hi everybody welcome back to re invent 2022. this is thecube's exclusive coverage we're here at the satellite set it's up on the fifth floor of the Venetian Conference Center and this is part of the global startup program the AWS startup showcase series that we've been running all through last year and and into this year with AWS and featuring some of its its Global Partners Ed wallson series the CEO of chaos search many times Cube Alum and Kevin Miller there's also a cube Alum vice president GM of S3 at AWS guys good to see you again yeah great to see you Dave hi Kevin this is we call this our Super Bowl so this must be like your I don't know uh World Cup it's a pretty big event yeah it's the World Cup for sure yeah so a lot of S3 talk you know I mean that's what got us all started in 2006 so absolutely what's new in S3 yeah it's been a great show we've had a number of really interesting launches over the last few weeks and a few at the show as well so you know we've been really focused on helping customers that are running Mass scale data Lakes including you know whether it's structured or unstructured data we actually announced just a few just an hour ago I think it was a new capability to give customers cross-account access points for sharing data securely with other parts of the organization and that's something that we'd heard from customers is as they are growing and have more data sets and they're looking to to get more out of their data they are increasingly looking to enable multiple teams across their businesses to access those data sets securely and that's what we provide with cross-count access points we also launched yesterday our multi-region access point failover capabilities and so again this is where customers have data sets and they're using multiple regions for certain critical workloads they're now able to to use that to fail to control the failover between different regions in AWS and then one other launch I would just highlight is some improvements we made to storage lens which is our really a very novel and you need capability to help customers really understand what storage they have where who's accessing it when it's being accessed and we added a bunch of new metrics storage lens has been pretty exciting for a lot of customers in fact we looked at the data and saw that customers who have adopted storage lens typically within six months they saved more than six times what they had invested in turning storage lens on and certainly in this environment right now we have a lot of customers who are it's pretty top of mind they're looking for ways to optimize their their costs in the cloud and take some of those savings and be able to reinvest them in new innovation so pretty exciting with the storage lens launch I think what's interesting about S3 is that you know pre-cloud Object Store was this kind of a niche right and then of course you guys announced you know S3 in 2006 as I said and okay great you know cheap and deep storage simple get put now the conversations about how to enable value from from data absolutely analytics and it's just a whole new world and Ed you've talked many times I love the term yeah we built chaos search on the on the shoulders of giants right and so the under underlying that is S3 but the value that you can build on top of that has been key and I don't think we've talked about his shoulders and Giants but we've talked about how we literally you know we have a big Vision right so hard to kind of solve the challenge to analytics at scale we really focus on the you know the you know Big Data coming environment get analytics so we talk about the on the shoulders Giants obviously Isaac Newton's you know metaphor of I learned from everything before and we layer on top so really when you talk about all the things come from S3 like I just smile because like we picked it up naturally we went all in an S3 and this is where I think you're going Dave but everyone is so let's just cut the chase like so any of the data platforms you're using S3 is what you're building but we did it a little bit differently so at first people using a cold storage like you said and then they ETL it up into a different platforms for analytics of different sorts now people are using it closer they're doing caching layers and cashing out and they're that's where but that's where the attributes of a scale or reliability are what we did is we actually make S3 a database so literally we have no persistence outside that three and that kind of comes in so it's working really well with clients because most of the thing is we pick up all these attributes of scale reliability and it shows up in the clients environments and so when you launch all these new scalable things we just see it like our clients constantly comment like one of our biggest customers fintech in uh Europe they go to Black Friday again black Friday's not one days and they lose scale from what is it 58 terabytes a day and they're going up to 187 terabytes a day and we don't Flinch they say how do you do that well we built our platform on S3 as long as you can stream it to S3 so they're saying I can't overrun S3 and it's a natural play so it's it's really nice that but we take out those attributes but same thing that's why we're able to you know help clients get you know really you know Equifax is a good example maybe they're able to consolidate 12 their divisions on one platform we couldn't have done that without the scale and the performance of what you can get S3 but also they saved 90 I'm able to do that but that's really because the only persistence is S3 and what you guys are delivering but and then we really for focus on shoulders Giants we're doing on top of that innovating on top of your platforms and bringing that out so things like you know we have a unique data representation that makes it easy to ingest this data because it's kind of coming at you four v's of big data we allow you to do that make it performant on s3h so now you're doing hot analytics on S3 as if it's just a native database in memory but there's no memory SSC caching and then multi-model once you get it there don't move it leverage it in place so you know elasticsearch access you know Cabana grafana access or SQL access with your tools so we're seeing that constantly but we always talk about on the shoulders of giants but even this week I get comments from our customers like how did you do that and most of it is because we built on top of what you guys provided so it's really working out pretty well and you know we talk a lot about digital transformation of course we had the pleasure sitting down with Adam solipski prior John Furrier flew to Seattle sits down his annual one-on-one with the AWS CEO which is kind of cool yeah it was it's good it's like study for the test you know and uh and so but but one of the interesting things he said was you know we're one of our challenges going forward is is how do we go Beyond digital transformation into business transformation like okay well that's that's interesting I was talking to a customer today AWS customer and obviously others because they're 100 year old company and they're basically their business was they call them like the Uber for for servicing appliances when your Appliance breaks you got to get a person to serve it a service if it's out of warranty you know these guys do that so they got to basically have a you know a network of technicians yeah and they gotta deal with the customers no phone right so they had a completely you know that was a business transformation right they're becoming you know everybody says they're coming a software company but they're building it of course yeah right on the cloud so wonder if you guys could each talk about what's what you're seeing in terms of changing not only in the sort of I.T and the digital transformation but also the business transformation yeah I know I I 100 agree that I think business transformation is probably that one of the top themes I'm hearing from customers of all sizes right now even in this environment I think customers are looking for what can I do to drive top line or you know improve bottom line or just improve my customer experience and really you know sort of have that effect where I'm helping customers get more done and you know it is it is very tricky because to do that successfully the customers that are doing that successfully I think are really getting into the lines of businesses and figuring out you know it's probably a different skill set possibly a different culture different norms and practices and process and so it's it's a lot more than just a like you said a lot more than just the technology involved but when it you know we sort of liquidate it down into the data that's where absolutely we see that as a critical function for lines of businesses to become more comfortable first off knowing what data sets they have what data they they could access but possibly aren't today and then starting to tap into those data sources and then as as that progresses figuring out how to share and collaborate with data sets across a company to you know to correlate across those data sets and and drive more insights and then as all that's being done of course it's important to measure the results and be able to really see is this what what effect is this having and proving that effect and certainly I've seen plenty of customers be able to show you know this is a percentage increase in top or bottom line and uh so that pattern is playing out a lot and actually a lot of how we think about where we're going with S3 is related to how do we make it easier for customers to to do everything that I just described to have to understand what data they have to make it accessible and you know it's great to have such a great ecosystem of partners that are then building on top of that and innovating to help customers connect really directly with the businesses that they're running and driving those insights well and customers are hours today one of the things I loved that Adam said he said where Amazon is strategically very very patient but tactically we're really impatient and the customers out there like how are you going to help me increase Revenue how are you going to help me cut costs you know we were talking about how off off camera how you know software can actually help do that yeah it's deflationary I love the quote right so software's deflationary as costs come up how do you go drive it also free up the team and you nail it it's like okay everyone wants to save money but they're not putting off these projects in fact the digital transformation or the business it's actually moving forward but they're getting a little bit bigger but everyone's looking for creative ways to look at their architecture and it becomes larger larger we talked about a couple of those examples but like even like uh things like observability they want to give this tool set this data to all the developers all their sres same data to all the security team and then to do that they need to find a way an architect should do that scale and save money simultaneously so we see constantly people who are pairing us up with some of these larger firms like uh or like keep your data dog keep your Splunk use us to reduce the cost that one and one is actually cheaper than what you have but then they use it either to save money we're saving 50 to 80 hard dollars but more importantly to free up your team from the toil and then they they turn around and make that budget neutral and then allowed to get the same tools to more people across the org because they're sometimes constrained of getting the access to everyone explain that a little bit more let's say I got a Splunk or data dog I'm sifting through you know logs how exactly do you help so it's pretty simple I'll use dad dog example so let's say using data dog preservability so it's just your developers your sres managing environments all these platforms are really good at being a monitoring alerting type of tool what they're not necessarily great at is keeping the data for longer periods like the log data the bigger data that's where we're strong what you see is like a data dog let's say you're using it for a minister for to keep 30 days of logs which is not enough like let's say you're running environment you're finding that performance issue you kind of want to look to last quarter in last month in or maybe last Black Friday so 30 days is not enough but will charge you two eighty two dollars and eighty cents a gigabyte don't focus on just 280 and then if you just turn the knob and keep seven days but keep two years of data on us which is on S3 it goes down to 22 cents plus our list price of 80 cents goes to a dollar two compared to 280. so here's the thing what they're able to do is just turn a knob get more data we do an integration so you can go right from data dog or grafana directly into our platform so the user doesn't see it but they save money A lot of times they don't just save the money now they use that to go fund and get data dog to a lot more people make sense so it's a creativity they're looking at it and they're looking at tools we see the same thing with a grafana if you look at the whole grafana play which is hey you can't put it in one place but put Prometheus for metrics or traces we fit well with logs but they're using that to bring down their costs because a lot of this data just really bogs down these applications the alerting monitoring are good at small data they're not good at the big data which is what we're really good at and then the one and one is actually less than you paid for the one so it and it works pretty well so things are really unpredictable right now in the economy you know during the pandemic we've sort of lockdown and then the stock market went crazy we're like okay it's going to end it's going to end and then it looked like it was going to end and then it you know but last year it reinvented just just in that sweet spot before Omicron so we we tucked it in which which was awesome right it was a great great event we really really missed one physical reinvent you know which was very rare so that's cool but I've called it the slingshot economy it feels like you know you're driving down the highway and you got to hit the brakes and then all of a sudden you're going okay we're through it Oh no you're gonna hit the brakes again yeah so it's very very hard to predict and I was listening to jassy this morning he was talking about yeah consumers they're still spending but what they're doing is they're they're shopping for more features they might be you know buying a TV that's less expensive you know more value for the money so okay so hopefully the consumer spending will get us out of this but you don't really know you know and I don't yeah you know we don't seem to have the algorithms we've never been through something like this before so what are you guys seeing in terms of customer Behavior given that uncertainty well one thing I would highlight that I think particularly going back to what we were just talking about as far as business and digital transformation I think some customers are still appreciating the fact that where you know yesterday you may have had to to buy some Capital put out some capital and commit to something for a large upfront expenditure is that you know today the value of being able to experiment and scale up and then most importantly scale down and dynamically based on is the experiment working out am I seeing real value from it and doing that on a time scale of a day or a week or a few months that is so important right now because again it gets to I am looking for a ways to innovate and to drive Top Line growth but I I can't commit to a multi-year sort of uh set of costs to to do that so and I think plenty of customers are finding that even a few months of experimentation gives them some really valuable insight as far as is this going to be successful or not and so I think that again just of course with S3 and storage from day one we've been elastic pay for what you use if you're not using the storage you don't get charged for it and I think that particularly right now having the applications and the rest of the ecosystem around the storage and the data be able to scale up and scale down is is just ever more important and when people see that like typically they're looking to do more with it so if they find you usually find these little Department projects but they see a way to actually move faster and save money I think it is a mix of those two they're looking to expand it which can be a nightmare for sales Cycles because they take longer but people are looking well why don't you leverage this and go across division so we do see people trying to leverage it because they're still I don't think digital transformation is slowing down but a lot more to be honest a lot more approvals at this point for everything it is you know Adam and another great quote in his in his keynote he said if you want to save money the Cloud's a place to do it absolutely and I read an article recently and I was looking through and I said this is the first time you know AWS has ever seen a downturn because the cloud was too early back then I'm like you weren't paying attention in 2008 because that was the first major inflection point for cloud adoption where CFO said okay stop the capex we're going to Opex and you saw the cloud take off and then 2010 started this you know amazing cycle that we really haven't seen anything like it where they were doubling down in Investments and they were real hardcore investment it wasn't like 1998 99 was all just going out the door for no clear reason yeah so that Foundation is now in place and I think it makes a lot of sense and it could be here for for a while where people are saying Hey I want to optimize and I'm going to do that on the cloud yeah no I mean I've obviously I certainly agree with Adam's quote I think really that's been in aws's DNA from from day one right is that ability to scale costs with with the actual consumption and paying for what you use and I think that you know certainly moments like now are ones that can really motivate change in an organization in a way that might not have been as palatable when it just it didn't feel like it was as necessary yeah all right we got to go give you a last word uh I think it's been a great event I love all your announcements I think this is wonderful uh it's been a great show I love uh in fact how many people are here at reinvent north of 50 000. yeah I mean I feel like it was it's as big if not bigger than 2019. people have said ah 2019 was a record when you count out all the professors I don't know it feels it feels as big if not bigger so there's great energy yeah it's quite amazing and uh and we're thrilled to be part of it guys thanks for coming on thecube again really appreciate it face to face all right thank you for watching this is Dave vellante for the cube your leader in Enterprise and emerging Tech coverage we'll be right back foreign

(upbeat music) >> Good morning everybody. Welcome back to Las Vegas. This is day four of theCUBE's wall-to-wall coverage of our Super Bowl, aka AWS re:Invent 2022. I'm here with my co-host, Paul Gillin. My name is Dave Vellante. Sanjay Poonen is in the house, CEO and president of Cohesity. He's sitting in as our guest market watcher, market analyst, you know, deep expertise, new to the job at Cohesity. He was kind enough to sit in, and help us break down what's happening at re:Invent. But Paul, first thing, this morning we heard from Werner Vogels. He was basically given a masterclass on system design. It reminded me of mainframes years ago. When we used to, you know, bury through those IBM blue books and red books. You remember those Sanjay? That's how we- learned back then. >> Oh God, I remember those, Yeah. >> But it made me think, wow, now you know IBM's more of a systems design, nobody talks about IBM anymore. Everybody talks about Amazon. So you wonder, 20 years from now, you know what it's going to be. But >> Well- >> Werner's amazing. >> He pulled out a 24 year old document. >> Yup. >> That he had written early in Amazon's evolution about synchronous design or about essentially distributed architectures that turned out to be prophetic. >> His big thing was nature is asynchronous. So systems are asynchronous. Synchronous is an illusion. It's an abstraction. It's kind of interesting. But, you know- >> Yeah, I mean I've had synonyms for things. Timeless architecture. Werner's an absolute legend. I mean, when you think about folks who've had, you know, impact on technology, you think of people like Jony Ive in design. >> Dave: Yeah. >> You got to think about people like Werner in architecture and just the fact that Andy and the team have been able to keep him engaged that long... I pay attention to his keynote. Peter DeSantis has obviously been very, very influential. And then of course, you know, Adam did a good job, you know, watching from, you know, having watched since I was at the first AWS re:Invent conference, at time was President SAP and there was only a thousand people at this event, okay? Andy had me on stage. I think I was one of the first guest of any tech company in 2011. And to see now this become like, it's a mecca. It's a mother of all IT events, and watch sort of even the transition from Andy to Adam is very special. I got to catch some of Ruba's keynote. So while there's some new people in the mix here, this has become a force of nature. And the last time I was here was 2019, before Covid, watched the last two ones online. But it feels like, I don't know 'about what you guys think, it feels like it's back to 2019 levels. >> I was here in 2019. I feel like this was bigger than 2019 but some people have said that it's about the same. >> I think it was 60,000 versus 50,000. >> Yes. So close. >> It was a little bigger in 2019. But it feels like it's more active. >> And then last year, Sanjay, you weren't here but it was 25,000, which was amazing 'cause it was right in that little space between Omicron, before Omicron hit. But you know, let me ask you a question and this is really more of a question about Amazon's maturity and I know you've been following them since early days. But the way I get the question, number one question I get from people is how is Amazon AWS going to be different under Adam than it was under Andy? What do you think? >> I mean, Adam's not new because he was here before. In some senses he knows the Amazon culture from prior, when he was running sales and marketing prior. But then he took the time off and came back. I mean, this will always be, I think, somewhat Andy's baby, right? Because he was the... I, you know, sent him a text, "You should be really proud of what you accomplished", but you know, I think he also, I asked him when I saw him a few weeks ago "Are you going to come to re:Invent?" And he says, "No, I want to leave this to be Adam's show." And Adam's going to have a slightly different view. His keynotes are probably half the time. It's a little bit more vision. There was a lot more customer stories at the beginning of it. Taking you back to the inspirational pieces of it. I think you're going to see them probably pulling up the stack and not just focused in infrastructure. Many of their platform services are evolved. Many of their, even application services. I'm surprised when I talk to customers. Like Amazon Connect, their sort of call center type technologies, an app layer. It's getting a lot. I mean, I've talked to a couple of Fortune 500 companies that are moving off Ayer to Connect. I mean, it's happening and I did not know that. So it's, you know, I think as they move up the stack, the platform's gotten more... The data centric stack has gotten, and you know, in the area we're working with Cohesity, security, data protection, they're an investor in our company. So this is an important, you know, both... I think tech player and a partner for many companies like us. >> I wonder the, you know, the marketplace... there's been a big push on the marketplace by all the cloud companies last couple of years. Do you see that disrupting the way softwares, enterprise software is sold? >> Oh, for sure. I mean, you have to be a ostrich with your head in the sand to not see this wave happening. I mean, what's it? $150 billion worth of revenue. Even though the growth rates dipped a little bit the last quarter or so, it's still aggregatively between Amazon and Azure and Google, you know, 30% growth. And I think we're still in the second or third inning off a grand 1 trillion or 2 trillion of IT, shifting not all of it to the cloud, but significantly faster. So if you add up all of the big things of the on-premise world, they're, you know, they got to a certain size, their growth is stable, but stalling. These guys are growing significantly faster. And then if you add on top of them, platform companies the data companies, Snowflake, MongoDB, Databricks, you know, Datadog, and then apps companies on top of that. I think the move to the Cloud is inevitable. In SaaS companies, I don't know why you would ever implement a CRM solution on-prem. It's all gone to the Cloud. >> Oh, it is. >> That happened 15 years ago. I mean, begin within three, five years of the advent of Salesforce. And the same thing in HR. Why would you deploy a HR solution now? You've got Workday, you've got, you know, others that are so some of those apps markets are are just never coming back to an on-prem capability. >> Sanjay, I want to ask you, you built a reputation for being able to, you know, forecast accurately, hit your plan, you know, you hit your numbers, you're awesome operator. Even though you have a, you know, technology degree, which you know, that's a two-tool star, multi-tool star. But I call it the slingshot economy. This is like, I mean I've seen probably more downturns than anybody in here, you know, given... Well maybe, maybe- >> Maybe me. >> You and I both. I've never seen anything like this, where where visibility is so unpredictable. The economy is sling-shotting. It's like, oh, hurry up, go Covid, go, go go build, build, build supply, then pull back. And now going forward, now pulling back. Slootman said, you know, on the call, "Hey the guide, is the guide." He said, "we put it out there, We do our best to hit it." But you had CrowdStrike had issues you know, mid-market, ServiceNow. I saw McDermott on the other day on the, on the TV. I just want to pay, you know, buy from the guy. He's so (indistinct) >> But mixed, mixed results, Salesforce, you know, Octa now pre-announcing, hey, they're going to be, or announcing, you know, better visibility, forward guide. Elastic kind of got hit really hard. HPE and Dell actually doing really well in the enterprise. >> Yep. >> 'Course Dell getting killed in the client. But so what are you seeing out there? How, as an executive, do you deal with such poor visibility? >> I think, listen, what the last two or three years have taught us is, you know, with the supply chain crisis, with the surge that people thought you may need of, you know, spending potentially in the pandemic, you have to start off with your tech platform being 10 x better than everybody else. And differentiate, differentiate. 'Cause in a crowded market, but even in a market that's getting tougher, if you're not differentiating constantly through technology innovation, you're going to get left behind. So you named a few places, they're all technology innovators, but even if some of them are having challenges, and then I think you're constantly asking yourselves, how do you move from being a point product to a platform with more and more services where you're getting, you know, many of them moving really fast. In the case of Roe, I like him a lot. He's probably one of the most savvy operators, also that I respect. He calls these speedboats, and you know, his core platform started off with the firewall network security. But he's built now a very credible cloud security, cloud AI security business. And I think that's how you need to be thinking as a tech executive. I mean, if you got core, your core beachhead 10 x better than everybody else. And as you move to adjacencies in these new platforms, have you got now speedboats that are getting to a point where they are competitive advantage? Then as you think of the go-to-market perspective, it really depends on where you are as a company. For a company like our size, we need partners a lot more. Because if we're going to, you know, stand on the shoulders of giants like Isaac Newton said, "I see clearly because I stand on the shoulders giants." I need to really go and cultivate Amazon so they become our lead partner in cloud. And then appropriately Microsoft and Google where I need to. And security. Part of what we announced last week was, last month, yeah, last couple of weeks ago, was the data security alliance with the biggest security players. What was I trying to do with that? First time ever done in my industry was get Palo Alto, CrowdStrike, Wallace, Tenable, CyberArk, Splunk, all to build an alliance with me so I could stand on their shoulders with them helping me. If you're a bigger company, you're constantly asking yourself "how do you make sure you're getting your, like Amazon, their top hundred customers spending more with that?" So I think the the playbook evolves, and I'm watching some of these best companies through this time navigate through this. And I think leadership is going to be tested in enormously interesting ways. >> I'll say. I mean, Snowflake is really interesting because they... 67% growth, which is, I mean, that's best in class for a company that's $2 billion. And, but their guide was still, you know, pretty aggressive. You know, so it's like, do you, you know, when it when it's good times you go, "hey, we can we can guide conservatively and know we can beat it." But when you're not certain, you can't dial down too far 'cause your investors start to bail on you. It's a really tricky- >> But Dave, I think listen, at the end of the day, I mean every CEO should not be worried about the short term up and down in the stock price. You're building a long-term multi-billion dollar company. In the case of Frank, he has, I think I shot to a $10 billion, you know, analytics data warehousing data management company on the back of that platform, because he's eyeing the market that, not just Teradata occupies today, but now Oracle occupies or other databases, right? So his tam as it grows bigger, you're going to have some of these things, but that market's big. I think same with Palo Alto. I mean Datadog's another company, 75% growth. >> Yeah. >> At 20% margins, like almost rule of 95. >> Amazing. >> When they're going after, not just the observability market, they're eating up the sim market, security analytics, the APM market. So I think, you know, that's, you look at these case studies of companies who are going from point product to platforms and are steadily able to grow into new tams. You know, to me that's very inspiring. >> I get it. >> Sanjay: That's what I seek to do at our com. >> I get that it's a marathon, but you know, when you're at VMware, weren't you looking at the stock price every day just out of curiosity? I mean listen, you weren't micromanaging it. >> You do, but at the end of the day, and you certainly look at the days of earnings and so on so forth. >> Yeah. >> Because you want to create shareholder value. >> Yeah. >> I'm not saying that you should not but I think in obsession with that, you know, in a short term, >> Going to kill ya. >> Makes you, you know, sort of myopically focused on what may not be the right thing in the long term. Now in the long arc of time, if you're not creating shareholder value... Look at what happened to Steve Bomber. You needed Satya to come in to change things and he's created a lot of value. >> Dave: Yeah, big time. >> But I think in the short term, my comments were really on the quarter to quarter, but over a four a 12 quarter, if companies are growing and creating profitable growth, they're going to get the valuation they deserve. >> Dave: Yeah. >> Do you the... I want to ask you about something Arvind Krishna said in the previous IBM earnings call, that IT is deflationary and therefore it is resistant to the macroeconomic headwinds. So IT spending should actually thrive in a deflation, in a adverse economic climate. Do you think that's true? >> Not all forms of IT. I pay very close attention to surveys from, whether it's the industry analysts or the Morgan Stanleys, or Goldman Sachs. The financial analysts. And I think there's a gluc in certain sectors that will get pulled back. Traditional view is when the economies are growing people spend on the top line, front office stuff, sales, marketing. If you go and look at just the cloud 100 companies, which are the hottest private companies, and maybe with the public market companies, there's way too many companies focused on sales and marketing. Way too many. I think during a downsizing and recession, that's going to probably shrink some, because they were all built for the 2009 to 2021 era, where it was all about the top line. Okay, maybe there's now a proposition for companies who are focused on cost optimization, supply chain visibility. Security's been intangible, that I think is going to continue to an investment. So I tell, listen, if you are a tech investor or if you're an operator, pay attention to CIO priorities. And right now, in our business at Cohesity, part of the reason we've embraced things like ransomware protection, there is a big focus on security. And you know, by intelligently being a management and a security company around data, I do believe we'll continue to be extremely relevant to CIO budgets. There's a ransomware, 20 ransomware attempts every second. So things of that kind make you relevant in a bank. You have to stay relevant to a buying pattern or else you lose momentum. >> But I think what's happening now is actually IT spending's pretty good. I mean, I track this stuff pretty closely. It's just that expectations were so high and now you're seeing earnings estimates come down and so, okay, and then you, yeah, you've got the, you know the inflationary factors and your discounted cash flows but the market's actually pretty good. >> Yeah. >> You know, relative to other downturns that if this is not a... We're not actually not in a downturn. >> Yeah. >> Not yet anyway. It may be. >> There's a valuation there. >> You have to prepare. >> Not sales. >> Yeah, that's right. >> When I was on CNBC, I said "listen, it's a little bit like that story of Joseph. Seven years of feast, seven years of famine." You have to prepare for potentially your worst. And if it's not the worst, you're in good shape. So will it be a recession 2023? Maybe. You know, high interest rates, inflation, war in Russia, Ukraine, maybe things do get bad. But if you belt tightening, if you're focused in operational excellence, if it's not a recession, you're pleasantly surprised. If it is one, you're prepared for it. >> All right. I'm going to put you in the spot and ask you for predictions. Expert analysis on the World Cup. What do you think? Give us the breakdown. (group laughs) >> As my... I wish India was in the World Cup, but you can't get enough Indians at all to play soccer well enough, but we're not, >> You play cricket, though. >> I'm a US man first. I would love to see one of Brazil, or Argentina. And as a Messi person, I don't know if you'll get that, but it would be really special for Messi to lead, to end his career like Maradonna winning a World Cup. I don't know if that'll happen. I'm probably going to go one of the Latin American countries, if the US doesn't make it far enough. But first loyalty to the US team, and then after one of the Latin American countries. >> And you think one of the Latin American countries is best bet to win or? >> I don't know. It's hard to tell. They're all... What happens now at this stage >> So close, right? >> is anybody could win. >> Yeah. You just have lots of shots of gold. I'm a big soccer fan. It could, I mean, I don't know if the US is favored to win, but if they get far enough, you get to the finals, anybody could win. >> I think they get Netherlands next, right? >> That's tough. >> Really tough. >> But... The European teams are good too, but I would like to see US go far enough, and then I'd like to see Latin America with team one of Argentina, or Brazil. That's my prediction. >> I know you're a big Cricket fan. Are you able to follow Cricket the way you like? >> At god unearthly times the night because they're in Australia, right? >> Oh yeah. >> Yeah. >> I watched the T-20 World Cup, select games of it. Yeah, you know, I'm not rapidly following every single game but the World Cup games, I catch you. >> Yeah, it's good. >> It's good. I mean, I love every sport. American football, soccer. >> That's great. >> You get into basketball now, I mean, I hope the Warriors come back strong. Hey, how about the Warriors Celtics? What do we think? We do it again? >> Well- >> This year. >> I'll tell you what- >> As a Boston Celtics- >> I would love that. I actually still, I have to pay off some folks from Palo Alto office with some bets still. We are seeing unprecedented NBA performance this year. >> Yeah. >> It's amazing. You look at the stats, it's like nothing. I know it's early. Like nothing we've ever seen before. So it's exciting. >> Well, always a pleasure talking to you guys. >> Great to have you on. >> Thanks for having me. >> Thank you. Love the expert analysis. >> Sanjay Poonen. Dave Vellante. Keep it right there. re:Invent 2022, day four. We're winding up in Las Vegas. We'll be right back. You're watching theCUBE, the leader in enterprise and emerging tech coverage. (lighthearted soft music)

