(upbeat music) >> Welcome back to theCUBE's coverage of Women in Data Science 2023 live from Stanford University. This is Lisa Martin. My co-host is Tracy Yuan. We're excited to be having great conversations all day but you know, 'cause you've been watching. We've been interviewing some very inspiring women and some men as well, talking about all of the amazing applications of data science. You're not going to want to miss this next conversation. Our guest is Gabriela de Queiroz, Principal Cloud Advocate Manager of Microsoft. Welcome, Gabriela. We're excited to have you. >> Thank you very much. I'm so excited to be talking to you. >> Yeah, you're on theCUBE. >> Yeah, finally. (Lisa laughing) Like a dream come true. (laughs) >> I know and we love that. We're so thrilled to have you. So you have a ton of experience in the data space. I was doing some research on you. You've worked in software, financial advertisement, health. Talk to us a little bit about you. What's your background in? >> So I was trained in statistics. So I'm a statistician and then I worked in epidemiology. I worked with air pollution and public health. So I was a researcher before moving into the industry. So as I was talking today, the weekly paths, it's exactly who I am. I went back and forth and back and forth and stopped and tried something else until I figured out that I want to do data science and that I want to do different things because with data science we can... The beauty of data science is that you can move across domains. So I worked in healthcare, financial, and then different technology companies. >> Well the nice thing, one of the exciting things that data science, that I geek out about and Tracy knows 'cause we've been talking about this all day, it's just all the different, to your point, diverse, pun intended, applications of data science. You know, this morning we were talking about, we had the VP of data science from Meta as a keynote. She came to theCUBE talking and really kind of explaining from a content perspective, from a monetization perspective, and of course so many people in the world are users of Facebook. It makes it tangible. But we also heard today conversations about the applications of data science in police violence, in climate change. We're in California, we're expecting a massive rainstorm and we don't know what to do when it rains or snows. But climate change is real. Everyone's talking about it, and there's data science at its foundation. That's one of the things that I love. But you also have a lot of experience building diverse teams. Talk a little bit about that. You've created some very sophisticated data science solutions. Talk about your recommendation to others to build diverse teams. What's in it for them? And maybe share some data science project or two that you really found inspirational. >> Yeah, absolutely. So I do love building teams. Every time I'm given the task of building teams, I feel the luckiest person in the world because you have the option to pick like different backgrounds and all the diverse set of like people that you can find. I don't think it's easy, like people say, yeah, it's very hard. You have to be intentional. You have to go from the very first part when you are writing the job description through the interview process. So you have to be very intentional in every step. And you have to think through when you are doing that. And I love, like my last team, we had like 10 people and we were so diverse. Like just talking about languages. We had like 15 languages inside a team. So how beautiful it is. Like all different backgrounds, like myself as a statistician, but we had people from engineering background, biology, languages, and so on. So it's, yeah, like every time thinking about building a team, if you wanted your team to be diverse, you need to be intentional. >> I'm so glad you brought up that intention point because that is the fundamental requirement really is to build it with intention. >> Exactly, and I love to hear like how there's different languages. So like I'm assuming, or like different backgrounds, I'm assuming everybody just zig zags their way into the team and now you're all women in data science and I think that's so precious. >> Exactly. And not only woman, right. >> Tracy: Not only woman, you're right. >> The team was diverse not only in terms of like gender, but like background, ethnicity, and spoken languages, and language that they use to program and backgrounds. Like as I mentioned, not everybody did the statistics in school or computer science. And it was like one of my best teams was when we had this combination also like things that I'm good at the other person is not as good and we have this knowledge sharing all the time. Every day I would feel like I'm learning something. In a small talk or if I was reviewing something, there was always something new because of like the richness of the diverse set of people that were in your team. >> Well what you've done is so impressive, because not only have you been intentional with it, but you sound like the hallmark of a great leader of someone who hires and builds teams to fill gaps. They don't have to know less than I do for me to be the leader. They have to have different skills, different areas of expertise. That is really, honestly Gabriela, that's the hallmark of a great leader. And that's not easy to come by. So tell me, who were some of your mentors and sponsors along the way that maybe influenced you in that direction? Or is that just who you are? >> That's a great question. And I joke that I want to be the role model that I never had, right. So growing up, I didn't have anyone that I could see other than my mom probably or my sister. But there was no one that I could see, I want to become that person one day. And once I was tracing my path, I started to see people looking at me and like, you inspire me so much, and I'm like, oh wow, this is amazing and I want to do do this over and over and over again. So I want to be that person to inspire others. And no matter, like I'll be like a VP, CEO, whoever, you know, I want to be, I want to keep inspiring people because that's so valuable. >> Lisa: Oh, that's huge. >> And I feel like when we grow professionally and then go to the next level, we sometimes we lose that, you know, thing that's essential. And I think also like, it's part of who I am as I was building and all my experiences as I was going through, I became what I mentioned is unique person that I think we all are unique somehow. >> You're a rockstar. Isn't she a rockstar? >> You dropping quotes out. >> I'm loving this. I'm like, I've inspired Gabriela. (Gabriela laughing) >> Oh my God. But yeah, 'cause we were asking our other guests about the same question, like, who are your role models? And then we're talking about how like it's very important for women to see that there is a representation, that there is someone they look up to and they want to be. And so that like, it motivates them to stay in this field and to start in this field to begin with. So yeah, I think like you are definitely filling a void and for all these women who dream to be in data science. And I think that's just amazing. >> And you're a founder too. In 2012, you founded R Ladies. Talk a little bit about that. This is present in more than 200 cities in 55 plus countries. Talk about R Ladies and maybe the catalyst to launch it. >> Yes, so you always start, so I'm from Brazil, I always talk about this because it's such, again, I grew up over there. So I was there my whole life and then I moved to here, Silicon Valley. And when I moved to San Francisco, like the doors opened. So many things happening in the city. That was back in 2012. Data science was exploding. And I found out something about Meetup.com, it's a website that you can join and go in all these events. And I was going to this event and I joke that it was kind of like going to the Disneyland, where you don't know if I should go that direction or the other direction. >> Yeah, yeah. >> And I was like, should I go and learn about data visualization? Should I go and learn about SQL or should I go and learn about Hadoop, right? So I would go every day to those meetups. And I was a student back then, so you know, the budget was very restricted as a student. So we don't have much to spend. And then they would serve dinner and you would learn for free. And then I got to a point where I was like, hey, they are doing all of this as a volunteer. Like they are running this meetup and events for free. And I felt like it's a cycle. I need to do something, right. I'm taking all this in. I'm having this huge opportunity to be here. I want to give back. So that's what how everything started. I was like, no, I have to think about something. I need to think about something that I can give back. And I was using R back then and I'm like how about I do something with R. I love R, I'm so passionate about R, what about if I create a community around R but not a regular community, because by going to this events, I felt that as a Latina and as a woman, I was always in the corner and I was not being able to participate and to, you know, be myself and to network and ask questions. I would be in the corner. So I said to myself, what about if I do something where everybody feel included, where everybody can participate, can share, can ask questions without judgment? So that's how R ladies all came together. >> That's awesome. >> Talk about intentions, like you have to, you had that go in mind, but yeah, I wanted to dive a little bit into R. So could you please talk more about where did the passion for R come from, and like how did the special connection between you and R the language, like born, how did that come from? >> It was not a love at first sight. >> No. >> Not at all. Not at all. Because that was back in Brazil. So all the documentation were in English, all the tutorials, only two. We had like very few tutorials. It was not like nowadays that we have so many tutorials and courses. There were like two tutorials, other documentation in English. So it's was hard for me like as someone that didn't know much English to go through the language and then to learn to program was not easy task. But then as I was going through the language and learning and reading books and finding the people behind the language, I don't know how I felt in love. And then when I came to to San Francisco, I saw some of like the main contributors who are speaking in person and I'm like, wow, they are like humans. I don't know, it was like, I have no idea why I had this love. But I think the the people and then the community was the thing that kept me with the R language. >> Yeah, the community factors is so important. And it's so, at WIDS it's so palpable. I mean I literally walk in the door, every WIDS I've done, I think I've been doing them for theCUBE since 2017. theCUBE has been here since the beginning in 2015 with our co-founders. But you walk in, you get this sense of belonging. And this sense of I can do anything, why not? Why not me? Look at her up there, and now look at you speaking in the technical talk today on theCUBE. So inspiring. One of the things that I always think is you can't be what you can't see. We need to be able to see more people that look like you and sound like you and like me and like you as well. And WIDS gives us that opportunity, which is fantastic, but it's also helping to move the needle, really. And I was looking at some of the Anitab.org stats just yesterday about 2022. And they're showing, you know, the percentage of females in technical roles has been hovering around 25% for a while. It's a little higher now. I think it's 27.6 according to any to Anitab. We're seeing more women hired in roles. But what are the challenges, and I would love to get your advice on this, for those that might be in this situation is attrition, women who are leaving roles. What would your advice be to a woman who might be trying to navigate family and work and career ladder to stay in that role and keep pushing forward? >> I'll go back to the community. If you don't have a community around you, it's so hard to navigate. >> That's a great point. >> You are lonely. There is no one that you can bounce ideas off, that you can share what you are feeling or like that you can learn as well. So sometimes you feel like you are the only person that is going through that problem or like, you maybe have a family or you are planning to have a family and you have to make a decision. But you've never seen anyone going through this. So when you have a community, you see people like you, right. So that's where we were saying about having different people and people like you so they can share as well. And you feel like, oh yeah, so they went through this, they succeed. I can also go through this and succeed. So I think the attrition problem is still big problem. And I'm sure will be worse now with everything that is happening in Tech with layoffs. >> Yes and the great resignation. >> Yeah. >> We are going back, you know, a few steps, like a lot of like advancements that we did. I feel like we are going back unfortunately, but I always tell this, make sure that you have a community. Make sure that you have a mentor. Make sure that you have someone or some people, not only one mentor, different mentors, that can support you through this trajectory. Because it's not easy. But there are a lot of us out there. >> There really are. And that's a great point. I love everything about the community. It's all about that network effect and feeling like you belong- >> That's all WIDS is about. >> Yeah. >> Yes. Absolutely. >> Like coming over here, it's like seeing the old friends again. It's like I'm so glad that I'm coming because I'm all my old friends that I only see like maybe once a year. >> Tracy: Reunion. >> Yeah, exactly. And I feel like that our tank get, you know- >> Lisa: Replenished. >> Exactly. For the rest of the year. >> Yes. >> Oh, that's precious. >> I love that. >> I agree with that. I think one of the things that when I say, you know, you can't see, I think, well, how many females in technology would I be able to recognize? And of course you can be female technology working in the healthcare sector or working in finance or manufacturing, but, you know, we need to be able to have more that we can see and identify. And one of the things that I recently found out, I was telling Tracy this earlier that I geeked out about was finding out that the CTO of Open AI, ChatGPT, is a female. I'm like, (gasps) why aren't we talking about this more? She was profiled on Fast Company. I've seen a few pieces on her, Mira Murati. But we're hearing so much about ChatJTP being... ChatGPT, I always get that wrong, about being like, likening it to the launch of the iPhone, which revolutionized mobile and connectivity. And here we have a female in the technical role. Let's put her on a pedestal because that is hugely inspiring. >> Exactly, like let's bring everybody to the front. >> Yes. >> Right. >> And let's have them talk to us because like, you didn't know. I didn't know probably about this, right. You didn't know. Like, we don't know about this. It's kind of like we are hidden. We need to give them the spotlight. Every woman to give the spotlight, so they can keep aspiring the new generation. >> Or Susan Wojcicki who ran, how long does she run YouTube? All the YouTube influencers that probably have no idea who are influential for whatever they're doing on YouTube in different social platforms that don't realize, do you realize there was a female behind the helm that for a long time that turned it into what it is today? That's outstanding. Why aren't we talking about this more? >> How about Megan Smith, was the first CTO on the Obama administration. >> That's right. I knew it had to do with Obama. Couldn't remember. Yes. Let's let's find more pedestals. But organizations like WIDS, your involvement as a speaker, showing more people you can be this because you can see it, >> Yeah, exactly. is the right direction that will help hopefully bring us back to some of the pre-pandemic levels, and keep moving forward because there's so much potential with data science that can impact everyone's lives. I always think, you know, we have this expectation that we have our mobile phone and we can get whatever we want wherever we are in the world and whatever time of day it is. And that's all data driven. The regular average person that's not in tech thinks about data as a, well I'm paying for it. What's all these data charges? But it's powering the world. It's powering those experiences that we all want as consumers or in our business lives or we expect to be able to do a transaction, whether it's something in a CRM system or an Uber transaction like that, and have the app respond, maybe even know me a little bit better than I know myself. And that's all data. So I think we're just at the precipice of the massive impact that data science will make in our lives. And luckily we have leaders like you who can help navigate us along this path. >> Thank you. >> What advice for, last question for you is advice for those in the audience who might be nervous or maybe lack a little bit of confidence to go I really like data science, or I really like engineering, but I don't see a lot of me out there. What would you say to them? >> Especially for people who are from like a non-linear track where like going onto that track. >> Yeah, I would say keep going. Keep going. I don't think it's easy. It's not easy. But keep going because the more you go the more, again, you advance and there are opportunities out there. Sometimes it takes a little bit, but just keep going. Keep going and following your dreams, that you get there, right. So again, data science, such a broad field that doesn't require you to come from a specific background. And I think the beauty of data science exactly is this is like the combination, the most successful data science teams are the teams that have all these different backgrounds. So if you think that we as data scientists, we started programming when we were nine, that's not true, right. You can be 30, 40, shifting careers, starting to program right now. It doesn't matter. Like you get there no matter how old you are. And no matter what's your background. >> There's no limit. >> There was no limits. >> I love that, Gabriela, >> Thank so much. for inspiring. I know you inspired me. I'm pretty sure you probably inspired Tracy with your story. And sometimes like what you just said, you have to be your own mentor and that's okay. Because eventually you're going to turn into a mentor for many, many others and sounds like you're already paving that path and we so appreciate it. You are now officially a CUBE alumni. >> Yes. Thank you. >> Yay. We've loved having you. Thank you so much for your time. >> Thank you. Thank you. >> For our guest and for Tracy's Yuan, this is Lisa Martin. We are live at WIDS 23, the eighth annual Women in Data Science Conference at Stanford. Stick around. Our next guest joins us in just a few minutes. (upbeat music)

(ambient music) >> Good morning, everyone. Lisa Martin with theCUBE, live at the eighth Annual Women in Data Science Conference. This is one of my absolute favorite events of the year. We engage with tons of great inspirational speakers, men and women, and what's happening with WiDS is a global movement. I've got two fabulous co-hosts with me today that you're going to be hearing and meeting. Please welcome Tracy Zhang and Hannah Freitag, who are both from the sata journalism program, master's program, at Stanford. So great to have you guys. >> So excited to be here. >> So data journalism's so interesting. Tracy, tell us a little bit about you, what you're interested in, and then Hannah we'll have you do the same thing. >> Yeah >> Yeah, definitely. I definitely think data journalism is very interesting, and in fact, I think, what is data journalism? Is definitely one of the big questions that we ask during the span of one year, which is the length of our program. And yeah, like you said, I'm in this data journalism master program, and I think coming in I just wanted to pivot from my undergrad studies, which is more like a traditional journalism, into data. We're finding stories through data, so that's why I'm also very excited about meeting these speakers for today because they're all, they have different backgrounds, but they all ended up in data science. So I think they'll be very inspirational and I can't wait to talk to them. >> Data in stories, I love that. Hannah, tell us a little bit about you. >> Yeah, so before coming to Stanford, I was a research assistant at Humboldt University in Berlin, so I was in political science research. And I love to work with data sets and data, but I figured that, for me, I don't want this story to end up in a research paper, which is only very limited in terms of the audience. And I figured, okay, data journalism is the perfect way to tell stories and use data to illustrate anecdotes, but to make it comprehensive and accessible for a broader audience. So then I found this program at Stanford and I was like, okay, that's the perfect transition from political science to journalism, and to use data to tell data-driven stories. So I'm excited to be in this program, I'm excited for the conference today and to hear from these amazing women who work in data science. >> You both brought up great points, and we were chatting earlier that there's a lot of diversity in background. >> Tracy: Definitely. >> Not everyone was in STEM as a young kid or studied computer science. Maybe some are engineering, maybe some are are philosophy or economic, it's so interesting. And what I find year after year at WiDS is it brings in so much thought diversity. And that's what being data-driven really demands. It demands that unbiased approach, that diverse, a spectrum of diverse perspectives, and we definitely get that at WiDS. There's about 350 people in person here, but as I mentioned in the opening, hundreds of thousands will engage throughout the year, tens of thousands probably today at local events going on across the globe. And it just underscores the importance of every organization, whether it's a bank or a grocer, has to be data-driven. We have that expectation as consumers in our consumer lives, and even in our business lives, that I'm going to engage with a business, whatever it is, and they're going to know about me, they're going to deliver me a personalized experience that's relevant to me and my history. And all that is powered by data science, which is I think it's fascinating. >> Yeah, and the great way is if you combine data with people. Because after all, large data sets, they oftentimes consist of stories or data that affects people. And to find these stories or advanced research in whatever fields, maybe in the financial business, or in health, as you mentioned, the variety of fields, it's very powerful, powerful tool to use. >> It's a very power, oh, go ahead Tracy. >> No, definitely. I just wanted to build off of that. It's important to put a face on data. So a dataset without a name is just some numbers, but if there's a story, then I think it means something too. And I think Margot was talking about how data science is about knowing or understanding the past, I think that's very interesting. That's a method for us to know who we are. >> Definitely. There's so many opportunities. I wanted to share some of the statistics from AnitaB.org that I was just looking at from 2022. We always talk at events like WiDS, and some of the other women in tech things, theCUBE is very much pro-women in tech, and has been for a very long, since the beginning of theCUBE. But we've seen the numbers of women technologists historically well below 25%, and we see attrition rates are high. And so we often talk about, well, what can we do? And part of that is raising the awareness. And that's one of the great things about WiDS, especially WiDS happening on International Women's Day, today, March 8th, and around event- >> Tracy: A big holiday. >> Exactly. But one of the nice things I was looking at, the AnitaB.org research, is that representation of tech women is on the rise, still below pre-pandemic levels, but it's actually nearly 27% of women in technical roles. And that's an increase, slow increase, but the needle is moving. We're seeing much more gender diversity across a lot of career levels, which is exciting. But some of the challenges remain. I mean, the representation of women technologists is growing, except at the intern level. And I thought that was really poignant. We need to be opening up that pipeline and going younger. And you'll hear a lot of those conversations today about, what are we doing to reach girls in grade school, 10 year olds, 12 year olds, those in high school? How do we help foster them through their undergrad studies- >> And excite them about science and all these fields, for sure. >> What do you think, Hannah, on that note, and I'll ask you the same question, what do you think can be done? The theme of this year's International Women's Day is Embrace Equity. What do you think can be done on that intern problem to help really dial up the volume on getting those younger kids interested, one, earlier, and two, helping them stay interested? >> Yeah. Yeah, that's a great question. I think it's important to start early, as you said, in school. Back in the day when I went to high school, we had this one day per year where we could explore as girls, explore a STEM job and go into the job for one day and see how it's like to work in a, I dunno, in IT or in data science, so that's a great first step. But as you mentioned, it's important to keep girls and women excited about this field and make them actually pursue this path. So I think conferences or networking is very powerful. Also these days with social media and technology, we have more ability and greater ways to connect. And I think we should even empower ourselves even more to pursue this path if we're interested in data science, and not be like, okay, maybe it's not for me, or maybe as a woman I have less chances. So I think it's very important to connect with other women, and this is what WiDS is great about. >> WiDS is so fantastic for that network effect, as you talked about. It's always such, as I was telling you about before we went live, I've covered five or six WiDS for theCUBE, and it's always such a day of positivity, it's a day of of inclusivity, which is exactly what Embrace Equity is really kind of about. Tracy, talk a little bit about some of the things that you see that will help with that hashtag Embrace Equity kind of pulling it, not just to tech. Because we're talking and we saw Meta was a keynote who's going to come to talk with Hannah and me in a little bit, we see Total Energies on the program today, we see Microsoft, Intuit, Boeing Air Company. What are some of the things you think that can be done to help inspire, say, little Tracy back in the day to become interested in STEM or in technology or in data? What do you think companies can and should be doing to dial up the volume for those youngsters? >> Yeah, 'cause I think somebody was talking about, one of the keynote speakers was talking about how there is a notion that girls just can't be data scientists. girls just can't do science. And I think representation definitely matters. If three year old me see on TV that all the scientists are women, I think I would definitely have the notion that, oh, this might be a career choice for me and I can definitely also be a scientist if I want. So yeah, I think representation definitely matters and that's why conference like this will just show us how these women are great in their fields. They're great data scientists that are bringing great insight to the company and even to the social good as well. So yeah, I think that's very important just to make women feel seen in this data science field and to listen to the great woman who's doing amazing work. >> Absolutely. There's a saying, you can't be what you can't see. >> Exactly. >> And I like to say, I like to flip it on its head, 'cause we can talk about some of the negatives, but there's a lot of positives and I want to share some of those in a minute, is that we need to be, that visibility that you talked about, the awareness that you talked about, it needs to be there but it needs to be sustained and maintained. And an organization like WiDS and some of the other women in tech events that happen around the valley here and globally, are all aimed at raising the profile of these women so that the younger, really, all generations can see what they can be. We all, the funny thing is, we all have this expectation whether we're transacting on Uber ride or we are on Netflix or we're buying something on Amazon, we can get it like that. They're going to know who I am, they're going to know what I want, they're going to want to know what I just bought or what I just watched. Don't serve me up something that I've already done that. >> Hannah: Yeah. >> Tracy: Yeah. >> So that expectation that everyone has is all about data, though we don't necessarily think about it like that. >> Hannah: Exactly. >> Tracy: Exactly. >> But it's all about the data that, the past data, the data science, as well as the realtime data because we want to have these experiences that are fresh, in the moment, and super relevant. So whether women recognize it or not, they're data driven too. Whether or not you're in data science, we're all driven by data and we have these expectations that every business is going to meet it. >> Exactly. >> Yeah. And circling back to young women, I think it's crucial and important to have role models. As you said, if you see someone and you're younger and you're like, oh I want to be like her. I want to follow this path, and have inspiration and a role model, someone you look up to and be like, okay, this is possible if I study the math part or do the physics, and you kind of have a goal and a vision in mind, I think that's really important to drive you. >> Having those mentors and sponsors, something that's interesting is, I always, everyone knows what a mentor is, somebody that you look up to, that can guide you, that you admire. I didn't learn what a sponsor was until a Women in Tech event a few years ago that we did on theCUBE. And I was kind of, my eyes were open but I didn't understand the difference between a mentor and a sponsor. And then it got me thinking, who are my sponsors? And I started going through LinkedIn, oh, he's a sponsor, she's a sponsor, people that help really propel you forward, your recommenders, your champions, and it's so important at every level to build that network. And we have, to your point, Hannah, there's so much potential here for data drivenness across the globe, and there's so much potential for women. One of the things I also learned recently , and I wanted to share this with you 'cause I'm not sure if you know this, ChatGPT, exploding, I was on it yesterday looking at- >> Everyone talking about it. >> What's hot in data science? And it was kind of like, and I actually asked it, what was hot in data science in 2023? And it told me that it didn't know anything prior to 2021. >> Tracy: Yes. >> Hannah: Yeah. >> So I said, Oh, I'm so sorry. But everyone's talking about ChatGPT, it is the most advanced AI chatbot ever released to the masses, it's on fire. They're likening it to the launch of the iPhone, 100 million-plus users. But did you know that the CTO of ChatGPT is a woman? >> Tracy: I did not know, but I learned that. >> I learned that a couple days ago, Mira Murati, and of course- >> I love it. >> She's been, I saw this great profile piece on her on Fast Company, but of course everything that we're hearing about with respect to ChatGPT, a lot on the CEO. But I thought we need to help dial up the profile of the CTO because she's only 35, yet she is at the helm of one of the most groundbreaking things in our lifetime we'll probably ever see. Isn't that cool? >> That is, yeah, I completely had no idea. >> I didn't either. I saw it on LinkedIn over the weekend and I thought, I have to talk about that because it's so important when we talk about some of the trends, other trends from AnitaB.org, I talked about some of those positive trends. Overall hiring has rebounded in '22 compared to pre-pandemic levels. And we see also 51% more women being hired in '22 than '21. So the data, it's all about data, is showing us things are progressing quite slowly. But one of the biggest challenges that's still persistent is attrition. So we were talking about, Hannah, what would your advice be? How would you help a woman stay in tech? We saw that attrition last year in '22 according to AnitaB.org, more than doubled. So we're seeing women getting into the field and dropping out for various reasons. And so that's still an extent concern that we have. What do you think would motivate you to stick around if you were in a technical role? Same question for you in a minute. >> Right, you were talking about how we see an increase especially in the intern level for women. And I think if, I don't know, this is a great for a start point for pushing the momentum to start growth, pushing the needle rightwards. But I think if we can see more increase in the upper level, the women representation in the upper level too, maybe that's definitely a big goal and something we should work towards to. >> Lisa: Absolutely. >> But if there's more representation up in the CTO position, like in the managing level, I think that will definitely be a great factor to keep women in data science. >> I was looking at some trends, sorry, Hannah, forgetting what this source was, so forgive me, that was showing that there was a trend in the last few years, I think it was Fast Company, of more women in executive positions, specifically chief operating officer positions. What that hasn't translated to, what they thought it might translate to, is more women going from COO to CEO and we're not seeing that. We think of, if you ask, name a female executive that you'd recognize, everyone would probably say Sheryl Sandberg. But I was shocked to learn the other day at a Women in Tech event I was doing, that there was a survey done by this organization that showed that 78% of people couldn't identify. So to your point, we need more of them in that visible role, in the executive suite. >> Tracy: Exactly. >> And there's data that show that companies that have women, companies across industries that have women in leadership positions, executive positions I should say, are actually more profitable. So it's kind of like, duh, the data is there, it's telling you this. >> Hannah: Exactly. >> Right? >> And I think also a very important point is work culture and the work environment. And as a woman, maybe if you enter and you work two or three years, and then you have to oftentimes choose, okay, do I want family or do I want my job? And I think that's one of the major tasks that companies face to make it possible for women to combine being a mother and being a great data scientist or an executive or CEO. And I think there's still a lot to be done in this regard to make it possible for women to not have to choose for one thing or the other. And I think that's also a reason why we might see more women at the entry level, but not long-term. Because they are punished if they take a couple years off if they want to have kids. >> I think that's a question we need to ask to men too. >> Absolutely. >> How to balance work and life. 'Cause we never ask that. We just ask the woman. >> No, they just get it done, probably because there's a woman on the other end whose making it happen. >> Exactly. So yeah, another thing to think about, another thing to work towards too. >> Yeah, it's a good point you're raising that we have this conversation together and not exclusively only women, but we all have to come together and talk about how we can design companies in a way that it works for everyone. >> Yeah, and no slight to men at all. A lot of my mentors and sponsors are men. They're just people that I greatly admire who saw raw potential in me 15, 18 years ago, and just added a little water to this little weed and it started to grow. In fact, theCUBE- >> Tracy: And look at you now. >> Look at me now. And theCUBE, the guys Dave Vellante and John Furrier are two of those people that are sponsors of mine. But it needs to be diverse. It needs to be diverse and gender, it needs to include non-binary people, anybody, shouldn't matter. We should be able to collectively work together to solve big problems. Like the propaganda problem that was being discussed in the keynote this morning with respect to China, or climate change. Climate change is a huge challenge. Here, we are in California, we're getting an atmospheric river tomorrow. And Californians and rain, we're not so friendly. But we know that there's massive changes going on in the climate. Data science can help really unlock a lot of the challenges and solve some of the problems and help us understand better. So there's so much real-world implication potential that being data-driven can really lead to. And I love the fact that you guys are studying data journalism. You'll have to help me understand that even more. But we're going to going to have great conversations today, I'm so excited to be co-hosting with both of you. You're going to be inspired, you're going to learn, they're going to learn from us as well. So let's just kind of think of this as a community of men, women, everything in between to really help inspire the current generations, the future generations. And to your point, let's help women feel confident to be able to stay and raise their hand for fast-tracking their careers. >> Exactly. >> What are you guys, last minute, what are you looking forward to most for today? >> Just meeting these great women, I can't wait. >> Yeah, learning from each other. Having this conversation about how we can make data science even more equitable and hear from the great ideas that all these women have. >> Excellent, girls, we're going to have a great day. We're so glad that you're here with us on theCUBE, live at Stanford University, Women in Data Science, the eighth annual conference. I'm Lisa Martin, my two co-hosts for the day, Tracy Zhang, Hannah Freitag, you're going to be seeing a lot of us, we appreciate. Stick around, our first guest joins Hannah and me in just a minute. (ambient music)

>>Hey guys. Welcome back to the Cubes coverage of Ansible Fast 2022. This is day two of our wall to wall coverage. Lisa Martin here with John Ferer. John, we're seeing this world where companies are saying if we can't automate it, we need to, The automation market is transforming. There's been a lot of buzz about that. A lot of technical chops here at Ansible Fest. >>Yeah, I mean, we've got a great guest here coming on Cuba alumni, Dean Newman, future room. He travels every event he's got. He's got his nose to the grindstone ear to the ground. Great analysis. I mean, we're gonna get into why it's important. How does Ansible fit into the big picture? It's really gonna be a great segment. The >>Board do it well, John just did my job for me about, I'll introduce him again. Daniel Newman, one of our alumni is Back Principal Analyst at Future and Research. Great to have you back on the cube. >>Yeah, it's good to join you. Excited to be back in Chicago. I don't know if you guys knew this, but for 40 years, this was my hometown. Now I don't necessarily brag about that anymore. I'm, I live in Austin now. I'm a proud Texan, but I did grow up here actually out in the west suburbs. I got off the plane, I felt the cold air, and I almost turned around and said, Does this thing go back? Yeah. Cause I'm, I've, I've grown thin skin. It did not take me long. I, I like the warm, Come on, >>I'm the saying, I'm from California and I got off the plane Monday. I went, Whoa, I need a coat. And I was in Miami a week ago and it was 85. >>Oh goodness. >>Crazy. So you just flew in. Talk about what's going on, your take on, on Ansible. We've talked a lot with the community, with partners, with customers, a lot of momentum. The flywheel of the community is going around and round and round. What are some of your perspectives that you see? >>Yeah, absolutely. Well, let's you know, I'm gonna take a quick step back. We're entering an era where companies are gonna have to figure out how to do more with less. Okay? We've got exponential data growth, we've got more architectural complexity than ever before. Companies are trying to discern how to deal with many different environments. And just at a macro level, Red Hat is one of the companies that is almost certainly gonna be part of this multi-cloud hybrid cloud era. So that should initially give a lot of confidence to the buying group that are looking at how to automate their environments. You're automating workflows, but really with, with Ansible, we're focused on automating it, automating the network. So as companies are kind of dig out, we're entering this recessionary period, Okay, we're gonna call it what it is. The first thing that they're gonna look at is how do we tech our way out of it? >>I had a wonderful one-on-one conversation with ServiceNow ceo, Bill McDermott, and we saw ServiceNow was in focus this morning in the initial opening session. This is the integration, right? Ansible integrating with ServiceNow. What we need to see is infrastructure automation, layers and applications working in concert to basically enable enterprises to be up and running all the time. Let's first fix the problems that are most common. Let's, let's automate 'em, let's script them. And then at some point, let's have them self resolving, which we saw at the end with Project Wisdom. So as I see it, automation is that layer that enterprises, boards, technologists, all can agree upon are basically here's something that can make our business more efficient, more profitable, and it's gonna deal with this short term downturn in a way that tech is actually gonna be the answer. Just like Bill and I said, let's tech our way out of it. >>If you look at the Red Hat being bought by ibm, you see Project Wisdom Project, not a product, it's a project. Project Wisdom is the confluence of research and practitioners kind of coming together with ai. So bringing AI power to the Ansible is interesting. Red Hat, Linux, Rel OpenShift, I mean, Red Hat's kind of position, isn't it? Kind of be in that right spot where a puck might be coming maybe. I mean, what do you think? >>Yeah, as analysts, we're really good at predicting the, the recent past. It's a joke I always like to make, but Red Hat's been building toward the future. I think for some time. Project Wisdom, first of all, I was very encouraged with it. One of the things that many people in the market probably have commented on is how close is IBM in Red Hat? Now, again, it's a $34 billion acquisition that was made, but boy, the cultures of these two companies couldn't be more different. And of course, Red Hat kind of carries this, this sort of middle ground layer where they provide a lot of value in services to companies that maybe don't use IBM at, at, for the public cloud especially. This was a great indication of how you can take the power of IBM's research, which of course has some of the world's most prolific data scientists, engineers, building things for the future. >>You know, you see things like yesterday they launched a, you know, an AI solution. You know, they're building chips, semiconductors, and technologies that are gonna power the future. They're building quantum. Long story short, they have these really brilliant technologists here that could be adding value to Red Hat. And I don't know that the, the world has fully been able to appreciate that. So when, when they got on stage and they kind of say, Here's how IBM is gonna help power the next generation, I was immediately very encouraged by the fact that the two companies are starting to show signs of how they can collaborate to offer value to their customers. Because of course, as John kind of started off with, his question is, they've kind of been where the puck is going. Open source, Linux hybrid cloud, This is the future. In the future. Every company's multi-cloud. And I said in a one-on-one meeting this morning, every company is going to probably have workloads on every cloud, especially large enterprises. >>Yeah. And I think that the secret's gonna be how do you make that evolve? And one of the things that's coming out of the industry over the years, and looking back as historians, we would say, gotta have standards. Well, with cloud, now people standards might slow things down. So you're gonna start to figure out how does the community and the developers are thinking it'll be the canary in the coal mine. And I'd love to get your reaction on that, because we got Cuban next week. You're seeing people kind of align and try to win the developers, which, you know, I always laugh cuz like, you don't wanna win, you want, you want them on your team, but you don't wanna win them. It's like a, it's like, so developers will decide, >>Well, I, I think what's happening is there are multiple forces that are driving product adoption. And John, getting the developers to support the utilization and adoption of any sort of stack goes a long way. We've seen how sticky it can be, how sticky it is with many of the public cloud pro providers, how sticky it is with certain applications. And it's gonna be sticky here in these interim layers like open source automation. And Red Hat does have a very compelling developer ecosystem. I mean, if you sat in the keynote this morning, I said, you know, if you're not a developer, some of this stuff would've been fairly difficult to understand. But as a developer you saw them laughing at jokes because, you know, what was it the whole part about, you know, it didn't actually, the ping wasn't a success, right? And everybody started laughing and you know, I, I was sitting next to someone who wasn't technical and, and you know, she kinda goes, What, what was so funny? >>I'm like, well, he said it worked. Do you see that? It said zero data trans or whatever that was. So, but if I may just really quickly, one, one other thing I did wanna say about Project Wisdom, John, that the low code and no code to the full stack developer is a continuum that every technology company is gonna have to think deeply about as we go to the future. Because the people that tend to know the process that needs to be automated tend to not be able to code it. And so we've seen every automation company on the planet sort of figuring out and how to address this low code, no code environment. I think the power of this partnership between IBM Research and Red Hat is that they have an incredibly deep bench of capabilities to do things like, like self-training. Okay, you've got so much data, such significant size models and accuracy is a problem, but we need systems that can self teach. They need to be able self-teach, self learn, self-heal so that we can actually get to the crux of what automation is supposed to do for us. And that's supposed to take the mundane out and enable those humans that know how to code to work on the really difficult and hard stuff because the automation's not gonna replace any of that stuff anytime soon. >>So where do you think looking at, at the partnership and the evolution of it between IBM research and Red Hat, and you're saying, you know, they're, they're, they're finally getting this synergy together. How is it gonna affect the future of automation and how is it poised to give them a competitive advantage in the market? >>Yeah, I think the future or the, the competitive space is that, that is, is ecosystems and integration. So yesterday you heard, you know, Red Hat Ansible focusing on a partnership with aws. You know, this week I was at Oracle Cloud world and they're talking about running their database in aws. And, and so I'm kind of going around to get to the answer to your question, but I think collaboration is sort of the future of growth and innovation. You need multiple companies working towards the same goal to put gobs of resources, that's the technical term, gobs of resources towards doing really hard things. And so Ansible has been very successful in automating and securing and focusing on very certain specific workloads that need to be automated, but we need more and there's gonna be more data created. The proliferation, especially the edge. So you saw all this stuff about Rockwell, How do you really automate the edge at scale? You need large models that are able to look and consume a ton of data that are gonna be continuously learning, and then eventually they're gonna be able to deliver value to these companies at scale. IBM plus Red Hat have really great resources to drive this kind of automation. Having said that, I see those partnerships with aws, with Microsoft, with ibm, with ServiceNow. It's not one player coming to the table. It's a lot of players. They >>Gotta be Switzerland. I mean they have the Switzerland. I mean, but the thing about the Amazon deal is like that marketplace integration essentially puts Ansible once a client's in on, on marketplace and you get the central on the same bill. I mean, that's gonna be a money maker for Ansible. I >>Couldn't agree more, John. I think being part of these public cloud marketplaces is gonna be so critical and having Ansible land and of course AWS largest public cloud by volume, largest marketplace today. And my opinion is that partnership will be extensible to the other public clouds over time. That just makes sense. And so you start, you know, I think we've learned this, John, you've done enough of these interviews that, you know, you start with the biggest, with the highest distribution and probability rates, which in this case right now is aws, but it'll land on in Azure, it'll land in Google and it'll continue to, to grow. And that kind of adoption, streamlining make it consumption more consumable. That's >>Always, I think, Red Hat and Ansible, you nailed it on that whole point about multicloud, because what happens then is why would I want to alienate a marketplace audience to use my product when it could span multiple environments, right? So you saw, you heard that Stephanie yesterday talk about they, they didn't say multiple clouds, multiple environments. And I think that is where I think I see this layer coming in because some companies just have to work on all clouds. That's the way it has to be. Why wouldn't you? >>Yeah. Well every, every company will probably end up with some workloads in every cloud. I just think that is the fate. Whether it's how we consume our SaaS, which a lot of people don't think about, but it always tends to be running on another hyperscale public cloud. Most companies tend to be consuming some workloads from every cloud. It's not always direct. So they might have a single control plane that they tend to lead the way with, but that is only gonna continue to change. And every public cloud company seems to be working on figuring out what their niche is. What is the one thing that sort of drives whether, you know, it is, you know, traditional, we know the commoditization of traditional storage network compute. So now you're seeing things like ai, things like automation, things like the edge collaboration tools, software being put into the, to the forefront because it's a different consumption model, it's a different margin and economic model. And then of course it gives competitive advantages. And we've seen that, you know, I came back from Google Cloud next and at Google Cloud next, you know, you can see they're leaning into the data AI cloud. I mean, that is their focus, like data ai. This is how we get people to come in and start using Google, who in most cases, they're probably using AWS or Microsoft today. >>It's a great specialty cloud right there. That's a big use case. I can run data on Google and run something on aws. >>And then of course you've got all kinds of, and this is a little off topic, but you got sovereignty, compliance, regulatory that tends to drive different clouds over, you know, global clouds like Tencent and Alibaba. You know, if your workloads are in China, >>Well, this comes back down at least to the whole complexity issue. I mean, it has to get complex before it gets easier. And I think that's what we're seeing companies opportunities like Ansible to be like, Okay, tame, tame the complexity. >>Yeah. Yeah, I totally agree with you. I mean, look, when I was watching the demonstrations today, my take is there's so many kind of simple, repeatable and mundane tasks in everyday life that enterprises need to, to automate. Do that first, you know? Then the second thing is working on how do you create self-healing, self-teaching, self-learning, You know, and, and I realize I'm a little broken of a broken record at this, but these are those first things to fix. You know, I know we want to jump to the future where we automate every task and we have multi-term conversational AI that is booking our calendars and driving our cars for us. But in the first place, we just need to say, Hey, the network's down. Like, let's make sure that we can quickly get access back to that network again. Let's make sure that we're able to reach our different zones and locations. Let's make sure that robotic arm is continually doing the thing it's supposed to be doing on the schedule that it's been committed to. That's first. And then we can get to some of these really intensive deep metaverse state of automation that we talk about. Self-learning, data replication, synthetic data. I'm just gonna throw terms around. So I sound super smart. >>In your customer conversations though, from an looking at the automation journey, are you finding most of them, or some percentage is, is wanting to go directly into those really complex projects rather than starting with the basics? >>I don't know that you're, you're finding that the customers want to do that? I think it's the architecture that often ends up being a problem is we as, as the vendor side, will tend to talk about the most complex problems that they're able to solve before companies have really started solving the, the immediate problems that are before them. You know, it's, we talk about, you know, the metaphor of the cloud is a great one, but we talk about the cloud, like it's ubiquitous. Yeah. But less than 30% of our workloads are in the public cloud. Automation is still in very early days and in many industries it's fairly nascent. And doing things like self-healing networks is still something that hasn't even been able to be deployed on an enterprise-wide basis, let alone at the industrial layer. Maybe at the company's on manufacturing PLAs or in oil fields. Like these are places that have difficult to reach infrastructure that needs to be running all the time. We need to build systems and leverage the power of automation to keep that stuff up and running. That's, that's just business value, which by the way is what makes the world go running. Yeah. Awesome. >>A lot of customers and users are struggling to find what's the value in automating certain process, What's the ROI in it? How do you help them get there so that they understand how to start, but truly to make it a journey that is a success. >>ROI tends to be a little bit nebulous. It's one of those things I think a lot of analysts do. Things like TCO analysis Yeah. Is an ROI analysis. I think the businesses actually tend to know what the ROI is gonna be because they can basically look at something like, you know, when you have an msa, here's the downtime, right? Business can typically tell you, you know, I guarantee you Amazon could say, Look for every second of downtime, this is how much commerce it costs us. Yeah. A company can generally say, if it was, you know, we had the energy, the windmills company, like they could say every minute that windmill isn't running, we're creating, you know, X amount less energy. So there's a, there's a time value proposition that companies can determine. Now the question is, is about the deployment. You know, we, I've seen it more nascent, like cybersecurity can tend to be nascent. >>Like what does a breach cost us? Well there's, you know, specific costs of actually getting the breach cured or paying for the cybersecurity services. And then there's the actual, you know, ephemeral costs of brand damage and of risks and customer, you know, negative customer sentiment that potentially comes out of it. With automation, I think it's actually pretty well understood. They can look at, hey, if we can do this many more cycles, if we can keep our uptime at this rate, if we can reduce specific workforce, and I'm always very careful about this because I don't believe automation is about replacement or displacement, but I do think it is about up-leveling and it is about helping people work on things that are complex problems that machines can't solve. I mean, said that if you don't need to put as many bodies on something that can be immediately returned to the organization's bottom line, or those resources can be used for something more innovative. So all those things are pretty well understood. Getting the automation to full deployment at scale, though, I think what often, it's not that roi, it's the timeline that gets misunderstood. Like all it projects, they tend to take longer. And even when things are made really easy, like with what Project Wisdom is trying to do, semantically enable through low code, no code and the ability to get more accuracy, it just never tends to happen quite as fast. So, but that's not an automation problem, That's just the crux of it. >>Okay. What are some of the, the next things on your plate? You're quite a, a busy guy. We, you, you were at Google, you were at Oracle, you're here today. What are some of the next things that we can expect from Daniel Newman? >>Oh boy, I moved Really, I do move really quickly and thank you for that. Well, I'm very excited. I'm taking a couple of work personal days. I don't know if you're a fan, but F1 is this weekend. I'm the US Grand Prix. Oh, you're gonna Austin. So I will be, I live in Austin. Oh. So I will be in Austin. I will be at the Grand Prix. It is work because it, you know, I'm going with a number of our clients that have, have sponsorships there. So I'll be spending time figuring out how the data that comes off of these really fun cars is meaningfully gonna change the world. I'll actually be talking to Splunk CEO at the, at the race on Saturday morning. But yeah, I got a lot of great things. I got a, a conversation coming up with the CEO of Twilio next week. We got a huge week of earnings ahead and so I do a lot of work on that. So I'll be on Bloomberg next week with Emily Chang talking about Microsoft and Google. Love talking to Emily, but just as much love being here on, on the queue with you >>Guys. Well we like to hear that. Who you're rooting for F one's your favorite driver. I, >>I, I like Lando. Do you? I'm Norris. I know it's not necessarily a fan favorite, but I'm a bit of a McLaren guy. I mean obviously I have clients with Oracle and Red Bull with Ball Common Ferrari. I've got Cly Splunk and so I have clients in all. So I'm cheering for all of 'em. And on Sunday I'm actually gonna be in the Williams Paddock. So I don't, I don't know if that's gonna gimme me a chance to really root for anything, but I'm always, always a big fan of the underdog. So maybe Latifi. >>There you go. And the data that comes off the how many central unbeliev, the car, it's crazy's. Such a scientific sport. Believable. >>We could have Christian, I was with Christian Horner yesterday, the team principal from Reside. Oh yeah, yeah. He was at the Oracle event and we did a q and a with him and with the CMO of, it's so much fun. F1 has been unbelievable to watch the momentum and what a great, you know, transitional conversation to to, to CX and automation of experiences for fans as the fan has grown by hundreds of percent. But just to circle back full way, I was very encouraged with what I saw today. Red Hat, Ansible, IBM Strong partnership. I like what they're doing in their expanded ecosystem. And automation, by the way, is gonna be one of the most robust investment areas over the next few years, even as other parts of tech continue to struggle that in cyber security. >>You heard it here. First guys, investment in automation and cyber security straight from two analysts. I got to sit between. For our guests and John Furrier, I'm Lisa Martin, you're watching The Cube Live from Chicago, Ansible Fest 22. John and I will be back after a short break. SO'S stick around.

