(upbeat music) >> Welcome to this special cloud virtual event, theCUBE on cloud. This is our continuing editorial series of the most important stories in cloud. We're going to explore the cutting edge most relevant technologies and companies that will impact business and society. We have special guests from Jeff Barr, Michael Liebow, Jerry Chen, Ben Haynes, Michael skulk, Mike Feinstein from AWS all today are presenting the top startups in the AWS ecosystem. This is the AWS showcase of startups. I'm showing with Dave Vellante. Dave great to see you. >> Hey John. Great to be here. Thanks for having me. >> So awesome day today. We're going to feature a 10 grade companies amplitude, auto grid, big ID, cordial Dremio Kong, multicloud, Reltio stardog wire wheel, companies that we've talked to. We've researched. And they're going to present today from 10 for the rest of the day. What's your thoughts? >> Well, John, a lot of these companies were just sort of last decade, they really, were keyer kicker mode, experimentation mode. Now they're well on their way to hitting escape velocity which is very exciting. And they're hitting tens of millions dollars of ARR, many are planning IPO's and it's just it's really great to see what the cloud has enabled and we're going to dig into that very deeply today. So I'm super excited. >> Before we jump into the keynote (mumbles) our non Huff from AWS up on stage Jeremy is the brains behind this program that we're doing. We're going to do this quarterly. Jeremy great to see you, you're in the global startups program at AWS. Your job is to keep the crops growing, keep the startups going and keep the flow of innovation. Thanks for joining us. >> Yeah. Made it to startup showcase day. I'm super excited. And as you mentioned my team the global startup program team, we kind of provide white glove service for VC backed startups and help them with go to market activities. Co-selling with AWS and we've been looking for ways to highlight all the great work they're doing and partnering with you guys has been tremendous. You guys really know how to bring their stories to life. So super excited about all the partner sessions today. >> Well, I really appreciate the vision and working with Amazon this is like truly a bar raiser from theCUBE virtual perspective, using the virtual we can get more content, more flow and great to have you on and bring that the top hot startups around data, data ops. Certainly the most important story in tech is cloud scale with data. You you can't look around and seeing more innovation happening. So I really appreciate the work. Thanks for coming on. >> Yeah, and don't forget, we're making this a quarterly series. So the next one we've already been working on it. The next one is Wednesday, June 16th. So mark your calendars, but super excited to continue doing these showcases with you guys in the future. >> Thanks for coming on Jeremy. I really appreciate it,. Dave so I want to just quick quickly before we get Jeff up here, Jeff Barr who's a luminary guests for us this week who has been in the industry has been there from the beginning of AWS the role of data, and what's happened in cloud. And we've been watching the evolution of Amazon web services from the beginning, from the startup market to dominate in the enterprise. If you look at the top 10 enterprise companies Amazon wasn't on that list in 2010 they weren't even bringing the top 10 Andy Jassy's keynote at reinvent this past year. Highlighted that fact, I think they were number five or four as vendor in just AWS. So interesting to see that you've been reporting and doing a lot of analysis on the role of data. What's your analysis for these startups and as businesses need to embrace the new technologies and be on the right side of history not part of that old guard, incumbent failed model. >> Well, I think again, if you look back on the early days of cloud, it was really about storage and networking and compute infrastructure. And then we collected all this data and now you're seeing the next generation of innovation and value. We're going to talk to Michael Liebow about this is really if you look at all the value points in the leavers, it's all around data and data is going through a massive change in the way that we think about it, that we talk about it. And you hear that a lot. Obviously you talk about the volumes, the giant volumes but there's something else going on as AWS brings the cloud to the edge. And of course it looks at the data centers, just another edge device, data is getting highly decentralized. And what we're seeing is data getting into the hands of business owners and data product builders. I think we're going to see a new parlance emerge and that's where you're seeing the competitive advantage. And if you look at all the real winners these days in the marketplace especially in the digital with COVID, it all comes back to the data. And we're going to talk about that a lot today. >> One of the things that's coming up in all of our cube interviews, certainly we've seen, I mean we've had a great observation space across all the ecosystems, but the clear thing that's coming out of COVID is speed, agility, scale, and data. If you don't have that data you are going to be a non-player. And I think I heard some industry people talking about the future of how the stock market's going to work and that if you're not truly in market with an AI or machine learning data value play you probably will be shorted on the stock market or delisted. I think people are looking at that as a table stakes competitive advantage item, where if you don't have some sort of data competitive strategy you're going to be either delisted or sold short. And that's, I don't think delisted but the point is this table-stakes Dave. >> Well, I think too, I think the whole language the lingua franca of data is changing. We talk about data as an asset all the time, but you think about it now, what do we do with assets? We protect it, we hide it. And we kind of we don't share it. But then on the other hand, everybody talks about sharing the data and that is a huge trend in the marketplace. And so I think that everybody is really starting to rethink the whole concept of data, what it is, its value and how we think about it, talk about it, share it make it accessible, and at the same time, protect it and make it governed. And I think you're seeing, computational governance and automation really hidden. Couldn't do this without the cloud. I mean, that's the bottom line. >> Well, I'm super excited to have Jeff Barr here from AWS as our special keynote guests. I've been following Jeff's career for a long, long time. He's a luminaries, he's a technical, he's in the industry. He's part of the community, he's been there from the beginning AWS just celebrate its 15th birthday as he was blogging hard. He's been a hardcore blogger. I think Jeff, you had one of the original ping service. If I remember correctly, you were part of the web services foundational kind of present at creation. No better guests to have you Jeff thanks for coming up on our stage. >> John and Dave really happy to be here. >> So I got to ask you, you've been blogging hard for the past decade or so, going hard and your job has evolved from blogging about what's new with Amazon. A couple of building blocks a few services to last reinvent them. You must have put out I don't know how many blog posts did you put out last year at every event? I mean, it must have been a zillion. >> Not quite a zillion. I think I personally wrote somewhere between 20 and 25 including quite a few that I did in the month or so run up to reinvent and it's always intense, but it's always really, really fun. >> So I've got to ask you in the past couple of years, I mean I quoted Andy Jassy's keynote where we highlight in 2010 Amazon wasn't even on the top 10 enterprise players. Now in the top five, you've seen the evolution. What is the big takeaway from your standpoint as you look at the enterprise going from Amazon really dominating the start of a year startups today, you're in the cloud, you're born in the cloud. There's advantage to that. Now enterprises are kind of being reborn in the cloud at the same time, they're building these new use cases rejuvenating themselves and having innovation strategy. What's your takeaway? >> So I love to work with our customers and one of the things that I hear over and over again and especially the last year or two is really the value that they're placing on building a workforce that has really strong cloud skills. They're investing in education. They're focusing on this neat phrase that I learned in Australia called upskilling and saying let's take our set of employees and improve their skill base. I hear companies really saying we're going to go cloud first. We're going to be cloud native. We're going to really embrace it, adopt the full set of cloud services and APIs. And I also see that they're really looking at cloud as part of often a bigger picture. They often use the phrase digital transformation, in Amazon terms we'd say they're thinking big. They're really looking beyond where they are and who they are to what they could be and what they could grow into. Really putting a lot of energy and creativity into thinking forward in that way. >> I wonder Jeff, if you could talk about sort of how people are thinking about the future of cloud if you look at where the spending action is obviously you see it in cloud computing. We've seen that as the move to digital, serverless Lambda is huge. If you look at the data it's off the charts, machine learning and AI also up there containers and of course, automation, AWS leads in all of those. And they portend a different sort of programming model a different way of thinking about how to deploy workloads and applications maybe different than the early days of cloud. What's driving that generally and I'm interested in serverless specifically. And how do you see the next several years folding out? >> Well, they always say that the future is the hardest thing to predict but when I talked to our enterprise customers the two really big things that I see is there's this focus that says we need to really, we're not simply like hosting the website or running the MRP. I'm working with one customer in particular where they say, well, we're going to start on the factory floor all the way up to the boardroom effectively from IOT and sensors on the factory floor to feed all the data into machine learning. So they understand that the factory is running really well to actually doing planning and inventory maintenance to putting it on the website to drive the analytics, to then saying, okay, well how do we know that we're building the right product mix? How do we know that we're getting it out through the right channels? How are our customers doing? So they're really saying there's so many different services available to us in the cloud and they're relatively easy and straightforward to deploy. They really don't think in the old days as we talked about earlier that the old days where these multi-year planning and deployment cycles, now it's much more straightforward. It's like let's see what we can do today. And this week and this month, and from idea to some initial results is a much, much shorter turnaround. So they can iterate a lot more quickly which is just always known to produce better results. >> Well, Jeff and the spirit of the 15th birthday of AWS a lot of services have been built from the original three. I believe it was the core building blocks and there's been a lot of history and it's kind of like there was a key decoupling of compute from storage, those innovations what's the most important architectural change if any has happened or built upon those building blocks with AWS that you could share with companies out there as many people are coming into the cloud not just lifting and shifting and having that innovation but really building cloud native and now hybrid full cloud operations, day two operations. However you want to look at it. That's a big thing. What architecturally has changed that's been innovative from those original building blocks? >> Well, I think that the basic architecture has proven to be very, very resilient. When I wrote about the 15 year birthday of Amazon S3 a couple of weeks ago one thing that I thought was really incredible was the fact that the same APIs that you could have used 15 years ago they all still work. The put, the get, the list, the delete, the permissions management, every last one of those were chosen with extreme care. And so they all still work. So one of the things you think about when you put APIs out there is in Amazon terms we always talk about going through a one-way door and a one way door says, once you do it you're committed for the indefinite future. And so you we're very happy to do that but we take those steps with extreme care. And so those basic building blocks so the original S3 APIs, the original EC2 APIs and the model, all those things really worked. But now they're running at this just insane scale. One thing that blows me away I routinely hear my colleagues talking about petabytes and exabytes, and we throw around trillions and quadrillions like they're