>>Hi, Lisa Martin here with the cube. You're watching our coverage of Dell technologies world. The digital virtual experience. I've got two guests with me here today. We're going to be talking about the university of Piza and how it is leaning into all flash data lakes powered by Dell technologies. One of our alumni is back MERITO, Debbie, and the CTO of the university of PISA. Maricio welcome back to the cube. Thank you. Very excited to talk to you today. CAUTI Gosha is here as well. The director of product management at Dell technologies. Kaushik. Welcome to the cube. Thank you. So here we are at this virtual event again, Maricio you were last on the cube at VMworld a few months ago, the virtual experience as well, but talk to her audience a little bit before we dig into the technology and some of these demanding workloads that the university is utilizing. Talk to me a little bit about your role as CTO and about the university. >>So my role as CTO at university of PISA is, uh, uh, regarding the, uh, data center operations and, uh, scientific computing support for these, the main, uh, occupation that, uh, that, uh, yeah. Then they support the world, saw the technological choices that university of PISA is, uh, is doing, uh, during the latest, uh, two or three years. >>Talk to me about some, so this is a, in terms of students we're talking about 50,000 or so students 3000 faculty and the campus is distributed around the town of PISA, is that correct? Maricio >>Uh, the university of PISA is sort of a, uh, town campus in the sense that we have 20 departments that are, uh, located inside the immediate eval town, uh, but due to the choices, but university of peace, I S uh, the, uh, last, uh, uh, nineties, uh, we are, uh, owner of, uh, of a private fiber network connecting all our, uh, departments and allow the templates. And so we can use the town as a sort of white board to design, uh, uh, new services, a new kind of support for teaching. Uh, and, uh, and so, >>So you've really modernized the data infrastructure for the university that was founded in the middle ages. Talk to me now about some of the workloads and that are generating massive amounts of data, and then we'll get into what you're doing with Dell technologies. >>Oh, so the university of PISA as a, uh, quite old on HPC, traditional HPC. So we S we are supporting, uh, uh, the traditional workloads from, uh, um, CAE or engineering or chemistry or oil and gas simulations. Uh, of course it during, uh, uh, the pandemic year, last year, especially, uh, we have new, uh, kind of work you'll scan, uh, summer related, uh, to the, uh, fast movement of the HPC workload from let's say, traditional HPC to AI and machine learning. And those are the, um, request that you support a lot of remote activities coming from, uh, uh, uh, distance learning, uh, to remote ties, uh, uh, laboratories or stations or whatever, most elder in presence in the past. And so the impact either on the infrastructure or, and the specialty and the storage part was a significant. >>So you talked about utilizing the high performance computing environments for awhile and for scientific computing and things. I saw a case study that you guys have done with Dell, but then during the pandemic, the challenge and the use case of remote learning brought additional challenges to your environment from that perspective, how, how were you able to transfer your curriculum to online and enable the scientists, the physicists that oil and gas folks doing research to still access that data at the speed that they needed to, >>Uh, you know, for what you got, uh, uh, uh, distance learning? Of course. So we were, uh, based on the cloud services were not provided internally by Yas. So we lie, we based on Microsoft services, so Google services and so on, but what regards, uh, internal support, uh, scientific computing was completely, uh, remote dies either on support or experience, uh, because, uh, I can, uh, I, can I, uh, bring some, uh, some examples, uh, for example, um, laboratory activities, uh, we are, the access to the laboratories, uh, was the of them, uh, as much as possible. Uh, we design a special networker to connect all the and to give the researcher the possibility of accessing the data on visit special network. So as sort of a collector of data, uh, inside our, our university network, uh, you can imagine that the, uh, for example, was, was a key factor for us because utilization was, uh, uh, for us, uh, and flexible way to deliver new services, uh, in an easy way, uh, especially if you have to, uh, have systems for remote. So, as, as I told you before about the, uh, network, as well as a white board, but also the computer infrastructure, it was VM-ware visualization and treated as a, as a sort of what we were designing with services either, either for interactive services or especially for, uh, scientific computing. For example, we have an experience with it and a good polarization of HPC workload. We start agents >>Talk to me about the storage impact, because as we know, we talk about, you know, these very demanding, unstructured workloads, AI machine learning, and that can be, those are difficult for most storage systems to handle the radio. Talk to us about why you leaned into all flash with Dell technologies and talk to us a little bit about the technologies that you've implemented. >>So, uh, if I, if I have to think about our, our storage infrastructure before the pandemic, I have to think about Iceland because our HPC workloads Moss, uh, mainly based off, uh, Isilon, uh, as a storage infrastructure, uh, together with some, uh, final defense system, as you can imagine, we were deploying in-house, uh, duty independently, especially with the explosion of the AI, with them, uh, blueprint of the storage requests change the law because of what we have, uh, uh, deal dens. And in our case, it was an, I breathed the Isilon solution didn't fit so well for HB for AI. And this is why we, uh, start with the data migration. That was, it was not really migration, but the sort of integration of the power scaler or flash machine inside our, uh, environment, because then the power scale, all flesh and especially, uh, IO in the future, uh, the MVME support, uh, is a key factor for the storage. It just support, uh, we already have experience as some of the, uh, NBME, uh, possibilities, uh, on the power PowerMax so that we have here, uh, that we use part for VDI support, uh, but off, um, or fleshly is the minimum land and EME, uh, is what we need to. >>Gotcha. Talk to me about what Dell technologies has seen the uptick in the demand for this, uh, as Maricio said, they were using Isilon before adding in power scale. What are some of the changing demands that, that Dell technologies has seen and how does technologies like how our scale and the F 900 facilitate these organizations being able to rapidly change their environment so that they can utilize and extract the value from data? >>Yeah, no, absolutely. What occupational intelligence is an area that, uh, continues to amaze me. And, uh, personally I think the, the potential here is immense. Um, uh, as Maurizio said, right, um, the, the data sets, uh, with artificial intelligence, I have, uh, grown significantly and, and not only the data has become, um, uh, become larger the models, the AI models that, that we, that are used have become more complex. Uh, for example, uh, one of the studies suggests that, uh, the, uh, that for a modeling of, uh, natural language processing, um, uh, one of the fields in AI, uh, the number of parameters used, could exceed like about a trillion in, uh, in a few years, right? So almost a size of a human brain. So, so not only that means that there's a lot of fear mounted to be, uh, data, to be processed, but, uh, by, uh, the process stored in yesterday, uh, but probably has to be done in the same amount of Dinah's before, perhaps even a smaller amount of time, right? So a larger data theme time, or perhaps even a smaller amount of time. So, absolutely. I agree. I mean, those type of, for these types of workloads, you need a storage that gives you that high-performance access, but also being able to store the store, that data is economically. >>And how does Dell technologies deliver that? The ability to scale the economics what's unique and differentiated about power skill? >>Uh, so power scale is, is, is our all flash, uh, system it's, uh, it's, uh, it's bad users, dark techno does some of the same capabilities that, uh, Isilon, um, products use used to offer, uh, one of his fault system capabilities, some of the capabilities that Maurizio has used and loved in the past, some of those, some of those same capabilities are brought forward. Now on this spar scale platform, um, there are some changes, like for example, on new Parscale's platform supports Nvidia GPU direct, right? So for, uh, artificial intelligence, uh, workloads, you do need these GPU capable machines. And, uh, and, uh, Parscale supports that those, uh, high high-performance Jupiter rec machines, uh, through, through the different technologies that we offer. And, um, the Parscale F 900, which should, which we are going to launch very soon, um, um, is, is, is our best hype, highest performance all-flash and the most economic allowed slash uh, to date. So, um, so it is, um, it not only is our fastest, but also offers, uh, the most economic, uh, most economical way of storing the data. Um, so, so ideal far for these type of high-performance workloads, like AIML, deep learning and so on. Excellent. >>So talk to me about some of the results that the university is achieving so far. I did read a three X improvement in IO performance. You were able to get nearly a hundred percent of the curriculum online pretty quickly, but talk to me about some of the other impacts that Dell technologies has helping the university to achieve. >>Oh, we had, uh, we had an old, uh, in all the Dell customer, and if you, uh, give a Luca walk, we have that inside the insomnia, our data centers. Uh, we typically joking, we define them as a sort of, uh, Dell technologies supermarket in the sense that, uh, uh, degreed part of our, our servers storage environment comes from, uh, from that technology said several generations of, uh, uh, PowerEdge servers, uh, uh, power, my ex, uh, Isaac along, uh, powers, Gale power store. So we, uh, we are, uh, um, using a lot of, uh, uh, Dell technologies here, here, and of course, uh, um, in the past, uh, our traditional, uh, workloads were well supported by that technologies. And, uh, Dell technologies is, uh, uh, driving ourselves versus, uh, the, what we call the next generation workloads, uh, because we are, uh, uh, combining gas, uh, in, um, in the transition of, uh, um, uh, the next generation of computing there, but to be OPA who, uh, to ask here, and he was walked through our research of looking for, cause if I, if I have to, to, to, to give a look to what we are, uh, doing, uh, mostly here, healthcare workloads, uh, deep learning, uh, uh, data analysis, uh, uh, image analysis in C major extraction that everything have be supported, especially from, uh, the next next generation servers typically keep the, uh, with, with GPU's. >>This is why GPU activities is, is so important for answer, but also, uh, supported on the, on the, on the networking side. But because of that, the, the, the speed, the, and the, of the storage, and must be tired to the next generation networking. Uh, low-latency high-performance because at the end of the day, you have to, uh, to bring the data in storage and DP. Can you do it? Uh, so, uh, they're, uh, one of the low latency, uh, uh, I performance, if they're connected zones is also a side effect of these new work. And of course that the college is, is, is. >>I love how you described your data centers as a Dell technologies supermarket, maybe a different way of talking about a center of excellence question. I want to ask you about, I know that the university of PISA is SCOE for Dell. Talk to me about in the last couple of minutes we have here, what that entails and how Dell helps customers become a center of excellence. >>Yeah, so Dell, um, like talked about has a lot of the Dell Dell products, uh, today, and, and, and in fact, he mentioned about the pirate servers, the power scale F 900 is, is actually based on a forehead server. So, so you can see, so a lot of these technologies are sort of in the linked with each other, they talk to each other, they will work together. Um, and, and, and that sort of helps, helps customers manage the entire, uh, ecosystem lifecycle data, life cycle together, versus as piece parts, because we have solutions that solve all aspects of, of, of the, uh, of, of, uh, of our customer like Mauricio's needs. Right. So, um, so yeah, I'm glad Maurizio is, is leveraging Dell and, um, and I'm happy we are able to help help more issue or solve solve, because, uh, all his use cases, uh, and UN >>Excellent. Maricio last question. Are you going to be using AI machine learning, powered by Dell to determine if the tower of PISA is going to continue to lean, or if it's going to stay where it is? >>Uh, the, the, the leaning tower is, uh, an engineering miracle. Uh, some years ago, uh, an engineering, uh, incredible worker, uh, was able, uh, uh, to fix them. They leaning for a while and let's open up the tower visa, stay there because he will be one of our, uh, beauty that you can come to to visit. >>And that's one part of Italy I haven't been to. So as pandemic, I gotta add that to my travel plans, MERITO and Kaushik. It's been a pleasure talking to you about how Dell is partnering with the university of PISA to really help you power AI machine learning workloads, to facilitate many use cases. We are looking forward to hearing what's next. Thanks for joining me this morning. Thank you for my guests. I'm Lisa Martin. You're watching the cubes coverage of Dell technologies world. The digital event experience.

(upbeat music) >> Welcome to this BizOps Manifesto Power Panel, Data Lake or Data Landfill. We're going to be talking about that today. I've got three guests joining me. We're going to dive through that. Kieran Taylor is here the CMO of Broadcom's Enterprise Software Division. Kieran, great to have you on the program. >> Thank you, Lisa. >> Kevin Surace is here as well. Chairman and CTO of Appvance, hey Kevin. >> Hey Lisa. >> And Isaac Sacolick Author and CEO of StarCIO. Isaac, welcome. >> Hi Lisa, thanks for having me. >> So we're going to spend the next 25 to 30 minutes talking about the challenges and the opportunities that data brings to organizations. You guys are going to share some of your best practices for how organizations can actually sort through all this data to make data-driven decisions. We're also going to be citing some statistics from the Inaugural BizOps Industry Survey of the State of Digital Business in which 519 business and technology folks were surveyed across five nations. Let's go ahead and jump right in and the first one in that server that I just mentioned 97% of organizations say we've got data related challenges, limiting the amount of information that we actually have available to the business. Big conundrum there. How do organizations get out of that conundrum? Kieran, we're going to start with you. >> Thanks Lisa. You know, I think, I don't know if it's so much limiting information as it is limiting answers. There's no real shortage of data I don't think being captured, recently met with a unnamed auto manufacturer Who's collecting petabytes of data from their connected cars and they're doing that because they don't really yet know what questions they have of the data. So I think you get out of this Data Landfill conundrum by first understanding what questions to ask. It's not algorithms, it's not analytics. It's not, you know, math that's going to solve this problem. It's really, really understanding your customer's issues and what questions to ask of the data >> Understanding what questions to ask of the data. Kevin, what are your thoughts? >> Yeah, look, I think it gets down to what questions you want to ask and what you want out of it, right? So there's questions you want to ask but what are the business outcomes you're looking for, which is the core of BizOps anyway, right? What are the business outcomes and what business outcomes can I act upon? So there are so many business outcomes you can get from data and you go, well, I can't legally act upon that. I can't practically act upon that. I can't, whether it's lay off people or hire people or whatever it is, right? So what are the actionable items? There is plenty of data. We would argue too much data. Now we could say, is the data good? Is the data bad? Is it poorly organized? Is it, noisy? There's all other problems, right? There's plenty of data. What do I do with it? What can I do that's actionable? If I was an automaker and I had lots of sensors on the road, I had petabytes, as Kieran says and I'd probably bringing in petabytes potentially every day. Well, I could make myself driving systems better. That's an obvious place to start or that's what I would do but I could also potentially use that to change people's insurance and say, if you drive in a certain way something we've never been able to do. If you drive in a certain way, based on the sensors you get a lower insurance rate, then nobody's done that. But now there's interesting business opportunities for that data that you didn't have one minute ago and I just gave away. So, (laughs) it's all about the actionable items in the data. How do you drive something to the top line and the bottom line? 'Cause in the end, that's how we're all measured. >> And Isaac, I know you say data is the lifeblood. What are your thoughts on this conundrum? >> Well, I think, you know, they gave you the start and the end of the equation, start with a question. What are you really trying to answer? What you don't understand that you want to learn about your business connect it to an outcome that is valuable to you. And really what most organizations struggle with is a process that goes through discovery, learning what's in the data, addressing data, quality issues, loading new data sources if required and really doing that iteratively and we're all agile people here at BizOps, right? So doing it iteratively, getting some answers out and understanding what the issues are with the underlying data and then going back and revisiting and reprioritizing what you want to do next. Do you want to go look at another question? Is the answer heading down a path that you can drive outcomes? Do you got to go cleanse some data? So it's really that, how do you put it together so that you can peel the onion back and start looking at data and getting insights out of it. >> Great advice, another challenge though, that the survey identified was that nearly 70% of the respondents and again, 519 business and technology professionals from five countries said, we are struggling to create business metrics from our data with so much data, so much that we can't access. Can you guys share best practices for how organizations would sort through and identify the best data sources from which they can identify the ideal business metrics? Kieran, take it away. >> Sure thing, I guess I'll build on Isaac's statements. Every company has some gap in data, right? And so when you do that, that data gap analysis I think you really, I don't know. It's like Alice in Wonderland, begin at the beginning, right? You start with that question like Isaac said, And I think the best questions are really born from an understanding of what your customers value. And if you dig into that, you understand what the customers value, you build it off of actual customer feedback, market research then you know what questions to ask and then from that, hey, what inputs do I need to really understand how to solve that particular business issue or problem. >> Kevin, what are your thoughts? >> Yeah, I'm going to add to that, completely agree but, look, let's start with sales data, right? So sales data is something, everybody watching this understands, even if they're not in sales, they go well, okay, I understand sales data. What's interesting there is we know who our customers are. We could probably figure out if we have enough data, why they buy, are they buying because of a certain sales person? Are they buying because it's a certain region? Are they buying because of some demographic that we don't understand, but AI can pull out, right? So I would like to know, who's buying and why they're buying. Because if I know that I might make more of what more of those people want whatever that is, certain fundamental sales changes or product changes or whatever it is. So if you could certainly start there, if you start nowhere else, say I sell X today. I'd like to sell X times 1.2 by next year. Okay, great. Can I learn from the last five years of sales, millions of units or million or whatever it is, how to do that better and the answer is for sure yes and yes there's problems with the data and there's holes in the data as Kieran said and there's missing data. It doesn't matter, there's a lot of data around sales. So you can just start there and probably drive some top line growth, just doing what you're already doing but doing it better and learning how to do it better. >> Learning how to do it better. Isaac, talk to us about what your thoughts are here with respect to this challenge. >> Well, when you look at that percentage 70% struggling with business metrics, you know what I see is some companies struggling when they have too few metrics and you know, their KPIs, it really doesn't translate well to people doing work for a customer for an application, responding to an issue. So when you have too few in there too disconnected from the work, people don't understand how to use them and then on the flip side I see other organizations trying to create metrics around every single part of the operation, you know, dozens of different ways of measuring user experience and so forth. And that doesn't work because now we don't know what to prioritize. So I think the art of this is management coming back and saying, what are the metrics? Do we want to see impact and changes over in a short amount of time, over the next quarter, over the next six months and to pick a couple in each category, certainly starting with the customer, certainly looking at sales but then also looking at operations and looking at quality and looking at risk and say to the organization, these are the two or three we're going to focus on in the next six months and then I think that's what simplifies it for organizations. >> Thanks, Isaac. So something that I found interesting, it's not surprising in that the survey found that too much data is one of the biggest challenges that organizations have followed by the limitations that we just talked about in terms of identifying what are the ideal business metrics, but a whopping 74% of survey respondents said we failed to have key data available in real time, which is a big inhibitor for data-driven decision-making. Can you guys offer some advice to organizations? How can they harness this data and glean insights from it faster, Kieran, take it away. >> Yeah, I think there are probably five steps to establishing business KPIs and Lisa your first two questions and these gentleman's answers laid out the first two that is define the questions that you want answers for and then identify what those data inputs would be. You know, if you've got a formula in mind, what data inputs do do you need? The remaining three steps. One is, you know, to evaluate the data you've got and then identify what's missing, you know what do you need to then fetch? And then that fetching, you need to think about the measurement method, the frequency I think Isaac mentioned, you know this concept of tools for all. We have too many tools to collect data. So, the measurement method and frequency is important standardizing on tools and automating that collection wherever possible. And then the last step, this is really the people component of the formula. You need to identify stakeholders that will own those business KPIs and even communicate them within the organization. That human element is sometimes forgotten and it's really important. >> It is important, it's one of the challenges as well. Kevin, talk to us about your thoughts here. >> Yeah, again I mean, for sure you've got in the end you've got the human element. You can give people all kinds of KPIs as Isaac said, often it's too many. You have now KPI the business to death and nobody can get out and do anything that doesn't work. Obviously you can't improve things until you measure them. So you have to measure, we get that. But this question of live data is interesting. My personal view is only certain kinds of data are interesting, absolutely live in the moment. So I think people get in their mind, oh, well if I could deploy IOT everywhere and get instantaneous access within one second to the amalgam of that data, I'm making up words too. That would be interesting. Are you sure that'd be interesting? I might rather analyze the last week of real, real data, really deep analysis, right? Build you know, a real model around that and say, okay for the next week, you ought to do the following. Now I get that if you're in the high-frequency stock trading business you know, every millisecond counts, okay? But most of our businesses do not run by the millisecond and we're not going to make a business decision especially humans involved in a millisecond anyway. We make business decisions based on a fair bit of data, days and weeks. So this is just my own personal opinion. I think people get hung up on this. I've got to have all this live data. No, you want great data analysis using AI and machine learning to evaluate as much data as you can get over whatever period of time that is a week, a month a year and start making some rational decisions off of that information. I think that is how you run a business that's going to crush your competition. >> Good advice, Isaac what are your thoughts on these comments? >> Yeah, I'm going to pair off of Kevin's comments. You know, how do you chip away at this problem at getting more real time data? And I'll share two insights first, from the top down, you know, when StarCIO works with a group of CEO and their executive group, you know how are they getting their data? Well, they're getting it in a boardroom with PowerPoints with spreadsheets behind those PowerPoints, with analysts doing a lot of number crunching and behind all that are all the systems of record around the CRM and the ERP and all the other systems that are telling them how they're performing. And I suggest to them for a month, leave the world of PowerPoint and Excel and bring your analysts in to show you the data live in the systems, ask questions and see what it's like to work with real time data. That first changes the perspective in terms of all the manual work that goes into homogenizing that data for them. But then they start getting used to looking at the tools where the data is actually living. So that's an exercise from the top down from the bottom up when we talk to the it groups, you know so much of our data technologies were built at a time when batch processing in our data centers was the only way to go. We ran these things overnight to move data from point a to point B and with the Cloud, with data streaming technologies it's really a new game in town. And so it's really time for many organizations to modernize and thinking about how they're streaming data. Doesn't necessarily have to be real time. It's not really IOT but it's really saying, I need to have my data updated on a regular basis with an SLA against it so that my teams and my businesses can make good decisions around things. >> So let's talk now about digital transformation. We've been talking about that for years. We talked a lot about in 2020, the acceleration of digital transformation for obvious reasons. But when organizations are facing this data conundrum that we talked about, this sort of data disconnect too much can't get what we need right away. Do we need it right away? How did they flip the script on that so that it doesn't become an impediment to digital transformation but it becomes an accelerant. Kieran >> You know, a lot of times you'll hear vendors talk about technology as being the answer, right? So MI, ML, my math is better than your math, et cetera. And technology is important but it's only effective to the point that which people can actually interpret understand and use the data. And so I would put forth this notion of having data at all levels throughout an organization too often. What you'll see is that I think Isaac mentioned it, you know the data is delivered to the C-suite via PowerPoint and it's been sanitized and scrubbed, et cetera. But heck, by the time it gets to the C-suite it's three weeks old. Data at all levels is making sure that throughout organization, the right people have real-time access to data and can make actionable decisions based upon that. So I think that's a real vital ingredient to successful digital transformation. >> Kevin. >> Well, I like to think of digital transformation as looking at all of your relatively manual or paper-based or other processes whatever they are throughout the organization and saying is this something that can now be done for lack of a better word by a machine, right? And that machine could be algorithms. It could be computers, it could be humans it could be Cloud, it could be AI it could be IOT doesn't really matter. (clears throat) And so there's a reason to do that and of course, the basis of that is the data. You've got to collect data to say, this is how we've been performing. This is what we've been doing. So an example, a simple example of digitalization is people doing RPA around customer support. Now you collect a lot of data on how customer support has been supporting customers. You break that into tiers and you say, here's the easiest, lowest tier. I had farmed that out to probably some other country 20 years ago or 10 years ago. Can I even with the systems in place, can I automate that with a set of processes, Robotic Process Automation that digitizes that process now, Now there still might be, you know 20 different screens that click on all different kinds of things, whatever it is, but can I do that? Can I do it with some Chatbots? Can I do it with it? No, I'm not going to do all the customer support that way but I could probably do a fair bit. Can I digitize that process? Can I digitize the process? Great example we all know is insurance companies taking claims. Okay, I have a phone. Can, I take a picture of my car that just got smashed send it in, let AI analyze it and frankly, do an ACH transfer within the hour, because if it costs them insurance company on average 300 to $500 depending on who they are to process a claim, it's cheaper to just send me the $500 then even question it. And if I did it two or three times, well then I'm trying to steal their money and I should go to jail, right? So these are just, I'm giving these as examples 'cause they're examples that everyone who is watching this would go, oh I understand you're digitizing a process. So now when we get to much more complex processes that we're digitizing in data or hiring or whatever, those are a little harder to understand but I just tried to give those as like everyone understands yes, you should digitize those. Those are obvious, right? >> Now those are great examples, you're right. They're relatable across the board here. Isaac, talk to me about what your thoughts are about. Okay, let's do the conundrum. How do we flip the script and leverage data, access to it insights to drive and facilitate digital transformation rather than impede it. >> Well remember, you know, digital transformation is really about changing the business model, changing how you're working with customers and what markets you're going after. You're being forced to do that because of the pace digital technologies are enabling competitors to outpace you. And so we really like starting digital transformations with a vision. What does this business need to do better, differently more of what markets are we going to go after? What types of technologies are important? And we're going to create that vision but we know long-term planning, doesn't work. We know multi-year planning, doesn't work. So we're going to send our teams out on an agile journey over the next sprint, over the next quarter and we're going to use data to give us information about whether we're heading in the right direction. Should we do more of something? Is this feature higher priority? Is there a certain customer segment that we need to pay attention to more? Is there a set of defects happening in our technology that we have to address? Is there a new competitor stealing market share all that kind of data is what the organization needs to be looking at on a very regular basis to say, do we need to pivot, what we're doing? Do we need to accelerate something? Are we heading in the right direction? Should we give ourselves high fives and celebrate a quick win? Because we've accomplished something 'cause so much of transformation is what we're doing today. We're going to change what we're doing over the next three years, and then guess what? There's going to be a new set of technologies. There's going to be another disruption that we can't anticipate and we want our teams sitting on their toes waiting to look at data and saying, what should we do next? >> That's a great segue Isaac into our last question, which is around culture that's always one of those elephants in the room, right? Because so much cultural transformation is necessary but it's incredibly difficult. So question for you guys, Kieran we'll start with you is, should you advise leadership, should really create a culture, a company-wide culture around data? What do you think? >> Absolutely. I mean, this reminds me of DevOps in many ways and you know, the data has to be shared at all levels and has to empower people to make decisions at their respective levels so that we're not, you know kind of siloed in our knowledge or our decision-making, it's through that collective intelligence that I think organizations can move forward more quickly but they do have to change the culture and they've got to have everyone in the room. Everyone's got a stake in driving business success from the C-suite down to the individual contributor >> Right, Kevin, your thoughts >> You know what? Kieran's right. Data silos, one of the biggest brick walls in all of our way, all the time, you know SecOps says there is no way I'm going to share that database because it's got PII. Okay, well, how about if we strip the PII? Well, then that won't be good for something else and you're getting these huge arguments and if you're not driving it from the top, certainly the CIO, maybe the CFO, maybe the CEO I would argue the CEO, drives it from the top. 