Monica kind of alluded to, anybody that kind of digs underneath the covers is, it's bare metal offerings from the cloud providers that are enabling this technology. There was a certain partnership that AWS had, that enabled this, and now you're taking advantage of it. What do you feel when you look at clusters going forward, give us a little bit what should we be looking for, when it comes to AWS and maybe even beyond. >> Thank you Stu. Actually, is spot on question. Most companies in the space, they follow these buzzwords, right? (indistinct) multicloud. And when you killed on, you and you find out, okay, you support two cloud services, and you actually own some kind of a marketplace. And you're one of the 19,000 services. We don't see this as a multicloud. Our view is, complete freedom of choice. So our vision includes a couple of our private clouds, government clouds success with our customers. We've got enterprise commercial and public sector customers. Also delivered to them choice, with Nutanix is own cloud as I mentioned earlier. With our own billing payment, we're just as capable starting with DR as a service, Disaster Recovery as a service. But take that to next level, the database as a service, with VDI based up as a service, and other services that we deliver. But on top of that also, as Monica talked about earlier, partnerships we have, with service providers, like Yoda in India, a lot going on with SoftBank in Japan, Brooklyn going on with OBH in France. And multiple countries that we are building this XSP (indistinct) telco relationships, give those international customers, choice within that own local region, in their own country, in some cases in their city, where they are, making sure the network latency is not an issue. Security, data governance, is not an issue. And obviously, third leg of this multilayer stool is, hyperscalers themselves like AWS. AWS has been a phenomenal partner, working with Doug (indistinct), Matt Garmin, the executive team under Andy Jassy and Jeff Bezos, biggest super partners. Obviously, that bare metal service capability, is huge differentiator. And with the typical AWS simplicity. And obviously, with Nutanix simplicity coming together. But given choice to our customers as we move forward obviously, our customer set a multicloud strategy. So I'm reading an amazing book called Silk Roads. It's an amazing book. I strongly suggest you all read it. It's all talking about partnerships. Throughout the history, those empires, those countries who have been successful, partnered well, connect the dots well. So that's what we're trying to learn from our own history. Connecting dots with the customers and partners as we talked about earlier. Working with companies that with Wipro. And we over deliver to the end user computer service called, best of a service door to desk. Database as a service, digital data services get that VA to other new services started in HCL and others. So all these things come together as a complete end to end strategy with our partners. So we want to make sure, as we move forward in upcoming weeks and months, you're going to see, these announcements coming up, one partner at a time. And obviously we are going to measure success, one customer at a time as we more forward with the strategy. >> All right. So Monica, you mentioned that if you were an existing Nutanix customer, you can spin up in the public cloud, in under an hour. I guess final question I have for you is, number one, if I'm not yet a Nutanix customer, is this something I could start in the public cloud. and leverage some capabilities? And, whether I'm an existing customer or a prospect, how do I get started with Nutanix Clusters? >> Absolutely. We are all about making it easy for our customers to get started. So in fact, I know seeing is believing. So if you go to nutanix.com today, you'll see we have a link there for something called a test drive. So we are giving our prospects, and customers the ability to go try this out. Either just take a tour, or even do a 30 day free trial today. So they can try it out. They can just get spun up in the cloud completely, and then connect to on-premises if they choose to. Or just, if they choose to stay in public cloud only with Nutanix, that's absolutely the customer choice. And I would say this is really, only the beginning for us as Tarkan was saying. I mean, I'm just really super excited about our future, and how we are going to enable customers, to use cloud for innovation going forward. In a really simple, manner that's cost efficient for our customers. >> All right. Well, Monica and Tarkan, thank you so much for sharing the updates. Congratulations to the team on bringing this solution out. And as you said, just the beginning. So, we look forward to, talking to you, your partners, and your customers going forward. >> Thank you so much. >> Thank you Stu. Thank you, Monica. >> Hi, and welcome back. We've just heard Nutanix's announcement about Nutanix Clusters on AWS, from Monica and Tarkan, And, to help understand some of the specific implications for the Asia Pacific and Japan region. Happy to welcome Justin Hurst, who is the CTO, for APJ with Nutanix. Justin, thanks for joining us. >> Well, thanks Stu. Thanks for having me. >> Absolutely. So, we know Justin of course, 2020, has had a lot of changes, for everyone globally. Heard some exciting news from your team. And, wondering if you can bring us inside the APJ region. And what will the impact specifically be for your customers in your region? >> Yeah, let's say, that's a great question. And, it has been a tremendously unusual year, of course, for everyone. We're all trying, to figure out how we can adapt. And how we can take this opportunity, to not only respond to the situation, but actually build our businesses in a way, that we can be more agile going forward. So, we're very excited about this announcement. And, the new capabilities it's going to bring to our customers in the region. >> Justin, one of the things we talk about is, right now, there's actually been an acceleration of how customers are looking to On-Ramp to the cloud. So when you look at the solution, what's the operational impact of Nutanix Clusters? And that acceleration to the cloud? >> Well, sure. And I think that, is really what we're trying to accomplish here, with this new technology is to take away a lot of the pain, in onboarding to the public cloud. For many customers I talk to, the cloud is aspirational at this point. They may be experimenting. They may have a few applications they've, spun up in the cloud or using a SaaS service. But really getting those core applications, into the public cloud, has been something they've struggled with. And so, by harmonizing the control plan and the data plan, between on-premises and the public cloud, we just completely remove that barrier, and allow that mobility, that's been, something people have really been looking forward to. >> All right, well, Justin, of course, the announcement being with AWS, is the global leader in public cloud. But we've seen the cluster solution, when has been discussed in earlier days, isn't necessarily only for AWS. So, what can you tell us about your customer's adoption with AWS, and maybe what we should look at down the road for clusters with other solutions? >> Yeah, for sure. Now of course, AWS is the global market leader, which is why we're so happy to have this launch event today of clusters on AWS. But with many of our customers, depending on their region, or their regulatory requirements, they may want to work as well, with other providers. And so when we built the Nutanix cluster solution, we were careful not to lock in, to any specific provider. Which gives us options going forward, to meet our customer demands, wherever they might be. >> All right. Well, when we look at cloud, of course, the implications are one of the things we need to think about. We've seen a number of hybrid solutions out there, that haven't necessarily been the most economical. So, what are the financial considerations, when we look at this solution? >> Yeah, definitely. I think when we look at using the public cloud, it's important not to bring along, the same operational mindset, as traditional on-premise infrastructure. And that's the power of the cloud, is the elasticity. And the ability to burst workloads, to grow and to shrink as needed. And so, to really help contain those costs, we've built in this amazing ability, to hibernate workloads. So that customers can run them, when they need them. Whether it's a seasonal business, whether it's something in education, where students are coming and going, for different terms. We've built this functionality, that allows you to take traditional applications that would normally run on-premises 24/7. And give them that elasticity of the public cloud, really combining the best of both worlds. And then, building tooling and automation around that. So it's not just guesswork. We can actually tell you, when to spin up a workload, or where to place a workload, to get the best financial impact. >> All right, Justin, final question for you is, this has been the works on Nutanix working on the cluster solution world for a bit now. What's exciting you, that you're going to be able to bring this to your customers? >> Yeah. There's a lot of new capabilities, that get unlocked by this new technology. I think about a customer I was talking to recently, that's expanding their business geographically. And, what they didn't want to do, was invest capital in building up a new data center, in a new region. Because here in APJ, the region is geographically vast, and connectivity can vary tremendously. And so for this company, to be able to spin up, a new data center effectively, in any AWS region around the world, really enables them to bring the data and the applications, to where they're expanding their business, without that capital outlay. And so, that's just one capability, that we're really excited about. And we think we'll have a big impact, in how people do business. And keeping those applications and data, close to where they're doing that business. >> All right. Well, Justin, thank you so much for giving us a look inside the APJ region. And congratulations to you and the team, on the Nutanix Clusters announcement. >> Thanks so much for having me Stu. >> All right. And thank you for watching I'm Stu Miniman. Thank you for watching theCUBE. (soft music)

>> Narrator: From theCUBE's studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE Conversation. >> Hi and welcome to a special CUBE Conversation, I'm Stu Miniman and happy to welcome back to the program, Michelle Peluso. She is the Senior Vice President of Digital Sales as well as the Chief Marketing Officer for IBM. Michelle, thanks so much for joining us. >> Hey Stu, great to see you again. Boy we had fun at Think, thank you so much for your help. >> Yeah, well Michelle, I'm really excited to, you know, get a little bit of the inside what happened from your end. Got to talk to you, you know, at the show, instead of 20,000 people, you know, dealing with San Francisco and Moscone and everything there. You had, if I read right, 100,000 people at least registered for the digital event, you know, bring us inside a little bit the control center, what was it like being part of that event, your team, of course, all distributed, and you know, anything surprise you during that event, >> Well it was nerve wracking. (laughing) Look, what an exciting thing, and kudos to the team for so much innovation. I mean, we had in 60 days to build a platform. Of course, using IBM technology, lots of media, the IBM Cloud, integrate some third parties, build a reporting suite. We make all of the content because in this world, of course, there are different things front and center on our clients minds, and not only that, but we had to film it all in remote locations in peoples homes, and make it all work, and so the team did an extraordinary job, and on the really positive side, you mentioned we had over 100,000 clients and business partners register, but it was still even more than three times any audience we've ever had come to our physical events at Think. So it was really extraordinary, and now of course, we're following up. We have a treasure trove of information about what clients are interested in, and what our business partners are interested in. We have a great opportunity to leverage the on demand content to continue the conversation. >> It's great. It's really interesting to time shift things instead of okay I'm going to dedicate however many days to do the event. Now, I love that mix of you can watch it live, you can watch it on demand, you can follow up. You know, how are you any trends that you're seeing as to where people are going, or how you're making sure that there are people to support and engage, not just say, you know, hey, here's a lot of content, you know, go watch our breakouts, go watch the cube stuff. >> Yeah, yeah. Well this is a huge thing, right? So both in terms of what we actually had to say, we really took our time to say, we interviewed clients, we look at search, you know, what's happening, what are our clients searching for, and PS data. So our big seven conversations, things like supply chain resiliency, things like engaging customers virtually, things like virtual work and return to work. We knew that those were really pertinent conversations, and now we have, you know, a couple things happening. One, all of our sellers are reaching out to people. Their clients, their business partners to talk about what they liked, what they didn't like, where they had to go deep in that conversation to progress, that conversation. For those that maybe registered and didn't attend, we're sending them on demand sessions based on what they said they were interested in, so they can consume at their own pace, and for many, we know that there are real opportunities that have emerged. So real business opportunity if they want IBM's help with, and there, of course, we're accelerating the conversations with those clients. >> Yeah, Michelle, your team actually sent over a few questions that some of the audience gave, and one of them talked about that there is, you know, no shortage of data out there. But what they put in the question is often there's not enough people that can curate or help you sort through. So you know, I think with the digital experience, right? How are you helping people curate the information? How are you making sure that people get from, you know, the data down that path towards you know, knowledge and you know, turn data into results eventually. >> Sure, well you have to ask good questions, you know? There's got to be great data standards, and governance, and you have to ask good questions, and that's really the simple thing. And you know, for us, we can ask some very simple questions. What are the signals we have on some clients that tend to think that they're interested in going deeper? You know, the clients where, you know, we had maybe 20, 30, 40 attendees. We had some clients attend over 1,000 sessions, and you know, really, maybe they're majoring on AI, or maybe they majored on cloud, and so how do we pair up our our sellers, our client execs with those clients to talk about taking that conversation to the next phase, right? To the next opportunity. Maybe doing demos, maybe doing a virtual garage, et cetera. Secondly, we had a lot of clients actually sign up for things like virtual garages, throughout Think there were these calls to action, and so we had many clients say, "Hey, I want to start "a virtual garage. I'll take advantage of that to our "free consulting." So for them, we know that we've got to go down a very specific path very quickly. And then there are other clients where the data said you know, there's a late, maybe a little bit of interest, but we have to nurture that they're not ready for the next step. So I think it always starts with just asking great questions. We're a very data driven organization in IBM marketing. We're really passionate about what we can learn. And, you know, beyond, of course, the data and things like Think we're passionate about things like Net Promoter Score. We get a million data points every year from our clients about how they're feeling about IBM. So all this enriches our ability to make sense of this world for our clients. >> Yeah, so Michelle, what one of the things I found really interesting is we've had online events for quite a long time now. You know, we've worked with IBM on that hybrid model, in physical and online events before, but there's a real thirst for you know, what are best practices now? What can you learn? So, you know, when your peers are reaching out for you, and saying, "Hey, Michelle, you did this." Other than not trying to do it all in from you know, from start to finish in six weeks, what other tips would you give, or lessons learned that you have? >> Well, I think, first of all, the platform makes a huge decision, right? We really have to have a flawless technical experience. And so we were very lucky to have Watson Media and hosting on the IBM Cloud. But we integrated some really good third party tooling before you know, analytics, real time analytics, and things like chat, et cetera. Secondly, I think you really have to think about how to make this engaging for the audience. It can't feel like a streaming event. And so for us that meant things like chat of course, then things like moderated live expert sessions mean things like going off platforms, Reddit and hosting sessions on Reddit, things like one on one client executive briefing room. So the second part is really about engaging the audience, and making sure it doesn't just feel like streaming third, shorter is better. You know, people's attention spans are small and no one can sit for five or six hours in front of a computer and consume. So we really cut down and tightened up our key messages. That I think was critical. I think the mix of live and on demand was really powerful and something to think about, but the last thing I would say is that how you progress and follow up on that interest, we all know how to do it in the event. You know, you sit down with your client, and you just watch today in sessions, you have a beer, you're probably watching some 80's band play, and you're talking about what you like, what you think what's exciting to you. What are your challenges? In a digital world that's harder for our client reps and our sellers, and so really thinking of the onset, and how do we make sure we create the space for those conversations after the event is critical. >> Great. Well, Michelle, so where do you and the IBM team take all those learnings? You know, engagement absolutely critical as you talked? What What should we expect to be seeing from IBM through the rest of 2020 when it comes to digital apps? >> I think we'll do things really differently from here on out. I mean, I think that, you know, of course we'll go back to live physical experiences at some point when it's safe for all of us. It is in certain parts of the world already, but we have a series of Think summits coming up all around the world, that idea that you can really engage bigger audiences, we can give them time to make the most of this. They don't have to spend money flying somewhere to really go deep. That's exciting to me. I think we've learned so much. So stay tuned for the Think regional summits happening all around the world, and and I hope we continue to innovate and bring the best of physical and digital into a new brand of experiences and events. >> Yeah, it's really fascinating stuff, Michelle, right? Not only do you get to reach a global audience, but you have the opportunity to personalize things a little bit more. >> Yeah. >> So, thank you so much for joining us. Definitely... >> It's always great to see you. >> Hope to see more and more on the summit's going forward. >> Terrific, always great to see you, and always thank you for your partnership. >> All right. Thank you for watching. I'm Stu Miniman, and as always, thank you for watching theCUBE. (calming music)

