>>Welcome back to Falcon 2022. This is Dave LAN. We get a special presentation segment for you today. This is Walter Wall day one of day two's cube coverage, JC Herrera. Here's my designated cohost. Who's the chief human resource officer at CrowdStrike. Craig Neri is to my left. He's the beneficiary and the beneficiary trustee and ambassador of, of operation Motorsport and former us air force. Thank you for your service. Thank you. And Deel Lauder, who is CEO and co-founder of operation Motorsport. Jen, welcome to the cube. Thanks so much for coming on. Great to be JC set this up for us. Explain your role, explain the corporate giving the whole student connection and the veterans take us through that. >>Yeah, sure. Yeah. So as, as head of HR, one of the, one of the things that we do is, is help manage part of the corporate giving strategy. And, and one of those things that, that we love to do is to also invest in students and in our veterans, it's just a part of our giving program. So this partnership with operation Motorsport is really critical to that. And if you want to dive a little bit deeper into that, we just see that there's a gigantic skills gap in cyber security. And so when we, when there's over millions of open roles around the world and 700,000 of 'em in the us alone, we've gotta go close that gap. And so our next gen scholarships that come out of the, that are giving funds are, are awarded to students who are studying cyber security or AI. And the other side of that is that this partnership with operation motor sport, then we get the opportunity to do some internships with veterans through operation motor sport as well, the >>Number 700,000 now, but pre pandemic. I remember number 3 50, 300 50,000. It's it's doubled now just in the us. Amazing. All right, diesel, tell us about the mission of operation motor sport, like who are the beneficiaries let's get into it. >>So operation motor sport engages ill, injured, wounded service members, those that are medically retiring from the service or disabled veterans, these individuals be taken out of their units. They lose their team identity, their purpose. And, and what we do is those that apply to the program and have a desire to work around shiny objects and fast cars and all the great smells or just car guys or gals that we have some of those as well. They, we, we bring them onto the teams as beneficiaries. So embed them into a race team and give them opportunity to find something new. We're a recovery program. We're not about, you know, finding jobs for these folks. It's about networking and getting outta that, you know, outta the dark places where some of them end up going, because this is a, a huge change for them. And, and in doing so, we now expose them to crowd strike. You know, that's, that's one of the new relationships that, that we have where potentially if they want to, they can pursue new opportunities in areas like cyber security. >>And they're chosen through an application process. You're I'm, I'm inferring. >>Yeah. They just go online and say, you know, through word of mouth or through a friend or through the, the USO and other organizations, they go online and they click the apply here and they fill it out. And our beneficiary trustee, Craig, and calls 'em up and says, Hey, tell me about what you're looking for. And, and we, we pair them up with the race team and Craig, >>You're also a, a beneficiary in addition to being the beneficiary trustee. So explain that, what's your story? >>Right. So I started in this organization as a beneficiary. I was the one that hit the button on the website. And, and then a few minutes later, I got a phone call from then Tiffany Lader, diesel's wife, who's our executive director in the organization. And, and I had that same conversation that I now have with beneficiaries today. I did a, I did a full season with them last year in 2021 as a beneficiary. But at the end I realized how big of an impact that this has with folks. Transition can be very difficult, especially if they're ill injured or wounded. And so I asked if I could help if I could give back, cuz it meant such it had such a big impact on me. I'd like to, to help other veterans as well. Can I >>Ask you what made you hit that button? What made you apply? >>That's a great question. So I was one of the very fortunate ones that had a transition coach. I was in the military for 29 years and had a lot of great connections in the military and, and was connected to a coach, a transition coach and just exploring, you know, what that, what that would look like. And she was the one who said, Hey, why don't we, why don't we explore this passion of Motorsports that you have? My family had been going to, to Motorsports events for, you know, 50 years. And so, so I thought back, all right, this is, I like this idea. Let's, let's pursue this. So a quick Google search and operation Motorsport popped up and I hit the button and >>What programs are available in operation >>Motorsport? Yeah. So diesel kind of outline outlined it. We have basically three different programs. We have the, our immersion program, which is exactly what diesel described, where we take that veteran. And we actually immerse them in a race team. They're doing the, exactly what I was doing, doing tires and fuel and whatever the team needs them to do. We also have our emo sports program where folks who can't do the immersion program, immersion program is takes a pretty big time commitment sometimes. And so they just don't have the capacity or abilities to be able to do those. We could put 'em in our emo sports program where they can do it all virtually we're actually, we have a season going on right now where we, we have veterans racing in that emo sports program. And then we have a, a diversionary therapy program where we have a, a Patriot car corral set up at all these tracks. So they can go out with like-minded individuals and spend the day out there with those folks, other veterans. And we do pit pit tours and, and we get 'em out on the track for a little bit of a, you know, highway speeds, nothing ridiculous. But we, we did doing some highway speeds. So we have a, a few, few different ways for them to be >>Involved. So, so the number three is like a splash in the pond, whereas number ones, the, to like full immersion. Right? Correct. And so what are you doing in the full immersion? What is, what is that like? I mean, you're literally changing tires and, and, and you're >>Yeah. You name it. You're >>In the you're you're you're in that sort of sphere of battle, if you will. Right. >>The beauty of this is we could take somebody's capabilities and skill set and we can match it to whatever that looks like on a race team. Some people come in and have no experience whatsoever. And so we find a team that needs, you know, that has a development opportunities where they could come in, their, their initial job might be to fuel fuel cans or, you know, take tires off the car, wipe the car down, it's little things in the beginning. And then slowly as they start to grow and learn, then they take on bigger roles. But we also have different positions. They can be immersed in, in teams, but they can also be immersed in the series. So we have folks that are doing like tech inspections. We have folks that are doing race control up in the, up in the tower, directing race operations. So we have lots of opportunities, tons of potential. We, we foster those relationships and take the folks, whatever their capabilities and, and abilities are and find the right position for >>'em think, thinking about your personal experience, how, how did it, how would you say it affected you? >>Yeah. To understand that you really have to understand military transition. And I think that's where a lot of the folks that have never experienced this really struggle transition from the military is really difficult. And it's really difficult, even if you're, if you're not broken or you don't have some kind of illness or injury, but you add that factor into at the same time and it could be extremely difficult. And that's why we see like the 22, a day suicide rates with veterans, it's very, very high. Right? And so when you, when you come into this program, it, it is a little bit of a leap of faith, right? This is very new experience for somebody, right? For somebody like myself who had 29 years of experience in the military, very senior person in the military. And now you're at the bottom of the totem pole and trying to figure it all out again, it's, it's a, it's a big jump. But what you realize really quickly is a lot of the things that you experience in the military, you experience in that Pata, same exact things, lots of small team environment, lots of diversity, lots of challenges, lots of roadblocks ups downs, you, you deploy just like you would deploy in, in the military, you bring the cars to a track, you execute a mission, then you pack it up and bring it home. So it's, there's so many similarities in >>The process. I mean, yeah. Diesel hearing Craig explained that there are the similarities sound very clear, but, but, but how did how'd you come up with this idea? It makes sense now in retrospect, but somebody just said, Hey, you know, we have this and we have this and we can marry him or no, not >>Really. And it it's a funny story because I always said, I, I, I don't believe in reinventing the wheel, I believe in stealing the car. And so there's a sister organization that we have in the UK called mission Motorsport. And, and, and they invented this five years before we did. And, and they were successful. And I was, you know, through, through friendships and opportunities, I got to witness it in, in 2016. So went over to, to Wales in the UK and, and watched it in action. And we were there for one race weekend, race of remembrance, which is where we go back to, we'll be going back to November, taking 13 beneficiaries over to race in our own race team for a 12 hour race. And that's a whole other story, but that's where it all started. You know, we, we saw the opportunities and said, wow, they're changing lives through recovery, you know, through motor sport and the similarities and what they were achieving. >>Our initial goal was let's just come back and do this again next year, because we need to bring north American transitioning members over to, to witness this and take part. And then fast forward, we said, why stop there? And we stood up an organization. Now I'll tell you that the organization is not what it was, the, the initial vision. This is not where, I mean, I never imagine that we get to this point this day, especially with the announcement this morning, you know, with the partnership with CrowdStrike, it it's huge for us, but we've evolved into something that was very similar to the initial vision. And that was helping, helping medically transitioning service members with their own personal struggles and recovery. You know, the reason we call it operation Motorsport is because operations have no beginning and no end and our, and what we do makes us so different in that we're not a one and done, we take care of these guys. Even when they become alumni, they, they still come back. They, they come back to volunteer, they come back to check in their friends and, and all kinds. It's really, really neat. And, >>And JC of course, CrowdStrike has an affinity for Motorsports, right? You got the logo on the Mercedes. You you've got the safety car at, this is, I think it's called the safety car. Right. That's it? Yeah. So, okay. So that's an obvious connection, but, but where did the idea germinate for this partnership? >>There's so many things, but first and foremost, I think that the, the values of CrowdStrike and those of operation motors were very much aligned. If you think about it, we, we focus a lot on teamwork. There's no way we do these jobs without the teamwork part. We all love data. These guys are all in the data all the time, trying to figure out, you know, what your adversaries are doing. So there's that kind of component to it. And I'd say the last bit is critical thinking. So when we think about our organizations and how well aligned they are, that was a, that was a no brainer. And into the other side of it, we get the opportunity to do mentorship programs. I mean, I think both ways, hopefully I get invited to the Patriot corral. At some point I can go, go work on a car, but we'll do those both ways or mentorship opportunities. If folks from operation motor sport win a team up with a crowd striker. So >>Do you ever get to drive the car? Or is that just an awful question? No, that's >>A good question. Actually I do from the, from the track to the pits, very slow >>Speeds. They don't let you out in the train. That's right. No, I don't get to go out on the track. Diesel, you ever, you ever drive one >>Of these? I, I, I I've been on, on the track on, on different cars, not in the race cars that, that, that, that are on the team, but something that's unique in the Patriot corral, for instance, because JC brought that up is that when we do these Patriot corrals, part of that program at lunchtime is, is taking the individuals and doing parade laps. And now, you know, a parade lap. Well, what's the fun in that, but you drive highway speeds on a racetrack and your own personal car, following a pace car. That's a pretty cool experience. Cool. >>Yeah, that's very cool guys. Congratulations on this program and all your success and all the, the giving that you do for the community and, and your peers really appreciate you guys coming on the cube and telling me great story. Thanks >>For having, thanks for the opportunity. You're very >>Welcome. All right. Keep it right there. Everybody. Dave ante and Dave Nicholson, we'll be back from Falcon 2022 at the area in Las Vegas. You watching the cube.