'Cause the CEO drives company culture and you know, we talk BizOps and the first word of that is Biz. It's the business, right? It's Ops being driven by business goals and the CEO has to set the business goals. It's not really up to the CIO to set business goals. They're setting operational goals, it's up to the CEO. So when the CEO comes out and says our business goals are to drive up sales by this drive down cost by this drive up speed of product development, whatever it is and we're going to digitize all of our processes to do that. We're going to set in KPIs. We're going to measure everything that we do and everybody's going to work around this table. By the way just like we did with DevOps a decade ago, right? And said, Dev, you actually have to work with Ops now and they go, those dangerous guys way over in that other building, we don't even know who they are but in time people realize that we're all on the same team and that if developers develop something that operations can't host and support and keep alive, it's junk right? And we used to do that and now we're much better at it. And whether it's Dev, SecOps or Dev two-way Ops, whatever all those teams working together. Now we're going to spread that out and make it a bigger pyre on the company and it starts with the CEO. And when the CEO makes it a directive for the company I think we're all going to be successful. >> Isaac, what are your thoughts? >> I think we're really talking about a culture of transformation and a culture of collaboration. I mean, again, everything that we're doing now we're going to build, we're going to learn. We're going to use data to pivot what we're doing. We're going to release a product to customers. We're going to get feedback. We're going to continue to iterate over those things. Same thing when it comes to sales, same things that you know, the experiments that we do for marketing, what we're doing today, we're constantly learning. We're constantly challenging our assumptions. We're trying to throw out the sacred cows with status quo, 'cause we know there's going to be another Island that we have to go after and that's the transformation part. The collaboration part is really you know, what you're hearing. Multiple teams, not just Dev and Ops and not just data and Dev, but really the spectrum of business of product, of stakeholders, of marketing and sales, working with technologists and saying, look this is the things that we need to go after over these time periods and work collaboratively and iteratively around them. And again, the data is the foundation for this, right? And we talk about a learning culture as part of that, the data is a big part of that learning, learning new skills and what new skills to learn is as part of that. But when I think about culture, you know the things that slow down organizations is when they're not transforming fast enough, or they're going in five or six different directions, they're not collaborative enough and the data is the element in there that is an equalizer. It's what you show everybody to say, look what we're doing today is not going to make us survive over the next three years. >> The data equalizer, that sounds like it could be movie coming out in 2021. (laughing) Gentlemen, thank you for walking us through some of those interesting metrics coming out of the BizOps Inaugural Survey. Yes, there are challenges with data. Many of them aren't surprising but there's also a lot of tremendous opportunity and I liked how you kind of brought it around to from a cultural perspective. It's got to start from that C-suite to Kieran's point all the way down. I know we could keep talking, we're out of time, but we'll have to keep following, this as a very interesting topic. One that is certainly pervasive across industries. Thanks guys for sharing your insights. >> Than you. >> Thank you, Lisa. >> Thank you, Lisa. >> For Kieran Taylor, Kevin Surace and Isaac Sacolick. I'm Lisa Martin. Thanks for watching. (upbeat music)

>>Hello. My name is Isaac twang and I am on the faculty at MIT in electrical engineering and computer science and in physics. And it is a pleasure for me to be presenting at today's NTT research symposium of 2020 to share a little bit with you about programmable quantum simulators theory and practice the simulation of physical systems as described by their Hamiltonian. It's a fundamental problem which Richard Fineman identified early on as one of the most promising applications of a hypothetical quantum computer. The real world around us, especially at the molecular level is described by Hamiltonians, which captured the interaction of electrons and nuclei. What we desire to understand from Hamiltonian simulation is properties of complex molecules, such as this iron molded to them. Cofactor an important catalyst. We desire there are ground States, reaction rates, reaction dynamics, and other chemical properties, among many things for a molecule of N Adams, a classical simulation must scale exponentially within, but for a quantum simulation, there is a potential for this simulation to scale polynomials instead. >>And this would be a significant advantage if realizable. So where are we today in realizing such a quantum advantage today? I would like to share with you a story about two things in this quest first, a theoretical optimal quantum simulation, awkward them, which achieves the best possible runtime for generic Hamiltonian. Second, let me share with you experimental results from a quantum simulation implemented using available quantum computing hardware today with a hardware efficient model that goes beyond what is utilized by today's algorithms. I will begin with the theoretically optimal quantum simulation uncle rhythm in principle. The goal of quantum simulation is to take a time independent Hamiltonian age and solve Schrodinger's equation has given here. This problem is as hard as the hardest quantum computation. It is known as being BQ P complete a simplification, which is physically reasonable and important in practice is to assume that the Hamiltonian is a sum over terms which are local. >>For example, due to allow to structure these local terms, typically do not commute, but their locality means that each term is reasonably small, therefore, as was first shown by Seth Lloyd in 1996, one way to compute the time evolution that is the exponentiation of H with time is to use the lead product formula, which involves a successive approximation by repetitive small time steps. The cost of this charterization procedure is a number of elementary steps, which scales quadratically with the time desired and inverse with the error desired for the simulation output here then is the number of local terms in the Hamiltonian. And T is the desired simulation time where Epsilon is the desired simulation error. Today. We know that for special systems and higher or expansions of this formula, a better result can be obtained such as scaling as N squared, but as synthetically linear in time, this however is for a special case, the latest Hamiltonians and it would be desirable to scale generally with time T for a order T time simulation. >>So how could such an optimal quantum simulation be constructed? An important ingredient is to transform the quantum simulation into a quantum walk. This was done over 12 years ago, Andrew trials showing that for sparse Hamiltonians with around de non-zero entries per row, such as shown in this graphic here, one can do a quantum walk very much like a classical walk, but in a superposition of right and left shown here in this quantum circuit, where the H stands for a hazard market in this particular circuit, the head Mar turns the zero into a superposition of zero and one, which then activate the left. And the right walk in superposition to graph of the walk is defined by the Hamiltonian age. And in doing so Childs and collaborators were able to show the walk, produces a unitary transform, which goes as E to the minus arc co-sign of H times time. >>So this comes close, but it still has this transcendental function of age, instead of just simply age. This can be fixed with some effort, which results in an algorithm, which scales approximately as towel log one over Epsilon with how is proportional to the sparsity of the Hamiltonian and the simulation time. But again, the scaling here is a multiplicative product rather than an additive one, an interesting insight into the dynamics of a cubit. The simplest component of a quantum computer provides a way to improve upon this single cubits evolve as rotations in a sphere. For example, here is shown a rotation operator, which rotates around the axis fi in the X, Y plane by angle theta. If one, the result of this rotation as a projection along the Z axis, the result is a co-sign squared function. That is well-known as a Ravi oscillation. On the other hand, if a cubit is rotated around multiple angles in the X Y plane, say around the fee equals zero fee equals 1.5 and fee equals zero access again, then the resulting response function looks like a flat top. >>And in fact, generalizing this to five or more pulses gives not just flattered hops, but in fact, arbitrary functions such as the Chevy chef polynomial shown here, which gets transplants like bullying or, and majority functions remarkably. If one does rotations by angle theta about D different angles in the X Y plane, the result is a response function, which is a polynomial of order T in co-sign furthermore, as captured by this theorem, given a nearly arbitrary degree polynomial there exists angles fi such that one can achieve the desired polynomial. This is the result that derives from the Remez exchange algorithm used in classical discreet time signal processing. So how does this relate to quantum simulation? Well recall that a quantum walk essentially embeds a Hamiltonian insight, the unitary transform of a quantum circuit, this embedding generalize might be called and it involves the use of a cubit acting as a projector to control the application of H if we generalize the quantum walk to include a rotation about access fee in the X Y plane, it turns out that one obtains a polynomial transform of H itself. >>And this it's the same as the polynomial in the quantum signal processing theorem. This is a remarkable result known as the quantum synchrony value transformed theorem from contrast Julian and Nathan weep published last year. This provides a quantum simulation auger them using quantum signal processing. For example, can start with the quantum walk result and then apply quantum signal processing to undo the arc co-sign transformation and therefore obtain the ideal expected Hamiltonian evolution E to the minus I H T the resulting algorithm costs a number of elementary steps, which scales as just the sum of the evolution time and the log of one over the error desired this saturates, the known lower bound, and thus is the optimal quantum simulation algorithm. This table from a recent review article summarizes a comparison of the query complexities of the known major quantum simulation algorithms showing that the cubitus station and quantum sequel processing algorithm is indeed optimal. >>Of course, this optimality is a theoretical result. What does one do in practice? Let me now share with you the story of a hardware efficient realization of a quantum simulation on actual hardware. The promise of quantum computation traditionally rests on a circuit model, such as the one we just used with quantum circuits, acting on cubits in contrast, consider a real physical problem from quantum chemistry, finding the structure of a molecule. The starting point is the point Oppenheimer separation of the electronic and vibrational States. For example, to connect it, nuclei, share a vibrational mode, the potential energy of this nonlinear spring, maybe model as a harmonic oscillator since the spring's energy is determined by the electronic structure. When the molecule becomes electronically excited, this vibrational mode changes one obtains, a different frequency and different equilibrium positions for the nuclei. This corresponds to a change in the spring, constant as well as a displacement of the nuclear positions. >>And we may write down a full Hamiltonian for this system. The interesting quantum chemistry question is known as the Frank Condon problem. What is the probability of transition between the original ground state and a given vibrational state in the excited state spectrum of the molecule, the Frank content factor, which gives this transition probability is foundational to quantum chemistry and a very hard and generic question to answer, which may be amiable to solution on a quantum computer in particular and natural quantum computer to use might be one which already has harmonic oscillators rather than one, which has just cubits. This has provided any Sonic quantum processors, such as the superconducting cubits system shown here. This processor has both cubits as embodied by the Joseph's injunctions shown here, and a harmonic oscillator as embodied by the resonant mode of the transmission cavity. Given here more over the output of this planar superconducting circuit can be connected to three dimensional cavities instead of using cubit Gates. >>One may perform direct transformations on the bull's Arctic state using for example, beam splitters, phase shifters, displacement, and squeezing operators, and the harmonic oscillator, and may be initialized and manipulated directly. The availability of the cubit allows photon number resolve counting for simulating a tri atomic two mode, Frank Condon factor problem. This superconducting cubits system with 3d cavities was to resonators cavity a and cavity B represent the breathing and wiggling modes of a Triumeq molecule. As depicted here. The coupling of these moles was mediated by a superconducting cubit and read out was accomplished by two additional superconducting cubits, coupled to each one of the cavities due to the superconducting resonators used each one of the cavities had a, a long coherence time while resonator States could be prepared and measured using these strong coupling of cubits to the cavity. And Posana quantum operations could be realized by modulating the coupling cubit in between the two cavities, the cavities are holes drilled into pure aluminum, kept superconducting by millikelvin scale. >>Temperatures microfiber, KT chips with superconducting cubits are inserted into ports to couple via a antenna to the microwave cavities. Each of the cavities has a quality factor so high that the coherence times can reach milliseconds. A coupling cubit chip is inserted into the port in between the cavities and the readout and preparation cubit chips are inserted into ports on the sides. For sake of brevity, I will skip the experimental details and present just the results shown here is the fibrotic spectrum obtained for a water molecule using the Pulsonix superconducting processor. This is a typical Frank content spectrum giving the intensity of lions versus frequency in wave number where the solid line depicts the theoretically expected result and the purple and red dots show two sets of experimental data. One taken quickly and another taken with exhaustive statistics. In both cases, the experimental results have good agreement with the theoretical expectations. >>The programmability of this system is demonstrated by showing how it can easily calculate the Frank Condon spectrum for a wide variety of molecules. Here's another one, the ozone and ion. Again, we see that the experimental data shown in points agrees well with the theoretical expectation shown as a solid line. Let me emphasize that this quantum simulation result was obtained not by using a quantum computer with cubits, but rather one with resonators, one resonator representing each one of the modes of vibration in this trial, atomic molecule. This approach represents a far more efficient utilization of hardware resources compared with the standard cubit model because of the natural match of the resonators with the physical system being simulated in comparison, if cubit Gates had been utilized to perform the same simulation on the order of a thousand cubit Gates would have been required compared with the order of 10 operations, which were performed for this post Sonic realization. >>As in topically, the Cupid motto would have required significantly more operations because of the need to retire each one of the harmonic oscillators into some max Hilbert space size compared with the optimal quantum simulation auger rhythms shown in the first half of this talk, we see that there is a significant gap between available quantum computing hardware can perform and what optimal quantum simulations demand in terms of the number of Gates required for a simulation. Nevertheless, many of the techniques that are used for optimal quantum simulation algorithms may become useful, especially if they are adapted to available hardware, moving for the future, holds some interesting challenges for this field. Real physical systems are not cubits, rather they are composed from bolt-ons and from yawns and from yawns need global anti-Semitism nation. This is a huge challenge for electronic structure calculation in molecules, real physical systems also have symmetries, but current quantum simulation algorithms are largely governed by a theorem, which says that the number of times steps required is proportional to the simulation time. Desired. Finally, real physical systems are not purely quantum or purely classical, but rather have many messy quantum classical boundaries. In fact, perhaps the most important systems to simulate are really open quantum systems. And these dynamics are described by a mixture of quantum and classical evolution and the desired results are often thermal and statistical properties. >>I hope this presentation of the theory and practice of quantum simulation has been interesting and worthwhile. Thank you.

>> Announcer: From theCUBE Studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Hello, welcome back to theCUBE's coverage, CUBE Virtual's coverage, CUBE digital coverage, of AWS Summit, virtual online, Amazon Summit's normally in face-to-face all around the world, it's happening now online, follow the sun. Of course, we want to bring theCUBE coverage like we do at the events digitally, and we've got a great guest that usually comes on face-to-face, he's coming on virtual, Sanjay Poonen, the chief operating officer of VMware. Sanjay great to see you, thanks for coming in virtually, you look great. >> Hey, John thank you very much. Always a pleasure to talk to you. This is the new reality. We both happen to live very close to each other, me in Los Altos, you in Palo Alto, but here we are in this new mode of communication. But the good news is I think you guys at theCUBE were pioneering a lot of digital innovation, the AI platform, so hopefully it's not much of an adjustment for you guys to move digital. >> It's not really a pivot, just move the boat, put the sails up and sail into the next generation, which brings up really the conversation that we're seeing, which is this digital challenge, the virtual world, it's virtualization, Sanjay, it sounds like VMware. Virtualization spawned so much opportunity, it created Amazon, some say, I'd say. Virtualizing our world, life is now integrated, we're immersed into each other, physical and digital, you got edge computing, you got cloud native, this is now a clear path to customers that recognize with the pandemic challenges of at-scale, that they have to operate their business, reset, reinvent, and grow coming out of this pandemic. This has been a big story that we've been talking about and a lot of smart managers looking at projects saying, I'm doubling down on that, and I'm going to move the resources from this, the people and budget, to this new reality. This is a tailwind for the folks who were prepared, the ones that have the experience, the ones that did the work. theCUBE, thanks for the props, but VMware as well. Your thoughts and reaction to this new reality, because it has to be cloud native, otherwise it doesn't work, your thoughts. >> Yeah, I think, John, you're right on. We were very fortunate as a company to invent the term virtualization for an x86 architecture and the category 20 years ago when Diane founded this great company. And I would say you're right, the public cloud is the instantiation of virtualization at its sort of scale format and we're excited about this Amazon partnership, we'll talk more about that. This new world of doing everything virtual has taken the same concepts to whole new levels. We are partnering very closely with companies like Zoom, because a good part of this is being able to deliver video experiences in there, we'll talk about that if needed. Cloud native security, we announced an acquisition today in container security that's very important because we're making big moves in security, security's become very important. I would just say, John, the first thing that was very important to us as we began to shelter in place was the health of our employees. Ironically, if I go back to, in January I was in Davos, in fact some of your other folks who were on the show earlier, Matt Garman, Andy, we were all there in January. The crisis already started in China, but it wasn't on the world scene as much of a topic of discussion. Little did we know, three, four weeks later, fast forward to February things were moving so quickly. I remember a Friday late in February where we were just about to go the next week to Las Vegas for our in-person sales kickoffs. Thousands of people, we were going to do, I think, five or 6,000 people in Las Vegas and then another 3,000 in Barcelona, and then finally in Singapore. And it had not yet been categorized a pandemic. It was still under this early form of some worriable virus. We decided for the health and safety of our employees to turn the entire event that was going to happen on Monday to something virtual, and I was so proud of the VMware team to just basically pivot just over the weekend. To change our entire event, we'd been thinking about video snippets. We have to become in this sort of virtual, digital age a little bit like TV producers like yourself, turn something that's going to be one day sitting in front of an audience to something that's a lot shorter, quicker snippets, so we began that, and the next thing we began doing over the next several weeks while the shelter in place order started, was systematically, first off, tell our employees, listen, focus on your health, but if you're healthy, turn your attention to serving your customers. And we began to see, which we'll talk about hopefully in the context of the discussion, parts of our portfolio experience a tremendous amount of interest for a COVID-centered world. Our digital workplace solutions, endpoint security, SD-WAN, and that trifecta began to be something that we began to see story after story of customers, hospitals, schools, governments, retailers, pharmacies telling us, thank you, VMware, for helping us when we needed those solutions to better enable our people on the front lines. And all VMware's role, John, was to be a digital first responder to the first responder, and that gave tremendous amount of motivation to all of our employees into it. >> Yeah, and I think that's a great point. One of the things we've been talking about, and you guys have been aligned with this, you mentioned some of those points, is that as we work at home, it points out that digital and technology is now part of lifestyle. So we used to talk about consumerization of IT, or immersion with augmented reality and virtual reality, and then talk about the edge of the network as an endpoint, we are at the edge of the network, we're at home, so this highlights some of the things that are in demand, workspaces, VPN provisioning, these new tools, that some cases we've been hearing people that no one ever thought of having a forecast of 100% VPN penetration. Okay, you did the AirWatch deal way back when you first started, these are now fruits of those labors. So I got to ask you, as managers of your customer base are out there thinking, okay, I got to double down on the right growth strategy for this post-pandemic world, the smart managers are going to look at the technologies enabled for business outcome, so I have to ask you, innovation strategies are one thing, saying it, putting it place, but now more than ever, putting them in action is the mandate that we're hearing from customers. Okay I need an innovation strategy, and I got to put it into action fast. What do you say to those customers? What is VMware doing with AWS, with cloud, to make those innovation strategies not only plausible but actionable? >> That's a great question, John. We focused our energy, before even COVID started, as we prepared for this year, going into sales kickoffs and our fiscal year, around five priorities. Number one was enabling the world to be multicloud, private cloud and public cloud, and clearly our partnership here with Amazon is the best example of that and they are our preferred cloud partner. Secondly, building modern apps with microservices and cloud native, what we call app modernization. Thirdly, which is a key part to the multicloud, is building out the entire network stack, data center networking, the firewalls, the load bouncing in SD-WAN, so I'd call that cloud network. Number four, the modernization of workplace with an additional workspace solution, Workspace ONE. And five, intrinsic security from all aspects of security, network, endpoint, and cloud. So those five priorities were what we began to think through, organize our portfolio, we call them solution pillars, and for any of your viewers who're interested, there's a five-minute version of the VMware story around those five pillars that you can watch on YouTube that I did, you just search for Sanjay Poonen and five-minute story. But then COVID hit us, and we said, okay we got to take these strategies now and make them more actionable. Exactly your question, right? So a subset of that portfolio of five began to become more actionable, because it's pointless going and talking about stuff and it's like, hey, listen, guys, I'm a house on fire, I don't care about the curtains and all the wonderful art. You got to help me through this crisis. So a subset of that portfolio became kind of what was those, think about now your laptop at home, or your endpoint at home. People wanted, on top of their Zoom call, or surrounding their Zoom call, a virtual desktop managed easily, so we began to see Workspace ONE getting a lot of interest from our customers, especially the VDI part of that portfolio. Secondly, that laptop at home needed to be secured. Traditional, old, legacy AV solutions that've worked, enter Carbon Black, so Workspace ONE plus Carbon Black, one and two. Third, that laptop at home needs network acceleration, because we're dialoguing and, John, we don't want any latency. Enter SD-WAN. So the trifecta of Workspace ONE, Carbon Black and VeloCloud, that began to see even more interest and we began to hone in our portfolio around those three. So that's an example of where you have a general strategy, but then you apply it to take action in the midst of a crisis, and then I say, listen, that trifecta, let's just go and present what we can do, we call that the business continuity or business resilience part of our portfolio. We began to start talking to customers, and saying, here's our business continuity solution, here's what we could do to help you, and we targeted hospitals, schools, governments, pharmacies, retailers, the ones who're on the front line of this and said again, that line I said earlier, we want to be a digital first responder to you, you are the real first responder. Right before this call I got off a CIO call with the CIO of a major hospital in the northeast area. What gives me great joy, John, is the fact that we are serving them. Their beds are busting at the seam, in serving patients-- >> And ransomware's a huge problem you guys-- >> We're serving them. >> And great stuff there, Sanjay, I was just on a call this morning with a bunch of folks in the security industry, thought leaders, was in DC, some generals were there, some real thought leaders, trying to figure out security policy around biosecurity, COVID-19, and this invisible disruption, and they were equating it to like the World Wars. Big inflection point, and one of the generals said, in those times of crisis you need alliances. So I got to ask you, COVID-19 is impactful, it's going to have serious impact on the critical nature of it, like you said, the house is on fire, don't worry about the curtains. Alliances matter more than ever when you need to come together. You guys have an ecosystem, Amazon's got an ecosystem, this is going to be a really important test to the alliances out there. How do you view that as you look forward? You need the alliances to be successful, to compete and win in the new world as this invisible enemy, if you will, or disruptor happens, what's your thoughts? >> Yeah, I'll answer in a second, just for your viewers, I sneezed, okay? I've been on your show dozens of time, John, but in your live show, if I sneezed, you'd hear the loud noise. The good news in digital is I can mute myself when a sneeze is about to happen, and we're able to continue the conversation, so these are some side benefits of the digital part of it. But coming to your question on alliance, super important. Ecosystems are how the world run around, united we stand, divided we fall. We have made ecosystems, I've always used this phrase internally at VMware, sort of like Isaac Newton, we see clearly because we stand on the shoulders of giants. So VMware is always able to be bigger of a company if we stand on the shoulders of bigger giants. Who were those companies 20 years ago when Diane started the company? It was the hardware economy of Intel and then HP and Dell, at the time IBM, now Lenovo, Cisco, NetApp, DMC. Today, the new hardware companies Amazon, Azure, Google, whoever have you, we were very, I think, prescient, if you would, to think about that and build a strategic partnership with Amazon three or four years ago. I've mentioned on your show before, Andy's a close friend, he was a classmate over at Harvard Business School, Pat, myself, Ragoo, really got close to Andy and Matt Garman and Mike Clayville and several members of their teams, Teresa Carlson, and began to build a partnership that I think is one of the most incredible success stories of a partnership. And Dell's kind of been a really strong partner with us on private cloud, having now Amazon with public cloud has been seminal, we do regular meetings and build deep integration of, VMware Cloud and AWS is not some announcement two or three years ago. It's deep engineering between, Bask's now in a different role, but in his previous role, that and people like Mark Lohmeyer in our team. And that deep engineering allows us to know and tell customers this simple statement, which both VMware and Amazon reps tell their customers today, if you have a workload running on vSphere, and you want to move that to Amazon, the best place, the preferred place for that is VMware Cloud and Amazon. If you try to refactor that onto a native VC 2, it's a waste of time and money. So to have the entire army of VMware and Amazon telling customers that statement is a huge step, because it tells customers, we have 70 million virtual machines running on-prem. If customers are looking to move those workloads to Amazon, the best place for that VMware Cloud and AWS, and we have some credible customer case studies. Freddie Mac was at VMworld last year. IHS Markit