>> Live from Las Vegas, it's theCUBE, covering Dell Technologies World 2019. Brought to you by Dell Technologies and its ecosystem partners. >> Hey, welcome back to Las Vegas. Lisa Martin with Dave Vellante of theCUBE on our second day of wall-to-wall coverage of Dell Technologies World 2019, and we're welcoming one our guests back to theCUBE. We've got Rüya Barrett, VP of product marketing from the Data Protection Division. Rüya, it's great to have you back on the program. >> Great to be here, thank you for having us. >> And from Under Armor, a brand everybody knows, Nick Hennessy, Senior Manager, Compute and Storage. Nick, welcome, it's great to have you here. >> Great, thank you guys very much. >> So Rüya, we'll start with you. We've had, this is, you can hear all the energy behind us. And if you can hear dogs barking, by the way, that's normal. We've got some dogs next to our-- Lots of energy yesterday and today. Everything about data as this asset, and I think Michael said yesterday, that it's inexhaustible. You guys did an interesting recent survey with over 2,000 IT decision makers. With respect to data and getting their hands on it, what are some of the really interesting things that you've learned about that? >> Yeah, there were some really great takeaways. Great question. One, it's not a surprise to anyone, People have more data than ever to manage. There was over 586% growth in the last two years in terms of how much data on the average customers are managing. So that's a given, not a big surprise. One of the key things that we saw was that they value data. These people surveyed value data more than ever. So it was 96% value data more than they ever did, and 36% of them have already started monetizing data. So it's critical for accounts now, and one of the issues that they brought up for not being able to recover data, around data protection, was that if they can't recover data, they have new concerns now. Loss of opportunity, loss of bringing products to market, loss of competitive advantage, which are issues that we have never heard before because this is the third time we did the survey. We did it first in 2014, 2016, and we just did the 2018 survey. So those were some of the key really big takeaways for me from that survey that we did. >> So if they value it, they've got to protect it. >> Yeah. >> Alright, so Nick, Under Armour, a brand I mentioned everybody knows and wears. You guys have a great brand reputation. And you have some great brand ambassadors. I've got to mention Steph Curry. We have established Nick as a Lakers fan. And I have to point out, Dave, that you're wearing a Warriors colored tie today. Just got to say. >> I won't be if the Celtics make it to the finals though. >> But also Tom Brady's a brand ambassador. We've got Tommy boy covered, Lindsey Vonn. So you've got this great brand of reputation. How does Under Armour, to Rüya's point, value that data and leverage that data to keep and grow that brand reputation? >> Well, you know one of the things about data is, at Under Armour, we call the data is the new gold. So to us, it's very important, especially to our consumers, stuff that we're gathering at the retail stores, and kind of tracking all that stuff. So in order for us to protect that data, we're using Dell Technologies as sweeter products. And it's been working out great for us. >> So paint a picture, Nick, what are you protecting? What's the infrastructure look like, the applications, I know big SAP shop. But what's it look like, what are you protecting? >> So in terms of data, we're protecting over a thousand virtual machines, Two plus petabytes of data, everything in our five regional hubs. So it's quite a bit, it's quite a chore, especially for a small team like we have. >> So you mentioned data is the new gold. I have this idea that it's even more valuable than gold 'cause you can only use gold once. You can't spend it multiple places, data. And I think, correct me if I'm wrong, but Under Armour's ascendancy really coincided with strong technology ethos, very strong use of data, understanding of customers, and technology of sports clothing. So how are you using data to drive competitive advantage? >> Yeah, so very interesting. The brand and the culture is very infectious. So it's like, rah rah, let's go out and get it. That works into how we work IT in our everyday lives. So we kind of take that and kind of run with it. >> So what were you doing before you guys started working with Dell EMC? Talk to us about some of the challenges that you faced before you were using a different solution, so some of those opportunity costs that Rüya mentioned, in terms of if we can't monetize this, we're going to miss opportunities to identify new products our customers want, bring it to market. Walk us through your journey. >> Yeah, so I joined Under Armour about four years ago. And we really set the foundation with our three-year road map. Year one, build the foundation. It was really aligning what we were going to do, right, aligning with Dell Technologies, we're using all of your products. Year two was really architecting the future. And that's where things such as data protection really helped us out. We needed stuff that was easy to deploy, things that, for a small team to manage, that we don't have to think about it. We can sleep easy at night. It really aligned with our road map. >> So historically, data protection has been insurance. Rüya, you and I have talked about this for a long long time. Nobody likes to buy insurance, but you got to do it. Are you trying to move beyond that sort of one use case equation into new areas of value, whether it's compliance, whether it's data analytics. Are you able to use the corpus of data that you're protecting, and the management of that data in new ways? And if so, how? >> Yeah, in terms of the management for our small teams, we need something really easy. But security always comes to mind, so that's built into the product as well. But things moving to the cloud, scalability, things that we want to do in the future, we're really setting that up now. And us doing a huge storage refresh a couple months ago, we really flattened out, and we're using all brand new products. Now we're ready to scale the cloud. >> Rüya, you say that in the customer base, that people are trying to move beyond just straight back-up. >> Definitely. >> It's becoming increasingly new world, digital transformation, hybrid clouds. What are you seeing? >> Oh my god, yeah there's a ton of demand right now for customers to be able to leverage data, regardless of where it lives. So primary data, secondary data, tertiary copies, cloud data. How do you really start gaining business insights regardless of where data is? And how do you make sure that it's constantly recoverable under any circumstance. So one of the other things that we found in that study, again, is that there's new threats. So cyber recovery has become, and ransomware, and cyber recovery has become such a foundational consideration for customers. Being able to also spin up VMs regardless instantly. We just announced the X400 PowerProtect, which is very exciting and was part of today's announcement. It's all flash, and the reason it's all flash is because the use cases such as data reuse, app test and development, being able to test disaster recovery scenarios or cyber recovery scenarios real time, these are all critical use cases that you couldn't imagine doing years ago on your protection data. So we're really excited about both the PowerProtect announcement, as well as the Integrated Data Protection Appliance announcement. So you and I, Dave, have talked a lot about the Integrated Data Protection Appliance and simplicity and efficiency and breadth of coverage and cloud capabilities. Under Armour actually is a big proponent. They use cloud very prolifically, in terms of their IT environment. And IDPA really fit that need for them, in terms of being able to really drive costs out of their environment through efficiency, have that protection performance, just the foundational capabilities, yet still be able to offer some of those new innovation and the cloud capabilities, as well as automation. >> Alright, so we've heard from the marketing pro. Nick, now we got to hear from the customer. I heard simple, efficient, so how simple, how efficient, how do you measure these things? How does it compare with other products that you've looked at? >> Well, the product that we had before, we used Avamar Data Domain, and the problem that we had with it, it was decentralized. So we were managing a regional hub separately. So by refreshing, as we did, it got very simple. Now we have a centralized management. We were able to reduce 40 to 1 ratio. We're getting reductions, before we were getting 92 to 93%. Now we're getting 98, 99%. More importantly, for me, reporting. So able to produce those reports, we didn't have that before, so it's been really great. >> And how do those internal benefits that you talked about manifest out through the organization and really drive, like we talked about earlier, brand reputation or Under Armour being able to use that valuable data to identify new insights and act on the new product streams to delight, say, Tom Brady, for example. >> Well not only does it make-- >> You know he cares. (laughing) >> We certainly care about Tom Brady. >> I know! >> It makes my life a lot easier, right? So I'm able to take this data, it allows me to think, it allows the teams to be agile. Can you use that data to promote other projects, other ideas, things that we really want to do in the future to kind of push the brand even farther. >> When you guys meet privately, what kind of things, Nick, do you ask Rüya and her team at Dell EMC to do that will make your life easier? >> Quite honestly, the Dell team that we work with is wonderful. Really, we ask for a partner, someone that works with us, someone that understands us, understands our pain and is in there with us, so that we can really work on solutions together. >> Okay, obvious question, is that why you work with these guys? 'Cause of the strong partnership? Two part question, and what about the product? Is the product in your opinion, based on what you've evaluated, best of breed relative to other competitive products that are out there. >> Yeah, we did look at some other competitor products. We believe that it is best of breed. And that's why we chose to partner with Dell Technologies. >> So a lot of news yesterday and today, everything around multi-cloud. Customers are in this multi-cloud world for a variety of reasons. With the partnership that you've established with Dell Technologies and Rüya's group, what are some of the things that you've heard from Michael, from Pat, from John, Jeff, that really resonated with you that, ah, Dell Technologies is listening to customers like Under Armour and others as they're developing, helping you to really tackle this multi-cloud world with a lot of success. >> Yeah, so one of the things that was really exciting was part of the keynote yesterday with the SDDC. You can spin up a data center at the click of a button nowadays, and that resonates with us because it's going to make our lives really easy. We're going to be more agile. We can speed up and really take the brand farther. >> So you mentioned cloud before. I think Rüya said you've got multiple clouds. You have multiple clouds, is that right? >> We have a hybrid cloud infrastructure. >> So you've got multiple public clouds, is that correct? Obviously. >> Yes. >> You've got SAS, you've got on-prem stuff, and you try to make them all look the same, substantially similar from a control plan standpoint? >> We try. (laughs) >> It's a journey. >> Yes. >> I get that. But there's also the operating model. And I want to follow up with, are you enabling, whether it's DBAs or application owners, to do their own back-ups, do their own recoveries, do their own analytics, et cetera. Is that where you're headed, are you there today? Is it something that you don't want to do? Can you elaborate? >> That's the idea is to try and make everyone's life a lot easier. And being part of the Compute and Storage team, we're really stuck in the middle of all teams. Applications teams come to us. Sequel teams come to us, networking teams. So we really have a lot of responsibility on our plate. In order to make our lives simpler, we have to enable all these teams to do it themselves, and that's really where we're headed. >> Well, great stuff guys. Nick, Rüya, thank you so much for joining Dave and me on the program this afternoon. And go Warriors. >> Ahh. >> I said it. (laughs) >> For Dave Vellante, who again is wearing a Warriors colored tie. I'm Lisa Martin, you're watching theCUBE live from Las Vegas. Okay. >> I do. >> Alright. >> I like the Warriors. >> Alright, good, see and I mentioned Tom Brady-- >> I like them a lot better than the Lakers, sorry Nick. I can't get over that. >> I'm not sorry. I was saying, we're at VM (laughs). No, we're not at VM World, we're at Dell Technologies World. Oh my goodness, Lisa Martin for Dave Vellante, thanks for watching. (electronic music)

>> Live from Stanford University, it's theCUBE. Covering Global Women in Data Science Conference. Brought to you by SiliconANGLE Media. >> Welcome back to theCUBE I'm Lisa Martin. We've been live all day at the fourth annual Women in Data Science Conference. I'm with John Furrier, John, this is not just WiDS fourth annual, it's theCUBE's fourth time covering this event. There were, as Margot Gerritsen, Co-Founder stopped by this afternoon and was chatting with me saying, there's over 20,000 people they expect today just to watch the WiDS livestream from Stanford. Another 100,000 engaging in over 150 regional WiDS events, and 50 countries, CUBE's been there since the beginning tell us a little bit about that. >> Well what's exciting about this event is that we've been there from the beginning, present at creation with these folks. Great community, Judy Logan, Karen Matthys, Margot. They're all been great, but the vision from day one has been put together smart people, okay, on a stage, in a room, and bring it, syndicate it out to anyone who's available, meet ups and groups around the world. And if you bet on good content and quality people the community with self-form. And with the Stanford brand behind it, it really was a formula for success from day one. And this is the new model, this is the new reality, where, if you have high quality people in context, the global opportunity around the content and community work well together, and I think they cracked the code. Something that we feel similar at theCUBE is high quality conversations, builds community so content drives community and keep that fly wheel going this is what Women in Data Science have figured out. And I'm sure they have the data behind it, they have the women who can analyze the data. But more importantly is a great community and it's just it's steamrolling forward ahead, it's just great to see. 50 countries, 125 cities, 150 events. And it's just getting started so, we're proud to be part of it, and be part of the creation but continue to broadcast and you know you're doing a great job, and I wish I was interviewing, some of the ladies myself but, >> I know you do >> I get jealous. >> you're always in the background, yes I know you do. You know you talk about fly wheel and Margot Gerritsen we had her on the WiDS broadcast last year, and she said, you know, it's such a short period of time its been three and a half years. That they have generated this incredible momentum and groundswell that every time, when you walk in the door, of the Stanford Arrillaga Alumni Center it's one of my favorite events as you know, you feel this support and this positivity and this movement as soon as you step foot in the door. But Margot said this actually really was an idea that she and her Co-Founders had a few years ago. As almost sort of an anti, a revenge conference. Because they go to so many events, as do we John, where there are so many male, non-female, keynote speakers. And you and theCUBE have long been supporters of women in technology, and the time is now, the momentum is self-generating, this fly wheel is going as you mentioned. >> Well I think one of the things that they did really well was they, not only the revenge on the concept of having women at the event, not being some sort of, you know part of an event, look we have brought women in tech on stage, you know this is all power women right? It's not built for the trend of having women conference there's actual horsepower here, and the payload of the content agenda is second to none. If you look at what they're talking about, it's hardcore computer science, its data analytics, it's all the top concepts that the pros are talking about and it just happens to be all women. Now, you combine that with what they did around openness they created a real open environment around opening up the content and not making it restrictive. So in a way that's, you know, counter intuitive to most events and finally, they created a video model where they livestream it, theCUBE is here, they open up the video format to everybody and they have great people. And I think the counter intuitive ones become the standard because not everyone is doing it. So that's how success is, it's usually the ones you don't see coming that are doing it and they think they did it. >> I agree, you know this is a technical conference and you talked about there's a lot of hardcore data science and technology being discussed today. Some of the interesting things, John, that I really heard thematically across all the guests that I was able to interview today is, is the importance, maybe equal weight, maybe more so some of the other skills, that, besides the hardcore data analysis, statistical analysis, computational engineering and mathematics. But it's skills such as communication, collaboration collaboration was key throughout the day, every person in academia and the industry that we talked to. Empathy, the need to have empathy as you're analyzing data with these diverse perspectives. And one of the things that kind of struck me as interesting, is that some of the training in those other skills, negotiation et cetera, is not really infused yet in a lot of the PhD Programs. When communication is one of the key things that makes WiDS so effective is the communication medium, but also the consistency. >> I think one of the things I'm seeing out of this trend is the humanization of data and if you look at I don't know maybe its because its a women's conference and they have more empathy than men as my wife always says to me. But in seriousness, the big trend right now in machine learning is, is it math or is it cognition? And so if you look at the debate that machine learning concepts, you have two schools of thought. You have the Berkeley School of thought where it's all math all math, and then you have, you know kind of another school of thought where learning machines and unsupervised machine learning kicks in. So, machines have to learn, so, in order to have a humanization side is important and people who use data the best will apply human skills to it. So it's not just machines that are driving it, it's the role of the humans and the machines. This is something we have been talking a lot in theCUBE about and, it's a whole new cutting edge area of science and social science and look at it, fake news and all these things in the mainstream press as you see it playing out everyday, without that contextual analysis and humanization the behavioral data gets lost sometimes. So, again this is all data, data science concepts but without a human application, it kind of falls down. >> And we talked about that today and one of the interesting elements of conversation was, you know with respect to data ethics, there's 2.5 trillion data sets generated everyday, everything that we do as people is traceable there's a lot of potential there. But one of the things that we talked about today was this idea of, almost like a Hippocratic Oath that MDs take, for data scientists to have that accountability, because the human component there is almost one that can't really be controlled yet. And it's gaining traction this idea of this oath for data science. >> Yeah and what's interesting about this conference is that they're doing two things at the same time. If you look at the data oath, if you will, sharing is a big part, if you look at cyber security, we are going to be at the RSA conference this week. You know, people who share data get the best insights because data, contextual data, is relevant. So, if you have data and I'm looking at data but your data could help me figure out my data, data blending together works well. So that's an important concept of data sharing and there's an oath involved, trust, obviously, privacy and monitoring and being a steward of the data. The second thing that's going on at this event is because it's a global event broadcast out of Stanford, they're activating over 50 countries, over 125 cities, they're creating a localization dynamic inside other cities so, they're sharing their data from this event which is the experts on stage, localizing it in these markets, which feeds into the community. So, the concept of sharing is really important to this conference and I think that's one of the highlights I see coming out of this is just that, well, the people are amazing but this concept of data sharing it's one of those big things. >> And something to that they're continuing to do is not just leverage the power of the WiDS brand that they're creating in this one time of year in the March of the year where they are generating so much interest. But Margot talked about this last year, and the idea of developing content to have this sustained inspiration and education and support. They just launched a podcast a few months ago, which is available on iTunes and GooglePlay. And also they had their second annual datathon this year which was looking at palm oil production, plantations rather, because of the huge biodiversity and social impact that these predictive analytics can have, it's such an interesting, diverse, set of complex challenges that they tackle and that they bring more awareness to everyday. >> And Padmasree Warrior talked about her keynote around, former Cisco CTO, and she just ran, car, she's working on a new start up. She was talking about the future of how the trends are, the old internet days, as the population of internet users grew it changed the architecture. Now mobile phones, that's changing the architecture. Now you have a global AI market, that's going to change the architecture of the solutions, and she mentioned at the end, an interesting tidbit, she mentioned Blockchain. And so I think that's something that's going to be kind of interesting in this world is, because there's, you know about data and data science, you have Blockchain it's the data store potentially out there. So, interesting to see as you start getting to these supply chains, managing these supply chains of decentralization, how that's going to impact the WiDS community, I'm curious to see how the team figures that out. >> Well I look forward to being here at the fifth annual next year, and watching and following the momentum that WiDS continues to generate throughout the rest of 2019. For John Furrier, I'm Lisa Martin, thanks so much for watching theCUBE's coverage, of the fourth annual Women in Data Science Conference Bye for now. (upbeat electronic music)