pennies. It's kind of amazing. Sometimes when you hear the scale of requests per day or request per month, and the orders of magnitude are you can't map them back to reality anymore. They're simply like literally astronomical. >> If I can just jump in real quick Dave before you ask Jeff, I was watching the Jeff Bezos interview in 1999 that's been going around on LinkedIn in a 60 minutes interview. The interviewer says you are reporting that you can store a gigabyte of customer data from all their purchases. What are you going to do with that? He basically nailed the answer. This is in 99. We're going to use that data to create, that was only a gig. >> Well one of the things that is interesting to me guys, is if you look at again, the early days of cloud, of course I always talked about that in small companies like ours John could have now access to information technology that only big companies could get access to. And now you've seen we just going to talk about it today. All these startups rise up and reach viability. But at the same time, Jeff you've seen big companies get the aha moment on cloud and competition drives urgency and that drives innovation. And so now you see everybody is doing cloud, it's a mandate. And so the expectation is a lot more innovation, experimentation and speed from all ends. It's really exciting to see. >> I know this sounds hackneyed and overused but it really, really still feels just like day one. We're 15 plus years into this. I still wake up every morning, like, wow what is the coolest thing that I'm going to get to learn about and write about today? We have the most amazing customers, one of the things that is great when you're so well connected to your customers, they keep telling you about their dreams, their aspirations, their use cases. And we can just take that and say we can actually build awesome things to help you address those use cases from the ground on up, from building custom hardware things like the nitro system, the graviton to the machine learning inferencing and training chips where we have such insight into customer use cases because we have these awesome customers that we can make these incredible pieces of hardware and software to really address those use cases. >> I'm glad you brought that up. This is another big change, right? You're getting the early days of cloud like, oh, Amazon they're just using off the shelf components. They're not buying these big refrigerator sized disc drives. And now you're developing all this custom Silicon and vertical integration in certain aspects of your business. And that's because workload is demanding. You've got to get more specialized in a lot of cases. >> Indeed they do. And if you watch Peter DeSantis' keynote at re-invent he talked about the fact that we're researching ways to make better cement that actually produces less carbon dioxide. So we're now literally at the from the ground on up level of construction. >> Jeff, I want to get a question from the crowd here. We got, (mumbles) who's a good friend of theCUBE cloud Arate from the beginning. He asked you, he wants to know if you'd like to share Amazon's edge aspirations. He says, he goes, I mean, roadmaps. I go, first of all, he's not going to talk about the roadmaps, but what can you share? I mean, obviously the edge is key. Outpost has been all in the news. You obviously at CloudOps is not a boundary. It's a distributed network. What's your response to-- >> Well, the funny thing is we don't generally have technology roadmaps inside the company. The roadmap is always listen really well to customers not just where they are, but the customers are just so great at saying, this is where we'd like to go. And when we hear edge, the customers don't generally come to us and say edge, they say we need as low latency as possible between where the action happens within our factory floors and our own offices and where we might be able to compute, analyze, store make decisions. And so that's resulted in things like outposts where we can put outposts in their own data center or their own field office, wavelength, where we're working with 5G telecom providers to put computing storage in the carrier hubs of the various 5G providers. Again, with reducing latency, we've been doing things like local zones, where we put zones in an increasing number of cities across the country with the goal of just reducing the average latency between the vast majority of customers and AWS resources. So instead of thinking edge, we really think in terms of how do we make sure that our customers can realize their dreams. >> Staying on the flywheel that AWS has built on ship stuff faster, make things faster, smaller, cheaper, great mission. I want to ask you about the working backwards document. I know it's been getting a lot of public awareness. I've been, that's all I've learned in interviewing Amazon folks. They always work backwards. I always mentioned the customer and all the interviews. So you've got a couple of customer references in there check the box there for you. But working backwards has become kind of a guiding principles, almost like a Harvard Business School case study approach to management. As you guys look at this working backwards and ex Amazonians have written books about it now so people can go look at, it's a really good methodology. Take us back to how you guys work back from the customers because here we're featuring 10 startups. So companies that are out there and Andy has been preaching this to customers. You should think about working backwards because it's so fast. These companies are going into this enterprise market your ecosystem of startups to provide value. What things are you seeing that customers need to think about to work backwards from their customer? How do you see that? 'Cause you've been on the community side, you see the tech side customers have to move fast and work backwards. What are the things that they need to focus on? What's your observation? >> So there's actually a brand new book called "Working Backwards," which I actually learned a lot about our own company from simply reading the book. And I think to me, a principal part of learning backward it's really about humility and being able to be a great listener. So you don't walk into a customer meeting ready to just broadcast the latest and greatest that we've been working on. You walk in and say, I'm here from AWS and I simply want to learn more about who you are, what you're doing. And most importantly, what do you want to do that we're not able to help you with right now? And then once we hear those kinds of things we don't simply write down kind of a bullet item of AWS needs to improve. It's this very active listening process. Tell me a little bit more about this challenge and if we solve it in this way or this way which one's a better fit for your needs. And then a typical AWS launch, we might talk to between 50 and 100 customers in depth to make sure that we have that detailed understanding of what they would like to do. We can't always meet all the needs of these customers but the idea is let's see what is the common base that we can address first. And then once we get that first iteration out there, let's keep listening, let's keep making it better and better and better as quickly. >> A lot of people might poopoo that John but I got to tell you, John, you will remember this the first time we ever met Andy Jassy face-to-face. I was in the room, you were on the speaker phone. We were building an app on AWS at the time. And he was asking you John, for feedback. And he was probing and he pulled out his notebook. He was writing down and he wasn't just superficial questions. He was like, well, why'd you do it that way? And he really wanted to dig. So this is cultural. >> Yeah. I mean, that's the classic Amazon. And that's the best thing about it is that you can go from zero startups zero stage startup to traction. And that was the premise of the cloud. Jeff, I want to get your thoughts and commentary on this love to get your opinion. You've seen this grow from the beginning. And I remember 'cause I've been playing with AWS since the beginning as well. And it says as an entrepreneur I remember my first EC2 instance that didn't even have custom domain support. It was the long URL. You seen the startups and now that we've been 15 years in, you see Dropbox was it just a startup back in the day. I remember these startups that when they were coming they were all born on Amazon, right? These big now unicorns, you were there when these guys were just developers and these gals. So what's it like, I mean, you see just the growth like here's a couple of people with them ideas rubbing nickels together, making magic happen who knows what's going to turn into, you've been there. What's it been like? >> It's been a really unique journey. And to me like the privilege of a lifetime, honestly I've like, you always want to be part of something amazing and you aspire to it and you study hard and you work hard and you always think, okay, somewhere in this universe something really cool is about to happen. And if you're really, really lucky and just a million great pieces of luck like lineup in series, sometimes it actually all works out and you get to be part of something like this when it does you don't always fully appreciate just how awesome it is from the inside, because you're just there just like feeding the machine and you are just doing your job just as fast as you possibly can. And in my case, it was listening to teams and writing blog posts about their launches and sharing them on social media, going out and speaking, you do it, you do it as quickly as possible. You're kind of running your whole life as you're doing that as well. And suddenly you just take a little step back and say, wow we did this kind of amazing thing, but we don't tend to like relax and say, okay, we've done it at Amazon. We get to a certain point. We recognize it. And five minutes later, we're like, okay, let's do the next amazingly good thing. But it's been this just unique privilege and something that I never thought I'd be fortunate enough to be a part of. >> Well, then the last few minutes we have Jeff I really appreciate you taking the time to spend with us for this inaugural launch of theCUBE on cloud startup showcase. We are showcasing 10 startups here from your ecosystem. And a lot of people who know AWS for the folks that don't you guys pride yourself on community and ecosystem the global startups program that Jeremy and his team are running. You guys nurture these startups. You want them to be successful. They're vectoring out into the marketplace with growth strategy, helping customers. What's your take on this ecosystem? As customers are out there listening to this what's your advice to them? How should they engage? Why is these sets of start-ups so important? >> Well, I totally love startups and I've spent time in several startups. I've spent other time consulting with them. And I think we're in this incredible time now wheres, it's so easy and straightforward to get those basic resources, to get your compute, to get your storage, to get your databases, to get your machine learning and to take that and to really focus on your customers and to build what you want. And we see this actual exponential growth. And we see these startups that find something to do. They listen to one of their customers, they build that solution. And they're just that feedback cycle gets started. It's really incredible. And I love to see the energy of these startups. I love to hear from them. And at any point if we've got an AWS powered startup and they build something awesome and want to share it with me, I'm all ears. I love to hear about them. Emails, Twitter mentions, whatever I'll just love to hear about all this energy all those great success with our startups. >> Jeff Barr, thank you for coming on. And congratulations, please pass on to Andy Jassy who's going to take over for Jeff Bezos and I saw the big news that he's picking a successor an Amazonian coming back into the fold, Adam. So congratulations on that. >> I will definitely pass on your congratulations to Andy and I worked with Adam in the past when AWS was just getting started and really looking forward to seeing him again, welcoming back and working with him. >> All right, Jeff Barr with AWS guys check out his Twitter and all the social coordinates. He is pumping out all the resources you need to know about if you're a developer or you're an enterprise looking to go to the next level, next generation, modern infrastructure. Thanks Jeff for coming on. Really appreciate it. Our next guests want to bring up stage Michael Liebow from McKinsey cube alumni, who is a great guest who is very timely in his McKinsey role with a paper he and his colleagues put out called cloud's trillion dollar prize up for grabs. Michael, thank you for coming up on stage with Dave and I. >> Hey, great to be here, John. Thank you. >> One of the things I loved about this and why I wanted you to come on was not only is the report awesome. And Dave has got a zillion questions, he want us to drill into. But in 2015, we wrote a story called Andy Jassy trillion dollar baby on Forbes, and then on medium