was at VMworld last year talking about it. Those are two examples and many more started it, so we would like to have every VMware and Amazon customer that's thinking about VMware to look at this partnership as one of the best in the industry and say very similar to what Andy I think said on stage at the time of this announcement, it doesn't have to be now a trade-off between public and private cloud, you can get the best of both worlds. That's what we're trying to do here-- >> That's a great point, I want to get your thoughts on leadership, as you look at COVID-19, one of our tracks we're going to be promoting heavily on theCUBE.net and our sites, around how to manage through this crisis. Andy Jassy was quoted on the fireside chat, which is coming up here in North America, but I saw it yesterday in New Zealand time as I time shifted over there, it's a two-sided door versus a one-sided door. That was kind of his theme is you got to be able to go both ways. And I want to get your thoughts, because you might know what you're doing in certain contexts, but if you don't know where you're going, you got to adjust your tactics and strategies to match that, and there's and old expression, if you don't know where you're going, every road will take you there, okay? And so a lot of enterprise CXOs or CEOs have to start thinking about where they want to go with their business, this is the growth strategy. Then you got to understand which roads to take. Your thoughts on this? Obviously we've been thinking it's cloud native, but if I'm a decision maker, I want to make sure I have an architecture that's going to carry me forward to the future. I need to make sure that I know where I'm going, so I know what road I'm on. Versus not knowing where I'm going, and every road looks good. So your thoughts on leadership and what people should be thinking around knowing what their destination is, and then the roads to take? >> John, I think it's the most important question in this time. Great leaders are born through crisis, whether it's Winston Churchill, Charles de Gaulle, Roosevelt, any of the leaders since then, in any country, Mahatma Gandhi in India, the country I grew up, Nelson Mandela, MLK, all of these folks were born through crisis, sometimes severe crisis, they had to go to jail, they were born through wars. I would say, listen, similar to the people you talked about, yeah, there's elements of this crisis that similar to a World War, I was talking to my 80 year old father, he's doing well. I asked him, "When was the world like this?" He said, "Second World War." I don't think this crisis is going to last six years. It might be six or 12 months, but I really don't think it'll be six years. Even the health care professionals aren't. So what do we learn through this crisis? It's a test of our leadership, and leaders are made or broken during this time. I would just give a few guides to leaders, this is something tha, Andy's a great leader, Pat, myself, we all are thinking through ways by which we can exercise this. Think of Sully Sullenberger who landed that plane on the Hudson. Did he know when he flew that airbus, US Airways airbus, that few flock of birds were going to get in his engine, and that he was going to have to land this plane in the Hudson? No, but he was making decisions quickly, and what did he exude to his co-pilot and to the rest of staff, calmness and confidence and appropriate communication. And I think it's really important as leaders, first off, that we communicate, communicate, communicate, communicate to our employees. First, our obligation is first to our employees, our family first, and then of course to our company employees, all 30,000 at VMware, and I'm sure similarly Andy does it to his, whatever, 60, 70,000 at AWS. And then you want to be able to communicate to them authentically and with clarity. People are going to be reading between the lines of everything you say, so one of the things I've sought to do with my team, all the front office functions report to me, is do half an hour Zoom video conferences, in the time zone that's convenient to them, so Japan, China, India, Europe, in their time zone, so it's 10 o'clock my time because it's convenient to Japan, and it's just 10 minutes of me speaking of what I'm seeing in the world, empathizing with them but listening to them for 20 minutes. That is communication. Authentically and with clarity, and then turn your attention to your employees, because we're going stir crazy sitting at home, I get it. And we've got to abide by the ordinances with whatever country we're in, turn your attention to your customers. I've gotten to be actually more productive during this time in having more customer conference calls, video conference calls on Zoom or whatever platform with them, and I'm looking at this now as an opportunity to engage in a new way. I have to be better prepared, like I said, these are shorter conversations, they're not as long. Good news I don't have to all over the place, that's better for my family, better for the carbon emission of the world, and also probably for my life long term. And then the third thing I would say is pick one area that you can learn and improve. For me, the last few years, two, three years, it's been security. I wanted to get the company into security, as you saw today we've announced mobile, so I helped architect the acquisition of Carbon Black, very similar to kind of the moves I've made six years ago around AirWatch, very key part to all of our focus to getting more into security, and I made it a personal goal that this year, at the start of the year, before COVID, I was going to meet 1,000 CISOs, in the Fortune 1000 Global 2000. Okay, guess what, COVID happens, and quite frankly that goal's gotten a little easier, because it's much easier for me to meet a lot more people on Zoom video conferences. I could probably do five, 10 per day, and if there's 200 working days in a day, I can easily get there, if I average about five per day, and sometimes I'm meeting them in groups of 10, 20. >> So maybe we can get you on theCUBE more often too, 'cause you have access to a video camera. >> That is my growth mindset for this year. So pick a growth mindset area. Satya Nadella puts this pretty well, "Move from being a know-it-all to a learn-it-all." And that's the mindset, great company. Andy has that same philosophy for Amazon, I think the great leaders right now who are running these cloud companies have that growth mindset. Pick an area that you can grow in this time, and you will find ways to do it. You'll be able to learn online and then be able to teach in some fashion. So I think communicate effectively, authentically, turn your attention to serving your customers, and then pick some growth area that you can learn yourself, and then we will come out of this crisis collectively, individuals and as partners, like VMware and Amazon, and then collectively as a society, I believe we'll come out stronger. >> Awesome great stuff, great insight there, Sanjay. Really appreciate you sharing that leadership. Back to the more of technical questions around leadership is cloud native. It's clear that there's going to be a line in the sand, if you will, there's going to be a right side of history, people are going to have to be on the right side of history, and I believe it's cloud native. You're starting to see this emersion. You guys have some news, you just announced today, you acquired a Kubernetes security startup, around Kubernetes, obviously Kubernetes needs security, it's one of those key new enablers, disruptive enablers out there. Cloud native is a path that is a destination opportunity for people to think about, why that acquisition? Why that company? Why is VMware making this move? >> Yeah, we felt as we talked about our plans in security, backing up to things I talked about in my last few appearances on your show at VMworld, when we announced Carbon Black, was we felt the security industry was broken because there was too many point benders, and we figured there'd be three to five control points, network, endpoint, cloud, where we could play a much more pronounced role at moving a lot of these point benders, I describe this as not having to force our customers to go to a doctor and say I've got to eat 5,000 tablets to get healthy, you make it part of your diet, you make it part of the infrastructure. So how do we do that? With network security, we're off to the races, we're doing a lot more data center networking, firewall, load bouncing, SD-WAN. Really, reality is we can eat into a lot of the point benders there that I've just been, and quite frankly what's happened to us very gratifying in the network security area, you've seen the last few months, some firewall vendors are buying SD-WAN players, kind of following our strategy. That's a tremendous validation of the fact that the network security space is being disrupted. Okay, move to endpoint security, part of the reason we acquired Carbon Black was to unify the client side, Workspace ONE and Carbon Black should come together, and we're well under way in doing that, make Carbon Black agentless on the server side with vSphere, we're well on the way to that, you'll see that very soon. By the way both those things are something that the traditional endpoint players can't do. And then bring out new forms of workload. Servers that are virtualized by VMware is just one form of work. What are other workloads? AWS, the public clouds, and containers. Container's just another workload. And we've been looking at container security for a long time. What we didn't want to do was buy another static analysis player, another platform and replatform it. We felt that we could get great technology, we have incredible grandeur on container cell. It's sort of Red Hat and us, they're the only two companies who are doing Kubernetes scales. It's not any of these endpoint players who understand containers. So Kubernetes, VMware's got an incredible brand and relevance and knowledge there. The networking part of it, service mesh, which is kind of a key component also to this. We've been working with Google and others like Istio in service mesh, we got a lot of IP there that the traditional endpoint players, Symantec, McAfee, Trend, CrowdStrike, don't know either Kubernetes or service mesh well. We add now container security into this, we really distinguish ourselves further from the traditional endpoint players with bringing together, not just the endpoint platform that can do containers, but also Kubernetes service mesh. So why is that important? As people think about their future in containers, they'll want to do this at the runtime level, not at the static level. They'll want to do it at build time And they'll want to have it integrated with some of their networking capabilities like service mesh. Who better to think about that IP and that evolution than VMware, and now we bring, I think it's 12 to 14 people we're bringing in from this acquisition. Several of them in Israel, some of them here in Palo Alto, and they will build that platform into the tech that VMware has onto the Carbon Black cloud and we will deliver that this year. It's not going to be years from now. >> Did you guys talk about the-- >> Our capability, and then we can bring the best of Carbon Black, with Tanzu, service mesh, and even future innovation, like, for example, there's a big movement going around, this thing call open policy agent OPA, which is an open source effort around policy management. You should expect us to embrace that, there could be aspects of OPA that also play into the future of this container security movement, so I think this is a really great move for Patrick and his team, I'm very excited. Patrick is the CEO of Carbon Black and the leader of that security business unit, and he came to me and said, "Listen, one of the areas "we need to move in is container security "because it's the number one request I'm hearing "from our CESOs and customers." I said, "Go ahead Patrick. "Find out who are the best player you could acquire, "but you have to triangulate that strategy "with the Tanzu team and the NSX team, "and when you have a unified strategy what we should go, "we'll go an make the right acquisition." And I'm proud of what he was able to announce today. >> And I noticed you guys on the release didn't talk about the acquisition amount. Was it not material, was it a small amount? >> No, we don't disclose small, it's a tuck-in acquisition. You should think of this as really bringing us some tech and some talent, and being able to build that into the core of the platform of Carbon Black. Carbon Black was the real big move we made. Usually what we do, you saw this with AirWatch, right, anchor on a fairly big move. We paid I think 2.1 billion for Carbon Black, and then build and build and build on top of that, partner very heavily, we didn't talk about that. If there's time we could talk about it. We announced today a security alliance with top SIEM players, in what's called a sock alliance. Who's announced in there? Splunk, IBM QRadar, Google Chronicle, Sumo Logic, and Exabeam, five of the biggest SIEM players are embracing VMware in endpoint security, saying, Carbon Black is who we want to work with. Nobody else has that type of partnership, so build, partner, and then buy. But buy is always very carefully thought through, we're not one of these companies like CA of the past that just bought every company and then it becomes a graveyard of dead acquisition. Our view is we're very disciplined about how we think about acquisition. Acquisitions for us are often the last resort, because we'd prefer to build and partner. But sometimes for time-to-market reasons, we acquire, and when we acquire, it's thoughtful, it's well-organized within VMware, and we take care of our people, 'cause we want, I mean listen, why do acquisitions fail? Because the good people leave. So we're excited about this team, the team in Israel, and the team in Palo Alto, they come from Octarine. We're going to integrate them rapidly into the platform, and this is a good evidence of VMware investing more in security, and our Q3 earnings pulled, John, I said, sorry, we said that the security business was a billion dollar business at VMware already, primarily from network, but some from endpoint. This is evidence of us putting more fuel behind that fire. It's only been six, seven months and Patrick's made his first acquisition inside Carbon Black, so you're going to see us investing more in security, it's an important priority for the company, and I expect us to be a very prominent player in these three pillars, network security, endpoint security, endpoint is both client and the workload, and cloud. Network, endpoint, cloud, they are the three areas where we think there's lots of room for innovation in security. >> Well, we'll be watching, we'll be reporting and analyzing the moves. Great playbook, by the way. Love that organic partnering and then key acquisitions which you build around, it's a great playbook, I think it's very relevant for this time. The most important question I have to ask you, Sanjay, and this is a personal question, because you're the leader of VMware, I noticed that, we all know you're into music, you've been putting music online, kind of a virtual band. You've also hired a CUBE alumni, Victoria Verango from McAfee who also puts up music, you've got some musicians, but you kind of know how to do the digital moves there, so the question is, will the music at VMworld this year be virtual? >> Oh, man. Victoria is actually an even better musician than me. I'm excited about his marketing gifts, but I'm also excited to watch him. But yeah, you've heard him sing, he's got a voice that's somewhat similar to Sting, so we, just for fun, in our Diwali, which is an Indian celebration last year, Tom Corn, myself, and a wonderful lady named Divya, who's got a beautiful voice, had sung a song, which was off the soundtrack of the Bollywood movie, "Secret Superstar," and we just for fun decided to record that in our three separate homes, and put that out on YouTube. You can listen, it's just a two or three-minute run, and it kind of went a little bit viral. And I was thinking to myself, hey, if this is one way by which we can let the VMware community know that, hey, you know what, art conquers COVID-19, you can do music even socially distant, and bring out the spirit of VMware, which is community. So we might build on that idea, Victoria and I were talking about that last night and saying, hey, maybe we do a virtual music kind of concert of maybe 10 or 15 or 20 voices in the various different countries. Record piece of a song and music and put it out there. I think these are just ways by which we're having fun in a virtual setting where people get to see a different side of VMware where, and the intent here, we're all amateurs, John, we're not like great. There are going to be mistakes in this music. If you listen to that audio, it sounds a little tinny, 'cause we're recording it off our iPhone and our iPad microphone. But we'll do the best we can, the point is just to show the human spirit and to show that we care, and at the end of the day, see, the COVID-19 virus has no prejudice on color of skin, or nationality, or ethnicity. It's affecting the whole world. We all went into the tunnel at different times, we will come out of this tunnel together and we will be a stronger human fabric when we're done with this, We shall absolutely overcome. >> Sanjay, give us a quick update to end the segment on your thoughts around VMworld. It's one of the biggest events, we look forward to it. It's the only even left standing that theCUBE's been to every year of theCUBE's existence, we're looking forward to being part of theCUBE virtual. It's been announced it's virtual. What are some of the thinking going on at the highest levels within the VMware community around how you're going to handle VMworld this year? >> Listen, when we began to think about it, we had to obviously give our customers and folks enough notice, so we didn't want to just spring that sometime this summer. So we decided to think through it carefully. I asked Robin, our CMO, to talk to many of the other CMOs in the industry. Good news is all of these are friends of ours, Amazon, Microsoft, Google, Salesforce, Adobe, and even some smaller companies, IBM did theirs. And if they were in the first half of the year, they had to go virtual 'cause we're sheltered in place, and IBM did theirs, Okta did theirs, and we began to watch how they were doing this. We're kind of in the second half, because we were August, September, and we just sensed a lot of hesitancy from our customers that wanted to get on a plane to come here, and even if we got just 500, 1,000, a few thousand, it wasn't going to be the same and there would always be that sort of, even if we were getting back to that, some worry, so we figured we'd do something that might be semi-digital, and we may have some people that roam, but the bulk of it is going to be digital, and we changed the dates to be a little later. I think it's September 20th to 29th. Right now it's all public now, we announced that, and we're going to make it a great program. In some senses like we're becoming TV producer. I told our team we got to be like Disney or ESPN or whoever your favorite show is, YouTube, and produce a really good several-hour program that has got a different way in which digital content is provided, smaller snippets, very interesting speakers, great brand names, make the content clear, crisp and compelling. And if we do that, this will be, I don't know, maybe it's the new norm for some period of time, or it might be forever, I don't know. >> John: We're all learning. >> In the past we had huge conferences that were busting 50, 70, 100,000 and then after the dot-com era, those all shrunk, they're like smaller conferences, and now with advent of companies like Amazon and Salesforce, we have huge events that, like VMworld, are big events. We may move to a environment that's a lot more digital, I don't know what the future of in-presence physical conferences are, but we, like others, we're working with AWS in terms of their future with Reinvent, what Microsoft's doing with Ignite, what Google's doing with Next, what Salesforce's going to do with Dreamforce, all those four companies are good partners of ours. We'll study theirs, we'll work together as a community, the CMOs of all those companies, and we'll come together with something that's a very good digital experience for our customers, that's really what counts. Today I did a webinar with a partner. Typically when we did a briefing in our briefing center, 20 people came. There're 100 people attending this, I got a lot more participation in this QBR that I did with this SI partner, one of the top SIs in the world, in an online session with them, than would I have gotten if they'd all come to Palo Alto. That's goodness. Should we take the best of that world and some physical presence? Maybe in the future, we'll see how it goes. >> Content quality. You know, you know content. Content quality drives everything online, good engagement creates community, that's a nice flywheel. I think you guys will figure it out, you've got a lot of great minds there, and of course, theCUBE virtual will be helping out as we can, and we're rethinking things too-- >> We count on that, John-- >> We're going to be open minded to new ideas, and, hey, whatever's the best content we can deliver, whether it's CUBE, or with you guys, or whoever, we're looking forward to it. Sanjay, thanks for spending the time on this CUBE Keynote coverage of AWS Summit. Since it's digital we can do longer programs, we can do more diverse content. We got great customer practitioners coming up, talking about their journey, their innovation strategies. Sanjay Poonen, COO of VMware, thank you for taking your precious time out of your day today. >> Thank you, John, always a pleasure. >> Thank you. Okay, more CUBE, virtual CUBE digital coverage of AWS Summit 2020, theCUBE.net is we're streaming, and of course, tons of videos on innovation, DevOps, and more, scaling cloud, scaling on-premise hybrid cloud, and more. We got great interviews coming up, stay with us our all-day coverage. I'm John Furrier, thanks for watching. (upbeat music)

>> Announcer: From the CUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Welcome to this special CUBE conversation. I'm John Furrier here in Palo Alto, California. In our remote studio, we have a quarantine crew here during this COVID-19 crisis. Here talking about the crisis and the impact to business and overall work. Joined by a great guest Dustin Kirkland, CUBE alumni, who's now the chief product officer at Apex Clearing. This COVID-19 has really demonstrated to the mainstream world stage, not just inside the industry that we've been covering for many, many years, that the idea of at-scale means something completely different, and certainly DevOps and Agile is going mainstream to survive, and people are realizing that now. No better guest than have Dustin join us, who's had experiences in open source. He's worked across the industry from Ubuntu, Open Stack, Kubernetes, Google, Canonical. Dustin, welcome back to the CUBE here remotely. Looking good. >> Yeah, yeah, thanks, John. Last time we talked, I was in the studio, and here we are talking over the internet. This is a lot of fun. >> Well, I really appreciate it. I know you've been in your new role since September. A lot's changed, but one of the things why I wanted to talk with you is because you and I have talked many times around DevOps. This has been the industry conversation. We've been inside the ropes. Now you're starting to see, with this new scale of work-at-home forcing all kinds of new pressure points, giving people the realization that the entire life with digital and with technology can be different, doesn't have to be augmented with their existing life. It's a full-on technology driven impact, and I think a lot of people are learning that, and certainly, healthcare and finance are two areas, in particular, that are impacted heavily. Obviously, people are worried about the economy, and we're worried about people's lives. These are two major areas, but even outside that, there's new entrepreneurs right now that I know who are working on new ventures. You're seeing people working on new solutions. This is kind of bringing the DevOps concept to areas that quite frankly weren't there. I want to get your thoughts and reaction to that. >> Yeah, without a doubt, I mean, the whole world has changed in 30 short days. We knew something was amiss in China. We knew that there was a lot of danger for people. The danger for business, though, didn't become apparent until vast swathes of the work force got sent home. And there's a number of businesses and industries that are coping relatively well with this. Certainly those who have previously adopted, or have experienced, doing work remotely, doing business by video, teleconference, having resources in the cloud, having people and expertise who are able to continue working at nearly 100% capacity in 100% remote environments. There's a lot of technology behind that, and there are some industries, and in particular, some firms, some organizations, that were really adept and were able to make that shift almost overnight. Maybe there were a couple bumps along the way, some VPN settings needed to be tweaked, and Zoom settings needed to be changed a little bit, but for many, this was a relatively smooth transition, and we may be doing this for a very long time. >> Yeah, I want to get your thoughts, before we get into some of the product stuff that you guys are working on and some other things. What's your general reaction to people in your circles, inside industry and tech industry, and outside, what are you seeing a reaction to this new scale, work from home, social distancing, isolation, what are your observations? >> Yeah, you know, I think we're in for a long haul. This is going to be the new normal for quite some time. I think it's super important to check on the people you care about, and before we get into dev and tech, check on the people you care about, especially people who either aren't yet respecting the social distancing norms and impress upon them the importance that, hey, this is about you, this is about the people you care about, it's about people you don't even know, because there are plenty of people who can carry this and not even know. So definitely check on the people that you care about. And reach out to those people and stay in touch. We all need one another more than ever, right? I manage a team, and it's super important, I think, to understand how much stress everyone is under. I've got over a dozen people that report to me. Most of them have kids and families. We start out our weekly staff meeting now, and we bring the kids in. They're curious, they want to know what's going on. First five, 10 minutes of our meeting is meet the family. And that demystifies some of what we're doing, and actually keeps the other 50 minutes of the meeting pretty quiet in our experience. But it's really humanized an aspect of work from home that's always been a bit taboo. We laugh about the reporter in Korea whose kid and his wife came in during the middle of a live on-air interview. There's certainly, I've worked from home for almost 12 years, like, those are really uncomfortable situations. Until about a month ago, when that just became the norm. And from that perspective, I think there's a humanization that we're far more understanding of people who work from home now than ever before. >> It's funny, I've heard people say, you know, my wife didn't know what I did until I started working at home. And comments to seeing people's family, and saying, wow, that's awesome, and just bringing a personal connection, not just this software mechanism that connects people for some meeting, and we've all been on those meetings. They go long, and you're sitting there, and you're turning the camera off so you can sneeze. All those things are happening. But when you start to think about, beyond it being a software mechanism, that it's a social equation right now. People have shared experiences. It's been an interesting time. >> Yeah, and just sharing those experiences. We do a think internal on our Slack channel every day. We try to post a picture. We call it hashtag recess, and at recess we take a picture of walking the dogs, or playing with the kids, or gardening, or whatever it is, going for a run. Again, just trying to make the best of this, take advantage of, you know, it's hard working from home, but trying to take advantage of some of those once in a lifetime opportunities we have here. And my team has started pub quiz on Fridays, so we're mostly spread across, in the U.S., so we're able to do this at a reasonable hour, but the last couple of Fridays, we've jumped on a Zoom, downloaded a pub trivia game, most of us a crack a beer, or glass of wine, or a cocktail, and you know, it's just, it actually puts a punctuate mark on the end of the week, puts a period on the end of the week. Because that's the other thing about this, man, if you don't have some boundaries, it's easy to go from an eight or nine hour normal day to 10, 12, 14, 16 hour days, Saturday bleeds into Sunday bleeds into Monday, and then the rat race takes over. >> You got to get the exercise. You have a routine. That's my experience. What's your advice for people who are working at home for the first time? Do you have any best practices? >> I actually had a blog post on this about two weeks ago and put up almost a shopping list of some of the things that I've assembled here in the work from home environment. It's something I've been doing since 2008, so it's been there for a good long while. It's a little bit hard to accumulate all the technology that you need, but I would say, most important, have a space, some kind of space. Some people have more room or less, but even just a corner in a master bedroom with a standup desk, some space that is your own, that the family understands and respects. The other best practice is set some time boundaries. I like to start my day early. I'll try to break more a little bit for that recess, see the family some, and then knock off at a reasonable hour, so establish those boundaries. Yeah, I've got a bunch of tips in that blog post I can shoot you after this, but it's the sort of thing that, be a bit understanding, too, of other people in this situation for the first time, perhaps. So you know, offer whatever help and assistance you can, and be understanding that, man, things just aren't like they used to be. >> That's great advice. Thanks for the insights. Want to get to something that I see happening, and this always kind of happens when you see these waves where there's a downturn, or there's some sort of an event. In this case it's catastrophic in the way it vectored in like this and the impact that we just discussed. But what comes out of it is creativity around entrepreneurial activity, and certainly reinvention, businesses reforming, retrenching, resetting, whatever word, pivot, digital transformation, there's plenty of words for it. But this is the time where people can actually get a lot done. I always comment, in my last interview I did, you know, Shakespeare wrote Macbeth when he was sheltering in place, and Isaac Newton invented calculus, so you can actually get some work done. And you're starting to see people look at the new technology and start disrupting old incumbent markets, because now more than ever, things are exposed. The opportunity of recognition becomes clearer. So I wanted to get your thoughts on this. You're a product person, you've got a lot of product management skills, and you're currently taking this DevOps to financial market with fintech and your business, so you're applying known principles and software and tech and disrupting an existing industry. I think this is going to be a common trend for the next five years. >> Yeah, so on that first note, I think you're exactly right. There will be a reckoning, and there will be a ton of opportunities that come out of this for the already or the rapidly transformed digital native, digital focused business. There will be some that survive and thrive here. I think you're seeing a lot of this with the popularity of Zoom that has spiked recently. I think you're going to see technologies like DocuSign being used in places that, some of those places that still require wet signatures, but you just can't get to the notary and sign a, I don't know, a refi on your mortgage or something like that. And so I think you're going to see a bunch of those. The biggest opportunities are really around our education system. I've got two kids at home, and I'm in a pretty forward thinking school district in Austin, Texas, you know, but that's not the norm where our teachers are conducting classes and assignments over Zoom. I've got a kindergartener and a second grader. There's somewhat limits to what they can do with technology. I think you're going to see a lot of entrepreneurial solutions that develop in that space, and that's going to go from K through 12, and then into college. You think about how universities have had to shift and cancel classes, and what's happening with graduation. I've got a six and an eight year old, and I've been told I need to save $200,000 apiece for each of them to go to college, which is just an astounding number, especially to someone like me, who went to an inexpensive public university on a scholarship. Saving that kind of money for college, and just thinking about how much more efficient our education system might be with a lot more digital, a lot more digital education, digital testing and classes, while still maintaining the college experience, what that's going to look like in 10 years. I think we're going to see a lot of changes over these next 18 months to our educational system. >> Dustin, talk about the event dynamics. Physical events don't exist currently. Certainly, when they do come back, they should, and they will, the role of the virtual space is going to be highlighted and new opportunities will emerge. You mentioned education. People learn, not just for school, whether they're kids, whether they're professionals, learning and collaboration, work tools are going to reshape. What's your take on that marketplace, because we got to do virtual events. You can't just replicate a physical event and move it to digital. It's a complex system. >> Yeah, you're talking about an entire industry. We saw the Google Events, Google Next, Google IO, the Microsoft Events, just across the, I'm here in Austin, Texas, all of South by Southwest was canceled, which is just, it's breathtaking. When does that come back, and what does it look like? Is