>> Welcome back to FalCon 2022. This is Dave Vellante. We get a special presentation segment for you today. This is Walter Wall day one of day two's cube coverage. JC Herrera is here, he's my designated cohost. He's the chief human resource officer at CrowdStrike. Craig Neri is to my left. He's the beneficiary and the beneficiary trustee and ambassador of, of operation Motorsport and former US air force. Thank you for your service. >> Thank you. >> And Diezel Lodder, who is CEO and co-founder of operation Motorsport. Gents, welcome to the cube. Thanks so much for coming on. >> Thank you, Great to be here >> JC, set this up for us. Explain your role, explain the corporate giving, the whole student connection, and the veterans, take us through that. >> Yeah, sure. Yeah, so as, as head of HR, one of the one of the things that we do is, is help manage part of the corporate giving strategy. And, and one of those things that, that we love to do is to also invest in students and in our veterans, it's just a part of our giving program. So this partnership with operation Motorsport is really critical to that. And if you want to dive a little bit deeper into that we just see that there's a gigantic skills gap in cybersecurity. And so when we, when there's over millions of open roles around the world and 700,000 of them in the us alone, we've got to go close that gap. And so our next gen scholarships that come out of the, are giving funds are, are awarded to students who are studying cyber security or AI. And the other side of that, is that this partnership with operation Motorsport then, we get the opportunity to do some internships with veterans through operation Motorsport as well. >> The number is 700,000 now, but pre pandemic I remember number 350, 350,000. It's, it's doubled now just in the US, amazing. All right, diezel, tell us about the mission of operation Motorsport like who are the beneficiaries let's get into it. >> So operation Motorsport engages ill, injured wounded service members, those that are medically retiring from the service or disabled veterans these individuals will be taken out of their units. They lose their team identity, their purpose. And, and what we do is those that apply to the program and have a desire to work around shiny objects and fast cars and all the great smells or just car guys or gals that we have some of those as well. They, we, we bring them onto the teams as beneficiaries. So embed them into a race team and give them opportunity to find something new. We're a recovery program. We're not about, you know, finding jobs for these folks. It's about networking and getting out of that, you know out of the dark places where some of them end up going because this is a, a huge change for them. And, and in doing so, we now expose them to CrowdStrike. You know, that's, that's one of the new relationships that, that we have where potentially if they want to they can pursue new opportunities in areas like cybersecurity. >> And they're chosen through an application process you're, I, I'm inferring. >> Yep. They just go online and say, you know through word of mouth or through a friend or through the, the USO and other organizations, they go online and they click the apply here and they fill it out. And, our beneficiary trustee Craig, and calls them up and says, Hey, tell me about what you're looking for. And, and we, we pair them up with the race team. >> And Craig you're also a, a beneficiary in addition to being the beneficiary trustee. So explain that, what's your story? >> Right. So I started in this organization as a beneficiary. I was the one that hit the button on the website. And, and then a few minutes later, I got a phone call from then Tiffany Lodder, Diezel's wife, who's our executive director in the organization. And, and I had that same conversation that I now have with beneficiaries today. I did a, I did a full season with them last year in 2021 as a beneficiary. But at the end I realized how big of an impact that this has with folks. Transition can be very difficult, especially if they're ill injured or wounded. And so I asked if I could help if I could give back cause it meant such, it had such a big impact on me. I'd like to, to help other veterans as well. >> Can I ask you what made you hit that button? What made you apply? >> Oh, that's a great question. So I was one of the very fortunate ones that had a transition coach. I was in the military for 29 years and had a lot of great connections in the military and, and was connected to a coach, a transition coach and just exploring, you know what that, what that would look like and she was the one who say, why don't we, why don't we explore this passion of Motorsports that you have? My family had been going to, to Motorsports events for you know, 50 years. And so, so I thought back, all right, this is I like this idea. Let's, let's pursue this. So a quick Google search and operation Motorsport popped up and I hit the button. >> And what programs are available in operation Motorsport? >> And so, Diezel kind of outline, outlined it. We have basically three different programs. We have the, our immersion program, which is exactly what Diezel described, where we take that veteran and we actually immerse them in a race team they're doing the, exactly what I was doing, doing tires and fuel and whatever the team needs them to do. We also have our E-motor sports program where folks who can't do the immersion program, immersion program is takes a pretty big time commitment sometimes. And so, they just don't have the capacity or abilities to be able to do those. We could put them in our E-motor sports program where they can do it all virtually. we're actually, we have a season going on right now where we're, we have veterans racing in that E-motor sports program. And then we have a, the diversionary therapy program where we have a, a Patriot car corral set up at all these tracks so, they can go out with like-minded individuals and spend the day out there with those folks, other veterans. And we do pit, pit tours and, and we get 'em out on the track for a little bit of a, you know, highway speeds nothing ridiculous, but we, we been doing some highway speeds. So we have a, a few, few different ways for them to be involved. >> So, so the number three is like a splash in the pond whereas number one's the, like full immersion. >> Yeah, correct, yes. >> And so what are you doing in the full immersion? What is, what is that like? I mean you're literally changing tires and, and you're, >> Yeah. You name it. >> In the, you're, you're in that sort of sphere of battle, if you will. >> The beauty of this is we could take somebody's capabilities and skill set and we can match it to whatever that looks like on a race team. Some people come in and have no experience whatsoever. And so we find a team that needs, you know, that has a development opportunities where they could come in, their, their initial job might be to fuel fuel cans or, you know, take tires off the car or wipe the car down, it's little things in the beginning. And then slowly as they start to grow and learn then they take on bigger roles. But we also have different positions. They can be immersed in, in teams, but they can also be immersed in the series. So we have folks that are doing like tech inspections. We have folks that are doing race control up in the, up in the tower, directing race operations. So, we have lots of opportunities, tons of potential. We, we foster those relationships and take the folks and whatever their capabilities and, and abilities are and find the right position for them. >> Think, thinking about your personal experience, how, how did it, how would you say it affected you? >> Yeah, um, to understand that you really have to understand military transition. And I think that's where a lot of the folks that have never experienced this really struggle. transition from the military is really difficult. And it's really difficult, even if you're, if you're not broke and, or you don't have some kind of illness or injury but, you add that factor into it at the same time and it could be extremely difficult. And that's why we see like the 22 a day suicide rates with veterans, it's very, very high, Right? And so when you, when you come into this program, it's, it is a little bit of a leap of faith, right? This is very new experience for somebody, right? For somebody like myself who had 29 years of experience in the military, very senior person in the military. And now you're at the bottom of the totem pole and trying to figure it all out again, it's, it's a it's a big jump. But, what you realize really quickly is a lot of the things that you experience in the military you experience in that paddock, same exact things, lots of, small team environment, lots of diversity, lots of challenges, lots of roadblocks ups downs, you, you'd deploy just like you would deploy in, in the military you bring the cars to a track, you execute a mission then you pack it up and bring it home. So it's, there's so many similarities in the process. >> I mean, yeah. Diezel hear, hearing Craig explained that there are, the similarities sound very clear, but, but, but how did how'd you come up with this idea? (Diezel laughs) It makes sense now in retrospect, but, somebody just said Hey, you know, we have this and we have this and we can marry them or... >> No, not really. And it, it's a funny story because I always said, I, I, I don't believe in reinventing the wheel I believe in stealing the car. And so there's a sister organization that we have in the UK called mission Motorsport. And, and, and they invented this five years before we did. And, and they were successful. And I was, you know, through, through friendships and opportunities, I got to witness it in, in 2016. So went over to, to Wales in, in the UK and, and watched it in action. And we were there for one race weekend, race of remembrance which is where we go back to we'll be going back to November, taking 13 beneficiaries over to race in our own race team for a 12 hour race. And that's a whole other story but that's where it all started. You know, we, we saw the opportunities and said, wow they're changing lives through recovery, you know through Motorsport and the similarities and what they were achieving, our initial goal was let's just come back and do this again next year, because we need to bring north American transitioning members over to, to witness this and take part. And then fast forward, we said, why stop there? And we, stood up an organization. Now, I'll tell you that the organization is not what it was the initial vision, this not where, I mean I never imagine that we get to this point this day especially with the announcement this morning, you know with the partnership with CrowdStrike, it it's huge for us but, we've evolved into something that was very similar to the initial vision. And that was, helping, helping medically transitioning service members with their own personal struggles and recovery. You know, the reason we call it operation Motorsport is because operations have no beginning and no end and our, and what we do makes us so different in that we're not a one and done, we take care of these guys. Even when they become alumni, they, they still come back. They, they come back to volunteer they come back to check in their friends and, and all kinds, it's really, really neat. >> And, and JC of course CrowdStrike has an affinity for Motorsports, right? You got the logo on the Mercedes. You, you've got the safety car at this. I think it's called the safety car, right? >> That's it, yeah. >> So, okay. So that's an obvious connection, but, but where did the idea germinate for this partnership? >> There's so many things, but first and foremost, I think that the, the values of CrowdStrike and those of operation motors were very much aligned. If you think about it, we, we focus a lot on teamwork. There's no way we do these jobs without the teamwork part. We all love data. These guys are all in the data all the time trying to figure out, you know, what your adversaries are doing. So there's that kind of component to it. And I'd say the last bit is critical thinking. So when we think about our organizations and how well aligned they are, that was a, that was a no brainer. And into the other side of it, we get the opportunity to do mentorship programs. I mean, I think both ways, hopefully I get invited to the Patriot corral at some point I can go, go work on a car but, we'll do those both ways or mentorship opportunities. If folks from operation Motorsport win a team up with a CrowdStrikers. >> Do you ever get to drive the car? Or is that just an awful question? >> No, it's a good question. Actually I do from the from the track to the pits at, you know, very slow speeds. >> They don't let you out on the track? >> That's right, no, I don't get to go out the track. >> Diezel You ever, you ever drive one of these? >> I, I, I, I've been on, on the track on, on different cars not in the race cars that, that, that that are on the team, but something that's unique in the Patriot corral, for instance, because JC brought that up, is that when we do these Patriot corrals part of that program at lunchtime is, is taking the individuals and doing parade laps. And I'll, you know, a parade lap, well, what's the fun in that? but you drive highway speeds on a racetrack and your own personal car following a pace car, that's a pretty cool experience. >> Yeah, that's very cool. Guys, congratulations on this program and all your success and all the, the giving that you do for the community and, and your peers, really appreciate you guys coming on The Cube and telling your story. >> Thanks for having us. >> Thanks for the opportunity. >> You're very welcome. All right, keep it right there everybody. Dave Vellante and Dave Nicholson, we'll be back from FalCon 2022, at the ARIA in Las Vegas. You're watching the cube. (relaxing music)