>>Good morning live from Chicago. It's the cube on the floor at Ansible Fast 2022. This is day two of our wall to wall coverage. Lisa Martin here with John Furrier. John, we're gonna be talking next in the segment with two alumni about what Red Hat and IBM are doing to give Ansible users AI superpowers. As one of our alumni guests said, just off the keynote stage, we're nearing an inflection point in ai. >>The power of AI with Ansible is really gonna be an innovative, I think an inflection point for a long time because Ansible does such great things. This segment's gonna explore that innovation, bringing AI and making people more productive and more importantly, you know, this whole low code, no code, kind of right in the sweet spot of the skills gap. So should be a great segment. >>Great segment. Please welcome back two of our alumni. Perry is here, the Chief scientist, IBM Research and IBM Fellow. And Tom Anderson joins us once again, VP and general manager at Red Hat. Gentlemen, great to have you on the program. We're gonna have you back. >>Thank you for having >>Us and thanks for joining us. Fresh off the keynote stage. Really enjoyed your keynote this morning. Very exciting news. You have a project called Project Wisdom. We're talking about this inflection point in ai. Tell the audience, the viewers, what is Project Wisdom And Wisdom differs from intelligence. How >>I think Project Wisdom is really about, as I said, sort of combining two major forces that are in many ways disrupting and, and really constructing many a aspects of our society, which are software and AI together. Yeah. And I truly believe it's gonna result in a se shift on how not just enterprises, but society carries forefront. And as I said, intelligence is, is, I would argue at least artificial intelligence is more, in some ways mechanical, if I may say it, it's about algorithms, it's about data, it's about compute. Wisdom is all about what is truly important to bring out. It's not just about when you bring out a, a insight, when you bring out a decision to be able to explain that decision as well. It's almost like humans have wisdom. Machines have intelligence and, and it's about project wisdom. That's why we called it wisdom. >>Because it is about being a, a assistant augmenting humans. Just like be there with the humans and, and almost think of it as behave and interact with them as another colleague will versus intelligence, which is, you know, as I said, more mechanical is about data. Computer algorithms crunch together and, and we wanna bring the power of project wisdom and artificial intelligence to developers to, as you said, close the skills gap to be able to really make them more productive and have wisdom for Ansible be their assistant. Yeah. To be able to get things for them that they would find many ways mundane, many ways hard to find and again, be an assistant and augmented, >>You know, you know what's interesting, I want to get into the origin, how it all happened, but interesting IBM research, well known for the deep tech, big engineering. And you guys have been doing this for a long time, so congratulations. But it's interesting here at this event, even on stage here event, you're starting to see the automation come in. So the question comes up, scale. So what happens, IBM buys Red Hat, you go raid the, the raid, the ip, Trevor Treasure trove of ai. I mean this cuz this is kind of like bringing two killer apps together. The Ansible configuration automation layer with ai just kind of a, >>Yeah, it's an amazing relationship. I was gonna say marriage, but I don't wanna say marriage cause I may be >>Last. I didn't mean say raid the Treasure Trobe, but the kind of >>Like, oh my God. An amazing relationship where we bring all this expertise around automation, obviously around IP and application infrastructure automation and IBM research, Richie and his team bring this amazing capacity and experience around ai. Bring those two things together and applying AI to automation for our teams is so incredibly fantastic. I just can't contain my enthusiasm about it. And you could feel it in the keynote this morning that Richie was doing the energy in the room and when folks saw that, it's just amazing. >>The geeks are gonna love it for sure. But here I wanna get into the whole evolution. Computers on computers, remember the old days thinking machines was a company generations ago that I think they've sold or went outta business, but self-learning, learning machines, computers, programming, computers was actually on your slide you kind of piece out this next wave of AI and machine learning, starting with expert systems really kind of, I'm almost say static, but like okay programs. Yeah, yeah. And then now with machine learning and that big debate was unsupervised, supervised, which is not really perfect. Deep learning, which now explores some things, but now we're at another wave. Take, take us through the thought there explaining what this transition looks like and why. >>I think we are, as I said, we are really at an inflection point in the journey of ai. And if ai, I think it's fair to say data is the pain of ai without data, AI doesn't exist. But if I were to train AI with what is known as supervised learning or or data that is labeled, you are almost sort of limited because there are only so many people who have that expertise. And interestingly, they all have day jobs. So they're not just gonna sit around and label this for you. Some people may be available, but you know, this is not, again, as I as Tom said, we are really trying to apply it to some very sort of key domains which require subject matter expertise. This is not like labeling cats and dogs that everybody else in the board knows there are, the community's very large, but still the skills to go around are not that many. >>And I truly believe to apply AI to the, to the word of, you know, enterprises information technology automation, you have to have unsupervised learning and that's the only way to skate. Yeah. And these two trends really about, you know, information technology percolating across every enterprise and unsupervised learning, which is learning on this very large amount of data with of course know very large compute with some very powerful algorithms like transformer architectures and others which have been disrupting the, the domain of natural language as well are coming together with what I described as foundation models. Yeah. Which anybody who plays with it, you'll be blown away. That's literally blown away. >>And you call that self supervision at scale, which is kind of the foundation. So I have to ask you, cuz this comes up a lot with cloud, cloud scale, everyone tells horizontally scalable cloud, but vertically specialized applications where domain expertise and data plays. So the better the data, the better the self supervision, better the learning. But if it's horizontally scalable is a lot to learn. So how do you create that data ops where it's where the machines are gonna be peaked to maximize what's addressable, but what's also in the domain too, you gotta have that kind of diversity. Can you share your thoughts on that? >>Absolutely. So in, in the domain of foundation models, there are two main stages I would say. One is what I'll describe as pre-training, which is think of it as the, the machine in this particular case is knowledgeable about the domain of code in general. It knows syntax of Python, Java script know, go see Java and so, so on actually, and, and also Yammel as well, which is obviously one would argue is the domain of information technology. And once you get to that level, it's a, it's almost like having a developer who knows all of this but may not be an expert at Ansible just yet. He or she can be an expert at Ansible but is not there yet. That's what I'll call background knowledge. And also in the, in the case of foundation models, they are very adept at natural language as well. So they can connect natural language to code, but they are not yet expert at the domain of Ansible. >>Now there's something called, the second stage of learning is called fine tuning, which is about this data ops where I take data, which is sort of the SME data in this particular case. And it's curated. So this is not just generic data, you pick off GitHub, you don't know what exists out there. This is the data which is governed, which we know is of high quality as well. And you think of it as you specialize the generic AI with pre-trained AI with that data. And those two stages, including the governance of that data that goes into it results in this sort of really breakthrough technology that we've been calling Project Wisdom for. Our first application is Ansible, but just watch out that area. There are many more to come and, and we are gonna really, I'm really excited about this partnership with Red Hat because across IBM and research, I think where wherever we, if there is one place where we can find excited, open source, open developer community, it is Right. That's, >>Yeah. >>Tom, talk about the, the role of open source and Project Wisdom, the involvement of the community and maybe Richard, any feedback that you've gotten since coming off stage? I'm sure you were mobbed. >>Yeah, so for us this is, it's called Project Wisdom, not Product Wisdom. Right? Sorry. Right. And so, no, you didn't say that but I wanna just emphasize that it is a project and for us that is a key word in the upstream community that this is where we're inviting the community to jump on board with us and bring their expertise. All these people that are here will start to participate. They're excited in it. They'll bring their expertise and experience and that fine tuning of the model will just get better and better. So we're really excited about introducing this now and involving the community because it's super nuts. Everything that Red Hat does is around the community and this is no different. And so we're really excited about Project Wisdom. >>That's interesting. The project piece because if you see in today's world the innovation strategy before where we are now, go back to say 15 years ago it was of standard, it's gotta have standard bodies. You can still innovate and differentiate, but yet with open source and community, it's a blending of research and practitioners. I think that to me is a big story here is that what you guys are demonstrating is the combination of research and practitioners in the project. Yes. So how does this play out? Cuz this is kind of like how things are gonna get done in the cloud cuz Amazon's not gonna just standardize their stack at at higher level services, nor is Azure and they might get some plumbing commonalities below, but for Project Project Wisdom to be successful, they can, it doesn't need to have standards. If I get this right, if I can my on point here, what do you guys think about that? React to that? Yeah, >>So I definitely, I think standardization in terms of what we will call ML ops pipeline for models to be deployed and managed and operated. It's like models, like any other code, there's standardization on DevOps ops pipeline, there's standardization on machine learning pipeline. And these models will be deployed in the cloud because they need to scale. The only way to scale to, you know, thousands of users is through cloud. And there is, there are standard pipelines that we are working and architecting together with the Red Hat community leveraging open source packages. Yeah. Is really to, to help scale out the AI models of wisdom together. And another point I wanted to pick up on just what Tom said, I've been sort of in the area of productizing AI for for long now having experience with Watson as well. The only scenario where I've seen AI being successful is in this scenario where, what I describe as it meets the criteria of flywheel of ai. >>What do I mean by flywheel of ai? It cannot be some research people build a model. It may be wowing, but you roll it out and there's no feedback. Yeah, exactly. Okay. We are duh. So what actually, the only way the more people use these models, the more they give you feedback, the better it gets because it knows what is right and what is not right. It will never be right the first time. Actually, you know, the data it is trained on is a depiction of reality. Yeah. It is not a reality in itself. Yeah. The reality is a constantly moving target and the only way to make AI successful is to close that loop with the community. And that's why I just wanted to reemphasize the point on why community is that important >>Actually. And what's interesting Tom is this is a difference between standards bodies, old school and communities. Because developers are very efficient in their feedback. Yes. They jump to patterns that serve their needs, whether it's self-service or whatever. You can kind of see what's going on. Yeah. It's either working or not. Yeah, yeah, >>Yeah. We get immediate feedback from the community and we know real fast when something isn't working, when something is working, there are no problems with the flow of data between the members of the community and, and the developers themselves. So yeah, it's, I'm it's great. It's gonna be fantastic. The energy around Project Wisdom already. I bet. We're gonna go down to the Project Wisdom session, the breakout session, and I bet you the room will be overflowed. >>How do people get involved real quick? Get, get a take a minute to explain how I would get involved. I'm a community member. Yep. I'm watching this video, I'm intrigued. This has got me enthusiastic. How do I get more confident with this opportunity? >>So you go to, first of all, you go to red hat.com/project Wisdom and you register your interests and you wanna participate. We're gonna start growing this process, bringing people in, getting ready to make the service available to people to start using and to experiment with. Start getting their feedback. So this is the beginning of, of a journey. This isn't the, you know, this isn't the midpoint of a journey, this is the begin. You know, even though the work has been going on for a year, this is the beginning of the community journey now. And so we're gonna start working together through channels like Discord and whatnot to be able to exchange information and bring people in. >>What are some of the key use cases, maybe Richie are starting with you that, that you think maybe dream use cases that you think the community will help to really uncover as we're looking at Project Wisdom really helping in this transformation of ai. >>So if I focus on let's say Ansible itself, there are much wider use cases, but Ansible itself and you know, I, I would say I had not realized, I've been working on AI for Good for long, but I had not realized the excitement and the power of Ansible community itself. It's very large, it's very bottom sum, which I love actually. But as I went to lot of like CTOs and CIOs of lot of our customers as well, it was becoming clear the use cases of, you know, I've got thousand Ansible developers or IT or automation experts. They write code all the time. I don't know what all of this code is about. So the, the system administrators, managers, they're trying to figure out sort of how to organize all of this together and think of it as Google for finding all of these automation code automation content. >>And I'm very excited about not just the use cases that we demonstrated today, that is beginning of the journey, but to be able to help enterprises in finding the right code through natural language interfaces, generating the code, helping Del us debug their code as well. Giving them predictive insights into this may happen. Just watch out for it when you deploy this. Something like that happened before, just watch out for it as well. So I'm, I'm excited about the entire life cycle of IT automation, Not just about at the build time, but also at the time of deployment. At the time of management. This is just a start of a journey, but there are many exciting use cases abound for Ansible and beyond. >>It's gonna be great to watch this as it unfolds. Obviously just announcing this today. We thank you both so much for joining us on the program, talking about Project wisdom and, and sharing how the community can get involved. So you're gonna have to come back next year. We're gonna have to talk about what's going on. Cause I imagine with the excitement of the community and the volume of the community, this is just the tip of the iceberg. Absolutely. >>This is absolutely exactly. You're excited about. >>Excellent. And you should be. Congratulations. Thank, thanks again for joining us. We really appreciate your insights. Thank you. Thank >>You for having >>Us. For our guests and John Furrier, I'm Lisa Barton and you're watching The Cube Lie from Chicago at Ansible Fest 22. This is day two of wall to wall coverage on the cube. Stick around. Our next guest joins us in just a minute.

>>Good morning, everyone from Chicago Live. The Cube is live at Ansible Fast 2022. Lisa Martin and John Ferer are here for two days of multiple coverage on the cube. Very excited to be back in person. Ansible's 10th anniversary, the first in-person event. John, since 2019. Yeah, great to be perfect. One of the nuggets dropped this morning and I know you was Opss code. >>Yeah, we're gonna hear about that OPSIS code here in this segment. We're gonna get in, but the leader of the, the business unit at Ansible, part of Red Hat. So look forward >>To this. Exactly. Tom Anderson joins us, one of our alumni. Welcome back to the program. Thank you. The VP and general manager of Red Hat. First of all, how great is it to be back in person with live guests and an engaged audience and then robust community? >>It is amazing. It really is. I kind of question whether this day was ever gonna come again after three years of being apart, but to see the crowd here and to see, like you said, the energy in the room this morning and the keynotes, it's fantastic. So it's fa I just couldn't be happier. >>So opsis code nugget drop this morning. Yep. We wanna dissect that with you as, as that was mentioned in the keynote this morning. As Ansible is pushing into the cloud and and into the edge, what does OPSIS code mean for end users and how is it gonna help them to use a term that was used a lot in the keynote level up their automation? >>Yeah, so what we see is, look, the day zero, day one provisioning of infrastructure. There's lots of tools, there's lots of ways to do that. Again, it's just the company's ambition and dedication to doing it. The tools are there, they can do that. We see the next big opportunity for automation is in day two operations. And what's happening right now in ops is that you have multiple clouds, you've got multiple data centers and now you've got edge environments. The number of things to manage on a day-to-day basis is only increasing. The complexity is only increasing this idea of a couple years ago where we're gonna do shift everything left onto the developer. It's nice idea, but you still have to operate these environments on a day two basis. So we see this opportunity as opsis code, just like we did infrastructures code, just like we did configuration as code. We see the next frontier as operations code. >>Yeah, and this is really a big trend as you know with cube reporting a lot on the cloud native velocity of the modern application developer these days, they're under, they're, it's a great time to be a software developer because all the open source goodness is happening, but they're going faster. They want self-service, they want it built in secure, They need guardrails, they need, they need faster ops. So that seems to be the pressure point. Is ops as code going to be that solution? Because you have a lot of people talking about multi-cloud, multiple environments, which sounds great on paper, but when you try to execute it, Yeah, there's complexity. So you know, the goal of complexity management has really been one of the key things around ops. How do I keep speed up and how do I reduce the complexities? These are big. How does, how does ops code fit into that? >>Yeah, so look, we, we see Ansible as this common automation back plane, if you will, that goes across all of these environments. It provides a common abstraction layer so that whether you're running on Azure, whether you're a GCP or whether you're AWS or whether you're, you know, a PLC out on a shop industrial edge floor with a plc, each of those things need to be automated. If we can abstract that into a common automation language, then that allows these domain experts to be able to offer their services to developers in a way that promotes the acceleration, if you will, of those developers tasks. And that developer doesn't have to know about the underlying complexities of storage or database or cloud or edge. They can just do their >>Job. You know, Tom, one of the things I observed in Keynote, and it comes across every time I, we have an event and in person it's more amplified. Cause you see it, the loyalty of the customer base. You have great community. It's very not corporate like here. It's very no big flashy news. But there's some news, hard news, It's very community driven. Check the box there. So continuing on the roots, I wanna get your thoughts on how now the modern era we're in, in this world, the purchasing power, again, I mentioned multicloud looks good on paper, which every CX I wanna be multiple clouds. I want choice now. Now you talk to the people running things like, whoa, hold on, boss. Yeah, the bottoms up is big part of the selection process of how people select and buying consume technology with open source, you don't need to like do a full buy. You can use open source and then get Ansible. Yeah. This is gonna be a big part of how the future of buying product is and implementing it. So I think it's gonna be a groundswell, bottoms up market in this new cloud native with O in the ops world. What's your reaction to that? What's your thoughts? >>So here, here's my thoughts. The bulk of the people here are practitioners. They love Ansible, they use Ansible in their day to day job. It's how it helped, makes 'em successful. Almost every executive that I go out and talk to and our customers, they tell me one of their number one pro or their number one problem is attracting you talent and retaining the talent that they have. And so how can they do that? They can give them the tools to do their job, the tools that they actually like. So not a top down, you know, old fashioned systems management. You're gonna use this tool whether you like it or not. But that bottoms up swell of people adopting open source tools like Ansible to do their job and enjoy it. So I see it as a way of the bottoms up addressing the top down initiative of the organization, which is skills retention, skills enhancement. And that's what we focus on here at this event. Are the practitioners, >>Is that the biggest customer conversation topic these days? Is this the skills gap, retention, attraction talent? Would you say it's more expansive as the organizations are so different? >>Well, so a lot of the folks that I meet are, you know, maybe not sea level, but they're executives in the organization, right? So they're struggling with attract, you know, pretty much everywhere I go, I was in Europe this summer, conversation was always the same. We got two problems. Tracking people. We can't find people, people we find we can't afford. So we need to automate what they would do. And, and then the second piece is the complexity of our environment is growing, right? I'm being asked to do more and I can't find more people to do it. What's my solution? It's automation, you know, at the end of the day, that's what it comes down to. >>It's interesting, the people who are gonna be involved in the scaling horizontally with automation are gonna have the keys to the kingdom. The old joke when it was, you know, they run everything. They power the business now the business is digital. You gotta be hybrid. So we see hybrids a steady state right now, hybrid cloud. When you bring the edge into the equation, how do you see that developing? Because we think it's gonna be continually be hybrid and that's gonna extend out on the edge. What is the ansible's view on how the edge evolves? What's, what's going on there? Can you share your thoughts on the expansion to the edge? >>There's a, our experience is there's a rapid modernization happening out at the edge, industrial edge, you know, oil and gas platforms, retail locations, industrial floors, all that kind of stuff. We see this convergence of OT and IT happening right now where some of the disciplines that enterprises have used in the IT area are gonna expand out into ot. But some of the requirements of ot of not having skilled IT resources, you know, in the store, in the fast food restaurant, on the oil platform, needing to have the tools to be able to automate those changes remotely. We're seeing a real acceleration of that right now. And frankly, Ansible's playing a big role in that. And it's connecting a lot of the connective tissue is around network. What is the key piece that connects all of this environment as network and those number of endpoints that need to be managed. Ansible is, you know, >>It's way use case for Ansible because Ansible built their business on configuration automation, which was don't send someone out to that branch office back in the old days. Exactly. Do it. Manual versus automation. Hey, automation every time. Yes. This is at large scale. I mean the scale magnitude, can you scope the scale of what's different? I mean go even go back 10 years, okay, where we were and how we got here, where we are today. Scope the size of the scale that's happening here. >>You know, hundreds of thousands of endpoints and things. That's not even the API points, but that's the kind of compute points, the network points, the servers it's in. It's, it's, you know what we would've never thought, you know, 10 years ago, a thousand endpoints was a lot or 10,000 endpoints was a lot of things to manage when you start talking about network devices. Yeah, yeah. Home network devices for employees that are remote employees that need to be in a secured network. Just the order of magnitude, maybe two orders of magnitude larger than it has been in the past. And so again, coming home to the automation world, >>The world's spun in your front, your front door right now. >>Yeah, yeah, yeah, >>Absolutely. Talk about, you talked about the acceleration. If we think of about the proliferation of, of devices online, especially the last two years, when, to your point, so many people shifted to remote and are still there. What are some of the, the changes in automation that we've seen as businesses have had to pivot and change so frequently and so many times to be successful? >>Yeah, so here's what we've seen, which is it's no longer acceptable for the owner of the network team or the ownership of the database or of the storage facility to, you can't wait for them to offer their service to people. Self-service is now the rule of thumb, right? So how can those infrastructure owners be able to offer their services to non IT people in a way that manages their compliance and makes them feel that they can get those resources without having to come and ask. And they do that by automating with Ansible and then offering those as package services out to their developers, to their QE teams, to their end users, to be able to consume and subscribe to that infrastructure knowing that they are the ones who are controlling how it's being provisioned, how it's being used. >>What are some of the, there were some great customers mentioned this morning in the keynote, but do you have a favorite example of a customer, regardless of industry that you think really shows the value and, and the evolution of the Ansible platform in its first 10 years and that really articulates the business value that automation delivers to a company? >>Yeah, no, it's a great question. I would think that, you know, if you wound the clock back 10 years, Ansible was all about server configuration management, right? That's what it was about was per provisioning, provisioning, you know, VMware infrastructure, vSphere, and then loading on VMs on top of that as it's expanded into network, into security and to storage and to database into cloud. It's become a much broader platform, if you will. And a good example is we have a customer, large oil and gas customer who is modernizing their oil platforms. I can imagine I not, I've not been on one, but I imagine the people that are out working on that oil platforms have greasy hands that are pushing on things. And they had this platform that the technology modernization included Azure. So connecting to data on Azure, rolling out new application updates, has to have a firewall, has to have network capabilities, has to have underlying OS to be able to do that. And Ansible was the glue that brought all that together to be able to modernize that oil platform. And so for me, that's the kind of thing where it sort of makes it real. You know, the actual businesses, >>The common set of services, this is, this is where we're seeing multi-cloud. Yeah. You start to have that conversation where, okay, I got this edge, it kind of looks the same, I gotta make it work. I'm a developer, I want some compute, I want to put this together. I have containers and orchestration behind it and kind of seeing the same kind of pattern. Yeah. Evolving at scale. So you guys have the platform, okay, I'm an open source. I love the open source. I got the platform 2.3, I see supply chain management in there. You got trusted signatures. That's a supply chain. We've been hearing a lot about security in the code. What else is in the platform that's updated? Can you share the, the, the new things that people should pay attention to in the platform? >>Yeah, we're gonna talk about a couple of things smaller around event driven Ansible, which is bringing Ansible into that really day two ops world where it's sort of hands free automation and, and, and operations where rather than someone pushing a button to trigger or initiate a piece of, of automation, an event will take place. I've detected an outta space condition, I've detected a security violation, I've detected something. Go to a rule book. That rule book will kick off in automation close that remediate that problem and close the thing without anyone ever having to do anything with that. So that's kind of one big area. And we're gonna talk tomorrow. We've got a real special announcement tomorrow with our friends from IBM research that I'm gonna, >>We'll have you on 10 30 Martha Calendars. >>But there's some really great stuff going on on the platform as we start to expand these use cases in multiple directions and how we take Ansible out to more and more people, automation out to more and more people from the inside, experts out to the consumers of automation, make it easier to create automation. >>Yeah. And one of the things I wanted to follow up on that and the skill gap, tying that together is you seeing heard in the keynote today around Stephanie was talking about enterprise architecture. It's not, I won't say corner case answer. I mean it's not one niche or narrow focus. Expanding the scope was mentioned by Katie, expand your scope grow, you got a lot of openings. People are hire now, Now Ansible is part of the enterprise architecture. It's not just one thing, it's, it's a complete, Explain what that means for the folks out there. Yeah. >>So when you start to connect what I call the technology domains, so the network team uses Ansible to automate their network infrastructure and configure all their systems. And the compute team uses it to deploy new servers on aws. And the security ops team use it to go out and gather facts when they have a threat detection happening and the storage team is using it to provision storage. When you start to then say, Okay, we have all these different domains and we want to connect those together into a set of workflows that goes across all of those domains. You have this common language and we're saying, okay, so it's not just the language, it's also the underlying platform that has to be scalable. It's gotta be secure. We talked about signing content. I mean, people don't understand the risk of an automation gone wild. You can, you can do a lot of damage to your infrastructure real fast with automation, just like you can do repair, right? So is what's running in my environment secure? Is it performant and is it scalable? I mean, those are the two, those are the three areas that we're really looking at with the platform right >>Now. Automation gone wild, it sounds like the next reality TV show. Yeah, I >>May, I may regret saying that. >>Sounds >>Like great. Especially on live tv. Great, >>Great podcast title right there. I made a mental note. Automation Gone Wild episode one. Here we are >>Talk about Ansible as is really being the, the catalyst to allow organizations to truly democratize automation. Okay. You, you talked about the different domains there and it seems to me like it's, it's positioned to really be the catalyst that's the driver of that democratization, which is where a lot of people wanna get to. >>Yeah. I mean for us, and you'll see in our sessions at Ansible Fest, we talk a lot about the culture, the culture of automation, right? And saying, okay, how do you include more and more people in your organization in this process? How can you get them to participate? So we talk about these ideas of communities of practice. So we bring the open source, the concepts of open source communities down into enterprises to build their own internal communities of practice around Ansible, where they're sharing best practices, skills, reusable content. That is one of the kind of key factors that we see as a success in inside organizations is the scales, is sort of bringing everybody into that culture of automation and not being afraid of automation saying, Look, it's not gonna take my job, it's gonna help me do my job better. >>Exactly. That automation argument always went, went to me crazy. Oh yeah, automating is gonna take my job away. You know, bank teller example, there's more bank tellers now than ever before. More atm. So the, the job shifts, I mean the value shifts. Yeah. This is kind of where the, where the automation helps. What's real quick, final minute we have left. Where does that value shift? I'm the person being automated away or job. Yeah. Where do you see the value job? Cause it's still tons of openings for people's skills, >>You know? So we see the shift from, particularly in operations from, here's my job, I look at a ticket queue, I grab a ticket, it's got a problem, I go look at a log, I look for a string and a log, I find out the air and I go, configuration change that. That's not a really, I wouldn't call that a fund existence for eight or 10 hours a day, but the idea, if I can use automation to do that for me and then focus on innovating, creating new capabilities in my environment, then you start to attract a new, you know, the next generation of operations people into a much more exciting role. >>Yeah. Architects too, they turned into architects that turned into the multiple jobs scope. It's like multi-tool player. It's like >>A, you know, Yeah, yeah. The five tool player, >>Five tool player in baseball is the best of the best. But, but kind of that's what's >>Happening. That's exactly what's happening, right? That's exactly what's happening. And it helps address that skills challenge. Yeah. And the talent challenge that organizations have as well. >>And everybody wants to be able to focus on delivering value to the organization. I have to get the end of the day. That's a human component that we all want. So it sounds like Ansible is well on its way to helping more and more organizations across industries achieve just that. Tom, it's great to have you back on the program. Sounds like you're coming back tomorrow, so we get day two of Tom. All right, excellent. Look forward to it. Congratulations on the first in-person event in three years and we look forward to talking to you >>Tomorrow. Thank you so much. >>All right, for our guests and John Furrier, I'm Lisa Martin. You're watching The Cube Live from Chicago, Day one of our coverage of Ansible Fest 2022. Stick around. John and I welcome back another Cube alumni next.