it a year or two or more from now? Events is where I spend my time, and when I get on a plane, and I fly somewhere, I'm usually going to a conference or trade show. Think about the sports industry. People who get on a plane, they go to an NFL game. John, I don't have all the answers, man, but I'm telling you, that entire industry is rapidly, rapidly going to evolve. I hope and pray that one day we're back to a, I can go back to a college football game again. I hope I can sit in a CUBE studio at a CUBE Con or an Open Stack or some other conference again. >> Hey, we should do a rerun, because I was watching the Patriots game last night, Tom Brady beating the Chiefs, October from last year. It was one of the best games of the season, went down to the wire, and I watched it, and I'm like, okay, that's Tom Brady, he's still in the Patriot uniform on the TV. Do we do reruns? This is the question. Right now, there's a big void for the next three months. What do we do? Do we replay the highlights from the CUBE? Do we have physical get togethers with Zoom? What's your take on how people should think about these events? >> Yeah, you know, the reruns only go so far, right? I'm a Texas Aggie, man. I could watch Johnny Football in his prime anytime. But I know what happened, and those games are just not as exciting as something that's a surprise. I'm actually curious about e-sports for the first time. What would it look like to watch a couple of kids who are really good at Madden Football on a Playstation go at it? What would other games that I've never seen look like? In our space, it's a lot more about, I think, podcasts and live content and staying connected and apprised of what's going on, making-- Oh, we locked up there for a second. It's, I think it's going to be really interesting. I'm still following you guys. I certainly see you active on social media. I'm sort of more addicted than ever to the live news, and in fact, I'm ready to start seeing some stuff that doesn't involve COVID-19, so from that perspective, man, keep churning out good content, and good content that's pertinent to the rest of our industry. >> That's great stuff. Well, Dustin, take a minute to explain what you're doing at Apex Clearing, your mission, and what are you guys excited about. >> Yeah, so Apex Clearing, we're a fintech. We're a very forward-focused, digitally-focused fintech. We are well positioned to continue servicing the needs of our clients in this environment. We went fully remote the first week of March, long before it was mandatory, and our business shifted pretty seamlessly. We worked through a couple of hiccups, provisioning extra VPN IP addresses, and upgrading a couple of service plans on some of the softwares, the service we buy, but besides that, our team has done just a marvelous job transitioning to remote. We are in the broker, dealer, and registered advisor space, so we provide the clearing services, which handles stock trades, equity trades, in the back end, and the custodial services. We actually hold, safeguard, the equities that our correspondents, we call our clients correspondents, their retail customers end up holding. So we've been around in our current form since about 2012. This was a retread of a previous company that was bought and retooled as Apex Clearing in 2012. Very shortly after that, we helped Robinhood, Wealthfront, Betterment, a whole bunch of really forward-looking companies reinvent what it meant to buy and sell and trade securities online, and to hold assets in a robo advisor like Betterment. Today, we are definitely well-known, well-respected for how quickly and seamlessly our APIs can be used by our correspondents in building really modern e-banking and e-brokerage experiences. >> So you guys-- >> So that went-- >> Are you guys like a DevOps platform-- >> We're more like software as a service for fintech and brokerage. So our products are largely APIs that our correspondents use their own credentials to interact with, and then using our APIs, they can open accounts, which means get an account number from the systems that allows them to then fund that account, connect via ACH and other bank connectivity platforms, transfer cash into those accounts, and then start conducting trades. Some of our correspondents have that down to a 60-second experience in a mobile app. From a mobile app, you can register for that account, if you need to, take a picture of an IED, have all of that imported, add your tax information, have that account number associated with your banking account, move a couple hundred dollars into that banking account, and then if the stock market's open, start buying and selling stock in that same window. >> Great, well, I wanted to talk about this, because to the earlier bigger picture, I think people are going to be applying DevOps principles, younger entrepreneurs, but also, reborn, if you will, professionals who are old school IT or whatever, moving faster. And you wrote a blog post I want to get your thoughts on. You wrote it on April second. How we've adapted Ubuntu's time-based release cycles to fintech and software as a service. What is that all about? What's the meaning behind this post? You guys are doing something new, unique, or-- >> To this industry and to many of the people around me, even our clients and customers around me, this is a whole new world. They've never seen anything like it. To those of us who have been around Linux, open source, certainly Ubuntu, Open Stack, Kubernetes, it's just standard operating procedures. There's nothing surprising about it, necessarily. But either it's some combination of the financial services world, just the nature of proprietary software, but also the concept of software as a service, SaaS, which is very different than Ubuntu or Kubernetes or Open Stack, which is released software, right. We ship software at the end of an Ubuntu cycle or a Kubernetes cycle. It's very different when you're a software as a service platform, and it's a matter of rolling out to production some changes, and those changes then going live. So, I wrote a post mainly to give some transparency, largely to our clients, our correspondents. We've got a couple hundred customers that use the Apex platform. I've met with many of them in a sort of one-on-many, one-to-one, one-on-many basis, where I'll show up and deliver the product road map, a couple of product managers will come and do a deep dive. Part of what we communicate to those customers is around, now, around our release cycles, and to many of them, it's a foreign concept that they've just never seen or heard before, and so I put together the blog post. We shared it internally, and educated the teams, and it was well-received. We shared it externally privately with a number of customers, and it was well-received, and a couple of them, actually a couple of the Silicon Valley based customers said, hey, why don't you just put this out there on Medium or on your blog or under an Apex banner, because this actually would be really well-received by others in the family, other partners in the family. So I'm happy to kind of dive into a couple of the key principles here, and we can sort of talk through it if you're interested, John. >> Well, I think the main point is you guys have a release cycle that is the speed of open source to SaaS, and fintech, which again, proprietary stuff is slower, monolithic. >> Yeah, the key principle is that we've taken this, and we've made it predictable and transparent, and we commit to these cycles. You know, most people maybe familiar with Ubuntu releasing twice a year, right, April and October, Ubuntu has released every April and October since 2004. I was involved with Ubuntu between 2008 and 2018 as an engineer, an engineering manager, and then a product manager, and eventually a VP of product at Canonical, and that was very much my life for 10 years, oriented around that. In that time, I spent a lot of time around Open Stack, which adopted a very similar model. Open Stack's released every six months, just after the Ubuntu release. A number of the members of the technical team and the committee that formed Open Stack came out of either Ubuntu or Canonical or both, and really helped influence that community. It's actually quite similar in Kubernetes, which developed independent, generally, of Ubuntu. Kubernetes releases on a quarterly basis, about every three months, and again, it's the sort of thing where it's just a cycle. It happens like clockwork every three months. So when I joined Apex and took a look at a number of the needs that we had, our correspondents had, our relationship managers, our sales team, the client-facing people in the organization, one of the biggest items that bubbled straight to the top is our customers wanted more transparency into our road maps, tighter commitments on when we're going to deliver things, and the ability to influence those. And you know what, that's not dissimilar from any product managers plight anywhere in the industry. But what I was able to do is take some of those principles that are common around Ubuntu and Kubernetes and Open Stack, which by the way, are quite familiar. We use a lot of Ubuntu and Kubernetes inside of Apex, and many of our correspondents are quite familiar with those cycles, but they'd never really seen or heard of a software as a service, a SaaS vendor, using something like that. So that's what's new. >> You've got some cycles going now. You've got schedules, so just looking here, just to get this out there, 'cause I think it's data. You did it last year in October, November, mid-cycle in January of this year. You've got a couple summits coming up? >> Yeah, that's right, we've broken it down into three cycles per year, three 16-week cycles per year. So it's a little bit more frequent than the twice a year Ubuntu, not quite as frenetic as the quarterly Kubernetes cycles. 16 weeks time three is 48. That leaves us four weeks of slack, really to handle Thanksgiving and Christmas and end of year holidays, Chinese New Year, whatever might come up. I'll tell you from experience, that's always been a struggle in the Ubuntu and Open Stack and Kubernetes world, it's hard to plan around those cycles, so what we've done here is we've actually just allocated four weeks of a slush fund to take care of that. We're at three 16-week cycles per year. We version them according to the year and then an iterator. So 20A, 20B, 20C are our three cycles in 2020, and we'll do 21A, B, and C next year. Each of those cycles has three summits. So to your point about we get together, back in the before everyone stopped traveling, we very much enjoyed twice a year getting together for CUBE con. We very much enjoyed the Open Stack summits and the various Ubuntu summits. Inside of a small company like ours, these were physical. We'd get together in Dallas or New York or Chicago or Portland, which is the four places we have offices. We were doing that basically every six weeks or so for one of these summits. Now they're all virtual. We handle them over Zoom. When they were physical, we'd do the summit in about three days of packed agendas, Tuesday, Wednesday, Thursday. Now that we've gone to virtual, we've actually spread it a little bit thinner across the week, and so we've done, we've poked some holes in the day, which has been an interesting learning experience, and I think we're all much happier with the most recent summit we did, spreading it over the course of the week, accounting for time zones, giving ourself, everyone, lunch breaks and stuff. >> Well, we'll have to keep checking in. I want to certainly collaborate with you on the virtual digital, check your progress. We're all learning, and iterating, if you will, on the value that you can do with these digital ones. Try to get that success with physical, not always easy. Appreciate, and you're looking good, looking good and safe. Stay safe, and great to check in with you, and congratulations on the new opportunity. >> Yeah, thanks, John. >> Appreciate it. Dustin Kirkland, chief product officer at Apex Clearing. I'm John Furrier with the CUBE, checking in with a remote interview during this time when we are getting all the information of best practices on how to deal with this new at-scale, the new shift that is digital, that is impacting, and opportunities are there, certainly a lot of challenges, and hopefully, the healthcare, the finance, and the business models of these companies can continue and get back to work soon. But certainly, the people are still sheltered in place, working hard, being creative, be the coverage here in the CUBE. I'm John Furrier, thanks for watching. (bright electronic music)

>> Narrator: From theCUBE studios in Palo Alto and Boston connecting with thought leaders all around the world, this is a CUBE conversation. >> Hello everyone, welcome to this CUBE conversation here in the Palo Alto studios for theCUBE. I'm John Furrier, the host. We're here during this time where everyone's sheltering in place during the COVID-19 crisis. We're getting the interviews out and getting the stories that matter for you. It's theCUBE's mission just to share and extract the data from, signal from the noise, and share that with you. Of course the conversation here is about how the data analytics are being used. We have a great friend and CUBE alum, Bruno Kurtic, VP, founding VP of Product and Strategy for Sumo Logic, a leader in analytics. We've been following you guys, kind of going back I think many, many years, around big data, now with AI and machine learning. You guys are an industry leader. Bruno, thanks for spending the time to come on theCUBE, I know you're sheltering in place. Thanks for coming on. >> You're welcome, pleasure. >> Obviously with the crisis, the work at home has really highlighted the at-scale problem, right? We've been having many conversations on theCUBE of cybersecurity at scale, because now the endpoint protection business has been exploding, literally, a lot of pressure of malware. A convenient crime time for those hackers. You're starting to see cloud failure. Google had 18 hours of downtime. Azure's got some downtime. I think Amazon's the only one that haven't had any downtime. But everything is being at scale now, because the new work environment is actually putting pressure on the industry, not only just the financial pressure of people losing their jobs or the hiring freezes, but now the focus is staying in business and getting through this. But the pressure points of scale are starting to show. And working at home is one of them. Analytics has become a big part of it. Can you share your perspective of how people using analytics to get through this, because now the scale of the problem-solving is there with analytics. It's in charts on the virus, exponential curves, people want to know the impact of their business in all this. What's your view on this situation? >> Yeah. The world has changed so quickly. Analytics has always been important. But there are really two aspects of analytics that are important right now. A lot of our enterprises today, obviously, as you said, are switching to this sort of remote workforce. Everybody who was local is now remote, so, people are working from home. That is putting stress on the systems that support that working from home. It's putting stress on infrastructure, things like VPNs and networks and things like that because they're carrying more bits and bytes. It's putting stress on productivity tools, things like cloud provider tools, things like Office 365, and Google Drive, and Salesforce, and other things that are now being leveraged more and more as people are remote. Enterprises are leveraging analytics to optimize and to ensure that they can facilitate course of business, understand where their issues are, understand where their failures are, internal and external, route traffic appropriately to make sure that they can actually do the business they need. But that's only half of the problem. In fact, I think the other half of the problem is maybe even bigger. We as humans are no longer able to go out. We're not supposed to, and able to go shopping and doing things as we normally do, so all of these enterprises are not only working remotely, leveraging productivity tools and quote-unquote "digital technologies" to do work. They're also serving more customers through their digital properties. And so their sites, their apps, their retail stores online, and all of the digital aspects of enterprises today are under more load because consumers and customers are leveraging those channels more. People are getting groceries delivered at home, pharmaceuticals delivered at home. Everything is going through online systems rather than us going to Walgreens and other places to pick things up. Both of those aspects of scale and security are important. Analytics is important in both figuring out how do you serve your customers effectively, and how do you secure those sites. Because now that there's more load, there's more people, and it's a bigger honeypot. And then also, how do you actually do your own business to support that in a digital world? >> Bruno, that's a great point. I just want to reiterate that the role of data in all this is really fundamental and clear, the value that you can get out of the data. Now, you and I, we've had many conversations with you guys over the years. For all of us insiders, we all know this already. Data analytics, everyone's instrumenting their business. But now when you see real-life examples of death and destruction, I mean, I was reporting yesterday that leaked emails from the CDC in the United States showed that in January, they saw that people didn't have fevers with COVID-19. The system was lagging. There was no real-time notifications. This is our world. We've been living in this for this past decade, in the big data world. This is highlighting a global problem, that with notifications, with the right use of data, is a real game-changer. You couldn't get any more clear. I have to ask you, with all this kind of revelations, and I don't mean to be all gloom-and-doom, but that's the reality, highlights the fact that instrumenting and having the data analytics is a must-have. Can you share your reaction to that? >> Yeah, absolutely. You're right. Like you said, we are insiders here, and we've been espousing this world of what we internally in Sumo call the continuous intelligence, which essentially means to us and to our customers, that you collect and process all signals that are available to you as a business, as a government, as a whatever entity that is dealing with critical things. You need to process all of that data as quickly as you can. You need to mine it for insights. You need to, in an agile fashion, just like software development, you need to consume those insights, build them into your processes to improve, to react, to respond quickly, and then deliver better outcomes. The sooner you understand what the data is telling you, the sooner you can actually respond to whatever that data is telling you, and actually avoid bad outcomes, improve good outcomes, and overall, react to whatever is forcing you to react. >> I was just talking with Dave Vellante last week about this, my co-host, and also Jeff Frick, my general manager, who interviewed you in the past on theCUBE, about the transition and transformation that's happening. I want to just get your reaction to what we're seeing, and I wanted to get your thoughts on it. There's transitions and there's transformations. Yeah, we've been kind of in this data transition around analytics. You pointed out, as insiders, we've been pointing this out for years. But I think now there's more of a transformative component to this. I think it's becoming clear to everyone the role of data, and you've laid out some good things there. Now I want to ask you, on this transformation. Do you agree with it, and if you do, how does that change the roles? Because if I'm going to react to this as a business, whether small, medium, and large business, large enterprise or government, I now realize that the old world's over. I need to get to the new way. That means new roles, new responsibilities, new outcomes, new ways to measure. Can you share your thoughts on that? Do you agree with the transformation, and two, what are some of those new role changes? How should a business manager or technologist make that transformation? >> Yeah. If it was ever more clear, getting a switch, or a transformation as you say, from the old way we did business and we did technology to the new way, is only being highlighted by this crisis. If you are an enterprise, and you are trying to do everything yourself, running your own IT stacks and all of that, it is clear today that it is much more difficult to do that than if you were leveraging next generation technologies: clouds, SaaS, PaaS, and other things, because it is hard to get people even to work. I think if we have ever been in a place where this sort of transformation is a must, not a slow choice or an evolution, it is now. Because enterprises who have done that, who have done that already, are now at an advantage. I think this is a critical moment in time for us all as we all wake up to this new reality. It is not to say that enterprises are going to be switched over after this specific crisis, but what's going to happen, I believe, is that, I think the philosophies are going to change, enterprises are going to think of this as the new normal. They're going to think about, "Hey, if I don't have the data "about my business, about my customers, "about my infrastructure, about my systems, "I won't be able to respond to the next one." Because right now there's a lot of plugging the holes in the dam with fingers and toes, but we are going to need to be ready for this, because if you think about what this particular pandemic means, this isn't going to end in April or May. Because without a treatment, or without a vaccination, it's going to continue to resurface. Unless we eradicate the entire population of the virus, any new incident is going to start up like a small flare-up, and that is going to continue to bring us back into the situation. Over this time, we're going to have to continue to respond to this crisis as we are, and we need to plan for the future ones like this. That might not be a pandemic type of crisis. It could be a change in the business. It could be other types of world events, whatever it might be. But I think this is the time when enterprises are going to start adopting these types of procedures and technologies to be able to respond. >> It's interesting, Bruno, you bring up some good points. I think about all the conversations that I've had over the years with pros around "disaster recovery" and continuous operations. This is a different vector of what that means, because when you highlighted earlier, IT, it's not like a hurricane or a power outage. This is a different kind of disruption. We talked about scale. What are some of the things that you're seeing right now that businesses are being faced with, that you guys are seeing in the analytics, or use cases that have emerged from this new normal that is facing today's business with this crisis. What's changed? What is this new challenge? When you think about the business continuity and how continuous operations need to be sustained because, again, it's a different vector. It's not a blackout, it's not a hurricane. It's a different kind of disruption. It's one where the business needs to stay on more than ever. >> Yep. Correct. True. What's really interesting, and there are some relatively straightforward use cases that we're seeing. People are dealing with their authentication, VPN network issues, because everybody is low on bandwidth. Everybody is, all of these systems are at their breaking point because they're carrying more than they ever did. These are use cases that existed all along. The problem with the use cases that existed all along is that they've been slowly picking up and growing. This is the discontinuity right now. What's happened right now, all of a sudden you've got double, triple, quadruple the load, and you need to both scale up your infrastructure, scale up your monitoring, be much more vigilant about that monitoring, speed up your recovery because more is at stake, and all of those things. That's the generic use case that existed all along, but have not been in this disruptive type of operating environment. Second is, enterprises are now learning very quickly what they need to do in terms of scaling and monitoring their production, customer-facing infrastructure, what used to be in the data center, the three-tier world, adding a few notes to an application, to your website over time, worked. Right now everybody is realizing that this whole bent on building our microservices, building for scale, rearchitecting and all that stuff, so that you can respond to an instantaneous burst of traffic on your site. You want to capture that traffic, because it means revenue. If you don't capture it, you miss out on it, and then customers go elsewhere, and never come back, and all that stuff. A lot of the work loads are to ensure that the systems, the mission-critical systems, are up and running. It's all about monitoring real-time telemetry, accelerating root cause analysis across systems that are cloud systems, and so on. >> It's a great point. You actually were leading into my next question I wanted to ask you. You know, the old saying goes, "Preparation meets opportunity. Those are the lucky ones." Luck is never really there. You're prepared, and opportunity. Can you talk about those people that have been prepared, that are doing it right now, or who are actually getting through this? What does preparation look like? What's that opportunity? Who's not prepared? Who's hurting the most? Who's suffering, and what could they do differently? Are you seeing any patterns out there, that people, they did their work, they're cloud native, they're scaled out, or they have auto-scaling. What are some of the things where people were prepared, and could you describe that, and on the other side where people weren't prepared, and they're hurting. Can you describe those two environments? >> Sure. Yeah. You think about the spectrum of companies that are going through digital transformation. There are companies who are on the left side. I don't know whether I'm mirroring or not. Basically, on the left side are people who are just making that transformation and moving to serving customers digitally, and on the right side are the ones that are basically all in, already there, and have been building modern architectures to support that type of transformation. The ones that are already all the way on the right, companies like us, right? We've been in this business forever. We serve customers who are early adopters of digital, so we've had to deal with things like November 6th, primary elections, and all of our media and entertainment customers who were spiking. Or we have to deal with companies that do sporting events like World Cup or Super Bowl and things like that. We knew that our business was going to always demand of us to be able to respond to both scheduled and unscheduled disruptions, and we needed to build systems that can scale to that without many human interactions. And there are many of our customers, and companies who are in that position today, who are actually able to do business and are now thriving, because they are the ones capturing market share at this point in time. The people who are struggling are people who have not yet made it to that full transformation, people who, essentially, assume business as normal, who are maybe beginning that transformation, but don't have the know-how, or the architecture, or the technology yet to support it. Their customers are coming to them through their new digital channels, but those digital channels struggle. You'll see this, more often than not you're going to find these still running in a traditional data center than in the cloud. Sometimes they're running in the cloud where they've done just a regular lift-and-shift instead of rearchitecting and things like that. There's really a spectrum, and it's really funny and amazing how much it maps to the journey in digital transformation, and how this specific thing is essentially, what's happening right now, it looks like the business environment demands everybody to be fully digital, but not everybody is. Effectively, the ones that are not are struggling more than the ones that are. >> Yeah. Certainly, we're seeing with theCUBE, with the digital events happening on our side, all events are canceled, so they've got to move online. You can't just take a physical, old way of doing something, where there's content value, and moving it to digital. It's a whole different ball game. There's different roles, there's different responsibilities. It's a completely different set of things. That's putting pressure on all these teams, and that's just one use case. You're seeing it in IT, you're seeing it happen in marketing and sales, how people are doing business. This is going to be very, very key for these companies. The data will be, ultimately, the key. You guys are doing a great job. I do want to get to the news, and I want to get the plug in for Sumo Logic. I want to say congratulations to you guys. A press release went out today from Sumo Logic. You guys are offering free cloud-based data analytics to support work from home and online classroom environments. That's great news. Can you just share and give a plug for that, PSA? >> Sure! We basically have a lot of customers who, just like us, are now starting to work from home. As soon as this began, we got inbound demands saying, "Oh, could you get, do you have an application for this, "do you have some analytics for that, "things that support our work from home." We thought hey, why don't we just make this as a package, and actually build out-of-the-box solutions that can support people who have common working from home technologies that they used to use for 10% of their workforce, and now work for 100% of their workforce. Let's package those, let's push those out. Let's support educational institutions who are now struggling. I have two kids in here who are learning. Everything is online, right? We had to get another computer for them and all this stuff. They're younger, they're in fourth grade. They are doing this, I can see personally how the schools are struggling, how they're trying to learn this whole new model. They need to have their systems be reliable and resilient, and this is not just elementaries, but middle school, high schools, colleges have all expanded their on-premise teaching. So we said, "Okay. Let's do something to help the community "with what we do best." Which is, we can help them make sure that the things that they do, that they need to do for this remote workforce, remote learning, whatever it might be, is efficient, working, and secure. We packaged several bundles of these solutions and offered those for free for a while, so that both our customers, and non-customers, and educational institutions have something they can go and reach for when they are struggling to keep their systems up and running. >> Yeah, it's also a mindset change, too. They want comfort. They want to have a partner. I think that's great that you guys are doing for the community. Can you just give some color commentary on how this all went down? Did you guys have a huddle in your room, said, "Hey, this is a part of our business. "We could really package this up "and really push it out and help people." Is that how it all came together? Can you share some inside commentary on how this all went down and what happened? >> Yeah. Basically, we had a discussion, literally, I think, the first or the second day when we all were sent home. We got on our online meeting and sat down, and essentially learned about this inbound demand from our customers, and what they were looking to do. We were like, "Okay, why don't we, "why don't we just offer this? "Why don't we package it?" It was a cross-functional team that just sat there. It was a no-brainer. Nobody was agonizing over doing this for free or anything like that. We were just sitting there thinking, "What can we do? "Right now is the time for us to all "pull each other up and help each other. "It'll all sort itself out afterwards." >> You know, during the bubonic plague, Shakespeare wrote Macbeth during that time. You guys are being creative during this time, as the coronavirus, so props to you guys at Sumo Logic. Congratulations, and thanks for taking the time. Can you give some parting thoughts on it, for the folks who are working at home? Just some motivational inspiration from you guys? What's going to come next for you guys? >> Sure. And thank you for having me on this video. I would say that we have been making slow transition towards remote workforce as it is. In a lot of places around the world, it's not that easy to make it to an office. Traffic is getting worse, big centers are getting populated, real estate is getting more expensive, all of this stuff. I think, actually, this is an opportunity for enterprises, for companies, and for people to figure out how this is done. We can actually practice now. We're forced to practice. It might actually have positive impact on all industries. We are going to probably figure out how to travel less, probably figure out how to actually do this more effectively, the cost of doing business is going to go down, ability to actually find new jobs might broaden, because you might be able to actually find jobs at companies who never thought they could do this remotely, and now are willing to hire remote workforces and people. I think this is going to be all good for us in the end. Right now it feels painful, and everybody's scared, and all that stuff, but I think long term, both the transformation into digitally serving our customers and the transformation towards remote workforce is going to be good for business. >> Yeah. It takes a community, and we really appreciate the effort you guys make, making that free for people, the classrooms. Remember, Isaac Newton discovered gravity and calculus while sheltering in place. A lot of interesting, new things are going to happen. I appreciate it. >> Bruno: Absolutely. >> Bruno, thank you for taking the time and sharing your insights from your place, sheltering. I made a visit into the studio to get this interview and a variety of other interviews we're doing digitally here. Thanks for sharing. Appreciate your time. >> Thank you. Appreciate you as well. >> I'm John Furrier with theCUBE here. CUBE conversation with Bruno from Sumo Logic sharing his perspective on the COVID-19. The impact, the disruption and path to the future out of this, and the new normal that is going to change our lives. Thanks for watching.