>>Hello, and welcome back to the cubes coverage of splunk.com here in the virtual studios in Silicon valley broadcasting around the world's a virtual event. Um, John four-year host of the queue. We've got a great guest, Zach brown, chief executive officer of McLaren racing, really looking forward to this interview, Zach, welcome to the queue. Well, thanks for coming on. Thanks for having me. So we have a huge fan base in the tech community. A lot of geeks love the neurons. They love the tech behind the sport. Uh, and Netflix is driving to survive. Series has absolutely catapulted the popularity of F1 in the tech community. So congratulations on all the success in that program and on, and then on the >>Thank you very much, it's been a, it's been a good run. We've won our first race in a while, but we still have a ways to go to get in that, uh, world championship that, uh, >>So for the techies out there and the folks in our audience that aren't familiar with, the specifics of the racing team and the dynamics, take a minute to explain what you guys do. >>Uh, so McLaren racing, uh, which has a variety of, uh, racing teams, uh, a formula one team in indie car team and extremely team and an e-sports team. Uh, we're the second most successful form of the one team in the history of sport. Now 183 wins 182, uh, when I joined 20 world championships and, uh, we're, we're close to a thousand people to, to run a couple of racing cars and, uh, currently third in the championship, uh, with Lando Norris and, uh, Daniel, Ricardo. >>So talk about the, um, the, the dynamics of the spore. Obviously data is big part of it. Uh, we see the, a lot of the coverage. You can see anything can happen overnight. It's very quick. Um, technology has been being, uh, playing a big role in sport. What's your vision on how that's evolving? Are you happy with where things are, uh, and where do you see it going? >>Yeah, it does some interesting stats. So, um, the car that qualifies first at the beginning of the year, if you didn't touch, it would be last by the end of the year. So that's the pace of a development of a, of a formula one car. We change a, uh, and develop a new part on the car every 14 minutes, 365 days, days a year. Um, and technology plays a huge role. Uh, it's, it's probably the most technical, um, evolved sport in the world. Uh, both safety data, uh, the innovation it's it's awesome. And what a lot of people don't know is a lot of what we develop in a formula. One car ends up in other parts of the world, whether it was a ventilators that we helped develop for the UK government, uh, to working with our, uh, various partners or safety and innovation in the automotive industry. >>You know, I love it. I always loved the IOT internet of things, story around cars, because sensors or instrumentation is a big part of it. Um, and it all comes together. So it's pretty, it's not simple. No, give it feel, give it a taste a little bit about what's it. How complicated is it, how you guys pay attention to the details? What's important. Take us through some of the, some of the inside the ropes around the IOT of the sensors and all the data. >>Yeah. So we have over 300 sensors on our race car. We collect the one and a half terabytes of data. Every race weekend, we have a thousand people, um, and the strong majority of those are working around data and technology, as opposed to physically touching the car out of those thousand people, you probably only have about 60 or 70. They're actually touch the race card at a race weekend. We've been doing connected cars for about 25 years. So that's kind of a new thing here to, to most people, but we've been communicating back and forth with our race car for, for decades all around the world. And what a lot of people don't realize is it all starts in our mission control back in our factory in Woking, England. So wherever we are around the world, the racing team actually starts in England. >>So I want to ask you about the personalities on the team. How big is the staff? What's the makeup of the personnel has to get the drivers. They're critical. They're a very dynamic personalities. We'll come to the side question on that later, but what's the staff look like on when you guys put this together. So you get, you get race day and you got back office support. >>What's the team look like? Yeah. So you've got about a thousand people that, that make up the collective team. You'll have about a hundred in marketing. Uh, you'll have about a hundred in finance, HR, and then you kind of get to the, the racing team. If you'd like 800 people, you have about a hundred people traveling to each race, uh, about 50 people back at the factory, working with data and communications that are grand Prix weekend. And then everybody else is designing manufacturing, production laminating. So we run 24, 7 shifts, uh, three shifts, uh, in certain parts. Uh, we develop, uh, 85% of the car changes of what's allowed to be changed start of the year to the, the end of the year. So the development is, is unbelievable. >>I know you're here in the U S for the U S grand Prix in Austin. Um, coming up, I'm just curious how cars get transported. >>Uh, w when we're traveling around the world, uh, they, they travel on 7 47 and are flown around the world. And then when we're in Europe, we have about 18 trucks that were communing around when we're kind of in the European part of the circuit is usually in the middle of the year. But when we're going to Australia or Singapore, Bahrain, those are, those are on planes form of the one actually does that. They give us an allocation of, of space, and then we have to write a check if we need more space than where >>Yeah. We're allowed. Yeah. And that brings up the security question, because honestly, there's a lot of fans, a lot of people are into it. Also, this potentially security risks. Have you guys thought about that obviously like physical moving the supply chain around from event event, but also technology risk. Um, how do you guys think about security? >>Yeah, it's, it's critically important. We've had, uh, fortunately we've not had any breach of our technology. We have had a breach in the late nineties of our radio communications and, uh, it was in Australia, Mika Hakkinen and a fan, uh, who I think was probably having some fun and were able to break into our radio channel and actually asked Mika to pit. He pitted team wasn't ready. And fortunately, we will run in one, two, but we actually had to reverse the drivers. So security is >>Critically important, probably Katie Scrivener, and they all look, I just hack the radio, was talking to the driver. That is a funny story, but it could be serious. I mean, now you have all kinds of >>The stuff going on and, and, you know, there's a lot of money at stake, you know, so, you know, we're fortunate in this particular instance, it didn't hurt us cause we were running one, two, so we could reverse the drivers and the right guide one. Um, but you know, that could decide, uh, a world championship and you have, you know, tens of millions of dollars online, but even besides the economics, we want to win races. >>You know, what's funny is that you guys have a lot of serious on the line stakes with these races, but you're known for having a lot of fun, the team team dynamic. I have to ask you, when you finish on the podium one and two, there's a Shui with the drivers. How'd that go down. It was pretty, pretty a big spectacle online and >>Yeah, it was, it was good, fun. That's something, obviously Daniel Ricardo is kind of developed as his thing when he, uh, when he wins. And, uh, when we were, uh, before we went on the podium, he said to me, you're going to do the shoe. Yes, of course. In the car show you got to do, we have to like a bunch of 12 year old kids, uh, on the podium, but that's where we're just big kids going, motor racing and >>The end of the day. Well, I gotta say you guys come across really strong as a team, and I love the fun and, you know, competitive side. So congratulations on that, I think is good on the competitive side, take me through the advantage, driving the advantage with data, because that's really the theme here at.com, which is Splunk, which they're a big partner, as well as your other sponsors. Data's big, you know, and it's striving an advantage. Where do you see that coming from? Take us through where you guys see the advantages. Yes. >>So, you know, everything we do is, is precision and, you know, every second, every 10th counts and, um, you know, you can get all this data in, but what do you do with this data? And the humans can, uh, real, uh, react as quickly as is, you know, people like Splunk who can help us, uh, not only collect data, but help us understand data. And, um, you know, typically there's one pit stop, which can be the difference between winning and losing. Um, you have all these different scenarios playing out with weather with tire wear competition. And so, you know, we live by data. We didn't, uh, when, in, in Russia, when we, uh, could have, and it was because we got a bit emotionally caught up in the excitement of trying to win the race instead of staying disciplined and focused on, on data. And so it's a very data-driven sport when I'm on the pit wall, there's a thing called racer instinct, which is my 30 years in the sport. And, uh, your experience and your kind of your gut to make decisions. And every time our team makes a decision that I'm sitting there going, I'm not sure that was the right decision. They're staring at data. I'm not, I'm trusting my 30 years of experience. They'd beat me nine out of 10. >>Yeah. I mean, you know, this is a huge topic too, in the industry, explainable AI is one of the hottest trends in computer science where there's so much algorithms involved. The gut instinct is now coming back. What algorithms are available, knowing when to deploy what algorithms or what data to pay attention to is a huge new gut factor. Yep. Can you explain how the young drivers and the experience folks in the industry are dealing with this new instinct full data-driven? >>Yeah. That's, you know, that's what we have 50 people back at the factory doing, and they're looking at all sorts of information coming in, and then they're taking that information and they're feeding it to our head of strategy. Who's then feeding it to our racing director. Who's getting all these data points in from tire to performance, to reliability, and then the human data from both drivers coming through their engineers. And then he gets all that information in. He has to