(upbeat music) >> Okay, welcome back everyone. CUBE's coverage here in Boston, Massachusetts, AWS re:inforce 22, security conference. It's AWS' big security conference. Of course, theCUBE's here, all the reinvent, reese, remars, reinforced. We cover 'em all now and the summits. I'm John Furrier, my host Dave Vellante. We have IDC weighing in here with their analysts. We've got some great guests here, Jay Bretzmann research VP at IDC and Philip Bues research manager for Cloud security. Gentlemen, thanks for coming on. >> Thank you. >> Appreciate it. Great to be here. >> Appreciate coming. >> Got a full circle, right? (all laughing) Security's more interesting than storage, isn't it? (all laughing) >> Dave and Jay worked together. This is a great segment. I'm psyched that you guys are here. We had Crawford and Matt Eastwood on at HPE Discover a while back and really the data you guys are getting and the insights are fantastic. So congratulations to IDC. You guys doing great work. We appreciate your time. I want to get your reaction to the event and the keynotes. AWS has got some posture and they're very aggressive on some tones. Some things that we didn't hear. What's your reaction to the keynote? Share your assessment. >> So, you know, I manage two different research services at IDC right now. They are both Cloud security and identity and digital security, right? And what was really interesting is the intersection between the two this morning, because every one of those speakers that came on had something to say about identity or least privileged access, or enable MFA, or make sure that you control who gets access to what and deny explicitly. And it's always been a challenge a little bit in the identity world because a lot of people don't use MFA. And in RSA, that was another big theme at the RSA conference, MFA everywhere. Why don't they use it? Because it introduces friction and all of a sudden people can't get their jobs done. And the whole point of a network is letting people on to get that data they want to get to. So that was kind of interesting, but as we have in the industry, this shared responsibility model for Cloud computing, we've got shared responsibility for between Philip and I. (Philip laughing) I have done in the past more security of the Cloud and Philip is more security in the Cloud. >> So yeah. >> And now with Cloud operation Super Cloud, as we call it, you have on premises, private Cloud coming back, or hasn't really gone anywhere, all that on premises, Cloud operations, public Cloud, and now edge exploding with new requirements. It's really an ops challenge right now. Not so much dev. So the sec and op side is hot right now. >> Yeah, well, we've made this move from monolithic to microservices based applications. And so during the keynote this morning, the announcement around the GuardDuty Malware Protection component, and that being built into the pricing of current GuardDuty, I thought was really key. And there was also a lot of talk about partnering in security certifications, which is also so very important. So we're seeing this move towards filling in that talent gap, which I think we're all aware of in the security industry. >> So Jake, square the circle for me. So Kirk Coofell talked about Amazon AWS identity, where does AWS leave off, and companies like Okta or Ping identity or Cybertruck pickup, how are they working together? Does it just create more confusion and more tools for customers? We know the overused word of seamless. >> Yeah, yeah. >> It's never seamless, so how should we think about that? >> So, identity has been around for 35 years or something like that. Started with the mainframes and all that. And if you understand the history of it, you make more sense to the current market. You have to know where people came from and the baggage they're carrying, 'cause they're still carrying a lot of that baggage. Now, when it comes to the Cloud Service providers, they're more an accommodation from the identity standpoint. Let's make it easy inside of AWS to let you single sign on to anything in the Cloud that they have, right? Let's also introduce an additional MFA capability to keep people safer whenever we can and provide people with tools, to get into those applications somewhat easily, while leveraging identities that may live somewhere else. So there's a whole lot of the world that is still active, directory-centric, right? There's another portion of companies that were born in the Cloud that were able to jump on things like Okta and some of the other providers of these universal identities in the Cloud. So, like I said, if you understand where people came from in the beginning, you start to say, "Yeah, this makes sense." >> It's interesting you talk about mainframe. I always think about Rack F, you know. And I say, "Okay, who did what, when, where?" And you hear about a lot of those themes. So what's the best practice for MFA, that's non-SMS-based? Is it you got to wear something around your neck, is it to have sort of a third party authenticator? What are people doing that you guys would recommend? >> Yeah, one quick comment about adoption of MFA. If you ask different suppliers, what percent of your base that does SSO also does MFA, one of the biggest suppliers out there, Microsoft will tell you it's under 25%. That's pretty shocking. All the messaging that's come out about it. So another big player in the market was called Duo, Cisco bought them. >> Yep. >> And because they provide networks, a lot of people buy their MFA. They have probably the most prevalent type of MFA, it's called Push. And Push can be a red X and a green check mark to your phone, it can be a QR code, somewhere, it can be an email push as well. So that is the next easiest thing to adopt after SMS. And as you know, SMS has been denigrated by NIST and others saying, it's susceptible to man and middle attacks. It's built on a telephony protocol called SS7. Predates anything, there's no certification either side. The other real dynamic and identity is the whole adoption of PKI infrastructure. As you know, certificates are used for all kinds of things, network sessions, data encryption, well, identity increasingly. And a lot of the consumers and especially the work from anywhere, people these days have access through smart devices. And what you can do there, is you can have an agent on that smart device, generate your private key and then push out a public key and so the private key never leaves your device. That's one of the most secure ways to- >> So if our SIM card gets hacked, you're not going to be as vulnerable? >> Yeah, well, the SIM card is another challenge associated with the older ways, but yeah. >> So what do you guys think about the open source connection and they mentioned it up top. Don't bolt on security, implying shift left, which is embedding it in like sneak companies, like sneak do that. Very container oriented, a lot of Kubernetes kind of Cloud native services. So I want to get your reaction to that. And then also this reasoning angle they brought up. Kind of a higher level AI reasoning decisions. So open source, and this notion of AI reasoning. or AI reason. >> And you see more open source discussion happening, so you have your building maintaining and vetting of the upstream open source code, which is critical. And so I think AWS talking about that today, they're certainly hitting on a nerve, as you know, open source continues to proliferate. Around the automated reasoning, I think that makes sense. You want to provide guide rails and you want to provide roadmaps and you want to have sort of that guidance as to, okay, what's a correlation analysis of different tools and products? And so I think that's going to go over really well, yeah. >> One of the other key points about open source is, everybody's in a multi-cloud world, right? >> Yeah. >> And so they're worried about vendor lock in. They want an open source code base, so that they don't experience that. >> Yeah, and they can move the code around, and make sure it works well on each system. Dave and I were just talking about some of the dynamics around data control planes. So they mentioned encrypt everything which is great and I message by the way, I love that one. But oh, and he mentioned data at rest. I'm like, "What about data in flight? "Didn't hear that one." So one of the things we're seeing with SuperCloud, and now multi-cloud kind of as destinations of that, is that in digital transformation, customers are leaning into owning their data flows. >> Yeah. >> Independent of say the control plane aspects of what could come in. This is huge implications for security, where sharing data is huge, even Schmidt on stage said, we have billions and billions of things happening that we see things that no one else sees. So that implies, they're sharing- >> Quad trillion. >> Trillion, 15 zeros. (Jay laughs) >> 15 zeros. >> So that implies they're sharing that or using that pushing that into something. So sharing is huge with cyber security. So that implies open data, data flows. How do you guys see this evolving? I know it's kind of emerging, but it's becoming a nuanced point, that's critical to the architecture. >> Well, yeah, I think another way to look at that is the sharing of intelligence and some of the recent directives, from the executive branch, making it easier for private companies to share data and intelligence, which I think strengthens the cyber community overall. >> Depending upon the supplier, it's either an aggregate level of intelligence that has been anonymized or it's specific intelligence for your environment that everybody's got a threat feed, maybe two or three, right? (John laughs) But back to the encryption point, I mean, I was working for an encryption startup for a little while after I left IBM, and the thing is that people are scared of it. They're scared of key management and rotation. And so when you provide- >> Because they might lose the key. >> Exactly. >> Yeah. >> It's like shooting yourself in the foot, right? So that's when you have things like, KMS services from Amazon and stuff that really help out a lot. And help people understand, okay, I'm not alone in this. >> Yeah, crypto owners- >> They call that hybrid, the hybrid key, they don't know how they call the data, they call it the hybrid. What was that? >> Key management service? >> The hybrid- >> Oh, hybrid HSM, correct? >> Yeah, what is that? What is that? I didn't get that. I didn't understand what he meant by the hybrid post quantum key agreement. >> Hybrid post quantum key exchange. >> AWS never made a product name that didn't have four words in it. (John laughs) >> But he did reference the new NIST algos. And I think I inferred that they were quantum proof or they claim to be, and AWS was testing those. >> Correct, yeah. >> So that was kind of interesting, but I want to come back to identity for a second. So, this idea of bringing traditional IAM and Privileged Access Management together, is that a pipe dream, is that something that is actually going to happen? What's the timeframe, what's your take on that? >> So, there are aspects of privilege in every sort of identity. Back when it was only the back office that used computers for calculations, right? Then you were able to control how many people had access. There were two types of users, admins and users. These days, everybody has some aspect of- >> It's a real spectrum, really. >> Yeah. >> Granular. >> You got the C-suite, the finance people, the DevOps people, even partners and whatever. They all need some sort of privileged access, and the term you hear so much is least-privileged access, right? Shut it down, control it. So, in some of my research, I've been saying that vendors who are in the PAM space, Privilege Access Management space, will probably be growing their suites, playing a bigger role, building out a stack, because they have the expertise and the perspective that says, "We should control this better." How do we do that, right? And we've been seeing that recently. >> Is that a combination of old kind of antiquated systems meets for proprietary hyper scale, or kind of like build your own? 'Cause I mean, Amazon, these guys, Facebook, they all build their own stuff. >> Yes, they do. >> Then enterprises buy services from general purpose identity management systems. >> So as we were talking about knowing the past and whatever, Privileged Access Management used to be about compliance reporting. Just making sure that I knew who accessed what? And could prove it, so I didn't fail at all. >> It wasn't a critical infrastructure item. >> No, and now these days, what it's transitioning into, is much more risk management, okay. I know what our risk is, I'm ahead of it. And the other thing in the PAM space, was really session monitor. Everybody wanted to watch every keystroke, every screen's scrape, all that kind of stuff. A lot of the new Privileged Access Management, doesn't really require that. It's a nice to have feature. You kind of need it on the list, but is anybody really going to implement it? That's the question, right. And then if you do all that session monitoring, does anybody ever go back and look at it? There's only so many hours in the day. >> How about passwordless access? (Jay laughs) I've heard people talk about that. I mean, that's as a user, I can't wait but- >> Well, it's somewhere we want to all go. We all want identity security to just disappear and be recognized when we log in. So the thing with passwordless is, there's always a password somewhere. And it's usually part of a registration action. I'm going to register my device with a username password, and then beyond that I can use my biometrics, right? I want to register my device and get a private key, that I can put in my enclave, and I'll use that in the future. Maybe it's got to touch ID, maybe it doesn't, right? So even though there's been a lot of progress made, it's not quote, unquote, truly passwordless. There's a group, industry standards group called Fido. Which is Fast Identity Online. And what they realized was, these whole registration passwords, that's really a single point of failure. 'Cause if I can't recover my device, I'm in trouble. So they just did new extension to sort of what they were doing, which provides you with much more of like an iCloud vault that you can register that device in and other devices associated with that same identity. >> Get you to it if you have to. >> Exactly. >> I'm all over the place here, but I want to ask about ransomware. It may not be your wheelhouse. But back in the day, Jay, remember you used to cover tape. All the backup guys now are talking about ransomware. AWS mentioned it today and they showed a bunch of best practices and things you can do. Air gaps wasn't one of them. I was really surprised 'cause that's all every anybody ever talks about is air gaps and a lot of times that air gap could be a guess to the Cloud, I guess, I'm not sure. What are you guys seeing on ransomware apps? >> We've done a lot of great research around ransomware as a service and ransomware, and we just had some data come out recently, that I think in terms of spending and spend, and as a result of the Ukraine-Russia war, that ransomware assessments rate number one. And so it's something that we encourage, when we talk to vendors and in our services, in our publications that we write about taking advantage of those free strategic ransomware assessments, vulnerability assessments, as well and then security and training ranked very highly as well. So, we want to make sure that all of these areas are being funded well to try and stay ahead of the curve. >> Yeah, I was surprised to not see air gaps on the list, that's all everybody talks about. >> Well, the old model for air gaping in the land days, the novel days, you took your tapes home and put them in the sock drawer. (all laughing) >> Well, it's a form of air gap. (all laughing) >> Security and no one's going to go there and clean out. >> And then the internet came around and ruined it. >> Guys, final question we want to ask you, guys, we kind of zoom out, great commentary by the way. Appreciate it. We've seen this in many markets, a collection of tools emerge and then there's its tool sprawl. So cyber we're seeing the trend now where mon goes up on stage of all the ecosystems, probably other vendors doing the same thing where they're organizing a platform on top of AWS to be this super platform, for super Cloud capability by building a more platform thing. So we're saying there's a platform war going on, 'cause customers don't want the complexity. I got a tool but it's actually making it more complex if I buy the other tool. So the tool sprawl becomes a problem. How do you guys see this? Do you guys see this platform emerging? I mean tools won't go away, but they have to be easier. >> Yeah, we do see a consolidation of functionality and services. And we've been seeing that, I think through a 2020 Cloud security survey that we released that was definitely a trend. And that certainly happened for many companies over the last six to 24 months, I would say. And then platformization absolutely is something we talk and write about all the time so... >> Couple of years ago, I called the Amazon tool set an erector set because it really required assembly. And you see the emphasis on training here too, right? You definitely need to go to AWS University to be competent. >> It wasn't Lego blocks yet. >> No. >> It was erector set. >> Yeah. >> Very good distinction. >> Loose. >> And you lose a few. (chuckles) >> But still too many tools, right? You see, we need more consolidation. It's getting interesting because a lot of these companies have runway and you look at sale point at stock prices held up 'cause of the Thoma Bravo acquisition, but all the rest of the cyber stocks have been crushed especially the high flyers, like a Sentinel-1 one or a CrowdStrike, but just still M and A opportunity. >> So platform wars. Okay, final thoughts. What do you, think is happening next? What's your outlook for the next year or so? >> So, in the identity space, I'll talk about, Philip can cover Cloud for us. It really is more consolidation and more adoption of things that are beyond simple SSO. It was, just getting on the systems and now we really need to control what you're able to get to and who you are. And do it as transparently as we possibly can, because otherwise, people are going to lose productivity. They're not going to be able to get to what they want. And that's what causes the C-suite to say, "Wait a minute," DevOps, they want to update the product every day. Make it better. Can they do that or did security get in the way? People, every once in a while call security, the Department of No, right? >> They ditch it on stage. They want to be the Department of Yes. >> Exactly. >> Yeah. >> And the department that creates additional value. If you look at what's going on with B2C or CIAM, consumer oriented identity, that is all about opening up new direct channels and treating people like their old friends, not like you don't know them, you have to challenge them. >> We always say, you want to be in the boat together, it sinks or not. >> Yeah. Exactly. >> Philip I'm glad- >> Okay, what's your take? What's your outlook for the year? >> Yeah, I think, something that we've been seeing as consolidation and integration, and so companies looking at from built time to run time, investing in shift left infrastructure is code. And then also in the runtime detection, makes perfect sense to have both the agent and agent lists so that you're covering any of the gaps that might exist. >> Awesome, Jay Phillip, thanks for coming on "theCUBE" with IDC and sharing your- >> Oh, our pleasure- >> Perspective, commentary and insights and outlook. Appreciate it. >> You bet. >> Thank you. >> Okay, we've got the great direction here from IDC analyst here on the queue. I'm John Furrier, Dave Vellante. Be back more after this short break. (bright upbeat music)

>>from around the globe. It's the Cube covering >>space and cybersecurity. Symposium 2020 hosted by Cal Poly >>Over On Welcome to this Special virtual conference. The Space and Cybersecurity Symposium 2020 put on by Cal Poly with support from the Cube. I'm John for your host and master of ceremonies. Got a great topic today in this session. Really? The intersection of space and cybersecurity. This topic and this conversation is the cybersecurity workforce development through public and private partnerships. And we've got a great lineup. We have Jeff Armstrong's the president of California Polytechnic State University, also known as Cal Poly Jeffrey. Thanks for jumping on and Bang. Go ahead. The second director of C four s R Division. And he's joining us from the office of the Under Secretary of Defense for the acquisition Sustainment Department of Defense, D O D. And, of course, Steve Jake's executive director, founder, National Security Space Association and managing partner at Bello's. Gentlemen, thank you for joining me for this session. We got an hour conversation. Thanks for coming on. >>Thank you. >>So we got a virtual event here. We've got an hour, have a great conversation and love for you guys do? In opening statement on how you see the development through public and private partnerships around cybersecurity in space, Jeff will start with you. >>Well, thanks very much, John. It's great to be on with all of you. Uh, on behalf Cal Poly Welcome, everyone. Educating the workforce of tomorrow is our mission to Cal Poly. Whether that means traditional undergraduates, master students are increasingly mid career professionals looking toe up, skill or re skill. Our signature pedagogy is learn by doing, which means that our graduates arrive at employers ready Day one with practical skills and experience. We have long thought of ourselves is lucky to be on California's beautiful central Coast. But in recent years, as we have developed closer relationships with Vandenberg Air Force Base, hopefully the future permanent headquarters of the United States Space Command with Vandenberg and other regional partners, we have discovered that our location is even more advantages than we thought. We're just 50 miles away from Vandenberg, a little closer than u C. Santa Barbara, and the base represents the southern border of what we have come to think of as the central coast region. Cal Poly and Vandenberg Air force base have partner to support regional economic development to encourage the development of a commercial spaceport toe advocate for the space Command headquarters coming to Vandenberg and other ventures. These partnerships have been possible because because both parties stand to benefit Vandenberg by securing new streams of revenue, workforce and local supply chain and Cal Poly by helping to grow local jobs for graduates, internship opportunities for students, and research and entrepreneurship opportunities for faculty and staff. Crucially, what's good for Vandenberg Air Force Base and for Cal Poly is also good for the Central Coast and the US, creating new head of household jobs, infrastructure and opportunity. Our goal is that these new jobs bring more diversity and sustainability for the region. This regional economic development has taken on a life of its own, spawning a new nonprofit called Reach, which coordinates development efforts from Vandenberg Air Force Base in the South to camp to Camp Roberts in the North. Another factor that is facilitated our relationship with Vandenberg Air Force Base is that we have some of the same friends. For example, Northrop Grumman has has long been an important defense contractor, an important partner to Cal poly funding scholarships and facilities that have allowed us to stay current with technology in it to attract highly qualified students for whom Cal Poly's costs would otherwise be prohibitive. For almost 20 years north of grimness funded scholarships for Cal Poly students this year, their funding 64 scholarships, some directly in our College of Engineering and most through our Cal Poly Scholars program, Cal Poly Scholars, a support both incoming freshman is transfer students. These air especially important because it allows us to provide additional support and opportunities to a group of students who are mostly first generation, low income and underrepresented and who otherwise might not choose to attend Cal Poly. They also allow us to recruit from partner high schools with large populations of underrepresented minority students, including the Fortune High School in Elk Grove, which we developed a deep and lasting connection. We know that the best work is done by balanced teams that include multiple and diverse perspectives. These scholarships help us achieve that goal, and I'm sure you know Northrop Grumman was recently awarded a very large contract to modernized the U. S. I. C B M Armory with some of the work being done at Vandenberg Air Force Base, thus supporting the local economy and protecting protecting our efforts in space requires partnerships in the digital realm. How Polly is partnered with many private companies, such as AWS. Our partnerships with Amazon Web services has enabled us to train our students with next generation cloud engineering skills, in part through our jointly created digital transformation hub. Another partnership example is among Cal Poly's California Cybersecurity Institute, College of Engineering and the California National Guard. This partnership is focused on preparing a cyber ready workforce by providing faculty and students with a hands on research and learning environment, side by side with military, law enforcement professionals and cyber experts. We also have a long standing partnership with PG and E, most recently focused on workforce development and redevelopment. Many of our graduates do indeed go on to careers in aerospace and defense industry as a rough approximation. More than 4500 Cal Poly graduates list aerospace and defense as their employment sector on linked in, and it's not just our engineers and computer sciences. When I was speaking to our fellow Panelists not too long ago, >>are >>speaking to bang, we learned that Rachel sins, one of our liberal arts arts majors, is working in his office. So shout out to you, Rachel. And then finally, of course, some of our graduates sword extraordinary heights such as Commander Victor Glover, who will be heading to the International space station later this year as I close. All of which is to say that we're deeply committed the workforce, development and redevelopment that we understand the value of public private partnerships and that were eager to find new ways in which to benefit everyone from this further cooperation. So we're committed to the region, the state in the nation and our past efforts in space, cybersecurity and links to our partners at as I indicated, aerospace industry and governmental partners provides a unique position for us to move forward in the interface of space and cybersecurity. Thank you so much, John. >>President, I'm sure thank you very much for the comments and congratulations to Cal Poly for being on the forefront of innovation and really taking a unique progressive. You and wanna tip your hat to you guys over there. Thank you very much for those comments. Appreciate it. Bahng. Department of Defense. Exciting you gotta defend the nation spaces Global. Your opening statement. >>Yes, sir. Thanks, John. Appreciate that day. Thank you, everybody. I'm honored to be this panel along with President Armstrong, Cal Poly in my long longtime friend and colleague Steve Jakes of the National Security Space Association, to discuss a very important topic of cybersecurity workforce development, as President Armstrong alluded to, I'll tell you both of these organizations, Cal Poly and the N S. A have done and continue to do an exceptional job at finding talent, recruiting them in training current and future leaders and technical professionals that we vitally need for our nation's growing space programs. A swell Asare collective National security Earlier today, during Session three high, along with my colleague Chris Hansen discussed space, cyber Security and how the space domain is changing the landscape of future conflicts. I discussed the rapid emergence of commercial space with the proliferations of hundreds, if not thousands, of satellites providing a variety of services, including communications allowing for global Internet connectivity. S one example within the O. D. We continue to look at how we can leverage this opportunity. I'll tell you one of the enabling technologies eyes the use of small satellites, which are inherently cheaper and perhaps more flexible than the traditional bigger systems that we have historically used unemployed for the U. D. Certainly not lost on Me is the fact that Cal Poly Pioneer Cube SATs 2020 some years ago, and they set the standard for the use of these systems today. So they saw the valiant benefit gained way ahead of everybody else, it seems, and Cal Poly's focus on training and education is commendable. I especially impressed by the efforts of another of Steve's I colleague, current CEO Mr Bill Britain, with his high energy push to attract the next generation of innovators. Uh, earlier this year, I had planned on participating in this year's Cyber Innovation Challenge. In June works Cal Poly host California Mill and high school students and challenge them with situations to test their cyber knowledge. I tell you, I wish I had that kind of opportunity when I was a kid. Unfortunately, the pandemic change the plan. Why I truly look forward. Thio feature events such as these Thio participating. Now I want to recognize my good friend Steve Jakes, whom I've known for perhaps too long of a time here over two decades or so, who was in acknowledge space expert and personally, I truly applaud him for having the foresight of years back to form the National Security Space Association to help the entire space enterprise navigate through not only technology but Polly policy issues and challenges and paved the way for operational izing space. Space is our newest horrifying domain. That's not a secret anymore. Uh, and while it is a unique area, it shares a lot of common traits with the other domains such as land, air and sea, obviously all of strategically important to the defense of the United States. In conflict they will need to be. They will all be contested and therefore they all need to be defended. One domain alone will not win future conflicts in a joint operation. We must succeed. All to defending space is critical as critical is defending our other operational domains. Funny space is no longer the sanctuary available only to the government. Increasingly, as I discussed in the previous session, commercial space is taking the lead a lot of different areas, including R and D, A so called new space, so cyber security threat is even more demanding and even more challenging. Three US considers and federal access to and freedom to operate in space vital to advancing security, economic prosperity, prosperity and scientific knowledge of the country. That's making cyberspace an inseparable component. America's financial, social government and political life. We stood up US Space force ah, year ago or so as the newest military service is like the other services. Its mission is to organize, train and equip space forces in order to protect us and allied interest in space and to provide space capabilities to the joint force. Imagine combining that US space force with the U. S. Cyber Command to unify the direction of space and cyberspace operation strengthened U D capabilities and integrate and bolster d o d cyber experience. Now, of course, to enable all of this requires had trained and professional cadre of cyber security experts, combining a good mix of policy as well as high technical skill set much like we're seeing in stem, we need to attract more people to this growing field. Now the D. O. D. Is recognized the importance of the cybersecurity workforce, and we have implemented policies to encourage his growth Back in 2013 the deputy secretary of defense signed the D. O d cyberspace workforce strategy to create a comprehensive, well equipped cyber security team to respond to national security concerns. Now this strategy also created a program that encourages collaboration between the D. O. D and private sector employees. We call this the Cyber Information Technology Exchange program or site up. It's an exchange programs, which is very interesting, in which a private sector employees can naturally work for the D. O. D. In a cyber security position that spans across multiple mission critical areas are important to the d. O. D. A key responsibility of cybersecurity community is military leaders on the related threats and cyber security actions we need to have to defeat these threats. We talk about rapid that position, agile business processes and practices to speed up innovation. Likewise, cybersecurity must keep up with this challenge to cyber security. Needs to be right there with the challenges and changes, and this requires exceptional personnel. We need to attract talent investing the people now to grow a robust cybersecurity, workforce, streets, future. I look forward to the panel discussion, John. Thank you. >>Thank you so much bomb for those comments and you know, new challenges and new opportunities and new possibilities and free freedom Operating space. Critical. Thank you for those comments. Looking forward. Toa chatting further. Steve Jakes, executive director of N. S. S. A Europe opening statement. >>Thank you, John. And echoing bangs thanks to Cal Poly for pulling these this important event together and frankly, for allowing the National Security Space Association be a part of it. Likewise, we on behalf the association delighted and honored Thio be on this panel with President Armstrong along with my friend and colleague Bonneau Glue Mahad Something for you all to know about Bomb. He spent the 1st 20 years of his career in the Air Force doing space programs. He then went into industry for several years and then came back into government to serve. Very few people do that. So bang on behalf of the space community, we thank you for your long life long devotion to service to our nation. We really appreciate that and I also echo a bang shot out to that guy Bill Britain, who has been a long time co conspirator of ours for a long time and you're doing great work there in the cyber program at Cal Poly Bill, keep it up. But professor arms trying to keep a close eye on him. Uh, I would like to offer a little extra context to the great comments made by by President Armstrong and bahng. Uh, in our view, the timing of this conference really could not be any better. Um, we all recently reflected again on that tragic 9 11 surprise attack on our homeland. And it's an appropriate time, we think, to take pause while the percentage of you in the audience here weren't even born or babies then For the most of us, it still feels like yesterday. And moreover, a tragedy like 9 11 has taught us a lot to include to be more vigilant, always keep our collective eyes and ears open to include those quote eyes and ears from space, making sure nothing like this ever happens again. So this conference is a key aspect. Protecting our nation requires we work in a cybersecurity environment at all times. But, you know, the fascinating thing about space systems is we can't see him. No, sir, We see Space launches man there's nothing more invigorating than that. But after launch, they become invisible. So what are they really doing up there? What are they doing to enable our quality of life in the United States and in the world? Well, to illustrate, I'd like to paraphrase elements of an article in Forbes magazine by Bonds and my good friend Chuck Beans. Chuck. It's a space guy, actually had Bonds job a fuse in the Pentagon. He is now chairman and chief strategy officer at York Space Systems, and in his spare time he's chairman of the small satellites. Chuck speaks in words that everyone can understand. So I'd like to give you some of his words out of his article. Uh, they're afraid somewhat. So these are Chuck's words. Let's talk about average Joe and playing Jane. Before heading to the airport for a business trip to New York City, Joe checks the weather forecast informed by Noah's weather satellites to see what pack for the trip. He then calls an uber that space app. Everybody uses it matches riders with drivers via GPS to take into the airport, So Joe has lunch of the airport. Unbeknownst to him, his organic lunch is made with the help of precision farming made possible through optimized irrigation and fertilization, with remote spectral sensing coming from space and GPS on the plane, the pilot navigates around weather, aided by GPS and nose weather satellites. And Joe makes his meeting on time to join his New York colleagues in a video call with a key customer in Singapore made possible by telecommunication satellites. Around to his next meeting, Joe receives notice changing the location of the meeting to another to the other side of town. So he calmly tells Syria to adjust the destination, and his satellite guided Google maps redirects him to the new location. That evening, Joe watches the news broadcast via satellite. The report details a meeting among world leaders discussing the developing crisis in Syria. As it turns out, various forms of quote remotely sensed. Information collected from satellites indicate that yet another band, chemical weapon, may have been used on its own people. Before going to bed, Joe decides to call his parents and congratulate them for their wedding anniversary as they cruise across the Atlantic, made possible again by communications satellites and Joe's parents can enjoy the call without even wondering how it happened the next morning. Back home, Joe's wife, Jane, is involved in a car accident. Her vehicle skids off the road. She's knocked unconscious, but because of her satellite equipped on star system, the crash is detected immediately and first responders show up on the scene. In time, Joe receives the news books. An early trip home sends flowers to his wife as he orders another uber to the airport. Over that 24 hours, Joe and Jane used space system applications for nearly every part of their day. Imagine the consequences if at any point they were somehow denied these services, whether they be by natural causes or a foreign hostility. And each of these satellite applications used in this case were initially developed for military purposes and continue to be, but also have remarkable application on our way of life. Just many people just don't know that. So, ladies and gentlemen, now you know, thanks to chuck beans, well, the United States has a proud heritage being the world's leading space faring nation, dating back to the Eisenhower and Kennedy years. Today we have mature and robust systems operating from space, providing overhead reconnaissance to quote, wash and listen, provide missile warning, communications, positioning, navigation and timing from our GPS system. Much of what you heard in Lieutenant General J. T. Thompson earlier speech. These systems are not only integral to our national security, but also our also to our quality of life is Chuck told us. We simply no longer could live without these systems as a nation and for that matter, as a world. But over the years, adversary like adversaries like China, Russia and other countries have come to realize the value of space systems and are aggressively playing ketchup while also pursuing capabilities that will challenge our systems. As many of you know, in 2000 and seven, China demonstrated it's a set system by actually shooting down is one of its own satellites and has been aggressively developing counter space systems to disrupt hours. So in a heavily congested space environment, our systems are now being contested like never before and will continue to bay well as Bond mentioned, the United States has responded to these changing threats. In addition to adding ways to protect our system, the administration and in Congress recently created the United States Space Force and the operational you United States Space Command, the latter of which you heard President Armstrong and other Californians hope is going to be located. Vandenberg Air Force Base Combined with our intelligence community today, we have focused military and civilian leadership now in space. And that's a very, very good thing. Commence, really. On the industry side, we did create the National Security Space Association devoted solely to supporting the national security Space Enterprise. We're based here in the D C area, but we have arms and legs across the country, and we are loaded with extraordinary talent. In scores of Forman, former government executives, So S s a is joined at the hip with our government customers to serve and to support. We're busy with a multitude of activities underway ranging from a number of thought provoking policy. Papers are recurring space time Webcast supporting Congress's Space Power Caucus and other main serious efforts. Check us out at NSS. A space dot org's One of our strategic priorities in central to today's events is to actively promote and nurture the workforce development. Just like cow calling. We will work with our U. S. Government customers, industry leaders and academia to attract and recruit students to join the space world, whether in government or industry and two assistant mentoring and training as their careers. Progress on that point, we're delighted. Be delighted to be working with Cal Poly as we hopefully will undertake a new pilot program with him very soon. So students stay tuned something I can tell you Space is really cool. While our nation's satellite systems are technical and complex, our nation's government and industry work force is highly diverse, with a combination of engineers, physicists, method and mathematicians, but also with a large non technical expertise as well. Think about how government gets things thes systems designed, manufactured, launching into orbit and operating. They do this via contracts with our aerospace industry, requiring talents across the board from cost estimating cost analysis, budgeting, procurement, legal and many other support. Tasker Integral to the mission. Many thousands of people work in the space workforce tens of billions of dollars every year. This is really cool stuff, no matter what your education background, a great career to be part of. When summary as bang had mentioned Aziz, well, there is a great deal of exciting challenges ahead we will see a new renaissance in space in the years ahead, and in some cases it's already begun. Billionaires like Jeff Bezos, Elon Musk, Sir Richard Richard Branson are in the game, stimulating new ideas in business models, other private investors and start up companies. Space companies are now coming in from all angles. The exponential advancement of technology and microelectronics now allows the potential for a plethora of small SAT systems to possibly replace older satellites the size of a Greyhound bus. It's getting better by the day and central to this conference, cybersecurity is paramount to our nation's critical infrastructure in space. So once again, thanks very much, and I look forward to the further conversation. >>Steve, thank you very much. Space is cool. It's relevant. But it's important, as you pointed out, and you're awesome story about how it impacts our life every day. So I really appreciate that great story. I'm glad you took the time Thio share that you forgot the part about the drone coming over in the crime scene and, you know, mapping it out for you. But that would add that to the story later. Great stuff. My first question is let's get into the conversations because I think this is super important. President Armstrong like you to talk about some of the points that was teased out by Bang and Steve. One in particular is the comment around how military research was important in developing all these capabilities, which is impacting all of our lives. Through that story. It was the military research that has enabled a generation and generation of value for consumers. This is kind of this workforce conversation. There are opportunities now with with research and grants, and this is, ah, funding of innovation that it's highly accelerate. It's happening very quickly. Can you comment on how research and the partnerships to get that funding into the universities is critical? >>Yeah, I really appreciate that And appreciate the comments of my colleagues on it really boils down to me to partnerships, public private partnerships. You mentioned Northrop Grumman, but we have partnerships with Lockie Martin, Boeing, Raytheon Space six JPL, also member of organization called Business Higher Education Forum, which brings together university presidents and CEOs of companies. There's been focused on cybersecurity and data science, and I hope that we can spill into cybersecurity in space but those partnerships in the past have really brought a lot forward at Cal Poly Aziz mentioned we've been involved with Cube set. Uh, we've have some secure work and we want to plan to do more of that in the future. Uh, those partnerships are essential not only for getting the r and d done, but also the students, the faculty, whether masters or undergraduate, can be involved with that work. Uh, they get that real life experience, whether it's on campus or virtually now during Covic or at the location with the partner, whether it may be governmental or our industry. Uh, and then they're even better equipped, uh, to hit the ground running. And of course, we'd love to see even more of our students graduate with clearance so that they could do some of that a secure work as well. So these partnerships are absolutely critical, and it's also in the context of trying to bring the best and the brightest and all demographics of California and the US into this field, uh, to really be successful. So these partnerships are essential, and our goal is to grow them just like I know other colleagues and C. S u and the U C are planning to dio, >>you know, just as my age I've seen I grew up in the eighties, in college and during that systems generation and that the generation before me, they really kind of pioneered the space that spawned the computer revolution. I mean, you look at these key inflection points in our lives. They were really funded through these kinds of real deep research. Bond talk about that because, you know, we're living in an age of cloud. And Bezos was mentioned. Elon Musk. Sir Richard Branson. You got new ideas coming in from the outside. You have an accelerated clock now on terms of the innovation cycles, and so you got to react differently. You guys have programs to go outside >>of >>the Defense Department. How important is this? Because the workforce that air in schools and our folks re skilling are out there and you've been on both sides of the table. So share your thoughts. >>No, thanks, John. Thanks for the opportunity responded. And that's what you hit on the notes back in the eighties, R and D in space especially, was dominated by my government funding. Uh, contracts and so on. But things have changed. As Steve pointed out, A lot of these commercial entities funded by billionaires are coming out of the woodwork funding R and D. So they're taking the lead. So what we can do within the deal, the in government is truly take advantage of the work they've done on. Uh, since they're they're, you know, paving the way to new new approaches and new way of doing things. And I think we can We could certainly learn from that. And leverage off of that saves us money from an R and D standpoint while benefiting from from the product that they deliver, you know, within the O D Talking about workforce development Way have prioritized we have policies now to attract and retain talent. We need I I had the folks do some research and and looks like from a cybersecurity workforce standpoint. A recent study done, I think, last year in 2019 found that the cybersecurity workforce gap in the U. S. Is nearing half a million people, even though it is a growing industry. So the pipeline needs to be strengthened off getting people through, you know, starting young and through college, like assess a professor Armstrong indicated, because we're gonna need them to be in place. Uh, you know, in a period of about maybe a decade or so, Uh, on top of that, of course, is the continuing issue we have with the gap with with stamps students, we can't afford not to have expertise in place to support all the things we're doing within the with the not only deal with the but the commercial side as well. Thank you. >>How's the gap? Get? Get filled. I mean, this is the this is again. You got cybersecurity. I mean, with space. It's a whole another kind of surface area, if you will, in early surface area. But it is. It is an I o t. Device if you think about it. But it does have the same challenges. That's kind of current and and progressive with cybersecurity. Where's the gap Get filled, Steve Or President Armstrong? I mean, how do you solve the problem and address this gap in the workforce? What is some solutions and what approaches do we need to put in place? >>Steve, go ahead. I'll follow up. >>Okay. Thanks. I'll let you correct. May, uh, it's a really good question, and it's the way I would. The way I would approach it is to focus on it holistically and to acknowledge it up front. And it comes with our teaching, etcetera across the board and from from an industry perspective, I mean, we see it. We've gotta have secure systems with everything we do and promoting this and getting students at early ages and mentoring them and throwing internships at them. Eyes is so paramount to the whole the whole cycle, and and that's kind of and it really takes focused attention. And we continue to use the word focus from an NSS, a perspective. We know the challenges that are out there. There are such talented people in the workforce on the government side, but not nearly enough of them. And likewise on industry side. We could use Maura's well, but when you get down to it, you know we can connect dots. You know that the the aspect That's a Professor Armstrong talked about earlier toe where you continue to work partnerships as much as you possibly can. We hope to be a part of that. That network at that ecosystem the will of taking common objectives and working together to kind of make these things happen and to bring the power not just of one or two companies, but our our entire membership to help out >>President >>Trump. Yeah, I would. I would also add it again. It's back to partnerships