>>live from Boston, Massachusetts. It's the Q covering I. F s World Conference 2019. Brought to you by I. F. S. >>Welcome back to Boston, everybody. You're watching The Cube. The leader in live tech coverage is Day one coverage of the I. F s World Conference. Darren Russo's here is the CEO of F S Darren. Thanks for coming back in the Cube. Great TV again. So last year was your first year. He was kind of laid out your vision at the World Conference. How's progress? >>Yeah, Look, it's going incredibly well. We were really focused on how we go from being a pretty fragment of global business to being, you know, an integrated business where we were able to operate. You know, its scale globally in a very homogenous way, where the customer experience was the same, irrespective where they engaged with us. And, you know, we've made a tremendous amount of progress with it, So you know, the business is growing really strongly. Net revenues up 22% year on year. I lost its revenues up 40% year on year are clouds up in the triple digits, so you know it's tough to be critical of how it's going so far. >>That's great, Great. You're growing faster than your peers. I think the stat was you gave us three Ex factory except in the industry would be awesome. Is that means that your primary benchmark do you want? You want to gain share? You want to go faster than the big whales, I presume. I >>think two things One is customer satisfaction, we believe, is the key indicator of long term success. S O. You know, we're the number one ranked European efforts. Salmon gotten appearance sites. That's that is and always will be my number. One metric. Can we be way the number one from a customer satisfaction perspective? And then I believe the revenue stats will follow and you know that's where we are. So certainly, if you look at our our core peers, the big G R P vendors, all of them are flat on. Dhe were growing 20 ships since >>one of the things you mentioned in your Cube interview last year was one of the things that you wanted to focus on was I'll call regional alignment. Paul and I used to work for I D. G. I worked for I. D. C. You were editor in chief of Computer World. We work for a company, had more offices overseas and IBM, and it was really hard to herd the cats. And that was one of the things that you cited. Have you been able to get people generally poor or at the same time? And how has that affected your business? Yeah. Look, I >>think the big challenge before I arrived was that there wasn't really a strategy of global strategy for the business. My face had a way of working and there was a strong culture, but there wasn't really a strategy. And obviously it's difficult to be critical of people when they not following the strategy when there isn't one s o. You know, Step one was really making sure that we had a strategy on DDE that was really about being focused on the five industries that we focused on, focused on three solutions on dhe focused on the six segments of customer, which is half a 1,000,000,000 to 5 billion. So now, globally, you know, irrespective the office that you go to, um anywhere in the world, they're focused on those five industries they focused on those three solutions and they're focused on their customer segments. So it helps me. P. M >>I said during our preview video video this morning that I've been around this industry as long as I f s has, until last year had never even heard of it. Is that just me being clueless? There's something there >>that we were just saying before we started that we're the definitely the biggest software business you've never heard of. Um, and and and that's common, I think, you know, we were There are a couple of factors. One is that the business was very European centric. Andi didn't really engaged in a tremendous amount of marketing and media prison. So, you know, those are elements that, you know, I think we're doing a better job off now, But we have a long way to go. The challenge that we have is that where we compete, we win when we get in and were able to tell our story, and we're able to show the value we win. We just don't get into as many deals as we need to. And that's the challenge we have. >>Yeah, there was a lot of talk this morning about the importance of those five pillars of those five industries. If you're going to become the next S A P, you're gonna have to branch out beyond that. What is your thinking about diversify >>becoming the next? They say he is definitely not my ambition, You know, I think way remain focused on customer satisfaction. And, you know, I think that there's a there's a difference. Whatever it is leading them, it's not customer satisfaction. You worked >>there for four years. >>I worked there for four years. I know. I think the big thing for me is is that we've got to stay focused on their customer voice. They focused on what delivers value for our customers beyond just the rhetoric and hyperbole. You know, I think when you when you listen to a lot of the complexity that our customers are facing today, any customers are facing. Companies are facing increasingly disruptive times, and the tech industry is making life more difficult for them. The more best of breed solutions get both. The more fragments that potential the landscape is, the more complex it becomes for customers if they have to try and figure out. How do we integrate these things and derive value from this highly fragmented landscape? So you know, we're trying to solve that problem. How do we make it easier for customers to challenge in their industry? And that's where this whole for the challenges has check comes from. How do we help him to be disruptive in their industry? Have competitive advantage? >>That seems to be a sort of a fundamentally different thing about your approach, though. Is this focus on those vertical industry's most e r P companies did not do that. Is that something that is core to your values? >>Look, I >>think what we recognize is that as you move to the cloud, you have to drive to standard. That's just the reality of going to the cloud on what's happening for the horizontal E. R B vendors. So the locks of ASAP and Oracle is that they have one e r P solution that fits every industry. So if it's good for health insurance and it's good for a bank, then it's difficult to really get your head around the fact that it could be good for a defense manufacturer, but the functional requirements is simply vastly different on that means that you have to customize them. If you have to customize that, they can go to the cloud. So what we believe is that you have to have this vertical specialization, the five industries that we serve us all. A lot of commonality in the process is that they use. And that's why that vertical strategy is so key to our success. So you won't see us going into financial service is, or health care or retail worth that core application. We may in time in many years to come branch out. That will be a different solutions. >>So your tailor, that app for that module for that industry, Yes, just go deep, deep functionality. You're known for that, but at the same time you're also messaging. You want your customers to be able to tailor this for their environment. So square that circle for me. >>So I think when we talk about a choice and and I think tailoring is the wrong word, we talk about choice. We're talking about choice of deployments on Prem or in the cloud choice of customer choice of partner, rather who they're going to deploy with on Dhe, then The solution is really an industry solution that comes with that functional death. And we don't we don't advocate their customers customized that all. We really don't want them to customize it. What we explain to them in some detail is that the real value comes from adopting the solution for two standard and staying on a vanilla application. Because that vanilla application, you're going to be able to withstand future upgrades, the total cost of ownership gets lower. The processes that are embedded in that application or best of breed at the box. That's what they're intended to do, and that works when you have a vertical application. When you have a horizontal application and you're trying to have a do things that it shouldn't naturally be doing, that becomes company. >>Well, correct me if I'm wrong, but wasn't that essentially the message ASAP had when it went through? It's hyper growth in the late nineties. I mean, there was a Y two k thing there, too, but ah, lot of the message was around. Do it our way and and then you don't have to get stuck in a rut, >>So I think that when it came out with that generation of application. That certainly was what they had hoped would happen. But what happened in practice is that the system integrators came in and the whole business process reengineering explosion happened on Dhe. That's not how it how it manifested itself. So what you see is, you see, he's very large, monolithic ASAP applications that were customized over in some cases decades, not not. You know, if a customer is deploying for two standard, then they should be able to deploy in a period mission. In weeks, we spoke about our deployment with Racing Point. If one team and going live in 12 weeks, you know, we're a 700 million global business. We deployed a knife s in 24 weeks. You know, if a customer's deploying for two standard, it's measured in weeks. As soon as they start to talk about two years or three years or five years or seven years there, customizing the solution significantly. Yeah, I >>mean, it became just sort of a perpetual upgrade, maintenance and up for the time it had a business impact. But boy, you think a cloud today agility, you know, getting rid of waterfall approaches, Missus. Antithetical to today's Look >>what I don't point fingers here. I think that this just maturity come with experience. The line of business applications you'll see our EMS and your HR solutions have taught people that you can, if you think about this is look at sea. Are Emma's an example? You had Siebel before people would implement stable. They would customize Siebel that would take long implementations. They were highly bespoke applications and then sells. Force came along and just destroyed them, and they destroyed them. Because what people learned very quickly was that there was a really easy to consume, really easy to use application that functionally might be inferior. But the compromises that you'd make from a functionality perspective will weigh, outweighed by their time to value in ease of use. And and the learnings from CR mnh are in procurement. Those line of business applications have now being backed into in the e. R. P >>world. So in terms of capital allocation, you're owned by private equity, which is actually a public company. I'm interested in how you're allocating capital R and D, where you're where your emphasis is. You don't have to you have to do stock buy back, but, you know, describe the P relationship. >>So look, one of my learning's to see survive this is that not all private equity firms or equal they have different strategies are very fortunate to be with Ekiti, who are a growth investor. They're known as a growth investor on dhe, and they buy companies that are strong growth tech firms on dhe. They've been hugely supportive of us investing because they understand that the investment in technology is important. So, you know, just looking at some detail today we invest twice as much in R and D as we did three years ago, just to give you, you know, one data point. So there's a big focus on technology, and the thing is, is that we we have to invest in technology to drive those attributes that are discussed earlier. How do we How do we enable customers to adopt a solution? It's a standard so they can go alive quicker. How do we enable customers to be able to sit down in the front of the application like we do with the mobile phone and intuitively know how to use it? How do we reduce the total cost of ownership through automation. Those are capabilities that you know that they don't come for free. We have to invest in them. So big investments in technology. And >>I think the private equity guys, at least the modern ones, have realized Why should the V. C's have all the fun they realize? Hey, we can actually put some money in tow and the transforming we can have a bigger exit and actually make much better returns than sucking the company drive. Yeah, well, look, I think the other >>thing is is that you know, in public companies, you have the downside off. You know this this courtly metric Ondas quarterly cadence. Andi, you see very compromising decisions being made because you know, people can't afford to miss 1/4. There's no long term planning that's done on dhe. That's fundamentally not the case and the private equity world, you know, not unusual now for four p firms to hold companies for 5678 years on, and that allows you to take a very long term strategic view. If if if a shift from perpetual to subscription is the right thing to happen, they can do that without worrying that, you know, because of the definite earnings are revenue that you're going to get caned by the market next quarter. Andi. I think that that needs to, I think, better decision making for the long term. >>A lot of companies are struggling. >>If you have the right P for because you get bought by the firm of events, you want to go public. But the the you said something this morning that 50% of your customers each year or net knew, How are you pulling that off >>That 50% of our license revenue? Eso way we went about 300 odd new customers a year. Obviously, that's growing, as I said, you know, 40%. But you know, it's ah, I think, having done this for 25 years, there are companies that are or good at extracting revenue from their installed based. One of the analysts here has as a hashtag wallet Fracking is what do you think It's such a great So you know, they're good at Wallick fracking and and I think the customers that that our customers off those vendors know exactly who they are and you know I think that for us to that the fact that we're able to go out and win 50% of our license revenue from net new name customers, I think is a really strong indicator of the health of the business. It's much harder to do than just extracting revenue out of the install base. You know, we don't have a compliance practice. We've never charged a customer for you in direct access. You know, these are principles that we stand by, and it's easier to say that your customer centric on get 80% of your revenue, have your installed base because you're doing compliance rounds. But, you know, we put our money where our mouth is, and that's not that's not how we do it. >>Are these net new customers? Are they? Are they migrating from QuickBooks or they migrating from a Competitors >>know, because of the segment that we're in this half a 1,000,000,000 to 5 billion? I would say the majority of them are what I would call first generation the Rp solution. So you know you're talking about you know, the original generation of Microsoft's acquisitions, the divisions and the eggs actors and the Solomon's and so on on. And then, you know, it's a P R two and our three customers you're talking about customer sitting on, you know, the solutions that in for hoovered up the matrix B picks type customers, ace 400 customers. So they're you know, they're first generation your P solutions that simply don't have the flexibility to deal with the complexity and demands of modern business world. >>From 2009 about 2017 I f. S was pretty inquisitive and then just actually, I was gonna ask you >>when I started, you stopped >>it, right? But then, you know, today you announced an extra small acquisition, But how should we think about M and a >>look? The first year for me was really about trying to build a functional business. You know, we spoke about how fragmented this really hit to Jenna's business. Andi just occurred to me. You know, if we go out and we start to buy things, how do we integrate them into a business that's completely fragments? And you know, it had no identity or culture. So, you know, the last year has been focused on how do we build their common understanding of what it is that we're doing. We now have a very clear strategy. Five industries, three solutions, one segment. And you know, when you when you have that clarity of vision that it's really easy to guard and do him and I because you know what fits and what doesn't fit, you can understand exactly how you're gonna build value for customers on dhe. That's why the S t a deal is so good for us. Because we're now the undisputed leader in field service management, you know, 8000 our customers globally, which is way more than anybody else. Scott, Andi, you know, you should absolutely expect more from us. But it will be in the five industries, three technology segments and one customers. Isaac. >>Well, in the A p I enablement should obviously facility. >>Absolutely. I mean, I was just with a partner of ours now, and they have this amazing augmented reality solution. You know, it will be a combination of off going out there to build market, share a cz well, as finding you know, really innovative solutions that can help us advance the technology that we provide customers. >>You have a new slogan this year for the challengers, which seems to be aimed at companies that that imagine themselves as challenging the Giants, which is great. But if you're not a company that season sees themselves that way. Are the studies level home with I have s Look, >>I I think I was with a group of CEOs from one of the big analyst rooms, and they had the portfolio companies and their private equity firm and analysts that CEOs of the companies are having a conversation with him about digital transformation. And I I made a rather provocative statement which, you know, got unanimous agreement, which is that all of the CEOs there with either in an industry that was being disrupted and we're trying to figure out how they respond to that disruption or they would soon not every job and they all acknowledge that they absolutely fit into that category. In other words, all of them were being disrupted. All of them were facing a challenge. It was kind of like, you know, if it is happening to all of us at a more rapid pace than we have ever had before. So my view is, is that you know if if you're in the room and you're going, you know, if it's might not be for us because we're not a challenger. Yeah, The lights may not be on >>for Long s o double click on that. What role does I s play in terms of digital transformation? >>If I could just hold on there because the thing is, there are leaders in Mama, there challenges. And there are leaders. The leaders typically are gonna go with seif solution. They're gonna go with one of the legacy our peace. So I'm not suggesting that everybody necessarily is a challenger. There are leaders, you know, Nokia was a leader until they weren't because they were complacent. Andi, I think they you know, they didn't run on I office. So, you know, I think there are two segments. There are leaders and there are challenges, and we're there for the ones that are ready to disrupt. Sorry. >>Please clarify that. No. Good. So So get back to it. Sort of digital transformation and disruption. What do you see? Is the role of AARP generally, but specifically I f s. >>Look, I think we digital information. A lot of discussion about it on the stage this morning. I've just touched on it now. I think that it takes very different forms. What most industries are finding is that they're facing a lot of non traditional competition and they're having to innovate around their business models. They can't going to market in the same way as they did before. They're having to innovate because of this non traditional competition. Andi. Understanding your your customer's understanding, your your staff, understanding your supply chain understanding your financials are all critical parts of being able to respond to whatever their changes, and that's where the RP solution comes into it. I think there's an interesting challenge now, which is that as those applications have become more fragmented and you've got more based debris cloud applications Ah, lot of the value often E. R P was that you had this integrated set of applications that you had this one source of the truth andan. Fortunately for many customers today, they don't have that because they've got import all of these best of breed applications and they don't have one source of the truth that multiple invoices made it multiple versions of their customer in the databases. Andi we still stand for a single integrated the r p. So, you know, I think understanding those elements of your businesses key. I was with a customer of ours in Nebraska a short while ago, and they were talking about our existing office customer. They were talking about the steel import duties that were imposed through the trade war with China. And they were saying, Look, that they had been able to respond to that in a way that they had good visibility of the supply chain, who was improved, imposing the tariffs, how they were going to impact them when they were going to impact them. And because they had this integrated Siara AARP. They were able to pass those pricing changes onto their customers, and they survived this. What could have been a cataclysmic event for their business had they not had an integrated your pee? They not being able to have this visibility into the supply chain and the customer base. They may well have gone out of business just because of that one change >>to meet all day and all comes back to the data, putting their putting data at the core of their business. That integrated data pipeline is essentially what they get out of that last question. So thinking about the next 18 to 24 months, what are the milestones that observers should look for? One of the barometers that we should be watching. >>So look, in the next two years, it's it's really about us building incremental scale. We have, ah, four year plan, which I built when I came in. We're halfway through that plan. We've hit all of the metrics and exceeded most the metrics that we had on their plan. It's really continue to focus on the strategy. As I said, we focus on those five industries, continue to build market share, continue to focus on those three solution types and build market share and market dominance on those three solutions. Andi in that segment that I defined before, so no change from a strategy perspective. I think there's really value in the consistency that we bring on on their talk track and, you know, along the way we passed the $1,000,000,000 mark, which we will do, I think, in 2021 organically if we accelerate, some of the money will pass the 1,000,000,000 before, but you know business. The margins continue to expand. We focus on customer satisfaction and, you know, it's a It's a pretty straight, you know, traditional prey book that we have to execute on now. >>Well, congratulations. It's a great playbook, and you're growing very nicely. So love that. Look, we really an honor to the last couple of years. Learn a little bit about the company in your industry. So appreciate meeting you guys. Thank you. All right. And thank you for watching over right back with our next guest. Ready for this short break day Volonte with Paul Gill in. You're watching the Cube from I f s World Conference from Boston 2019 right back.

(funky music) >> Announcer: From our studios in the heart of Silicon Valley, Palo Alto, California, this is a CUBE Conversation. >> Everyone, welcome to this special CUBE Conversation here in Palo Alto, California with CUBE Studios. I'm John Furrier, your host of this CUBE Conversation with Dheeraj Pandey, CEO of Nutanix. CUBE alumni, very special part of our community. Great to see you again, thanks for coming in. We're previewing your big show coming up, Nutanix NEXT in Europe. Thanks for joining me. >> It's an honor. >> It's always great to get you. I saw your interview on Bloomberg with Emily Chang. Kind of short interview, but still, you're putting the message out there. You've been talking software. We covered your show here in North America. Clearly moving to the subscription model, and I want to get into that conversation. I think there's some notable things to talk about now that we're in this cloud 2.0 era, as we're calling it, kind of a goof on web 2.0. But cloud 2.0 is a whole shift happening, and you've been on it for a while. But you got the event coming up in Europe, Nutanix NEXT. What's the focus? Give a quick plug for that event. Let's talk about that. >> Yeah, in fact, the reiteration of the message is a key part of any of our user conferences. We have 14,000 customers around the world now, across 150 countries. We've done almost more than $5 billion worth of just software business in the last six, seven years of selling. It's a billion six run rate. There's a lot going on in the business, but we need to take a step back and in our user conference talk about the vision. So what's the vision of Nutanix? And the best part is that it hasn't changed. It's basically one of those timeless things that hopefully will withstand the test of time in the future as well. Make computing invisible anywhere. People scratch their heads. What does computing mean? What does invisible mean? What does anywhere mean? And that's where we'll actually go to these user conferences, talk about what is computing for us. Is it just infrastructure? Is it infrastructure and platform? Now that we're getting into desktop delivery, is it also about business users and applications? The same thing about invisible, what's invisible? For us, it's always been a special word. It's a very esoteric word. If you think about the B2B world, it doesn't talk about the word invisible a lot. But for us it's a very profound word. It's about autonomous software. It's about continuous, virtues of continuous delivery, continuous consumption, continuous mobility. That's how you make things invisible. And subscription is a big part of that continuous delivery message and continuous consumption message. >> So the event is October 9th, around the first week of October. You got some time there, but getting geared up for that. I wanted to ask you what you've learned from the North America conference and going into the European conference. It's ultimately the same message, same vision, with a tweak, you got some time under your belt since then. The subscription model business, which you were talking in your Bloomberg interview, is in play. It is not a new thing. It's been in operation for a while. Could you talk about that specifically? Because I think most people would say, hey, hardware to software, hard to do. Software subscription, hard to maintain and grow. Where are you on that transition? Explain and clarify your mix of business, hardware, software. Where are you in the progress of that transformation? >> Well, you know, I have been a big student of history, and I can't think of a company that's gone from hardware to software and software subscription in such a short span. Actually, I don't know of any company. If you know of one, please let me know. But why? The why of subscription is to be frictionless. Hybrid is impossible without having the same kind of consumption model, both on-prem and off-prem. And if we didn't go through that, we would be hypocritical as a company to talk about cloud and hybrid itself. The next 10 years for this company is about hybrid, and doing it as if private and public are one in the same is basically the essence of Nutanix's architecture. >> Well, I can think of some hardware-software dynamics that, again, might not match your criteria, but some might say Apple. Is it a software or hardware company? Hardware drives the ecosystem, they commoditize it. Peloton bicycle is a bike, but it's mainly a software business and in-person business. So there's different models. Oracle has hardware, they have software. It doesn't always relate to the enterprise. What's the argument to say, hey, why don't you just create your own box and kick ass with that box, or is it just different dynamics? What's that? >> Well, there's a tension in the system. People want to buy experiences as opposed to buying things. They don't want to integrate things, like, oh, I need to actually now get a hardware vendor to behave as a software vendor when it comes to support issues and such. And at the same time, you want to be flexible and portable. How do you really work with the customer with their relationships that they have with their hardware vendors? So the word anywhere in our vision is exactly that. It's like, okay, we can work on multiple servers, multiple hypervisors, and multiple clouds. At the end of the day, the customer experience is king. And that's one thing that the last 10 years has taught us, John, if anything, is don't sell things to people. You know, Kubernetes is a thing. Cloud is a thing. Can you really go sell experiences? The biggest lesson in the last year for us has been integrate better. Not just with partners, but also within your own products. And now if you can do that well, customers will buy from you. >> I think you just kind of clarified where I was thinking out loud, because if you think about Apple, the hardware is part of the experience. So they have to have it. >> Mm-hmm. >> You don't have to have the hardware to create those experiences. Is that right? >> Absolutely, which is why it's now 2% of our business, and yet we are saying that we take the burden of responsibility of supporting it, integrating with it. One of the biggest issues with cloud is operations. What is operations? It's day two patching. How do you do day two patching? Intel is coming up with microcode upgrades every quarter now because of security reasons. If we are not doing an awesome job of one-click upgrade of firmware and microcode and BIOS, we don't belong in the hybrid cloud world. I think that's the level of mundaneness that we've gotten to with our software that makes us such a high NPS company with our customers. >> I want to just drill in on the notion of a thing versus experience. You mentioned Kubernetes is a thing. I would say Hadoop was a thing. But Hadoop was a great example. It was hard to do. Kubernetes, jury's still out. People love them. Kubernetes, we'll see how that goes. If it can be abstracted away, it's not a thing anymore. We'll see. But Hadoop was a great example. Unbelievable technology direction, big data, all the goodness of object storage and unstructured data. We knew that. Just hard to work with. Setting up clusters, managing clusters. And it ended up being the death of the sector, in my opinion. What is an experience? Define what does that mean. Is it frictionless only? Is there a trust equation? Just unpack your vision on what that means. A thing, which could be a box with software on it, and experience, which is something different. >> Yeah, I mean, now you start to unpeel the word experience. It's really about being frictionless, trusted, and invisible. If you can really do these things well, around the word, define frictionless. Well, it has to be consumer-grade. It has to be web scalable, 'cause customers are looking for the Amazon architecture inside, and aren't just going and renting it from Amazon, but also saying, can I get the same experience inside? So you've got to make it web scale. You've got to make it consumer-grade. Because our operators and users, talk about Hadoop, I mean, they struggled with the experience of Hadoop itself because it was a thing, it was a technology, as opposed to being something that was consumer-grade itself. And then finally, security. Trust is very important. We must secure always on resilient. The word resilience is very important. In fact, that's one of the things we'll actually talk about at our conference, is resilience. What does it mean, not just for Nutanix stock, to be where it is today from where it was six months ago. And that's what I'm most proud of, is you go through these transitions, you actually talk about resilience of software, resilience of systems, resilience of customer support, and resilience of companies. >> So you mentioned hybrid cloud. We were talking before we came on camera about hybrid cloud. But software's a two-way relationship. Talk about what you mean by that, and then I want to ask you a follow-up question of where hardware may or may be an opportunity or a problem in that construct. >> Yeah, I mean, look, in the world of hybrid, what's really important is delivering an experience that's really without silos. Ideally, on-prem infrastructure is an availability zone. How do you make it look like an availability zone that can stand up shoulder-to-shoulder with a public cloud availability zone? That's where you sell an experience. That's how you talk about a management plane where you can actually have a single pane of glass that really delivers a cloud experience both ways. >> You're kind of a contrarian. I always love interviewing you because you seem to be on the next wave before any realizes it. Right now everyone's trying to go on-premise and you're moving from on-premise to the cloud. Not you guys moving, but your whole vision is. You've been there, done that on premises. Now you've got to be where the customers are, which is where they need to be, which is the cloud. I heard you say that. It's interesting, you're going the other way, right? >> Mm-hmm. But you could look at the infrastructure and say, hey, there's a lot of hardware inside these clouds that have a lot of hardware-specific features like hardware assist that software or network latency might not be able to deliver. Is that a missed opportunity for you guys, or does your software leverage these trends? And even on premises, there's hardware offload-like features coming. How do you reconcile that? Because I would just argue inside of the company, say, hey, Dheeraj, let's not go all in on software. We can maximize this new technology, this thing, for our software. How do you-- >> Look, I think if you look at our features, like security, the way we use TPM, which is a piece of assist that you get from Intel's motherboards for doing key encryption management. What does it mean to really do encryption at scale using Intel's vectored instructions? How do you do RDMA? How do you look at InfiniBand? How do you look at Optane drives? We've been really good at that lowest level, but making sure that it's actually selling a solution that can then go drive SAP HANA and Oracle databases and GPU for graphics and desktops. So as a company, we don't talk about those things because they are the how of the business. You don't talk about the how. You'd rather talk about the why and the what, actually. >> So from a business strategy standpoint, I just want to get this clear because there's downfalls for getting into the hardware business. You know them. Inventory, all these hardware cycles are moving fast. You mentioned Intel shipping microcode for security reasons. So you're basically saying you'd rather optimize for decoupling hardware from the software and ride the innovation of the hardware guys, like Nvidia and Intel and others. >> Absolutely, and do it faster than anybody else, but more integrated than anybody else. You know, all together now is kind of our message for .NEXT. How do you bring it all together? Because the world is struggling with things, and that's the opportunity for Nutanix. >> Well, I would say making compute invisible is a great tagline. I would add storage and networking to that too. >> Yeah, computing, by the way. >> Computing. >> I said computing. >> Okay, computing. >> 'Cause computing is compute storage networking. Computing is infrastructure, platform, and apps. It's a very clever word, and it's a very profound word as well. >> Well, let's just throw Kubernetes in there too and move up the stack, because ultimately, we're writing a lot of stories on covering this editorially, is that the world's flipped upside down. It used to be the infrastructure. We're calling this cloud 2.0, like I said earlier. The world used to be the infrastructure enabled what the apps could do, and they were limited to the resources they had. Now the apps are in charge. They're dictating terms below the software line, if you want to call it the app line. So the apps are in charge now. Whoever can serve up the best infrastructure capability, which changes the entire computing industry because now the suppliers who can deliver that elastic or flexible capacity or resource, wins. >> Absolutely. >> And that's ultimately a complete shift. >> You know, I tell people, John, about the strategy of Nutanix because we have some apps now. Frame is an app for us. Beam is an app. Calm is an app. These are apps, they're drawn on the platform, which is the core platform of Nutanix, the core hyper-convergence innovation that we did. If you go back to the '90s, who was to say that Windows really fueled Office or Office fueled Windows? They had to work in conjunction, because without one, there would be no, the other, actually. So without Office there would be no Windows. Without Windows there would be no Office. How platforms and apps work with each other synergistically is at the core of delivering that experience. >> I want to add just you're a student of history. As an entrepreneur, you've been there through the many waves and you also invest a lot, and I want to ask you this question. It used to be that platforms was the holy grail. You'd go to a VC and say, hey, I'm building a platform. Big time investment. An entrepreneur will come back: I got a tool. You're a feature. You're a feature, not a platform. Platforms was the elite engineering position to come in to look for the big money. How would you define platforms now? Because with cloud, if apps are in charge, and there's potential features that are coming around the corner that no one's yet invented, what is this platform 2.0 world look like if you were coming out of grad school or you were a young engineer or a young entrepreneur? How do you think about that right now? >> Well, the biggest thing is around extensibility and openness. You know, we were talking about openness before, but the idea of APIs, where API is the new graphically why, because the developer is the builder. And how do you really go sell to them and still deliver a great experience? And not just from the point of view of, well, I've given you the best APIs, but the best SDKs. What does it mean to give them a development kit that gets them up and running in no time? And maybe even a graphical Kickstarter. We're working with our partners a lot, where it's not just about delivering APIs or raw APIs because they're not as consumable, but to deliver SDKs and to deliver graphical structural kits to them so that they can be up and running, building applications in two months rather than two years. I think that's at the core of what our platform is. >> And data and having an operating system thinking seems to be another common pattern. Understand the subsystems of data. Running and assembling things together. >> I think what is Nutanix, I mean, if people ask me what is Nutanix, I start with data. Data is the core of the company. We've done data for virtualization. We're now doing data for applications with Nutanix Files. We have object store data. We are doing Era, which is database as a service. Without data, we'd be dead as a company. That's how important it is. Now, how do you meld that with design and delivery is basically where the three Ds come together: data-- >> I wrote a blog post. Dave Vellante always laughs when I bring this up because he always references it too. In 2007 I said, data is the new development kit. 