>> Live from Stanford University it's theCUBE. Covering Global Women in Data Science Conference. Brought to you by SiliconANGLE Media. >> Welcome back to theCUBE's live coverage of Women in Data Science fourth annual global conference. I'm Lisa Martin here at the Arrillaga Alumni Center at Stanford joined by, a WiDS speaker and Standford alum Madeleine Udell. You are now an assistant professor at Cornell University. Madeleine welcome to theCUBE. >> Thank you it's great to be here. >> So this is your first WiDS. >> This is my first WiDS. >> But you were at Stanford a few years ago when the WiDS movement began. So tell us a little bit about what you do at Cornell. The research that you do, the classes that you teach, and the people men and women that you work with. >> Sure so at Cornell I'm studying optimization and machine learning. I'm really interested in understanding low dimensional structure in large messy data sets. So we can figure out ways of looking at the data set that make them seem cleaner, and smaller, and easier to work with. I teach a bunch of classes related to these topics. PhD classes on optimization and on optimization for machine learning. But one that I'm really excited about is an undergrad class that I teach called, Learning With Big Messy Data. That introduces undergraduates to what messy data sets look like which they often don't see in their undergraduate curriculum. And ways to wrangle them into the kinds of forms that they could use with other tools that they have learned about as undergraduates. >> You say messy, big messy data. >> Yes. >> With a big smile on your face. >> Yes. >> So this is something that might be introduced to these students as they enter their PhD program. Define messy data and some applications of it. >> Often times people only learn about big messy data when they go to industry and that's actually how I understood what these kinds of data sets looked like. I took a break from my PhD while my advisor was on sabbatical and I scampered off to the Obama 2012 campaign, and on the campaign they had these horrible data sets. They had you know hundreds of millions or rows. One for every voter in the United States, and maybe tens of thousands of columns about things that we knew about those voters. And they were weird kinds of things, right? They were things like gender, which in this data set was boolean, State, which took one of fifty values, Approximate education level, Approximate income weather or not they had voted in each of the last elections and I looked at this and I was like I don't know what to do, right? these are not numbers, right? They are boolean, they're categorical they're ordinals and a bunch of the data was missing so there were many people for which we didn't know their level of education or we didn't know their approximation of income or we didn't know weather or not they had voted in the last elections. So with this kind of horrible data set how do you do like basic things, how do you cluster, how do you even visualize this kind of data set so I came back to my PhD thinking, I want to figure out how this works I want to figure out the right way of approaching this data set Cause a lot of people would just sort of hack it and I wanted to understand what's really going on here what's the right model to think about this stuff. >> So that really was quite influential in the rest of your PhD and what your doing now, cause you found this interesting but also tangible in a way, right? especially working with a political campaign >> That's right so, I mean I'm both interested in the application and I'm interested in the math so I like to be able to come back to Stanford at the time we're now at Cornell and really think about what the mathematical structure is of these data sets what are good models for what the underlying latent spaces look like, but then I also like to take it back to people in industry, take it back to political campaigns but you know here at WiDS I'm excited to tell people about the kinds of mathematics that can help you deal with this kind of data set more easily. >> Did you have a talk this afternoon called filling in missing-- >> Yup >> Data with low rank models >> that's right >> One of the things before we get into that, that id love to kind of unpack with you is looking at, taking the campaign Obama 2012 campaign messy data as an example of something that is interesting there's a lot of science and mathematics behind it but there's also other skill I'd like to get your perspective on and that's creativity that's empathy it's being able to clearly understand and communicate to your audience, Where do those other skills factor into what you do as a professor and also the curriculum you're teaching >> Sure, I think they are incredibly important if you want your technical work to have an impact you need to be able to communicate it to other people you need to make, number one make sure you are working on the right problems which means talking to people to figure out what the right problems are and this is one aspect that I consider really fundamental to my career is going around talking to people in industry about what problems they are facing that they don't know how to solve, right? Then you go back to your universities you squirrel away and try and figure it out, often sometimes I can't figure it out on my own so I need to put together a team, I need to pull in other people from other disciplines who have the skills I don't have in order to figure out the full solution to the problem, right? Not just to solve the part of the problem that I know how but to solve the full problem I can see and so that also requires a lot of empathy and communication to make the team actually produce something more than what the individual members could. Then the third step is to communicate that result back to the people who could actually use it and put it into practice, and for that you know that's part of the reason I'm here at WiDS is to try show people the useful things I think that I've come up with but I'm also really excited to talk to people here and understand what gnarly problems do they not know how to solve yet. >> There's a lot of gnarly problems out there, love that you brought that word up >> (laughter) >> But I'm just curious before we go further is understanding did you understand when you was studying mathematics, computational engineering data science did you understand at that point the other important skills. A collaboration of communication or did you discover that along the way and is that something that is taught today to those students these are the other things we want to develop in you >> Yeah I think we barely teach those skills, >> Really? I think at the earliest level there's a lot of focus on the technical skills and it's hard to see the other skills that are going to enable you to get from 90 to 100% but that 90 to 100% is the most important part. Right? If you can't communicate your results back then it doesn't do so much good to have produced the results in the first place, >> Right but really a lot of the education right now at most universities is focused on the technical core and you can see that in the way we evaluate student, right? We evaluate them on their homework which are supposed to be individual on their test performance, right? maybe their projects and the projects I think are much better at helping them develop these skills of communication and teamwork, but that's you know not included in most courses because frankly it's hard to do it's hard to teach students how to work on projects It's hard to get them topics, it's hard to evaluate their results on their projects it's hard to give them time to present it to a group, but I think these are critical skills, right? The project work is much more what works becomes after they finish their studies. >> As you've been in the STEM fields for quite a while and gone so far in your academic career, tell me about the changes that you've seen in the curriculum and do you think you're going to have a chance to influence some of those other skills communication when I was in grad school studying biology, communication a long time ago was actually part of it for a semester but I'm just wondering do you think that this is something that a movement like WiDS could help inspire. >> I think it's important to help people see what, the skills they are going to need to use down the line I think that sometimes, the thing is I think that the technical foundation is really important and I think that doubling down on that particularly when your young and can concentrate on the, on the nitty gritty details I actually think that's something that becomes harder as you get older And so focusing on that for people on their undergrad and early PDH I think that actually makes sense but you want them to see what the final result is, right? You want them to see like what is their career and how is that different from what they are doing right now So I think events like WiDS are really great for showcasing that but I would also like to sort of pull that forward, to pull that project work forward, to the extent possible with the skills that the students have at any point in their curriculum in the class that I teach in big messy date the cap stone of the course is, class project where the students tackle a big messy data set that they find on their own, they define the problems and the form of what they are supposed to produce is supposed to be a report to their manager, right? To say the project proposal says, "manager this is why I should be allowed to work on this "project for the next month because it's so important "it's really going to drive growth in our business it's going to "open up new markets" But they're supposed to describe it industry terms not just academic terms, right? Then they try and figure out actually how to solve the problem and at the end they're supposed to once again write a report that's describing how what they found will help and impact the business >> That element of persuasion is key-- >> That's right that's right >> So the last thing here as we wrap up this is the fourth annual women in data science conference that I mentioned in the opening. The impact and the expansion that they have been able to drive in such a short period of time is something that I always loved seeing every year there's is a hundred and fifty plus regional events going on they're expected to reach a hundred thousand people what excites you about the opportunity that you have to present here at Stanford later today? >> I think that it's amazing that there is so many people that are excited about WiDS, I mean I can't travel to a hundred and fifty locations certainly not this year, not in many many years so the ability to, to be in touch with so many people in so many different places is really exciting to me I hope that they will be in touch with me too that direction is a little be harder with current technology but I want to learn from them as well as teaching them. >> Well Madeleine thank you so much for sharing some of your time with me this morning on theCUBE we appreciate that, and wish you good luck on your WiDS presentation this afternoon >> It was really fun to talk with you, thank you for having me here >> Ah my pleasure >> We want to thank you, you're watching theCUBE live from the forth annual women in data science conference WiDS here at Stanford, I'm Lisa Martin stick around I'll be right back after a break with my next guest. 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[Announcer] Live from Stanford University, it's The Cube! Covering global women in Data Science Conference. Brought to you by SiliconeANGLE Media. >> Welcome back to The Cube. I'm Lisa Martin, live at Stanford University for the fourth annual Women in Date Science Conference, hashtag WiDS2019. We are here with Kavita Sangwan, the Director of Technical Programs, Artificial Intelligence and Machine Learning at Intuit. Kavita, it's wonderful to have you on the program. >> Thank you, pleasure is all mine. >> So Intuit is a global and visionary sponsor of WiDs, and has been for a couple of years. Talk to us a little bit about Intuit's sponsorship of this WiDs movement. >> Sure, well, Tech Women at Intuit has been important part of our culture. It was founded sometime a couple of years back from our previous CTO Taylor Stansbury. He was the founder and sponsor for it, and it has been getting the continuous support and sponsorship from our current CTO, Marianna Tessel. We highly believe that diversity in inclusion, and diversity in talks, and diversity in employees, is an important aspect for our company because that kind of helps us to deliver awesome product experiences and seamless experiences to our customers. This is our second year at WiDs, and we are proud to be part of this event today. >> It's growing tremendously, you know I mentioned it as a movement, and in three and a half years, this is the fourth annual, as I mentioned, and Margot Gerritsen, one of the co founders, chatted with me a couple hours ago and said they're expecting 20,000 people to be engaging today alone. The live stream at the event here at Stanford, but also the impact that they're making. There's a 150 plus regional events going on around this event in 50 plus countries. >> So it's the... You and I were chatting before we went live that you feel this, this palpable energy when you walk in. Tell me a little bit about your role at Intuit, and how you're able to really kind of grow your career in this organization that really seems to support diversity. >> Sure, I head the Technical Program Management for Intuit Data Science Organization, so it's all about data, data science, AI Machine Learning. We apply and imbed AI Machine Learning across all of our product suites. And also try to apply AI Machine Learning in different other aspects as well. Some of the focus areas where we applying AI Machine Learning is making our products smart, security risk and fraud space, where we are all several steps ahead of the fraudsters. Also, in customer success space, and also within the organization, the products and services our work employees use to make their experiences amazing. I have been with Intuit for almost three years now, and it has been an amazing journey. Intuit is such a... It embraces diversity, and it's because of its diverse, durable, innovative culture, I think Intuit has been in Silicone Valley as a strong force for over 35 years. >> So when we think about Data Science, often we think about the technical skills that a data scientist would need to have, right? It's the computational mathematics and engineering, being able to analyze data, but there's this whole other side that seems to be, based on some of the conversations that we've had, as important but maybe lagging behind, and that is skills on being a team player, being collaborative, communication skills, empathy skills. Tell me about, from your perspective, how do you use those skills in your daily job, and how does Intuit maybe foster some of those communication negotiation skills as equal importance as the actual data itself? >> It's very important for us, as we hire our top talent in our organization to empower and grow that top talent as well. We do that by providing them opportunities to learn from different sessions we host around executive presence, negotiation skills, public speaking skills. In addition to advancing them in their technological space. As you rightly said, it's very important for us to operate in a team setting. You know, a data scientist has to interact with a product manager, and a data engineer, a business person, a legal person, because there is questions about security and privacy. So there are so much interactions happening across functional space, it is very important for us to be a team player, and having the ability to have those conversations in the right way. So, Intuit invests heavily, not just in the technology space to advance women, but also in all the other ancillary spaces, which are equally important to be successful as you advance in your career. >> So, as our viewers understand Intuit, I'm a user of it as well for my business, who understand it to a degree. What do you think would surprise our viewers about how Intuit is applying Data Science? >> So, it's important to know that we operate with a customer's mindset. Everything we do starts with our customers, and it's very important for us to build a culture which reflects the values, and the talent, and the skills of our customers. And that is why I said it's very important for us to have diversity in our teams. Our most opportunistic areas for investment in the AI machine learning is the smart products space where we are heavily investing to make our products intelligent, customize it according to the needs of our customers, and giving them great insights for our customers to save them money, make them do less work, and build more confidence in our product suites. >> Confidence, that word kind of reminds me of another word that we hear used a lot around data, and I'm making it very general, but it's trust. That's something that is critical for any business to establish with the customer, but if we look at how much data we're all generating just as people, and how every company has a trail of us with what we eat, what we buy, what we watch, what we download. Where does trust come into play, if you're really designing these things for the customer in mind, how are you delivering on that promise of trust? >> It's very rightly said, just to add to that sentiment, it has been shared in some articles that we have accumulated so much data in the last two years which is more than what we have accumulated in the last five thousand years of humanity. It is really important to have trust with your customers because we are using their data for their own benefits. Intuit operates with the principle and the mindset that this our customer's data, and we are their stewards. We make sure that we are one of the best stewards for their data, and that's what we reflect in our products, how we serve them, build intelligent products for them, and that's how we start to gain trust from our customers. >> And I imagine being quite transparent in the process. >> That's true, yes. >> So in terms of your career, I was doing some research on you, and I know that you love to give back to the community by being a champion for women in technology, encouraging young girls in STEM towards building that community. Tell me a little bit about your career as we are here at WiDS at Stanford there's a lot of involvement in the student community. Tell me a little about your background and what some of your favorite things are about giving back to the next generation. >> Sure, I actually, when I graduated from engineering, I was one of the four women students out of the, maybe, a class of around 50 students. So I think it struck me right there that there is a disparity in the industry, in the education system, and then in the industry. I felt the same thing in my different companies where I worked, and that always led me to a point that I actually, rather than just being observing this from afar, why can't I be the one who moved the needle on this? That led me to a point where I started collaborating within the companies, started forming teams, and started working with the teams who were already there to move the needle in technical women's space. I think, if I reflect back in my journey, a couple of things that stand out for me is passion for what you do, and I am really passionate about what my goal is and I try to line up my work according to that and that's why this women in tech, something which is close to my heart and I'm passionate about, always comes forward whenever I do something. The second important aspect is, I've always thrown myself into situations which I've never done before. For example we were offline talking about hackathon, which is DevelopHer. I had never done any hackathons before because I was so passionate about doing it, I just threw myself in and I ran that hackathon. And then the third thing is being persistent about what you do. I mean, you can't just do one thing and then drop it and then come back after a few weeks and then do it again. You have to have that consistency of doing it, only then do you start moving the needle. I think when I reflect and look back, these three things stand out for me and that has applied in my own personal career, as well as everything I do in my life. >> How do you give, and the last question, it seems like you sort of have that natural passion, I love this, this is what I want to do, you were persistent with it, how do you advise younger girls who might not have that natural passion to really develop that within themselves? >> I think experiment and explore. When you try to do different things, only then you find out where your passion lies. Just don't be scared of throwing yourself into a situation which you have never dealt before. Always try to find new things and throw yourself in an uncomfortable situation, and try to get out of it. It helps you become super bold, and gives you confidence, and that's the way to find what you're naturally passionate about. >> I like that, I like to say get comfortably uncomfortable. Last question in the last few seconds, I just want you to have the opportunity to tell our viewers where they can go to learn more about Intuit and their Data Science jobs. >> Yes, you can always go to intuit.com, and intuitcareers.com, and learn about the great opportunities we have for Intuit and Data Science. >> Excellent, well Kavita, it's been a pleasure to have you on The Cube this afternoon. Thank you for stopping by, and also for sharing what Intuit is doing to support WiDS. >> Thank you, it was my pleasure, thank you so much. >> We want to thank you for watching The Cube, I'm Lisa Martin live from the WiDS fourth annual WiDS global conference at Stanford. Stick around, I'll be right back with our next guest.