process it immediately and make decisions, but it's, it's a data-driven sport. >>I saw Lando walking around, got a selfie with them. It's great. Everyone's loving it on Twitter. My family, like get an autograph, the future of the sport. He's a young young driver. So that instincts coming in the future sport comes up all the time. The tires are a big discussion point, but also you've got a lot of presets going on, a lot of data, a lot of going on and you see the future where there's remote, you know, kind of video game you're in the pit wall and you can make decisions and deploy on behalf of the drivers. Is that something that >>Well, that technology is there and we used to do that, but now it's been outlawed because there's a real push to make sure the drivers are driving the car. So that technology is here. It has been deployed in the past. We could do it, but we're trying to find as a sport, the balance between, you know, letting the driver do it. So he, or she might make a mistake and a little bit of excitement to it. So, um, we now there are certain protocols on what we communicate. Um, we can't, um, everything has to be driver fed into the car. So we can now you'll hear all sorts of codes that we're talking through, which there are, um, about 300 different adjustments the driver can make on the steering wheel, which is unbelievable. And so that's us seeing information, getting data in coming to conclusions that we're giving him or her information that we think will help make the car >>A lot of new dimensions for drivers to think about when they're being successful with the gut, that the track data everything's kind of coming together. >>Yeah. It's amazing. Um, when you listen to these drivers on the radio, you forget that they're going 200 plus miles an hour. Cause they sound quite relaxed in this very, you know, open and easy communication of here's what I'm feeling with. Again, we're talking all these codes and then we all, because we can hear each other, there's a lot of trickery that goes on. So for a driver to be going to turn a miles an hour, taking this information and then know what code we're talking, are we kind of throwing a code out there to put the competition off is pretty amazing that they can take this all in. >>You know, I wish I was younger again, like we're old school and the younger generation, I was having a few conversations with a lot of the young audience. They wanted me to ask you, when are you guys going to metaverse the tracks? When can I get involved and participate and maybe even make the team, or how do I become more active, engaged with the McLaren racing team? >>And that technology is almost, we're actually, um, that's in development. So I, I think it won't be long before, you know, Sunday you can log on, uh, and, and race Lando around Monaco and be in the race. So that, that technology is around the corner. >>That's the shadow thing to developing. I see that. E-sports just quick. I know you've got to go on, but last minute we have here, e-sports, what's the future of e-sports with the team, >>But e-sports been great for the sport. You know, it's gone from, you know, when I was growing up, it was video games and now it's real simulation. And, uh, so we've held, I think we're going four years into it. Now we were the first team to really develop any sports platform and we've had competitors go on to help us with our simulation. So it's, it's real racially developed the race car before it goes on the racetrack it's in simulation. And that's where e-sports, >>And this is the new advantage. This is a new normal, this is where you guys see the data driving. The >>Definitely. And I think the other thing it is, you know, somewhat stick and ball sports, you can play in school. And motor racing has historically been partying, which can cost hundreds of thousands of dollars. Now with e-sports you have a less expensive platform to let young men and women around the world, but a steering wheel in their hand and go motor racing. So I think it's also going to kind of bring that younger generation of fan and >>There's so much collective intelligence, potentially competitive advantage data. Again, data coming up final word to end the segment, Splunk, big partner on the data side, obviously helping you guys financially, as well as you do need some sponsorship support to make the team run. Um, what's the relationship with Splunk? Take a minute to talk about the plug. >>It's been a, it's been great, you know, they're, they're two big contributors. We need a lot of money to run the racing team. So they're a great partner in that respect, but more importantly, they're helping us with our whole data journey, making smarter, quicker decisions. So their contribution to being part of the race team. And, uh, we used our technology. Um, it has been great. And I think, um, you know, if I look at our technology partners, uh, we have many that all contribute to making a >>Yeah. I mean, it really is nice. It's data inaction, it's teamwork, it's competitive, it's fun. That's kind of a good, good, >>I think fun is the center of everything that we do. It's the center of everything spunk does. Cause I think if you have fun, people enjoy going to working a little bit harder. We're seven days a week. And uh, you know, a lot of teammates you've got to work well together. So I think if you're having fun, you enjoy what you're doing and it doesn't feel like work. >>Congratulations on climbing up in the rankings and everything on your team. Two great drivers. Thanks for coming on the cube. We appreciate it. Thank you. All right. We're here. The key. We like to have fun here and get all the action on the tech side. Honestly, F1 is technology enabled data, driving the advantage and driving to is a great Netflix series. Check it out. McLaren's featured heavily in there and got a great team. Zach brown Siegel. Thanks for coming on. Appreciate it. I'm sure for your host. Thank you for watching.

>> from Austin, Texas. It's Theo Cube, covering pure storage. Accelerate 2019. Brought to you by pure storage. >> Welcome back to the Cube, The leader and live tech coverage. I'm Lisa Martin with David Dante. We got a pretty cool guests coming up next, guys, you may have seen him here on the Q before. He has back Matt Harris, the head of I T for Mercedes AMG, Petronas Motor Sport. Matt, Welcome back. >> Often a >> way got the car over there with excitement. One of the coolest sports I've ever become involved with. Formula One is this incredible mix of technology strategy. All these crazy things you guys that Mercedes have been partners, customers a cure for about what? 45 years? >> 2015. As a customer, we became partners in 2016. >> I wonder if they like to save Mercedes AMG Petunias Motor Sport has had five consecutive years of both constructors championships driver's championships. You're a great position on both for 2019. It was a little bit of a history about the product that you put out on truck every other week and how pure storage is a facilitator of that. >> Yeah, okay, so it's an interest in a story for those that are interested in Formula One, because what you see on the track looks the same. But realistically, every time he goes out, the guarantee will be different. That level of difference could be a simple wing change or configuration, always based on data that we're learning from during a race again. But every week we also have a different car dependent on the track we're going to. So we have two different worlds that basically were to rate on a minute by minute, hour by hour and day by day at the track. But in the factory, that could be the same sort of it oration. But it could also be into weekly or monthly or year for a car. So all of that is based on data. So everything we do is that businesses revolves around data. We never make a change to the car without me now to back it up with empirical knowledge. Even if the driver turns around and tells us they feel something called, they believe something, we will always make sure we have data to back up that decision, So access to data is critical. Compute performance whether it's high performance, compute for our safety, for instance, whether it's for you as an end user, access to data is critical across everything that we do is time critical Time is our currency really as a business if we slow down your job? Generally, that probably means that you've got less time to make the correct decision. Or maybe you have to turn into a guess or a hunch, which that's never a good place to be in our sport. >> No, I would think not. >> I've I recall, from our conversation last year their rules that say, How many people you can have in your entourage like 60. I think it was yes, and at the time I think you said you got, like, 15 Allocated to data. Is that ratio kind of still holding? I >> still exactly the same in our tracks. On environment, they're still the same in the factory. We have more than that, depending on how many people on what time of day, what day of the week. So on a Friday race day, practice day, we can have a minimum. There'll be 30 people in our race support room will be looking at data along with those other 15. But you can have the whole Aargh department or design department or logistics. Whoever could still be looking at data from the track real time, so we can have as many as 4 to 500 looking at data if they want to. And if that's the right thing going on earlier in the season, you generally get more people looking As the season goes on. It's probably more aargh focused, maybe mechanically if we got something new, or maybe the engine division again in a completely separate building in the U. K 40 miles apart, they've got another set of people that will be looking and trolling through data riel time from the but looking really at the power unit rather than the chassis side. >> And you're generating, like roughly half a terabyte a weekend on a race weekend. Is that still about the same? Or is that growing a car >> perspective? It's just under half a terabyte, but we produce up to another half a terabyte of other supporting data with that GPS data, weather data, video, audio, whatever it would be other information to help with the strategy side of things So we're around 77 50 to 1 terabyte for race weekend, >> and each car has about 300 sensors. I think when we spoke with you last year, or maybe you're half ago is about 200 so that's increasing in terms of all the data being captured every race weekend. But one of the things that I love that matter sizes, you know, we're idea at Mercedes is not that unlike I t at other groups who really rely on high performance systems. But you do put out a new product every two weeks and this really extreme range of conditions, your product is extremely expensive as pretty sexy. Like the portability factor. You have to set up a tea shop, have any 20 weekends a year and set it up in what, 36 hours and take it down in six. >> And a nine year old joke about the taking it down in six is a bit like a Benny Hill sketch. It's obviously choreographed and, well, well rehearsed, but we have all the same systems as any normal business would have the tracks. That environment is very different, though we don't have air conditioning in so all the IittIe equipment has to work at the natural ambient air temperature of the country. We're in this year. Believe it or not, Germany and hungry have been our biggest challenge. We've had for the last 43 to 4 years because they had 45 degree air ambient air temperature. So forget humidity for a minute, which is Another kettle of fish probably affects us a bit more, maybe, than the systems, but we're only chucking that air as fast as we can across the components. So we're not putting any cooling into what is probably around the tolerance of most I T systems. So we have to rely basically on air throughput to terminate. Keep kit. Cool. Now the benefit with pure is actually doesn't create any heat, either. There's no riel heat generation, so it's quite tolerant, which helps us get it doesn't create Maur, but the environment we put it into is quite special. But what we're doing is what any business would want to do. Access toe email file systems. What we're trying to do is give it in a performance fashion. People need to