'Cause back then, development kits existed. SDKs, software development kits. MSDN was Microsoft's thing. You remember those glory days, Dheeraj, I know. But the thesis was, if data does actually come in, it's actually an input into the software. This is what I think you guys are doing that is clever that's not well understood, is data is an input, like a software library almost. A module, but it's dynamic and it's always changing. And writing software for that is a nouveau kind of thing. This is new. >> Yeah, I know, and delivered to the developer, because right now data and hardware data is sitting in silos which are mainframe-like systems. How do you deliver it where they can spin it up on their own? Making sure that we democratize data is the biggest challenge in most companies. >> We're in a new era, I think you just pointed that out, and we talk about it at CUBE all the time. We don't really talk about up-front. It used to be UI was the thing, user interface, ease of use. I think now the new table stake feature in all companies is if you can't show value instantly in any solution that has a thing or things in it, then it's pretty much not going to happen. I mean, this is the new expectation that becomes the experience for-- >> Yeah, I mean, millennials are the new developers, and they need to actually see instant gratification, many of these-- >> Well, cost too. I don't want to spend a million dollars to find out it didn't work. I want to maybe spend something variable. >> And look, agility, the cliched word, and I don't want to talk about agility per se, but at the end of the day it's all about, can we provide that experience where you don't have to really learn something over 18 months and provide it in the next three hours. >> Great conversation here with Dheeraj Pandey, CEO of Nutanix, about his vision. I always loved your software vision. You guys have smart engineers there. Let's talk about your company. I think a lot of people at your conference and your community and others want to know, is how you're doing and how the company's doing. Because I think you guys are in the midst of a major transition we talked about earlier, hardware to software, software to subscription, recurring revenue. I mean, it's pretty much a disruptive enabler for you guys at one level as an opportunity. It's changing how you do accounting. It's having product management. Your customers are going to consume it differently. It's been a big challenge. And stock's taken a little bit of a hit, but you're kind of playing the long game. Talk about the growth strategy as you guys go forward. This has been a struggle. There's been some personnel changes in the company. What's going on? Give us the straight scoop. >> Yeah, in fact the biggest thing is about the transformation for this coming decade. And there's fundamental things that need to change for the world of cloud. Otherwise, you're basically just talking the word rather than walking the walk itself. So this last quarter I was very pleased to announce that we finally showed the first strong point of this whole transformation. There's a really good data point coming out that the company is growing back again. We beat street estimates on pretty much every metric. Billings, revenue, gross margin. And we also guided above street estimates for billings, revenue, and gross margin, and I think that's probably one of the biggest things I'm proud of in the last six, nine months of this subscription transition. We're also telling the street about how to look at us from software and support billings point of view as opposed to looking at overall billings and revenue. If you take a step back into the company, I talk about this in our earnings call, 'til three years ago, we were a commercial company, also doing federal and some international. And the last three years we proved to ourselves and to the community that we can do enterprise, you know, high-end customers, upmarket, and also do a very good job of international. Now, the next three years is really about saying, can we do both enterprise and commercial together? All together now, which is also our, coincidentally, our .NEXT message, is the proof that we actually have to go and show that we can do federal, enterprise, and commercial to really build a very large business from it. >> Well, federal's got certification levels. We know that's different depending upon which agency you're talking to. Commercial, a little bit different ball game. SaaS becomes important, cloud becomes important. The big trend is on-premise hardware. Outposts for AWS, Azure Stack for Microsoft. How do you fit into that? Because you, again, you said you're both ways. >> Mm-hmm. >> So are you worried about that? Is that a headwind, tailwind for you? What's the impact for this now fashionable on-premises shift? Which I think is just a temporary thing as cloud continues to grow. But I still argue with Michael Dell about this. I think cloud is going to be a bigger TAM. Even though there's a huge total addressable market on enterprise, that's like saying there's a great TAM for horses and buggies when cars are coming out. It's different world between public cloud and on-premises. How does that impact Nutanix, this on-premise-- >> Well, remember I said about the word anywhere in our vision? Make computing invisible anywhere? With software you can actually reduce the tension between public and private. It's not this or that. It's this and that. Our software running on Outpost is a reality. It's not like we're saying, Outpost is one thing and Nutanix is another. And that's the value of software. It's so fungible, it's so portable, that you don't have to take sides between-- >> Are you guys at ISV inside Amazon Marketplace? >> No, but again, it's still a thing. Marketplace is still not where it should be, and it's hard to search and discover things from there. So we are saying, let's do it right. Remember, we were not the first hyper-convergence company. Right? We were probably the ninth one, like the way Google was as a search engine, actually. But we did it right, because the experience mattered. You know that search box that did everything? That's what Nutanix's overall experience is today. We will do the public cloud right with our software so that we can use the customer's credits with Amazon-- >> But you're still selling direct. And your partners. >> Well, everything is coming through partners, so at the end of the day we have to do an even better job of that, like what we're doing at HPE now. I think being able to go and find that common ground with partners is what commercial is all about. Commercial is a lot about distribution. As a company, we've done a really good job of enterprise and federal. But doing it with partners-- >> What are the biggest impact areas for your business and business model, elements with software transition that you're scaling up on the subscription side? What are the biggest areas? >> Well, one is just communication, 'cause obviously a lot is changing. At a private company, things change, nobody cares. The board just needs to know about it. But at a public company, we have investors in the public market. And many of them are in the nosebleeding section, actually, of this arena. So really, you're sitting in the arena, being the man in the arena, or the woman in the arena. How do you really take this message to the bleachers section is probably the biggest one, actually. >> Well, I think one of the things I've always speculated on, you look at the growth of, just pick some stocks that we all know. VMware, Microsoft. You look at the demarcation point where, right when the stock was low to high was the shift to cloud and software. With VMware, it was they had a failing strategy and they kill it and they do a deal with Amazon. Game has changed, now they're all in the software-defined data center. Microsoft, Satya Nadella comes in, boom, they're in cloud. Real commitment. And with Microsoft specifically, that was a real management commitment. They were committed to software. They were committed to the cloud business model, and took whatever medicine they needed to take. >> That's it. That's it, you take short-term pain for long-term gain, and look, anything that becomes large over time, to me it's all about long-term greed, and I use this word a lot. I want all our employees and our customers and our investors to really think about the word. There's greed, but it's long-term greed, and that's how most companies have become large over time. So I think for us to have done this right, to say, look, we are set for the next 10 years, was very important. >> It's interesting. Everyone wants to be like Jeff Bezos. Everyone wants to be like you guys now, because long-term greed or long-term thinking is the new fashion. It's the new standard and tack. >> Yeah, I mean, look the CEOs, the top 200 CEOs, came out and talked about, are we taking good care of main street, or are we just focused on this hamster wheel of three months reporting to Wall Street alone? And I think consensus is emerging that you got to take care of main street. You and I were talking about, that I look at investors as customers, and I look at customers as investors. Which is really kind of a contrarian way of thinking about it. >> It's interesting. We live in the world, we've seen many waves. I think the wave we're on now from an entrepreneurial and venture creation standpoint, whether you're public or private, is the long game is the new 3D chess. It's where the masters are playing their best game. You look at the results of the best companies. I just bought the book about Uber from Mike Isaac from the New York Times. Short-term thinking, win at all costs, that's not the 3D chess game that's going on with entrepreneurs these days. All the investment thesis is stay long-term. And certainly now, with this perceived bubble popping, or this downturn that may or may not happen, long-term game is more important than ever. Your thoughts on it? >> I think the word authenticity has never been more important, not just in the Valley, but around the world, actually. What you're seeing with all this Me Too movement and a lot of skeletons in the cupboard out there, I think at the end of the day, the word authentic cannot be artificially created. It has to come from within. What you talk about, Satya... I look at Shantanu Narayen, the Adobe CEO, and they're authentic CEOs. I mean, I look at Dara now, at Uber, he's talking about bringing authenticity to Uber. I think there's no shortcuts to success in this world. >> I think Adobe's a great example. What they've done has been amazing. I know you're on the board there, so congratulations. Final word, I'll let you get your plug in for the event and your customer base. Talk to your customers and investors out there that might watch this. From your state of mind, what's the state of the union for Nutanix? Speak directly to your customers and investors right now. >> Well, the tagline for .NEXT Copenhagen is all together now. We're bringing clouds together. We're bringing app infrastructure and data together. I think it's a really large opportunity for us to go sell an experience to our customers, rather than selling things. All these buzzwords that come up in technology, as a company, we've done a really good job of integrating them, and the next decade is about integrating the public cloud and the private cloud. And I look at investors and customers alike. I talk about long-term greed with them. Providing an experience to them is the core of our journey. >> Thanks for your insight, Dheeraj. This was a CUBE Conversation here in Palo Alto. I'm John Furrier, thanks for watching. (funky music)

>> Live from Las Vegas. It's the queue covering Adobe Summit twenty nineteen brought to you by Adobe. >> Hello and welcome back to the keeps. Live coverage in Las Vegas for Adobe Summit. Twenty nineteen. I'm John for Jeffrey from the Cube. Our next guest, Bradley Jenkins, was the marketing CEO and vice president. Met Life, part of the global technology and operations group. Innovative title. But thank you, >> Yeah, thank you. Thanks for having me. >> So we're here to do the summit. A lot of things are happening. It's really interesting because you have a convergence of two worlds and it looks like a cloud world. It's it's it's the creative cloud. It's the experience Cloud now called The whole World shares a lot of devil's mindset in there. Got a platform? The whole world's changed. Now marketing has a full blown class, not just marketing class, so it's a whole system. So as a marketing seo, what does that mean? Is now a new role emerging in organizations? Is this where we're team? >> I think it's a It's an emerging role. I think it's one of those things where in the in the market and technology space, the lines are blurring, and part of the role of people like me are the ones you could be the bridge makers between the two functions and bring in products like we see all around us here today. Cloud based Solutions How do we activate marketing tactics faster, quicker on. Then combine things like experiences with tools and technologies in different ways. I think it's a specialty skill, and it's coming out now and emerging >> well. One of the patterns is that marketing departments that have a technical and also a relationship seems to be more agile, transformed faster. This seems to be the same thing you guys are looking at right? >> Exactly. It's all about speed to market. So agility is this one co looking and combining everything from creative to the developers, all in one Teo product resource person all the wine and we get in and try to solve business problems. Fastest possible. But you're almost kind of a personification of the story we hear all the time, which is? CEOs get a seat at the table right now. They're no longer just keeping the lights on in the system's lit. But it's a fundamental way the company goes the business of fundamental way the company interact with their customers. So to actually put a marketing CEO title. That's a pretty unique thing I don't think we've ever had one on. So you come at it, no doubt about it. I'm here about customer engagement, customer experience, not keeping the light on. That's right. That's right. First, one side, like a unicorn. >> How's it been? So tell us some of the things you do. I love how you're part of a global technology and operations group. Noticed the word operations and tech together again, back to this cloud theme of Dev ops, which changed the game on the world >> it has. >> So we're seeing that same thing happening playing out in the creative market, whether it's content for here, same thing. Explain some of the things you're doing. >> It's the same thing, and it is Everything's very cloud based today, obviously. So everything from building out content, platforms and services and kind of services framework switch, which is which is key to what what we want to do but also campaign and analytics and, uh, you know, social and what the emerging capabilities are in social. How do we tie all those together but do in a way, we're capturing data and insights across all of our channels in a more creative, quicker way, then activating that across new new experiences. >> You know, Bradley, one thing I wanted to ask you, And I'm glad you came on because I've been really kind of riffing on this idea and trying to get a date in actual year kind of a before cloud after cloud demarcation line because, you know, we're in Silicon Valley. We cover a lot of startups and literally ones go big or go home is kind of the mantra. But if you were born before Amazon, you're pretty much either aren't around or got acquired. If you're born after Amazon, where clouds scale and all this stuff happened, you tend to thrive in a whole new kind of shift. So in Martek, which is heavily funded, sector on the ecosystem map of pure play applications was pretty dense. >> Is very dense. Yeah. >> Did that live up to its name? Did it shift and shape? What's your thoughts on that mark Tech landscape could? Certainly, it's relevant when you're marking CEO. You want to put technology in place. Has the platform shifted? What's that? What's going on? Tell us. >> Yeah. So you know, I think has it lived up to his name? Uh, yes, and it's created challenges that the same thing at the same time. So what is still in the Martek landscape is seventeen thousand or whatever tens of thousands of products. Now Mr Wescott fingers latest one shows every year it doubles or quadruples in there. And I think one of the biggest challenges we have now is just navigating, never getting the landscape, but then be able to pick out and say, Here are the five things and you focus on Here is how I'm going to tie them together and in great demand. And there's a lot of noise and you have to break through a lot of that to build a craft. These solutions together. So in a lot of ways, I think it's lived up, Uh, a lot of ways. I think it's create a lot of new challenges that things like markets he has you to think about. Be aware of the bread, the people that are out there. But that's just the capabilities. How do you stitch them together and you become more of a weaver? Then thin a specific domain >> class early adopter proves the model. And now reality as operational izing things becomes clear. The wheat from the chaff, as they say, kind of get figured out >> exactly friendly. I want to get your kind of thoughts on a CZ. The relationship between the company and the customer has shifted from sitting down with an agent or maybe talking to it. Agent on the phone to really Elektronik means how you've been able to kind of continue a certain type of brand experience. And I'm also just curious your feedback on the theme here where it's not really the transaction. It's the experience of which the transaction is a piece of How are you seeing that play out in the way that you guys interact with your customers? Yeah, and I think for us we're in evolving state to we have agencies and brokers that we worked through, and so it's a bit of the model in some cases, in some cases it turns, and we're about to see targeting >> B to B >> group customers as an example, and so the experience is very a bit so for us, it's experience of the customer, and how do we service some? How do we treat them. What's the purchasing servicing capabilities look like? What's our customer service look like? But also the experience of agents and brokers. And are we providing the right service and products to them to build equipped them to go help in resell product? So we look at it from a couple different angles and depends a lot on context and where we're operating in product and servicing products at Is it easy to maintain kind of the voice of the brand, if you will, through these alternate channels or, you know, how do you kind of stay true to the brand? Yet go to market through these. He's a myriad of channels. Yeah, it's no Isaac, a question that we're really working through the same kind of things now of what can we What can we help provide agents and brokers with, and that helps with our brand? Our friend promised up. Some sell better. That it's it's a work in progress, but technical challenge? Yeah, I don't >> really have >> all the answers. >> Take a minute to explain the MetLife transformation. What you guys have done. Where are you now? In the jury? Your journey will be customer. You're here at their event. Where are you on that Progress bar? How far along are you? It seems to be a theme of transforming. Continue to transform is what successful company doing. Our iterating are raising the bar. Whatever term used where you guys at, Can you take us through? >> Yeah. So a few years ago, we we refreshed our enterprise strategy. We placed a customer in digital on data at the center of our enterprise strategy. And we have pillars around different transformation aspects that we're working on everything from customer service too. Right? Products simplifying our product messaging the way we talked about product specially in insurance can be complicated. And so we're trying to get a little a little more concise and clear and package things differently. But But at the core, our strategy now is placing digital placing diddle data at the center of it. Uh and then how do we enact data and new and different ways Everything from not only knowing customers, but how do we use data to great better and smarter products or even the risk different products that we have waken me price competitive in certain market areas. >> So Data's lifeblood of your transformation. It is. What's the strategy? How you guys enabling that internally? What some of the results will take us through experiences, zealously numbers. But I'm sure it's helping. If you do it right. It's challenging, though it's not easy. >> It is. Yeah, it's challenging, and it will take a while to sort it out. So we'LL say we've solved everything. Uh, but But I think we look at a few different things. What one is knowing the customer? And so you know, we're investing heavily and try and doing things like customer profile and a customer. Three sixty. Whatever you want to call it different in different, different areas. Uh, but how do we know them? And then how do we then act? There's the data's insights into different channels. So we've had a lot of a lot of good successes in there, in particular markets on creating more engaging experiences and lifting customer retention and loyalty. So we have good, good insights there. We're planets in different areas, so things like we go to bid for new products and or new new customers around a new product area. What can we do it for our pricing models on. How do we love its data around Where is geographic or whatever it might be? Or demographics and fly it to be more price competitive? And we're starting to see a lot of fruition there and how it gets applied. Tto win New business >> One of the things that we've been talking about on the Q through got a lot of events, and the theme that comes up all the time when you have these new shifts is new. Things are emerging. New capabilities, different economic points, scales different. So all good. Now the hard part is making it work. Operationalize ing Something new is a huge challenge. It is. Did you share your view on that? And reaction to that because this is seems to be not about the tech about either skills, gaps or culture gap. There's a lot of things in the way of operational izing, something new. What's what people do to operationalize something? >> Yeah, no, it's a good question. I'm glad you brought it up because that's actually one of the things that I have a caper. A lot is a lot of times we lead with the tech and then we place it And then we say, Well, now what? And then everything you know is what it comes to a standstill. And, yeah, you have to leave with people. Process so again in for a transformation, understand exactly what it is you're trying to solve. How are you going to solve it afterwards? Do you have the skill sets and place to do it and then follow up with the tech? And then I think a lot of a lot of companies do a little bit reverse where they go in acquiring, like we're going to solve this and bring the cheque in and in your little literally left standing at the end of day of How do you have the operational ises? So something we focus on a lot is it is the people process piece of enablement training, the skills that are required. How do you turn it into a machine after you bring the tech in to really start pumping up? Whether it's a growth objective or call status, I've never where the object it might be. But you have to you have to almost produce this into ah life machine of its own that cannon live and breathe after you bring the second. >> What should more marketing CEOs as it becomes a price? I think it will be. In my opinion, I think it will be a roll because it's really critical because of the opportunity. What should they be doing? That's this New persona evolves. You're pioneering it. What is the job function? What does it do in your opinion? Has this take shape? >> Yeah, I think Number one. Learn the business. And I think you have to speak the same language. And that's one of the biggest challenges translating so different languages across different groups. In the first thing, any market so you could do is go learn the business, speak the same language, then what company you know. We're in insurance company and a risk management companies. So understanding, finance, understanding, mark objectives. Your customer detectives is key and then figure out how to start mapping the solutions in. But, yeah, I think it's it's It's a fridge, a role. We have to be able to be a navigator in away across solution options, but always in context of understand the business and how you confessed, apply, and in a specific way, >> Data wrangler of course, because you're wrangling a lot >> of data. If I don't have a lot of intersection with, you know, kind of actuarial side of the house, which is, you know, kind of always been data driven, right since the early earliest days. But I mean, are you seeing you know, kind of that side of the house? Kayla, you know, can we get we get some of these new tools? Could we get some of these kind of new ways to approach the data problem than we historically did? I think now, now? Yes. I think it has been an evolution. I think in the early days of data, it was a bit more of a scary thing. And so I feel like we're, you know, as advocates in the sea of space that we were pushing a little more than, you know, being pulled in. And I think I think lately in the last couple of years. But I know at least until we've seen a shift of demand side of requests coming in, saying we need to partner way ideas of how to accelerate and be competitive, which is great. Now it's almost become a supply demand trick. Where you just can't keep up. Because the level of segmentation on kind of classy the insurance, you know, kind of breakdown is really high, right? Sex age, you know, a couple other factors. But you know, now that the amount of data that's available, that amount of real time data, it's available on changing, they've got to be going bananas over on that side. >> You know, one of the things that we've been seeing on the side again. I want to bring a question in the marking CEO piece is on. We've had many CEOs talk about this on the Cuba and direct interviews is they've outsourced everything, and they really had no core competency, had all the big size running stuff you had global outsourcing development. And as cloud became important, they had the build applications internally, didn't have the skills, so they had to quickly reset and rebuild and in house capability. And the result of that is ongoing and seen. The ones who've done that well with cloud are doing great. They still use outsourced off. Now, on the marketing side, you saw that same thing happen where agencies run everything. The agency does this, you got the creative agency, you got a PR firm, you all these things going on and some say that marketing has been outsource a lot. And so the question is, what mix of in house skill, an agency relationships? Because now you're gonna see that application developer. No problem. But core competency becomes a super important question. Yeah, And how are you funding it And what should be in house on what should be outsourced. >> Yeah. Yeah, and we have We're going to the same evolution. We had a position than a few years ago where it was almost entirely outsourced, and we in sourced a bunch of it. And now we're right sizing what's unsourced and not in sources. So I think one is Think about, uh, what your differentiation is. And how do you want to be competitively different competitively and having create advantage and then in source those things. And then you had to find a way. That's one thing. I think every year you talk to Rick Wright size and reassess. And so for us, we insourced a lot of things around. Um, first around, build side, so platforms being cloud. But then how do you enact and activate them? So we've brought some of those inside internally on we started marrying those up with creativity. This is just the last words of the great, But we were married them up and get these, uh, you know, more agile lean teams cross blended skill sets and go on, go to market quicker with new experiences. I think over time we'LL see a start and sourcing more of the agency side, maybe shedding some of the you know, the left side as we started becoming more pattern base and whatnot. So I think it's one of those things that you evolve every year as the right size. But the key is trying to tie it back to you. How do you wantto create differentiation? What, you're competitive advantage and then make sure that you have that internal first and foremost. And don't outsource here, your smarts to >> another. I think the key point is by re factoring or Ria's re sizing. That's the interest generation that you get with cloud and scale. If you don't do that, scale can also hurt. You >> can yeah, yeah, >> comes come back and impression. It's right, really. Thanks for coming on. Appreciate the insights from great to hear from Practitioner Love the new child. I think it's a game changer. I think it's going to be a standard final question to end the segment learnings over the over the past couple of years. What some key learnings that you take away from the process that you're going to carry forward. >> Yeah, I think one one is as a company being being a blend roll between marketing the technology. One is, uh, be willing to change and adapt and be willing to bring the rest of the company with you could You can't do everything yourself. So I think you have to be a change agent for the company. I figure out that that everybody is in the journey with you and then how do you create that scale to get the get the mass moving? Because it takes it takes a village thing. Get things done. >> Bradley. Jake is making history on the Cuba's, the first marketing CIA we've interviewed super excited, great insights. This is going to be a position we think's going around for a while, of course. The Cube coverage here on Adobe Summit. Jeffery, Jeffery Thanks for watching Stay with us from or Day one of two day coverage here in Las Vegas. After this short break