that I talked about earlier. One of our partners is high schools and schools fortune Margaret Fortune, who worked in a couple of, uh, administrations in California across party lines and education. Their fifth graders all visit Cal Poly and visit our learned by doing lab and you, you've got to get students interested in stem at a early age. We also need the partnerships, the scholarships, the financial aid so the students can graduate with minimal to no debt to really hit the ground running. And that's exacerbated and really stress. Now, with this covert induced recession, California supports higher education at a higher rate than most states in the nation. But that is that has dropped this year or reasons. We all understand, uh, due to Kobe, and so our partnerships, our creativity on making sure that we help those that need the most help financially uh, that's really key, because the gaps air huge eyes. My colleagues indicated, you know, half of half a million jobs and you need to look at the the students that are in the pipeline. We've got to enhance that. Uh, it's the in the placement rates are amazing. Once the students get to a place like Cal Poly or some of our other amazing CSU and UC campuses, uh, placement rates are like 94%. >>Many of our >>engineers, they have jobs lined up a year before they graduate. So it's just gonna take key partnerships working together. Uh, and that continued partnership with government, local, of course, our state of CSU on partners like we have here today, both Stephen Bang So partnerships the thing >>e could add, you know, the collaboration with universities one that we, uh, put a lot of emphasis, and it may not be well known fact, but as an example of national security agencies, uh, National Centers of Academic Excellence in Cyber, the Fast works with over 270 colleges and universities across the United States to educate its 45 future cyber first responders as an example, so that Zatz vibrant and healthy and something that we ought Teoh Teik, banjo >>off. Well, I got the brain trust here on this topic. I want to get your thoughts on this one point. I'd like to define what is a public private partnership because the theme that's coming out of the symposium is the script has been flipped. It's a modern error. Things air accelerated get you got security. So you get all these things kind of happen is a modern approach and you're seeing a digital transformation play out all over the world in business. Andi in the public sector. So >>what is what >>is a modern public private partnership? What does it look like today? Because people are learning differently, Covert has pointed out, which was that we're seeing right now. How people the progressions of knowledge and learning truth. It's all changing. How do you guys view the modern version of public private partnership and some some examples and improve points? Can you can you guys share that? We'll start with the Professor Armstrong. >>Yeah. A zai indicated earlier. We've had on guy could give other examples, but Northup Grumman, uh, they helped us with cyber lab. Many years ago. That is maintained, uh, directly the software, the connection outside its its own unit so that students can learn the hack, they can learn to penetrate defenses, and I know that that has already had some considerations of space. But that's a benefit to both parties. So a good public private partnership has benefits to both entities. Uh, in the common factor for universities with a lot of these partnerships is the is the talent, the talent that is, that is needed, what we've been working on for years of the, you know, that undergraduate or master's or PhD programs. But now it's also spilling into Skilling and re Skilling. As you know, Jobs. Uh, you know, folks were in jobs today that didn't exist two years, three years, five years ago. But it also spills into other aspects that can expand even mawr. We're very fortunate. We have land, there's opportunities. We have one tech part project. We're expanding our tech park. I think we'll see opportunities for that, and it'll it'll be adjusted thio, due to the virtual world that we're all learning more and more about it, which we were in before Cove it. But I also think that that person to person is going to be important. Um, I wanna make sure that I'm driving across the bridge. Or or that that satellites being launched by the engineer that's had at least some in person training, uh, to do that and that experience, especially as a first time freshman coming on a campus, getting that experience expanding and as adult. And we're gonna need those public private partnerships in order to continue to fund those at a level that is at the excellence we need for these stem and engineering fields. >>It's interesting People in technology can work together in these partnerships in a new way. Bank Steve Reaction Thio the modern version of what a public, successful private partnership looks like. >>If I could jump in John, I think, you know, historically, Dodi's has have had, ah, high bar thio, uh, to overcome, if you will, in terms of getting rapid pulling in your company. This is the fault, if you will and not rely heavily in are the usual suspects of vendors and like and I think the deal is done a good job over the last couple of years off trying to reduce the burden on working with us. You know, the Air Force. I think they're pioneering this idea around pitch days where companies come in, do a two hour pitch and immediately notified of a wooden award without having to wait a long time. Thio get feedback on on the quality of the product and so on. So I think we're trying to do our best. Thio strengthen that partnership with companies outside the main group of people that we typically use. >>Steve, any reaction? Comment to add? >>Yeah, I would add a couple of these air. Very excellent thoughts. Uh, it zits about taking a little gamble by coming out of your comfort zone. You know, the world that Bond and Bond lives in and I used to live in in the past has been quite structured. It's really about we know what the threat is. We need to go fix it, will design it says we go make it happen, we'll fly it. Um, life is so much more complicated than that. And so it's it's really to me. I mean, you take you take an example of the pitch days of bond talks about I think I think taking a gamble by attempting to just do a lot of pilot programs, uh, work the trust factor between government folks and the industry folks in academia. Because we are all in this together in a lot of ways, for example. I mean, we just sent the paper to the White House of their requests about, you know, what would we do from a workforce development perspective? And we hope Thio embellish on this over time once the the initiative matures. But we have a piece of it, for example, is the thing we call clear for success getting back Thio Uh, President Armstrong's comments at the collegiate level. You know, high, high, high quality folks are in high demand. So why don't we put together a program they grabbed kids in their their underclass years identifies folks that are interested in doing something like this. Get them scholarships. Um, um, I have a job waiting for them that their contract ID for before they graduate, and when they graduate, they walk with S C I clearance. We believe that could be done so, and that's an example of ways in which the public private partnerships can happen to where you now have a talented kid ready to go on Day one. We think those kind of things can happen. It just gets back down to being focused on specific initiatives, give them giving them a chance and run as many pilot programs as you can like these days. >>That's a great point, E. President. >>I just want to jump in and echo both the bank and Steve's comments. But Steve, that you know your point of, you know, our graduates. We consider them ready Day one. Well, they need to be ready Day one and ready to go secure. We totally support that and and love to follow up offline with you on that. That's that's exciting, uh, and needed very much needed mawr of it. Some of it's happening, but way certainly have been thinking a lot about that and making some plans, >>and that's a great example of good Segway. My next question. This kind of reimagining sees work flows, eyes kind of breaking down the old the old way and bringing in kind of a new way accelerated all kind of new things. There are creative ways to address this workforce issue, and this is the next topic. How can we employ new creative solutions? Because, let's face it, you know, it's not the days of get your engineering degree and and go interview for a job and then get slotted in and get the intern. You know the programs you get you particularly through the system. This is this is multiple disciplines. Cybersecurity points at that. You could be smart and math and have, ah, degree in anthropology and even the best cyber talents on the planet. So this is a new new world. What are some creative approaches that >>you know, we're >>in the workforce >>is quite good, John. One of the things I think that za challenge to us is you know, we got somehow we got me working for with the government, sexy, right? The part of the challenge we have is attracting the right right level of skill sets and personnel. But, you know, we're competing oftentimes with the commercial side, the gaming industry as examples of a big deal. And those are the same talents. We need to support a lot of programs we have in the U. D. So somehow we have to do a better job to Steve's point off, making the work within the U. D within the government something that they would be interested early on. So I tracked him early. I kind of talked about Cal Poly's, uh, challenge program that they were gonna have in June inviting high school kid. We're excited about the whole idea of space and cyber security, and so on those air something. So I think we have to do it. Continue to do what were the course the next several years. >>Awesome. Any other creative approaches that you guys see working or might be on idea, or just a kind of stoked the ideation out their internship. So obviously internships are known, but like there's gotta be new ways. >>I think you can take what Steve was talking about earlier getting students in high school, uh, and aligning them sometimes. Uh, that intern first internship, not just between the freshman sophomore year, but before they inter cal poly per se. And they're they're involved s So I think that's, uh, absolutely key. Getting them involved many other ways. Um, we have an example of of up Skilling a redeveloped work redevelopment here in the Central Coast. PG and e Diablo nuclear plant as going to decommission in around 2020 24. And so we have a ongoing partnership toe work on reposition those employees for for the future. So that's, you know, engineering and beyond. Uh, but think about that just in the manner that you were talking about. So the up skilling and re Skilling uh, on I think that's where you know, we were talking about that Purdue University. Other California universities have been dealing with online programs before cove it and now with co vid uh, so many more faculty or were pushed into that area. There's going to be much more going and talk about workforce development and up Skilling and Re Skilling The amount of training and education of our faculty across the country, uh, in in virtual, uh, and delivery has been huge. So there's always a silver linings in the cloud. >>I want to get your guys thoughts on one final question as we in the in the segment. And we've seen on the commercial side with cloud computing on these highly accelerated environments where you know, SAS business model subscription. That's on the business side. But >>one of The >>things that's clear in this trend is technology, and people work together and technology augments the people components. So I'd love to get your thoughts as we look at the world now we're living in co vid um, Cal Poly. You guys have remote learning Right now. It's a infancy. It's a whole new disruption, if you will, but also an opportunity to enable new ways to collaborate, Right? So if you look at people and technology, can you guys share your view and vision on how communities can be developed? How these digital technologies and people can work together faster to get to the truth or make a discovery higher to build the workforce? These air opportunities? How do you guys view this new digital transformation? >>Well, I think there's there's a huge opportunities and just what we're doing with this symposium. We're filming this on one day, and it's going to stream live, and then the three of us, the four of us, can participate and chat with participants while it's going on. That's amazing. And I appreciate you, John, you bringing that to this this symposium, I think there's more and more that we can do from a Cal poly perspective with our pedagogy. So you know, linked to learn by doing in person will always be important to us. But we see virtual. We see partnerships like this can expand and enhance our ability and minimize the in person time, decrease the time to degree enhanced graduation rate, eliminate opportunity gaps or students that don't have the same advantages. S so I think the technological aspect of this is tremendous. Then on the up Skilling and Re Skilling, where employees air all over, they can be reached virtually then maybe they come to a location or really advanced technology allows them to get hands on virtually, or they come to that location and get it in a hybrid format. Eso I'm I'm very excited about the future and what we can do, and it's gonna be different with every university with every partnership. It's one. Size does not fit all. >>It's so many possibilities. Bond. I could almost imagine a social network that has a verified, you know, secure clearance. I can jump in, have a little cloak of secrecy and collaborate with the d o. D. Possibly in the future. But >>these are the >>kind of kind of crazy ideas that are needed. Are your thoughts on this whole digital transformation cross policy? >>I think technology is gonna be revolutionary here, John. You know, we're focusing lately on what we call digital engineering to quicken the pace off, delivering capability to warfighter. As an example, I think a I machine language all that's gonna have a major play and how we operate in the future. We're embracing five G technologies writing ability Thio zero latency or I o t More automation off the supply chain. That sort of thing, I think, uh, the future ahead of us is is very encouraging. Thing is gonna do a lot for for national defense on certainly the security of the country. >>Steve, your final thoughts. Space systems are systems, and they're connected to other systems that are connected to people. Your thoughts on this digital transformation opportunity >>Such a great question in such a fun, great challenge ahead of us. Um echoing are my colleague's sentiments. I would add to it. You know, a lot of this has I think we should do some focusing on campaigning so that people can feel comfortable to include the Congress to do things a little bit differently. Um, you know, we're not attuned to doing things fast. Uh, but the dramatic You know, the way technology is just going like crazy right now. I think it ties back Thio hoping Thio, convince some of our senior leaders on what I call both sides of the Potomac River that it's worth taking these gamble. We do need to take some of these things very way. And I'm very confident, confident and excited and comfortable. They're just gonna be a great time ahead and all for the better. >>You know, e talk about D. C. Because I'm not a lawyer, and I'm not a political person, but I always say less lawyers, more techies in Congress and Senate. So I was getting job when I say that. Sorry. Presidential. Go ahead. >>Yeah, I know. Just one other point. Uh, and and Steve's alluded to this in bonded as well. I mean, we've got to be less risk averse in these partnerships. That doesn't mean reckless, but we have to be less risk averse. And I would also I have a zoo. You talk about technology. I have to reflect on something that happened in, uh, you both talked a bit about Bill Britton and his impact on Cal Poly and what we're doing. But we were faced a few years ago of replacing a traditional data a data warehouse, data storage data center, and we partner with a W S. And thank goodness we had that in progress on it enhanced our bandwidth on our campus before Cove. It hit on with this partnership with the digital transformation hub. So there is a great example where, uh, we we had that going. That's not something we could have started. Oh, covitz hit. Let's flip that switch. And so we have to be proactive on. We also have thio not be risk averse and do some things differently. Eyes that that is really salvage the experience for for students. Right now, as things are flowing, well, we only have about 12% of our courses in person. Uh, those essential courses, uh, and just grateful for those partnerships that have talked about today. >>Yeah, and it's a shining example of how being agile, continuous operations, these air themes that expand into space and the next workforce needs to be built. Gentlemen, thank you. very much for sharing your insights. I know. Bang, You're gonna go into the defense side of space and your other sessions. Thank you, gentlemen, for your time for great session. Appreciate it. >>Thank you. Thank you. >>Thank you. >>Thank you. Thank you. Thank you all. >>I'm John Furry with the Cube here in Palo Alto, California Covering and hosting with Cal Poly The Space and Cybersecurity Symposium 2020. Thanks for watching.

>> Announcer: From around the globe, it's theCUBE. Covering Google Cloud Next on Air '20. >> Hi, I'm Stu Miniman. And this is theCUBE's coverage of Google Cloud Next On Air. One of the weeks that they had for the show is to dig deep into infrastructure, of course, one of the foundational pieces when we talk about cloud, so happy to welcome to the program, I've got two of the general managers for both compute and networking. First of all, welcome back one of our cube alumni, June Yang, who's the vice president of compute and also welcoming Shailesh Shukla who's the vice president and general manager of networking both with Google Cloud. Thank you both so much for joining us. >> Great to be here. >> Great to be here, thanks for inviting us Stu. >> So June, if I can start with, you know, one of the themes I heard in the keynote that you gave during the infrastructure week was talking about, we talked about meeting customers where they are, how do I get, you know, all of my applications that I have, obviously some of them are building new applications. Some of them I'm doing SaaS, but many of them, I have to say, how do I get it from where I am to where I want to be and then start taking advantage of cloud and modernization and new capabilities. So if you could, you know, what's new when it comes to migration from a Google Cloud standpoint and, you know, give us a little bit insight as to what you're hearing from your customers. >> Yeah, definitely happy to do so. I think for many of our customers, migration is really the first step, right? A lot of the applications on premise today so the goal is really how do I move from on prem to the cloud? So to that extend, I think we have announced a number of capabilities. And one of the programs that are very exciting that we have just launched is called RAMP program which stands for Google Cloud Rapid Assessment and Migration Program. So it's really kind of bundling a holistic approach of you know, kind of programs tooling and you know, as well as incentives altogether to really help customer with that kind of a journey, right? And then also on the product side, we have introduced a number of new capabilities to really ease that transition for customer to move from on premise to the cloud as well. One of the things we just announced is Google Cloud VMware Engine. And this is really, you know, we built as a native service inside Google as a (indistinct) to allow customer to run their VMware as a service on top of Google infrastructure. So customers can easily take their, you know, what's running on premise, that's running VMware today and move it to cloud was really no change whatsoever and really lift and shift. And your other point is really about a modernization, right? Cause most of our customers coming in today, it's not just about I'm running this as a way it is. It's also, how do I extract value out of this kind of capability? So we build this as a service so that customer can easily start using services like BigQuery to be able to extract data and insights out of this and to be able to give them additional advantages and to create new services and things like that. And for other customers who might want to be able to, you know, leverage our AI, ML capability, that's at their fingertips as well. So it's just really trying to make that process super easy. Another kind of class of workloads we see is really around SAP, right? That's our bread and butter for many enterprises. So customers are moving those out into the clouds and we've seen many examples really kind of really, allow customers to take the data that's sitting in SAP HANA and be able to extract more value out of those. Home Depot is a great example of those and where they're able to leverage the inquiry to take, you know, their stockouts and some of the inventory management and really to the next level, and really giving a customer a much better experience at the end of the day. So those are kind of just a few things that we're doing on that side to really make you a customer easy to lift and shift and then be able to modernize along the way. >> Well yeah, June, if I would like to dig in a little bit on the VMware piece that you talked about. I've been talking of VM-ware a bit lately, talking to some of their customers leveraging the VMware cloud offerings and that modernization is so important because the traditional way you think about virtualization was I stick something in a VM and I leave it there and of course customers, I want to be able to take advantage of the innovation and changes in the cloud. So it seems like things like your analytics and AI would be a natural fit for VMware customers to then get access to those services that you're offering. >> Yeah, absolutely. I think we have lots of customers, that's kind of want to differentiators that customers are looking for, right? I can buy my VMware in a variety of places, but I want to be able to take it to the next level. How do I use data as my differentiator? You know, one of the core missions as part of the Google mission is really how do we help customers to digitally transform and reimagine their business was a data power innovation, and that's kind of one key piece we know we want to focus on, and this is part of the reason why we built this as really a native service inside of Google Cloud so that you're going through the same council using, you know, accessing VMware engine, accessing BigQuery, accessing networking, firewalls, and so forth, all really seamlessly. And so it makes it really easy to be able to extend and modernize. >> All right, well, June one of the other things, anytime we come to the Cloud event is we know that there's going to be updates in some of the primary offerings. So when it comes to compute and storage, know there's a number of announcements there, probably more than we'll be able to cover in this, but give us some of the highlights. >> Yeah, let me give some highlights I mean, at the core of this is a really Google Compute Engine, and we're very excited we've introduced a number of new, what we call VM families, right? Essentially different UBM instances, that's catered towards different use cases and different kinds of workloads. So for example, we launched the N2D VM, so this is a set of VMs on EMD technology and really kind of provide excellent price performance benefit for customers and who can choose to go down that particular path. We're also just really introduced our A2 VM family. This is based on GPU accelerator optimized to VM. So we're the first ones in the market to introduce NVIDIA Ampere A 100. So for lots of customers who were really introduced, we're interesting, you know, use GPU to do their ML and AI type of analysis. This is a big help because it's got a better performance compared to the previous generation so they can run their models faster and turn it around and turn insights. >> Wonderful. Shailesh, of course we want to hear about the networking components to, you know, Google, very well known you know, everybody leverages Google's network and global reach so how about the update from your network side? >> Absolutely. Stu, let me give you a set of updates that we have announced at next conference. So first of all as you know, many customers choose Google Cloud for the scale, the reach, the performance and the elasticity that we provide and ultimately results in better user experience or customer experience. And the backbone of all of this capability is our private global backbone network, right? Which all of our cloud customers benefit from. The networking is extremely important to advance our customers digital journeys, the ones that June talked about, migration and modernization, as well as security, right? So to that end, we made several announcements. Let's talk about some of them. First we announced a new subsea cable called the Grace Hopper which will actually run between the U.S. on one side and UK on the other and Spain on another leg. And it's equipped with about 16 fiber pairs that will get completed in 2022. And it will allow for significant new capacity between the U.S. and Europe, right? Second Google Cloud CDN, it's one of our most popular and fast-growing service offerings. It now offers the capability to serve content from on prem, as well as other clouds especially for hybrid and multicloud deployments. This provides a tremendous amount of flexibility in where the content can be placed and overall content and application delivery. Third we have announced the expansion of our partnership with Cisco and it's we have announced this notion of Cisco SD-WAN Cloud Hub with Google Cloud. It's one of the first in the industry to actually create an automated end to end solution that intelligently and securely, you know, connects or bridges enterprise networks to any workload across multiple clouds and to other locations. Four, we announced a new capabilities in the network intelligence center. It's a platform that provides customers with unmatched visibility into their networks, along with proactive kind of network verification, security recommendations, and so on. There were two specific modules there, around firewall insights and performance dashboard that we announced in addition to the three that already existed. And finally, we have a range of really powerful announcements in the security front, as you know, security is one of our top priorities and our infrastructure and products are designed, built and operated with an end to end security framework and end to end security as a core design principle. Let me give you a few highlights. First, as part of making it easy for firewall management for our customers to manage firewall across multiple organizations, we announced hierarchical firewall. Second, in order to enable, you know, better security capability, we announced the notion of packet metering, right? So which is something that we announced earlier in the year, but it's now GA and allows customers to collect and inspect network traffic across multiple machine types without any overhead, right? Third is, in actually in our compute and security teams, we announced the capability to what we call as confidential VMs, which offer the ability to encrypt data while being processed. We have always had the capability to encrypt data at rest and while in motion, now we are the first in the industry to announce the ability to encrypt data even while it is being processed. So we are really, you know, pleased to offer that as part of our confidential computing portfolio. We also announced the ability to do a managed service around our cloud armor security portfolio for DDoS web application and bot detection, that's called Cloud Armor Managed Protection. And finally we also announced the capability called Private Service Connect that allows customers to connect effortlessly to other Google Cloud services or to third party SaaS applications while keeping their traffic secure and private over the, in kind of the broader internet. So we were really pleased to announce in number of, you know, very critical kind of announcements, products and capabilities and partnerships such as Cisco in order to further the modernization and migration for our customers. >> Yeah, one note I will make for our audience, you know, check the details on the website. I know some of the security features are now in data, many of the other things it's now general availability. Shailesh, follow up question I have for you is when I look in 2020, the internet patterns of traffic have changed drastically. You saw a very rapid shift, everyone had needed to work from home, there's been a lot of stresses and strains on the network, when I hear things like your CDN or your SD-WAN partnership with Cisco, I have to think that there's, you know, an impact on that. What are you seeing? What are you hearing from your customers? How are you helping them work through these rapid changes to be able to respond and still give people the, you know, the performance and reliability of traffic where they need it, when they need? >> Right, absolutely. This is a, you know, very important question and a very important topic, right? And when we saw the impact of COVID, you know, as you know Google's mission is to be, continue to be helpful to our customers, we actually invested and continue to invest in building out our CDN capability, our interconnect, the capacity in our network infrastructure, and so on, in order to provide better, for example distance learning, video conferencing, e-commerce, financial services and so on and we are proud to say that we were able to support a very significant expansion in the overall traffic, you know, on a global basis, right? In Google Clouds and Google's network without a hitch. So we are really proud to be able to say that. In addition there are other areas where we have been looking to help our customers. For example, high performance computing is a very interesting capability that many customers are using for things such as COVID research, right? So a good example is Northeastern University in Boston that has been using, you know, a sort of thousands of kind of preemptable virtual machines on Google Cloud to power very large scale and a data driven model and simulations to figure out how the travel restrictions and social distancing will actually impact the spread of the virus. That's an example of the way that we are trying to be helpful as part of the the broader global situation. >> Great. June, I have to imagine generally from infrastructure there've been a number of other impacts that Google Cloud has been helping your customers, any other examples that you'd like to share? >> Yeah, absolutely. I mean, if you look at the COVID impact, it impact different industries quite differently. We've seen certain industries that just really, their demand skyrocketed overnight. For example you know, I take one of our internal customer, Google, you know, Google Meet, which is Google's video conferencing service, we just announced that we saw a 30X increase over the last few months since COVID has started. And this is all running on Google infrastructure. And we've seen similar kind of a pattern for a number of our customers on the media entertainment area, and certainly video conferencing and so forth. And we've been able to scale to beat these key customer's demand and to make sure that they have the agility they need to meet the demand from their customers and so we're definitely very proud to be part of the, you know, part of this effort to kind of enable folks to be able to work from home, to be able to study from home and so on and so forth. You know, for some customers, you know, the whole business continuity is really a big deal for them, you know, where's the whole work from home a mandate. So for example, one of our customers Telus International, it's a Canadian telecommunication company, because of COVID they had to, you know, be able to transition tens and thousands of employees to work on the whole model immediately. And they were able to work with Google Cloud and our partner, itopia, who is specializing in virtual desktop and application. So overnight, literally in 24 hours, we're able to deploy a fully configured virtual desktop environments from Google Cloud and allow their employees to come back to service. So that's just one example, there's hundreds and thousands more of those examples, and it's been very heartening to be part of this, you know, Google to be helpful to our customer. >> Great. Well, I want to let both of you just have the final word when you're talking to customers here in 2020, how should they be thinking of Google Cloud? How do you make sure that you're helping them in differentiating from some of the other solutions and the environment? May be June if we could start with you. >> Sure, so at Google Cloud, our goal is to make it easy for anyone you know, whether you're big big enterprises or small startups, to be able to build your applications, to be able to innovate and harness the power of data to extract additional information, insights, and to be able to scale your business. As an infrastructure provider, we want to deliver the best infrastructure to run all customers application and on a global basis, reliably and securely. Definitely getting more and more complicated and you know, as we kind of spread our capacity to different locations, it gets more complicated from a logistics and a perspective as well so we want to help to do the heavy lifting around the infrastructure, so that from a customer, they can simply consume our infrastructure as a service and be able to focus on their businesses and not worry about the infrastructure side. So, you know, that's our goal, we'll do the plumbing work and we'll allow customers innovate on top of that. >> Right. You know, June you said that very well, right? Distributed infrastructure is a key part of our strategy to help our customers. In addition, we also provide the platform capability. So essentially a digital transformation platform that manages data at scale to help, you know, develop and modernize the applications, right? And finally we layer on top of that, a suite of industry specific solutions that deliver kind of these digital capabilities across each of the key verticals, such as financial services or telecommunications or media and entertainment, retail, healthcare, et cetera. So that's how combining together infrastructure platform and solutions we are able to help customers in their modernization journeys. >> All right, June and Shailesh, thank you so much for sharing the updates, congratulations to your teams on the progress, and absolutely look forward to hearing more in the future. >> Great, thank you Stu. >> Thank you Stu. >> All right, and stay tuned for more coverage of Google Cloud Next On Air '20. I'm Stu Miniman, thank you for watching theCUBE. (Upbeat music)

>>live from Atlanta, Georgia. It's the Q covering answerable Best 2019. Brought to you by Red Hat >>Hey, welcome back, everyone. This is the Cubes. Live coverage here in Atlanta, Georgia, for Ansel Fast, part of Red Hats Annual event with their customers, their community. I'm Chon hurry with the Cuban stupid men. My co host. Our next guest is Jason Smith, vice president. North America Service is for Red Hat. Jason, welcome to the Cube. >>Thanks. Thanks for having me. >>So mostly the service is wrapped around this or huge opportunity because of the impact that the automation is having the tasks people's jobs shift on the things they can do, more things. That service is opportunity, bigot. You just take us through kind of your strategy of how you look at answerable in context of the red hat portfolio. >>Sure, yeah. So from the service's perspective, we're really responsible for ensuring customer success and sex successful adoption of all of our technologies. So across the entire portfolio and so as opposed to a service. This company that's focused on surfaces were really focused on driving customers success and making sure that customers were successful so overall, from the service's perspective we have obviously are consulting, which really focused on working with customers. Implement solutions around red technology is expanding the use of redhead technologies. We have our training business, which is our education and certification business, which has on sites, open enrollment. But also over the last couple years we released our Red Hat Learning subscription, which is basically gives customers access to the entire portfolio of training on demand in the self paced way, which is been really fast growing part of our business. And then I think we've talked to you a little bit about this before, which is our open innovation labs, which is really focused on people in process and helping customers go through that digital transformation type of journey and focus around culture and things like that. >>It's interesting you look at the interviews we had yesterday with some of your customers. It's actually have a couple different profiles. You have the man. We nailed it. Now I gotta bring us across the entire organization, get a champion driving change. Other groups are standardized with that substrate for answerable. Others were like, Wow, I have other stuff. I need to really figure this out, take us through how you guys would approach those use cases because they're different. But all would want more. Service is some to accelerate either, say a champion, some to get a new prospect on board. >>Right? So, um, we've laid out We'll release is about 90 days ago, which is called Dark Automation Adoption Journey. And this is a five phased approach where we've worked with customers hundreds of customers around the world, in every phase of adoption of automation, obviously specifically around answerable. And this really looks at helping customers go from more of a tactical strategy, typically is what we're seeing today. A lot of customers have and school in different pockets, doing a lot of tactical things that are driving a lot of value. But how do you take that? And then really get two more of an enterprise strategy? So that's really what we've focused on taking what we've learned with customers at all of those phases and really taking those best practices and coming up with a standardized approach that we can really work with customers to be ableto get through that journey with him. >>Jason could bring us inside the customer base a little here. You know, what we hear is it's really easy to get started. But when you lay out those five steps is everybody looking to get to st five? Is that a, you know, year journey? Are some people okay? Just being at phase two or three. Help us understand a little bit, Kind of. And we know it varies greatly, but some of the characteristics as toe how fast they move along where the end journey is for most organizations, >>right. So as I mentioned this, customers are coming in. Some have been early adopters of answerable for a long time. So we've been working at more of a department departmental level with customers where they're driving value at that departmental level. Others were kind of coming to us for the first time, saying we're hearing all about this automation stuff. We know we need it, but we need to get started. And so we're really looking at, um, kind of starting out. We typically start with the Discovery session, and so we're bringing in our architects and consultants to come in and meet with their business and technical stakeholders to really understand where they are in that journey and really defined kind of their goals and objectives. So every customer is different, so really understanding what their goals and priorities are and then being able to help kind of craft that road map with, um to get through that journey. But I'd say most of our customers looking to figure out how to take it from kind of more of those tactical implementations to how do we leverage that in a more scalable, consistent way and be able to manage it more across the enterprise? >>Well, it's a direct software development often is different at different, different parts in an organization. If you look a kind of a dev ops movement, it's, you know, trying to get a little bit consistency across those, and it sounds like answerable plays well, toe help get collaboration and you know those playbooks that could be used across and know that I have something that is supported and works, and my organization buys into it >>exactly. So a lot of customers air doing great things in those pockets. But like you said, how do you take those and not reinvent the wheel every time but take them and kind of break them down into consumable chunks, kind of validate those and then publish them. So you have a standard set of playbooks that people can use and reuse versus developing them again for the first time. Because we know that answerable. You can do things quickly, but you don't want to redo them 10 different ways to do the same thing. So having that kind of blessed standardized way and then publishing them out managing them is really important. >>Great feedback from customers on that two on. Then they get more playbooks to get more. I gotta manage that. But one of the interesting things we talked about yesterday with Stephanie Cheers with on the rail side was connecting, answerable to rail the insights. Was the analytics certainly compelling? A lot of benefits scare coming into the rest of red hat. Well, where is that opportunity? How do you guys servicing those pieces? >>Yes, so we're really looking at answerable to be part of most of the red hat portfolio. So as we're working with customers and they're adopting more and more of the Red Hat technologies, answerable becomes a bigger part of that. So whether it's kind of bringing in our training to help train and enable customer associates on using answerable not only for automation but whether you're a real admin or open shift, or no matter what kind of product you're using, being ableto have the training enablement and service is around that to help everyone learn to understand how to use an school in leverage danceable across any area of the plot. >>You guys aren't new to platforms. Answer would have been a great product. Now the platform approach, any things you guys are gonna do different is going to the same Red Hat playbook dealing with other platforms like Open shift in other things. You guys been successful with similar playbook for you guys, or what's the? Is there a nuance with the platform of sensible automation? Ours business as usual? >>Yes. From the service's perspective, we've tried to really standardize on a set of offerings, um, and leverage kind of a consistent approach, whether it's with open shift for helping customers adopt containers or helping customers build a hybrid cloud. Or we've even got a adoption journey around huts for Tokyo's the leverage to create an NFI architecture. It's the same kind of process and framework. So we try to build a standardized process and no matter kind of what type of solution customers air building We look to follow those types of >>dreams. Nice glue layer kind of fits everywhere on a personal question for you. What's the show been like here for you share with the people watching who weren't here? Why is this year important? This seems to be an inflection point for answerable fest, the vibe, the number of attendees, the moment in history where the cloud journey on premises What's What's your take on? This is your personal view. It's >>been great. I mean, I think just the size talking a lot of people that have been coming here for many, many years, even prior to the redhead acquisition of Answerable. This is really community driven event, and it's still set up like a community driven event. You won't see a big red hat stuff everywhere. It's really kind of by the community for the community. And just to see the sheer size of on the number of attendees here, and really kind of the evolution of what customers are being able to talk about on stage with a value they're getting out of answerable is pretty tremendous. So just seeing the pure return on investment of leveraging, answerable and looking at all of the large customers they're here, speaking even on the panel last night was really incredible to see them talk about their journeys over the last couple of years, going from just starting to be work with, answerable to really kind of driving that across the enterprise and getting continually >>local on feedback. But they're also vocal on success. They have all these building in champions inside your inside the customer base, >>and they're all very, very excited about when you have excited customers. >>So, Jason, I'm wonder if you could help us connect the dots with how automation ties into the other journeys customers are going through. You know, the digital transformation, modernizing their applications, changing their hybrid and cloud hybrid and multi cloud environment. What's the role of automation to, you know, enable that and participate in those journeys? >>Yes, it's and it really has kind of a part in all of those journeys. So we work with lots of large customers that are going through a kind of different parts of those different journeys, and it seems like ants will becomes a part of it. And so, for instance, one of our customers that working we're working with right now through a large digital transformation, kind of across the entire enterprise from a both people process and technology perspective on this is leveraging things like open shift and modernizing all of their applications and breaking down things in the micro Service's and really transforming their business. But part of that is leveraging, answerable. And so one of the CEOs mottoes was, If we do something more than twice, we're gonna automate it. And so I hear that kind of over and over again, no matter what type of customer we're working with, no matter what type of kind of solution we're implementing, they're coming up with these monsters that they get really excited about around automation. Um, so we're not going to do things the old way with these new projects. We wanna automate everything, and I just seeing a ton of value and efficiency out of it. >>Awesome. What's the biggest surprise that you've seen over the past year on the service aside and just in terms of enterprise readiness Enterprise and appetite. Adoption, Any observations you could share around what's going on with automation, Observe, ability, a big part of the business. We're seeing that, too. Automation Observe ability to hot new sectors. Just exploding opportunity. >>Yeah, I think just continuing to see this kind of digital transformation effort across so many different customers and get everybody's really focused on not only the technology and the technology, especially things like open shift in Ansel and Rail. They're enabling all of this change in all of this movement to the cloud and the automation, but really working with customers to focus on the people in process so they can leverage those capabilities because just adopting the platforms doesn't give you all of the benefits without changing your people in process. So we spent a lot of time talking about really around the culture, and customers are looking at us saying Red Hat Service's Don't just come in with the technical experts would help us really understand how we transform our people in process along the way to really take advantage of the innovation that's going around right now with the cloud. >>So, Jason, uh, IBM Zach Wizard Read had been very clear keeping the brand, the products, the people of Red Hat. IBM knows a thing or two about service is though we think that, you know, service is really are the main focus that that will happen there. So give us a little insight as to how the scale of IBM will increase what redhead service is able to be able to dio. >>Yeah, So it's great for Red Hat, right? Because we now have a company the size of IBM out driving the adoption of our technologies. So everything that we're able to dio to date from a red hat perspective got us to one level of scale. But IBM is gonna take us to that next level of scale. And from a service's perspective, IBM already has service's departments around all of their different technologies. And so we really are gonna be treated kind of service department. So we're gonna continue to be the experts around Red Hat Technologies. But it really doesn't change that much for us because we worked with large s eyes. Um, since the time we started here and were always part of a lot of largess, I implementations so although IBM will be a very important partner of ours. They won't be on. The other part of the only partner will still work with all >>the flights. IBM That's right. And so we worked at >>IBM before the acquisition as a partner will work with him after the acquisition. But IBM What will change is on the IBM side, they will be building much larger delivery organizations around Red Hat Technologies, which will allow us to kind of get the the customer started on that journey. But when they look to really scale out than IBM can take in and kind of take that to the next level, that we would never have the scale to be able to get to that side. So it's good for us. It's good for our customers, and it's good for red hat driving adoption. >>Jim pointed this out on the many times on multiple calls around the broad portfolio. You guys have an IBM. They have somewhere broad portfolio. Thanks for coming on, sharing your insights. What's new for you? Take a quick minute to plug in what's going on your organization and what you're up to? >>Yes, So we're just continuing to scale. So, um The good news is IBM has a large service's organization, but that also drives a lot of demand for us. So we're continuing to scale, will continue to improve. Our offerings were continuing to help our customers reach those goals, moving to the cloud and everything they're looking to try to accomplish. >>Great. Thanks for coming. I appreciate it to Cuba. Coverage here. Danceable fast. I'm John for a student. Stay with us. More day, too. Live coverage after this short break.

