>> Well, hello everybody, John Walls here on theCUBE and continuing our coverage. So splunk.com for 21, you know, we talk about big data these days, you realize the importance of speed, right? We all get that, but certainly Formula One Racing understands speed and big data, a really neat marriage there. And with us to talk about that is James Hodge, who was the global vice president and chief strategy officer international at Splunk. James, good to see it today. Thanks for joining us here on theCUBE. >> Thank you, John. Thank you for having me and yeah, the speed of McLaren. Like I'm, I'm all for it today. >> Absolutely. And I find it interesting too, that, that you were telling me before we started the interview that you've been in Splunk going on nine years now. And you remember being at splunk.com, you know, back in the past other years and watching theCUBE and here you are! you made it. >> I know, I think it's incredible. I love watching you guys every single year and kind of the talk that guests. And then more importantly, like it reminds me of conf for every time we see theCUBE, no matter where you are, it reminds me of like this magical week there's dot com for us. >> Well, excellent. I'm glad that we could be a part of it at once again and glad you're a part of it here on theCUBE. Let's talk about McLaren now and the partnership, obviously on the racing side and the e-sports side, which is certainly growing in popularity and in demand. So just first off characterize for our audience, that relationship between Splunk and McLaren. >> Well, so we started the relationship almost two years ago. And for us it was McLaren as a brand. If you think about where they were, they recently, I think it's September a Monza. They got a victory P1 and P2. It was over 3200 days since their last victory. So that's a long time to wait. I think of that. There's 3000 days of continual business transformation, trying to get them back up to the grid. And what we found was that ethos, the drive to digital the, the way they're completely changing things, bringing in kind of fluid dynamics, getting people behind the common purpose that really seem to fit the Splunk culture, what we're trying to do and putting data at the heart of things. So kind of Formula One and McLaren, it felt a really natural place to be. And we haven't really looked back since we started at that partnership. It's been a really exciting last kind of 18 months, two years. >> Well, talk a little bit about, about the application here a little bit in terms of data cars, the, the Formula One cars, the F1 cars, they've got hundreds of sensors on them. They're getting, you know, hundreds of thousands or a hundred thousand data points almost instantly, right? I mean, there's this constant processing. So what are those inputs basically? And then how has McLaren putting them to use, and then ultimately, how is Splunk delivering on that from McLaren? >> So I learned quite a lot, you know, I'm, I'm, I been a childhood Formula One fan, and I've learned so much more about F1 over the last kind of couple of years. So it actually starts with the car going out on the track, but anyone that works in the IT function, the car can not go out on track and less monitoring from the car actually is being received by the garage. It's seen as mission critical safety critical. So IT, when you see a car out and you see the race engineer, but that thumbs up the mechanical, the thumbs up IT, get their vote and get to put the thumbs up before the car goes out on track there around about 300 sensors on the car in practice. And there were two sites that run about 120 on race day that gets streamed on a two by two megabits per second, back to the FIA, the regulating body, and then gets streams to the, the garage where they have a 32 unit rack near two of them that have all of their it equipment take that data. They then stream it over the internet over the cloud, back to the technology center in working where 32 race engineers sit in calm conditions to be able to go and start to make decisions on when the car should pit what their strategy should be like to then relate that back to the track side. So you think about that data journey alone, that is way more complicated and what you see on TV, you know, the, the race energy on the pit wall and the driver going around at 300 kilometers an hour. When we look at what Splunk is doing is making sure that is resilient. You know, is the data coming off the car? Is it actually starting to hit the garage when it hits that rack into the garage, other than streaming that back with the right latency back to the working technology center, they're making sure that all of the support decision-making tools there are available, and that's just what we do for them on race weekend. And I'll give you one kind of the more facts about the car. So you start the beginning of the season, they launched the car. The 80% of that car will be different by the end of the season. And so they're in a continual state of development, like constantly developing to do that. So they're moving much more to things like computational fluid dynamics applications before the move to wind tunnel that relies on digital infrastructure to be able to go and accelerate that journey and be able to go make those assumptions. That's a Splunk is becoming the