and silken angle where we were the first ones to profile Andy Jassy and talk about this trillion dollar term. And Dave came up with the calculation and people thought we were crazy. What are you talking about trillion dollar opportunity. That was in 2015. You guys have put this together with a serious research report with methodology and you left a lot on the table. I noticed in the report you didn't even have a whole section quantified. So I think just scratching the surface trillion. I'd be a little light, Dave, so let's dig into it, Michael thanks for coming on. >> Well, and I got to say, Michael that John's a trillion dollar baby was revenue. Yours is EBITDA. So we're talking about seven to X, seven to eight X. What we were talking back then, but great job on the report. Fantastic work. >> Thank you. >> So tell us about the report gives a quick lowdown. I got some questions. You guys are unlocking the value drivers but give us a quick overview of this report that people can get for free. So everyone who's registered will get a copy but give us a quick rundown. >> Great. Well the question I think that has bothered all of us for a long time is what's the business value of cloud and how do you quantify it? How do you specify it? Because a lot of people talk around the infrastructure or technical value of cloud but that actually is a big problem because it just scratches the surface of the potential of what cloud can mean. And we focus around the fortune 500. So we had to box us in somewhat. And so focusing on the fortune 500 and fast forwarding to 2030, we put out this number that there's over a trillion dollars worth of value. And we did a lot of analysis using research from a variety of partners, using third-party research, primary research in order to come up with this view. So the business value is two X the technical value of cloud. And as you just pointed out, there is a whole unlock of additional value where organizations can pioneer on some of the newest technologies. And so AWS and others are creating platforms in order to do not just machine learning and analytics and IOT, but also for quantum or mixed reality for blockchain. And so organizations specific around the fortune 500 that aren't leveraging these capabilities today are going to get left behind. And that's the message we were trying to deliver that if you're not doing this and doing this with purpose and with great execution, that others, whether it's others in your industry or upstarts who were motioning into your industry, because as you say cloud democratizes compute, it provides these capabilities and small companies with talent. And that's what the skills can leverage these capabilities ahead of slow moving incumbents. And I think that was the critical component. So that gives you the framework. We can deep dive based on your questions. >> Well before we get into the deep dive, I want to ask you we have startups being showcased here as part of the, it will showcase, they're coming out of the ecosystem. They have a lot of certification from Amazon and they're secure, which is a big issue. Enterprises that you guys talk to McKinsey speaks directly to I call the boardroom CXOs, the top executives. Are they realizing that the scale and timing of this agility window? I mean, you want to go through these key areas that you would break out but as startups become more relevant the boardrooms that are making these big decisions realize that their businesses are up for grabs. Do they realize that all this wealth is shifting? And do they see the role of startups helping them? How did you guys come out of them and report on that piece? >> Well in terms of the whole notion, we came up with this framework which looked at the opportunity. We talked about it in terms of three dimensions, rejuvenate, innovate and pioneer. And so from the standpoint of a board they're more than focused on not just efficiency and cost reduction basically tied to nation, but innovation tied to analytics tied to machine learning, tied to IOT, tied to two key attributes of cloud speed and scale. And one of the things that we did in the paper was leverage case examples from across industry, across-region there's 17 different case examples. My three favorite is one is Moderna. So software for life couldn't have delivered the vaccine as fast as they did without cloud. My second example was Goldman Sachs got into consumer banking is the platform behind the Apple card couldn't have done it without leveraging cloud. And the third example, particularly in early days of the pandemic was Zoom that added five to 6,000 servers a night in order to scale to meet the demand. And so all three of those examples, plus the other 14 just indicate in business terms what the potential is and to convince boards and the C-suite that if you're not doing this, and we have some recommendations in terms of what CEOs should do in order to leverage this but to really take advantage of those capabilities. >> Michael, I think it's important to point out the approach at sometimes it gets a little wonky on the methodology but having done a lot of these types of studies and observed there's a lot of superficial studies out there, a lot of times people will do, they'll go I'll talk to a customer. What kind of ROI did you get? And boom, that's the value study. You took a different approach. You have benchmark data, you talked to a lot of companies. You obviously have a lot of financial data. You use some third-party data, you built models, you bounded it. And ultimately when you do these things you have to ascribe a value contribution to the cloud component because fortunate 500 companies are going to grow even if there were no cloud. And the way you did that is again, you talk to people you model things, and it's a very detailed study. And I think it's worth pointing out that this was not just hey what'd you get from going to cloud before and after. This was a very detailed deep dive with really a lot of good background work going into it. >> Yeah, we're very fortunate to have the McKinsey Global Institute which has done extensive studies in these areas. So there was a base of knowledge that we could leverage. In fact, we looked at over 700 use cases across 19 industries in order to unpack the value that cloud contributed to those use cases. And so getting down to that level of specificity really, I think helps build it from the bottom up and then using cloud measures or KPIs that indicate the value like how much faster you can deploy, how much faster you can develop. So these are things that help to kind of inform the overall model. >> Yeah. Again, having done hundreds, if not thousands of these types of things, when you start talking to people the patterns emerge, I want to ask you there's an exhibit tool in here, which is right on those use cases, retail, healthcare, high-tech oil and gas banking, and a lot of examples. And I went through them all and virtually every single one of them from a value contribution standpoint the unlocking value came down to data large data sets, document analysis, converting sentiment analysis, analytics. I mean, it really does come down to the data. And I wonder if you could comment on that and why is it that cloud is enabled that? >> Well, it goes back to scale. And I think the word that I would use would be data gravity because we're talking about massive amounts of data. So as you go through those kind of three dimensions in terms of rejuvenation one of the things you can do as you optimize and clarify and build better resiliency the thing that comes into play I think is to have clean data and data that's available in multiple places that you can create an underlying platform in order to leverage the services, the capabilities around, building out that structure. >> And then if I may, so you had this again I want to stress as EBITDA. It's not a revenue and it's the EBITDA potential as a result of leveraging cloud. And you listed a number of industries. And I wonder if you could comment on the patterns that you saw. I mean, it doesn't seem to be as simple as Negroponte bits versus Adam's in terms of your ability to unlock value. What are the patterns that you saw there and why are the ones that have so much potential why are they at the top of the list? >> Well, I mean, they're ranked based on impact. So the five greatest industries and again, aligned by the fortune 500. So it's interesting when you start to unpack it that way high-tech oil, gas, retail, healthcare, insurance and banking, right? Top. And so we did look at the different solutions that were in that, tried to decipher what was fully unlocked by cloud, what was accelerated by cloud and what was perhaps in this timeframe remaining on premise. And so we kind of step by step, expert by expert, use case by use case deciphered of the 700, how that applied. >> So how should practitioners within organizations business but how should they use this data? What would you recommend, in terms of how they think about it, how they apply it to their business, how they communicate? >> Well, I think clearly what came out was a set of best practices for what organizations that were leveraging cloud and getting the kind of business return, three things stood out, execution, experience and excellence. And so for under execution it's not just the transaction, you're not just buying cloud you're changing their operating model. And so if the organization isn't kind of retooling the model, the processes, the workflows in order to support creating the roles then they aren't going to be able, they aren't going to be successful. In terms of experience, that's all about hands-on. And so you have to dive in, you have to start you have to apply yourself, you have to gain that applied knowledge. And so if you're not gaining that experience, you're not going to move forward. And then in terms of excellence, and it was mentioned earlier by Jeff re-skilling, up-skilling, if you're not committed to your workforce and pushing certification, pushing training in order to really evolve your workforce or your ways of working you're not going to leverage cloud. So those three best practices really came up on top in terms of what a mature cloud adopter looks like. >> That's awesome. Michael, thank you for coming on. Really appreciate it. Last question I have for you as we wrap up this trillion dollar segment upon intended is the cloud mindset. You mentioned partnering and scaling up. The role of the enterprise and business is to partner with the technologists, not just the technologies but the companies talk about this cloud native mindset because it's not just lift and shift and run apps. And I have an IT optimization issue. It's about innovating next gen solutions and you're seeing it in public sector. You're seeing it in the commercial sector, all areas where the relationship with partners and companies and startups in particular, this is the startup showcase. These are startups are more relevant than ever as the tide is shifting to a new generation of companies. >> Yeah, so a lot of think about an engine. A lot of things have to work in order to produce the kind of results that we're talking about. Brad, you're more than fair share or unfair share of trillion dollars. And so CEOs need to lead this in bold fashion. Number one, they need to craft the moonshot or the Marshot. They have to set that goal, that aspiration. And it has to be a stretch goal for the organization because cloud is the only way to enable that achievement of that aspiration that's number one, number two, they really need a hardheaded economic case. It has to be defined in terms of what the expectation is going to be. So it's not loose. It's very, very well and defined. And in some respects time box what can we do here? I would say the cloud data, your organization has to move in an agile fashion training DevOps, and the fourth thing, and this is where the startups come in is the cloud platform. There has to be an underlying platform that supports those aspirations. It's an art, it's not just an architecture. It's a living, breathing live service with integrations, with standardization, with self service that enables this whole program. >> Awesome, Michael, thank you for coming on and sharing the McKinsey perspective. The report, the clouds trillion dollar prize is up for grabs. Everyone who's registered for this event will get a copy. We will appreciate it's also on the website. We'll make sure everyone gets a copy. Thanks for coming, I appreciate it. Thank you. >> Thanks, Michael. >> Okay, Dave, big discussion there. Trillion dollar baby. That's the cloud. That's Jassy. Now he's going to be the CEO of AWS. They have a new CEO they announced. So that's going to be good for Amazon's kind of got clarity on the succession to Jassy, trusted soldier. The ecosystem is big for Amazon. Unlike Microsoft, they have the different view, right? They have some apps, but they're cultivating as many startups and enterprises as possible in the cloud. And no better reason to change gears here and get a venture capitalist in here. And a friend of theCUBE, Jerry Chen let's bring them up on stage. Jerry Chen, great to see you partner at Greylock making all the big investments. Good to