>> From Palo Alto, California it's theCUBE, covering VMware Women Transforming Technology 2019. Brought to you by VMware. >> Hi Lisa Martin on the ground with theCUBE at VMware Palo Alto California at the 4th annual Women Transforming Technology event wt². And pleased to welcome to theCUBE for the first time Rashim Mogha, the Head of Product at Automation Anywhere. Rashim it's great to have you on theCUBE. >> Thank you so much Lisa very excited to be here >> And good to see you again you and I were, moderating the together woman achieve event a few months ago that Dell sponsors back in I want to say November 2018 >> Yeah. >> where you one of the exciting things in that swag bag was one of your five books, Fast-Track Your Leadership Career. Tell me about the book what inspired it what can readers learn in that book. >> Absolutely so I come from a project management background and for me everything has to be in the form of a template and that's how it works, right? So when I was new to my leadership career, I would read all these leadership books but they would just focus on one area so you had to read like so many books and skim through all those books to extract what worked for you. Now for me it was important to kind of templatize that and when I templatized it, I actually started talking about it at various events, one of them was Women Transforming Technology last year and as I gave that after I finished that session and we started I started walking out, one of the attendees came to me and said, this was such great information do you have a book? and I said no I don't but I'll have one soon and then I met with my publisher whom I met through one of the speakers at WT2 and we started working on it and in September we had a book. >> September 2018 and then, probably surprisingly to you 11 hours later, this book was on the Amazon number-one bestseller list. >> Yes it was >> that must have been like whiplash what? >> It was a very emotional day it was a roller coaster so we had thought about my publishers had more belief than I did in terms of the book having the potential to be an Amazon bestseller. And number one bestseller to be precise and I was like okay let's give it a try. So I was supposed to go to Grace Hopper Conference last year at that time, and I decided to stay back because the book launch was planned on that day. So we launched we started telling everybody that the book is on Amazon, at about ten o'clock in the morning and by seven o'clock I got an got a text message from my publisher with the screenshot, saying it was number one. >> So yeah very exciting it it took me a few days to realize what it really meant to be an Amazon bestseller. >> I bet that feels amazing. So tell me a little bit before we dig into the book and what you're doing here at wt² today, tell me a little bit about your career path in technology so we can understand some of the recommendations that you're giving the current and subsequent generations about how to fast-track it. Where did you start was it I was a stem interested kid to college. >> Yeah so I was actually studying to be a doctor because I come from India so in India they're just three careers, you're either a doctor or an engineer or you're nobody right so and this was when I was growing up so I actually unfortunately fell sick and could not take my medical exam and missed it actually took the exam, missed it by a few points and and did not know what to do because all my life I had thought about becoming a doctor and it just so happened that there was a computer science program that was out there and my mom saw, saw in a scholarship opportunity over there and she said well just give it a try if you get the scholarship then we'll talk about it and then fortunately for me I got 75% scholarship in that. So I was like okay I'll give it a try so I botany majored and did computer science and that's where my journey started into into the technology field. And got an opportunity to be absorbed within that group the same company absorbed me as as a developer. And within six months I get an opportunity to write a book and that was amazing because I never thought that I could be a teacher or be in front of anybody because I am so impatient as a person right? So so then we started when I started writing the book I realized , this is a great way to empower people and you know and it's a it's a great way to use my technical skills but also my writing abilities. And then you know six months down the line, I got an opportunity to be a project manager I took that so in my life if you see if my career path I've kind of bounced around a little bit, taken risks early on in my career and I continue to take risks in my career because if you don't give it a try you would never know. >> Exactly. >> So and that's what I tell women today like when you come out of college or even if you are in somewhere in your mid-career. You know don't don't tie yourself to a particular job role, or to a particular area try out different things and if there's an opportunity that's given to you, grab it with both your hands and then figure out how you're going to do the job well. >> I like that I always think if you have a goal that doesn't give you butterflies, it's not worth having. >> Yeah >> So in in just giving our viewers a little bit of a snapshot what are some of the things that they can learn and take away from Fast-Track Your Leadership Career book. >> Yeah so first and foremost is understanding your superpower right? How are you different from other people what do you bring to the table that others do not. Because in today's day and age, almost everybody does a great job right? What sets you apart for the next role is what you should always know. Building your personal brand most often we introduce ourselves as what job title we have and the company that we work for. It's important to know and have your identity beyond the company. The third piece is understanding the difference between sponsors and mentors. And that is the place where I think women really need to invest some time because we normally seek mentors. We very rarely go out and look at people and say you know what this person is going to be my sponsor and she or he is actually going to be my cheerleader when I'm not there in the room and and recommend me for that next job. >> So that's the difference between a sponsor I like that a sponsor and a mentors. Mentor is giving you advice and guidance, a sponsor is actually out there championing, >> Absolutely >> why you should hire a Rashim bring her into your team, these are all the great things that she does. >> Absolutely and then then there are other topics that we cover we cover navigating work politics. Most of us tend to stay away from politics but actually how to get into that you know understanding that I would call it work force intelligence if you will and leveraging it to further your projects in a good way. And then also building your support system now typically when we women talk about support system, we think about just two aspects. Emotional support system and the logistic support system but but there is also financial support system and intellectual support system and that's what you need to start building, to be able to further your career. >> I got to get a copy of this book. You probably have some, I'm guessing (mumbles). So you have a couple of sessions here at WT wt², building voice experiences through Alexa skills but one that I want to dig into in the last few minutes that we have. Project you a DevOps approach to a leadership career. Tell me about that pan and that breakout. >> Yeah so if you if you really look at the concept of DevOps it's or CI/CD model its development and then pushing it into operations and then moving into development again and then operations. So when you actually start preparing for your leadership career, that's the way you go. You you rinse and repeat the cycle what works for you in this role, will not work for you in your next role. So how are you continuously preparing yourself and using that DevOps approach, to kind of move to the next level, is what we'll cover in that session. >> That's fantastic. So one thing I also want to mention is that so we talked about becoming a number one Amazon bestseller, the book Fast-Track Your Leadership Career, just about six months ago in fall of 2018. It also inspired you to found, an initiative called eWOW, empowered Women of the World. Tell me a little bit about eWOW and why this book book number five being so instantly successful was so inspirational for eWOW. >> Yeah so I come from a training and enablement background so for me it was and and you know when you when you look at my personal brand, it's all about enabling and empowering people. So I wanted to basically find avenues, to be able to empower other woman. And essentially you know at eWOW, we believe that every woman, has the capability or is a leader in her own, you know her own right. And all that she needs is an intellectual platform and a framework and that's where eWOW came into being. We started off with just podcast, doing weekly podcast picking up topics around leadership and technical topics, we have audience in about 20 countries right now and then as an extension to that, we also launched five Alexa skills and that's going to be the topic that I'm going to be speaking about later today and it was all about you know different ways of enabling and empowering people. >> I love that. Well Rashim it's been such a pleasure, to have you on theCUBE. We thank you for giving us some of your time and we look forward to talking with you again about, maybe book number six? >> Well you never know. Last time I walked out of this conference, I had a book in ring so you never know what's up. >> You never know. But thank you so much. Your story is very inspiring and and i can't wait to, get my hands on a copy of that book. >> Thank you so much. >> My pleasure, Lisa Martin with theCUBE on the ground at wt² from VMware. Thanks for watching. (upbeat music)

>> Narrator: Live from Orlando, Florida. It's theCUBE... covering Accelerate '19. (electronic music) Brought to you by Fortinet. >> Welcome back to theCUBE. We are at Fortinet Accelerate 2019 in Orlando, Florida. I'm Lisa Martin with Peter Burris. We've been here all day talking with Fortinet executives, with partners, really understanding the evolution of cybersecurity and how they are helping customers to combat those challenges to be successful. We're pleased to welcome back to theCUBE alumni John Bove, the VP of North America's channel for Fortinet. John welcome back to the program. >> Thanks for having me, great to see you both again. >> Likewise, so, so much going on today, some news coming out. The keynote this morning started with a lot of electricity around Fortinet's industry leadership, product leadership, there was a lot of growth numbers shared >> John: Yup >> There's also a lot of people here about close to four thousand. >> John: Close to four thousand people, yup. >> And you saying that a good percentage of that is partners, forty countries represented. What are some of the things from your perspective, that you've observed today, in terms of the reaction from the channel to all of this news coming out. >> Yeah so first off, the heritage of this event really was a partner conference going back to its infancy and you know as Fortinet continues to grow and our customer profile continues to you know, move up market, we've now invited customers. So it's really great the synergy that we have. We've got a number of partners with their customers coming to meetings and meeting with executives, and so it's just really fantastic. You know relative to the announcements about the partner program, we've seen really positive feedback. I think the program was introduced about a decade ago and it really was time for a refresh, and so, what we've done is, we want to bring a program to our partner community that, allows them to engage with us in how they see fit, and then we want to build the go to market that's a little bit more in tune with the market that exists here, as we're moving into the year 2020 and beyond. So we're really assimilating a reseller, MMSP and Cloud as types of partner go to markets, and organizing that all underneath the Fortinet partner program umbrella. We'll also be introducing a consultancy track because we want to insure that the assets within the network security expert program are available to those consultants that are working with customers on their journey to the Cloud, for instance, or through this digital transformation. And then finally we're introducing what we're calling a competency focus. So as Fortinet continues to grow as a company there's a number of competencies that we feel if we enable partners appropriately they're going to be able to benefit from. They're going to build a stronger business around the Fortinet Security Fabric. So, we're going to focus on SD-WAN, we're going to focus on Fabric, we're going to focus on Data Center, operational technologies and then S.A.C., because we do think, you know, S.A.C. operations, is an area, that cybersecurity and the number of tool sets are introduced, it's an area that we need to grow into as a company as well. >> Lots going on. >> Lot's going on, yes. >> So as you consider some of the challenges that your partners face, we talked a little bit about this with Patrice, partners, throughout the industry are hurting as they try to transition from a more traditional hardware to whatever's going to be the steady state, >> John: That's right >> with the Cloud and the Edge having such an impact. Education is crucial. You not just get your customers educated about how cybersecurity works, but your partners need to be increasingly educated so they can find those opportunities, niches, stay in business, help you engage, how's that playing out? >> My number one initiative as the channel leader is to drive partner competency and preference. And so, going back to competency, if we can build partner competencies, they're going to build a healthier, more margin rich business around the Security Fabric, which then, selfishly, is going to lead them to delivering more preference around Fortinet. But there's no doubt, it's a changing dynamics. Business models are changing on the fly. We're seeing evolution of VAR to MSP, and MSP to MSSP, and we are laser focused on capitalizing that. Our FortiSIEM technology for instance is, I really view as a Beachhead technology for us to go capitalize that MSP market in the mid-market. I think that the evolution of consumption to more of a consumption model away from a transactional acquisition, also lends itself to new and innovative programs that need to be delivered. In fact with our North American distributors, in the past six months, we've introduced hardware as a service, to reduce, you know, to position things as an operational expense, which may be more in tune with how customers are purchasing today, and we've introduced FortiSIEM for MSSP. The evolution of VAR to a service provider can be very capital intensive, and so one of the things that we've done with our hardware as a service and FortiSIEM for MSSP, we've really tried to reduce the cost of the entry point, and drive more day one margin opportunity for those partners. >> Let me build on that if I may Lisa, so Ken and Mike have done a pretty phenomenal job of steering Fortinet into the future and anticipating some of the big changes that have occurred. You guys have therefore pretty decent visibility into how things are going to play out, and are now large enough that your actually participating in making the future that >> Right >> Everybody else is thinking about. When you introduce a product, I mean, it takes a period of time for your partners to get educated, to up-skill, to really set themselves up to succeed in this dynamic world. Are you introducing educational regimens, competency tests, providing advice and council about the new competencies they're going to need, in anticipation to some of these, some of the roadmap of the, to the future that you see? >> Yeah, so two things I'll touch on there is you know, the NSC program has been wildly successful program for ... >> Peter: No what does NSE stand for? >> Network Security Expert so it's a training course where for a partner and you've got new team members coming on board, the NSE113 really enables them of how to position, you know, Fortinet, and what the challenges are in a network in a cybersecurity environment today. With the elements four through eight being more technical. We've seen over 200,000 certifications being adopted globally, so, I think, part of the visionary capabilities that Michael and Ken have, is they've incorporated the education piece of it, and so carrying that along, and so as we do introduce new products, it's built into the NSE modules. I'll point to one of the most successful things we did in 2018 was called Fast Tracks, and so we've basically taken the NSE content and put it into consumable two hour, hands on, technical labs for our partners and customers. We had a goal in 2018 to hit about a thousand people going through the Fast Track program, we hit over eight thousand people. So, we know that there is a thirst for knowledge out there and the company's done a really good job, through the NSE program, the Network Security Expert Program, through out Network Security Academy Program, and through our Fast Tracks to drive that necessary enablement. >> Peter: That's very exciting. >> Yeah I know absolutely, I mean, it's a fantastic time to be at Fortinet, its a fantastic time to be a Fortinet partner, and I think with the announcements that we made today, we're really trying to set our partners up for success, and help them build a all encompassing business around the Security Fabric. It's a very noisy industry out there. There's a lot of point based solutions that, that lack the integration and really you need an integrated set of solutions in this, you know, expanding digital footprint that customers are faced with. >> So when we talk about education and I'm glad that you guys brought that up, that was a big topic, it was a pillar that Ken talked about, that Patrice talked about as well, it was one of the core pillars that was talked about at the World Economic Forum that was just a couple of months ago. So as we talk about education and educating your partners, I'd like to kind of flip that and ask how are your partners educating you on, these are the trends and concerns and the issues that we're seeing in the market today, to help influence the direction of Fortinet's technology? >> Yup, you know it's funny that you say that, I've been in partner meetings all day today, and it's great I get to spend, I don't think I've ever been this popular and definitely not in high school or college, but in spending time with partners and understanding their challenges it's good to see that our focus on the competency and preference and providing consumption modeling, fits to exactly the challenges that they're faced with, because VARS will tell you that the transition from being a reseller to an MSP can be very, very expensive. And so, with FortiSIEM for MSSP and the as of service offerings, we're reducing that. And so, there are , they're resonating to that. But the other thing is, for the mid-market customer, the Security Fabric alleviates the need for the Cyber skills gap, right? We can't hire fast enough, and so, by depending upon the broad integrated and automated posture that this Fortinet Security Fabric allows, it really allows partners and customers to overcome some of the challenges, just from a head count standpoint. And I think that the NSE program also does a very good job of filling that gap as well. >> So the partner used to mean, these are the, for that group of customers, who our direct sales organization can't make money on, we will give them to partners, or the very, very large, for a very, very large company that's owned by Accenture or owned by Dimension Data, or something like that, >> Yup >> We'll work with them and deliver it. And that kind of middle was kind of lost. But even today, that Loewen, that idea of segmenting purely on the basis of how big they are, is problematic because there's a lot of small companies happening because of this digital transformation they're going to very rapidly grow into some very, very big footprints. >> Absolutely >> So how is that line between what Fortinet does, what the partner does, what the customer does, to achieve these outcomes, starting to shift? >> We're going to be introducing an ecosystem based approach. It's called Partner to Partner Connect, and it is to actually do that very thing. For those partners that may be in the mid-market, that need those expertise, we're going to allow partners to create almost a marketplace of service offerings so they can fill their gaps and they can build meaningful practices, leveraging what Fortinet is doing, but also leveraging somewhat some of our other partners are doing. We're seeing this immediately done with our distribution partners, in North America, and we're going to be introducing the Partner to Partner Connect later this year, and accessible through our Partner Portal. >> And those competencies that are associated with the NSE and the education, then become part of those Partner to Partner brands >> John: Absolutely >> Which makes it easy for those partners to be more trustworthy of whatever accommodations they put together to serve customers. >> Yup, I'll give you an example. So, we're also going to be announcing tomorrow afternoon in our North America breakout session, a Cloud Channel Initiative, and so our goal with this Cloud Channel Initiative, is to allow partners to build meaningful security and networking businesses in the public Cloud. We're going to utilize blueprints for reference architectures, we're going to align with education and certification, and then we're going to guide them through enablement to go to market. That's one of the things also we released this week was the NSE7 for public and private Cloud. So again, as we introduce new technologies and we introduce new opportunities, we're also aligning that to education as well, so the partners can be self service, because the better job a partner does is developing that competency , then the more services rich they're going to be able to deliver to the end customer themselves. >> What are some of your expectations in terms of FY19, I know this is a 20% year on your growth that Fortinet as a company achieved last year, I imagine a good amount of that was driven and influenced by the channel, but as this momentum continues to grow, as we saw this morning, and we've heard throughout this show today, what are some of your expectations about growing the number of partners in the programs that you talked about, like by the end of this year? >> Yes, we recognize, you know, first of all we appreciate our partners so much, and we want to ensure that we are enabling their business we're absolute in active recruitment mode. You know, we're currently going through recruitment and reactivation campaigns with partners that we want or maybe have done business with us before. We see we're coming off of a quarter in which we set a record for the most deal registrations and so that's really the metric in which we look for partner impact. They bring us an opportunity, we give them additional margin and we protect them. So, Q1, fiscal Q1 for us, was our largest deal registration quarter we've ever had. And in 2018 we saw a 52% increase in closed opportunities through our deal registration program. So the impact of the North American Channel is absolutely being felt and we're really excited about the new partner program and what it's going to allow us to do as we expand more into the MSP market, more into the Cloud market, and then hopefully go enable that whole consultancy layer that's out there as well, to help customers on their journey. >> So in terms of your session tomorrow, 'Transforming Your Profitability with Fortinet's Tailor Made Programs,' you mentioned some of the new announcements, what are like the top three take aways that attendees from that session are going to walk away with? >> Well it's going to be, we want to drive partner initiated revenue, we want to do that through competency development, through Widespace account penetration, and through meaningful investments that allow our partners to scale their business. >> Lisa: Lot of momentum, John thank you so much for visiting with Peter and me on theCUBE this afternoon, we can't wait to hear what great news you have next year. >> I look forward to it, thank you both. >> Excellent, our pleasure. For Peter Burris, I'm Lisa Martin, you're watching theCUBE. (electronic music)

>> PA Announcer: Off the plastic tab, and we'll turn on the colors. Welcome to New Orleans. ♪ This is it ♪ ♪ The part when I say I don't want ya ♪ ♪ I'm stronger than I've been before ♪ ♪ This is the part when I set your free ♪ (New Orleans jazz music) ("When the Saints Go Marching In") (rock music) >> PA Announcer: Ladies and gentleman, would you please welcome state of Louisiana chief design officer Matthew Vince and Choice Hotels director of infrastructure services Stacy Nigh. (rock music) >> Well good morning New Orleans, and welcome to my home state. My name is Matt Vince. I'm the chief design office for state of Louisiana. And it's my pleasure to welcome you all to .Next 2018. State of Louisiana is currently re-architecting our cloud infrastructure and Nutanix is the first domino to fall in our strategy to deliver better services to our citizens. >> And I'd like to second that warm welcome. I'm Stacy Nigh director of infrastructure services for Choice Hotels International. Now you may think you know Choice, but we don't own hotels. We're a technology company. And Nutanix is helping us innovate the way we operate to support our franchisees. This is my first visit to New Orleans and my first .Next. >> Well Stacy, you're in for a treat. New Orleans is known for its fabulous food and its marvelous music, but most importantly the free spirit. >> Well I can't wait, and speaking of free, it's my pleasure to introduce the Nutanix Freedom video, enjoy. ♪ I lose everything, so I can sing ♪ ♪ Hallelujah I'm free ♪ ♪ Ah, ah, ♪ ♪ Ah, ah, ♪ ♪ I lose everything, so I can sing ♪ ♪ Hallelujah I'm free ♪ ♪ I lose everything, so I can sing ♪ ♪ Hallelujah I'm free ♪ ♪ I'm free, I'm free, I'm free, I'm free ♪ ♪ Gritting your teeth, you hold onto me ♪ ♪ It's never enough, I'm never complete ♪ ♪ Tell me to prove, expect me to lose ♪ ♪ I push it away, I'm trying to move ♪ ♪ I'm desperate to run, I'm desperate to leave ♪ ♪ If I lose it all, at least I'll be free ♪ ♪ Ah, ah ♪ ♪ Ah, ah ♪ ♪ Hallelujah, I'm free ♪ >> PA Announcer: Ladies and gentlemen, please welcome chief marketing officer Ben Gibson ♪ Ah, ah ♪ ♪ Ah, ah ♪ ♪ Hallelujah, I'm free ♪ >> Welcome, good morning. >> Audience: Good morning. >> And welcome to .Next 2018. There's no better way to open up a .Next conference than by hearing from two of our great customers. And Matthew, thank you for welcoming us to this beautiful, your beautiful state and city. And Stacy, this is your first .Next, and I know she's not alone because guess what It's my first .Next too. And I come properly attired. In the front row, you can see my Nutanix socks, and I think my Nutanix blue suit. And I know I'm not alone. I think over 5,000 people in attendance here today are also first timers at .Next. And if you are here for the first time, it's in the morning, let's get moving. I want you to stand up, so we can officially welcome you into the fold. Everyone stand up, first time. All right, welcome. (audience clapping) So you are all joining not just a conference here. This is truly a community. This is a community of the best and brightest in our industry I will humbly say that are coming together to share best ideas, to learn what's happening next, and in particular it's about forwarding not only your projects and your priorities but your careers. There's so much change happening in this industry. It's an opportunity to learn what's coming down the road and learn how you can best position yourself for this whole new world that's happening around cloud computing and modernizing data center environments. And this is not just a community, this is a movement. And it's a movement that started quite awhile ago, but the first .Next conference was in the quiet little town of Miami, and there was about 800 of you in attendance or so. So who in this hall here were at that first .Next conference in Miami? Let me hear from you. (audience members cheering) Yep, well to all of you grizzled veterans of the .Next experience, welcome back. You have started a movement that has grown and this year across many different .Next conferences all over the world, over 20,000 of your community members have come together. And we like to do it in distributed architecture fashion just like here in Nutanix. And so we've spread this movement all over the world with .Next conferences. And this is surging. We're also seeing just today the current count 61,000 certifications and climbing. Our Next community, close to 70,000 active members of our online community because .Next is about this big moment, and it's about every other day and every other week of the year, how we come together and explore. And my favorite stat of all. Here today in this hall amongst the record 5,500 registrations to .Next 2018 representing 71 countries in whole. So it's a global movement. Everyone, welcome. And you know when I got in Sunday night, I was looking at the tweets and the excitement was starting to build and started to see people like Adile coming from Casablanca. Adile wherever you are, welcome buddy. That's a long trip. Thank you so much for coming and being here with us today. I saw other folks coming from Geneva, from Denmark, from Japan, all over the world coming together for this moment. And we are accomplishing phenomenal things together. Because of your trust in us, and because of some early risk candidly that we have all taken together, we've created a movement in the market around modernizing data center environments, radically simplifying how we operate in the services we deliver to our businesses everyday. And this is a movement that we don't just know about this, but the industry is really taking notice. I love this chart. This is Gartner's inaugural hyperconvergence infrastructure magic quadrant chart. And I think if you see where Nutanix is positioned on there, I think you can agree that's a rout, that's a homerun, that's a mic drop so to speak. What do you guys think? (audience clapping) But here's the thing. It says Nutanix up there. We can honestly say this is a win for this hall here. Because, again, without your trust in us and what we've accomplished together and your partnership with us, we're not there. But we are there, and it is thanks to everyone in this hall. Together we have created, expanded, and truly made this market. Congratulations. And you know what, I think we're just getting started. The same innovation, the same catalyst that we drove into the market to converge storage network compute, the next horizon is around multi-cloud. The next horizon is around whether by accident or on purpose the strong move with different workloads moving into public cloud, some into private cloud moving back and forth, the promise of application mobility, the right workload on the right cloud platform with the right economics. Economics is key here. If any of you have a teenager out there, and they have a hold of your credit card, and they're doing something online or the like. You get some surprises at the end of the month. And that surprise comes in the form of spiraling public cloud costs. And this isn't to say we're not going to see a lot of workloads born and running in public cloud, but the opportunity is for us to take a path that regains control over infrastructure, regain control over workloads and where they're run. And the way I look at it for everyone in this hall, it's a journey we're on. It starts with modernizing those data center environments, continues with embracing the full cloud stack and the compelling opportunity to deliver that consumer experience to rapidly offer up enterprise compute services to your internal clients, lines of businesses and then out into the market. It's then about how you standardize across an enterprise cloud environment, that you're not just the infrastructure but the management, the automation, the control, and running any tier one application. I hear this everyday, and I've heard this a lot already this week about customers who are all in with this approach and running those tier one applications on Nutanix. And then it's the promise of not only hyperconverging infrastructure but hyperconverging multiple clouds. And if we do that, this journey the way we see it what we are doing is building your enterprise cloud. And your enterprise cloud is about the private cloud. It's about expanding and managing and taking back control of how you determine what workload to run where, and to make sure there's strong governance and control. And you're radically simplifying what could be an awfully complicated scenario if you don't reclaim and put your arms around that opportunity. Now how do we do this different than anyone else? And this is going to be a big theme that you're going to see from my good friend Sunil and his good friends on the product team. What are we doing together? We're taking all of that legacy complexity, that friction, that inability to be able to move fast because you're chained to old legacy environments. I'm talking to folks that have applications that are 40 years old, and they are concerned to touch them because they're not sure if they can react if their infrastructure can meet the demands of a new, modernized workload. We're making all that complexity invisible. And if all of that is invisible, it allows you to focus on what's next. And that indeed is the spirit of this conference. So if the what is enterprise cloud, and the how we do it different is by making infrastructure invisible, data centers, clouds, then why are we all here today? What is the binding principle that spiritually, that emotionally brings us all together? And we think it's a very simple, powerful word, and that word is freedom. And when we think about freedom, we think about as we work together the freedom to build the data center that you've always wanted to build. It's about freedom to run the applications where you choose based on the information and the context that wasn't available before. It's about the freedom of choice to choose the right cloud platform for the right application, and again to avoid a lot of these spiraling costs in unanticipated surprises whether it be around security, whether it be around economics or governance that come to the forefront. It's about the freedom to invent. It's why we got into this industry in the first place. We want to create. We want to build things not keep the lights on, not be chained to mundane tasks day by day. And it's about the freedom to play. And I hear this time and time again. My favorite tweet from a Nutanix customer to this day is just updated a lot of nodes at 38,000 feed on United Wifi, on my way to spend vacation with my family. Freedom to play. This to me is emotionally what brings us all together and what you saw with the Freedom video earlier, and what you see here is this new story because we want to go out and spread the word and not only talk about the enterprise cloud, not only talk about how we do it better, but talk about why it's so compelling to be a part of this hall here today. Now just one note of housekeeping for everyone out there in case I don't want anyone to take a wrong turn as they come to this beautiful convention center here today. A lot of freedom going on in this convention center. As luck may have it, there's another conference going on a little bit down that way based on another high growth, disruptive industry. Now MJBizCon Next, and by coincidence it's also called next. And I have to admire the creativity. I have to admire that we do share a, hey, high growth business model here. And in case you're not quite sure what this conference is about. I'm the head of marketing here. I have to show the tagline of this. And I read the tagline from license to launch and beyond, the future of the, now if I can replace that blank with our industry, I don't know, to me it sounds like a new, cool Sunil product launch. Maybe launching a new subscription service or the like. Stay tuned, you never know. I think they're going to have a good time over there. I know we're going to have a wonderful week here both to learn as well as have a lot of fun particularly in our customer appreciation event tonight. I want to spend a very few important moments on .Heart. .Heart is Nutanix's initiative to promote diversity in the technology arena. In particular, we have a focus on advancing the careers of women and young girls that we want to encourage to move into STEM and high tech careers. You have the opportunity to engage this week with this important initiative. Please role the video, and let's learn more about how you can do so. >> Video Plays (electronic music) >> So all of you have received these .Heart tokens. You have the freedom to go and choose which of the four deserving charities can receive donations to really advance our cause. So I thank you for your engagement there. And this community is behind .Heart. And it's a very important one. So thank you for that. .Next is not the community, the moment it is without our wonderful partners. These are our amazing sponsors. Yes, it's about sponsorship. It's also about how we integrate together, how we innovate together, and we're about an open community. And so I want to thank all of these names up here for your wonderful sponsorship of this event. I encourage everyone here in this room to spend time, get acquainted, get reacquainted, learn how we can make wonderful music happen together, wonderful music here in New Orleans happen together. .Next isn't .Next with a few cool surprises. Surprise number one, we have a contest. This is a still shot from the Freedom video you saw right before I came on. We have strategically placed a lucky seven Nutanix Easter eggs in this video. And if you go to Nutanix.com/freedom, watch the video. You may have to use the little scrubbing feature to slow down 'cause some of these happen quickly. You're going to find some fun, clever Easter eggs. List all seven, tweet that out, or as many as you can, tweet that out with hashtag nextconf, C, O, N, F, and we'll have a random drawing for an all expenses paid free trip to .Next 2019. And just to make sure everyone understands Easter egg concept. There's an eighth one here that's actually someone that's quite famous in our circles. If you see on this still shot, there's someone in the back there with a red jacket on. That's not just anyone. We're targeting in here. That is our very own Julie O'Brien, our senior vice president of corporate marketing. And you're going to hear from Julie later on here at .Next. But Julie and her team are the engine and the creativity behind not only our new Freedom campaign but more importantly everything that you experience here this week. Julie and her team are amazing, and we can't wait for you to experience what they've pulled together for you. Another surprise, if you go and visit our Freedom booths and share your stories. So they're like video booths, you share your success stories, your partnerships, your journey that I talked about, you will be entered to win a beautiful Nutanix brand compliant, look at those beautiful colors, bicycle. And it's not just any bicycle. It's a beautiful bicycle made by our beautiful customer Trek. I actually have a Trek bike. I love cycling. Unfortunately, I'm not eligible, but all of you are. So please share your stories in the Freedom Nutanix's booths and put yourself in the running, or in the cycling to get this prize. One more thing I wanted to share here. Yesterday we had a great time. We had our inaugural Nutanix hackathon. This hackathon brought together folks that were in devops practices, many of you that are in this room. We sold out. We thought maybe we'd get four or five teams. We had to shutdown at 14 teams that were paired together with a Nutanix mentor, and you coded. You used our REST APIs. You built new apps that integrated in with Prism and Clam. And it was wonderful to see this. Everyone I talked to had a great time on this. We had three winners. In third place, we had team Copper or team bronze, but team Copper. Silver, Not That Special, they're very humble kind of like one of our key mission statements. And the grand prize winner was We Did It All for the Cookies. And you saw them coming in on our Mardi Gras float here. We Did It All for Cookies, they did this very creative job. They leveraged an Apple Watch. They were lighting up VMs at a moments notice utilizing a lot of their coding skills. Congratulations to all three, first, second, and third all receive $2,500. And then each of them, then were able to choose a charity to deliver another $2,500 including Ronald McDonald House for the winner, we did it all for the McDonald Land cookies, I suppose, to move forward. So look for us to do more of these kinds of events because we want to bring together infrastructure and application development, and this is a great, I think, start for us in this community to be able to do so. With that, who's ready to hear form Dheeraj? You ready to hear from Dheeraj? (audience clapping) I'm ready to hear from Dheeraj, and not just 'cause I work for him. It is my distinct pleasure to welcome on the stage our CEO, cofounder and chairman Dheeraj Pandey. ("Free" by Broods) ♪ Hallelujah, I'm free ♪ >> Thank you Ben and good morning everyone. >> Audience: Good morning. >> Thank you so much for being here. It's just such an elation when I'm thinking about the Mardi Gras crowd that came here, the partners, the customers, the NTCs. I mean there's some great NTCs up there I could relate to because they're on Slack as well. How many of you are in Slack Nutanix internal Slack channel? Probably 5%, would love to actually see this community grow from here 'cause this is not the only even we would love to meet you. We would love to actually do this in a real time bite size communication on our own internal Slack channel itself. Now today, we're going to talk about a lot of things, but a lot of hard things, a lot of things that take time to build and have evolved as the industry itself has evolved. And one of the hard things that I want to talk about is multi-cloud. Multi-cloud is a really hard problem 'cause it's full of paradoxes. It's really about doing things that you believe are opposites of each other. It's about frictionless, but it's also about governance. It's about being simple, and it's also about being secure at the same time. It's about delight, it's about reducing waste, it's about owning, and renting, and finally it's also about core and edge. How do you really make this big at a core data center whether it's public or private? Or how do you really shrink it down to one or two nodes at the edge because that's where your machines are, that's where your people are? So this is a really hard problem. And as you hear from Sunil and the gang there, you'll realize how we've actually evolved our solutions to really cater to some of these. One of the approaches that we have used to really solve some of these hard problems is to have machines do more, and I said a lot of things in those four words, have machines do more. Because if you double-click on that sentence, it really means we're letting design be at the core of this. And how do you really design data centers, how do you really design products for the data center that hush all the escalations, the details, the complexities, use machine-learning and AI and you know figure our anomaly detection and correlations and patter matching? There's a ton of things that you need to do to really have machines do more. But along the way, the important lesson is to make machines invisible because when machines become invisible, it actually makes something else visible. It makes you visible. It makes governance visible. It makes applications visible, and it makes services visible. A lot of things, it makes teams visible, careers visible. So while we're really talking about invisibility of machines, we're talking about visibility of people. And that's how we really brought all of you together in this conference as well because it makes all of us shine including our products, and your careers, and your teams as well. And I try to define the word customer success. You know it's one of the favorite words that I'm actually using. We've just hired a great leader in customer success recently who's really going to focus on this relatively hard problem, yet another hard problem of customer success. We think that customer success, true customer success is possible when we have machines tend towards invisibility. But along the way when we do that, make humans tend towards freedom. So that's the real connection, the yin-yang of machines and humans that Nutanix is really all about. And that's why design is at the core of this company. And when I say design, I mean reducing friction. And it's really about reducing friction. And everything we do, the most mundane of things which could be about migrating applications, spinning up VMs, self-service portals, automatic upgrades, and automatic scale out, and all the things we do is about reducing friction which really makes machines become invisible and humans gain freedom. Now one of the other convictions we have is how all of us are really tied at the hip. You know our success is tied to your success. If we make you successful, and when I say you, I really mean Main Street. Main Street being customers, and partners, and employees. If we make all of you successful, then we automatically become successful. And very coincidentally, Main Street and Wall Street are also tied in that very same relation as well. If we do a great job at Main Street, I think the Wall Street customer, i.e. the investor, will take care of itself. You'll have you know taken care of their success if we took care of Main Street success itself. And that's the narrative that our CFO Dustin Williams actually went and painted to our Wall Street investors two months ago at our investor day conference. We talked about a $3 billion number. We said look as a company, as a software company, we can go and achieve $3 billion in billings three years from now. And it was a telling moment for the company. It was really about talking about where we could be three years from now. But it was not based on a hunch. It was based on what we thought was customer success. Now realize that $3 billion in pure software. There's only 10 to 15 companies in the world that actually have that kind of software billings number itself. But at the core of this confidence was customer success, was the fact that we were doing a really good job of not over promising and under delivering but under promising starting with small systems and growing the trust of the customers over time. And this is one of the statistics we actually talk about is repeat business. The first dollar that a Global 2000 customer spends in Nutanix, and if we go and increase their trust 15 times by year six, and we hope to actually get 17 1/2 and 19 times more trust in the years seven and eight. It's very similar numbers for non Global 2000 as well. Again, we go and really hustle for customer success, start small, have you not worry about paying millions of dollars upfront. You know start with systems that pay as they grow, you pay as they grow, and that's the way we gain trust. We have the same non Global 2000 pay $6 1/2 for the first dollar they've actually spent on us. And with this, I think the most telling moment was when Dustin concluded. And this is key to this audience here as well. Is how the current cohorts which is this audience here and many of them were not here will actually carry the weight of $3 billion, more than 50% of it if we did a great job of customer success. If we were humble and honest and we really figured out what it meant to take care of you, and if we really understood what starting small was and having to gain the trust with you over time, we think that more than 50% of that billings will actually come from this audience here without even looking at new logos outside. So that's the trust of customer success for us, and it takes care of pretty much every customer not just the Main Street customer. It takes care of Wall Street customer. It takes care of employees. It takes care of partners as well. Now before I talk about technology and products, I want to take a step back 'cause many of you are new in this audience. And I think that it behooves us to really talk about the history of this company. Like we've done a lot of things that started out as science projects. In fact, I see some tweets out there and people actually laugh at Nutanix cloud. And this is where we were in 2012. So if you take a step back and think about where the company was almost seven, eight years ago, we were up against giants. There was a $30 billion industry around network attached storage, and storage area networks and blade servers, and hypervisors, and systems management software and so on. So what did we start out with? Very simple premise that we will collapse the architecture of the data center because three tier is wasteful and three tier is not delightful. It was a very simple hunch, we said we'll take rack mount servers, we'll put a layer of software on top of it, and that layer of software back then only did storage. It didn't do networks and security, and it ran on top of a well known hypervisor from VMware. And we