kind of underpinning of to making sure those mission critical applications and systems are online. And that's kind of just scratching the surface of kind of the journey with McLaren. >> Yeah. So, so what would be an example then maybe on race day, what's a stake race day of an input that comes in and then mission control, which I find fascinating, right? You've got 32 different individuals processing this input and then feeding their, their insights back. Right. And so adjustments are being made on the fly very much all data-driven what would be an example of, of an actual application of some information that came in that was quickly, you know, recorded, noted, and then acted upon that then resulted in an improved performance? >> Well, the most important one is pit stop strategy. It can be very difficult to overtake on track. So starting to look at when other teams go into the pit lane and when they come out of the, the pit lane is incredibly important because it gives you a choice. Do you stay also in your current set of tires and hope to kind of get through that team and kind of overtake them, or do you start to go into the pits and get your fresh sets of tires to try and take a different strategy? There are three people in mission control that have full authority to go and make a Pit lane call. And I think like the thing that really resonated for me from learning about McLaren, the technology is amazing, but it's the organizational constructs on how they turn data into an action is really important. People with the right knowledge and access to the data, have the authority to make a call. It's not the team principle, it's not the person on the pit wall is the person with the most amount of knowledge is authorized and kind of, it's an open kind of forum to go and make those decisions. If you see something wrong, you are just as likely to be able to put your hand up and say, something's wrong here. This is my, my decision than anyone else. And so when we think about all these organizations that are trying to transform the business, we can learn a lot from Formula One on how we delegate authority and just think of like technology and data as the beginning of that journey. It's the people in process that F1 is so well. >> We're talking a lot about racing, but of course, McLaren is also getting involved in e-sports. And so people like you like me, we can have that simulated experience to gaming. And I know that Splunk has, is migrating with McLaren in that regard. Right. You know, you're partnering up. So maybe if you could share a little bit more about that, about how you're teaming up with McLaren on the e-sports side, which I'm sure anybody watching this realizes there's a, quite a big market opportunity there right now. >> It's a huge market opportunity is we got McLaren racing has, you know, Formula One, IndyCar and now extreme E and then they have the other branch, which is e-sports so gaming. And one of the things that, you know, you look at gaming, you know, we were talking earlier about Ted Lasso and, you know, the go to the amazing game of football or soccer, depending on kind of what side of the Atlantic you're on. I can go and play something like FIFA, you know, the football game. I can be amazing at that. I have in reality, you know, in real life I have two left feet. I am never going to be good at football however, what we find with e-sports is it makes gaming and racing accessible. I can go and drive the same circuits as Lando Norris and Daniel Ricardo, and I can improve. And I can learn like use data to start to discover different ways. And it's an incredibly expanding exploding industry. And what McLaren have done is they've said, actually, we're going to make a professional racing team, an e-sports team called the McLaren Shadow team. They have this huge competition called the Logitech KeyShot challenge. And when we looked at that, we sort of lost the similarities in what we're trying to achieve. We are quite often starting to merge the physical world and the digital world with our customers. And this was an amazing opportunity to start to do that with the McLaren team. >> So you're creating this really dynamic racing experience, right? That, that, that gives people like me, or like our viewers, the opportunity to get even a better feel for, for the decision-making and the responsiveness of the cars and all that. So again, data, where does that come into play there? Now, What, what kind of inputs are you getting from me as a driver then as an amateur driver? And, and how has that then I guess, how does it express in the game or expressed in, in terms of what's ahead of me to come in a game? >> So actually there are more data points that come out of the F1 2021 Codemasters game than there are in Formula One car, you get a constant stream. So the, the game will actually stream out real telemetry. So I can actually tell your tire pressures from all of your tires. I can see the lateral G-Force longitudinal. G-Force more importantly for probably amateur drivers like you and I, we can see is the tire on asphalt, or is it maybe on graphs? We can actually look at your exact position on track, how much accelerator, you know, steering lock. So we can see everything about that. And that gets pumped out in real time, up to 60 Hertz. So a phenomenal amount of information, what