see you >> John hey, Dave it's great to be here with you guys. Happy marks.Can you see that? >> Hey Jerry, good to see you man >> So Jerry, our first inaugural AWS startup showcase we'll be doing these quarterly and we're going to be featuring the best of the best, you're investing in all the hot startups. We've been tracking your careers from the beginning. You're a good friend of theCUBE. Always got great commentary. Why are startups more important than ever before? Because in the old days we've talked about theCUBE before startups had to go through certain certifications and you've got tire kicking, you got to go through IT. It's like going through security at the airport, take your shoes off, put your belt on thing. I mean, all kinds of things now different. The world has changed. What's your take? >> I think startups have always been a great way for experimentation, right? It's either new technologies, new business models, new markets they can move faster, the experiment, and a lot of startups don't work, unfortunately, but a lot of them turned to be multi-billion dollar companies. I thing startup is more important because as we come out COVID and economy is recovery is a great way for individuals, engineers, for companies for different markets to try different things out. And I think startups are running multiple experiments at the same time across the globe trying to figure how to do things better, faster, cheaper. >> And McKinsey points out this use case of rejuvenate, which is essentially retool pivot essentially get your costs down or and the next innovation here where there's Tam there's trillion dollars on unlock value and where the bulk of it is is the innovation, the new use cases and existing new use cases. This is where the enterprises really have an opportunity. Could you share your thoughts as you invest in the startups to attack these new waves these new areas where it may not look the same as before, what's your assessment of this kind of innovation, these new use cases? >> I think we talked last time about kind of changing the COVID the past year and there's been acceleration of things like how we work, education, medicine all these things are going online. So I think that's very clear. The first wave of innovation is like, hey things we didn't think we could be possible, like working remotely, e-commerce everywhere, telemedicine, tele-education, that's happening. I think the second order of fact now is okay as enterprises realize that this is the new reality everything is digital, everything is in the cloud and everything's going to be more kind of electronic relation with the customers. I think that we're rethinking what does it mean to be a business? What does it mean to be a bank? What does it mean to be a car company or an energy company? What does it mean to be a retailer? Right? So I think the rethinking that brands are now global, brands are all online. And they now have relationships with the customers directly. So I think if you are a business now, you have to re experiment or rethink about your business model. If you thought you were a Nike selling shoes to the retailers, like half of Nike's revenue is now digital right all online. So instead of selling sneakers through stores they're now a direct to consumer brand. And so I think every business is going to rethink about what the AR. Airbnb is like are they in the travel business or the experience business, right? Airlines, what business are they in? >> Yeah, theCUBE we're direct to consumer virtual totally opened up our business model. Dave, the cloud premise is interesting now. I mean, let's reset this where we are, right? Andy Jassy always talks about the old guard, new guard. Okay we've been there done that, even though they still have a lot of Oracle inside AWS which we were joking the other day, but this new modern era coming out of COVID Jerry brings this up. These startups are going to be relevant take territory down in the enterprises as new things develop. What's your premise of the cloud and AWS prospect? >> Well, so Jerry, I want to to ask you. >> Jerry: Yeah. >> The other night, last Thursday, I think we were in Clubhouse. Ben Horowitz was on and Martine Casado was laying out this sort of premise about cloud startups saying basically at some point they're going to have to repatriate because of the Amazon VIG. I mean, I'm paraphrasing and I guess the premise was that there's this variable cost that grows as you scale but I kind of shook my head and I went back. You saw, I put it out on Twitter a clip that we had the a couple of years ago and I don't think, I certainly didn't see it that way. Maybe I'm getting it wrong but what's your take on that? I just don't see a snowflake ever saying, okay we're going to go build our own data center or we're going to repatriate 'cause they're going to end up like service now and have this high cost infrastructure. What do you think? >> Yeah, look, I think Martin is an old friend from VMware and he's brilliant. He has placed a lot of insights. There is some insights around, at some point a scale, use of startup can probably run things more cost-effectively in your own data center, right? But I think that's fewer companies more the vast majority, right? At some point, but number two, to your point, Dave going on premise versus your own data center are two different things. So on premise in a customer's environment versus your own data center are two different worlds. So at some point some scale, a lot of the large SaaS companies run their own data centers that makes sense, Facebook and Google they're at scale, they run their own data centers, going on premise or customer's environment like a fortune 100 bank or something like that. That's a different story. There are reasons to do that around compliance or data gravity, Dave, but Amazon's costs, I don't think is a legitimate reason. Like if price is an issue that could be solved much faster than architectural decisions or tech stacks, right? Once you're on the cloud I think the thesis, the conversation we had like a year ago was the way you build apps are very different in the cloud and the way built apps on premise, right? You have assume storage, networking and compute elasticity that's independent each other. You don't really get that in a customer's data center or their own environment even with all the new technologies. So you can't really go from cloud back to on-premise because the way you build your apps look very, very different. So I would say for sure at some scale run your own data center that's why the hyperscale guys do that. On-premise for customers, data gravity, compliance governance, great reasons to go on premise but for vast majority of startups and vast majority of customers, the network effects you get for being in the cloud, the network effects you get from having everything in this alas cloud service I think outweighs any of the costs. >> I couldn't agree more and that's where the data is, at the way I look at it is your technology spend is going to be some percentage of revenue and it's going to be generally flat over time and you're going to have to manage it whether it's in the cloud or it's on prem John. >> Yeah, we had a quote on theCUBE on the conscious that had Jerry I want to get your reaction to this. The executive said, if you don't have an AI strategy built into your value proposition you will be shorted as a stock on wall street. And I even went further. So you'll probably be delisted cause you won't be performing with a tongue in cheek comment. But the reality is that that's indicating that everyone has to have AI in their thing. Mainly as a reality, what's your take on that? I know you've got a lot of investments in this area as AI becomes beyond fashion and becomes table stakes. Where are we on that spectrum? And how does that impact business and society as that becomes a key part of the stack and application stack? >> Yeah, I think John you've seen AI machine learning turn out to be some kind of novelty thing that a bunch of CS professors working on years ago to a funnel piece of every application. So I would say the statement of the sentiment's directionally correct that 20 years ago if you didn't have a web strategy or a website as a company, your company be sure it, right? If you didn't have kind of a internet website, you weren't real company. Likewise, if you don't use AI now to power your applications or machine learning in some form or fashion for sure you'd be at a competitive disadvantage to everyone else. And just like if you're not using software intelligently or the cloud intelligently your stock as a company is going to underperform the rest of the market. And the cloud guys on the startups that we're backing are making AI so accessible and so easy for developers today that it's really easy to use some level of machine learning, any applications, if you're not doing that it's like not having a website in 1999. >> Yeah. So let's get into that whole operation side. So what would you be your advice to the enterprises that are watching and people who are making decisions on architecture and how they roll out their business model or value proposition? How should they look at AI and operations? I mean big theme is day two operations. You've got IT service management, all these things are being disrupted. What's the operational impact to this? What's your view on that? >> So I think two things, one thing that you and Dave both talked about operation is the key, I mean, operations is not just the guts of the business but the actual people running the business, right? And so we forget that one of the values are going to cloud, one of the values of giving these services is you not only have a different technology stack, all the bits, you have a different human stack meaning the people running your cloud, running your data center are now effectively outsource to Amazon, Google or Azure, right? Which I think a big part of the Amazon VIG as Dave said, is so eloquently on Twitter per se, right? You're really paying for those folks like carry pagers. Now take that to the next level. Operations is human beings, people intelligently trying to figure out how my business can run better, right? And that's either accelerate revenue or decrease costs, improve my margin. So if you want to use machine learning, I would say there's two areas to think about. One is how I think about customers, right? So we both talked about the amount of data being generated around enterprise individuals. So intelligently use machine learning how to serve my customers better, then number two AI and machine learning internally how to run my business better, right? Can I take cost out? Can I optimize supply chain? Can I use my warehouses more efficiently my logistics more efficiently? So one is how do I use AI learning to be a more familiar more customer oriented and number two, how can I take cost out be more efficient as a company, by writing AI internally from finance ops, et cetera. >> So, Jerry, I wonder if I could ask you a little different subject but a question on tactical valuations how coupled or decoupled are private company valuations from the public markets. You're seeing the public markets everybody's freaking out 'cause interest rates are going to go up. So the future value of cash flows are lower. Does that trickle in quickly into the private markets? Or is it a whole different dynamic? >> If I could weigh in poly for some private markets Dave I would have a different job than I do today. I think the reality is in the long run it doesn't matter as much as long as you're investing early. Now that's an easy answer say, boats have to fall away. Yes, interest rates will probably go up because they're hard to go lower, right? They're effectively almost zero to negative right now in most of the developed world, but at the end of the day, I'm not going to trade my Twilio shares or Salesforce shares for like a 1% yield bond, right? I'm going to hold the high growth tech stocks because regardless of what interest rates you're giving me 1%, 2%, 3%, I'm still going to beat that with a top tech performers, Snowflake, Twilio Hashi Corp, bunch of the private companies out there I think are elastic. They're going to have a great 10, 15 year run. And in the Greylock portfolio like the things we're investing in, I'm super bullish on from Roxanne to Kronos fear, to true era in the AI space. I think in the long run, next 10 years these things will outperform the market that said, right valuation prices have gone up and down and they will in our careers, they have. In the careers we've been covering tech. So I do believe that they're high now they'll come down for sure. Will they go back up again? Definitely, right? But as long as you're betting these macro waves I think we're all be good. >> Great answer as usual. Would you trade them for NFTs Jerry? >> That $69 million people piece of artwork look, I mean, I'm a longterm believer in kind of IP and property rights in the blockchain, right? And I'm waiting for theCUBE to mint this video as the NFT, when we do this guys, we'll mint this video's NFT and see how much people pay for the original Dave, John, Jerry (mumbles). >> Hey, you know what? We can probably get some