said there's one non negotiable thing. The fact that the design must change. The control plane for this data center cannot be the old control plane. It has to be rethought through, and that's why Prism came about. Now we went and hustled hard to add more things to it. We said we need to make this diverse because it can't just be for one application. We need to make it CPU heavy, and memory heavy, and storage heavy, and flash heavy and so on. And we built a highly configurable HCI. Now all of them are actually configurable as you know of today. And this was not just innovation in technologies, it was innovation in business and sizing, capacity planning, quote to cash business processes. A lot of stuff that we had to do to make this highly configurable, so you can really scale capacity and performance independent of each other. Then in 2014, we did something that was very counterintuitive, but we've done this on, and on, and on again. People said why are you disrupting yourself? You know you've been doing a good job of shipping appliances, but we also had the conviction that HCI was not about hardware. It was about a form factor, but it was really about an operating system. And we started to compete with ourselves when we said you know what we'll do arm's length distribution, we'll do arm's length delivery of products when we give our software to our Dell partner, to Dell as a partner, a loyal partner. But at the same time, it was actually seen with a lot of skepticism. You know these guys are wondering how to really make themselves vanish because they're competing with themselves. But we also knew that if we didn't compete with ourselves someone else will. Now one of the most controversial decisions was really going and doing yet another hypervisor. In the year 2015, it was really preposterous to build yet another hypervisor. It was a very mature market. This was coming probably 15 years too late to the market, or at least 10 years too late to market. And most people said it shouldn't be done because hypervisor is a commodity. And that's the word we latched on to. That this commodity should not have to be paid for. It shouldn't have a team of people managing it. It should actually be part of your overall stack, but it should be invisible. Just like storage needs to be invisible, virtualization needs to be invisible. But it was a bold step, and I think you know at least when we look at our current numbers, 1/3rd of our customers are actually using AHV. At least every quarter that we look at it, our new deployments, at least 35% of it is actually being used on AHV itself. And again, a very preposterous thing to have said five years ago, four years ago to where we've actually come. Thank you so much for all of you who've believed in the fact that virtualization software must be invisible and therefore we should actually try out something that is called AHV today. Now we went and added Lenovo to our OEM mix, started to become even more of a software company in the year 2016. Went and added HP and Cisco in some of very large deals that we talk about in earnings call, our HP deals and Cisco deals. And some very large customers who have procured ELAs from us, enterprise license agreements from us where they want to mix and match hardware. They want to mix Dell hardware with HP hardware but have common standard Nutanix entitlements. And finally, I think this was another one of those moments where we say why should HCI be only limited to X86. You know this operating systems deserves to run on a non X86 architecture as well. And that gave birth to this idea of HCI and Power Systems from IBM. And we've done a great job of really innovating with them in the last three, four quarters. Some amazing innovation that has come out where you can now run AIX 7.x on Nutanix. And for the first time in the history of data center, you can actually have a single software not just a data plane but a control plane where you can manage an IBM farm, an Power farm, and open Power farm and an X86 farm from the same control plane and have you know the IBM farm feed storage to an Intel compute farm and vice versa. So really good things that we've actually done. Now along the way, something else was going on while we were really busy building the private cloud, we knew there was a new consumption model on computing itself. People were renting computing using credit cards. This is the era of the millennials. They were like really want to bypass people because at the end of the day, you know why can't computing be consumed the way like eCommerce is? And that devops movement made us realize that we need to add to our stack. That stack will now have other computing clouds that is AWS and Azure and GCP now. So similar to the way we did Prism. You know Prism was really about going and making hypervisors invisible. You know we went ahead and said we'll add Calm to our portfolio because Calm is now going to be what Prism was to us back when we were really dealing with multi hypervisor world. Now it's going to be multi-cloud world. You know it's one of those things we had a gut around, and we really come to expect a lot of feedback and real innovation. I mean yesterday when we had the hackathon. The center, the epicenter of the discussion was Calm, was how do you automate on multiple clouds without having to write a single line of code? So we've come a long way since the acquisition of Calm two years ago. I think it's going to be a strong pillar in our overall product portfolio itself. Now the word multi-cloud is going to be used and over used. In fact, it's going to be blurring its lines with the idea of hyperconvergence of clouds, you know what does it mean. We just hope that hyperconvergence, the way it's called today will morph to become hyperconverged clouds not just hyperconverged boxes which is a software defined infrastructure definition itself. But let's focus on the why of multi-cloud. Why do we think it can't all go into a public cloud itself? The one big reason is just laws of the land. There's data sovereignty and computing sovereignty, regulations and compliance because of which you need to be in where the government with the regulations where the compliance rules want you to be. And by the way, that's just one reason why the cloud will have to disperse itself. It can't just be 10, 20 large data centers around the world itself because you have 200 plus countries and half of computing actually gets done outside the US itself. So it's a really important, very relevant point about the why of multi-cloud. The second one is just simple laws of physics. You know if there're machines at the edge, and they're producing so much data, you can't bring all the data to the compute. You have to take the compute which is stateless, it's an app. You take the app to where the data is because the network is the enemy. The network has always been the enemy. And when we thought we've made fatter networks, you've just produced more data as well. So this just goes without saying that you take something that's stateless that's without gravity, that's lightweight which is compute and the application and push it close to where the data itself is. And the third one which is related is just latency reasons you know? And it's not just about machine latency and electrons transferring over the speed light, and you can't defy the speed of light. It's also about human latency. It's also about multiple teams saying we need to federate and delegate, and we need to push things down to where the teams are as opposed to having to expect everybody to come to a very large computing power itself. So all the ways, the way they are, there will be at least three different ways of looking at multi-cloud itself. There's a centralized core cloud. We all go and relate to this because we've seen large data centers and so on. And that's the back office workhorse. It will crunch numbers. It will do processing. It will do a ton of things that will go and produce results for you know how we run our businesses, but there's also the dispersal of the cloud, so ROBO cloud. And this is the front office server that's really serving. It's a cloud that's going to serve people. It's going to be closer to people, and that's what a ROBO cloud is. We have a ton of customers out here who actually use Nutanix and the ROBO environments themselves as one node, two node, three node, five node servers, and it just collapses the entire server closet room in these ROBOs into something really, really small and minuscule. And finally, there's going to be another dispersed edge cloud because that's where the machines are, that's where the data is. And there's going to be an IOT machine fog because we need to miniaturize computing to something even smaller, maybe something that can really land in the palm in a mini server which is a PC like server, but you need to run everything that's enterprise grade. You should be able to go and upgrade them and monitor them and analyze them. You know do enough computing up there, maybe event-based processing that can actually happen. In fact, there's some great innovation that we've done at the edge with IOTs that I'd love for all of you to actually attend some sessions around as well. So with that being said, we have a hole in the stack. And that hole is probably one of the hardest problems that we've been trying to solve for the last two years. And Sunil will talk a lot about that. This idea of hybrid. The hybrid of multi-cloud is one of the hardest problems. Why? Because we're talking about really blurring the lines with owning and renting where you have a single-tenant environment which is your data center, and a multi-tenant environment which is the service providers data center, and the two must look like the same. And the two must look like the same is that hard a problem not just for burst out capacity, not just for security, not just for identity but also for networks. Like how do you blur the lines between networks? How do you blur the lines for storage? How do you really blur the lines for a single pane of glass where you can think of availability zones that look highly symmetric even though they're not because one of 'em is owned by you, and it's single-tenant. The other one is not owned by you, that's multi-tenant itself. So there's some really hard problems in hybrid that you'll hear Sunil talk about and the team. And some great strides that we've actually made in the last 12 months of really working on Xi itself. And that completes the picture now in terms of how we believe the state of computing will be going forward. So what are the must haves of a multi-cloud operating system? We talked about marketplace which is catalogs and automation. There's a ton of orchestration that needs to be done for multi-cloud to come together because now you have a self-service portal which is providing an eCommerce view. It's really about you know getting to do a lot of requests and workflows without having people come in the way, without even having tickets. There's no need for tickets if you can really start to think like a self-service portal as if you're just transacting eCommerce with machines and portals themselves. Obviously the next one is networking security. You need to blur the lines between on-prem and off-prem itself. These two play a huge role. And there's going to be a ton of details that you'll see Sunil talk about. But finally, what I want to focus on the rest of the talk itself here is what governance and compliance. This is a hard problem, and it's a hard problem because things have evolved. So I'm going to take a step back. Last 30 years of computing, how have consumption models changed? So think about it. 30 years ago, we were making decisions for 10 plus years, you know? Mainframe, at least 10 years, probably 20 plus years worth of decisions. These were decisions that were extremely waterfall-ish. Make 10s of millions of dollars worth of investment for a device that we'd buy for at least 10 to 20 years. Now as we moved to client-server, that thing actually shrunk. Now you're talking about five years worth of decisions, and these things were smaller. So there's a little bit more velocity in our decisions. We were not making as waterfall-ish decision as we used to with mainframes. But still five years, talk about virtualized, three tier, maybe three to five year decisions. You know they're still relatively big decisions that we were making with computer and storage and SAN fabrics and virtualization software and systems management software and so on. And here comes Nutanix, and we said no, no. We need to make it smaller. It has to become smaller because you know we need to make more agile decisions. We need to add machines every week, every month as opposed to adding you know machines every three to five years. And we need to be able to upgrade them, you know any point in time. You can do the upgrades every month if you had to, every week if you had to and so on. So really about more agility. And yet, we were not complete because there's another evolution going on, off-prem in the public cloud where people are going and doing reserved instances. But more than that, they were doing on demand stuff which no the decision was days to weeks. Some of these things that unitive compute was being rented for days to weeks, not years. And if you needed something more, you'd shift a little to the left and use reserved instances. And then spot pricing, you could do spot pricing for hours and finally lambda functions. Now you could to function as a service where things could actually be running only for minutes not even hours. So as you can see, there's a wide spectrum where when you move to the right, you get more elasticity, and when you move to the left, you're talking about predictable decision making. And in fact, it goes from minutes on one side to 10s of years on the other itself. And we hope to actually go and blur the lines between where NTNX is today where you see Nutanix right now to where we really want to be with reserved instances and on demand. And that's the real ask of Nutanix. How do you take care of this discontinuity? Because when you're owning things, you actually end up here, and when you're renting things, you end up here. What does it mean to really blur the lines between these two because people do want to make decisions that are better than reserved instance in the public cloud. We'll talk about why reserved instances which looks like a proxy for Nutanix it's still very, very wasteful even though you might think it's delightful, it's very, very wasteful. So what does it mean for on-prem and off-prem? You know you talk about cost governance, there's security compliance. These high velocity decisions we're actually making you know where sometimes you could be right with cost but wrong on security, but sometimes you could be right in security but wrong on cost. We need to really figure out how machines make some of these decisions for us, how software helps us decide do we have the right balance between cost, governance, and security compliance itself? And to get it right, we have introduced our first SAS service called Beam. And to talk more about Beam, I want to introduce Vijay Rayapati who's the general manager of Beam engineering to come up on stage and talk about Beam itself. Thank you Vijay. (rock music) So you've been here a couple of months now? >> Yes. >> At the same time, you spent the last seven, eight years really handling AWS. Tell us more about it. >> Yeah so we spent a lot of time trying to understand the last five years at Minjar you know how customers are really consuming in this new world for their workloads. So essentially what we tried to do is understand the consumption models, workload patterns, and also build algorithms and apply intelligence to say how can we lower this cost and you know improve compliance of their workloads.? And now with Nutanix what we're trying to do is how can we converge this consumption, right? Because what happens here is most customers start with on demand kind of consumption thinking it's really easy, but the total cost of ownership is so high as the workload elasticity increases, people go towards spot or a scaling, but then you need a lot more automation that something like Calm can help them. But predictability of the workload increases, then you need to move towards reserved instances, right to lower costs. >> And those are some of the things that you go and advise with some of the software that you folks have actually written. >> But there's a lot of waste even in the reserved instances because what happens it while customers make these commitments for a year or three years, what we see across, like we track a billion dollars in public cloud consumption you know as a Beam, and customers use 20%, 25% of utilization of their commitments, right? So how can you really apply, take the data of consumption you know apply intelligence to essentially reduce their you know overall cost of ownership. >> You said something that's very telling. You said reserved instances even though they're supposed to save are still only 20%, 25% utilized. >> Yes, because the workloads are very dynamic. And the next thing is you can't do hot add CPU or hot add memory because you're buying them for peak capacity. There is no convergence of scaling that apart from the scaling as another node. >> So you actually sized it for peak, but then using 20%, 30%, you're still paying for the peak. >> That's right. >> Dheeraj: That can actually add up. >> That's what we're trying to say. How can we deliver visibility across clouds? You know how can we deliver optimization across clouds and consumption models and bring the control while retaining that agility and demand elasticity? >> That's great. So you want to show us something? >> Yeah absolutely. So this is Beam as just Dheeraj outlined, our first SAS service. And this is my first .Next. And you know glad to be here. So what you see here is a global consumption you know for a business across different clouds. Whether that's in a public cloud like Amazon, or Azure, or Nutanix. We kind of bring the consumption together for the month, the recent month across your accounts and services and apply intelligence to say you know what is your spent efficiency across these clouds? Essentially there's a lot of intelligence that goes in to detect your workloads and consumption model to say if you're spending $100, how efficiently are you spending? How can you increase that? >> So you have a centralized view where you're looking at multiple clouds, and you know you talk about maybe you can take an example of an account and start looking at it? >> Yes, let's go into a cloud provider like you know for this business, let's go and take a loot at what's happening inside an Amazon cloud. Here we get into the deeper details of what's happening with the consumption of a specific services as well as the utilization of both on demand and RI. You know what can you do to lower your cost and detect your spend efficiency of a dollar to see you know are there resources that are provisioned by teams for applications that are not being used, or are there resources that we should go and rightsize because you know we have all this monitoring data, configuration data that we crunch through to basically detect this? >> You think there's billions of events that you look at everyday. You're already looking at a billon dollars worth of AWS spend. >> Right, right. >> So billions of events, billing, metering events every year to really figure out and optimize for them. >> So what we have here is a very popular international government organization. >> Dheeraj: Wow, so it looks like Russians are everywhere, the cloud is everywhere actually. >> Yes, it's quite popular. So when you bring your master account into Beam, we kind of detect all the linked accounts you know under that. Then you can go and take a look at not just at the organization level within it an account level. >> So these are child objects, you know. >> That's right. >> You can think of them as ephemeral accounts that you create because you don't want to be on the record when you're doing spams on Facebook for example. >> Right, let's go and take a look at what's happening inside a Facebook ad spend account. So we have you know consumption of the services. Let's go deeper into compute consumption, and you kind of see a trendline. You can do a lot of computing. As you see, looks like one campaign has ended. They started another campaign. >> Dheeraj: It looks like they're not stopping yet, man. There's a lot of money being made in Facebook right now. (Vijay laughing) >> So not only just get visibility at you know compute as a service inside a cloud provider, you can go deeper inside compute and say you know what is a service that I'm really consuming inside compute along with the CPUs n'stuff, right? What is my data transfer? You know what is my network? What is my load blancers? So essentially you get a very deeper visibility you know as a service right. Because we have three goals for Beam. How can we deliver visibility across clouds? How can we deliver visibility across services? And how can we deliver, then optimization? >> Well I think one thing that I just want to point out is how this SAS application was an extremely teachable moment for me to learn about the different resources that people could use about the public cloud. So all of you who actually have not gone deep enough into the idea of public cloud. This could be a great app for you to learn about things, the resources, you know things that you could do to save and security and things of that nature. >> Yeah. And we really believe in creating the single pane view you know to mange your optimization of a public cloud. You know as Ben spoke about as a business, you need to have freedom to use any cloud. And that's what Beam delivers. How can you make the right decision for the right workload to use any of the cloud of your choice? >> Dheeraj: How 'about databases? You talked about compute as well but are there other things we could look at? >> Vijay: Yes, let's go and take a look at database consumption. What you see here is they're using inside Facebook ad spending, they're using all databases except Oracle. >> Dheeraj: Wow, looks like Oracle sales folks have been active in Russia as well. (Vijay laughing) >> So what we're seeing here is a global view of you know what is your spend efficiency and which is kind of a scorecard for your business for the dollars that you're spending. And the great thing is Beam kind of brings together you know through its intelligence and algorithms to detect you know how can you rightsize resources and how can you eliminate things that you're not using? And we deliver and one click fix, right? Let's go and take a look at resources that are maybe provisioned for storage and not being used. We deliver the seamless one-click philosophy that Nutanix has to eliminate it. >> So one click, you can actually just pick some of these wasteful things that might be looking delightful because using public cloud, using credit cards, you can go in and just say click fix, and it takes care of things. >> Yeah, and not only remove the resources that are unused, but it can go and rightsize resources across your compute databases, load balancers, even past services, right? And this is where the power of it kind of comes for a business whether you're using on-prem and off-prem. You know how can you really converge that consumption across both? >> Dheeraj: So do you have something for Nutanix too? >> Vijay: Yes, so we have basically been working on Nutanix with something that we're going to deliver you know later this year. As you can see here, we're bringing together the consumption for the Nutanix, you know the services that you're using, the licensing and capacity that is available. And how can you also go and optimize within Nutanix environments >> That's great. >> for the next workload. Now let me quickly show you what we have on the compliance side. This is an extremely powerful thing that we've been working on for many years. What we deliver here just like in cost governance, a global view of your compliance across cloud providers. And the most powerful thing is you can go into a cloud provider, get the next level of visibility across cloud regimes for hundreds of policies. Not just policies but those policies across different regulatory compliances like HIPA, PCI, CAS. And that's very powerful because-- >> So you're saying a lot of what you folks have done is codified these compliance checks in software to make sure that people can sleep better at night knowing that it's PCI, and HIPA, and all that compliance actually comes together? >> And you can build this not just by cloud accounts, you can build them across cloud accounts which is what we call security centers. Essentially you can go and take a deeper look at you know the things. We do a whole full body scan for your cloud infrastructure whether it's AWS Amazon or Azure, and you can go and now, again, click to fix things. You know that had been probably provisioned that are violating the security compliance rules that should be there. Again, we have the same one-click philosophy to say how can you really remove things. >> So again, similar to save, you're saying you can go and fix some of these security issues by just doing one click. >> Absolutely. So the idea is how can we give our people the freedom to get visibility and use the right cloud and take the decisions instantly through one click. That's what Beam delivers you know today. And you know get really excited, and it's available at beam.nutanix.com. >> Our first SAS service, ladies and gentleman. Thank you so much for doing this, Vijay. It looks like there's going to be a talk here at 10:30. You'll talk more about the midterm elections there probably? >> Yes, so you can go and write your own security compliances as well. You know within Beam, and a lot of powerful things you can do. >> Awesome, thank you so much, Vijay. I really appreciate it. (audience clapping) So as you see, there's a lot of work that we're doing to really make multi-cloud which is a hard problem. You know think about working the whole body of it and what about cost governance? What about security compliance? Obviously what about hybrid networks, and security, and storage, you know compute, many of the things that you've actually heard from us, but we're taking it to a level where the business users can now understand the implications. A CFO's office can understand the implications of waste and delight. So what does customer success mean to us? You know again, my favorite word in a long, long time is really go and figure out how do you make you, the customer, become operationally efficient. You know there's a lot of stuff that we deliver through software that's completely uncovered. It's so latent, you don't even know you have it, but you've paid for it. So you've got to figure out what does it mean for you to really become operationally efficient, organizationally proficient. And it's really important for training, education, stuff that you know you're people might think it's so awkward to do in Nutanix, but it could've been way simpler if you just told you a place where you can go and read about it. Of course, I can just use one click here as opposed to doing things the old way. But most importantly to make it financially accountable. So the end in all this is, again, one of the things that I think about all the time in building this company because obviously there's a lot of stuff that we want to do to create orphans, you know things above the line and top line and everything else. There's also a bottom line. Delight and waste are two sides of the same coin. You know when we're talking about developers who seek delight with public cloud at the same time you're looking at IT folks who're trying to figure out governance. They're like look you know the CFOs office, the CIOs office, they're trying to figure out how to curb waste. These two things have to go hand in hand in this era of multi-cloud where we're talking about frictionless consumption but also governance that looks invisible. So I think, at the end of the day, this company will do a lot of stuff around one-click delight but also go and figure out how do you reduce waste because there's so much waste including folks there who actually own Nutanix. There's so much software entitlement. There's so much waste in the public cloud itself that if we don't go and put our arms around, it will not lead to customer success. So to talk more about this, the idea of delight and the idea of waste, I'd like to bring on board a person who I think you know many of you actually have talked about it have delightful hair but probably wasted jokes. But I think has wasted hair and delightful jokes. So ladies and gentlemen, you make the call. You're the jury. Sunil R.M.J. Potti. ("Free" by Broods) >> So that was the first time I came out from the bottom of a screen on a stage. I actually now know what it feels to be like a gopher. Who's that laughing loudly at the back? Okay, do we have the... Let's see. Okay, great. We're about 15 minutes late, so that means we're running right on time. That's normally how we roll at this conference. And we have about three customers and four demos. Like I think there's about three plus six, about nine folks coming onstage. So we'll have our own version of the parade as well on the main stage for the next 70 minutes. So let's just jump right into it. I think we've been pretty consistent in terms of our longterm plans since we started the company. And it's become a lot more clearer over the last few years about our plans to essentially make computing invisible as Dheeraj mentioned. We're doing this across multiple acts. We started with HCI. We call it making infrastructure invisible. We extended that to making data centers invisible. And then now we're in this mode of essentially extending it to converging clouds so that you can actually converge your consumption models. And so today's conference and essentially the theme that you're going to be seeing throughout the breakout sessions is about a journey towards invisible clouds, but make sure that you internalize the fact that we're investing heavily in each of the three phases. It's just not about the hybrid cloud with Nutanix, it's about actually finishing the job about making infrastructure invisible, expanding that to kind of go after the full data center, and then of course embark on some real meaningful things around invisible clouds, okay? And to start the session, I think you know the part that I wanted to make sure that we are all on the same page because most of us in the room are still probably in this phase of the journey which is about invisible infrastructure. And there the three key products and especially two of them that most of you guys know are Acropolis and Prism. And they're sort of like the bedrock of our company. You know especially Acropolis which is about the web scale architecture. Prism is about consumer grade design. And with Acropolis now being really mature. It's in the seventh year of innovation. We still have more than half of our company in terms of R and D spend still on Acropolis and Prism. So our core product is still sort of where we think we have a significant differentiation on. We're not going to let our foot off the peddle there. You know every time somebody comes to me and says look there's a new HCI render popping out or an existing HCI render out there, I ask a simple question to our customers saying show me 100 customers with 100 node deployments, and it will be very hard to find any other render out there that does the same thing. And that's the power of Acropolis the code platform. And then it's you know the fact that the velocity associated with Acropolis continues to be on a fast pace. We came out with various new capabilities in 5.5 and 5.6, and one of the most complicated things to get right was the fact to shrink our three node cluster to a one node, two node deployment. Most of you actually had requirements on remote office, branch office, or the edge that actually allowed us to kind of give us you know sort of like the impetus to kind of go design some new capabilities into our core OS to get this out. And associated with Acropolis and expanding into Prism, as you will see, the first couple of years of Prism was all about refactoring the user interface, doing a good job with automation. But more and more of the investments around Prism is going to be based on machine learning. And you've seen some variants of that over the last 12 months, and I can tell you that in the next 12 to 24 months, most of our investments around infrastructure operations are going to be driven by AI techniques starting with most of our R and D spend also going into machine-learning algorithms. So when you talk about all the enhancements that have come on with Prism whether it be formed by you know the management console changing to become much more automated, whether now we give you automatic rightsizing, anomaly detection, or a series of functionality that have gone into it, the real core sort of capabilities that we're putting into Prism and Acropolis are probably best served by looking at the quality of the product. You probably have seen this slide before. We started showing the number of nodes shipped by Nutanix two years ago at this conference. It was about 35,000 plus nodes at that time. And since then, obviously we've you know continued to grow. And we would draw this line which was about enterprise class quality. That for the number of bugs found as a percentage of nodes shipped, there's a certain line that's drawn. World class companies do about probably 2% to 3%, number of CFDs per node shipped. And we were just broken that number two years ago. And to give you guys an idea of how that curve has shown up, it's now currently at .95%. And so along with velocity, you know this focus on being true to our roots of reliability and stability continues to be, you know it's an internal challenge, but it's also some of the things that we keep a real focus on. And so between Acropolis and Prism, that's sort of like our core focus areas to sort of give us the confidence that look we have this really high bar that we're sort of keeping ourselves accountable to which is about being the most advanced enterprise cloud OS on the planet. And we will keep it this way for the next 10 years. And to complement that, over a period of time of course, we've added a series of services. So these are services not just for VMs but also for files, blocks, containers, but all being delivered in that single one-click operations fashion. And to really talk more about it, and actually probably to show you the real deal there it's my great pleasure to call our own version of Moses inside the company, most of you guys know him as Steve Poitras. Come on up, Steve. (audience clapping) (rock music) >> Thanks Sunil. >> You barely fit in that door, man. Okay, so what are we going to talk about today, Steve? >> Absolutely. So when we think about when Nutanix first got started, it was really focused around VDI deployments, smaller workloads. However over time as we've evolved the product, added additional capabilities and features, that's grown from VDI to business critical applications as well as cloud native apps. So let's go ahead and take a look. >> Sunil: And we'll start with like Oracle? >> Yeah, that's one of the key ones. So here we can see our Prism central user interface, and we can see our Thor cluster obviously speaking to the Avengers theme here. We can see this is doing right around 400,000 IOPs at around 360 microseconds latency. Now obviously Prism central allows you to mange all of your Nutanix deployments, but this is just running on one single Nutanix cluster. So if we hop over here to our explore tab, we can see we have a few categories. We have some Kubernetes, some AFS, some Xen desktop as well as Oracle RAC. Now if we hope over to Oracle RAC, we're running a SLOB workload here. So obviously with Oracle enterprise applications performance, consistency, and extremely low latency are very critical. So with this SLOB workload, we're running right around 300 microseconds of latency. >> Sunil: So this is what, how many node Oracle RAC cluster is this? >> Steve: This is a six node Oracle RAC deployment. >> Sunil: Got it. And so what has gone into the product in recent releases to kind of make this happen? >> Yeah so obviously on the hardware front, there's been a lot of evolutions in storage mediums. So with the introduction of NVME, persistent memory technologies like 3D XPoint, that's meant storage media has become a lot faster. Now to allow you to full take advantage of that, that's where we've had to do a lot of optimizations within the storage stack. So with AHV, we have what we call AHV turbo mode which allows you to full take advantage of those faster storage mediums at that much lower latency. And then obviously on the networking front, technologies such as RDMA can be leveraged to optimize that network stack. >> Got it. So that was Oracle RAC running on a you know Nutanix cluster. It used to be a big deal a couple of years ago. Now we've got many customers doing that. On the same environment though, we're going to show you is the advent of actually putting file services in the same scale out environment. And you know many of you in the audience probably know about AFS. We released it about 12 to 14 months ago. It's been one of our most popular new products of all time within Nutanix's history. And we had SMB support was for user file shares, VDI deployments, and it took awhile to bake, to get to scale and reliability. And then in the last release, in the recent release that we just shipped, we now added NFS for support so that we can no go after the full scale file server consolidation. So let's take a look at some of that stuff. >> Yep, let's do it. So hopping back over to Prism, we can see our four cluster here. Overall cluster-wide latency right around 360 microseconds. Now we'll hop down to our file server section. So here we can see we have our Next A File Server hosting right about 16.2 million files. Now if you look at our shares and exports, we can see we have a mix of different shares. So one of the shares that you see there is home directories. This is an SMB share which is actually mapped and being leveraged by our VDI desktops for home folders, user profiles, things of that nature. We can also see this Oracle backup share here which is exposed to our rack host via NFS. So RMAN is actually leveraging this to provide native database backups. >> Got it. So Oracle VMs, backup using files, or for any other file share requirements with AFS. Do we have the cluster also showing, I know, so I saw some Kubernetes as well on it. Let's talk about what we're thinking of doing there. >> Yep, let's do it. So if we think about cloud, cloud's obviously a big buzz word, so is containers in Kubernetes. So with ACS 1.0 what we did is we introduced native support for Docker integration. >> And pause there. And we screwed up. (laughing) So just like the market took a left turn on Kubernetes, obviously we realized that, and now we're working on ACS 2.0 which is what we're going to talk about, right? >> Exactly. So with ACS 2.0, we've introduced native Kubernetes support. Now when I think about Kubernetes, there's really two core areas that come to mind. The first one is around native integration. So with that, we have our Kubernetes volume integration, we're obviously doing a lot of work on the networking front, and we'll continue to push there from an integration point of view. Now the other piece is around the actual deployment of Kubernetes. When we think about a lot of Nutanix administrators or IT admins, they may have never deployed Kubernetes before, so this could be a very daunting task. And true to the Nutanix nature, we not only want to make our platform simple and intuitive, we also want to do this for any ecosystem products. So with ACS 2.0, we've simplified the full Kubernetes deployment and switching over to our ACS two interface, we can see this create cluster button. Now this actually pops up a full wizard. This wizard will actually walk you through the full deployment process, gather the necessary inputs for you, and in a matter of a few clicks and a few minutes, we have a full Kubernetes deployment fully provisioned, the masters, the workers, all the networking fully done for you, very simple and intuitive. Now if we hop back over to Prism, we can see we have this ACS2 Kubernetes category. Clicking on that, we can see we have eight instances of virtual machines. And here are Kubernetes virtual machines which have actually been deployed as part of this ACS2 installer. Now one of the nice things is it makes the IT administrator's job very simple and easy to do. The deployment straightforward monitoring and management very straightforward and simple. Now for the developer, the application architect, or engineers, they interface and interact with Kubernetes just like they would traditionally on any platform. >> Got it. So the goal of ACS is to ensure that the developer ecosystem still uses whatever tools that they are you know preferring while at that same time allowing this consolidation of containers along with VMs all on that same, single runtime, right? So that's ACS. And then if you think about where the OS is going, there's still some open space at the end. And open space has always been look if you just look at a public cloud, you look at blocks, files, containers, the most obvious sort of storage function that's left is objects. And that's the last horizon for us in completing the storage stack. And we're going to show you for the first time a preview of an upcoming product called the Acropolis Object Storage Services Stack. So let's talk a little bit about it and then maybe show the demo. >> Yeah, so just like we provided file services with AFS, block services with ABS, with OSS or Object Storage Services, we provide native object storage, compatibility and capability within the Nutanix platform. Now this provides a very simply common S3 API. So any integrations you've done with S3 especially Kubernetes, you can actually leverage that out of the box when you've deployed this. Now if we hop back over to Prism, I'll go here to my object stores menu. And here we can see we have two existing object storage instances which are running. So you can deploy however many of these as you wanted to. Now just like the Kubernetes deployment, deploying a new object instance is very simple and easy to do. So here I'll actually name this instance Thor's Hammer. >> You do know he loses it, right? He hasn't seen the movies yet. >> Yeah, I don't want any spoilers yet. So once we specified the name, we can choose our capacity. So here we'll just specify a large instance or type. Obviously this could be any amount or storage. So if you have a 200 node Nutanix cluster with petabytes worth of data, you could do that as well. Once we've selected that, we'll select our expected performance. And this is going to be the number of concurrent gets and puts. So essentially how many operations per second we want this instance to be able to facilitate. Once we've done that, the platform will actually automatically determine how many virtual machines it needs to deploy as well as the resources and specs for those. And once we've done that, we'll go ahead and click save. Now here we can see it's actually going through doing the deployment of the virtual machines, applying any necessary configuration, and in the matter of a few clicks and a few seconds, we actually have this Thor's Hammer object storage instance which is up and running. Now if we hop over to one of our existing object storage instances, we can see this has three buckets. So one for Kafka-queue, I'm actually using this for my Kafka cluster where I have right around 62 million objects all storing ProtoBus. The second one there is Spark. So I actually have a Spark cluster running on our Kubernetes deployed instance via ACS 2.0. Now this is doing analytics on top of this data using S3 as a storage backend. Now for these objects, we support native versioning, native object encryption as well as worm compliancy. So if you want to have expiry periods, retention intervals, that sort of thing, we can do all that. >> Got it. So essentially what we've just shown you is with upcoming objects as well that the same OS can now support VMs, files, objects, containers, all on the same one click operational fabric. And so that's in some way the real power of Nutanix is to still keep that consistency, scalability in place as we're covering each and every workload inside the enterprise. So before Steve gets off stage though, I wanted to talk to you guys a little bit about something that you know how many of you been to our Nutanix headquarters in San Jose, California? A few. I know there's like, I don't know, 4,000 or 5,000 people here. If you do come to the office, you know when you land in San Jose Airport on the way to longterm parking, you'll pass our office. It's that close. And if you come to the fourth floor, you know one of the cubes that's where I sit. In the cube beside me is Steve. Steve sits in the cube beside me. And when I first joined the company, three or four years ago, and Steve's if you go to his cube, it no longer looks like this, but it used to have a lot of this stuff. It was like big containers of this. I remember the first time. Since I started joking about it, he started reducing it. And then Steve eventually got married much to our surprise. (audience laughing) Much to his wife's surprise. And then he also had a baby as a bigger surprise. And if you come over to our office, and we welcome you, and you come to the fourth floor, find my cube or you'll find Steve's Cube, it now looks like this. Okay, so thanks a lot, my man. >> Cool, thank you. >> Thanks so much. (audience clapping) >> So single OS, any workload. And like Steve who's been with us for awhile, it's my great pleasure to invite one of our favorite customers, CSC Karen who's also been with us for three to four years. And I'll share some fond memories about how she's been with the company for awhile, how as partners we've really done a lot together. So without any further ado, let me bring up Karen. Come on up, Karen. (rock music) >> Thank you for having me. >> Yeah, thank you. So I remember, so how many of you guys were with Nutanix first .Next in Miami? I know there was a question like that asked last time. Not too many. You missed it. We wished we could go back to that. We wouldn't fit 3/4s of this crowd. But Karen was our first customer in the keynote in 2015. And we had just talked about that story at that time where you're just become a customer. Do you want to give us some recap of that? >> Sure. So when we made the decision to move to hyperconverged infrastructure and chose Nutanix as our partner, we rapidly started to deploy. And what I mean by that is Sunil and some of the Nutanix executives had come out to visit with us and talk about their product on a Tuesday. And on a Wednesday after making the decision, I picked up the phone and said you know what I've got to deploy for my VDI cluster. So four nodes showed up on Thursday. And from the time it was plugged in to moving over 300 VDIs and 50 terabytes of storage and turning it over for the business for use was less than three days. So it was really excellent testament to how simple it is to start, and deploy, and utilize the Nutanix infrastructure. Now part of that was the delight that we experienced from our customers after that deployment. So we got phone calls where people were saying this report it used to take so long that I'd got out and get a cup of coffee and come back, and read an article, and do some email, and then finally it would finish. Those reports are running in milliseconds now. It's one click. It's very, very simple, and we've delighted our customers. Now across that journey, we have gone from the simple workloads like VDIs to the much more complex workloads around Splunk and Hadoop. And what's really interesting about our Splunk deployment is we're handling over a billion events being logged everyday. And the deployment is smaller than what we had with a three tiered infrastructure. So when you hear people talk about waste and getting that out and getting to an invisible environment where you're just able to run it, that's what we were able to achieve both with everything that we're running from our public facing websites to the back office operations that we're using which include Splunk and even most recently our Cloudera and Hadoop infrastructure. What it does is it's got 30 crawlers that go out on the internet and start bringing data back. So it comes back with over two terabytes of data everyday. And then that environment, ingests that data, does work against it, and responds to the business. And that again is something that's smaller than what we had on traditional infrastructure, and it's faster and more stable. >> Got it. And it covers a lot of use cases as well. You want to speak a few words on that? >> So the use cases, we're 90%, 95% deployed on Nutanix, and we're covering all of our use cases. So whether that's a customer facing app or a back office application. And what are business is doing is it's handling large portfolios of data for fortune 500 companies and law firms. And these applications are all running with improved stability, reliability, and performance on the Nutanix infrastructure. >> And the plan going forward? >> So the plan going forward, you actually asked me that in Miami, and it's go global. So when we started in Miami and that first deployment, we had four nodes. We now have 283 nodes around the world, and we started with about 50 terabytes of data. We've now got 3.8 petabytes of data. And we're deployed across four data centers and six remote offices. And