>> Live, from Stanford University, it's theCUBE! Covering Global Women in Data Science Conference, brought to you by SiliconANGLE Media. >> Welcome back to the CUBE, continuing coverage of the forth annual Women in Data Science Conference or WiDS, I am Lisa Martin, we are live at Stanford University but WiDS is going on at a 150 plus regional events in more than 50 countries. In fact there are 20 thousand people expected to be engaging with our livestream today. Joining us on the program is Kristina Draper, the chief technology officer at Wells Fargo, Wells Fargo, one of the sponsors, Kristina welcome to theCUBE. >> Thank you so much Lisa, it's a real pleasure to be here. >> So this is the forth annual WiDS, and as I was mentioning some of the numbers, it's incredible, the momentum that this event has generated, we'd like to call it a movement. Tell a little bit about your involvement in WiDS, as well as Wells Fargo's involvement as a sponsor. >> Yes, um, so we are really honored to be able to be a part of WiDS. I was introduced to WiDS from an employee of mine, Catherine Lee, she joined our team just about a year ago, and she's been part of WiDS since the Inception. So working with Margo and the team and we believe so strongly that in the consumer bank space we have a tremendous opportunity and responsibility to understand how our customers interact with Wells Fargo and that will require a discipline around data science and so we had an opportunity, and had asked this year to be an executive sponsor and we jumped at it and I think we'll continue to be here at that sponsor level in future years. >> So you've been in Wells Fargo for a long time, tell me a little bit about your background of rising to become the chief technology officer. >> Sure, thank you so much for the question. It's been an interesting journey, I haven't always been at Well. So I did a few start ups here in the Silicon Valley. Um, kind of middle of my career and I came back to Wells Fargo. Most recently, I have a responsibility for the consumer bank technology space, that's the majority of branch technology. It's all of the ATMs, the point of sale network for customers. It also is a lot of business services, so how we think about services oriented architecture to ensure that we're always thinking about our customer and their accounts, in a consistent way regardless of how customers interact with Wells Fargo. So, all channels consistently trusted, so that data set's really important. And then, I also have the customer feedback and customer complaints so the idea that from survey all the way through complaints are being able to understand how our customers are interacting with us. >> And data is an interesting topic, because it's to broad. And I think so many people now across generations understand data privacy, to some degree you can think of you know, the baby-boomers that were affected by the Facebook information and things being shared. From a financial perspective, tell as a little bit about the discipline of data science, not just from the technology background and understanding that your team needs to have, but also other skills such as empathy, communication, negotiation, how are all of those contribute to what your team is delivering? >> Yeah, I would tell you we are in the business of trust. And three years ago, after sales practice came into Wells Fargo, was a very interesting time for our company. We kind of lost our way. And the opportunity with data science is an opportunity to reestablish trust with our customers. And so, you've seen a lot of the rebranding that Wells Fargo is doing in about... We were invented in 1852, but we're reinventing ourselves now. And we have to understand our customers, we have to know our responsibilities to be that trusted advisor to really care for our customers in every interaction. And so, I would think empathy, absolutely. Trust is all about every interaction consistent every time. And so, you think about even just a personal relationship and how you establish trust. It's very hard to reestablish trust, and so for us right now, the commitment to data science is about that reestablishing trust and to really thinking about every interaction with every customer and ensuring we're getting it right. >> You've been there a long time as I've mentioned, I'd love to understand your, some of the things that you've seen along the way as technology changes in terms of more females becoming interested, as we know that there was you know, from where we were in the 80s, where it has been a downwards spiral but you were recently named one of the 50 most powerful women in technology. What are some of the things as you think of how technology in Wells Fargo is re-imagining data and trust? What are the things that you've seen in terms of the evolution of females in technology and in leadership roles? >> Sure, absolutely. Thank you so much. You know think about industry recognition, and I think about how important it is to recognize women's value in the industry. So the recognition women in technology and most powerful women for me, it's an opportunity to really demonstrate that we should be very confident in the value that we bring as leaders, and that confidence as a woman is hard to come by. I think of my own personal career and the way that doors were opened for me along the way often we are our own worst enemies we second guess ourselves, we second guess our value, and we have to really work for that seat at the table. There's certainly been, I wouldn't have come back to Wells if I didn't believed that I had the right sponsors and the right mentors that were not only willing to help me kind of see the doors to walk through but to walk through those doors. And so my coming back to Wells was really about a opportunity as a leader in technology. I just had two start ups here in Silicon Valley, and so I was invited to come back and it was really the leaders and the leadership that brought me back to Wells. I felt I could make a real impact and I think that there's, when I think about the couple of jobs I've had since my second return to Wells Fargo it's really been about impact and recognizing my voice and starting to step into that accountability. When I think about what we can do as women leaders in technology and in data science a lot of it is owning that accountability to leadership and to really kind of paving the way for leaders behind us. There comes a part in a career certainly mine, where you no longer thinking about the next job for yourself and you know, I'm really fortunate that I've been able to get to a CTO level a tech division executive level, I have, you know the recognition on most powerful woman. But I don't do that alone. I do that with a team of women and men who've helped to really create value in the space that we're in. And we're in a consumer banking space and financial services and so there's certainly a lot of places to innovate, there's a lot of places to think about how technology can help to serve a Wells Fargo customer and if you think about when you need your bank you need your bank throughout your entire life. And whether you are thinking about a home purchase, an auto purchase, college for your children, retirement, there's so many big markers in life and that's where I get excited about, not only the leadership role that I have now, but I have the opportunity to bring a team with me to contribute real value. And so that's for me what really brought me back was an opportunity to have that impact to think about data science and technology in a way that there's true visible value being added to the market place to the industry. >> So it's almost like can we have pay it forward added to, how are you using that to expand your team with the right skills and the right people regardless of gender, regardless of any of that, to continue this big movement, this re-imagination that Wells Fargo is a business in undergoing. >> Yeah, well I would tell you WiDS is one way. WiDS is certainly a tremendous network opportunity if you think about the breadth and the reach across countries, across landscapes, across geographies, this is just one example of how I think about that. There's real power in relationships. There's real power in ability to establish not only a strong industry network a strong personal brand, but also a personal network. Even in the last couple of hours, WiDS started today, so inspired by the keynote speaker, so inspired about how they're turning data science and really thinking about different problems, different ways that we can improve, not only our lives, but the lives of future generations to come. I think part of how I think about it is finding that inspiration, because we have to inspire future generations of leaders, of women, and of men to really tackle the problem and have the right skills and confidence to be able to jump into that space. >> I agree with you. I think one of my favorite things in this, theCUBE has been covering WiDS since the beginning for four years and I always love coming here because you walk in and you immediately feel inspired. But you also feel that sense of collaboration, you talked about how important that is, not just for people that are in academia but in industry as well, you know I can't do what I do, you can't be a successful CTO at anywhere, at Wells Fargo let alone, any organization, without that collaborative spirit and I think I always feel that very strongly every time I walked in the door at a WiDS event, that people, they really do live up to their mission statement which is to inspire and educate women in data science and people in data science in general. >> Yeah, and I would offer that there's a lot of magic in the empty space, so the space in between and the way I would describe that is that so you come in to WidS data conference and certainly I come from a financial services background that the primary, you know, my primary professional background has been in financial services and technology, but the problems that our future generations will face can't be solved with just one lens. You can't solve problems with just a financial services expertise or just a technical expertise. You need to really look for how do you... It's the AND, and sometimes the space in between and bringing art and science. It's an ability to bring to think across industry and to apply solutions and innovation that have been brought forward through other industries, through other companies, through other academia and thinking about how that could apply in solving the problems that we're faced with in the financial services space. And so, to me coming to WiDS conference or spending time with the women that we'll meet in the room or the men that we'll meet in the room it's really about listening to their stories, listening to their passions, thinking about the problems they're solving and stepping back and identifying well, gosh if I really turned some of the problems that we're faced with upside down and thought about it with that perspective of with that lens, and maybe invited some people to your point, the collaboration to help solve problems with us, we might come up with a better answer, it's the space that's in between that might have called the difference. >> I like that! The space in between, there's so much applicability, I mean there's 2.5 quintillion data generated everyday across every industry. Whether it's you know, personal banking information or what we eat or where we travel, we do everything through mobile these days, and companies like Wells Fargo have such potential to be able to utilize that data to you know, create solutions that helps so many people. But you're right it's what can, how can financial services and the data that you deal with and to help customers and that sense, with the opportunity to influence all these other disciplines. I think that's one of the things that excites me about data science, it's how broad and symbiotic this discipline really is. >> Totally agree with you. And I have a new leader, Jason Strle, who just came in to Wells Fargo, just over a year ago, and he talks about a vision where we are 100 percent transparent in our data with our customers, so think about that value proposition in financial services, where there's a 100 percent data symmetry. What we know, you know. What you know, we know, when you want us to know it. And that can be so powerful, and that's really how we're thinking about the transformation around technology, the investment that we're going to make in data science, an AI and machine learning, because that 100 percent data symmetry comes back to trust. If we're a 100 percent transparent with everyone of our customers about what we know think about how that establishes trust. I mean that is a rock solid foundation for trust in the future, and I think that's really something that can be very powerful if we capitalize it, but we can't to it alone, we're going to need partners. We're going to need partners like so many of the companies in the academics that are in this room today. And we'll have to reach even broader because some of the solutions won't be found if we just look internal to Wells Fargo. >> Exactly. That diversity in so many ways is so impactful. Kristina, thank you so much for stopping by theCUBE and sharing with us some of the things that you're doing, how you've ascended to the CTO at Wells Fargo and how Wells Fargo is sponsoring in contributing to this WiDS movement, we appreciate your time. >> It's a real honor, thank you so much Lisa. >> Thank you! >> Pleasure! >> We want to thank you for watching the CUBE live at Stanford University, from the forth annual Women in Data Science Conference. I'm Lisa Martin. Stick around, my next guest will be here momentarily. (upbeat music)

live from Stanford University it's the cube covering global women and data science conference brought to you by Silicon angle media good morning and welcome to the cube I'm Lisa Martin and we are live at the global fourth annual women in data science conference at the Arriaga Alumni Center at Stanford I'm very pleased to be joined by one of the Wits ambassadors this year Regina cut of our math data science senior manager Accenture at Google and as I mentioned you are an ambassador for wits in Bangla Road the event is Saturday so Janelle welcome to the cube thank you pleasure it is - this is the fourth annual women in data science conference this year over 150 regional events of which you are hosting Bengaluru on Saturday March 9th 50-plus countries they're expecting a hundred thousand people to engage tell us a little bit about how you got to be involved in wins yeah so I care about data science but also what accurate representation of women in gender minority in the space and I think it's global initiative is doing amazing job in creating a significant impact globally and that kind of excited me to get involved with its initiative so you have which I can't believe you're an SME with ten plus years experience and data analytics focusing on marketing and customer analytics you've had senior analytics leadership positions at Accenture Hewlett Packard now Google tell me a little bit about before we get into some of the things that you're doing specifically the data--the on your experience as a female in technology the last ten plus years it's been exciting I started my career as an engineer I wanted to be a doctor fortunately unfortunately it couldn't happen and I ended up being an engineer and it has been an exciting ride since then I felt that had a passion for doing personal management and I posted management and specialization of operational research and project management and I started my career as a data scientist worked my way up through different leadership positions and currently leading a portfolio for Accenture at Google yeah in the read of science domain yeah it's exciting absolutely so one of the things that is happening this year wins 2019 the second annual data thon that's right really looking at predictive analytics challenge for social impact tell us a little bit about why Woods is doing this data thon and what you're doing in not respectively in Bengaluru okay so well you see data science in itself is a highly interdisciplinary domain and it requires people from different disciplines to come together look at the problem from different perspectives to be able to come up with the most amicable and optimal solution at any given point of time and Gareth on is one such avenue that fosters this collaboration and data thon is also an interesting Avenue because it helps young data science enthusiasts whom the require design skill sets and also helps the data science practitioners enhance and sustain their skill sets and that's the reason which Bangalore was keen on supporting what's global data thon initiative so this skill set so I'd like to kind of dig into that a bit because we're very familiar with those required data analytics skill sets from a subject matter expertise perspective but there's other skill sets that we talk about more and more with respect to data science and analytics and that's empathy it's communication negotiation can you talk to us a little bit about how some of those other skills help these data thon participants not just in the actual event but to further their careers absolutely so really into the real world so there are a lot of these challenges wherein you would require a domain expert you require someone who has a coding experience someone who has experience to handle multiple data sites programmatically and also you need someone who has a background of statistics and mathematics so you would need different people to come together I look at the problem and then be able to solve the challenges right so collaboration is extremely pivotal it's extremely important for us to put ourselves in other shoes and see a look at the problem and look at the problem from different perspective and collaboration or the key to be able to be successful in data science domain as such okay so let's get into the specifics about this year's data sets and the teams that were involved in the data thon all right so this year's marathon was focused on using satellite imagery to analyze the scenario of deforestation cost of oil palm plantations so what we did at which Bangalore is