we, when we started the relationship with McLaren, Formula One super excited or about to go racing. And then at Melbourne, there's that iconic moment where one of the McLaren team tested positive and they withdrew from the race. And what we found was, you know, COVID was starting and the Formula One season was put on hold. The FIA created this season and called i can't remember the exact name of it, but basically a replica e-sports gaming F1 series. We're using the game. Some of the real drivers like Lando, heavy gamer was playing in the game and they'd run that the same as race weekends. They brought celebrity drivers in there. And I think my most surreal zoom call I ever was on was with Lando Norris and Pierre Patrick Aubameyang, who was who's the arsenal football captain, who was the guest driver in the series to drive around Monaco and Randy, the head of race strategy as McLaren, trying to coach him on how to go drive the car, what we ended up with data telemetry coming from Splunk. And so Randy could look out here when he pressing the accelerator and the brake pedal. And what was really interesting was Lando was watching how he was entering corners on the video feed and intuitively kind of coming to the same conclusions as Randy. So kind of, you could see that race to intuition versus the real stats, and it was just incredible experience. And it really shows you, you know, racing, you've got that blurring of the physical and the virtual that it's going to be bigger and bigger and bigger. >> So to hear it here, as I understand what you were just saying now, the e-sports racing team actually has more data to adjust its performance and to modify its behaviors, then the real racing team does. Yep. >> Yeah, it completely does. So what we want to be able to do is turn that into action. So how do you do the right car setup? How do you go and do the right practice laps actually have really good practice driver selection. And I think we're just starting to scratch the surface of what really could be done. And the amazing part about this is now think of it more like a digital twin, what we learn on e-sports we can actually say we've learned something really interesting here, and then maybe a low, you know, if we get something wrong, it may be doesn't matter quite as much as maybe getting an analytics wrong on race weekend. >> Right. >> So we can actually start to look and improve through digital and then start to move that support. That's over to kind of race weekend analytics and supporting the team. >> If I could, you know, maybe pun intended here, shift gears a little bit before we run out of time. I mean, you're, you're involved on the business side, you know, you've got, you know, you're in the middle east Africa, right? You've got, you know, quite an international portfolio on your plate. Now let's talk about just some of the data trends there for our viewers here in the U S who maybe aren't as familiar with what's going on overseas, just in terms of, especially post COVID, you know, what, what concerns there are, or, or what direction you're trying to get your clients to, to be taking in terms of getting back to work in terms of, you know, looking at their workforce opportunities and strengths and all those kinds of things. >> I think we've seen a massive shift. I think we've seen that people it's not good enough just to be storing data its how do you go and utilize that data to go and drive your business forwards I think a couple of key terms we're going to see more and more over the next few years is operational resilience and business agility. And I'd make the assertion that operational resilience is the foundation for the business agility. And we can dive into that in a second, but what we're seeing take the Netherlands. For example, we run a survey last year and we found that 87% of the respondents had created new functions to do with data machine learning and AI, as all they're trying to do is go and get more timely data to front line staff to go. And next that the transformation, because what we've really seen through COVID is everything is possible to be digitized and we can experiment and get to market faster. And I think we've just seen in European markets, definitely in Asia Pacific is that the kind of brand loyalty is potentially waning, but what's the kind of loyalty is just to an experience, you know, take a ride hailing app. You know, I get to an airport, I try one ride hailing app. It tells me it's going to be 20 minutes before a taxi arrives. I'm going to go straight to the next app to go and stare. They can do it faster. I want the experience. I don't necessarily want the brand. And we're find that the digital experience by putting data, the forefront of that is really accelerating and actually really encouraging, you know, France, Germany are actually ahead of UK. Let's look, listen, their attitudes and adoption to data. And for our American audience and America, America is more likely, I think it's 72% more likely to have a chief innovation officer than the rest of the world. I think I'm about 64% in EMEA. So America, you are still slightly ahead of us in terms of kind of bringing some of that innovation that. >> I imagine that gap is going to be shrinking though I would think. >> It is massively shrinking. >> So before we, we, we, we are just