people ask me often what is the value that we achieved? So simplification. It's all just easier, and it's all less expensive. Being able to scale with the business. So our Cloudera environment ended up with one day where it spiked to 1,000 times more load, 1,000 times, and it just responded. We had rally cries around improved productivity by six times. So 600% improved productivity, and we were able to actually achieve that. The numbers you just saw on the slide that was very, very fast was we calculated a 40% reduction in total cost of ownership. We've exceeded that. And when we talk about waste, that other number on the board there is when I saved the company one hour of maintenance activity or unplanned downtime in a month which we're now able to do the majority of our maintenance activities without disrupting any of our business solutions, I'm saving $750,000 each time I save that one hour. >> Wow. All right, Karen from CSE. Thank you so much. That was great. Thank you. I mean you know some of these data points frankly as I started talking to Karen as well as some other customers are pretty amazing in terms of the genuine value beyond financial value. Kind of like the emotional sort of benefits that good products deliver to some of our customers. And I think that's one of the core things that we take back into engineering is to keep ourselves honest on either velocity or quality even hiring people and so forth. Is to actually the more we touch customers lives, the more we touch our partner's lives, the more it allows us to ensure that we can put ourselves in their shoes to kind of make sure that we're doing the right thing in terms of the product. So that was the first part, invisible infrastructure. And our goal, as we've always talked about, our true North is to make sure that this single OS can be an exact replica, a truly modern, thoughtful but original design that brings the power of public cloud this AWS or GCP like architectures into your mainstream enterprises. And so when we take that to the next level which is about expanding the scope to go beyond invisible infrastructure to invisible data centers, it starts with a few things. Obviously, it starts with virtualization and a level of intelligent management, extends to automation, and then as we'll talk about, we have to embark on encompassing the network. And that's what we'll talk about with Flow. But to start this, let me again go back to one of our core products which is the bedrock of our you know opinionated design inside this company which is Prism and Acropolis. And Prism provides, I mentioned, comes with a ton of machine-learning based intelligence built into the product in 5.6 we've done a ton of work. In fact, a lot of features are coming out now because now that PC, Prism Central that you know has been decoupled from our mainstream release strain and will continue to release on its own cadence. And the same thing when you actually flip it to AHV on its own train. Now AHV, two years ago it was all about can I use AHV for VDI? Can I use AHV for ROBO? Now I'm pretty clear about where you cannot use AHV. If you need memory overcome it, stay with VMware or something. If you need, you know Metro, stay with another technology, else it's game on, right? And if you really look at the adoption of AHV in the mainstream enterprise, the customers now speak for themselves. These are all examples of large global enterprises with multimillion dollar ELAs in play that have now been switched over. Like I'll give you a simple example here, and there's lots of these that I'm sure many of you who are in the audience that are in this camp, but when you look at the breakout sessions in the pods, you'll get a sense of this. But I'll give you one simple example. If you look at the online payment company. I'm pretty sure everybody's used this at one time or the other. They had the world's largest private cloud on open stack, 21,000 nodes. And they were actually public about it three or four years ago. And in the last year and a half, they put us through a rigorous VOC testing scale, hardening, and it's a full blown AHV only stack. And they've started cutting over. Obviously they're not there yet completely, but they're now literally in hundreds of nodes of deployment of Nutanix with AHV as their primary operating system. So it is primetime from a deployment perspective. And with that as the base, no cloud is complete without actually having self-service provisioning that truly drives one-click automation, and can you do that in this consumer grade design? And Calm was acquired, as you guys know, in 2016. We had a choice of taking Calm. It was reasonably feature complete. It supported multiple clouds. It supported ESX, it supported Brownfield, It supported AHV. I mean they'd already done the integration with Nutanix even before the acquisition. And we had a choice. The choice was go down the path of dynamic ops or some other products where you took it for revenue or for acceleration, you plopped it into the ecosystem and sold it at this power sucking alien on top of our stack, right? Or we took a step back, re-engineered the product, kept some of the core essence like the workflow engine which was good, the automation, the object model and all, but refactored it to make it look like a natural extension of our operating system. And that's what we did with Calm. And we just launched it in December, and it's been one of our most popular new products now that's flying off the shelves. If you saw the number of registrants, I got a notification of this for the breakout sessions, the number one session that has been preregistered with over 500 people, the first two sessions are around Calm. And justifiably so because it just as it lives up to its promise, and it'll take its time to kind of get to all the bells and whistles, all the capabilities that have come through with AHV or Acropolis in the past. But the feature functionality, the product market fit associated with Calm is dead on from what the feedback that we can receive. And so Calm itself is on its own rapid cadence. We had AWS and AHV in the first release. Three or four months later, we now added ESX support. We added GCP support and a whole bunch of other capabilities, and I think the essence of Calm is if you can combine Calm and along with private cloud automation but also extend it to multi-cloud automation, it really sets Nutanix on its first genuine path towards multi-cloud. But then, as I said, if you really fixate on a software defined data center message, we're not complete as a full blown AWS or GCP like IA stack until we do the last horizon of networking. And you probably heard me say this before. You heard Dheeraj and others talk about it before is our problem in networking isn't the same in storage. Because the data plane in networking works. Good L2 switches from Cisco, Arista, and so forth, but the real problem networking is in the control plane. When something goes wrong at a VM level in Nutanix, you're able to identify whether it's a storage problem or a compute problem, but we don't know whether it's a VLAN that's mis-configured, or there've been some packets dropped at the top of the rack. Well that all ends now with Flow. And with Flow, essentially what we've now done is take the work that we've been working on to create built-in visibility, put some network automation so that you can actually provision VLANs when you provision VMs. And then augment it with micro segmentation policies all built in this easy to use, consume fashion. But we didn't stop there because we've been talking about Flow, at least the capabilities, over the last year. We spent significant resources building it. But we realized that we needed an additional thing to augment its value because the world of applications especially discovering application topologies is a heady problem. And if we didn't address that, we wouldn't be fulfilling on this ambition of providing one-click network segmentation. And so that's where Netsil comes in. Netsil might seem on the surface yet another next generation application performance management tool. But the innovations that came from Netsil started off at the research project at the University of Pennsylvania. And in fact, most of the team right now that's at Nutanix is from the U Penn research group. And they took a really original, fresh look at how do you sit in a network in a scale out fashion but still reverse engineer the packets, the flow through you, and then recreate this application topology. And recreate this not just on Nutanix, but do it seamlessly across multiple clouds. And to talk about the power of Flow augmented with Netsil, let's bring Rajiv back on stage, Rajiv. >> How you doing? >> Okay so we're going to start with some Netsil stuff, right? >> Yeah, let's talk about Netsil and some of the amazing capabilities this acquisition's bringing to Nutanix. First of all as you mentioned, Netsil's completely non invasive. So it installs on the network, it does all its magic from there. There're no host agents, non of the complexity and compatibility issues that entails. It's also monitoring the network at layer seven. So it's actually doing a deep packet inspection on all your application data, and can give you insights into services and APIs which is very important for modern applications and the way they behave. To do all this of course performance is key. So Netsil's built around a completely distributed architecture scaled to really large workloads. Very exciting technology. We're going to use it in many different ways at Nutanix. And to give you a flavor of that, let me show you how we're thinking of integrating Flow and Nestil together, so micro segmentation and Netsil. So to do that, we install Netsil in one of our Google accounts. And that's what's up here now. It went out there. It discovered all the VMs we're running on that account. It created a map essentially of all their interactions, and you can see it's like a Google Maps view. I can zoom into it. I can look at various things running. I can see lots of HTTP servers over here, some databases. >> Sunil: And it also has stats, right? You can go, it actually-- >> It does. We can take a look at that for a second. There are some stats you can look at right away here. Things like transactions per second and latencies and so on. But if I wanted to micro segment this application, it's not really clear how to do so. There's no real pattern over here. Taking the Google Maps analogy a little further, this kind of looks like the backstreets of Cairo or something. So let's do this step by step. Let me first filter down to one application. Right now I'm looking at about three or four different applications. And Netsil integrates with the metadata. So this is that the clouds provide. So I can search all the tags that I have. So by doing that, I can zoom in on just the financial application. And when I do this, the view gets a little bit simpler, but there's still no real pattern. It's not clear how to micro segment this, right? And this is where the power of Netsil comes in. This is a fairly naive view. This is what tool operating at layer four just looking at ports and TCP traffic would give you. But by doing deep packet inspection, Netsil can get into the services layer. So instead of grouping these interactions by hostname, let's group them by service. So you go service tier. And now you can see this is a much simpler picture. Now I have some patterns. I have a couple of load balancers, an HA proxy and an Nginx. I have a web application front end. I have some application servers running authentication services, search services, et cetera, a database, and a database replica. I could go ahead and micro segment at this point. It's quite possible to do it at this point. But this is almost too granular a view. We actually don't usually want to micro segment at individual service level. You think more in terms of application tiers, the tiers that different services belong to. So let me go ahead and group this differently. Let me group this by app tier. And when I do that, a really simple picture emerges. I have a load balancing tier talking to a web application front end tier, an API tier, and a database tier. Four tiers in my application. And this is something I can work with. This is something that I can micro segment fairly easily. So let's switch over to-- >> Before we dot that though, do you guys see how he gave himself the pseudonym called Dom Toretto? >> Focus Sunil, focus. >> Yeah, for those guys, you know that's not the Avengers theme, man, that's the Fast and Furious theme. >> Rajiv: I think a year ahead. This is next years theme. >> Got it, okay. So before we cut over from Netsil to Flow, do we want to talk a few words about the power of Flow, and what's available in 5.6? >> Sure so Flow's been around since the 5.6 release. Actually some of the functionality came in before that. So it's got invisibility into the network. It helps you debug problems with WLANs and so on. We had a lot of orchestration with other third party vendors with load balancers, with switches to make publishing much simpler. And then of course with our most recent release, we GA'ed our micro segmentation capabilities. And that of course is the most important feature we have in Flow right now. And if you look at how Flow policy is set up, it looks very similar to what we just saw with Netsil. So we have load blancer talking to a web app, API, database. It's almost identical to what we saw just a moment ago. So while this policy was created manually, it is something that we can automate. And it is something that we will do in future releases. Right now, it's of course not been integrated at that level yet. So this was created manually. So one thing you'll notice over here is that the database tier doesn't get any direct traffic from the internet. All internet traffic goes to the load balancer, only specific services then talk to the database. So this policy right now is in monitoring mode. It's not actually being enforced. So let's see what happens if I try to attack the database, I start a hack against the database. And I have my trusty brute force password script over here. It's trying the most common passwords against the database. And if I happen to choose a dictionary word or left the default passwords on, eventually it will log into the database. And when I go back over here in Flow what happens is it actually detects there's now an ongoing a flow, a flow that's outside of policy that's shown up. And it shows this in yellow. So right alongside the policy, I can visualize all the noncompliant flows. This makes it really easy for me now to make decisions, does this flow should it be part of the policy, should it not? In this particular case, obviously it should not be part of the policy. So let me just switch from monitoring mode to enforcement mode. I'll apply the policy, give it a second to propagate. The flow goes away. And if I go back to my script, you can see now the socket's timing out. I can no longer connect to the database. >> Sunil: Got it. So that's like one click segmentation and play right now? >> Absolutely. It's really, really simple. You can compare it to other products in the space. You can't get simpler than this. >> Got it. Why don't we got back and talk a little bit more about, so that's Flow. It's shipping now in 5.6 obviously. It'll come integrated with Netsil functionality as well as a variety of other enhancements in that next few releases. But Netsil does more than just simple topology discovery, right? >> Absolutely. So Netsil's actually gathering a lot of metrics from your network, from your host, all this goes through a data pipeline. It gets processed over there and then gets captured in a time series database. And then we can slice and dice that in various different ways. It can be used for all kinds of insights. So let's see how our application's behaving. So let me say I want to go into the API layer over here. And I instantly get a variety of metrics on how the application's behaving. I get the most requested endpoints. I get the average latency. It looks reasonably good. I get the average latency of the slowest endpoints. If I was having a performance problem, I would know exactly where to go focus on. Right now, things look very good, so we won't focus on that. But scrolling back up, I notice that we have a fairly high error rate happening. We have like 11.35% of our HTTP requests are generating errors, and that deserves some attention. And if I scroll down again, and I see the top five status codes I'm getting, almost 10% of my requests are generating 500 errors, HTTP 500 errors which are internal server errors. So there's something going on that's wrong with this application. So let's dig a little bit deeper into that. Let me go into my analytics workbench over here. And what I've plotted over here is how my HTTP requests are behaving over time. Let me filter down to just the 500 ones. That will make it easier. And I want the 500s. And I'll also group this by the service tier so that I can see which services are causing the problem. And the better view for this would be a bar graph. Yes, so once I do this, you can see that all the errors, all the 500 errors that we're seeing have been caused by the authentication service. So something's obviously wrong with that part of my application. I can go look at whether Active Directory is misbehaving and so on. So very quickly from a broad problem that I was getting a high HTTP error rate. In fact, usually you will discover there's this customer complaining about a lot of errors happening in your application. You can quickly narrow down to exactly what the cause was. >> Got it. This is what we mean by hyperconvergence of the network which is if you can truly isolate network related problems and associate them with the rest of the hyperconvergence infrastructure, then we've essentially started making real progress towards the next level of hyperconvergence. Anyway, thanks a lot, man. Great job. >> Thanks, man. (audience clapping) >> So to talk about this evolution from invisible infrastructure to invisible data centers is another customer of ours that has embarked on this journey. And you know it's not just using Nutanix but a variety of other tools to actually fulfill sort of like the ambition of a full blown cloud stack within a financial organization. And to talk more about that, let me call Vijay onstage. Come on up, Vijay. (rock music) >> Hey. >> Thank you, sir. So Vijay looks way better in real life than in a picture by the way. >> Except a little bit of gray. >> Unlike me. So tell me a little bit about this cloud initiative. >> Yeah. So we've won the best cloud initiative twice now hosted by Incisive media a large magazine. It's basically they host a bunch of you know various buy side, sell side, and you can submit projects in various categories. So we've won the best cloud twice now, 2015 and 2017. The 2017 award is when you know as part of our private cloud journey we were laying the foundation for our private cloud which is 100% based on hyperconverged infrastructure. So that was that award. And then 2017, we've kind of built on that foundation and built more developer-centric next gen app services like PAS, CAS, SDN, SDS, CICD, et cetera. So we've built a lot of those services on, and the second award was really related to that. >> Got it. And a lot of this was obviously based on an infrastructure strategy with some guiding principles that you guys had about three or four years ago if I remember. >> Yeah, this is a great slide. I use it very often. At the core of our infrastructure strategy is how do we run IT as a business? I talk about this with my teams, they were very familiar with this. That's the mindset that I instill within the teams. The mission, the challenge is the same which is how do we scale infrastructure while reducing total cost of ownership, improving time to market, improving client experience and while we're doing that not lose sight of reliability, stability, and security? That's the mission. Those are some of our guiding principles. Whenever we take on some large technology investments, we take 'em through those lenses. Obviously Nutanix went through those lenses when we invested in you guys many, many years ago. And you guys checked all the boxes. And you know initiatives change year on year, the mission remains the same. And more recently, the last few years, we've been focused on converged platforms, converged teams. We've actually reorganized our teams and aligned them closer to the platforms moving closer to an SRE like concept. >> And then you've built out a full stack now across computer storage, networking, all the way with various use cases in play? >> Yeah, and we're aggressively moving towards PAS, CAS as our method of either developing brand new cloud native applications or even containerizing existing applications. So the stack you know obviously built on Nutanix, SDS for software fine storage, compute and networking we've got SDN turned on. We've got, again, PAS and CAS built on this platform. And then finally, we've hooked our CICD tooling onto this. And again, the big picture was always frictionless infrastructure which we're very close to now. You know 100% of our code deployments into this environment are automated. >> Got it. And so what's the net, net in terms of obviously the business takeaway here? >> Yeah so at Northern we don't do tech for tech. It has to be some business benefits, client benefits. There has to be some outcomes that we measure ourselves against, and these are some great metrics or great ways to look at if we're getting the outcomes from the investments we're making. So for example, infrastructure scale while reducing total cost of ownership. We're very focused on total cost of ownership. We, for example, there was a build team that was very focus on building servers, deploying applications. That team's gone down from I think 40, 45 people to about 15 people as one example, one metric. Another metric for reducing TCO is we've been able to absorb additional capacity without increasing operating expenses. So you're actually building capacity in scale within your operating model. So that's another example. Another example, right here you see on the screen. Faster time to market. We've got various types of applications at any given point that we're deploying. There's a next gen cloud native which go directly on PAS. But then a majority of the applications still need the traditional IS components. The time to market to deploy a complex multi environment, multi data center application, we've taken that down by 60%. So we can deliver server same day, but we can deliver entire environments, you know add it to backup, add it to DNS, and fully compliant within a couple of weeks which is you know something we measure very closely. >> Great job, man. I mean that's a compelling I think results. And in the journey obviously you got promoted a few times. >> Yep. >> All right, congratulations again. >> Thank you. >> Thanks Vijay. >> Hey Vijay, come back here. Actually we forgot our joke. So razzled by his data points there. So you're supposed to wear some shoes, right? >> I know my inner glitch. I was going to wear those sneakers, but I forgot them at the office maybe for the right reasons. But the story behind those florescent sneakers, I see they're focused on my shoes. But I picked those up two years ago at a Next event, and not my style. I took 'em to my office. They've been sitting in my office for the last couple years. >> Who's received shoes like these by the way? I'm sure you guys have received shoes like these. There's some real fans there. >> So again, I'm sure many of you liked them. I had 'em in my office. I've offered it to so many of my engineers. Are you size 11? Do you want these? And they're unclaimed? >> So that's the only feature of Nutanix that you-- >> That's the only thing that hasn't worked, other than that things are going extremely well. >> Good job, man. Thanks a lot. >> Thanks. >> Thanks Vijay. So as we get to the final phase which is obviously as we embark on this multi-cloud journey and the complexity that comes with it which Dheeraj hinted towards in his session. You know we have to take a cautious, thoughtful approach here because we don't want to over set expectations because this will take us five, 10 years to really do a good job like we've done in the first act. And the good news is that the market is also really, really early here. It's just a fact. And so we've taken a tiered approach to it as we'll start the discussion with multi-cloud operations, and we've talked about the stack in the prior session which is about look across new clouds. So it's no longer Nutanix, Dell, Lenova, HP, Cisco as the new quote, unquote platforms. It's Nutanix, Xi, GCP, AWS, Azure as the new platforms. That's how we're designing the fabric going forward. On top of that, you obviously have the hybrid OS both on the data plane side and control plane side. Then what you're seeing with the advent of Calm doing a marketplace and automation as well as Beam doing governance and compliance is the fact that you'll see more and more such capabilities of multi-cloud operations burnt into the platform. And example of that is Calm with the new 5.7 release that they had. Launch supports multiple clouds both inside and outside, but the fundamental premise of Calm in the multi-cloud use case is to enable you to choose the right cloud for the right workload. That's the automation part. On the governance part, and this we kind of went through in the last half an hour with Dheeraj and Vijay on stage is something that's even more, if I can call it, you know first order because you get the provisioning and operations second. The first order is to say look whatever my developers have consumed off public cloud, I just need to first get our arm around to make sure that you know what am I spending, am I secure, and then when I get comfortable, then I am able to actually expand on it. And that's the power of Beam. And both Beam and Calm will be the yin and yang for us in our multi-cloud portfolio. And we'll have new products to complement that down the road, right? But along the way, that's the whole private cloud, public cloud. They're the two ends of the barbell, and over time, and we've been working on Xi for awhile, is this conviction that we've built talking to many customers that there needs to be another type of cloud. And this type of a cloud has to feel like a public cloud. It has to be architected like a public cloud, be consumed like a public cloud, but it needs to be an extension of my data center. It should not require any changes to my tooling. It should not require and changes to my operational infrastructure, and it should not require lift and shift, and that's a super hard problem. And this problem is something that a chunk of our R and D team has been burning the midnight wick on for the last year and a half. Because look this is not about taking our current OS which does a good job of scaling and plopping it into a Equinix or a third party data center and calling it a hybrid cloud. This is about rebuilding things in the OS so that we can deliver a true hybrid cloud, but at the same time, give those functionality back on premises so that even if you don't have a hybrid cloud, if you just have your own data centers, you'll still need new services like DR. And if you think about it, what are we doing? We're building a full blown multi-tenant virtual network designed in a modern way. Think about this SDN 2.0 because we have 10 years worth of looking backwards on how GCP has done it, or how Amazon has done it, and now sort of embodying some of that so that we can actually give it as part of this cloud, but do it in a way that's a seamless extension of the data center, and then at the same time, provide new services that have never been delivered before. Everyone obviously does failover and failback in DR it just takes months to do it. Our goal is to do it in hours or minutes. But even things such as test. Imagine doing a DR test on demand for you business needs in the middle of the day. And that's the real bar that we've set for Xi that we are working towards in early access later this summer with GA later in the year. And to talk more about this, let me invite some of our core architects working on it, Melina and Rajiv. (rock music) Good to see you guys. >> You're messing up the names again. >> Oh Rajiv, Vinny, same thing, man. >> You need to back up your memory from Xi. >> Yeah, we should. Okay, so what are we going to talk about, Vinny? >> Yeah, exactly. So today we're going to talk about how Xi is pushing the envelope and beyond the state of the art as you were saying in the industry. As part of that, there's a whole bunch of things that we have done starting with taking a private cloud, seamlessly extending it to the public cloud, and then creating a hybrid cloud experience with one-click delight. We're going to show that. We've done a whole bunch of engineering work on making sure the operations and the tooling is identical on both sides. When you graduate from a private cloud to a hybrid cloud environment, you don't want the environments to be different. So we've copied the environment for you with zero manual intervention. And finally, building on top of that, we are delivering DR as a service with unprecedented simplicity with one-click failover, one-click failback. We're going to show you one click test today. So Melina, why don't we start with showing how you go from a private cloud, seamlessly extend it to consume Xi. >> Sounds good, thanks Vinny. Right now, you're looking at my Prism interface for my on premises cluster. In one-click, I'm going to be able to extend that to my Xi cloud services account. I'm doing this using my my Nutanix credential and a password manager. >> Vinny: So here as you notice all the Nutanix customers we have today, we have created an account for them in Xi by default. So you don't have to log in somewhere and create an account. It's there by default. >> Melina: And just like that we've gone ahead and extended my data center. But let's go take a look at the Xi side and log in again with my my Nutanix credentials. We'll see what we have over here. We're going to be able to see two availability zones, one for on premises and one for Xi right here. >> Vinny: Yeah as you see, using a log in account that you already knew mynutanix.com and 30 seconds in, you can see that you have a hybrid cloud view already. You have a private cloud availability zone that's your own Prism central data center view, and then a Xi availability zone. >> Sunil: Got it. >> Melina: Exactly. But of course we want to extend my network connection from on premises to my Xi networks as well. So let's take a look at our options there. We have two ways of doing this. Both are one-click experience. With direct connect, you can create a dedicated network connection between both environments, or VPN you can use a public internet and a VPN service. Let's go ahead and enable VPN in this environment. Here we have two options for how we want to enable our VPN. We can bring our own VPN and connect it, or we will deploy a VPN for you on premises. We'll do the option where we deploy the VPN in one-click. >> And this is another small sign or feature that we're building net new as part of Xi, but will be burned into our core Acropolis OS so that we can also be delivering this as a stand alone product for on premises deployment as well, right? So that's one of the other things to note as you guys look at the Xi functionality. The goal is to keep the OS capabilities the same on both sides. So even if I'm building a quote, unquote multi data center cloud, but it's just a private cloud, you'll still get all the benefits of Xi but in house. >> Exactly. And on this second step of the wizard, there's a few inputs around how you want the gateway configured, your VLAN information and routing and protocol configuration details. Let's go ahead and save it. >> Vinny: So right now, you know what's happening is we're taking the private network that our customers have on premises and extending it to a multi-tenant public cloud such that our customers can use their IP addresses, the subnets, and bring their own IP. And that is another step towards making sure the operation and tooling is kept consistent on both sides. >> Melina: Exactly. And just while you guys were talking, the VPN was successfully created on premises. And we can see the details right here. You can track details like the status of the connection, the gateway, as well as bandwidth information right in the same UI. >> Vinny: And networking is just tip of the iceberg of what we've had to work on to make sure that you get a consistent experience on both sides. So Melina, why don't we show some of the other things we've done? >> Melina: Sure, to talk about how we preserve entities from my on-premises to Xi, it's better to use my production environment. And first thing you might notice is the log in screen's a little bit different. But that's because I'm logging in using my ADFS credentials. The first thing we preserved was our users. In production, I'm running AD obviously on-prem. And now we can log in here with the same set of credentials. Let me just refresh this. >> And this is the Active Directory credential that our customers would have. They use it on-premises. And we allow the setting to be set on the Xi cloud services as well, so it's the same set of users that can access both sides. >> Got it. There's always going to be some networking problem onstage. It's meant to happen. >> There you go. >> Just launching it again here. I think it maybe timed out. This is a good sign that we're running on time with this presentation. >> Yeah, yeah, we're running ahead of time. >> Move the demos quicker, then we'll time out. So essentially when you log into Xi, you'll be able to see what are the environment capabilities that we have copied to the Xi environment. So for example, you just saw that the same user is being used to log in. But after the use logs in, you'll be able to see their images, for example, copied to the Xi side. You'll be able to see their policies and categories. You know when you define these policies on premises, you spend a lot of effort and create them. And now when you're extending to the public cloud, you don't want to do it again, right? So we've done a whole lot of syncing mechanisms making sure that the two sides are consistent. >> Got it. And on top of these policies, the next step is to also show capabilities to actually do failover and failback, but also do integrated testing as part of this compatibility. >> So one is you know just the basic job of making the environments consistent on two sides, but then it's also now talking about the data part, and that's what DR is about. So if you have a workload running on premises, we can take the data and replicate it using your policies that we've already synced. Once the data is available on the Xi side, at that point, you have to define a run book. And the run book essentially it's a recovery plan. And that says okay I already have the backups of my VMs in case of disaster. I can take my recovery plan and hit you know either failover or maybe a test. And then my application comes up. First of all, you'll talk about the boot order for your VMs to come up. You'll talk about networking mapping. Like when I'm running on-prem, you're using a particular subnet. You have an option of using the same subnet on the Xi side. >> Melina: There you go. >> What happened? >> Sunil: It's finally working.? >> Melina: Yeah. >> Vinny, you can stop talking. (audience clapping) By the way, this is logging into a live Xi data center. We have two regions West Coat, two data centers East Coast, two data centers. So everything that you're seeing is essentially coming off the mainstream Xi profile. >> Vinny: Melina, why don't we show the recovery plan. That's the most interesting piece here. >> Sure. The recovery plan is set up to help you specify how you want to recover your applications in the event of a failover or a test failover. And it specifies all sorts of details like the boot sequence for the VMs as well as network mappings. Some of the network mappings are things like the production network I have running on premises and how it maps to my production network on Xi or the test network to the test network. What's really cool here though is we're actually automatically creating your subnets on Xi from your on premises subnets. All that's part of the recovery plan. While we're on the screen, take a note of the .100 IP address. That's a floating IP address that I have set up to ensure that I'm going to be able to access my three tier web app that I have protected with this plan after a failover. So I'll be able to access it from the public internet really easily from my phone or check that it's all running. >> Right, so given how we make the environment consistent on both sides, now we're able to create a very simple DR experience including failover in one-click, failback. But we're going to show you test now. So Melina, let's talk about test because that's one of the most common operations you would do. Like some of our customers do it every month. But usually it's very hard. So let's see how the experience looks like in what we built. >> Sure. Test and failover are both one-click experiences as you know and come to expect from Nutanix. You can see it's failing over from my primary location to my recovery location. Now what we're doing right now is we're running a series of validation checks because we want to make sure that you have your network configured properly, and there's other configuration details in place for the test to be successful. Looks like the failover was initiated successfully. Now while that failover's happening though, let's make sure that I'm going to be able to access my three tier web app once it fails over. We'll do that by looking at my network policies that I've configured on my test network. Because I want to access the application from the public internet but only port 80. And if we look here under our policies, you can see I have port 80 open to permit. So that's good. And if I needed to create a new one, I could in one click. But it looks like we're good to go. Let's go back and check the status of my recovery plan. We click in, and what's really cool here is you can actually see the individual tasks as they're being completed from that initial validation test to individual VMs being powered on as part of the recovery plan. >> And to give you guys an idea behind the scenes, the entire recovery plan is actually a set of workflows that are built on Calm's automation engine. So this is an example of where we're taking some of power of workflow and automation that Clam has come to be really strong at and burning that into how we actually operationalize many of these workflows for Xi. >> And so great, while you were explaining that, my three tier web app has restarted here on Xi right in front of you. And you can see here there's a floating IP that I mentioned early that .100 IP address. But let's go ahead and launch the console and make sure the application started up correctly. >> Vinny: Yeah, so that .100 IP address is a floating IP that's a publicly visible IP. So it's listed here, 206.80.146.100. And that's essentially anybody in the audience here can go use your laptop or your cell phone and hit that and start to work. >> Yeah so by the way, just to give you guys an idea while you guys maybe use the IP to kind of hit it, is a real set of VMs that we've just failed over from Nutanix's corporate data center into our West region. >> And this is running live on the Xi cloud. >> Yeah, you guys should all go and vote. I'm a little biased towards Xi, so vote for Xi. But all of them are really good features. >> Scroll up a little bit. Let's see where Xi is. >> Oh Xi's here. I'll scroll down a little bit, but keep the... >> Vinny: Yes. >> Sunil: You guys written a block or something? >> Melina: Oh good, it looks like Xi's winning. >> Sunil: Okay, great job, Melina. Thank you so much. >> Thank you, Melina. >> Melina: Thanks. >> Thank you, great job. Cool and calm under pressure. That's good. So that was Xi. What's something that you know we've been doing around you know in addition to taking say our own extended enterprise public cloud with Xi. You know we do recognize that there are a ton of workloads that are going to be residing on AWS, GCP, Azure. And to sort of really assist in the try and call it transformation of enterprises to choose the right cloud for the right workload. If you guys remember, we actually invested in a tool over last year which became actually quite like one of those products that took off based on you know groundswell movement. Most of you guys started using it. It's essentially extract for VMs. And it was this product that's obviously free. It's a tool. But it enables customers to really save tons of time to actually migrate from legacy environments to Nutanix. So we took that same framework, obviously re-platformed it for the multi-cloud world to kind of solve the problem of migrating from AWS or GCP to Nutanix or vice versa. >> Right, so you know, Sunil as you said, moving from a private cloud to the public cloud is a lift and shift, and it's a hard you know operation. But moving back is not only expensive, it's a very hard problem. None of the cloud vendors provide change block tracking capability. And what that means is when you have to move back from the cloud, you have an extended period of downtime because there's now way of figuring out what's changing while you're moving. So you have to keep it down. So what we've done with our app mobility product is we have made sure that, one, it's extremely simple to move back. Two, that the downtime that you'll have is as small as possible. So let me show you what we've done. >> Got it. >> So here is our app mobility capability. As you can see, on the left hand side we have a source environment and target environment. So I'm calling my AWS environment Asgard. And I can add more environments. It's very simple. I can select AWS and then put in my credentials for AWS. It essentially goes and discovers all the VMs that are running and all the regions that they're running. Target environment, this is my Nutanix environment. I call it Earth. And I can add target environment similarly, IP address and credentials, and we do the rest. Right, okay. Now migration plans. I have Bifrost one as my migration plan, and this is how migration works. First you create a plan and then say start seeding. And what it does is takes a snapshot of what's running in the cloud and starts migrating it to on-prem. Once it is an on-prem and the difference between the two sides is minimal, it says I'm ready to cutover. At that time, you move it. But let me show you how you'd create a new migration plan. So let me name it, Bifrost 2. Okay so what I have to do is select a region, so US West 1, and target Earth as my cluster. This is my storage container there. And very quickly you can see these are the VMs that are running in US West 1 in AWS. I can select SQL server one and two, go to next. Right now it's looking at the target Nutanix environment and seeing it had enough space or not. Once that's good, it gives me an option. And this is the step where it enables the Nutanix service of change block tracking overlaid on top of the cloud. There are two options one is automatic where you'll give us the credentials for your VMs, and we'll inject our capability there. Or manually you could do. You could copy the command either in a windows VM or Linux VM and run it once on the VM. And change block tracking since then in enabled. Everything is seamless after that. Hit next. >> And while Vinny's setting it up, he said a few things there. I don't know if you guys caught it. One of the hardest problems in enabling seamless migration from public cloud to on-prem which makes it harder than the other way around is the fact that public cloud doesn't have things like change block tracking. You can't get delta copies. So one of the core innovations being built in this app mobility product is to provide that overlay capability across multiple clouds. >> Yeah, and the last step here was to select the target network where the VMs will come up on the Nutanix environment, and this is a summary of the migration plan. You can start it or just save it. I'm saving it because it takes time to do the seeding. I have the other plan which I'll actually show the cutover with. Okay so now this is Bifrost 1. It's ready to cutover. We started it four hours ago. And here you can see there's a SQL server 003. Okay, now I would like to show the AWS environment. As you can see, SQL server 003. This VM is actually running in AWS right now. And if you go to the Prism environment, and if my login works, right? So we can go into the virtual machine view, tables, and you see the VM is not there. Okay, so we go back to this, and we can hit cutover. So this is essentially telling our system, okay now it the time. Quiesce the VM running in AWS, take the last bit of changes that you have to the database, ship it to on-prem, and in on-prem now start you know configure the target VM and start bringing it up. So let's go and look at AWS and refresh that screen. And you should see, okay so the SQL server is now stopping. So that means it has quiesced and stopping the VM there. If you go back and look at the migration plan that we had, it says it's completed. So it has actually migrated all the data to the on-prem side. Go here on-prem, you see the production SQL server is running already. I can click launch console, and let's see. The Windows VM is already booting up. >> So essentially what Vinny just showed was a live cutover of an AWS VM to Nutanix on-premises. >> Yeah, and what we have done. (audience clapping) So essentially, this is about making two things possible, making it simple to migrate from cloud to on-prem, and making it painless so that the downtime you have is very minimal. >> Got it, great job, Vinny. I won't forget your name again. So last step. So to really talk about this, one of our favorite partners and customers has been in the cloud environment for a long time. And you know Jason who's the CTO of Cyxtera. And he'll introduce who Cyxtera is. Most of you guys are probably either using their assets or not without knowing their you know the new name. But is someone that was in the cloud before it was called cloud as one of the original founders and technologists behind Terremark, and then later as one of the chief architects of VMware's cloud. And then they started this new company about a year or so ago which I'll let Jason talk about. This journey that he's going to talk about is how a partner, slash customer is working with us to deliver net new transformations around the traditional industry of colo. Okay, to talk more about it, Jason, why don't you come up on stage, man? (rock music) Thank you, sir. All right so Cyxtera obviously a lot of people don't know the name. Maybe just give a 10 second summary of why you're so big already. >> Sure, so Cyxtera was formed, as you said, about a year ago through the acquisition of the CenturyLink data centers. >> Sunil: Which includes Savvis and a whole bunch of other assets. >> Yeah, there's a long history of those data centers, but we have all of them now as well as the software companies owned by Medina capital. So we're like the world's biggest startup now. So we have over 50 data centers around the world, about 3,500 customers, and a portfolio of security and analytics software. >> Sunil: Got it, and so you have this strategy of what we're calling revolutionizing colo deliver a cloud based-- >> Yeah so, colo hasn't really changed a lot in the last 20 years. And to be fair, a lot of what happens in data centers has to have a person physically go and do it. But there are some things that we can simplify and automate. So we want to make things more software driven, so that's what we're doing with the Cyxtera extensible data center or CXD. And to do that, we're deploying software defined networks in our facilities and developing automations so customers can go and provision data center services and the network connectivity through a portal or through REST APIs. >> Got it, and what's different now? I know there's a whole bunch of benefits with the integrated platform that one would not get in the traditional kind of on demand data center environment. >> Sure. So one of the first services we're launching on CXD is compute on demand, and it's powered by Nutanix. And we had to pick an HCI partner to launch with. And we looked at players in the space. And as you mentioned, there's actually a lot of them, more than I thought. And we had a lot of conversations, did a lot of testing in the lab, and Nutanix really stood out as the best choice. You know Nutanix has a lot of focus on things like ease of deployment. So it's very simple for us to automate deploying compute for customers. So we can use foundation APIs to go configure the servers, and then we turn those over to the customer which they can then manage through Prism. And something important to keep in mind here is that you know this isn't a manged service. This isn't infrastructure as a service. The customer has complete control over the Nutanix platform. So we're turning that over to them. It's connected to their network. They're using their IP addresses, you know their tools and processes to operate this. So it was really important for the platform we picked to have a really good self-service story for things like you know lifecycle management. So with one-click upgrade, customers have total control over patches and upgrades. They don't have to call us to do it. You know they can drive that themselves. >> Got it. Any other final words around like what do you see of the partnership going forward? >> Well