we conducted a community workshop because our research indicated that men dominated the Kegel leaderboard not just in Bangla but for India in general despite that region having amazing female leader scientists who are innovators in their space with multiple patents publications and innovations to the credit so we asked few questions to certain female data scientists to understand what could be the potential reason for their lower participation and the Kegel as a platform and their responses led us to these three reasons firstly they may not have the awareness about Kegel as a platform may be a little bit more about that platform so reviewers can understand that right so Kegel is a platform where in a lot of these data sets have been posted if anybody is interested to hold the required a design skill says they can definitely try explore build some codes and submit those schools and the teams that are submitting the codes which are very effective having greater accuracy he would get scored and the jiggle-ator build and you know that which is the most effective solution that can be implemented in the real world so we connected this data Sun workshop and one of the challenges that most of the female leader scientists face is having an environment to network collaborate and come up with a team to be able to attempt a specific data on challenge that is in hand so we connected data from workshop to help participants overcome this challenge and to encourage them to participate into its global hit a fun challenge so what we did as a part of this workshop was we give them on how to navigate Kegel as a platform and we connected an event specifically focused on networking so that participants could network form teams we also conducted a deep in-depth technical session focusing on deep neural nets and specifically on convolutional neural nets the understanding of which was pivotal to be able to solve this year's marathon challenge and the most interesting part of this telethon workshop was a mentorship guidance we were able to line up some amazing mentors and assign these minders to the concern or the interested participating teams and these matters work with respective teams for the next three weeks and for them terms with the required guidance coaching and mentorship held them for the VidCon showed me that's fantastic so over a three-week period how many participants did you have there 110 plus people for the key right yeah for the event and there are multiple teams that have formed and we assigned those mentors we identified seven different mentors and assigned these mentors to the interested participating teams we got a great response in terms of amazing turnout for the event new teams got formed new relationships got initiated new relationships new collaborations all right tell us about those achievements so they were there was one team from engineering branch or engineering division who were really near to the killer's platform they have their engineering exams coming up but despite that they learned a lot of these new concepts they form the team they work together as a team and we were able to submit the code on the Kegel leader board they were not the top scoring team but this entire experience of being able to collaborate look at the problem from different perspective and be able to submit the code despite one of these challenges and also navigate the platforming itself was a decent achievement from my perspective a huge achievement yeah so who you are at Stanford today you're gonna be flying back to go host the event there tell us about from your perspective if we look at the future line of sight for data science let's just take a peek at the momentum this that this Woods movement is generating this is our fourth year covering this fourth annual event fourth year on the cube and we see tremendous tremendous momentum mm-hmm with not just females participating and the woods leaders providing this sustained education throughout the year the podcast for example that they released a few months ago on Google Play on iTunes but also the number of participants worldwide as you look where we are today what in your perspective is the future for data science all right so data science is a domain is evolving at a lightning speed and may possibly hold the solution to almost all the challenges faced by humanity in the near future but to be able to come up with the most amicable and sustainable solution that's more relevant to the domain achieving diversity in this field is most and initiatives like wits help achieve that diversity and foster a real impact absolutely what's original thank you so much for joining me on the cube this morning live from wins 2019 we appreciate that wish you the best of luck kids a local event in Bengaluru over the weekend thank you it was a pleasure likewise thank you we want to thank you you're watching the cube live from Stanford University at the fourth annual woods conference I'm Lisa Martin stick around my next guest will join me in just a moment

>> Live from Washington, D.C., it's theCUBE. Covering Inforum, DC 2018. Brought to you by Infor. >> We are back this afternoon here in Washington, D.C., at the Walter Washington Convention Center. As we continue our coverage here of Inforum 2018 along with Dave Vellante, I'm John Walls, and we now welcome Mr. Cormack Watters to the program today, EVP of Emea and APAC at Infor. Cormack, good to see you sir. >> Nice to be here. >> So, we're going to talk about Guinness, over in Ireland (chuckling). Cormack's from Dublin, so we had a little conversation. We're getting a primer here. >> It's actually the best conversation we should have, right? >> Right, we'll save that for the end. How about that? So, you're fairly new, right? About a year or so. >> Ten months or so, not that I'm counting it by the day >> No no no, always going forward, never backward. But a big plate you have, right, with EMEA and APAC? Different adoptions, different viewpoints, different perspectives... We've talked a lot really kind of focusing domestically here for the past couple of days. Your world's a little different than that though, right? >> It is. It is. And it's very good that you've actually recognized it because that's actually the biggest challenge that we have. To be a little bit humble about it, I think we've got world-class products and solutions. I actually fundamentally believe that. But we have lots of different languages, cultures, and localization requirements in the multiple Countries that we look after. So, it's great to have great products, but it needs to be in French, Spanish, Portuguese, Italian, Swedish, Norwegian, Finish, Arabic, which most of them are. Customers realize that we are actually international and localized for many, many markets. But now we've become an intriguing option for them, if you're a multi-national business, with subsidiaries all over the world. So, it's good that Infor is big enough to do that. We need to do a better job of letting everybody know that we've done that, if that makes any sense. >> Sure. >> So what's happening in Europe? Europe's always pockets, there's no..I mean.. Yes, EU but there's really still no one Europe. What's going on? Obviously, we have Brexit hanging over our head. I felt like U.S. markets are maybe a little bit overheated in Europe has potential upside. >> Yeah >> And it seems like others seem to agree with that. What happening on the ground? Any specific, interesting areas? Is Southern Europe still a concern? Maybe you can give us an update? >> Yeah, so Brexit is quite a dominant conversation. I am from Ireland. I live in Dublin, but I'm working all over Europe, the Middle East, Africa and the Far East. So, I don't get to be at home very often, except the weekends. London is really our regional headquarters from a European perspective, and Brexit is on everybody's mind. Interestingly, when you go outside the UK, Brexit is not such a big topic because... That's Europe. And they kind of go, "Well if you don't want to be here, then you don't need to be here." Right? So it's a little bit of that, and they're saying, "Well, we'd like for them to stay, but if they don't want to stay, well, don't wait around." But in the UK, it's causing a lot of uncertainty. And the UK's one of our biggest markets. It's a lot of uncertainty, and what would be best is if we just knew what was going to happen, and then we could deal with it. And actually, once we know what's going to happen, that's going to bring a degree of change. And change, from our industry perspective means there's going to be some requirements that emerge. So, we need to be ready to serve those, which is opportunity. But the uncertainty is just slowing down investment. So, we need that to be resolved. >> So, clarity obviously is a good thing obviously a good thing in any market. Are there any hotspots? >> Yeah, actually for us, we're doing, for us the Hotspots right now, we're doing incredibly well in Germany. Which, one of our lesser known competitors is a small Company called SAP. And they're headquartered in Germany. It's quite interesting to see that we're actually taking a lot of market there in Germany, which is fantastic. That's a little bit unexpected, but it's going very well right now. We're seeing a ton of activity in the Asia Pacific, I would say that region is probably our fastest growing in all of Infor. And consistently so for several quarters and maybe past a year at this point. So Asia Pacific, Germany, U.K., and then as it happens, we are doing very well in Southern Europe, which is a combination of countries really. France, Italy, Spain, Portugal and Greece. Hard to put it down to which particular Country is doing well, but there seems to be a general uplift in that region. Because they were hit the hardest, arguably, by the crash back in 2008. So they've definitely come out of that now. >> And when they come out, excuse me I'm sorry John, but, they come out, Cloud becomes more important to them, Right? >> Yeah, I mean, absolutely. Anyone who's been delaying investment for years, can actually leapfrog what's been happening and jump straight to what you might call the future. So lots of Companies, lots of our Customers, are trying to simplify their Business. So Cloud is a great equalizer. We believe in your, what we call Last Mile of Functionality per industry. And that should make the projects shorter, more compact more predictable and the infrastructure worries go away, because that's our responsibility to the Customers. >> We definitely so that in the U.S., 2008-2009, CFO's came in said shift to the Cloud, because we want to shift Capx to Opx, and when we came out of the downturn, they said "wow this stuff works pretty well, double down on it" and then there were other business benefits that they wanted to accelerate, and so maybe Southern Europe was a little bit behind >> I think that may be the case right, and they are picking up. And what we're seeing are a lot of other advantages. Not to make this a sale's pitch, but, I am here so >> Go for it >> You've got a microphone >> I've got a microphone and I'm Irish, so I've got to talk right? What the Cloud is actually doing is, lots of Companies have put in big ERP over the years, the decades. And then they get stuck at various points and maybe years behind, because upgrades become painful and really want to avoid them. So what they're seeing is, if they can get onto the Cloud, they never need to upgrade again. Because it's always current, because we upgrade it every week, or every month and they're never falling behind. So they want to be ready to take advantage of the innovations that they know about and those that they don't even know about. So by keeping on the latest version, that opportunities open to them. Also, there's a big issue in Europe specifically about a thing called GDPR, which is data protection. Security. So we believe that we can do a better job of providing that, than any individual Company. Because we provide it for everybody, our resources can be deployed once and then deployed many times. Where as if you're an individual customer, you've got to have that speciality and put it in place. So GDPR is a genuine issue in Europe, because, the fines are absolutely huge if a Company is found to breach it. >> It's become a template for the globe now, California's started moving in that direction, GDPR has set the frame work. >> Well and just to follow up on that, and now you're dealing with a very different regulatory climate, then certainly here in the United States. And many U.S. Companies are finding that out, as we know. Overseas right now. So how do you deal with that in terms of, this kind of balkanized approach that you have, that you know that what's working here doesn't necessarily translate to overseas, and plus you have, you know, you're serving many masters and not just one or two. >> What's happening is the guys in our RND have done very well, is they understand the requirement of, in this instance, GDPR. They look at the other regulatory requirements, lets say in Australia, which is subtly different, but it is different, and they can take, well what do we have to do? What's the most extreme we have to achieve? And if we do that across our suite into our platform suite, the N4RS, that can then be applied to all the applications. And then becomes relevant to the U.S. So it's almost like some requirement across the seas, being deployed then becoming really relevant back here because over here you do need to be aware of the data protection, as well, it's just not as formalized yet. >> It's coming >> A Brewing issue right? >> What about Asia Pacific? So you have responsibility for Japan, and China, and the rest of the region. >> Right >> Which you are sort of re-distinct... >> Really are right? There are several sub regions in the one region. The team down there, as I say, arguably the most successful team in Infor right now, so Helen and the crew. So you see Australia, New Zealand then you see Southeast Asia, then you see China, Japan and so on. So different dynamics and different markets, some more mature than others, Japan is very developed by very specific. You do need very specialized local skills to succeed. Arguably Australia, New Zealand is not that similar from say some of the European Countries. Even though there are differences and I would never dream to tell an Australian or a New Zealander that they are the same as Europeans, cuz I get it. I smile when people say "you're from the U.K and you're not from Ireland?" I understand the differentiation. (laugher) And Southeast Asia, there's a ton of local custom, local language, local business practice that needs to be catered for. We seem to be doing okay down there. As I say, fastest growing market at scale. It's not like it's growing ridiculously fast but from a small base. It's as a big market already and growing the fastest. >> And China, what's that like? You have to partner up? >> Oh yeah >> To the JV in China? >> You have to partner up, there are several of the key growth markets that it's best to go in with partners. Customers like to see we've got a presence. So that they can touch and feel that Infor entity. We can't achieve the scale we need, and the growth we want fast enough without partnering. So we have to go with partners to get us the resources that we need. >> And in the Middle East, so my business partner, Co-Host, John Furrier, is on a Twenty Hour flight to Bahrain. The Cube Bahrain. Bahrain was the first Country in the Middle East to declare Cloud first. AWS is obviously part of that story, part of your story. So what's going on over there? Is it a growing market? Is it sort of something you're still cracking? >> No, no, again it's growing. We have several key markets down there, big in hospitality in that part of the world. Hotels, tourism obviously. Shopping, very interesting markets, and Healthcare, interestingly enough. I think arguably some of the worlds best Hospitals are in that region. Definitely the best funded Hospitals. >> Probably the most comfortable. (laughter) >> So again part of our stent is the number of industries we serve, so if you can put in our platform as it were, then you could have multiple of the industry flavors applied. Because what's interesting in that part of World, there seem to be a number of, I guess we call them conglomerates. So maybe family owned, or region owned, and they have just a different array of businesses all under the one ownership. So you would have a retailer that's also doing some tourism, that's also doing some manufacturing. So we can put our platform in, and then those industry flavors they can get one solution to cover it all. Which is a little bit unusual, and works for us. >> Your scope is enormous. I mean essentially you're the head of Non-U.S. I mean is that right? >> Yeah, and Latin America as well. >> That's part of it? That's not... >> Excluding the Americas. So there's Americas and then everything else, and you're everything else. >> I missed a meeting you see so they just gave it to me >> What you raised your hand at the wrong time? >> I wasn't there (laughter) >> So how do you organize to be successful? You obviously have to have strong people in the region. >> Right. So the key is people, right. We organize somewhat differently to over here. We've gone for a regional model, so I have six sub-regions, that I worry about. So four in Europe, the Nordic Countries. Scandinavian, Sweden, Norway, Finland, Denmark. We call Western, which is Ireland, U.K. and the Benelux. Germany is Central and East, and then Southern is the Latin Country, Spain, Portugal, Greece and so. Then we've got the Middle East, and Africa, and then we got Asia Pacific. I've got six regional teams, all headed by a regional leader, and each of them are trying to be as self contained as they can. And where we see we've got an opportunity to move into something new, we've got one team working with me directly as an incubator. For example, we're driving a specific focus on Healthcare, in our part of the world, because it's very big over here. We haven't quite cracked the code over there. When we get some scale, then it'll move into the regions, but for now that's incubating under me. >> And, what about in Country? Do you have Country Managers? One in the U.K., one