good bang for that. Hey it's all about this next Jerry. Jerry, great to have you on, final question as we got this one minute left what's your advice to the people out there that either engaging with these innovative startups, we're going to feature startups every quarter from the in the Amazon ecosystem, they are going to be adding value. What's the advice to the enterprises that are engaging startups, the approach, posture, what's your advice. >> Yeah, when I talk to CIOs and large enterprises, they often are wary like, hey, when do I engage a startup? How, what businesses, and is it risky or low risk? Now I say, just like any career managing, just like any investment you're making in a big, small company you should have a budget or set of projects. And then I want to say to a CIO, Hey, every priority on your wish list, go use the startup, right? I mean, that would be 10 for 10 projects, 10 startups. Probably too much risk for a lot of tech companies. But we would say to most CIOs and executives, look, there are strategic initiatives in your business that you want to accelerate. And I would take the time to invest in one or two startups each quarter selectively, right? Use the time, focus on fewer startups, go deep with them because we can actually be game changers in terms of inflecting your business. And what I mean by that is don't pick too many startups because you can't devote the time, but don't pick zero startups because you're going to be left behind, right? It'd be shorted as a stock by the John, Dave and Jerry hedge fund apparently but pick a handful of startups in your strategic areas, in your top tier three things. These really, these could be accelerators for your career. >> I have to ask you real quick while you're here. We've got a couple minutes left on startups that are building apps. I've seen DevOps and the infrastructure as code movement has gone full mainstream. That's really what we're living right now. That kind of first-generation commercialization of DevOps. Now DevSecOps, what are the trends that you've seen that's different from say a couple of years ago now that we're in COVID around how apps are being built? Is it security? Is it the data integration? What can you share as a key app stack impact (mumbles)? >> Yeah, I think there're two things one is security is always been a top priority. I think that was the only going forward period, right? Security for sure. That's why you said that DevOps, DevSecOps like security is often overlooked but I think increasingly could be more important. The second thing is I think we talked about Dave mentioned earlier just the data around customers, the data on premise or the cloud, and there's a ton of data out there. We keep saying this over and over again like data's new oil, et cetera. It's evolving and not changing because the way we're using data finding data is changing in terms of sources of data we're using and discovering and also speed of data, right? In terms of going from Basser real-time is changing. The speed of business has changed to go faster. So I think these are all things that we're thinking about. So both security and how you use your data faster and better. >> Yeah you were in theCUBE a number of years ago and I remember either John or I asked you about you think Amazon is going to go up the stack and start developing applications and your answer was you know what I think no, I think they're going to enable a new set of disruptors to come in and disrupt the SaaS world. And I think that's largely playing out. And one of the interesting things about Adam Selipsky appointment to the CEO, he comes from Tableau. He really helped Tableau go from that sort of old guard model to an ARR model obviously executed a great exit to Salesforce. And now I see companies like Salesforce and service now and Workday is potential for your scenario to really play out. They've got in my view anyway, outdated pricing models. You look at what's how Snowflake's pricing and the consumption basis, same with Datadog same with Stripe and new startups seem to really be a leading into the consumption-based pricing model. So how do you, what are your thoughts on that? And maybe thoughts on Adam and thoughts on SaaS disruption? >> I think my thesis still holds that. I don't think Selipsky Adam is going to go into the app space aggressively. I think Amazon wants to enable next generation apps and seeing some of the new service that they're doing is they're kind of deconstructing apps, right? They're deconstructing the parts of CRM or e-commerce and they're offering them as services. So I think you're going to see Amazon continue to say, hey we're the core parts of an app like payments or custom prediction or some machine learning things around applications you want to buy bacon, they're going to turn those things to the API and sell those services, right? So you look at things like Stripe, Twilio which are two of the biggest companies out there. They're not apps themselves, they're the components of the app, right? Either e-commerce or messaging communications. So I can see Amazon going down that path. I think Adam is a great choice, right? He was a longterm early AWS exact from the early days latent to your point Dave really helped take Tableau into kind of a cloud business acquired by Salesforce work there for a few years under Benioff the guy who created quote unquote cloud and now him coming home again and back to Amazon. So I think it'll be exciting to see how Adam runs the business. >> And John I think he's the perfect choice because he's got operations chops and he knows how to... He can help the startups disrupt. >> Yeah, and he's been a trusted soldier of Jassy from the beginning, he knows the DNA. He's got some CEO outside experience. I think that was the key he knows. And he's not going to give up Amazon speed, but this is baby, right? So he's got him in charge and he's a trusted lieutenant. >> You think. Yeah, you think he's going to hold the mic? >> Yeah. We got to go. Jerry Chen thank you very much for coming on. Really appreciate it. Great to see you. Thanks for coming on our inaugural cube on cloud AWS startup event. Now for the 10 startups, enjoy the sessions at 12:30 Pacific, we're going to have the closing keynote. I'm John Ferry for Dave Vellante and our special guests, thanks for watching and enjoy the rest of the day and the 10 startups. (upbeat music)

(upbeat music) >> Hello, welcome back to this cube conversation, on cube on cloud startups. I'm John Furrier host of theCUBE. We're wrapping up the closing keynote fireside chat of the AWS showcase, the hottest startups in data and cloud. We've got some great guests here to eluminate what's happened and why it's important. And Michael Skok who's the founding partner, Michael Skok founding partner of Underscore VC, Mike Feinstein, principal business development manager, and the best Ben Haynes CIO advisor Lincoln Center for the Performing Arts. Gentlemen, thank you for joining me for this closing keynote for the AWS showcase. >> Pleasure to be here. >> So, first of all-- >> Happy to be here >> Guys, do you guys have a unique background from startup funding, growing companies, managing these partners at AWS and being a practitioner with Ben here. The first question I have is, what is the real market opportunity? We've heard from McKinsey that there's a trillion dollars of unlocked value in cloud and that really is going to come from all enterprises big and small. So the question is that that's what every wants to know. What's the secret answer key to the to the test if you are a business. 'Cause you don't want to be on the wrong side of cloud history here. There is a playbook, there's some formation of patterns and there's some playbook things happening out there. How do you guys see this? >> Well, I can try to take a crack at that. First of all I think, there's not only one playbook, you know, only one recipe. If it's a trillion dollar opportunity, that's in the aggregate. There's many different types of opportunities. I think you could have existing companies that are maybe older line companies that need to change the way they're doing things. You can have the younger companies that are trying to take advantage of all the data they've already collected and try to get more value out of it. There could be some radically different types of opportunities with newer technology. I think, you know, for each company just like each of the companies here at the showcase today, they are targeting some, you know, segment of this. Each of those segments is already large. And I think you're going to see a wide range of solutions taking hold here. >> Yeah, cloud drives a lot of value. Michael, I want to get your thoughts. You know, you've seen the software revolution you know, over the years. This time it seems to be accelerated, the time to value, if you're a startup. I mean, you couldn't ask for the perfect storm for our innovation if you're coming out of MIT, Stanford, any college. If you're not even going to school you can get in cloud, do anything. Starting software now is not as hard as it was or its different. What's your perspective because you know, these companies are adding treated value and they're going into an enterprise market that wants scale, they want the reliability. How do you see this evolving? >> You know, the very first time I saw Bezos get on stage and pitch AWS he said one thing which is, "We take away all the hard stuff about starting a software business and let you focus on the innovation." And I think that's still applies. So you're dead right John. And honestly, most founders don't want to spend any time on anything other than unique piece of innovation that they're going to deliver for their customers. So, I think that is fabulous news. I'm going to joke for a second, so I think we're all under shooting on this number. I mean, the reality is that every part of compute infrastructure that we talk about today was built from an infrastructure that's you know, decades old. By which I mean 30 to 50 decades in some 30 to 50 years in some cases. And we look forward in 30 to 50 years, we won't be talking about cloud or everything else. We'll be just talking about computing or whatever it is that we want to talk about at the edge. Or the application of data that you know, in a car and an ARVR heads up display that's helping surgeons work across the world. The fact is the only way this is really going to work is on the cloud. So I think it's a multi-trillion dollar opportunity, we're just taking a snapshot of it right now. And we're in an interesting point because of course digital transformation has been rapidly accelerated. I mean, there's all these jokes about you know, we've had five years of transformation in five months. I don't really care what the number is but what is obvious is that we couldn't have gone off to work and to play and to teach and all these other things without the cloud. And we just took it for granted but a year ago, that's what we all did and look, they're thriving. This whole thing is that, you know, a live broadcast that we're doing on the cloud. So yeah, I think it's a very big opportunity and whatever sector I think to Mike's point, that you look at and all the companies that you've seen this morning prove that, if you want to innovate today, you start on the cloud. Your cloud native as I would say. And as you grow, you will be a cloud assumed. It will be the basis on which everybody wants to access your products and services. So I'm excited about the future if you can't tell. >> I totally subscribe to that. Ben, I want to get your take as the CIO, now advisor to companies. If you're going to look at what Michael's laying out, which is born in the cloud native, they have an advantage, an inherent advantage right out of the gate. They have speed agility and scale. If you're an existing business you say, "Wait a minute I'm going to be competed against these hot startups." There's some serious fear of missing out and fear of getting screwed, right? I mean, you might go out of business. So this is the real threat. This is not just talked about, there's real examples now playing out. So as a practitioner, thinking about re-architecting or rejuvenating or pivoting or just being competitive. It's really the pressure's there. How do you see this? >> Yeah I know it really is. And every enterprise company and through every decade is it's a buyer versus build conversation. And with the cloud opportunities, you can actually build a lot quicker or you can leverage companies that can even go quicker than you that have a focus on innovation. 