a little tight on time, but I want to hear about operational resilience and, and just your, your thought that definition, you know, define that for me a little bit, you know, put a little more meat on that bone, if you would, and talk about why, you know, what that is in, in your thinking today and then why that is so important. >> So I think inputting in, in racing, you know, operational resilience is being able to send some response to what is happening around you with people processing technology, to be able to baseline what your processes are and the services you're providing, and be able to understand when something is not performing as it should be, what we're seeing. Things like European Union, in financial services, or at the digital operational resilience act is starting to mandate that businesses have to be operational in resilient service, monitoring fraud, cyber security, and customer experience. And what we see is really operational resilience is the amount of change that can be absorbed before opportunities become risk. So having a stable foundation of operational resilience allows me to become a more agile business because I know my foundation and people can then move and adjust quickly because I have the awareness of my environment and I have the ability to appropriately react to my environment because I've thought about becoming a resilient business with my digital infrastructure is a theme. I think we're going to see in supply chain coming very soon and across all other industries, as we realize digital is our business. Nowadays. >> What's an exciting world. Isn't it, James? That you're, that you're working in right now. >> Oh, I, I love it. You know, you said, you know, eight and an eight and a half years, nine years at Splunk, I'm still smiling. You know, it is like being at the forefront of this diesel wave and being able to help people make action from that. It's an incredible place to be. I, is liberating and yeah, I can't even begin to imagine what's, you know, the opportunities are over the next few years as the world continually evolves. >> Well, every day is a school day, right? >> It is my favorite phrase >> I knew that. >> And it is, James Hodge. Thanks for joining us on theCUBE. Glad to have you on finally, after being on the other side of the camera, it's great to have you on this side. So thanks for making that transition for us. >> Thank you, John. You bet James Hodge joining us here on the cube coverage of splunk.com 21, talking about McLaren racing team speed and Splunk.

live from Las Vegas it's the cube covering AWS reinvent 2018 brought to you by Amazon Web Services Intel and their ecosystem partners welcome back to Las Vegas everybody I'm Dave Villeneuve my co-host David Flair you want to the cube the leader in live tech coverage this is our third day of coverage at AWS reinvent 2018 our sixth year covering this event that keeps getting bigger and bigger Dave at 53,000 people amazing place is still jam we still barely have our voices 18 Cockroft is here he's a vice president of cloud architecture and strategy very well known in the industry q Balam thanks so much for coming back on thank you yeah it's the I've been to all of the reinvents we've been far as the customer and then we've been off of one but we watched remotely and hung on every word you know back when there wasn't a lot of information about a DMS now it's like too much information to process it's gonna take us months to sort through it all but at any rate it's it's a phenomenal opportunity for us to to learn to share to inspire folks and you do with some great work talk a little bit about you know some of the fun stuff you're working on and in your current role yeah I have a few different things I do one is one part of my role as I go around the world giving keynotes AWS summits but mostly I call it doing one of Ogle's impressions his deck and I get to presented around the world so we have to digest all of this stuff into a 90-minute deck that we can take to around the world that's a you know what do you leave out there's some it's it's harder and harder every year so that's a lot of fun but the team that I run for AWS I mean recruiting and running is around open-source right and we do we sponsor various events we members of various foundations we make contributions to projects and have been helping that by hiring people from the open-source communities into AWS to help help some of the edge over service teams with their launches of open-source related projects so what I've got what's been happening this year is had like a hundred blog posts related to open source lots of tweets lots of activity lots of events like ask on all things open in coupe car so be there in a couple of weeks exciting to you guys probably again but this week there are a few of the launches where we got quite deeply involved we did a blog posts on the open source blog most at the same time as Jeff fires okay here's the service and here's the open source part of it this is how you contribute and this is what's going on so we've had some fun with that so but it was it two years ago when we first met you've just been on the job for about a month about that particular time and you laid out what you wanted to do in terms of from your previous experience about how you wanted to turn AWS into a an open-source