in France, one in Germany. >> We have what we call local leaders, right? So in some cases it could be a sales oriented individual, it could be consulting, others it could be the local HR guy. So that's more for us to make sure we're building a sense of community within Infor. Rather than it being more customer facing. We're still trying to make sure that there is a reasonably scarcity of senior skills. So regionalizing lets us deploy across several Countries, and that works with the customer base, but for employees we need local leaders to give them a sense of feeling home and attached. >> So the regions are kind of expertise centers if you will? >> Yes >> So I was going to ask about product expertise, where does that come from? It's not parachuted in from the U.S. I presume? >> No, we're pretty much self-sufficient actually, which is great. So from both what we call solution consulting, which is the product expertise, and then consulting which is the product deployment. And we're doing more and more of our deployments with Partners. As I say, we need to really rapidly embrace that partner ecosystem to give us the growth opportunity. RND, is all over the World. That's not under my direct control. So for a major suites, take for example, LN, happens to be headquartered out of Barneveld, in the Netherlands. From a Historic perspective, which is great. And Stockholm, which is also great. But a lot of the development resource room in Nila and in India. So we work closely with the guys, even though they don't actually report to me. >> And out of the whole area, the area of your responsibility what's the best growth opportunity? We all think of China, but that's been fits and starts for a lot of people. >> Yeah, yeah I think we've got multiple opportunities, you can look at it a few ways. You can look at it geographically, and you would say China. You can look at Eastern Europe, and you can look at Africa. There's a ton of opportunity in those regions, geographically. Interestingly we are also at a point where I think the Nordics, and we've got a very solid base Historically, and so on. But we probably haven't put enough focus on there in recent times, that the opportunities are really scaled in Nordics is really quite significant. And then they can look at it from a Product Perspective. So for example, we have, what we believe to be World Leading, and actually a Company called Gartner would equally agree with us. Enterprise Asset Management, EAM, that's a product suite that can fit across all of our industries. I think that could well be the significant growth area for us across the entire six regions. And it's a huge focus for us here at the conference actually. So we can do it by product, EAM, Healthcare, or by Region. I think Eastern Europe, China, and Africa, as well as the Nordics. >> And the other big opportunity is just share gains, market share gains, particularly in Europe, I would think, with your background. >> Yup. Completely, I mean, that's why I said, it's really interesting that we are winning market share in Germany. Who'd of thought that a few years ago? That's a big market, I mean, Germany, U.K., France, Italy. They're huge. Right, I mean U.K., is what, Sixty-Five Million People? It's a big economy, so we've got many of the worlds G7, in our backyard. So we just really need to double down on those, and give them the opportunities to grow that we need. >> And just back to Japan for a second. Japan has traction, it takes a long time to crack Japan. I know it first from personal experiences. >> Yeah, Okay, Interesting. >> Yeah you just got to go many many times and meet people. >> That's it, Right. And it's a different culture, of when you think they're saying yes and you think they're there, that's just yes to the next step. (laughter) >> Alright, so it does take time to get there. We've actually cracked it to some extent, that we've now got some solid referenceability, and some good wind. We need local leaders in Japan, to really crack the code there. >> And then once you're in, you're in. >> I think that once you've proven yourself, it's a lot of word of mouth and referencing. >> Well I hope you get home this weekend. Are you headed home? >> Yes! Actually I'm lucky enough. My Wife is originally from Chicago. So she and our Daughter have come over for the weekend, to go sight seeing in Washington. So that'll be fun. So we'll be going home on Sunday. >> Your adopted home for the weekend then. >> That's exactly right. >> Well we'll talk Guinness in just a bit. Thanks for the time though, we appreciate it. >> Thank you Gentlemen. >> Good to see you, Sir. Alright, back with more here from Inforum 2018, and you're watching Live, on theCube, here in D.C. (electronic music)

>> From the Amazon Meeting Center in downtown Seattle, it's theCUBE. Covering: Imagine A Better World, A Global Education Conference. Sponsored by Amazon Web Services. >> Hey welcome back everybody, Jeff Frick here with theCUBE. We're in downtown Seattle at the AWS IMAGINE education event, first time ever, 900 people registered, over 20 countries represented, Teresa gave the keynote, a lot of exciting stuff. And one of the big announcements is some of the work that's happening down in Los Angeles with all the community colleges there. We're excited to have, right off the keynote stage, he's Bill Allen, the CEO of the LA Economic Development Corporation, who's been instrumental in getting this thing off the ground. Bill, good to see you. >> Jeff, it's great to be with you today. This is an exciting moment for us, rolling out this very successful pilot program to all 19 colleges that are part of the LA Regional Consortium. >> So let's jump in, it's called the CA Cloud Workforce Project. >> Yeah, the California Cloud Workforce Project. We have obviously millions of businesses in California, in our own region 250,000 business with employees that are looking to convert to the cloud, take advantage of the exciting tools and resources available to them in the cloud, but they need the skilled workers in these firms to help migrate this transition and that's what our community colleges are stepping up to provide with the help of Amazon Web Services and AWS Educate. >> So it's really interesting cause you know it's a special role that community colleges play within the whole education system, and we could have a whole long debate over adult beverages on a Friday about the state of the education system but specifically here, there is a huge gap and people think technology's taking jobs away. They're taking some jobs away, but they're opening up a ton of new jobs and go no further than looking at the jobs open recs, there's lots and lots and lots of jobs to fill. So how did it come to be to tie that back directly to real skills, that you can actually have real kids take real jobs? >> Well we see these transitions happening all across the industry sectors in Los Angeles and we have a broad array: aerospace, entertainment, digital media, life sciences, transportation logistics. >> It's the little technology, right. >> Advanced transportation. they're all undergoing significant changes and they're all becoming more technology enabled, more technology dependent. And the opportunity exists to train workers for these technology enabled jobs that provide good wages and good benefits, and help our businesses compete globally and take advantage, fully leverage all these advances and innovations. We formed a center for a competitive workforce with all of our 19 colleges, using their labeled market researcher economists and our own economists in the institute for applied economics at the LAEDC, to study the evolving demand for labor and skills in the various occupations in these industry sectors and compare that against the supply side of our labor market. >> Right, right. >> To enhance our talent development pipeline, and its led to new programs such as this. This was one of the clear areas of opportunity was cloud computing skills. The first program we launched at Santa Monica College, had two sections they rapidly sold out, we had to expand it to seven sections. More than 300 students participated in the first year of courses. 230 are signed up for this Fall 2018. And it's an extraordinarily successful program, but now the other 18 community college presidents have all stepped up and said we're going to roll this out on our campuses beginning this August at East Los Angeles college and historic East LA, part of our community which, speaks to the diversity opportunities. >> Right. >> We have a very diverse population in Los Angeles and many of our communities have been underrepresented historically in the technology fields. They are really interested in accessing the skills and opportunities, and they are really taking up these courses with enthusiasm from our local high schools to our community colleges. And I think it's going to help us in Los Angeles really diversity our technology workforce, and that helps our companies expand globally. >> Right, so I'm just curious, what are some of the skills when you did the research that popped up in terms of specific types of jobs? Because we've all see the pictures of data centers, they are usually pretty clean, there's not a lot of people walking around. But there are people that really need to make it go. So what were some of those kind of job titles and job skills that leapt out that have such demand, and field demand. >> There's so much need for data scientist, there's so much need for machine learning capabilities, there's so much need for basic cloud computing, cyber security, really all of these advanced technologies that are data dependent, data analytic, data science, really are emerging as important components of each and every industry sector that I mentioned earlier that exists in our community and throughout the world. And so our job is to try and share that knowledge with our community colleges, our state universities, our four year public and private institutions, and even our k-12 institutions so they can begin to adjust their curriculum to ensure that they're creating pathways of learning at the earliest ages, and then specific coursework in these emerging opportunities throughout the career ladder, throughout the career development pipeline in the LA area. >> So I want to touch base on the k-12 because I think an interesting component of this program is each community college is paired up with at least one, I don't know if there's more than one high school in their area. And it's always been kind of interesting to me that it's been so hard to get kind of CS baked into kind of the standard high school curriculum. You've got kind of the standard math track with trig and Calc, and Algebra I and Algebra II, you've got kind of the standard science track with Physics, and Bio, and Chem. But it's been really hard to wedge CS into that. So are you finding with programs like this, kind of the adoption or the embracing of the CS curriculum at these lower, lower levels is finally getting some steam? >> We are, interestingly our students have often been ahead of our institutions in understanding the demand and the opportunity, and they've been clamoring for these kinds of opportunities. And our industries are becoming more aware of the roll that they can play in helping our schools develop the curriculum, purchase, acquire, maintain the equipment associated with this. Whether it's hardware, or software. And these partnerships that are emerging originally around some theme based academies in our schools, both charter schools and traditional public schools have been helping the broader school districts engage more deeply in the development of curriculum to prepare a more technologically literate workforce for the future. >> Right, now what if you could speak a little to the public private partnership. You're with the economic development corporation, you mentioned LA chamber of commerce's involved and now you've got a big company like AWS, there's a lot of resources to bring to bare and also a lot of open job recs. How does that work, and how have they helped you partner with Amazon AWS kind of move your initiative forward? >> So Amazon and the AWS platform have been terrific partners and specifically the AWS education initiative, have been terrific partners and are really shining the way, lighting the path for other major employers in our region. The students who graduate with this program will not only be valuable to Amazon itself but so many of its customers who are migrating to the cloud platform. But we have companies like Northrop Grumman who are partnering with community colleges to develop talent for their joint strike fighter program in the North end of our county, and hiring people for well paying jobs. Amazon has premier partners in their AWS educate partner program like Anaca who are providing internships for the graduates of this program. So the public and private sector are working closely together, that's why the LAEDC and the LA chamber were asked to get involved in this so we can bring employers to the table, who are really forward looking in their approaches to developing their future talent pipeline. And really desirous of developing the more diverse talent base that is in Los Angeles to fill the needs as so many of the workers in these industries are aging out of the workforce. We need a significant number of newly skilled young people in our communities to take on the future of each of these industries. >> Right, so we're both big fans of Teresa Carlson she kicked things off today. If we come back a year from today, which I assume we will, what are we going to be talking about? How do you see kind of the next year? What are your kind of short term goals and more medium term goals? I won't even ask you about long term goals. >> As I mentioned we had a few hundred students sign up for this so much so that we had to expand the sections from two to seven, I think you're going to see thousands of students taking advantage of this across our region. We have 300,000 students in our community colleges in this LA regional consortium. >> 300 thousand? >> 300 thousand students. >> Make a big impact. >> And I think a significant number of them are going to want to avail themselves of these types of opportunities. We're projecting through our center for competitive workforce, thousands of job openings in this area and so we have a ways to go of scaling this up to the thousands of students who should be taking these courses, and preparing themselves for the well paying jobs in these careers in Los Angeles and the broader Southern California mega region for which our community colleges train such a healthy percentage of our workforce. >> Alright Bill, well sounds like you're off and running, and wish you nothing but the best. >> Jeff, thanks so much, great talking to you. >> Alright, he's Bill, I'm Jeff. You're watching theCUBE! We're at AWS Imagine education in Seattle. Thanks for watching. (upbeat music)

>> From Santa Clara, California, in the heart of Silicon Valley, it's theCUBE. Covering Technovation's World Pitch 2018. Now, here's Sonia Tagare. >> Hi, welcome back. I'm Sonia Tagare, here with theCUBE in Santa Clara, California, covering Technovation's World Pitch Summit 2018, a pitch competition in which girls develop mobile apps in order to create positive change in the world. This week 12 finalist teams are competing for their chance to win the coveted gold or silver scholarships. With us today we have two regional ambassadors from Turkey. Resat Bozkir, >> Hi. >> And Sedat Yalcin. >> Yes. >> Thank you so much for being here today. >> Thank you. >> Thank you for your hospitality. >> Absolutely. So can you tell me, what is a regional manager? What do you guys do? >> Okay, you want to start? >> Okay, regional ambassador. As a regional ambassador, we help with the Technovation program in our country by organizing events and managing locally, for example, this year, we translated all our Turkish language and help other mentors and other students. >> Oh that's wonderful. >> Yes. >> So how many students do you have? >> We have nearly thirty students this year. And we've been working for five years with Technovation. This year we have thirty students. And now, one team is here as a finals team in this one also. >> What are the age groups of your students? >> Middle school and high school. We start at 13 and 18. >> So you mentioned you've been doing this for five years. Have you noticed an increase in girls in tech over the years? >> I think, if I remember those days, only 10% are students who were girls, and now 50% of our students are girls. We participated for very... Not much girls in our group. That is programming, robotics and everything. Now lots of girls do it, like this project. >> That's amazing. So what are you most excited about for this tournament? >> Can you say it again? >> Oh yeah, what are you most excited about for this week for the competition? >> Oh, as I said before, we have one finals team for this ceremony, and this is their first moment in Technovation. And they are the most little ones, our girls. We hope this will be a very good experience for them. And we are really excited to be here. >> That's wonderful. So can you tell me just a little bit more about how girls in Technovation is helping girls in tech, the conversation in general? >> Okay. >> I think it's a good question because lots of students before Technovation, I asked our students, "Do you have any download, any mobile application?" Lot of students would say, "No." "Do you have any, "make a presentation more than hundred people?" They say, "No." "Do you have any ideas about business plan?" They say, "No." "Do you have any ideas about entrepreneurship?" They say, "No." "How about the Technovation program?" They say, "Yes, I succeed. "We made the program "and then we download the mobile application "and we make a presentation, and we make a business plan." They say all of that. Excited about programs like this. >> That's wonderful, and I think you guys are doing such an amazing job. >> Yes. >> Thank you so much for being on theCUBE, Resat and Sedat. We're really excited to have you here, and I hope you have a great trip back to Turkey. (laughs) So we're at Technovation's World Pitch Summit 2018, stay tuned for more.