you know I think this would be a great platform for Xi, so I think we should probably talk about that. >> Yeah, yeah, we should talk about that separately. Thanks a lot, Jason. >> Thanks. >> All right, man. (audience clapping) So as we look at the full journey now between obviously from invisible infrastructure to invisible clouds, you know there is one thing though to take away beyond many updates that we've had so far. And the fact is that everything that I've talked about so far is about completing a full blown true IA stack from all the way from compute to storage, to vitualization, containers to network services, and so forth. But every public cloud, a true cloud in that sense, has a full blown layer of services that's set on top either for traditional workloads or for new workloads, whether it be machine-learning, whether it be big data, you know name it, right? And in the enterprise, if you think about it, many of these services are being provisioned or provided through a bunch of our partners. Like we have partnerships with Cloudera for big data and so forth. But then based on some customer feedback and a lot of attention from what we've seen in the industry go out, just like AWS, and GCP, and Azure, it's time for Nutanix to have an opinionated view of the past stack. It's time for us to kind of move up the stack with our own offering that obviously adds value but provides some of our core competencies in data and takes it to the next level. And it's in that sense that we're actually launching Nutanix Era to simplify one of the hardest problems in enterprise IT and short of saving you from true Oracle licensing, it solves various other Oracle problems which is about truly simplifying databases much like what RDS did on AWS, imagine enterprise RDS on demand where you can provision, lifecycle manage your database with one-click. And to talk about this powerful new functionality, let me invite Bala and John on stage to give you one final demo. (rock music) Good to see you guys. >> Yep, thank you. >> All right, so we've got lots of folks here. They're all anxious to get to the next level. So this demo, really rock it. So what are we going to talk about? We're going to start with say maybe some database provisioning? Do you want to set it up? >> We have one dream, Sunil, one single dream to pass you off, that is what Nutanix is today for IT apps, we want to recreate that magic for devops and get back those weekends and freedom to DBAs. >> Got it. Let's start with, what, provisioning? >> Bala: Yep, John. >> Yeah, we're going to get in provisioning. So provisioning databases inside the enterprise is a significant undertaking that usually involves a myriad of resources and could take days. It doesn't get any easier after that for the longterm maintence with things like upgrades and environment refreshes and so on. Bala and team have been working on this challenge for quite awhile now. So we've architected Nutanix Era to cater to these enterprise use cases and make it one-click like you said. And Bala and I are so excited to finally show this to the world. We think it's actually Nutanix's best kept secrets. >> Got it, all right man, let's take a look at it. >> So we're going to be provisioning a sales database today. It's a four-step workflow. The first part is choosing our database engine. And since it's our sales database, we want it to be highly available. So we'll do a two node rack configuration. From there, it asks us where we want to land this service. We can either land it on an existing service that's already been provisioned, or if we're starting net new or for whatever reason, we can create a new service for it. The key thing here is we're not asking anybody how to do the work, we're asking what work you want done. And the other key thing here is we've architected this concept called profiles. So you tell us how much resources you need as well as what network type you want and what software revision you want. This is actually controlled by the DBAs. So DBAs, and compute administrators, and network administrators, so they can set their standards without having a DBA. >> Sunil: Got it, okay, let's take a look. >> John: So if we go to the next piece here, it's going to personalize their database. The key thing here, again, is that we're not asking you how many data files you want or anything in that regard. So we're going to be provisioning this to Nutanix's best practices. And the key thing there is just like these past services you don't have to read dozens of pages of best practice guides, it just does what's best for the platform. >> Sunil: Got it. And so these are a multitude of provisioning steps that normally one would take I guess hours if not days to provision and Oracle RAC data. >> John: Yeah, across multiple teams too. So if you think about the lifecycle especially if you have onshore and offshore resources, I mean this might even be longer than days. >> Sunil: Got it. And then there are a few steps here, and we'll lead into potentially the Time Machine construct too? >> John: Yeah, so since this is a critical database, we want data protection. So we're going to be delivering that through a feature called Time Machines. We'll leave this at the defaults for now, but the key thing to not here is we've got SLAs that deliver both continuous data protection as well as telescoping checkpoints for historical recovery. >> Sunil: Got it. So that's provisioning. We've kicked off Oracle, what, two node database and so forth? >> John: Yep, two node database. So we've got a handful of tasks that this is going to automate. We'll check back in in a few minutes. >> Got it. Why don't we talk about the other aspects then, Bala, maybe around, one of the things that, you know and I know many of you guys have seen this, is the fact that if you look at database especially Oracle but in general even SQL and so forth is the fact that look if you really simplified it to a developer, it should be as simple as I copy my production database, and I paste it to create my own dev instance. And whenever I need it, I need to obviously do it the opposite way, right? So that was the goal that we set ahead for us to actually deliver this new past service around Era for our customers. So you want to talk a little bit more about it? >> Sure Sunil. If you look at most of the data management functionality, they're pretty much like flavors of copy paste operations on database entities. But the trouble is the seemingly simple, innocuous operations of our daily lives becomes the most dreaded, complex, long running, error prone operations in data center. So we actually planned to tame this complexity and bring consumer grade simplicity to these operations, also make these clones extremely efficient without compromising the quality of service. And the best part is, the customers can enjoy these services not only for databases running on Nutanix, but also for databases running on third party systems. >> Got it. So let's take a look at this functionality of I guess snapshoting, clone and recovery that you've now built into the product. >> Right. So now if you see the core feature of this whole product is something we call Time Machine. Time Machine lets the database administrators actually capture the database tape to the granularity of seconds and also lets them create clones, refresh them to any point in time, and also recover the databases if the databases are running on the same Nutanix platform. Let's take a look at the demo with the Time Machine. So here is our customer relationship database management database which is about 2.3 terabytes. If you see, the Time Machine has been active about four months, and SLA has been set for continuously code revision of 30 days and then slowly tapers off 30 days of daily backup and weekly backups and so on, so forth. On the right hand side, you will see different colors. The green color is pretty much your continuously code revision, what we call them. That lets you to go back to any point in time to the granularity of seconds within those 30 days. And then the discreet code revision lets you go back to any snapshot of the backup that is maintained there kind of stuff. In a way, you see this Time Machine is pretty much like your modern day car with self driving ability. All you need to do is set the goals, and the Time Machine will do whatever is needed to reach up to the goal kind of stuff. >> Sunil: So why don't we quickly do a snapshot? >> Bala: Yeah, some of these times you need to create a snapshot for backup purposes, Time Machine has manual controls. All you need to do is give it a snapshot name. And then you have the ability to actually persist this snapshot data into a third party or object store so that your durability and that global data access requirements are met kind of stuff. So we kick off a snapshot operation. Let's look at what it is doing. If you see what is the snapshot operation that this is going through, there is a step called quiescing the databases. Basically, we're using application-centric APIs, and here it's actually RMAN of Oracle. We are using the RMan of Oracle to quiesce the database and performing application consistent storage snapshots with Nutanix technology. Basically we are fusing application-centric and then Nutanix platform and quiescing it. Just for a data point, if you have to use traditional technology and create a backup for this kind of size, it takes over four to six hours, whereas on Nutanix it's going to be a matter of seconds. So it almost looks like snapshot is done. This is full sensitive backup. You can pretty much use it for database restore kind of stuff. Maybe we'll do a clone demo and see how it goes. >> John: Yeah, let's go check it out. >> Bala: So for clone, again through the simplicity of command Z command, all you need to do is pick the time of your choice maybe around three o'clock in the morning today. >> John: Yeah, let's go with 3:02. >> Bala: 3:02, okay. >> John: Yeah, why not? >> Bala: You select the time, all you need to do is click on the clone. And most of the inputs that are needed for the clone process will be defaulted intelligently by us, right? And you have to make two choices that is where do you want this clone to be created with a brand new VM database server, or do you want to place that in your existing server? So we'll go with a brand new server, and then all you need to do is just give the password for you new clone database, and then clone it kind of stuff. >> Sunil: And this is an example of personalizing the database so a developer can do that. >> Bala: Right. So here is the clone kicking in. And what this is trying to do is actually it's creating a database VM and then registering the database, restoring the snapshot, and then recoding the logs up to three o'clock in the morning like what we just saw that, and then actually giving back the database to the requester kind of stuff. >> Maybe one finally thing, John. Do you want to show us the provision database that we kicked off? >> Yeah, it looks like it just finished a few seconds ago. So you can see all the tasks that we were talking about here before from creating the virtual infrastructure, and provisioning the database infrastructure, and configuring data protection. So I can go access this database now. >> Again, just to highlight this, guys. What we just showed you is an Oracle two node instance provisioned live in a few minutes on Nutanix. And this is something that even in a public cloud when you go to RDS on AWS or anything like that, you still can't provision Oracle RAC by the way, right? But that's what you've seen now, and that's what the power of Nutanix Era is. Okay, all right? >> Thank you. >> Thanks. (audience clapping) >> And one final thing around, obviously when we're building this, it's built as a past service. It's not meant just for operational benefits. And so one of the core design principles has been around being API first. You want to show that a little bit? >> Absolutely, Sunil, this whole product is built on API fist architecture. Pretty much what we have seen today and all the functionality that we've been able to show today, everything is built on Rest APIs, and you can pretty much integrate with service now architecture and give you your devops experience for your customers. We do have a plan for full fledged self-service portal eventually, and then make it as a proper service. >> Got it, great job, Bala. >> Thank you. >> Thanks, John. Good stuff, man. >> Thanks. >> All right. (audience clapping) So with Nutanix Era being this one-click provisioning, lifecycle management powered by APIs, I think what we're going to see is the fact that a lot of the products that we've talked about so far while you know I've talked about things like Calm, Flow, AHV functionality that have all been released in 5.5, 5.6, a bunch of the other stuff are also coming shortly. So I would strongly encourage you guys to kind of space 'em, you know most of these products that we've talked about, in fact, all of the products that we've talked about are going to be in the breakout sessions. We're going to go deep into them in the demos as well as in the pods. So spend some quality time not just on the stuff that's been shipping but also stuff that's coming out. And so one thing to keep in mind to sort of takeaway is that we're doing this all obviously with freedom as the goal. But from the products side, it has to be driven by choice whether the choice is based on platforms, it's based on hypervisors, whether it's based on consumption models and eventually even though we're starting with the management plane, eventually we'll go with the data plane of how do I actually provide a multi-cloud choice as well. And so when we wrap things up, and we look at the five freedoms that Ben talked about. Don't forget the sixth freedom especially after six to seven p.m. where the whole goal as a Nutanix family and extended family make sure we mix it up. Okay, thank you so much, and we'll see you around. (audience clapping) >> PA Announcer: Ladies and gentlemen, this concludes our morning keynote session. Breakouts will begin in 15 minutes. ♪ To do what I want ♪

>> Announcer: Live from Barcelona Spain, it's theCube. Covering Cisco Live 2018, brought to you by Cisco, Veeam, and the theCUBE's ecosystem partners. (electronic music) >> Okay, welcome back everyone. This is theCUBE's live coverage at Cisco Live 2018 in Europe. I'm John Furrier, cohost of theCUBE with my partner in crime this week, Stu Miniman, analyst at Wikibon.com. Also, cohost at all the events we go to, most of the events I should say. Our next guest is Ashutosh Malegaonkar, who's the Principal Engineer at Cisco DevNet, involved in a lot of the great projects in Sandbox we're going to talk about. Welcome to theCUBE. >> Thank you. Thank you for having me, John. >> Thanks for coming on. >> One of the exciting stories here is the DevNet momentum continues. Congratulations to your team. >> Ashutosh: Thank you. But you're involved in a couple cool parts of the projects that we notice was getting a lot of traction, co-create a sandbox. >> Ashutosh: Yes. >> First, take a minute to talk about what that project is and why is it so popular. >> Yeah, so as you know DevNet is becoming the key core for Cisco and one of the things that we did in DevNet is like, it's a strategic initiative where we said that we are going to call it co-creations. And what that means is we are co-creating with Cisco's strategic partners, that's one. The second is that we are taking our customers, like our top 10 customers, our top 100 customers, our partners, and our developers. So we are looking at each of these three categories and saying, how can we actually help and take that to the next level with DevNet. >> So you're sharing a lot of resource. Is is the same project? Do people bring their own project to the table? How does it work? >> Yeah, so it's both. So for example, first let's talk about strategic initiatives where ... a strategic partner sorry. And in there we have Apple and Google as our strategic partners. With Apple, what we have done is we have actually created a Fast Lane Validation program and what that does is, with Fast Lane as a product, what we are doing is any app developer who wants to use application quality of service, we actually help them validate that application in DevNet. And one of the things that we noticed is app developers really don't understand quality of service, QOS, and as soon as we say quality of service they freak out. And so we have to actually handhold them, let them understand what it means and then we actually help them take their application on the path. >> I mean there's a lot of things in networks that are like that. Deep packet inspection, people freak out and QOS, but QOS is a very important feature. >> Ashutosh: It is. >> Big time. >> It is and that's one thing that we are basically saying how can network be the platform where you can use performance as a building block? And if you heard Susie and her keynote, that's what she was stressing on, right? We want to have that as a building block for developers. >> Yeah, really interesting points. One of the things we've been digging in the last few days is kind of the changing partner ecosystem. There's some partners that have been with Cisco for decades, networking, infrastructure, but Apple, not a traditional Cisco partner. The other one, you mentioned Google. >> Ashutosh: I did, yeah. >> So I believe Google's here doing some presentations. John and I have been digging in to all the C and SEF projects so what's Google doing here. >> Yeah, so with Google, what Cisco has done is we are coming up with our hybrid or multi-cloud strategy and in the hybrid cloud strategy what we are doing is there things where, if I'm an app developer, on-prem app developer and I want to access services which are in the cloud. Now what the partnership does is we have our security services all the way from on-prem to the cloud deployed in the Google Cloud system and as an app developer I can do my services on-prem but access some services which are in the cloud. So that's one application. Second is that if I'm an app developer working only in the cloud but I want to access some of the services which are on-prem, than how do I do it? And that's what this partnership is also helping out. >> Great. How's the reaction been of the Cisco Live audience here? How many people are lining up to come listen to Google talk about Istio? >> Yeah, so Istio is one part, but Kubernetes, like if you look at our sandbox, like it's becoming one our most popular sandbox in DevNet and Kubernetes is part. And with the Google partnership we are also working with Google on Istio. It's an open source project and what we have done is we have created a sandbox for Istio and that is also it's kind of an industry first, where developers are able to go through a learning lab to actually understand what it means. >> Yeah, absolutely. John and I were at the KubeCon show. We interviewed Lou from the Cisco team, heavily involved in the open source. But yeah, one of those things, how do we simplify it, how do we help people get the on-ramp? Sandbox is a great way for people to get started. >> Ashutosh: That's correct, that's correct. >> One of the things that we're excited about and this something that we're going to be doing, digging into all year is the impact of Kubernetes. And the sandboxing points to the trend of how people are partnering. I think you guys struck a really interesting form in this co-creation model because if you look at what service meshes are doing in markets is that the more that you can make it easier for developers and at the same time enabling the engineering side of it, getting down and dirty. We're talking about QOS, we're talking about plumbing stuff. There's still a lot of automation being done under the hood. This is the network opportunity, this is where we're seeing automation around provisioning and configuration management and all that good stuff. That needs to get done but it has to be addressable for true programmability. We're not there yet, but we're almost there. >> Ashutosh: We're getting there, yes. >> What's your reaction to that, a 19-year veteran at Cisco? Cisco has an inherent advantage having the network, so looking up, that's been enabling, but now you have people who want to look down and program into you. Kind of new dynamic. >> It is, it is. >> How are you guys looking at this? >> So the way I look at it, as you said, I've seen Cisco grow. I mean, I've grown up in the company and one of things, Cisco being the expert in networking, we have experts now which are getting to doing everything, in a sense. Like the edge is where a lot of stuff is happening and when you deploy edge services you also need stuff that needs to be done in the cloud. So for example, one of the examples I like to do is let's take machine learning as a good example, where I want to download some models, machine learning models onto the edge but the traffic is actually all at the edge, so I'm taking all the inputs from the edge, taking at the edge, calculating things, and then the models are being built in the cloud because I can't build those at the edge. So that's the thing that is happening now and what we see here is that Cisco is in the midst of both edge as well as cloud. >> And IoT was going to be very instrumental. If you talk to the pure networking nerds and geeks out there, they're going to say, "Edge? "We've been doing edge of the network for years." But now the edge is extending, right? To IoT so it's not a new concept for Cisco at all, is it? >> Its not. It's not new at all. Because as I said, something very similar to what we are doing for the Apple Fast Lane, as I told you before, like now the app developer has the ability to give QOS right at the app level. It's the same thing like with IoT. It's like all the devices are connected to Cisco. >> And this is what's going to be- it's fun to watch because you guys now have compute to throw at the edge, you have cloud that you can connect to the edge, but this going to change the nature of programming. Stateful and stateless applications become a really interesting dynamic. What's your reaction to that trend of as developers start to really start thinking about state? >> Sure, so one of the things that ... Again I go back to the edge thing where like if you have a tunnel and then there are cars passing by, you are actually looking at the cars as, let's say a stream of dots. Now that state you cannot be giving and storing it somewhere so you basically keep it at the edge, you figure out what's happening, compute, and take some actions there itself. >> That' where the action is. Ashutosh, thank you for coming on theCUBE and sharing your knowledge, appreciate it. Congratulations on the co-creation Fast Lane service you guys have, among other things. The collaboration model is the future. Cisco's really demonstrating that in the DevNet zone so props to the team. It's theCUBE, we always collaborate, sharing the best content here live in Barcelona with you. I'm John Furrier, Stu Miniman. More live coverage, day two of our two days wall to wall live coverage of Cisco Live 2018 in Europe. This is theCUBE. Be right back with more after this short break. (electronic music)

>> Narrator: Live from San Fransisco, it's theCUBE covering Samsung Developer Conference 2017. Brought to you by Samsung. >> Okay welcome back everyone here live in San Fransisco at Moscone West, is theCUBE's exclusive coverage of Samsung Developer Conference #SDC2017. I'm John Furrier co-founder of SiliconANGLE media, co-host of theCUBE. My next guest is artist, director, and producer Rob Prior, at Robprior.com. Great to have you, thanks for spending time. >> It's good to be here. >> Alright. Great to have you. You're super impressive. I was amazed by the work behind me on the wide shot. Can we go to the wide shot? You can see the work you've done. You were just here behind us on the main Disruptor studio with Stan Lee who was Marvel Comics, legend in the industry. >> Legend. >> I mean absolutely legend. And he's here promoting, you know, the edge of the network with Samsung. Games and all that good stuff, part of the developer conference. >> Yeah. >> But you were up there painting with both hands in real time. And did this art. >> Yeah, it was less than an hour, I think this one was. I don't know I don't even keep track anymore. I'm just like... >> So you do both hands. So how did that come about? How did you get to the two hands? >> When I was about, alright, I was going to be an artist no matter what. My entire family line were artists, but none by profession. So, I was kind of not even given a choice. So I got to be about 10 years old and I thought the same thing that every 10 year old thinks, "what if I loose my right hand?". No 10 year old thinks that. So I switched at 10. I switched to, you know I was born a righty, I switched to be a lefty. I switched everything. I switched, you know, baseball, how I threw a balls, playing guitar. I switched everything over. So for two years, no mater how much any one begged me, to like, my grades were going down, cause no one could read my writing, cause I'm like... >> Cryptic. >> Yeah it was weird, and so at that point I made my left hand as good as my right hand. And I was published very young. I was published at 13, internationally at 15. And 13, when I got published, I had math homework due, and I had a painting, a cover due. And I'm like oh my god how am I going to do, I mean. >> Screw the homework, I'm going to do the painting. >> Yeah, so I picked up two brushes and I'm was oh yeah I can do this. Then I actually figured out that I could do my math homework and paint simultaneously. I shut my eyes apparently, when, I don't know when I do it, but when I paint, my eyes are shut a lot of the time. >> Wow, that's awesome. So great skills, so it gets it done faster, but it's also creative. Talk about your work, your artistry, cartoons. You started doing, what did you get into first? And how did your career evolve? Take us through the evolution of your career, because now in the tech scene, you're doing some awesome art, but we live in a digital world. >> Yeah. >> How's that? You're doing cartoons, covers. >> When I first started out, I was doing interiors. Like just pen and ink interiors. And then I started moving into color painted covers, and, you know, sort of gradually went from, you know from black and white work to full color work, to being, doing a lot of different magazine covers, book covers. You name it. I worked heavily with TSR, which is Dungeons and Dragons at the time. >> Yeah. >> And I just sort of moved forward and kept... >> And you got then you got to Hollywood started with movies. What movies did you work on? >> Oh my god, I've worked on a lot of low budget movies. I worked on TV series like Buffy the Vampire Slayer, Firefly, Angel. God, so many. I mean, like literally that whole era of TV shows. You know, movie wise I've done stuff with Fast and the Furious. Wow, it's amazing, when you get asked, when you have a giant body of work. When you ask that question all I see are ducks going across. >> Well you just came off stage, so you're really in painting mode now, and you just did this painting. >> Yeah. And how long did it take you do this one? >> I'm sorry? >> This art, how long did it take you to do this one? >> This was a little under an hour. I painted one earlier as well on the main stage during the keynote speech. And that one took me 45 minutes or something like that. >> So they're giving their talk, and you're painting away. >> Yep. >> And you've done this at concerts? >> Yeah >> Tell us what other venues have you done? >> Things like this. I've done it with concerts. People like Tech N9ne, Linkin Park, you know, Steve Aoki, Flo Rida, just to name a few. So I do it while they're performing. So I'll do a full, like, four foot by eight foot painting in about an hour and a half. But when I'm doing gallery work it takes me about a day, maximum two days a painting. >> Yeah. Well you're considerable talent. You mentioned before we came on camera, you're going to do the Linkin Park memorial at the Hollywood Bowl. >> I am, I'm going to be painting there on the 27th, at the Hollywood Bowl. You know, there's going to be a lot of people there, just, you know I think they said the tickets sold out in, like, 39 seconds, or, it was crazy. >> Yeah. >> But I'm fortunate to be able to do that. >> Yeah. >> And pay my respects as well, so. >> Well great work you're doing. I'm really inspired by that because one of the things we're passionate about at SiliconANGLE and theCUBE here is social science, arts, and technology coming together. That's clearly a trend that's happening. I start see the younger generation too coming into this world, and certainly, you have four kids, I have four kids too. We talked about that earlier, but, they're getting immersed in this digital culture and might miss out on some of the analog art. >> Absolutely. >> And what's your thoughts on that, because, this is like, you do both right. >> Yes. >> So you get your hands dirty, I see your hands are dirty. >> Yep they're filthy. >> Good job, you really roll up your sleeves, little pun intended. So, this is the key to success. Share your thoughts and vision for the younger generation and other artists out there, because art will be the front and center piece of technology inspiration, user interface, gaming, augmented reality. >> No, absolutely, you know what, here's the thing. And this is something that you and I were talking about just a little bit ago. I think the, we as humans have a choice. You know, especially kids nowadays they can go and they can be fully immersed, but then they miss all the other things, you know. I've seen kids at tables texting each other instead of talking. But I think if you take the analog era, the thing, like the live painting. Cause I use, I'll take a picture of this I'll pour it into the computer, ill clean it up, and I'll do that. I think mixing the two worlds is vital, you know, in advancing forwards as humans. I mean that's just my opinion, I try to teach my kids that as well. >> Yeah. >> You can't forget about the real world. >> Yeah. >> Because the real world's going to be here no matter what. >> Yeah. >> So, you know- >> And then game developers are out there right now working on a lot of ideas, inspiration, you've drawn monsters before. >> Absolutely >> Some of the characters here from Marvel with Stan Lee. There is, do you need the creative spark? >> Oh absolutely. And look there are, creative spark, anything can be a tool. You know, so, the computer, doing computer art is an amazing opportunity to explore a new kind of tool, right? To invent and create new creatures or new things. It's all on how you use it. And then you get the people, I said this on stage the other day, you get people who are taking photos and then pressing 27 filters and calling it art. I think you have to go backwards and, once again, be able to do the analog. Write your story, create your idea and take any tool that's available and make it happen. Whether it's to picking up a paintbrush, whether it's getting on a computer on a Wacom tablet. >> So you think that's practice from a young artist standpoint is get down and dirty, get analog. >> Absolutely. >> And that's your inspiration sandbox, if you will. >> Absolutely, you know, and I think, here's an example. It's hard to have a gallery show of all digital stuff. Beause then it's just prints of things that you've done. There's no brush strokes, there's nothing there. And a lot of art collectors want to see the stroke. They want to know it's one-of-a-kind, that's it. >> Yeah the prototype. >> Yeah >> Or whatever the inspiration was. It's inspiring. >> Absolutely. So I tell all artistes, and even to the best computer artists, I'm like, go analog, get your hands dirty, paint. And let that speak as well. >> I've been lucky at my age to see a bunch of waves of innovation in technology. It's super exciting. I'd love to get your thoughts, from your perspective, and the artistry community, and you've been in L.A., over the past 10 years, maybe even 20, but say 10 an easier number. 10 years ago the Iphone wasn't even out, right? >> Oh god. >> So actually, 10 years ago it was the Iphone, but let's say 11 years ago. There was no Iphone, there was, YouTube just hit the scene. So this whole digital culture has just shifted. >> Oh absolutely. >> Apple was a no name company in 2000, right? Micheal Dell once said, " They should give the stock back to stockholders". (laughter) So Steven Jobs proved them all wrong. What is the scene like in your world around the last 10 years? What's been the disruptive change? Where's the enablement? What's been bad? What's been good? What's your thoughts? >> You know, in the art world itself, it's something I just mentioned, what's disrupted the art world, is people coming in and literally just being, what I call, a button pusher artist. You know, they figure out a filter or a tan, or whatever, they make art on their phone, and they're like. And that disrupts a lot of things. Because then it shows, or can teach, kids or artists, or anybody. People our age, whatever, it doesn't matter. That it's okay to do that and skip all of the steps, and I think that's the biggest point is the technology has allowed people to think they can skip steps, but you can't. You can never skip the step- >> What's the consequences of those steps skipping. What's the consequence there? >> So, if that's what you are, and you've figured out filters, and you get hired to do a job, because maybe you're the greatest filter button pusher in the world. But then all of the sudden your computer goes out. What do you do? >> Call Apple Care. >> Yeah, there you go. >> Cheese bar appointment. >> I know, I konw You're screwed basically. >> You are. I mean, I knew way back in the 20 years ago, if you were versed in drawing cars, and you got a job doing storyboards for a commercial, and all of the sudden they said, "Hey we're changing everything. Now we're taking out all the cars and now it's real people". If you're not good at drawing real people, you lost your job. Same basic concept. >> Yeah. >> You have to take it all in, you know, in a giant ball. And for the people who are like, "I don't want to touch a computer". Man, that's- >> So it works both ways. >> Absolutely works both ways. >> So what you're saying, if I get this right, is the computer's a great enable and accelerant of a finished product. >> Rob: Absolutely. >> So you use it, you'll take this print you did behind us, you'll touch it up, and you'll turn it into posters, you'll sell it, you'll syndicate it. >> Yep. >> Etcetera, etcetera, but you did the work here in an hour. With both hands. You did it just on the fly, total creative, creativity. >> Yeah, I mean, today's world, I think, if we let things go too much then the computer takes over and we loose a part of ourselves. >> And what about your social friends. Like musicians, you know? >> Oh my god. >> So what's the musician vibe, same thing? I mean tools are out there now, my son's doing some stuff on Ableton live, he loves that software suite, but he's still laying some guitar licks down. >> Absolutely, and you know, the great thing about in the music scene, I heard this a lot when Pro Tools first came out. Everybody was like, "That's the death of the producer". No, that was the beginning of a different kind of producer. And if you can do things at home and you're good, then it's great. >> What's the culture like in L.A. right now in terms of the creative producer, creator? Cause you've got like a maker culture on the geek side. Robotics, maker culture put stuff together, build some new things. Now you got a creator culture which builds off the maker culture, then you got the builder culture all kind of coming together. What's the success formula in your mind, besides the managing the tools. What's the mindset of the new producer, the new director, the new artist? What do you see as success points? >> These are some of the best questions I've ever been asked. Like, literally in every interview I'm answering the same ones. No, this is great. I think, I think it's a little bit of the wild west out in L.A., you know, and all over. Because, you're forming amalgamations. The director of a movie is no longer, possibly, just a director. He's also working on some of the cinematography. Maybe he's an editor, you know, it's a jack of all trades thing. And I think a lot of the people that had one trade going in, and were really good at it, are finding that they're getting passed up sometimes by the person who can do four or five different things including being able to be versed at technology >> Yeah we're seeing a lot of the things happen in the computer industry, just to share on my side of the table. Data scientist is the hottest job on the planet. Doing data. Some of the best data scientists are anthropologists. >> Really? >> Like weird majors in college. But they have a unique view of the data. They're not parochial in their thinking. They're looking at it differently. Or they have a math background, and obviously math is pretty important in data science, but also, it's not just prototypical, you got to be this spec. It's a little bit of a different artsy kind of a feel, cause you got to be, look at things differently. You got to be able to rotate around 360. >> And that's exactly it. That you've got to have, you got to be thinking outside of the box at all times nowadays. >> Well Rob what's next for you? What' going on? You got a lot of things going on. >> Rob: Oh wow. >> You got a lot of business ventures, you make a lot of money on your prints, you're famous. You're exploring new territory. What are some of the boundaries you're pushing right now creatively, that's really getting you excited? >> Well, I'm going to be directing a movie coming up. Which I find great because it allows me to take every bit of all the things I know and put it into a package, that's fun. I've got several gallery shows coming up. I've got a gallery show that I'll be doing with Stan, which will be New York and L.A. And, just getting on stage with more and more bands. You know, I think- >> You're a cult of personality, what's it like working with Stan? He's a cult of personality. >> Oh my god, Stan is, Stan's great. >> People yelling stuff at him, "hey what do you think about that". I mean there's a lot of culture in the Marvel Comics world. >> Oh man he, you know, and look he's like what, 95. And he's got more energy than I do. Literally last night, we're all out to dinner and I left before everybody else did. Stan outlast me. A 95 year old guy, and I'm like, "I'm too tired, I got to go to bed". And Stan's still going, you know. >> The energizer bunny. >> He's an animal. >> Well great for coming on. Thanks for the inspiration. Great art, got amazing art right here >> Thank you so much for having me man. >> Great job, congratulations. >> Thank you >> Good to see the arts. Analog and the digital worlds connecting. This is the key to success in the technology business. Bringing an artisan mindset to great technology for vital benefits. That's what theCUBE believes, we believe it. And so does Mr. Prior here. Check out the art, robertprior.com. Check it out. Robprior.com. It's theCUBE live from San Francisco. More after this short break. >> Thanks for having me.

>> Narrator: Live from San Francisco, it's TheCUBE. Covering Samsung Developer Conference 2017 brought to you by Samsung. (techno music) >> Hello there and welcome to the special exclusive coverage of Samsung Developer Conference 2017 here at the Moscone West in San Francisco, TheCUBE's coverage. I'm John Furrier, the co-founder of SiliconANGLE Media and co-host of TheCUBE. We're here with Leah Hunter: author, thought leader, covers technology design, women in tech, a variety of things author at O'Reilly's Safari Books, Fast Company, Forbes, among a lot of other things you've done. Welcome to TheCUBE conversation here at the Samsung Developer Conference. >> Thank you. I appreciate it. >> So, Samsung obviously is tied with Google. We saw Google onstage. The story we're seeing here emerging is the edge of the network of mobile devices. That means the humans involved. That means the consumer and the technology are intersecting. This has been a big part of TheCUBE coverage, we've been looking at this for a while. We were just in China talking with Alibaba Cloud and the design ethos culture. Not just creating user experience, that's been out for a while, but it's not about speeds and feeds anymore. It's about enabling human interactions, we're seeing some bad stuff now. The fake news, all that bad behavior, but now, all the data's out there. This is a big part of the developer design now coming forward. What's your thoughts? >> Well, there are two ways that I see that playing out really powerfully and that it can play out powerfully. One, ethnography and social science is getting embedded into what people are creating now and I'm thrilled to see that, because we're at the beginning of a lot of new technologies, augmented reality is one of my specializations, and we're, you know, sure, it's been around for 60 years if you're counting that way, 15 really deeply, but we're just at the cusp of it really taking hold for consumers. And there's this opportunity for anyone developing AR specifically to build social science ethnography user research into their team to create things in a way that is, like, start as you mean to go on. We can be wise about what our future world looks like. And the second thing is around art. You know, when I came here and I sat down, you mentioned at Alibaba there had just been a conversation about art. Well, in my latest book I interviewed someone who is an artist. His name is Alex Mayhew, he did a bunch of work with Peter Gabriel, he's a digital artist who just happened to slide into technology. And because his background is in something entirely different, he approaches AR in a really different way. He just did something for an art museum in Ontario that's really fantastic and worth checking out. You can actually look up the exhibit. It's called ReBlink. I'm going to write about it, but it's there now. >> Well, you've been covering technology many ways, now you're onto AR, and also you're seeing the front range if you will of these new concepts. But before you get it there, define what ethnography is for the folks that might not know what it is. (laughs) >> Thank you. I forget, okay, so I define ethnography as kind of like seeing the world like a five year old. There's an author that I love, her name is Keri Smith. She writes children's books. I found the first copy of this at the Teat Museum. It's called How to be a Life Artist. But her books are all about close observation, collecting everything, paying attention to the world, and finding everything interesting. Being curious in the same way you do when you're a five year old. Well, that's essentially what an ethnographer does in a business context. They observe, they interview people, they go around and collect data the same way that anyone who's on the data side is doing it with numbers. They do it with quotes and observation and pictures and then aggregate that into a story. >> That brings up a great conversation we're seeing here at the Samsung conference as a trend, a mega trend if you will, and that is the blending of analog and digital. Or, they say, physical to digital. Whatever they want to call it. Internet of things is the tech buzzword, >> (Leah) Yeah >> Internet of things being the senses on devices, or wearables, or things of that nature. That is defined as the edge of the network. This is the big wave that's forcing things to be different at the tech level. So this is where this blending comes in. It's the consumerization of tech. This is a big part of these consumer companies who have to kind of get their act together on cloud computing, and a lot of tech detail. So it's coming down from the edge, the infrastructures being redefined, or replatformed as we say. How do you view that, and what does your data show for you around how companies are reacting, what are the consumer expectations? >> Well, I'm going to speak to what I'm seeing in the world because I approach the world like an ethnographer. I wander around, and I collect interesting bits of things, kind of like a magpie. >> (John) Yeah. >> One thing that I saw this week, or I saw two things that were very interesting. I was just in New York, and I walked past an area where it was branded Amazon, but it kind of looked like a carnival. And I was like, what is going on here? And basically, Amazon is doing pop-ups, I believe they said in 18 cities, they just started in New York, but it's a pop-up where you can text in, and you can buy an item on Amazon that you can't get anywhere else. In this instance it was a Nintendo. You go and you pick it up in this physical space that kind of operates like a carnival and has circusy lights and beautiful trucks and whatever. But I thought that that was the coolest blend, and they also gave me their marketing materials that kind of looked like a ticket to a carnival. But I liked that, because it was a new way a digital focused company is operating in the physical world, to your point. It's a new way of blending those. And Amazon doesn't necessarily have to do it. It's just smart marketing. But it also shows the way that companies are pushing from the internet into the physical world. Now that's also happening in reverse. There's a company I really like called Shimmy that basically uses Kinect sensors to measure your body and make custom-made swimsuits for women. They're using that digital information and they're sort of, like, pushing it, so, yeah. >> Yeah, this is a big thing, I mean, this is about reimagining the future. And I think developers, this is a developer conference, so they tried out all the shiny new toys, Bixby, which is personalization now, IOT, which is kind of a geeky message, but ultimately the developers and the ecosystem partners of Samsung have to create the future together. So the question for you is around how you see the ecosystems developing. I see developers learning more about the real world. Less being behind the wall, if you will. Being the super geeks coding away. You're seeing developers on the front lines. And I think that's super important. I do want to get it noted here that you got a book coming out. >> Yes. >> So tell us what you're working on, cause it's going to ship in December? >> Yeah, I... >> What is the book about? I mean, obviously it's chroniclizing this new wave. What is the book about? Tell us a little bit about the book you're writing. >> So I wrote a book, my last book was about industrial augmented reality specifically, and it was sponsored by PTC, so you can actually go and find it for free. They wanted something that would work around industrial AR, and I wrote it in editorial independence so it is truly my perspective, but what was interesting about that at the time I wrote it, I discovered industrial AR was the most powerful place to play, because there were real world examples of AR actually helping people. >> John: Yeah. >> Now, I've broadened that look to see okay, Goldman Sachs said that there's going to be all this growth. Are the areas that they're looking at, things like education, real estate, you know, construction, is there actually growth there? So it's a broad look at a AR. And it's on O'Reilly's Safari Books. >> John: Well, that's interesting. One of the things that's interesting, you know, I've seen many waves myself, I've been through a bunch of cycles. It used to be the consumers that would lead the trends. But you're bringing up an interesting point around AI, augmented reality, even virtual reality. The innovations coming from the enterprise side. So, industrial IOT is really hot right now cause people are connecting physical plant and equipment. You see drones and it's mostly about industrial, AR's industrial because the use cases are so obvious. >> That's right. >> Not necessarily the consumer side has it yet. So it's almost flipped the entire world around. >> But, with, you know, Pokemon Go, that did sort of give consumers the scent, a scent of, okay, this is what it is you know, with AR kit, it hasn't completely lived up to our expectations, but there has been a flurry of activity around people experimenting to see how it can be applied in a consumer way. And, frankly, you know, there are people like DHL who are starting to roll it out in a way that is somewhere between industrial use and consumer in a broad way. So it's moving there. It is nowhere near ready for it yet. >> Leah Hunter here. A thought leader, writer, author, and a new book coming out. I'll give you the final word. What are you up to? What are you going to do after this event? What's next for you? What's the next couple months look like? Obviously, you've got to jam hard on the book, get that done, what else you working on? >> (laughs) I'm an interesting person to ask that question. I produce a television show called Created Here. I'm flying to Austin after this to interview artists and musicians and shoot our next episode of the show. Then we're going to LA and then New York. >> And where are you based out of? >> Me? >> Yeah. >> San Francisco, New York, a little bit Paris, and some New Orleans. >> You're on the plane a lot. >> I am. I like my life. >> Well, you've got a great life, and obviously great work you're doing. Come by TheCUBE studio in Palo Alto, give us an update on what your findings are as you go get that new perspective of art, artistry, artisans are really going to be the craft, we believe that TheCUBE will be the future of intersecting with technology. More exclusive coverage here in Moscone West in San Francisco, this is the Cube's coverage of Samsung Developer Conference. We'll be right back with more coverage after this short break.