make a decision. So in qualifying, for instance, those 300 sensors. That information that we've got from the car, we've got minutes to make a decision based on data. If it takes you too long to get the data off, you can't then look at the data to make a decision. So we have to make sure data in just from the car and then basically multi access from everybody in the factory or the track side is performance enough to make a decision before the car goes back out again. Otherwise, we're wasting track time. >> So you've always had data in this business. Early days was all analog, and it obviously progressed and thinking about what you want to do, Going forward with data. What kind of information or capabilities don't you have? Where that technology in the future could address >> s so interesting. One is technology of the future. If you know what it is, let me know with what we know right now, I think a lot of it's gonna be about having the ability to have persistent storage. But actually the dynamic of the compute resource eso looking at things like kubernetes or anything like that to turn around and have dynamic resource spin up as and when required to do high performance computer calculations based on the data, maybe to start giving us some automated information, I'm gonna be careful of the M l A. I is for our businesses, it's not quite as simple as others because our senior management very technically capable, and they just see it as advanced statistical analysis. So unless you program, it is not gonna give you an answer. Now we've started to see some things this year were actually the computer is teaching us things we didn't ask it to. So we have got some areas where we're beginning to learn that. That's not necessarily the case now, but for us that access to data moving forward, it's probably gonna be compute. Combined with that underlying storage platform, there's going to be critical onstage. You you heard Robin people talking about the ability to have that always present storage layer with the right computer. That's something for us is going to be critical, because otherwise we're gonna waste money and have resource sat doing nothing. >> Is security >> an issue for you? I mean, it's an issue for everybody, but there isn't a game of honor because you got this, you know, little community that you guys trying to hack each other systems. >> So it's an interesting one inside the sport, Actually, no. Because a few years ago there was a very high profile case where data went between two teams and there was £100 million fine's exclusion from the sport for a season. So that's that's >> too big. You don't mess with that. >> But also, if you think of that from our perspective, we've got the Daimler star on here. We cannot afford to have any of that Brenda brand reputational rubbing off on Damon's. So that's a no no other teams I can't talk for. But we're all fairly sensible between ourselves. What will be interesting moving forward is what technologies air in our sport, but actually of the whether their motor manufacturers or not, is their technology in there that they're interested in. Maybe the battery technology from the power unit side of things is that the power unit itself. So are other things actually more interesting to those other >> places. It legal for you, you know, by the rules of sports, a monitor, just data or captured data, whether it's visual, whatever from your competitors. Eso anything, >> this public? Yes, it's fair game. Okay, so we get given all the teams. Actually, we get a standard set of three or four different streams of information around GPS timing on some video feeds and audio feeds on their publicly consumable by the team's. When I say public for a second on those feeds, we can do what we like. You know that there for us to infer information, which we do a lot off, is what helps our strategy team to turn around and actually predict what we might or might not need to do as far as a pit stop or tire degradation. >> And that's where the human element must come into understanding the competent, like to football coaches who who know each other right? >> Well, yes. And now, if you think if you add to that the human element off Well, what happens if one team strategy person changes? Are they gonna make a different call based on the same data? Is their hunch different? Do they think they know better within a team? You can have that discussion. So what happens in another team where they're cars, not as performance so their mindset. Maybe they're thinking differently. Or maybe a team's got the most performance car of the moment and they think that they're going to do X. And we're like, Well, we're gonna do something different than to try and actually catch them out. So do we. Now don't do the normal thing. >> So let's hope >> Gamification I love it. >> Let's look at all. Make a prediction. 2019 is gonna be another Mercedes AMG way. So at the end of the season, all of the data that you have collected from the cars, all the sensors, all the weather data, GPS, et cetera how does pure facilitate in the off season the design of the 2020 car, for example, Where does where does things like computational fluid dynamics? >> Okay, so all of our production data is on pure, whether it's on a ray or blade somewhere, it's on pure storage across the site. So they're involved. Whether you're talking about design, whether you're talking about final element analysis for hyper a ll, the C f. D. Using high performance computer systems, everything some pure so from that point of view, is making sure we're using the right resource in the right place to get the best performance. Now, see if he's an interesting one because we're regulated by the F A a. About the amount of compute that weaken you. He's now. Because of that, you want it to be as efficient as you possibly can. It's not speed but the efficient use off CPU time. So if a CPU is waiting for data, that's wasted, Okay, so for us, it's trying to make sure that whole ecosystem is as efficient as we can. That's obviously an integral part of everything we do, so whether we're wind tunnel testing, whether we're in the dino, the simulators, but everything basically comes back to trying to understand and correlate the six or seven different places we generate data, trying to make sure that when there's a change in the simulator, we understand that change in the real world or in a diner or in safety. So all of that, what pure do is allow us to have that single place to go and look how I perform and always available. And for me, I don't have to have a story. Jasmine. Yeah, we've got a team of people that actually are thinking about that for us at Pure, You know, there is invested in us these days. Yeah, I walk around here, I'm very fortunate. I get to see all of the senior guys here and there. They are asking me what's going on and how's things with sequel Oracle Because they know exactly what we're doing and they're they're trying to say what's coming. So things like object engine Pierre So we've been talking to pure about using that over the coming months. But what? We're not having it at the moment. Go out and learn it. Actually, they coming in and they're telling us all about it. So they become a virtual extension to my team, which is just amazing. >> Yeah, far more efficient. You're able to focus on a much more things that drive value for the business. As we look at some of the things like the Evergreen business model. What were some of the big ah ha we hear is the right solution for us back in 2015. Is that >> so? Evergreen and love. Your stories were two things at the time that we're just incredible for us because love your storage was basically you could have an array and basically you could use it. And there was no commitment, no anything. But if you like that, you could keep it, obviously, paying for it. Ah, nde. When we did that in the factory, basically, within a week of being in there that the team were like, Whoa, hang on, that's going nowhere. So that was That was a nice, easy one. But Evergreen was an interesting one, which has only really, truly for me. I've always bought into it. But the last probably 18 months we've used it time and time and time again because the improvements with the speed of light x 90 coming envy Emmy drives. When we were looking at capacity, what we did was we turned round and said, Well, actually, we can buy more dense units in the next 90 so we're only buying the extra capacity, but we were getting new technology. So nations, all the innovation that you're putting into their products were getting it. So today, when they were talking about the memory based access, and if your things always sat there going, I can use that. Oh, and there's no there's no work for me, there's no effort. The only thing I gotta worry about is whether I've got capacity for that. Those modules to go in. So Evergreen has worked several times because I don't have to go back to the cap export and go. Could I have another x £1,000,000 please? Why? I need some more storage. Yeah, but you bought some of the other day. Yeah, well, that one. I need to get rid of it because I need a bigger one. And I don't have to do that. Now. I just go in. I'm telling them what the increases for which actually, they can choose Then if they want to increase, they know what the business benefit is rather than just I t has got to turn around and either replace it because of age or the new version doesn't support is not an uplift, not upgrade from the old. One >> I've seen was looking at some of your stats and the case study that's currently online on. Imagine these numbers have gone up 68% reduction in data center Rackspace and saving £100,000 a year and operating costs >> those that would have been probably two years ago. Ish roughly those figures. And the operating cost is a huge improvement for us. Cap Ex is probably the biggest one for me. They were moving forward with cost caps coming into Formula One. That type of thing is gonna be invaluable. Does not happen to do a forklift upgrade of your storage. Well, I wouldn't know what I would do if I had to upgrade what I now own from pure I can't even imagine what? I don't want to turn around town my bosses what that's >> gonna cost. Well, it sounds like you really attacked the op X side with R and D with pure r and D. I kind of like that shifting, you know, labor toe are Andy because you don't want to spend labour on managing storage a raise, make no sense for your business. Okay. What do you want? Pure toe spend? R and D are now, what problem can they saw for? You mean >> so racy is gonna help If I'm really honest, that's actually is gonna help fill a whole quite well for us because we weren't really sure what to put some of that less hot data we were like, Well, where we going to start to put this now? Because we were beginning to fill up the array and the blades. Actually, with a racy no, we can actually use that different class of storage actually, to keep it still online. Still be out to do some machine learning A. I in the future when that comes around. But actually I can now have Maur longevity out of my existing array and blades. So that's brilliant and coming, I think, having I need to be careful, I know some things that are coming. Uh, the active sinking array is brilliant, and we've been using that since it came out. Having that similar or same ability in Blade when it comes will be a very advantageous having those played enclosures. We've gone to multi chassis flash played over the last six weeks, so that for us is great. Once we can start to synchronize between those two, then that's ah, that's another big one for us, for resiliency, for fault, tolerance, but also workload movement. That thing I said about persistent stories, layer, I'm not gonna need to care where it is, and it will be worked out by the storage in the orchestration layer so it can have the storage in the computer in the right place. >> Wow. Great story, Matt, as always. And I think it's Pierre calls this the unfair advantage coming to life. Best of luck for the rest of the 2019 season. >> I'll take it. >> All right, We'll see you next time. >> Thank you. >> Keep before >> for David Dante. I am Lisa Martin. You're watching the Cube from Cure Accelerate in Austin, Texas.