>> Narrator: Live from Stanford University, in Palo Alto California, it's The Cube, Covering Women in Data Science Conference 2018. Brought to you by Stanford. >> Welcome back to The Cube, our continuing coverage of Women in Data Science 2018 continues. I'm Lisa Martin, live from Stanford University, and very excited to be joined by our Co-founder, Co-CEO of SiliconANGLE Media and The Cube, John Furrier. John, what an amazing event, the 3rd Annual WiDS event, the third time The Cube has been here, this event, the energy, the momentum, the excitement, you can feel it. >> I really wanted to interview with you all day, but I wanted to make sure that we had the right women in tech, women in data science. (Lisa laughs) You're an amazing host. I thought it was awesome. What a great powerhouse of women. It's just such an honor for The Cube team and SiliconANGLE to be here. We're listed as a global innovative sponsor on there, so it's like the recognition because they have high integrity. The organizers, Judy, Karen, and Margot, when we first met, when they first started, this "Can you bring The Cube?", of course we will! Because we knew the network effect was big here. They were early on, and they took a great approach. They really nailed the positioning of the event. Use Stanford University as a base, establish a global community, which they have now done. It is so successful, this is the future of events, in my opinion. The way they do it, the way they bring in the content curation here at Stanford, but it's open, it's inclusive, they created a network effect with satellite communities around the world. They've created a VIP network of power women, and it's a shortcut to trust. This is the trusted network of women in data science. It's super exciting. I'm so proud to be part of it in a small way. They get all the credit, but just capturing all the data, the interviews are great data. You've done a great job. The conversations were amazing. The hallway conversations went great. It was just fantastic. >> Yeah it was fantastic, and thank you for handing the keys to The Cube to me for this event. The remarkable thing-- One of the remarkable things to me about this event is that they have, in third year, they're going to reach 100,000 people with this event. There were 177 regional events in the last 24 hours, #WiDS2018, in 53 countries. And we were fortunate to have Margot Gerritsen on a few hours ago, and I said, "You must be pleasantly shocked at this massive trajectory, "but where do go from here?" "Sustaining, maintaining, but also reaching out," she said, "to even younger audiences in high schools "and being able to ignite the bunsen burner, "turn it up a little bit higher." What were some of the hallway conversations that you had? >> Well I think the big thing was is that, first of all, the panels on the conversation of the content was not about women, it was about data science, that happen to be women. >> Yes. So the quality of the conversations, if you close your eyes, you'll be like, "There are some serious pros on here". And they had some side discussions around how to be a woman in tech and data science, and how to use your integrity and reputation, but the content program was top-shelf. I mean, it was fantastic, so that was equalizing. The hallway conversations was global. I heard about global impact, I heard that data science is very mission-driven. And you're seeing a confluence of technology and innovation with technology like data analytics, data science, fueling mission-driven, so standard run your business on analytics, but now run society on analytics. So you're seeing a global framework developing around mission-driven, you'll hear the word "impact" a lot, and it was not just speeds-and-feeds data science, although they're plenty to geek out about, but it was more of a higher level order bit around mission, and society. So this is right around what we're seeing at The Cube around cloud computing, cryptocurrency and blockchain, that you're seeing a democracy being rewritten with technology. Data's the new oil. Oil's power in the new global economy, and you're seeing that in all kinds of decentralized forms of blockchain and cryptocurrency, you're seeing businesses transform with data science, so with that comes a lot of responsibility. So, ethics conversation in the hallway. I felt like I was at a TED talk, meets World Economic Forum, meets Stanford Think Tank, meets practitioner. It was like, really exciting. >> And they had keynotes, which we had a few on some tech tracks, and a career panel. Did you get to listen to the career panel? >> John: The career panel was interesting and I'd love to get your thoughts on some of your interviews that crossover, because it was really more about being proud and high integrity. So the word "democratization" came up, and the conversations in the audience when they had the Q&A was, "Isn't it more about respect?", democratization, not that there's anything wrong with that, but "Isn't it about integrity? "What is the integrity of us as a community, "as women in data science, what is the respect, "integrity, and mission of the role?" Of course democratization is a side effect of good news data, so that was super exciting. And then also, stand up, never give up, never worry about the failure, never worry about getting in a blocker, remove that blocker or as Teresa Carlson at Amazon would say. So there was definitely the woman vibe of "Listen, don't take things lying down. "Have a tough skin. "Take names and kick butt, but be proud." >> That's where a lot of the, when I'd ask some of our guests, "What advice would you give your younger self?" and a lot of them said the same thing, of "Don't be afraid to get out of your comfort zone". My mentor says, "Get comfortably uncomfortable." I think that's pretty hard for a lot-- If I look back at myself 20 years ago I wouldn't have been able to do that. It took a mentor, and just as Maria Klawe has said on The Cube before, the best time to reach and inspire the next generation of females to go into STEM is first semester yoo-nuh-ver-zhen, that's exactly when it happened for me and I didn't plan it, but it took someone to kind of go like Maria said this morning, "Don't be focused "on the things you think you're not good at." So that "failure is not a bad F word" was a theme that we heard a number of times today, and I think, incredibly important. >> And the tweets I tweeted out but it was kind of said differently, I don't know the exact tweet, but I'd kind of paraphrase it by saying Maria from Harvey Mudd said, "Look it, there's plenty of opportunities "in data science, go there." And she compared and contrasted her journey in a male-dominated world with "Look, if you're stuck or you're in a rut, "or you're in somewhere you're uncomfortable with, "from a male perspective or dogma, "or structural system that's not working for you, "just get out of it and go to another venue." Another venue being a growth market. So the message here was there's plenty of opportunities in data science than just data analytics. There's math career paths, there's cryptocurrency, there's blockchain, there's all kinds of different elements. Go where the growth is. If you go where the growth is, you can pioneer and find like-minded individuals. That was a great message I thought, for women, because you're going to find men in those markets that love collaborating with anyone who's smart, and since everyone here's smart, they're saying just go where the growth is. Don't try to go to a stagnant pond where all the dogma and the structural stuff is. That's going to take too long to change. That's my take, but I think that's kind of the message I thought was really, really powerful. And that's the message I'm going to tell my two daughters is "Stand tall, and go after the new territory." >> You can do anything, and that was also a theme of "Don't be afraid to take risks". In any way of life if we don't take risks, we risk losing out on something. That was something we heard a lot. >> John: Let me ask you a question then, because you did the interview. I was jealous, 'cause you know I hate to give up the microphone. >> I know you. (laughs) But I love this event, 'cause it's super awesome. What were some of the highlights for you? Was there a notable interview, was there some sound bites? What were some of the things that you found were inspiring, informational, or notable? >> Oh, all of the above. Everybody. I loved talking with Maria Klawe this morning who, to your point earlier, had to from many generations face the gender bias, and has such a... That her energy alone is so incredibly inspiring. And what she has been able to do as the first female president of Harvey Mudd and the transformation that she's facilitated so far is remarkable. Margot Gerritsen also was a great, inspiring guest for me. She had said, they had this idea three years ago, you were there from the beginning and I said how long was it from concept to first event? Six months. Whoa, strap on your seatbelt. And she said it was almost-- >> And they did it on a limited budget too, by the way. >> Sure. She said it was almost like the revenge conference. Tell us we can't do something, and I heard that theme as well, people saying, "Tell me I can't do something, "and I will prove you wrong in spades." (John laughs) And I think it's an important message. There's still such a gap in diversity. Not just in diversity in gender and ethnicity, there's a thought diversity gap that every industry is missing. That was another kind of common theme, and that was kind of a new term for me, thought diversity. I thought, "Wow, it's incredibly important "to bring in different perspectives." >> And on that point, one of the things I did here in the hallway was a conversation of, this is not just a movement, it's a collection of movements. So it's not one movement, this one is, or women in general, it's a collection of movements, but it's really one movement. So that was interesting, I was kind of like "Hmm", as being a guy I'm like, "Can you women-splain that to me please?" (Lisa and John laugh) >> Yeah, well the momentum that they-- >> What kind of movement is this? (laughing) >> They're achieving. (laughing) I'm sure there'll be a hashtag for that, and speaking of hashtags, I did think it was very cool that today is Monday, #MotivationMonday, this whole day was Motivation Monday to me. And I asked Margot, "Where do you go from here? "You've achieved this in the third year." And she said, "Doing more WiDS events throughout the year, "also starting to deliver resources on demand for folks". Not just females, to your point, this is people in data science, globally, to consume, and then going sort of downstream if you will, or maybe it's upstream, and starting to reach more of that high school age, those girls who might have a desire or interest in something but might think, "I don't think I can do this". >> Well I think one of the things that I'm seeing, and I was glad to be one of the men that stood up, and there's men here, is that men being part of it is super important because these newer markets, like I was just in the Bahamas for a cryptocurrency blockchain event, and there's a lot of younger generations, the whole gender thing to them, they think is nonsense. They should be all equal. So in these new growth areas they're kind of libertarian, but also they're really open and inclusive. It's because of their open-source ethos. So I think for the younger generation in the youth, we can kind of set the table now, and men got to be a part of that. So to be that kind of world where the conversation isn't about women in tech, means that it's all good now, >> Yeah. Right? So the question we've had on The Cube is when we're done with the diversity and inclusion discussion, that means we've accomplished the goal, which is there's no longer a need for that discussion because it's all kind of leveled up. So I mean, a long ways to go for sure, but that's the goal, and I think the younger generations are like, "You old people are like... "We don't view it that way", so we hope that structurally, we have these kinds of conferences where the conversation is not about just women, but the topics, and their gurus at their field. To me, that is the shining light that we want to focus on, because that's also inspirational. Now the stuff that needs to be fixed, is hard conversations, and it's tough but you can do both. And I think that's a message that I hear here. Phenomenal. >> Great to hear though from your perspectives, from what you're hearing with the millennials in the next generation going "Why are you even talking about this?" It would be great if we eventually get there, but some other things that are really key, and some of these companies are WiDS sponsors, Intel and SAP, and what they're doing to achieve, really aggressively, much more gender diversity. We heard Intel talk about it. We heard SAP talk about it today, Walmart Labs as well. And it's still obviously quite a need for it is what it's showing. >> The pay gap is still off. Way too off, yes. >> So that is like, the conversation needs to happen, I'm not trying to minimize that with my other point, but we got to get there. The other thing that's really off, the pay has got to get leveled up and people are working on that. That's great, let's see the progress. Let's look at the data. But the other one that no one's talking about is not only is the pay a problem, the big problem is the titles. So, we've been looking at data amongst a lot of the big companies. Women are getting some pay leveled up, but their titles aren't. So there's still a lot of these little things out there that matter. She's only a VP, and he's an SVP, but she's actually operating at an SVP level, or Senior Director, I mean, this is happening. So much more work to do, but again, the more that they come in with the skills that they got like in here, the networks that are forming, the VIP trust influence networks, it's just phenomenal. I think this is going to really accelerate the peer review, the peer relationships, access to the data, and just the more the merrier. Shine the light on it, turn the sunlight on. >> Exactly, shining a light on the awareness that they're generating, and also that we have a chance to share through The Cube, bringing more light to some of these things that you talked about, the faster, like you said, the more we're going to be able to accelerate making this a non-topic. >> It's our mission. The Cube's mission is to open the content up, get the conversations, document the folks, get them ingested into our network, share our networks open content. The more that that meta data and that knowledge can share digitally, that is the mission that we live for. As you know we love doing it. You did a great job today. >> Lisa: Thank you! It was my pleasure. It's an inspiring event, even just getting prepped for it, and you can hear all the buzz around us that it probably feels-- >> Cocktail party time. It is cocktail party time. Feels pretty darn good. Well John, thanks so much for being our fearless leader and allowing us to come here. And we want to thank you for watching The Cube. We have been live all day at WiDS 2018. Join the conversation. Follow us, @thecube. Join the conversation with #WiDS2018, and please join the conversation and share the videos of some of these fantastic leaders and inspirational folks that we had on the show today. For my co-host, John Furrier, I am Lisa Martin. We'll see ya next time. (electronic music)

(light electronic music) >> Announcer: Live from Stanford University, in Paolo Alto, California, it's theCUBE. Covering Women in Data Science Conference, 2018. Brought to you by Stanford. >> Welcome back to theCUBE, I'm Lisa Martin. At Stanford University, we're here for the third annual Women in Data Science Conference. #WiDS2018, check it out, be part of the conversation, WiDS is in it's third year, but it's aiming to reach about a hundred thousand people this week alone. There's 177 regional WiDS events in 53 countries. This event here, the main event at Stanford, features key notes, technical vision talks, a career panel, and we're excited to be joined next by Dr. Nathalie Henry Riche. I did that in French. >> Yes. (laughs) Who is a researcher at Microsoft, and Natalie, first of all, welcome to theCUBE. >> Thank you, I'm really thrilled to be here. >> Yeah, you gave a technical vision talk on data visualization, and data driven's story telling. Share with our audience, some of the key messages, that the WiDS audience heard from you earlier today. >> Well, I guess, I gave two main messages. The first one is, that a visualization has two superpowers. >> Lisa: Superpowers? >> Superpowers. >> Tell me girl. The first one is enable you to kind of think about your data in a new way. So, just kind of form hypothesis, and answer questions you didn't even know, you had by your data. So, that's the first one. The second super power, is it's really useful to communicate information, and communicate with a large audience. Visualization helps you, kind of convey your point with data, to back it up. So, that's kind of the short one minute. >> I love that, super super hero, super power. So, WiDS is, as I mentioned at the intro, in its third year, and reaching, it's grown dramatically in such a short period of time. This is your first WiDS, and your first WiDS you are a speaker. What was is that attracted you to WiDS, and you went, yes I want to give some of my time to this, and come down from Seattle? >> Well, so I'm French originally, and my studies I did at engineering school, and it was one of three out of 300 men, right? >> Wow. >> So, I was requested a lot for women in computer science, and engineering. So, I actually really like it. Just meeting all of those people, talking about, you know, trying to bring more women in. Part of the job I'm doing is very creative, so, we're trying to come up with new ideas for visualization. I think having, you know, a wide range of people adds to the mix, and we get so many more exciting ideas. So, I really want to try to have more diverse group of people I can work with, and connect to, and so that's why that attracted me to here. >> Excellent, couple of things that you said I've heard a number of times today. The first one is, what Daniela went and shared, who's also a speaker, that often times, some of the few women in tech, and you mentioned being one of three in 300? Are asked to do a lot of other things. Did you find that, that, okay you're one of the few females, you're articulate, you like speaking, we want you to do all these things. >> Yes, and I say no a lot. (laughs) >> 'Cause I have kids, too. >> That's a skill, too. But yeah, it happens a lot. I think as we go further, it's going to be less and less happening. It's better in the end. So, it's kind of a service, I see it as a service to, you know, my field, and my company. But, at the same time, we'll also get a lot of benefits from it. But that said, I try to cut it down to a manageable level, so two hours flight from Seattle works great. >> Right, right, right. Another thing is that, that you mentioned the creativity. I've heard that a number of times, today from our guest Margot Gerritsen, was on as well. Tell me about your thoughts about being in this data science role, the need for creativity. How does, how it, why is that you might consider it, like a softer skill versus the technical skills. But, how important is that creativity in your job, for example? >> So, my job is really like researcher. Trying to have new ideas, and innovate for Microsoft in particular. So, I'm not really a data scientist, but I build the tools for a data scientist. So, knowing that, creativity is important because you need to kind of think out of the box. What is the next generation of tools that they will need? In turn, they need to think out of the box, kind of get more insight out of the data they're collecting. So, creativity is just like, pervasive to this whole data science thing. Problem solving as well, so you need a lot the left brain, and a lot of the right brain. Kind of both of them together. I think that having different cultures, and different genders, even different age ranges just, you know, makes you think out of the box. That's just what's happening. Discussing with people, I was discussing with someone in cosmology, and I was like, whoa. That brought up a lot of different ideas in me, so, to me, that's really critical part of what I'm doing every day. >> I like that, that kind of aligns to what one of our guests said earlier, and that is the thought diversity. Wow, I've never >> Yes. thought of thought diversity. But, you bring up a good point about it's not just about having women in the field, it's also having diversity, in terms of generations. One of the things that's, I think, pretty unique about WiDS, is it's not just about reaching young women in their first semester at University, for example. Maria Clavijo said that's the ideal time to really inspire. But, it's also reinvigorating women who've been in academia, or industry in stem subjects for a long time. So, you have, we have multiple generations, and to your point, that diversity is important, it's not just about gender, ethnicity. It's also about the diverse perspectives that come from being >> Exactly. from different generations. >> So, it's funny, 'cause I was giving this talk earlier, and it was, one part of it was about time line. When I was researching, you know how people draw time? Well there's, depending some culture, it goes from left to right, but some other culture it's front to back, back to front, right to left. So, we need to be aware of all of that, and it's so much easier to just have the people to converse with right in your office, or next door, to be aware of those. So, that's very