contributor how would you rate yourself in two years I think we've made some good progress really made me a AWS was making contributions to open source but had nobody talking about it and nobody know it was nobody's job to go out and explain what we were doing so that what part of the problem two years ago it was actually more happening so most people knew about but we were just not telling the story and it said it wasn't coming across well and the culture and the culture I mean it was spotty like some parts of AWS were doing a lot of open source other parts we're kind of not really seeing it as a priority so by talking a lot more about it we kind of get a more uniform acceptance across AWC huge organized just there but Amazon as a whole we are actually telling that story the story a much broader story than just AWS and be able to bring that and get everyone go oh this i see everyone doing it so i should be doing that so it helps create the the the leadership for more teams to follow and what we've seen in with you know really the first year building the team the last year kind of getting the content flowing and getting the processes kind of working to get all the all of the different events and blog posts and out the outbound part grips getting increasing number of contributions and launches so now Corrado was a few weeks ago so it you need us launch but that was that was an example that was it's a lot a lot happened from my team from Aaron Gupta my team his a Java champion he used to be at Sun he was a worked at Red Hat on J bar so he's like he knows everybody in Java has great credibility across the Java community and he said we should launch this product in Belgium at like midnight or so you know West Coast time and let's fly in James Gosling and like to a secret like get him on stage without anyone knowing he's gonna do it and do the introduction so it's like this totally crazy idea and it came off beautifully and we even had the the you know the Oracle Java people saying nice things about it the contributions to open JDK just just a really nice example of figuring it out all that get everybody on board get everything done right and then say here's something that matters to the community that we can contribute it'll show up on the rooftop complete thanks the star power thing but mincing James to do it was a right around a lot of credit for that that particular launch but you know this is the kind of people I have on my team and we're like we're pulling them in and pointing them at okay can you help this team figure out how to take this open-source project to market now I mean that was a major contribution to the open-source community and it was just in time wasn't it but another slight view would might be that you and Oracle should have been working this out until not leaving it until the last minute but I mean we were doing this work anyway right okay we're effectively self-supporting our own version of Java or internally we were getting better performance and better sooner bug fixes on open JDK so it made a decision to just move to the open JDK dream and we were just unhooking our internal use of the of the other the other options we have home mix you know a very large organization along for you acquire lots of different versions and flavors of Java you notice this one language so we like clean it up let's get JDK 8 and 10 we're self supporting it and then we announce to our cave will support our Amazon Linux version right and the final step was like the customers were saying please just like supportive on my laptop and anywhere else I need it and the thing we didn't announce then we didn't make a big thing out and arm support we didn't we kind of it was in there by default we didn't talk about it because the ARM chips came out this week so hey and part of it was also have exactly the same version of Java now on all of the Amazon Linux is even the the Intel AMD and arm so that helps the compatibility for people kind of going well it's a different processor architectures ties together so it was all part of the thinking if you didn't want to tip your hand on the announcement this young is right ok so I think sometimes a AWS is misunderstood partly from its own doing I mean you just mentioned you contribute a lot to open-source but you never talked about it generally when AWS doesn't have something to say they don't say a lot about it so others are left to you know make the narrative you come on you've now got an open-source agenda can you just sort of summarize what that motivation is and what the objectives are well we have you know lots of different pieces of this but you have service teams saying I'm gonna launch this product and there's an open source component to it can you help and sometimes that means I hire someone in my team to specialize in that area sometimes it's just our consulting with the team we may know connecting them to the open-source community so that's one piece of it is having that if you think about CN CF in particular cloud native computing foundation that's got lots of projects if you think about the AWS service teams no one team really owns the scope of CN CF but my team has that ownership for CN CF as a whole we have the board seat position and we say ok we have the serval as people over here we've got some entertaining things over here