'Cause sometimes enterprise companies, it's hard to focus on the really cool stuff and that's going to bring value but maybe it won't. So if you can partner with someone and some of these companies that you just showcase, start doing some amazing things. That can actually help accelerate your own internal innovation a lot quicker than trying to spool up your own team. >> We heard some companies talking about day two operations lift and shift, not a layup either. I mean, lift and shift if not done properly as it's well discussed. And McKinsey actually puts that in their report as there's other point outs. It's not a no brainer. I mean, it's a no brainer to go to the cloud but if you lift and shift without really thinking it through or remediating anything, it could be, it could cost more. And you got the CAPEX and OPEX dynamics. So, certainly cloud is happening and this kind of gives a great segue into our next topic that I'd love to get you guys to weigh in on. And that is the business model, the business structure, business organization. Michael you brought up some interesting topics around, some of the new ideas that could be, you know, decentralized or just different consumption capabilities on both sides of the equation. So, the market's there, trillions and trillions of dollars are shifting and the spoils will go to the ones who are smart and agile and fast. But the business model, you could have it, you could be in the right market, but the wrong business model. Who wants to take the first cut at that? >> Mike do you want to go? >> Sure, I'd be happy to. I think that, you know, I mean again, there's not there only going to be one answer but I think one of the things that really make sense is that the business models can be much more consumption-based. You're certainly not going to see annual software licenses that you saw in the old world. Things are going to be much more consumption-based obviously software is a service type of models. And you're going to see, I think lots of different innovations. I've also seen a lot of companies that are starting up kind of based on open source as like a first foray. So there's an open source project that really catches hold. And then a company comes up behind it to both enhance it and to also provide support and to make it a real enterprise offering. But they get there early quick adoption of the frontline engineers by starting off with an open source project. And that's a model that I've seen work quite well. And I think it's a very interesting one. So, you know, the most important thing is that the business model has to be one that's as flexible as what the solutions are that you're trying to get the customers to adopt. The old way of everything being kind of locked in and rigid isn't going to work in this world 'cause you have to just really be agile. >> I want to come back to you Mike in a second on this 'cause I know Amazon's got some innovative go to market stuff. Michael you've written about this, I've read many blog posts on your side about SaaS piece. What's your take on business structure. I mean, obviously with remote, it's clear people are recognizing virtual companies are available. You mentioned you know, edge and compute, and these new app, these emerging technologies. Does the business structure and models shift? Do you have to be on certain side of this business model innovation? How do you view? 'Cause you're seeing the startups who are usually crazy at first, but then they become correct at the end of the day. What's your take? >> Well first of all, I love this debate because it's over. We used to have things that were not successful that would become shelfware. And that just doesn't work in the cloud. There is no shelfware. You're either live and being used or you're dead. So the great news about this is, it's very visible. You know, you can measure every person's connection to you for how long and what they're doing. And so the people that are smart, don't start with this question, the business model. They start with what am I actually doing for my user that's in value them? So I'll give you some examples like build on Mike's team. So, you know, I backed a company called Acquia. But it was based on an open source project called Drupal. Which was initially used for content management. Great, but people started building on it and over time, it became used for everything from the Olympics and hosting, you know, theirs to the Grammy's, to you know, pick your favorite consumer brand that was using it to host all of their different brands and being very particular about giving people the experiences. So, it's now a digital experience platform. But the reason that it grew successfully as a company is because on top of the open source project, we could see what people were doing. And so we built what in effect was the basis for them to get comfortable. By the way, Amazon is very fundamental partner in this was, became an investor extremely helpful. And again, took away all the heavy lifting so we could focus on the innovation. And so that's an example of what's going on. And the model there is very simple. People are paying for what they use to put that digital experience of that, to create a great customer journey. And for people to have the experience that obviously you know, makes the brand look good or makes the audience feel great if it's the Grammy's or whatever it is. So I think that's one example, but I'll give you two others because they are totally different. And one of the most recent investments we made is in a company called Coder. Which is a doc spelled backwards. and it's a new kind of doc that enables people to collaborate and to bring data and graphics and workflow and everything else, all into the simplicity of what's like opening up a doc. And they don't actually charge anybody who uses their docs. They just charge for people who make their docs. So its a make a best pricing, which is very interesting. They've got phenomenal metrics. I mean they're like over 140% net dollar retention, which is astoundingly good. And they grew over three and a half times last year. So that's another model, but it's consumer and it's, you know, as I said, make a price. And then, you know, another company we've been involved with if I look at it way back was Demand Web. It was the first e-commerce on demand company. We didn't charge for the software at all. We didn't charge for anything in fact. what we did was to take a percentage of the sales that went through the platform. And of course everybody loved that because, you know, if we were selling more or getting better uplift then everybody started to do very well. So, you know, the world's biggest brands moved online and started using our platform because they didn't want to create all that infrastructure. Another totally different model. And I could go on but the point is, if you start from the customer viewpoint like what are you doing for the customer? Are you helping them sell more? Or are you helping them build more effective business processes or better experiences? I think you've got a fantastic opportunity to build a great model in the cloud. >> Yeah, it's a great point. I think that's a great highlight also call out for expectations become the experience, as the old saying goes. If a customer sees value in something, you don't have to be tied to old ways of selling or pricing. And this brings up, Ben, I want to tie in you in here and maybe bring Mike back in. As an enterprise, it used to be the old adage of, well startups are unreliable, blah, blah, blah, you know, they got to get certified and enterprise usually do things more complicated than say consumer businesses. But now Amazon has all kinds of go to market. They have the marketplace, they have all kinds of the partner networks. This certification integration is a huge part of this. So back to, you know, Michael's point of, if you're dead you're dead or knows it, but if you're alive you usually have some momentum it's usually well understood, but then you have to integrate. So it has to be consumable for the enterprise. So Ben, how do you see that? Because at the end of the day, there's this desire for the better product and the better use case. That can, how do I procure it? Integration? These used to be really hard problems. Seems to be getting easier or are they? What's your take? >> Not 100%. I mean, even five years ago you would have to ask a lot of startups for a single sign on and as table stakes now. So the smart ones are understanding the enterprise principles that we need and a lot of it is around security. And then, they're building that from the start, from the start of their products. And so if you get out of that security hurdle, the stability so far is a lot more improved because they are, you know, a lot more focused and moving in a really, really quick way which can help companies, you know, move quickly. So definitely seen an improvement and there's still, the major entry point is credit card, small user base, small pricing, so you're not dealing with procurement. And building your way up into the big purchase model, right? And that model hasn't changed except the start is a lot lot quicker and a lot easier to get going. >> You know, I remember the story of the Amazon web stores, how they won the CIA contract is someone put a test on a credit card and IBM had the deal in their back pocket. They had the Ivory Tower sales call, Michael, you know the playbook on enterprise sales, you know, you got the oracles and you guys call it the top golf tournament smoothing and then you got the middle and then you got the bottoms up you got the, you know, the data dogs of the world who can just come in with freemium. So there's different approaches. How do you guys see that? Michael and Mike, I'd love for you to weigh in on this because this is really where there's no one answer, but depending upon the use case, there's certain motions that work better. Can you elaborate on which companies should pay attention to what and how customers should understand how they're buying? >> Yeah, I can go first on that. I think that first of all, with every customer it's going to be a little different situation, depends on the scale of the solution. But I find that, these very large kind of, you know, make a huge decision and buy some really big thing all at once. That's not happening very much anymore. As you said John, people are kind of building up it's either a grassroots adoption that then becomes an enterprise sale, or there is some trials or smaller deployments that then build up at enterprise sales. Companies can't make those huge mistake. So if they're going to make a big commitment it's based on confidence, that's come from earlier success. And one of the things that we do at AWS in addition to kind of helping enterprises choose the right technology partners, such as many of the companies here today. We also have solutions partners that can help them analyze the market and make the choice and help them implement it. So depending on the level of help that they need, there's lots of different resources that are going to be available to help them make the right choice the first time. >> Michael, your thoughts on this, because ecosystems are a part of the entire thing and partnering with Amazon or any cloud player, you need to be secure. You need to have all the certifications. But the end of the day, if it works, it works. And you can consume it whatever way you can. I mean, you can buy download through the marketplace. You can go direct, it's free. What do you see as the best mix of go to market from a cloud standpoint? Given that there's a variety of different use cases. >> Well, I'm going to play off Ben and Mike on this one and say, you know, there's a perfect example of what Ben brought up, which is single sign on. For some companies, if you don't have that you just can't get in the door. And at the other extreme to what Mike is saying, you know, there are reasons why people want to try stuff before they buy it. And so, you've got to find some way in between these two things to either partner with the right people that have the whole product solution to work with you. So, you know, if you don't have single sign on, you know, go work with Okta. And if you don't have all the certification that's needed well, work with AWS and you know, take it on that side of cash and have better security than anybody. So there's all sorts of ways to do this. But the bottom line is I think you got to be able to share value before you charge. And I'll give you two examples that are extreme in our portfolio, because I think it will show the sort of the edge with these two things. You know, the first one is a company called Popcart. It's been featured a lot in the press because when COVID hit, nobody could find whatever it was, that TP or you know, the latest supplies that they wanted. And so Popcart basically made it possible for people to say, "Okay, go track all the favorite suppliers." Whether it's your Walmarts or your Targets or your Amazons, et cetera. And they would come back and show you the best price and (indistinct) it cost you nothing. Once you started buying of course they were getting (indistinct) fees and they're transferring obviously values so everybody's doing well. It's a win-win, doesn't cost the consumer anything. So we love those strategies because, you know, whenever you can make value for people without costing them anything, that is great. The second one is the complete opposite. And again, it's an interesting example, you know, to Ben's point about how you have to work with existing solutions in some cases, or in some cases across more things to the cloud. So it's a company called Cloud Serum. It's also one we've partnered with AWS on. They basically help you save money as you use AWS. And it turns out that's important on the way in