important, especially to big companies, like Microsoft, 'cause of, you know, a lot of customers world wide. So, it's very important to just be immersed in that. >> Definitely. So, you have been published, you've got published research, and over 60 articles in leading venues, and human-computer interaction, and information visualization. But, something we chatted about off camera, was very intriguing about visualization and children. Tell me a little bit more about that. >> So, I happen to have two kids, you know, seven and four. I'm passionate about what I'm doing, and I just couldn't keep it out of their hands, right? So, I was just starting, you know, seeing what does my daughter learn at school, like, what does she learn in kindergarten? In fact, in kindergarten, I remember one day, she brought back candies, and I'm like did you get candies from school? She's like no, because we were doing a bar chart. I was like, what? (laughs) So, I was very intrigued in, you know, what do we teach, what do your kids learn? It was fascinating to see that, you know, from an early age, they learn how to do those visualizations. But, they don't really learn how you can lie with them, or you know, to kind of think critically about that. That, you know, maybe you can start your bar chart at two, and you know, you would have less candy, I guess. But, you could, kind of convey the wrong messages. So, I became passionate about this, and decided we need to just improve our teaching about how we can represent data, and how we can also misrepresent it. In the hope that for the next generation to come, they'll be able to look at a chart, and think critically about it. Whether or not it tells the right story with the right data. Kind of beyond, just picture's worth a thousand words, then I'm not going to think about it. >> Yeah. >> This is kind of my personal effort that I try to move myself forward. (chuckles) >> Well, it's so important about having that passion, and I think that's one of things that seems to be inherent about WiDS. Even, you know, yesterday seeing on the Twitter stream, WiDS New Zealand starting in five minutes, and it's been really focused on being so, kind of inclusive. Just sort of naturally, and one of the things that I learned in some of my prep for the show, is the bias that is still there, in data interpretation. You kind of talked about that, and I never really thought about it in that way. But, if a particular group of people is looking at a data set, and thinking it says this, and no other opinions, perspectives, thoughts are able to be incorporated to go, well, maybe it says this. >> Yeah. >> Then we're limiting ourselves in terms of one, the potential that the data has to, you know, help a business, create a new business model. But also, we're limiting our perspectives on making a massive social impact with data. >> Yeah, what I find very interesting is visualization often people think about it at the end of the spectrum. Like, I've collected my data, I analyze it, and now I need to pretty picture to kind of explain what I found. But, the most powerful use of visualization, I think, comes early on. Where you actually just collected your data, and you look at it before you run any statistical test. I did that not long ago with French air traffic data in the Hollands, I put them in, and I saw the little airplanes moving around. Then, what we saw, is one air planes doing loops like this. I was like, what is this going on, right? It was just a drone, doing like tests, right? But, somehow it got looped in into that data set. So, by looking at your data early on, you can detect what's wrong with the data. So then, when you actually run your statistical test, and your analysis, you better reflect what was that data in the first place, you know, what could go wrong there? So, I think inserting visualization early on is also critical to understand what we can really know, and do, and ask, about the data in the first place. >> So, it's kind of like, watching the story unfold, rather than going, we've done all this analysis here's the picture, the story is this. The story is, your sort of, turning it sort of page by page, it sounds like, and watching it, and interpreting it, as it's unfolding. >> Rethinking what you collected in the first place. Is that the right data you collected to answer the question you wanted to ask? Is it a good match or not? Then, rethink that, you know, collect new data, or the missing one, and then go on with your analysis. So, I think to me, it's really a thinking tool. >> It also sounds like another, we talked about the technical skills that had, obviously that a computer scientist, data scientist needs to have. But, there's other skills. Empathy, communication, collaboration. Sounds like also, there needs to be an ideal kind of skill set, it has to include open mindedness. >> Yes. >> Tell me a little bit about some of your experiences there, and not being married to, the data must say this. So, if it doesn't, I'm not going to look anywhere else. Where is open mindedness, in terms of being a critical skill set that needs to come to the field? >> Yeah, I mean we, that's that is totally a re-critical point. Think already, when you're collecting the data, especially as a scientist, when I run experiment, I kind of know what I want to find. Sometimes, you don't find it. You need to kind of embrace it. But, it's hard to have because sometimes, it's like those unconscious bias you have. Like, you're not really necessarily controlling them, and just the way you collected the data in the first place, maybe just, you know, skewed your result. So, it's very important to kind of think ahead of time of all of those bias you could have, and think about all of what could go wrong. Often, the scientific process is actually that trying to think about all of the stuff that could go wrong, and then check whether or not they're wrong. We're trying to infuse that, a little bit over Microsoft as well, kind of, you know, the data that we collect, can we analyze them, can we have teams of people who really think is that the right data? Are we collecting like, world-wide for example? Are we just collecting from the US? So, there's a lot of those, kind of, ethical, and bias, kind of training, and effort to try and remove that. The maximum from our work, and I think that it's across the entire world. I think, with all of this data collection everywhere, we kind of have to do that, very consciously. >> I think two things kind of speak to me that out of what you just said, that we've heard a number of times today. One, that failure, and I don't mean to say that failure is not a bad thing. That's how you, >> That's how you learn, Exactly, >> and grow. Exactly, in many ways it's not a bad F-word, it's this is how everybody that's successful got to wherever they are. But, it's also about embracing, as you said, the word embracing, embracing the fact that you might be bring bias into this, and you have to be okay with maybe this is the wrong data set. If you consider that a failure, consider it, to your point, a growth opportunity. That is one of the themes that we've heard today, and you've, kind of, elaborated on that. The second one is, be okay getting uncomfortable, get out of that comfort zone. Consciously uncomfortable, because when you're able to do that, the possibilities are limitless. >> Yes, and that's what I try to do everyday, 'cause I try to push all of the software that we're doing, and Microsoft is so big, you know, and all of those software are like so there. (laughs) So trying to come up with new ideas, like so many are failures, you know. Oh they won't make money, or they don't actually work when you, you know, for this population. So, most of my work is failure. (laughs) But hey, one success when you know why, and I'm happy about it. >> Exactly, but it's just charting that course to getting to the ah, this is the pot of gold at the end of the rainbow. Well Nathalie, thank you so much for taking some time to talk with us on theCUBE, and sharing your stories. Congratulations on being a speaker, your first WiDS, and we look forward to seeing you back next year. >> Thank you very much. >> We want to thank you for watching theCUBE. I'm Lisa Martin, live from WiDS 2018 at Stanford University. Stick around, I'll be back with my next guest after a short break. (light electronic music)

>> Narrator: Live from Stanford University in Palo Alto, California, it's the CUBE! Covering, Women in Data Science Conference 2018, brought to you by Stanford. >> Welcome back to the CUBE, we are live at Stanford University, we've been here all day at the third annual Women in Data Science Conference, WiDS 2018. This event is remarkable in its growth in scale, in its third year, and that is, in part by the partners and the sponsors that they have been able to glean quite early on. I'm excited to be joined by Vijay Raghavendra, the senior vice president of Merchant Technology and stores as well, from Walmart Labs. Vijay, welcome to the CUBE! >> Thank you, thank you for having me. >> Walmart Labs has been paramount to the success of WiDS, we had Margot Gerritsen on earlier, and I said, "How did you get the likes of a Walmart Labs as a partner?" And, she was telling me that, the coffee-- the coffee shop conversation >> Yeah, the Coupa Cafe! >> That she had with Walmart Labs a few years ago, and said, "Really, partners and sponsors like Walmart have been instrumental in the growth and the scale, of this event." And, we've got the buzz around, so we can hear the people here, but this is the big event at Stanford. There's 177 regional events, 177! In 53 countries. It's incredible. Incredible, the reach. So, tell me a little bit about the... From Walmart Labs perspective, the partnership with WiDS, what is it that really kind of was an "Aha! We've got to do this"? >> Yeah, it's just incredible, seeing all of these women and women data scientists here. It all started with Esteban Arcaute, who used to lead data science at Walmart Labs, and Search, before he moved on to Facebook with Margot. And, Karen in the cafe in Palo Alto, in 2015, I think. And Esteban and I had been talking about how we really expand the leverage of data and data science within Walmart, but more specifically, how we get more women into data science. And, that was really the genesis of that, and, it was really-- credit goes to Esteban, Margot, and Karen for, really, thinking through it, bringing it together, and, here we are. >> Right, I mean bringing it together from that concept, that conversation here at Stanford Cafe to the first event was six months. >> Yeah, from June to November, and, it's just incredible the way they put it together. And, from a Walmart Labs perspective, we were thrilled to be a huge part of it. And, all the way up the leadership chain there was complete support, including my boss Jeremy King, who was all in, and, that really helped. >> Margot was, when we were chatting earlier, she was saying, "It's still sort of surprising," and she said she's been, I think in, in the industry for, 30-plus years, and she said that, she always thought, back in the day, that by the time she was older, this problem would be solved, this gender gap. And she says, "Actually, it's not like it's still stagnant," we're almost behind, in a sense. When I look at the ... women that are here, in Stanford, and those that are participating via those regional events, the livestream that WiDS is doing, as well as their Facebook livestream. You know, the lofty goal and opportunity to reach 100,000 people shows you that there's clearly a demand, there's a need for this. I'd love to get your perspective on data science at Walmart Labs. Tell me a little bit about the team that you're leading, you lead a team of engineers, data scientists, product managers, you guys are driving some of the core capabilities that drive global e-commerce for Walmart. Tell me about, what you see as important for that female perspective, to help influence, not only what Walmart Labs is doing, but technology and industry in general. >> Yeah. So, the team I lead is called Merchant Technology, and my teams are responsible for, almost every aspect of what drives merchandising within Walmart, both on e-commerce and stores. So, within the purview of my teams are everything from the products our customers want, the products we should be carrying either in stores or online, to, the product catalog, to search, to the way the products are actually displayed within a store, to the way we do pricing. All of these are aspects of what my teams are driving. And, data and data science really put me at every single aspect of this. And the reason why we are so excited about women in data science and why getting that perspective is so important, is, we are in the retail business, and our customers are really span the entire spectrum, from, obviously a lot of women shop at Walmart, lot of moms, lot of millennials, and, across the entire spectrum. And, our workforce needs to reflect our customers. That's when you build great products. That's when you build products that you can relate to as a customer, and, to us that is a big part of what is driving, not just the interest in data science, but, really ensuring that we have as diverse and as inclusive a community within Walmart, so we can build products that customers can really relate to. >> Speaking of being relatable, I think that is a key thing here that, a theme that we're hearing from the guests that we're talking to, as well as some of the other conversations is, wanting to inspire the next generation, and helping them understand how data science relates to, every industry. It's very horizontal, but it also, like a tech company, or any company these days is a tech company, really, can transform to a digital business, to compete, to become more profitable. It opens up new business models, right, new opportunities for that. So does data science open up so many, almost infinite opportunities and possibilities on the career front. So that's one of the things that we're hearing, is being able to relate that to the next generation to understand, they don't have to fit in the box. As a data scientist, it sounds like from your team, is quite interdisciplinary, and collaborative. >> And, to us that is really the essence of, or the magic of, how you build great products. For us data science is not a function that is sitting on the side. For us, it is the way we operate as we have engineers, product managers, folks from the business teams, with our data scientists, really working together and collaborating every single day, to build great products. And that's, really how we see this evolving, it's not as a separate function, but, as a function that is really integrated into every single aspect of what we do. >> Right. One of the things that we talked about is, that's thematic for WiDS, is being able to inspire and educate data scientists worldwide, and obviously with the focus of helping females. But it's not just the younger generation. Some of the things that we're also hearing today at WiDS 2018 is, there's also an opportunity within this community to reinvigorate the women that have been in, in STEM and academia and industry for quite a while. Tell me a little bit more about your team and, maybe some of the more veterans and, how do you kind of get that spirit of collaboration so that those that, maybe, have been in, in the industry for a while get inspired and, maybe get that fire relit underneath them. >> That's a great question, because we, on our teams, when you look across all the different teams across different locations, we have a great mix of folks that bring very different, diverse experiences to the table. And, what we've found, especially with the way we are leveraging data, and, how that is invigorating the way we are... How people come to the table, is really almost seeing the art of what is possible. We are able to have, with data, with data science, we are able to do things that, are, really step functions in terms of the speed at which we can do things. Or, the- for example, take something as simple as search, product search, which is one of the, capabilities we own, or my team is responsible for, but, you could build the machine learning ranking, and, relevance and ranking algorithms, but, when you combine it with, for example, a merchant that really fundamentally understands their category, and you combine data science with that, you can accelerate the learning in ways that is not possible. And when folks see that, and see that in operation that really opens up a whole, slew of other ideas and possibilities that they think about. >> And, I couldn't agree more. Looking at sort of the skillset, we talk a lot about, the obvious technical skillset, that a data scientist needs to have, but there's also, the skills of, empathy, of communication, of collaboration. Tell me about your thoughts on, what is an ideal mix, of skills that that data scientist, in this interdisciplinary function, should have. >> Yeah, in fact, I was talking with a few folks over lunch about just this question! To me, some of the technical skills, the grounding in math and analytics, are table stakes. Beyond that, what we look for in data scientists really starts with curiosity. Are they really curious about the problems they're trying to solve? Do they have tenacity? Do they settle for the more obvious answers, or do they really dig into, the root cause, or the root, core of the problems? Do they have the empathy for our customers and for our business partners, because unless you're able to put yourself in those shoes, you're going to be approaching at, maybe, in somewhat of an antiseptic way? And it doesn't really work. And the last, but one of the most important parts is, we look for folks who have a good sense for product and business. Are they able to really get into it, and learn the domain? So for example, if someone's working on pricing, do they really understand pricing, or can they really understand pricing? We don't expect them to know pricing when they come in, but, the aptitude and the attitude is really, really critical, almost as much as the core technical skills, because, in some ways, you can teach the technical skills, but not some of these other skills. >> Right, and that's an interesting point that you bring up, is, what's teachable, and, I won't say what's not, but what might be, maybe not so natural for somebody. One of the things, too, that is happening at WiDS 2018 is the first annual Datathon. And, Margot was sharing this huge number of participants that they had and they set a few ground rules like wanting the teams to be 50% female, but, tell us about the Datathon from your global visionary sponsorship level; what excites you about that in terms of, the participation in the community and the potential of, "Wow, what's next"? >> Yeah... So, it's hugely exciting for us, just seeing the energy that we've seen. And, the way people are approaching different problems, using data to solve very different kinds of problems ... across the spectrum. And for us, that is a big part of what we look for. For us it is really about, not just coming up with a solution, that's in search of a problem, but really looking at real-world problems and looking at it from the perspective of, "Can I bring data, can I bring data science to bear on this problem?", to solve it in ways that, either are not possible, or can accelerate the way we would solve the problems otherwise. And that is a big part of what is exciting. >> Yeah, and the fact that the impact that data science can make to, every element of our lives is, like I said before, it's infinite, the possibilities are infinite. But that impact is something that, I think, how exciting to be able to be in an industry or a field, that is so pervasive and so horizontal, that you can make a really big social impact. One of they other things, too, that Margot said. She mentioned that the Datathon should be fun, and I loved that, and also have an element of creativity. What's that balance of, creativity in data science? Like, what's the mixture, because we can be maybe over-creative, and maybe interpret something that's in a biased way. What is your recommendation on how much creativity can creep into, and influence, positively, data science? >> Yeah, that's a great question, and there's no perfect answer for it. Ultimately, at least my biases towards using data and data science to, solve real problems. And... As opposed to, pure research, so our focus very much is on applied learning, and applied science. And, to me, within that, I do want the data science to be creative, data scientists to be creative, because, by putting too many guardrails, you limit the way in which they would explore the data, that they may come up with insights that, well, we might not see otherwise. And, which is why, I go back to the point I made, when you have data scientists who fundamentally understand a business, and the business problems we are trying to solve, or the business domains, I think they can then come up with very interesting, innovative ways of looking at the data, and the problem, that you might not otherwise. So, I would by no means want to limit their creativity, but I do have a bias towards ensuring that it is focused on problems we are trying to solve. >> Excellent. Well, Vijay, thank you so much for stopping by the CUBE, congratulations on the continued success of the partnership with WiDS and, we're looking forward to seeing what happens the rest of the year, and we'll probably see you next year at WiDS 2019! >> Absolutely, thank you! >> Excellent, we want to thank you, you're watching the CUBE, live from Stanford University, the third annual Women in Data Science Conference. I am Lisa Martin, I'll be right back after a short break with my next guest. (cool techno music)