there's some Linux kernel virtualization bits here we can reach out to lots of different teams across AWS but act as a central point where you have something about open-source you want to talk about with with AWS or Amazon even as a whole you can come to us and we'll find the right people and we'll help you make those connections so part of it is acting as an on-ramp for the sort of buffer between the internal the external concerns of the communities there's somewhere to go and partly just getting contributions out there and what we could gain criticized for not making enough contributions well we've been making more and we're making more and we'll just keep making more contributions until people give credit for it and that's that's the if you're like what's the strategy contribute more and then tell people point at it and hope the people like what we did and take the input no it's the customer driven thing right we're gonna do what our customers ask us to do and their customer community focus on the things we want to do and we've been contributing to spinnaker the the Netflix OSS project we made some serious contributions to that in the this year firecracker myths which talk about that a bit and the Robo maker that those are all areas where we've been working with firecracker is particularly interesting isn't it I mean that's a major contribution of improving the performance and capability of those micro VMs yeah can you talk about that a little bit yeah it's the baby it's interesting because it's a piece of software pretty much no one will ever see your use it's the thing you run on the bare metal but lets you run your container Dee that lets you run your container on top right well it's deep down in the guts of the system there's this piece of code but we we kind of there's a few reasons we're using it particularly in production now with its supporting some of our production use of Fargate and lambda there in the middle it's not a hundred centraal out but there's a good chunk of the capacity running on it and that's where it turns out to be useful and just to cook how long we have to get into this but if you think about a customer running a lambda function we would put create a VM with that lambda function in it if they wanted a second lambda function we put it alongside that one no the customer comes and we start a new VM for them and we start a lambda function in that VMs take a while to start up so you have cancer pre-made some sitting there waiting but these are big VMs and we're putting lots of little functions in them what what firecracker lets you do is start a separate micro VM for every function and safely put all of the customers on one machine so you start packing them in it's a much more efficient way to run your capacity our utilization of those machines supporting lambda is vastly higher than having a machine with a bunch of empty space in it that we're trying to weight running for running for the customer so it's that efficiency is the thing and then the speed of starting a VM it's a very it's a very cut-down VM so it's 125 milliseconds with just to start the VM which is incredibly fast when you think hey give me a VM on ec2 it's you know they're in kinda like 30 seconds to a few minutes like I get 12 terabyte VM takes a little while to boot up but you don't have to pay for it till it finished including my good things about these huge machines right how about Robo maker can you talk a little bit about that and it's important so a rubber makers interesting on the open source blog which we posted on Slate on Sunday night early on Monday morning I did an interview with Brian Goerke who's the founder of the open robotics foundation and what we've done there is it's kind of an extension of sage maker if you think about that being AI if you've got these eight where I can deploy an AI model what is the AI model I want to do it wants to read something from the real world and modified the real word so it's a read from a camera or at some of the sensor and then control motors and servos and that's what Robo maker does it wraps the intelligence you can build with sage maker with the robotic operating system that has actually a library of actuators and a library of algorithms control algorithms you've got little brain in the middle and you've got a new robot that does something and we had the the Robo racer low racing car to which where all of these things come together to make an old toy race car that we can drive around tracks which is a whole other topic we get into but what interviewed Brian on what is the history of Rose the robotic operating system where did it come from you know what is the hard thing about running in it turns out the hard thing with Rose wasn't building the robots it was simulating the robots and the simulators quite a CPU intensive job it's graphics intensive you got this virtual world you're running and VR worlds are quite intensive and getting that installed and running was the hard part so what what what robot maker is is that as the service it's this simulator is called gazebo just a funny name so gazebo as a service is the actual service that effectively were charging for with a free tier so you can play with it and then we charge you for the sort of simulation units like how much computing time you're using when the rest of it is all