because you need to know how much it's going to cost to run what you're already doing off premises, sorry off the cloud, into the cloud. And secondly, when you move it there to optimize that spend so you don't suddenly find yourself in a situation where you can't afford to run the product or service. So simply put, you know, this is the future. We have to find ways to specifically make it easy again from the customer standpoint. The get value as quickly as possible and not to push them into anything that feels like, Oh my God, that's a big elephant of a risk that I don't obviously want to take on. >> Well, I'd like to ask the next question to Michael and Ben. This is about risk management from an enterprise perspective. And the reason Michael we just want to get you in here 'cause you do risk for living. You take risks, you venture out and put bets on horses if you will. You bet on the startups and the growing companies. So if I'm a customer and this is a thing that I'm seeing both in the public and private sector where partnerships are super critical. Especially in public right now. Public private partnerships, cybersecurity and data, huge initiatives. I saw General Keith Alexander talking about this, about his company and a variety of reliance on the private problem. No one winning formula anymore. Now as an enterprise, how do they up level their skill? How do you speak to enterprises who are watching and learning as they're taking the steps to be cloud native. They're training their people, they're trying to get their IT staff to be superpowers. They got to do all these. They got to rejuvenate, they got to innovate. So one of the things that they got to take in is new partnerships. How can an enterprise look at these 10 companies and others as partners? And how should the startups that are growing, become partners for the enterprise? Because if they can crack that code, some say that's the magical formula. Can you guys weigh in on that? (overlapping chatter) >> Look, the unfortunate starting point is that they need to have a serious commitment to wanting to change. And you're seeing a lot of that 'cause it is popping up now and they're all nodding their heads. But this needs people, it needs investment, and it needs to be super important, not just to prior, right? And some urgency. And with that behind you, you can find the right companies and start partnering to move things forward. A lot of companies don't understand their risk profile and we're still stuck in this you know, the old days of global network yet infiltrated, right? And that's sort of that its like, "Oh my God, we're done." And it's a lot more complicated now. And there needs to be a lot of education about the value of privacy and trust to our consumers. And once the executive team understands that then the investments follow. The challenge there is everyone's waiting, hoping that nothing goes wrong. When something goes wrong, oh, we better address that, right? And so how do we get ahead of that? And you need a very proactive CSO and CIO and CTO and all three if you have them really pushing this agenda and explaining what these risks are. >> Michael, your thoughts. Startups can be a great enabler for companies to change. They have their, you know, they're faster. They bring in new tech to the scenario scene. What's your analysis? >> Again, I'll use an example to speak to some of the things that Ben's talking about. Which is, let's say you decide you want to have all of your data analysis in the cloud. It turns out Amazon's got a phenomenal set of services that you can use. Do everything from ingest and then wrangle your data and get it cleaned up, and then build one of the apps to gain insight on it and use AI and ML to make that whole thing work. But even Amazon will be the first to tell you that if you have all their services, you need a team understand the development, the operations and the security, DevSecOps, it's typically what it's referred to. And most people don't have that. If you're sure and then say you're fortune 1000, you'll build that team. You'll have, you know, a hundred people doing that. But once you get below that, even in the mid tier, even in a few billion dollar companies, it's actually very hard to have those skills and keep them up to date. So companies are actually getting built that do all of that for you, that effectively, you know, make your services into a product that can be run end to end. And we've invested in one and again we partnered with Amazon on gold Kazina. They effectively make the data lake as a service. And they're effectively building on top of all the Amazon services in orchestrating and managing all that DevSecOps for you. So you don't need that team. And they do it in, you know, days or weeks, not months or years. And so I think that the point that Ben made is a really good one. Which is, you know, you've got to make it a priority and invest in it. And it doesn't just happen. It's a new set of skills, they're different. They require obviously everything from the very earliest stage of development in the cloud, all the way through to the sort of managing and running a bit. And of course maintaining it all securely and unscalable, et cetera. (overlapping chatter) >> It's interesting you bring up that Amazon's got great security. You mentioned that earlier. Mike, I wanted to bring you in because you guys it's graduating a lot of startups, graduating, it's not like they're in school or anything, but they're really, you're building on top of AWS which is already, you know, all the SOC report, all the infrastructure's there. You guys have a high bar on security. So coming out of the AWS ecosystem is not for the faint of heart. I mean, you got to kind of go through and I've heard from many startups that you know, that's a grueling process. And this is, should be good news for the enterprise. How are you guys seeing that partnership? What's the pattern recognition that we can share with enterprises adopting startups coming on the cloud? What can they expect? What are some best practices? What are the things to look for in adopting startup technologies? >> Yeah, so as you know we have a shared security model where we do the security for the physical infrastructure that we're operating, and then we try to share best practices to our partners who really own the security for their applications. Well, one of the benefits we have particularly with the AWS partner network is that, we will help vet these companies, we will review their security architecture, we'll make recommendations. We have a lot of great building blocks of services they can use to build their applications, so that they have a much better chance of really delivering a more secure total application to the enterprise customer. Now of course the enterprise customers still should be checking this and making sure that all of these products meet their needs because that is their ultimate responsibility. But by leveraging the ecosystem we have, the infrastructure we have and the strength of our partners, they can start off with a much more secure application or use case than they would if they were trying to build it from scratch. >> All right. Also, I want to get these guys out of the way in on this last question, before we jump into the wrap up. products and technologies, what is the most important thing enterprises should be focused on? It could be a list of three or four or five that they should be focused on from emerging technologies or a technology secret sauce perspective. Meaning, I'm going to leverage some new things we're going to build and do or buy from cloud scale. What are the most important product technology issues they need to be paying attention to? >> I think I'll run with that first. There's a major, major opportunity with data. We've gone through this whole cycle of creating data lakes that tended to data's forms and big data was going to solve everything. Enterprises are sitting on an amazing amount of information. And anything that can be done to, I actually get insights out of that, and I don't mean dashboards, PI tools, they're like a dime a dozen. How can we leverage AI and ML to really start getting some insights a lot quicker and a lot more value to the company from the data they owns. Anything around that, to me is a major opportunity. >> Now I'm going to go just a little bit deeper on that 'cause I would agree with all those points that Ben made. I think one of the real key points is to make sure that they're really leveraging the data that they have in kind of in place. Pulling in data from all their disparate apps, not trying to generate some new set of data, but really trying to leverage what they have so they can get live information from the disparate apps. Whether it's Salesforce or other systems they might have. I also think it's important to give users the tools to do a lot of their own analytics. So I think definitely, you know, kind of dashboards are a dime a dozen as Ben said, but the more you can do to make it really easy for users to do their own thing, so they're not relying on some central department to create some kind of report for them, but they can innovate on their own and do their own analytics of the data. I think its really critical to help companies move faster. >> Michael? >> I'll just build on that with an example because I think Ben and Mike gave two very good things, you know, data and making it self service to the users et cetera So, an example is one of our companies called Salsify, which is B2B commerce. So they're enabling brands to get their products out into the various different channels the day that people buy them on. Which by the way, an incredible number of channels have been created, whether it's, you know, Instagram at one extreme or of course you know, traditional commerce sites is another. And it's actually impossible to get all of the different capabilities of your product fully explained in the right format in each of those channels humanly. You actually have to use a computer. So that highlights the first thing I was thinking is very important is, what could you not do before that you can now do in the cloud? And you know, do in a distributed fashion. So that's a good example. The second thing is, and Mike said it very well, you know, if you can give people the data that Ben was referring to in a way that they line a business user, in this case, a brand manager, or for example the merchandiser can actually use, they'll quickly tell you, "Oh, these three channels are really not worth us spending a lot of money on. We need waste promotion on them. But look at this one, this one's really taking up. This TikTok thing is actually worth paying attention to. Why don't we enable people to buy, you know, products there?" And then focus in on it. And Salsify, by the way, is you know, I can give you stats with every different customer they've got, but they've got huge brands. The sort of Nestlés, the L'Oreals et cetera. Where they're measuring in terms of hundreds of percent of sales increase, because of using the data of Ben's point and making itself service to Mike's point. >> Awesome. Thought exercise for this little toss up question, for anyone who wants to grab it. If you had unlimited budget for R&D, and you wanted to play the long game and you wanted to take some territory down in the future. What technology and what area would you start carving out and protecting and owning or thinking about or digging into. There's a variety of great stuff out there and you know, being prepared for potentially any wildcards, what would it be? >> Well, I don't mind jumping in. That's a tough question. Whatever I did, I would start with machine learning. I think we're still just starting to see the benefits of what this can do across all of different applications. You know, if you look at what AWS has been doing, we, you know, we recently, many of our new service offerings are integrating machine learning in order to optimize automatically, to find the right solution automatically, to find errors in code automatically. And I think you're going to see more and more machine learning built into all types of line of business applications. Sales, marketing, finance, customer service. You know, you already see some of it but I think it's going to happen more and more. So if I was going to bet on one core thing, it would be that. >> I'll jump on that just because I-- >> You're VC, do you think about this as an easy one for you. >> Well, yes or no (indistinct) that I've been a VC now for too long. I was you know (indistinct) for 21 years. I could have answered that question pretty well but in the last 19 of becoming a VC, I've become ruined by just capital being put behind things. But in all seriousness, I think Mike is right. I think every single application is going to get not just reinvented completely reimagined by ML. Because there's so much of what we do that there is indeed managing the data to try to understand how to improve the business process. And when you can do that in an automated fashion and with a continuous close loop that improves it, it takes away all the drudgery and things like humans or the other extreme, you know, manufacturing. And in-between anything that goes from