(techno music) >> At Ducati, we create racing bikes and road bikes, and unique experiences for our bikers. The Ducati teams participate in 19 races, in 15 countries, on five continents, as part of Moto GP Championship around the world. When you own a bike, you are part of a new family, the Ducatisti. (engine revving) We have a DNA racing, that we bring into everyday's bike, you can be a racer, or you can be someone who want to go down downtown Bologna, or San Francisco, or Bangkok. Data is at the heart of the Ducati digital strategy, in racing we know how to analyze data, the experience is directly moved to our road bikes. In race bikes and road bikes we have physical sensors, now thanks to machine learning, artificial intelligence, we can bring to data together to create Bitron sensors, that give us information that were not available before. We are looking for a partner that truly understands the value and the power of data, and this happened to be NetAPP. We want to arrange data in new ways, to transform the sport of Moto GP racing, and the road bike experience. NetAPP has controlled data to make experimentation more quickly, the bike we race on Sunday, is the bike we sell on Monday, and we can test the riders sensation through data. I'm Piergiorgio Grossi, and I'm data driven. (techno music) >> Narrator: Live from Las Vegas, it's the Cube, covering NetAPP Insight 2018, brought to you by NetAPP. >> Welcome back the the Cube our continuing coverage today, from the Mandalay Bay of NetAPP Insight 2018, I'm Lisa Martin with Stu Miniman and we have a couple of guests joining us. If you're a Motorsport fan, turn the volume up. First we have, welcoming back to the Cube, Jean English, the SVP and CMO at NetAPP, great to have you back Jean!. >> Oh thank you very much, excited to be here. >> And we have Konstantin Kostenarov, CTO of Ducati Motor, wow Ducati, there is by the way, I encourage you to go to the NetAPP.com web site after the segment here there's a very cool video about how Ducati is working with NetAPP on the racing side, these bikes are like flying IOT devices, as well as the consumer side. So Jean let's kick of things with you, this is day one, record breaking attendance for NetAPP, 5000 attendees, we were in the Keynote this morning, standing room only, talk to us about NetAPP as a Data authority, what's some of the feedback that you're hearing from your wealth of partners and customers that are here this week? >> Absolutely, well we're thrilled to have so many partners and customers and employees here with us, record breaking attendance, more customers and partners that have ever joined us before here at Insight a Data authority, people are asking us what do I need to do to maximize the value of that data, whether it's integrating the data, simplifying the data, they're trying to figure it out, and most of the time it's in a Hybrid role, it's in a multiclout world, and so we're just excited about where we are with our strategy, we're bringing it to life, more and more customers, like Ducati everyday are helping us to see this vision come true and we just can't wait to get started with everyone else. >> And this is a really interesting example, NetAPP has, in it's 26 year history, a massive install base, probably every industry, but when you look at something like Ducati, which probably every guy knows about, I have some Motorsport experience myself, it's much more of a, oh as a consumer, as a fan of the sport, so Konstantin, tell us about Ducati's decision to work with NetAPP, because you guys aim to not only utilize, all of the data, tons of data coming off the two bikes, every race weekend, to improve performance, but you're also wanting to use that speed, which is the new scale as George Curion said this morning, to even improve the consumer experience, and talk to us about Ducati's partnership with NetAPP. >> So we start to work with NetAPP about two years ago, more over, and in these, nowadays, every people around us talk about job thinking, extreme improvement, extreme increase of customer experience so in this world this will be Ducatis very excited challenge and this challenge requires us to respond with the best technology. The best technology that help us to collect the best information from our motorbikes, from our racing teams that we know how to collect the data, how to transformate this data into usable information, and how to generate the opportunity to have data sensors that we can transform in in information but also in knowledge that we hear before, and put all this information inside our fabric, and inside our shop floor, inside our R and D department, in order to be able to extremely increase the experience of our customers. >> I love that we get to work with one of the most innovative companies in the entire world of Motorsports, and I think really from the inception of Ducati, you guys have been really focused on how do you keep innovating through technology, and we talk about transforming the world of racing with data and how are we doing that together, so together with Ducati and NetAPP, how do we help enable them to have the best motors in the whole world, we're really excited! >> Jean, it's a great discussion, we've loved watching from just talking about the storage industry to where we're talking about data, and transformations so maybe explain to our audience that maybe not understand, you know, what's different about the industry today, and what's enabling this, NetAPP to be able to work with companies like Ducati, to help them through these transformations today, that they might not have been able to do a few years ago. >> Absolutely, I think there's just more and more data that we're finding every day, whether it's Ducati, Motorsports, if it happens to be in health care, and thinking about the millions and billions of genomes types of research that they're doing. We know even from banking how they're trying to connect the dots across an entire customer experience. Sure they're using technology like storage, absolutely, they're thinking about computers, they're thinking more and more though about services, and the cloud, APIs, how are they going to gain all this innovation through AI, analytics, but it's about making the customer experience better. What I love about the partnership we have with Ducati is it's not just about the bikes themselves, it's about the community that they have and that they're building and that community is yes, based on data from the bike, it's about the data coming from the riders, and it's about the data they collect so they all become a stronger community as a whole. >> Yeah, Konstantin maybe explain a little bit more to your audience the role of data as Ducati see's it, and how that drives innovation in your company. >> In the world like motorbike racing team, where every millisecond counts and the difference, in how we can collect in, very quickly mode the data, and to transform the information becomes determinate if you win or not because as you know, in Qatar we win with 29 milliseconds, and this is the work that we've done, days before, analyzing data, and set up the motorcycle, in the best way, because for us, the collaboration with NetAPP is not only storage, and is not only data, but is data management, and extremely short time to respond to our business requests and work to transform the paradigm of time, and money the paradigm of data and information, and we talk about performance with our line of business, not from the technical point of view but from the extremely business oriented, the customer oriented point of view, and we collect the data from the more than 60 sensors, from the racing motorbikes and transform it with artificial intelligence and deep machine learning, in vector sensors that give us information that we cannot reach from the normal road bikes, and this improves extremely our competitiveness, and we are able to give this, experience to our riders that becomes our families, because a good thing, a good product to all our customers, and with attention of environment in the behavior of the riders we would think that the good people in the good universe act in a good way. >> And we're happy to be part of that too. >> Before we get into that, the consumer side, so your riders, Andrea Dovizioso, and Jorge Lorenzo, how has their performance improved because you're able to take data, gigs per quali day, race day, analyze it in real time, how has their performance improved as a result of your NetAPP partnership? >> As you know, the racing motorbike is not able to stop in real time during the race, not like in Formula One so you need to use the best technology to connect the bikes to our minidata center inside the box during the race. Make our strategy to set up the bike as better as we can, and the speed which we can reach the, and collect the data, put it in the telemetry software, calibrate it, make the strategy decision is very very important. And with the HCI technology we can do it. >> How are you taking the transformation that you're making on the racing side and applying it to the consumer side so that, as I think I heard on the video, Ducati wants to deliver the bike that a guy or gal rides on a Sunday by Monday, that speed, speed is the new scale as George Curion mentioned this morning, how is the consumer side of Ducati Motorsport being influenced positively to enable those consumers to have exactly what they want? >> If you see our new creation, the Dopra, the Panigale V4, this is the right example how we transform racing motorbikes to the road bikes, and we give to our customers this kind of experience because all information we manage during the Sunday we are able to put in on Monday and sell the bike that have the same performance, safety, and pleasure of riding for the final customers and we have a racing that we bring to everydays motorbike, so when you buy a bike we give you experience that before you're riding, during the riding, and after your riding when you are at your home, with our uplink connection, we use the NetAPP technology to give the best experience of connected bikes. >> So when you think about customers, especially our partnership with Ducati, in order to be customer centric, or rider centric, we really have to be data driven, and so as we think about what are all the connections and the dots of data that happen, whether it's on the bike, the rider, the community itself, how does that bike that's driven or ridden on a Sunday, how is then really performed and given to customer that next day, it's all about the data. >> I'm curious, cause how have you been able to improve that speed of scale meta HCI as part of your data driven foundation, what's kind of a before and after, are you able to deliver bikes faster? Have you transformed the customer experience like Jean was saying? >> So before NetAPP, our production plan is more difficult to be connected to all other line of business and we are not able to collect the information from our final user, our customer. And give this information to our R and D department or the shop floor, in order to be able to transform in real time our production process, and to give the best experience for everyday bikers. >> So significant business impact? >> Exactly, and with our connected bike, this has become a reality. >> Jean, just want to bring it back to NetAPP for a minute here you've been on board for about two years, George Curion talked about the transformation that NetAPP is going through itself, can you speak a little bit to the culture, you know I think back for years and NetAPP has been known for one of the top places to work, it's talking about that transformation, what can you say about what's happening inside NetAPP? >> Sure, so I think the transformation has gone through a couple of different cycles. I mean one was really around the operational efficiency we needed to be as a company to really be focused on what were the customers caring about? What were the technologies and innovations that we needed to shift to that mattered to the customer? Cloud being one of those, whether it was a private cloud, or a public cloud, we also started to think through, is the right leadership that we needed to have in the company to start making those shifts? A big part of it is the culture though and that culture is ground up, it definitely starts across the leadership team we have today, but it is infused across all of NetAPP. It is one of the reason why I joined the company, when I first started interviewing with George, he wanted me to come help him