you know cloud9 for the front end and deployment of fleets of data to fleets the robots and updating them and managing them but they're interesting thing is this is getting into like the people that the field of the first robotic thing is high schools high school robotic competitions they're interested yeah universities are interested in a university solar so we kind of it's not just for commercial production robots it's the whole training thing we're getting into STEM education if kids like playing with robots it's like Center and we're pulling all this in so now you can go home and take these like the latest most advanced AI algorithms that used to have to be doing a PhD at Stanford to be playing with and play with your kid you know over Christmas and see what you can come up with really simplifying the whole software development side of that when you look at the Dean came in competitions we're just awesome yeah all the kids they could have gravitate to the hardware cuz they can touch the software was really hard and and and this is gonna I think take a new level is particularly enough and it's all open source yeah you can go yes oh you've got this robot there no no I pointed them somebody who's complaining that we'd done it and no it was some proprietary robot thingy with the toy cars and I pointed them at the github URL it's that you can go build this thing it's all open source you can put anything else you want on it but the robot cars robot has rolls on it the robotic operating system H maker Robo maker all combined together and they're off running races and having all having fun now you guys are both Formula one fans yeah and you guys have been having some you know profile of Formula One folks here you got the little the mini vehicle riff on that really open source but I have another like thing I'm doing on the site it turns out the over the last year or so we started looking for opportunities to do sports sponsorship with a particular focus on Europe and the rest of the world we had a few US sports where they I don't know something with balls I like I like sports with wheels so about the middle of last year like this June we announced the deal with Formula One which is a multi-part deal part of the deal was just take them to the cloud that they have some data centers stuff they were running at a space and their data center is like no they wanted to do a technology refresh so for all the reasons that everyone else is moving to cloud we moved the sports core infrastructure to cloud over some number of years right so that's a process for starting and part of that is the archive of all Formula One races it's a treasure trove like 67 years of archive of everything they've got all the videos were digitizing it we're gonna figure out what to do what you know we've got to process it to label everything anyway so that's one thing and then we went turned up it we all turned up at Silverstone in the UK at that race it was the week after the announcement and that race we have a do as logos turning up on the screen because another piece was sponsorship so we start sponsoring the core video feed that Formula One uses to the world and that's 500 million fans watch Formula One so now 500 million fans for the next few years they're going to see a dope race logos on screen around the analytical insights of what is going on in the sport the odd rear tires are overheating you went round a corner this fast here's the pit stop strategy so we brand advertising associate with a high-technology sport and analytical insights and that's why we did that deal and they get all of our technology AI a lot of help helping them migrate and then the third thing we did that I got involved with was I'd already done a few CIO summits at Formula One races along the way so I was kind of like trying to poke my way into this thing that was happening I'm not involved in sponsorship set up right so hang on if you've done that thing yet and then them so we decided to do some executive events around Formula one so we'll pick a few races we'll have some you know corporate hospitality like things but when you put a bunch of senior executives together for a few days they share they solve each other's problems and you just get out of the way and they know the people that have solved one problem will share it with the other so it's a really it's like a tiny reinvent right here everyone is sharing if you sit next to someone what problem have you sold you can find stuff out so this is a concentrated version of that and we retired it in Monza earlier this year went great amazing I mean it's fun and it you know next to the business so it finally was like can we get someone on the car on Reba okay who's in Abu Dhabi on Saturday can we get them on Sunday night for the launch for the robot slut no this is like top guy in Formula One got here from Abu Dhabi if by Wednesday morning I'm just happy that they got here yeah that was that was a huge tire cube team we've watched your career you've been somebody who you know shares his knowledge and done some great work so thank you so much for coming back in the cube like that congratulations on all your great work Andy Jesse's coming up next we're excited about that keeper right to everybody we'll be back with our next guest Andy Jesse CEO of AWS right - this short break [Music]