border to cash faster is going to be good for business. And that's going to require ML. So it's an exciting time ahead. That's where we're putting our money. >> Ben, are you going to go off the board here or you're going to stay with machine learning and dating, go wild card here. Blockchain? AR? VR? (overlapping chatter) >> Well I'd have to say ML and AI applying to privacy and trust. Privacy and trust is going to be a currency that a lot of companies need to deal with for a long time coming. And anything you can do to speed that up and honestly remove the human element, and like Michael said, there's a lot of, before there's a lot of services on AWS that are very creative. There's a lot of security built-in But it's that one S3 bucket that someone left open on the internet, that causes the breach. So how are we automating that? Like how do we take the humans out of this process? So we don't make human errors to really get some security happening. >> I think trust is an interesting one. Trust is kind of data as well. I mean, communities are, misinformation, we saw that with elections, huge. Again, that's back to data. We're back to data again. >> You know, John if I may, I'd like to add to that though. It's a good example of something that none of us can predict. Which is, what will be a fundamentally new way of doing this that we haven't really thought of? And, you know, the blockchain is effectively created a means for people to do distributed computing and also, you know, sharing of data, et cetera. Without the human being in the middle and getting rid of many of the intermediaries that we thought were necessary. So, I don't know whether it's the next blockchain or there's blockchain itself, but I have a feeling that this whole issue of trust will become very different when we have new infrastructure. >> I think I agree with everyone here. The data's key. I come back down to data whether you're telling the sovereignty misinformation, the data is there. Okay. Final, final question before we wrap up. This has been amazing on a more serious note for the enterprise folks out there and people in general and around the world. If you guys could give a color commentary answer to, what the post COVID world will look like. With respect to technology adoption, societal impact and technology for potentially good and aura for business. Now that we're coming closer to vaccines and real life again, what is the post COVID world going to look like? What do we learn from it? And how does that translate into everyday in real life benefits? >> Well, I think one of the things that we've seen is that people have realized you can do a lot of work without being in the office. You could be anywhere as long as you can access the data and make the insights from it that you need to. And so I think there's going to be an expectation on the part of users, that there'll be able to do that all the time. They'll be able to do analytics on their phone. They'll be able to do it from wherever they are. They'll be able to do it quickly and they'll be able to get access to the information that they need. And that's going to force companies to continue to be responsive to the expectations and the needs of their users, so that they can keep people productive and have happy employees. Otherwise they're going to go work somewhere else. >> Michael, any thoughts? Post COVID, what do we learn? What happens next? >> You said one key thing Mike, expectations. And I think we're going to live in a very difficult world because expectations are completely unclear. And you might think it's based on age, or you might think it's based on industry or geography, etc. The reality is people have such wildly different expectations and you know, we've tried to do surveys and to try and understand, you know, whether there are some patterns here. I think it's going to be one word, hybrid. And how we deal with hybrid is going to be a major leadership challenge. Because it's impossible to predict what people will do and how they will behave and how they want to for example, go to school or to you know, go to work or play, et cetera. And so I think the third word that I would use is flexibility. You know, we just have to be agile and flexible until we figure out, you know, how this is going to settle out, to get the best of both worlds, because there's so much that we've learned that has been to your point, really beneficial. The more productivity taking out the community. But there's also a lot of things that people really want to get back to such as social interaction, you know, connecting with their friends and living their lives. >> Ben, final word. >> So I'll just drill in on that a little bit deeper. The war on talent, if we talk about tech, if we talk a lot about data, AI, ML. That it's going to be a big differentiator for the companies that are willing to maintain a work from home and your top level resources are going to be dictating where they're working from. And they've seen our work now. And you know, if you're not flexible with how you're running your organization, you will start to lose talent. And companies are going to have to get their head around that as we move forward. >> Gentlemen, thank you very much for your time. That's a great wrap up to this cube on cloud, the AWS startup showcase. Thank you very much on behalf of Dave Vellante, myself, the entire cube team and Amazon web services. Thank you very much for closing out the keynote. Thanks for your time. >> Thank you John and thanks Amazon for a great day. >> Yeah, thank you John. >> Okay, that's a wrap for today. Amazing event. Great keynote, great commentary, 10 amazing companies out there growing, great traction. Cloud startup, cloud scale, cloud value for the enterprise. I'm John Furrier on behalf of theCUBE and Dave Vellante, thanks for watching. (bright music)

>> What does it take for an entrepreneur to develop a disruptive idea, prove that it works and bring it to market. I can think of a lot of things, but one of the most important is speed. (jet engine roars) This is Dave Vellante from theCUBE inviting you to join me and John Furrier for a special CUBE on cloud startup showcase made possible by AWS. Joining theCUBE will be Michael Lebow of McKinsey. We'll also be joined by Greylock's Jerry Chen. He's going to bring the VC perspective. CIO Ben Haynes is also going to be there to lay down his practical knowledge. We'll also have Jeff Barr of AWS and together we'll feature 10 innovative companies from the AWS Global Startup Program. So if you're a technology practitioner, you'll see some of the innovations that might help transform your business. If you're an investor, you'll get a glimpse of the future and if you're an entrepreneur, you'll see how 10 companies are rocketing toward escape velocity. So join us March, 24th at 9:00 AM Pacific for theCUBE on cloud startup showcase, Innovations with Cloud Data and Cloud Ops. We'll see you there. (upbeat music)

>> Hello everyone, welcome to the special Cube conversation. I'm John foray with Dave Volante. We're known as theCube guys. We're doing a lot of Cube events over the past year with COVID in a virtual format and we really miss being onsite and being at the events extracting the signal from the noise. Dave, we've got some big news, we're announcing our Cube On Cloud series of virtual events. We're going to do in combination to the hybrid format of theCube when it comes back to, when theCube is coming back which we look like (indistinct), we'll be implementing theCube virtual format. And so Dave, Cube On Cloud Startups is our first inaugural event coming up this month. >> Well, I'm really excited John, because of course as you well know, in the early days of Cloud, we really doubled down on our content focus. And I think if you're a customer, firmly I believe CIO, CTOs, you have to have a portion of your portfolio that is really driven toward innovation and that really comes from startups. And that's really what we're going to feature today. We're talking about startups from tens of millions to hundreds of millions of ARR. I think if you're an investor, there's some great opportunities here. If you're a technologist, you might be trying to figure out, okay, "where's the next great place that I want to work?" And I think really it's all enabled by the Cloud and the Cloud is changing John, right? It's evolving from what was just core infrastructure storage servers, networking to really now driving transformative business value. And that's what this event is going to be all about. >> And what's exciting Dave, I want to share with the folks out there, you see theCube. you've seen us on all the channels, Twitter, Facebook, LinkedIn, all over the internet. Now with the virtual, we going to bring that together. And every quarter we're going to do a quarterly startup hot Cuban Cloud Startup event every quarter, four times a year. So, join us, we want to be part of our community. Be part of the conversation, theCube 365 virtual format is interactive, it's engaging. It's our own clubhouse, it's our own place to engage with you. If you want to engage with us, this is the time to do it. Or if you want to sit back and consume some of the great content, do that. Our first event on the 24th is with aWS and their sponsored showcase startups. We're going to be featuring 10 of the hottest Cloud startups obviously all around data and machine learning. And we're going to feature those 10, we're going to introduce the world to them, unpack them, talk to the founders and this top management of teams and understand their secret sauce, their competitive advantage and how they're going to be successful in the enterprise in Cloud. But we've also got a great keynote program to kick it off. We're going to have Jeff Barr who's legendary in the developer and Cloud community. He's with aWS. He does a lot of their developer. He writes all the blog posts announcing all the great products at aWS. If you're in the Cloud, visit, you know who Jeff Barr is. He's a legend. We got Jerry chin, Cube alumni. He's a partner at Greylock, tier one venture capital firm, and Michael Liebow who's a partner at McKinsey. And McKinsey is talking to all the C-suites Dave, they're the ones setting the table. And just recently came out with a Cloud report called, "Trillion Dollar Market Opportunity." Of course, we wrote Trillion Dollar Baby Cloud Ambition for Andy Jassy in 2015. We're going to tie that together. And of course, when you come to the event and join us, you get a free copy of that report. So, Dave-- >> And Don't forget Ben Haynes. He's going to bring the practitioner perspective which we're really excited about. And I'm glad you made that shout out to the Cube community because as you know, it's not just coming to the event and doing some chat. Do that, lay down your knowledge because the next show we're going to have you on live interview, you that's what we're all about. Bringing our community together, bringing you in and interacting with you, not just on chat or email or whatever but actually making you part of the program. >> Yeah, it's not a webinar Dave, these aren't webinars, webinars are old they're dying. Webinars are great for sales tools. You do those every day if you're a sales person or a company. This is different. We're talking about making it an immersive and interactive, engaging, virtually. This is going to be a great compliment. Certainly when the events come back and we're looking forward to it. I can't tell you Dave how many times people want to chat with me on Twitter, I'm not available, time zone around the world. Now, you can come to our events and engage directly with us and consume, but also we'll call you up. We're going to have sessions, maybe have some Ad hoc femoral conversations, set up your own little clubhouse with us and share your knowledge on the Cube. The Cube going virtual. Virtualization Dave, as we were joking during the pandemic is one of the upsides for what happened this year. And I got to say, I'm really, really excited because this brings a new format for us to bring to people. So, I'm really looking forward to it. >> Yeah, me too, John. So give us the details. Date, time, we've got a, I think we've got a screenshot but we'll pull that up and show people. So, there's a site. What's the dates again, John? >> This is on going to happen on March 24th, >> 9: 00 AM Pacific to 1:00 PM, it's a morning program. Again, it's a featured conference with the hot stars. We're going to feature, We're going to do a keynote session and then we're going to have the breakouts with all the startups. So, it can jump into the rooms find the startups you like and talk to them. And then a closing fireside chat with Ben Haynes who's a practitioner, CIO Perspectives, CXL Perspective as well as executives in the industry. So, we're going to wrap that up at the end of the day. So, great program. Good keynote on what ways are happening? What's the top trends and then ending fireside chats. Should be a great day, very cool. And of course it's virtual. So, you can do a fly by, you can come hang out with us and also come back. it's always going to be on 24/7, 365. So, that is the Cube On Cloud startups, March 24th. Join us and join our community, thank you.