write the new story, but so much a part of a story of a company is the people themselves, and so if you think about any kind of transformation, it is definitely strategy, it's technology, it's around what you do from processes, but culture and people are the biggest part of that, and we think of the brand inside of NetAPP, the people are the biggest part of it. And who we are and what we stand for, really always leaning in to the latest technology, because it's what customers care about, if I think about the history over the last 10 to 15 years, what could have broken NetAPP, moving from Linux to Windows, moving in to virtualization, now with the cloud, we've always leaned in, because we want to care about what the customer cares about. And that's every single person inside of NetAPP that makes that happen. So I love being at NetAPP and it's an exciting place to be! >> Cultural transformation is hard to do, it's essential for IT transformation, digital transformation, security transformation, I'm curious Jean, NetAPP has such a big install base of a lot of enterprise incumbents that weren't born in digital of course you've got some amazing customers like Ducati, talk to us about how your customers, you mentioned NetAPP is good at leaning in, how do you leverage that voice of the customer to help the sustain the cultural transformation you need to really put cloud at the heart of your strategy? >> Absolutely, even with the example of Dreamworks, we just started working with Dreamworks as one of our partners to start co-engineering with them, to help them on their own transformation. And so that's taking right from the customer, what are their requirements, how are they going to take this cutting edge digital content, and then be able to make it into beautiful, engaging films that we all know and love, How To Train Your Dragon's coming out very soon and we're excited about seeing it, but those kind of partnerships really matter, and how people are leaning in to the cloud, and how they're leaning in to hypercloud, multicloud, we want to hear what our customers need and work with them to be able to really build out that technology and innovation for the future. >> Konstantin, last question for you, what are you, I know you had a session yesterday, what are you excited to hear about from you partner NetAPP at the event this week? >> I'm excited to hear about the people, it's a very put attention of the details, of what the NetAPP mean regarding the data management. And the data driven company, what is the real time feedback to the customers, and improvement of the customer experience, and one of the things that I like is the simplicity to use the NetAPP technology that give us the speed of reaction, and transform the information into knowledge, and how can I say in experience to know how to do the things >> Well Konstantin, Jean, thank you so much for stopping by and giving us a really cool, sexy example of how NetAPP is helping a company like Ducati really revolutionize the racing side and the consumer side of the businesses. And we want to encourage you to go to NetAPP.com search Ducati and you will find a very cool video, on how these two companies are working together. For Stu Miniman, I'm Lisa Martin, you're watching the Cube live, all day from NetAPP Insight 2018, Stu and I will be right back with our next guest. (techno music)

>> Narrator: Live from the Bill Graham Auditorium in San Francisco, it's The Cube. Covering Pure Storage Accelerate 2018. Brought to you by Pure Storage. (techno music) >> Back to The Cube, we are live at Pure Storage Accelerate 2018. We are in San Francisco at the Bill Graham Civic Auditorium. This is a really cool building built in 1915, loads of history with artists. I'm with Dave Vellante. I'm wearing prints today in honor of the venue and we're excited to be joined by longtime Pure Storage customer Mercedes AMG Petronas Motorsport head of IT Matt Harris. Matt, it's great to see you again. >> Hey, good up, good morning I should say. >> I think it is still morning somewhere. (laughter) >> So, Matt, you know, for folks who aren't that familiar with Formula One one of the things, you know I'm a fan. It's such a data intense sport. You've got to set up a data center 21 times a year, across the globe, with dramatically different weather conditions, humidity, etc. Give our viewers an idea of your role as head of IT and what it is that your team needs to enable the drivers to do? >> Okay, so in general terms, we're but like any other normal business around the world. Yeah we have huge amounts of data created depending on what your company is doing. Ours comes from two cars going around the track. That is the lifeblood of our of our work, our day work, and all that data is always analyzed to work out how we can improve the car. But what we really have is an infrastructure the same as many other companies. We have some slight differences as you say. We go to 21 countries. In those countries we turn around and we have 36 hours roughly to put everything together in a different world, different place and then everybody turns up and uses it as though it's a branch office. A hundred people roughly sat there working in the normal environment. We use it for five days and then we take it apart in six hours, put it in two boxes, take it to another country, and we do the same thing again. We do that 21 times. Sometimes back-to-back, sometimes with a week in between. Week in between is quite easy. Back to back sometimes we go from Canada maybe all the way across the world from Monaco within the space of a week so if we've got the flights in the way and everything else and we also end up having to an engineer a car, run a car around the track, and hopefully win races. >> So, you basically got a data kit that you take around with you. >> Yeah. >> And then what did you do before you had this capability? Was it just gut feel? Was it finger in the wind? >> Um, so. For about 15 years, we've been running what everybody's classes and Internet of Things we've been doing for about 15-20 years the car. It's got around these days around 300 sensors on it. Without those sensors realistically we'll be running the car blind and we probably couldn't even start the car let alone actually run it these days or improve things. We turn around and we're always ingesting data from the cars real-time. That real-time data actually we transfer to the garage. That's no problem at all but we also bring it back to the factory because we're limited on the number of people that are allowed to travel with the team. So, we're physically only allowed to take 60 people. Rules tell us we can only take 60 people to work on the car. Now of those, around about 15 are probably looking at data. We're generating around about half a terabyte per race weekend these days and 15 people, it's not enough eyes realistically to turn around and look at all that data all the time. So we take it back to the UK and in the UK, again, we have anywhere between another 30 and maybe 800 staff will be looking at that data to help analyze particularly on a Friday. Friday is about running the car and learning. We discussed a few minutes ago, what's the weather like? What are the tires like? What's the track like? Has there been any change in track? Has it been resurfaced? What's going on with the car compared to what we think is its optimum? And on a Friday's iterative change and learning about tire degradation, tire life, tire wear, the weather conditions, how they're going to interact with the car, all based on data. The interesting thing for me has always been that we have all this data but the two drivers in the car are the biggest sensor for us. They turn around and tell us how they felt. When they were going round corners, Was it good, bad, indifferent? But as soon as they tell us something, we always go to data. We've taken their interpretation of how their body felt, we turn around and then look at the data to prove what they've told us. So, an interesting anecdote very quickly. last year in Singapore, Valtteri was going across the bridge and he said he could feel that the throttle felt like it was cutting and we couldn't see in data and we were looking and looking and eventually he said, "No, it absolutely happens every time I cross the bridge." and they found a 20 millisecond gap in throttle application basically because there was a magnetic field that the bridge was creating so a sensor was actually cutting the throttle. he could feel it. we could fit that eventually see in data, shielded the sensor, everybody's happy. so you go from the human being could feel a 20th, a 20 millisecond gap in throttle application for us finding in data, engineering a solution, and changing things. >> So, the human's still a critical part of? (crosstalk) >> So, where does Pure Storage fit into this whole thing? and give us the before and after on that. >> So, three years ago we started working with Pure because I have two different solutions. one in the track and one in the factory. one in the track realistically I have some constraints around space, power, heat. that most people would love to take the racks as we were talking about we take around the world, they would love to leave in a nice air-conditioned computer room and just leave it there all year. we move it around but that rack of information we have to spend $298 per kilo to transport IT equipment around, well any equipment, around the world. So, we've got tons of equipment that we take around the world. it's thousands and thousands of pounds of freight cost. So, we went from forty U of old-school spinning disk, lots of complexity in cabling, administration, down to 2-3 U and 20 arrays. Now, they're more heat tolerant. I have two power cables in each and two network cables so complexity is gone. it just works. It's heat tolerant. it doesn't create a lot of heat so I haven't got the added issue of that. it's not using a huge amount of power so my UPS solution has to be smaller. so everything just got smaller, cheaper. really simply at the track, we improve the performance for everybody. from an IT point of view, we got very, very simple. incredibly easy to look after and manage but it's very reliable and performant at the same time. we then went to the factory where I've got 800 people looking at data. the problem is when a car goes round and we offload it, there's one single file. we haven't got this distributed amount of data that everybody. so you got one file that everybody's trying to open, old-school discs, you've now got contention for that one file that everybody's opening. So, people would come back from the track and go, "Why is it so slow to open information in the factory compared to at the track?" Trying to explain to them contention of data in those days was a little bit difficult but now we have 800 people that don't need to care and why that matters for us is decision making. So, if you think about qualifying, those that don't understand Formula One, we have three sessions of qualifying and the car goes out roughly two times in each qualifying session with around about a couple of minute gap in between the times the car goes out. that couple of minutes is about changing the car to be optimal for the next run. if it takes you minutes and minutes to offload data, open the data, review the information that the driver told you, and make a change, you can't go back out a second time. So, everything is about optimal performance for those engineers to optimize the performance of the car. what we are able to do now is to turn around and make sure that we're making correct decisions because rather than data taking two or three minutes to open, it's in seconds instead. So, you can look at the data, make an informed decision, change the car, hopefully improve every time the car goes out. >> One of the things, Matt, that Charlie Giancarlo, the CEO of Pure Storage, said this morning during the keynote was that less than half a percent of data in the world is analyzed. talk to us about what Pure Storage is able to facilitate for your team to be able to analyze that data. how much of that data are you able to analyze? and talk to us about the speed criticality. >> Yeah, okay, so, and quite a lot of the work over the previous probably 10 or 15 years has been very human centric. So, it's what data I know I need to go and look at to understand to be able to compute, to turn around and maybe infer information from to be able to make a better decision. So, strategy is probably one of the best places these days where the data that we're learning all the time. we have data about ourselves but we also have data about the other teams. those teams have the same data about us as well, your GPS data, timing data, so we know what's going on so we can infer information on a competitor as well as ourselves. tire degradation, tire wear, tire life, all things that you can infer that mean that you were mentioning earlier on about a pit stop. if a safety car comes out should you pick, shouldn't you pick. those decisions are now based on accurate data about whether we think competitor will pit, whether we think the competitors tires will last, can we overtake that competitor? because actually the track does or doesn't allow overtaking. So, lots of decisions made real-time based on exactly what's happening now but inferred from previous races and we're always learning all the time. everything is about the previous races. information we're learning every time. >> and how much of that heavy lifting of that data is machines versus humans. Are the machines increasingly, I don't want to say making the decisions, but helping? >> Yes, so, we're not in a position at the moment where the machines are making decisions. they're helping us to be informed, to visualize. Yeah, we work with the likes of TIBCO as well as Pure and other partners or sponsors that we have where they turn around and actually they help us to visualize that data. the problem we've got at the moment is we're still looking at all the data. where we really want to get to is looking at exceptions. So, actually the norm, don't show us that data. we don't need to know, don't need to care. >> Want the outliers. >> we want the outliers that. our problem though is that our car changes every time it goes out. So, an outlier could be because we've made a change. So, now you've got to still have some human that's helping at moto. we're trying to understand how we can use machine learning techniques. in certain places we can so image recognition and another bits and piece like that we can actually start to take advantage of but decisions necessarily around configuration and the next change to the car at the moment it's still indicators given to us by simulation and then a human at the end of the day is making the decision. >> and the data that you talked about that is on your competitors, is that a shared data source or is that but it is. >> Yeah. >> everybody shares the same data. >> every car has a transponder on it. basically it's GPS with longitude, latitude, and all sorts but incredibly accurate. if you consider the cars are doing 200 mile-an-hour, we have an accuracy of around about it's less than 10 centimeters accuracy at 200 miles per hour. Now, if you think of your GPS on your phone, you struggle to know whether you're on the right street sometimes. >> but your differentiation there is your your speed at which you can analyze the data, your algorithms, your skill sets you're telling. and then obviously we're here at Pure there's a component of that speed which is Pure. aren't you worried that your competitors are going to get your secrets or is everybody in the track use Pure Storage? >> everybody is turning around and using their own methodologies, their main, their own software. the thing for us at the moment is to make sure that we keep the really secret things ourselves, our IP sensitive, keep those to ourselves. So, what we do with our storage people know about and other teams are copying and seeing the advantages of Pure as well as some of the other tools and partners we partner with. the benefit of us though is that we have a partnership with Pure not just a purchasing so we work, we've known about some of the products. So, flash blade we knew about a long time before it was released. Yeah, we work with the team on what's coming. we know some of the advances in the technology before it's live and that's critical for us because we can get a stick, a march on everybody else even if we're six months ahead of somebody else on a technology or a way of doing something, six months is a long time in F1. >> Yeah. >> sorry Dave, I was going to say, Pure calls this the unfair advantage. (laughter) and you are, Mercedes has last fall won the fourth consecutive Constructors Championship. Coincidence, I don't know, but talk to us about this symbiotic relationship. are you also able to help influence the design of the technologies at Pure? >> Yeah, so, and I wouldn't say that we help design necessarily but they'll take into consideration our requirements and our wishes. like a number of other people that will be here, you've heard other people talking on stage and we'll always be talking about what we would like to be doing, what we could be doing if we had, I don't know, some new technology whether it's s3 connectivity to the flash blade, s whether it's NFS, whether it's SIF, whatever that would be, the containerization of them, the storage front end, whatever that would be we're always talking about how we can work with the Pure Storage to improve what we're doing. so that ideally I take out the way of the business. my ideal is that IT's not seen, it's not heard, and it just works. obviously in IT that's not always the case but. >> I want to unpack something you said earlier. you said it was I believe two or three years ago, three years ago that you brought in Pure and you had substantial performance improvement. I talk to a lot of customers and what they'll typically do in that situation is they'll compare what they saw in 2015 with what they replaced which was probably a five or eight year old array. true in your case or not? if it is true, which I suspect it is, it had to be something else that led you to Pure because you could have bought the incumbents all flash array and got you know much better performance. What, first of all true or not? and what was it that led you to Pure to switch from the incumbent which is not trivial? >> So quickly and was it five or eight year old hardware? in some places yes, some places no. So, it wasn't, we took a decision to take a step back and look at storage from a different standpoint because we just kept adding more discs to try and get around an issue, you know, and we've got a fairly strange data model to compute. we don't need much compute, we need lots of storage. so some of the models that were talked about on stage where I need, you know, Matt Baer was talking about the fact of I want some more storage, you need to buy some more compute and that was just so annoying for us. so there was different reasons but the end goal, you're quite right, performance. Yeah, we could have got it probably from anywhere and being brutally honest lots of other technologies could give the performance 'cause we don't give that level of performance maybe if your a service now or a big financial institution, we've got data, it's important. we've got critical time scales to open and save data, okay critical to us as far as erasing, but what was important for me was simplicity. Absolutely, now we got other benefits. the Evergreen model was brilliant for us but simplicity was critical. we had a storage guy that was spending his life managing storage. nobody manages storage now. they turn around and they go into Vmware. they want a new VMware server, they just spin it up, and the disk is associated. we don't have to think about it. you don't have that storage specialist any longer. Yeah, we started working with other partners, you know, Rubric for instance, integration with them, the Pure arrays as well, again enabling us to get out the way and not having to worry about backup. traditionally or we'd headed a guy that was always changing tape. I saw on the slide several time today about tape archive, I'm going I never want to see a tape archive. I just don't care about it any longer. I just want to be able to turn around and give the business, the SLAs they want on the their data and then not care about it. Also, can I then still turn around and mine that data in those archive or backup, not back up bin, the archive location? So, there's huge differences but simple is the best thing for me. we could have a small IT team that we have to look after a huge amount of kit and if it's complex it's just I can't employ the right people. >> Simplicity, performance, portability, you mentioned integration. you've got a big partner ecosystem here that. >> Yeah. >> So, having the ability to integrate seamlessly with Rubric, TIBCO, Satirize Key. >> and yeah for us, the partners are extension of the team. my team in particular because I can't turn around and just keep adding staff. we have to look after the day-to-day and keep the lights on but I can't just keep adding staff to look after a new technology. it needs to look after itself so the simplicity is absolutely. performance was a sort of a no-brainer. evergreen was a brilliant one for us because just not having to do those forklift upgrades. I think in the three years, we've gone from M450s to M70s, we've gone from M20s to M50s, M50R2s. we've done all of these. I've been stood on stage before in a day when we've been doing an upgrade during the time I've been stood on stage. You know and so people talk about the forklift upgrade, I don't have to worry about it, it doesn't happen. >> totally non-disruptive. >> Yeah, yeah. >> you do change out the controllers right? >> Yeah, so we change out controllers. we've done all sorts, we've gone from capacity upgrade so complete shells of discs and completely different on from I can't remember the exact size from two terabyte to three terabyte drives, new controllers to give us the new functionality with the nvme and all during the day. we don't do it out of hours. there's a lot of the business a scared stiff when we turn around the wisp and they go oh no no no but we're running the winds on low. we're doing this CFD, we go doesn't matter zero downtime no matter zero no planned. obviously no one play it's planned? >> Yes, it's planned downtime but the user doesn't see it they no performance no downtime no nothing that's Nevada for RIT. Yeah, well it means I don't have to keep asking people to do long shifts through the night to do a simple upgrade what should be a simple your weekends are nice back hopefully we end up with we end up racing those unfortunately okay but that's the fun stuff yeah for those who aren't that familiar was Formula One I encourage you to check it out it's one of the coolest strategic sports that is really fueled by technology it's amazing without technology honestly the cars wouldn't be anywhere near their what they are today and IT systems go we underpin everything that the company does nobody really wants to say that I t's the lifeblood of the company they don't but we need to be able to deliver and actually let the business actually take on new technologies new techniques and get out the way so we've got a huge amount of work a lot of what Charlie said on stage earlier on I've been having conversations with the guys here about autonomous data centers immutable infrastructure it's critical for us to go out the way and allow business to if they want some new VMs new storage it just happens not not need a person to be in the way make it sound so simple well you one of your primary sensors Lewis Hamilton is currently in in the number one position battery talked to us in third Monaco coming up this weekend introduction of a new hyper soft tire some pretty exciting stuff yeah so the hope of soft tires going to be interesting first race with it before the Monaco track yeah so and they originally designed it for Monaco I believe it will go to another race as well in the short term but we didn't even run it in winter testing earlier in the year so the first time we ran it was actually Barcelona test last week I've actually heard nothing about it so I don't know whether it's good bad or indifferent I don't know what's going to happen but it's going to be an interesting week because it's a very different track to where we've been to so far traditionally some of the other teams are quite strong there so the this weekend's going to be an interesting one to see where we end up Monica is always exciting grace Matt thanks so much for stopping by the cube and sharing with us what you're doing and how you're enabling technology to drive the Sportage no comatose again I'm Lisa Martin with Dave Volante live at pure storage accelerate 2018 we were at the Bill Graham Civic I'm Prince for the day stick around Dave and I will be right back with our next guest