>> Announcer: Live from Las Vegas, it's The CUBE, covering VMworld 2017, brought to you by VMware and its ecosystem partners. >> Hey welcome back everyone, we're live here in Las Vegas. Behind me is the VM Village, this is The CUBE on the ground live at VMworld, I'm John Furrier, with Dave Vellante. Excited to have Sanjay Poonen, Cube VIP new badge that's going out. Five or more times you get a special badge on the website Chief Operating Officer, Chief Customer Operations as well at VMware, Sanjay. >> I think I won one of your hoop madness what do you call those Cube >> John: Yeah, that's right. You did get one of those. >> One of them, so add that to the smallest. >> Came in second to the bot, next year you won. We're going to have to check the algorithm on it that's before we had machine learning, so... Sanjay, great to see you. >> Always a pleasure, John and Dave, thank you for having me here. >> So, you know, in fairness to the VMware management team I got to say, great content program. Usually you can see, kind of, maybe some things that are kind of a little futuristic on the spot big time, on the content. True private cloud, data that Wikibon reported on, you guys are right in line with that. Hybrid-cloud is where its going from multi-cloud. You talk multi-cloud, the Kubernetes orchestration vision for Cloud Native, and even you were doing some interviewing on stage. >> Trying to be Anderson Cooper. >> So, tell us, what's your perspective because you got to balance here you got the reality of the Amazon relationship front and center, delivered big time there, shipping, western region, VMware on-prem, and on-cloud and this new cloud native vector of orchestration and simplicity. >> Yeah, I think, at least from our perspective as I describe in sort of that one chart where I try to put it in Sesame Street simple terms as I like to describe. VMware is one of the most fundamental companies that had a incredible impact in the data center, taking more costs and complexity. We are the defacto backbone of almost everybody's data center, but as the data center moves to the cloud you got to ask yourself, what's the relevance, and we've now shown, same way with the desktop going to mobile, and that's the end-user stuff that we've talked about the last few shows. But let's focus on that cloud part. We really felt as people extended to the public cloud we had to change our strategy to not seek to be a public cloud ourselves, and that's the reason we divested VCloud Air, and focused on significant things we could do with the leading public cloud vendors. As you know, Andy Jassy is a classmate of mine, Pat, Raghu, myself, began the discussions with Andy two years ago, and we announced the deal last year in October. This year having him on stage was, for me, personally a dream come true, and really nice to see that announcement, but we wanted to make sure we were also relevant to some of the other clouds. So earlier this year, in February, we announced Horizon Cloud, the VDI product manager. Today, we announced Kubernetes VMware, Pivotal and Google Form in Kubernetes, IBM Cloud. So all of the top four clouds, AWS, Azure, Google, and IBM have something going with VMware being with Pivotal. That's a big statement to our multi-cloud vision. >> And what a changeover from just two years ago when the ecosystem was, kind of, like a deer in the headlights, not knowing which way to zig or zag, do they cross the street. Where are we going with this? Now the clarity's very clear, cloud, and IoT, and edge with Amazon right there, a lot of the workloads there with multi-cloud. So the question I got to have you is that, as we just talked to the Google guys, is VMware turning into an arms dealer? Because that's a nice position to be at, because you're now driving VMware into multiple clouds. >> I think, you know, when I was on your show last time I described this continent called VMware, and then bridges into them. (John laughs) Let me try another and see if this works. That was good, but it had its 12-month shelf life. Think about the top four public clouds as sort of Mount Rushmore type figures. Each at different heights, AWS, Azure, Google, IBM Cloud, in market share they're the top four. If you want to build a house on top of Mount Rushmore, okay, it could work, but you're going to have to build it on top of one president's head. The moment you want to build it, you need some concrete infrastructure that fills in all the holes between them. That's VMware. It's the infrastructure platform that can sit on top of those varied disparate levels of Mount Rushmore, and make yourself relevant from on. So that's why we fell, whether you want to call that a quintessential platform, an arms provider, whatever it is, for the 4,400 cloud providers, plus the top four or five public cloud players today, VMware has to be relevant. We weren't two or three years ago. Now, for the top three, we're very relevant. >> I call it a binding agent. You're the binding agent across clouds, that's what you're really trying to become. But I wonder if, you know, you're talking about the clarity. I mean, VMware, things are good right now. Two years ago, was looking kind of hmmm, maybe not so good, with license growth down, and now it's up, stock prices double digits, >> Stock prices almost highest >> Okay, so I want to understand the factors behind that. You mentioned the clarity around vCloud Air and the AWS agreement, clearly. The second I want to attest is, the customer reality of cloud, that I can't just ship my business to the cloud, ship my data to the cloud. I got to bring the cloud model to the data. Did that in your conversation with customers, those two factors lead to customers being more comfortable, signing longer term agreements with you guys. Is that a bit part of the tailwind? I wonder if you could discuss that. >> Yeah, Dave I think that's absolutely right. One of the things I've learned in my 25 years of IT is, you want to keep being strategic to your customers. You never want to be in a place where you're in a cul-de-sac. And I started to sense, right, not definitively, but perhaps two years ago, there was a little it of that cul-de-sac perception as our license revenue was growing, particularly on this cloud strategy. Are you trying to be a public cloud, are you not, what's your stance versus AWS as one example, and with vCloud Air, there was a little bit of that hesitation. And if you asked our sales teams, the clarifying of our cloud strategy, which last year was okay but didn't have the substance or the punch. Now you've got an AWS coming on stage, and the other cloud providers where we have substance. I think that clarifying the cloud strategy game the ability for customers to say, even while they were waiting for AWS to be shipped, the last year, three or four quarters are spending of on-premise VMware stuff has gone up, 'cause they see us as strategic. The second aspect I think is our products are now a lot more mature than they were before outside of B sphere. VMware cloud foundation, which consists of storage, networking, VSAN, NSX, and you've talked to those people on your stage, workspace one, end user computing. These have really, really helped, and I think the third factor is, we've really focused on building a very strong team, from Pat, myself, to Raghu, Rajeev, Ray, Mauricio, Robin, I think it's a world-class infrastructure, so we just added Claire Dixon as our Chief Comms Officer on eBay. This is for us now, and everyone in the rest of the organization, we want to continue building a world-class sort of warrior-style strength in numbers. >> Quick follow-up if I may, just a little Jim Kramer moment. And the financial's looking good, you just raised four billion of cheap debt, right the operating cash flow, three billion dollars, and the nice thing about the clarity around vCloud Air is, the capital expenditure, it's just a very capital-efficient model that you guys have now, and I've been saying, you can't say it, but to me the stock's undervalued. When you do the ratios and the multiples on those factors, it looks like a cheap stock to me. >> John: I would love to see you buy it because we have to disclose it, the big position in VMware. >> No, no, no. >> We don't have any stock >> I wish we did. >> We just want to keep growing and the market will fairly value us over time. >> Yeah, it will. >> Well you guys had a good team at VMware, so let's just go back and unpack that. So there was a transformation. Peter Burrows was talking about IBM over the years, had a massive transformation, so really kind of a critical moment for VMware as you're pointing out. We had this great discipline, great technology, great community folks, still there now, as you mentioned, but that transition from saying, we got to post a position, are we in cloud or not, let's make a decision and move on, and as Dave said, it's good economics behind not having a cloud, but I saw a slide that said VMware Cloud, you can still have a cloud strategy using Amazon. Okay, I get that. So the question for you is this. This is the debate that we've been having. Just like in the cryptocurrency market, you're seeing native tokens in cryptography, and then secondary tokens, just one went crazy today. With cloud, we see native cloud, and then new clouds that are going to be specialty clouds. You're seeing a huge increase the long-tail power law of cloud providers that are sitting on other clouds. We think this is a trend. How does VMware help those potential ascensior clouds, the Deloitte clouds, the farming drone cloud that's going to have unique applications? So if applications become clouds, how does VMware help that? >> That's a really good question. So first off, we have 4,400 cloud providers that built their stacks on VMware. And it could be some of these sourced. Probably the best example are companies like Rackspace, OVH, T-Systems. And we're going to continue to empower them, and I think many of them that are in country-specific areas, France, Germany, China, Asia, have laws that require data to be there, and I think they quite frankly have a long existence, and some of them like Rackspace have adapted their model to be partnering with AWS, so we're going to continue to help them, and that's our VMware cloud provider program, that's going to be great. The other phenomenon we see happening is these mini data centers starting to form at what's called the edge. So edge computing is really almost like this mobile device becoming bigger and bigger, it becomes like a refrigerator, it becomes like a mini data center, and it's not sitting in the cloud, it's actually sitting in a branch someplace or somewhere external. VMware Stack could actually become the software that powers that whole thing. So if you believe that basically cloud providers are going to be three or four or five big public clouds, a bunch of cloud providers are country-specific, or vertical-specific, again in these edge computings, VMware becomes quintessentially important to all of those, and we become, whether you call it a platform, a glue, or whatever have you, and our goal is to make sure we're pervasive in all of those. I think it's going to, world is go, going to go from mobile cloud to cloud edge, I mean the whole word of cloud and edge computing is the future. >> So you believe that there potentially could be another second coming of more CSPs exploding big time. >> Especially with edge computing, and country-specific rules. There's some countries that just won't do business with a US public cloud because of whatever reason. >> Well, many of those 4,400 would say, hey, we have to have a niche so we can compete with AWS, so we don't get AWS-ized. So what's your message to those guys now that you're sort of partnered up with AWS? >> Listen, OVH is a good example. Virtuastream's another, I'll give you two good examples. OVH, we sold vCloud Air to them. We are helping those customers be successful. I go to some of those calls jointly with them, they are based in France expending some of their presence to the US, and have got some very specific IP that makes their data centers efficient. We want to help then be successful. Some of the technology that we've built in vCloud Air, we're now licensing to them so we can them be successful. Virtustream, you know Rodney Rogers being on your show. Mission-critical apps is tough for some of the public clouds to get right. They've perfected the art, and I've known them from my SAP days. So there's going to be some of these other clouds that are going to be enormously successful in their niche, and their niche are going to get bigger and bigger. We want to make sure every one of them are successful. And I think there's a big opportunity for multiple vendors to be successful. It won't be just the top three or four public clouds. There will be some boutique usage by country or some horizontal or vertical use case. >> Good for an arms dealer. Well this is my whole point, this is what we've been getting at. We're kind of riffing in real time, little competitive strategy, we got the Harvard MBA and I'm the Babson guy, we'll arm wrestle it out here, maybe do some car karaoke together. But this brings up the question, and I've been saying for a long time on The Cube, and Dave and I have been talking about, we see a long tail, torso neck expanding, where right now it's a knife-edge, long tail, top native clouds and then nobody else. So I think we're going to see this expand out where specialty clouds are going to come out for your reasons. So that is going to open up the door, and those guys they're not going to want their own cloud. >> Sanjay: I agree. >> And that's a channel, an app, who knows? >> You look at an example, one, two other examples of specialty clouds, these are SAS vendors. If you look at two vertical companies, Viva and Guidewire. These are SAS companies that are in the life sciences and insurance space. They've been enormously successful in a space that you're probably maybe a Zapier Salesforce would have done, but they have been focused in a vertical market, insurance and life sciences. And I think there's going to be many providers the same way at the IS level or the PAS level, to also be successful and we welcome, this is going to be a large multi-cloud world. >> Edge cloud. You guys talking about the edge before. Pat had the slide of the pendulum swinging. >> Sanjay: Exactly. >> What is that edge cloud do to the existing business? Is it disruptive or is it evolutionary in your opinion? >> It's disruptive in the sense that, if you've taken a hardware-centric view of that, I think you're going to be disrupted. You take things like software-defined WAN, software-defined networking. So I think the beauty of software is that we're not depending on the size of the hardware that sits underneath it, whether it's a big data center or small edge of the cloud. We're building this to be an all-form factors, and I agree with Marc Andreessen in the sense the software's eating up the world. So given the fact that VMware >> And the edge. >> Yeah, our premise is if there's more computing that's moving to the edge, more software define happening at the edge, we should benefit from that. The hardware vendors will have to adapt, and that's good. But software becomes quintessential. Now I think the edge is showing a little bit of, like, you know, Peter Levine had a story about how cloud computing might be extinct if edge computing takes off. Because what's happening is this machine starts to get bigger and bigger and sits in a branch or in some local place, and it's away from the cloud. So I think it actually is a beautiful world where if you're willing to adapt quickly, which software lets you do, adapt quickly, I think there's a bright future as world moves cloud, mobile, and edge. >> Great stuff, Sanjay, and I was referencing car karaoke, you have on your Twitter >> Oh the carpool karaoke. >> The carpool karaoke. >> It was a fun little thing. Maybe we could do it together, three of us some time. (John laughs) >> I don't do karaoke. Final... >> Just sing, man Just be out there doing your thing. >> I embarrass myself on The Cube enough, I don't need karaoke to help there. >> David: I'm in. (laughs) >> All right, I'll do it. All right, final question for you. >> That's a deal. Let's do it. >> Final question, Michael Dell and we're talking, the world's upside down right now, the computer industry has been thrown up in the air, it's going to be upside down, reconfiguration. You've been in the business for a long time, you've seen many waves. Actually the waves now are pretty clear. What's the fallout going to be from this for customers, for the vendors, for how people buy and build relationships in this new world? >> I think there's a couple of fundamental principles. I talked about one, software, let's not repeat that. I think ecosystems rule. It's really important that you don't look at yourself as having to own the full stack, you know VMware's chosen to be hardware-dependent. Yes, we're owned by Dell, but you've seen us announce a HP partnership here, right? You've seen us do deals with Fujitsu. We had AWS Cloud and Google Cloud. So when you view the world, I love this line by Isaac Newton, he said, "I see clearly because I stand on the shoulders of giants." And to me, that's a very informed strategy to actually guide our ecosystem strategy. Who are the giants in our space? It's the companies that are relevant, with the biggest market caps. Apple, Google, Microsoft, you know, AWS is part of Amazon, and then you know, HP, EMC, Dell, so and so, we list them, by my SAP. If we're relevant to all of them, I'd love to see the momentum of VMworld and the momentum to reinvent start coalescing. Collectively there's probably a hundred thousand people who come to all of our VMware vForums. Andy Jassy told me he expects 40,000 at re:Invent, and maybe across all of his AWS summits, he has a hundred thousand. I was sharing with him an idea. Why don't we have these two amoebas of growing conferences start to coalesce where we mingle, maybe 20% goes to both conferences, but we'll come to your show and be the best software vendor, that hijacks your show, so to speak, (John laughs) I didn't use that word. But we become the best vendor, and we'll roll out the red carpet to you. Now we've got a collection of 200,000, we couldn't have done that on our own. That's an example of AWS and VMware partnering. Now it doesn't have to be exclusively AWS, we could do it with another partner too. Microsoft doesn't show up at the AWS re:Invent conference, we do. Similarly we could maybe do something very specific with Azure and VDI at the Microsoft event, or Kubernetes and Google. So for VMware, our strategy needs to be highly relevant to the power players in the ecosystem, and the guiding our software-defined strategy to make that work, and I think if we do that, you know, you could see this be a 10 billion and bigger company. >> Well it says it's not a zero sum game, >> Sanjay: No, everybody wins. >> And if you can stay in the game, everybody wins, right. >> And I think in the software-defined infrastructure space, we like our odds. We feel we could be the leading player in that software-defined area. >> And it changes and reimagines that relationship between how people consume or procure technology, because the cloud's a mosaic, as Sam Ramji was telling me earlier. >> Oh you had Sam on your show? Wonderful. >> I had him on earlier, and he sees the cloud as a mosaic. >> He's a fantastic thought leader in open source, we were deeply grateful to have him at our event today. >> Andy Jassy, your classmate and friend, collaborator, he was onstage, great performance that he gave. Really talking to your crowd, saying, "We got your back," basically. Not a barney deals, not a optical deal, we are in on it, we're investing, and we got your back. That's interesting. >> We want to be with all of the key leaders that are driving significant parts of the ecosystem, we want to be friends, our tent is large. If everybody. Provided there's, like you said, not a barney announcement, so provided there's value to the customer. If there is, our tent is large, right? We will have point competitors, you know, here and there, and you know me, I'm very competitive. >> John: (laughs) No! >> I've not named competitors too much in this show. >> Really, really. >> But, if anything now, my mind's a lot more focused on the ecosystem, and I want to make this tent large for as many, many players to come here and have a big presence at VMworld. >> And the ecosystem is reforming around this new cloud reality, and the edge is going to change that shape even further. >> Competing on value, competing in a new ecosystem requires a new way to think about relationships. >> If I could give you one other example, then. In the world of mobile, who would have thought that the most important company to mobile security and enterprise to Apple is VMware now, thanks to AirWatch, or to Samsung, whatever it might be, right. This is the world we live in, and we have to constantly adapt ourselves. So maybe next year we'll be talking about IoT or something different, and their ecosystem. >> Sanjay Poonen, COO of VMware, good friend inside The Cube, always candid. Thanks for sharing your commentary and color on the industry, VMware and your personal perspective. I'm John Furrier, Cube coverage live in Las Vegas, here on the ground floor in the VM Village. We'll be right back with more live coverage after this short break.

hi buddy we're back this is Dave vellante Wikibon org with Stu miniman my co-host in this segment Chad saket just here a long time cube guest good friend of the cube Chad great to see you Dave it's my pleasure as always man Stu it's good to see you my friend you know it's unbelievable right we shot and I've been talking all week we started the cube 2010 at the MC world we did SI p sapphire the week right after and then the big show for us that year was was vmworld 2010 it's the best show in town it really is it's you know we said at that greatest show on earth we're betting the house on on VMware you know as a as a topic because it is the IT economy yeah obviously spent a lot of time and as you know effort and appreciate you know the shout out that you gave us the other day on the research that we just did I appreciate the shout out that you your results found well you know it's it's all legit you know as you know we do our homework but David's do put a lot of time to that Nick Allen as well so we're really proud of that that work and at the same time things are evolving yeah I guess they want to go back to it must have been 2009 maybe we sat in a room and you chuck talked the future storage networking the up security obviously compute yep management and the whole deal and we spent a good four hours in that room yep you know I was spent after that but I was just getting started I know you would just get that much everything you laid on us that day is coming true yeah really it's really true I mean you said storage is going to be invisible eventually going to get to the network I mean you know the security pieces and on and on and on so so you know I think that that's definitely the story of this year's vmworld right the idea of what VMware is done by abstracting the control plane of networking with NSX you know prior to that integration to Sierra having talked with a lot of them to see our customers they're super happy with it but prior to that it only worked with open V switch which meant it was you know reserved for the customers who are going all-in with kvm and with Zen now in vsphere 55 it supports the distributive V switch in vsphere which means that idea of network virtualization can be applied to a large swath of customers and likewise vmware is doing the same thing for the control plane of storage which you know Stu that was starting even when you were intimately involved at it when you were at emc absolutely around control abstraction using Vasa and and the early ideas of V vols and the other thing that's going on is they're disrupting the data services plane by becoming a storage vendor with their own storage stack with v Sam yeah and we're going to talk about that yeah for sure in a second I got some time on gots do so that's it that's just your wheel so on the storage piece you know unpack for us a little bit Chad you know we talked about storage becoming invisible and we'll talk about in the network space you know what is the value of the storage array of the storage stack itself and how does that play with VMware especially as we look down to everybody's showing bball so look the name of the game is hyper automation in the end it's not storage it's not networking it's not even compute right and we talked about in the past that the design and the dream of the software-defined data center we use different words for it back you know four years ago but the vision of joe and and all of the parts of the federation of emc vmware and now the third one pivotal is to try and say how do we make all the infrastructure in essence invisible pivot even takes it further by just saying hey we'll just use paths and and get rid of even all the measures are going service for years ago right I remember it well they so really do that yes so so that the reason for it is is that it sucks when you try to provision something a workload whatever the workload maybe and the tail the long tail in the process is touching the physical infrastructure of storage networking and compute virtualization historically has tackled and I would call that problem for compute in essence solved can there be improvements for compute sure bigger faster stronger right in storage land inevitably you know we move from the stage of you talk to the storage person they provision something to you to the storage person provisions a pool of something and then you can automate that and deuce from vsphere and use it through plugins and automation ultimately though you would not even want to have that step you'd want to have the storage advertise its capabilities and then when the vm gets created it says I want out of that catalog of services this stuff and that's what Vasa and whole storage policy based management stuff from vSphere 50 51 and now 55 we're all about in networking land you don't want to have to configure VLANs you don't want to have to configure firewalls you want it to be all able to be done programmatically an only way to do that is if you can like we're just talked about with storage and with compute abstract out the network topology yeah I mean I really look at it what we've always said is we need to get rid of that undifferentiated heavy lifting so that the question I have there's there's a lot of startups in this space that have built their products for this new generation builds is a vm aware if you will or just just simple simple and the critique on emc is that this is legacy equipment and well it might be integrated and you're updating it you know this was still legacy architectures you know how does that fit into the new world so you know when you are the leader everybody will throw stones at you and occasionally even as the leader sometimes we throw stones at others and I don't like that right but I think you might be talking about our friends at perhaps tintri as an example well that they are one that they are built for virtual environments absolutely and if you take a look at it what everyone who is in this space new players emerging players we're trying to today hack at that problem tintri to write because there's no constructs at the vSphere layer for vm awareness what they do in their Nasdaq we do in our Nasdaq is to say AHA file is an object a file can be snapped a file can be replicated and if we hyper couple it into vSphere using plugins and extensions we can then manage and operate on those files right now again I'm not saying that our implement eight it's up to the customers to decide about whether emcs is better or ten trees is better and ultimately the customers choose right but basically we're all kind of trying to hack at that because right now Vasa which is the official policy communication vehicle only operates on data stores data store unit of granularity right V vols has always been the target of how we would all as an industry do that right so i would i would argue that what we showed today about you know recoverpoint and the splitter driver and being able to do tivo like functionality for a vm or replicate for a vm i would argue we more than hold our own with the competition but the right answer ultimately is actually to keep going down the path of V vols in the evolution of vaasa so that you know it can be done correctly and not fake vm awareness but actually have fundamental vm awareness I so since we started on storage I got to chime in here so a couple things so I asked Pat this this morning and his response was essentially hey it's all good these guys are on board but I'm skeptical so about what here's the here's the about what so as I said sort of off-camera Microsoft and Oracle I've already been grabbing storage function and their narrow little parts of the world but you p.m. seen a nap everybody else you've seen NEP but particularly Mabel to find ways to add value I compete very effectively there iam VMware's this horizontal player mm-hm and doing something like v san yep you know its nose software-defined this is you know the future I said to Pat well don't guys like EMC and netapp and shirts certainly HP and itachi and IBM etc don't they want to do their own software-defined he goes yes but they're sort of bought bought into this and what do you think about that as a salt as emc I think I think I don't know whether it's right to say it on camera or not I think that basically as NSX was announced and v san has been announced and everybody in the industry is known that these things are coming you know you could hear audibly people's uh what this what the you know you know you're kind of a cisco right of these in I mean so V sans idea of saying hey I'm going to glom the storage that's in the server the dads the flash the pcie-based flash and use it as a distributed storage layer is a good idea it's an idea that is real and innovation is non containable as as Pat would say you know he's a super fan of andy grove right you know is his mentor Andy Grove had a famous quote that basically said innovation can't be stopped if the incumbents don't do it new startups will arrive that will do it yeah no that's that's fair right Sam Palmisano as well said you're going to get commoditized no matter what so so but the key thing is that it will take some time for V Santa mature the 10 target was correctly positioned in the in the keynotes as use it for non-persistent VDI use it for tests and Dev customers are slowly starting to grok the idea of hey wait a second this thing by definition has to create multiple copies of the data on multiple servers so it's space efficiency is not as good right but I think what's going to occur is your people are going to start to use it and they're gonna dig it yeah they're going to want more and they're going to want more which is great right now from our standpoint EMC sales reps may not like it but EMC likes it because you know what there are portions in the market where we have had great success taking lots of share continue to outgrow the competition but there's other places where we frankly fail to serve properly and if those customers choose v san kumbaya customer happy shareholder happy it's all good right v san will expand though right and in fact as a company we embrace the idea of a software-only data service and this is a data plane thing not a control plane thing that's why we acquired scale io recently right because we're looking a look v san will be the answer for customers who love vmware and our 100% vmware and i talked to a big one today who are like yep that's us likewise i talked to a huge one that were like nope we need an answer that's like v san but works with kvm Zen and hyper-v and vsphere some people like their stacks to lock in at one point and their trade that off and your surveys showed that yeah yeah others about half a woman to live with that right and get function they get function and simplicity right and V San will be phenomenal at that as people are seeing now right i've been using the beta for a long time so I know what but the reality of it is that it's going to be a broad kind of ecosystem of traditional storage stacks embedded into hypervisor storage stacks ones that are packaged as bring your own server akv San and scale IO type things ones that are packaged as will give you the server to new tannic simplicity we live in a beautiful chaotic works hope so boyer in this piece the piece that he had stew did took a little shot at the cartel and you didn't like that you thought you shot back so no that is absolutely not not how we roll it's not how are you roll so so how do you roll hotel eat what you kill Isaac cuts hit it you know so listen to be very blunt I'd be lying if I didn't said that there weren't moments whereas EMC we don't get frustrated that hey you know VMware you you should always work with us right again it happens more in the in the field rather than from a you know our headquarters standpoint right there's times where VMware gets really grumpy when EMC is supporting hyper V or OpenStack and a customer right there's times where vmware is really angry that pivotal runs on AWS and like the announcement earlier this week was hey it works great on vsphere like so think about how weird that is it's been like running on AWS for a while now it runs on vsphere and I bchs right Joe is I think Joe Tucci i think i have an insane amount of respect for that guy he was wise enough to go i need to resist the temptation to simplify for our own internal purposes and create lock-in from the past stack through the app stack through that you know vmware stack through the emc sec and instead say you must all fight for the customer independently and EMC you have to pursue it assuming that VMware isn't a constant VMware you must pursue it as if EMC is certainly not a constant pivotal you should pursue it as if neither one of them is a constant now the one thing that I would highlight to everybody who's watching is don't understand miss understand what I'm saying at the same time whenever one of them is not the best choice for the other jogos hey hey what's up guys it's got this yeah who's got this ball so when V CHS was being stood up and they were looking at alternate storage choices Pat didn't say you have to use EMC but he knocked and said guys we're looking at different storage choices you better come in here and if you don't win on your own merits we'll go with someone else you know I think thankfully they did right and we made that argument you're saying if part of Pat's 50 billion dollar cam comes out of AMC's hog well that's the MCS problem they got to figure out how to shore it up yeah we have to figure out how to compete Chad wonder if you know you own the global se forth you know for emc in this ever complicated world it was you know it wasn't easy when you created the V specialist force but it was focused on VMware and they got a lot of weight behind that there were product managers marketing people all with vmware yep titles inside emc in this world of OpenStack and you know hyper-v and kvm how do you deal with that in the field so so that's a great question man so the first observation just while there is diversity right your survey reflects what I tend to find at my customers right which is overwhelmingly VMware within the enterprise use of some k VMS and OpenStack you know where they would have used vSphere or or the vcloud suite a little bit of dabbling in the enterprise some enterprise customers more than others the cloud service cloud service providers far more right when we were doing the V specialist thing it was an effort to rapidly ramp things up and so we built small focused team small focused product managers what's now happened over the last four years is you know if you think back man like EMC was like a no-show at vmworld 2006 right we our company got the memo focused in we won the best storage choice for VMware deepest integration blah blah blah the what's HAP makes me very happy now is that's now embedded into the product teams it no longer requires a someone watching it just happens organically gooood from a field standpoint the V specialist role many of those V specialists are now leaders of the SE orgs and all sorts of functions so it's no longer somebody thing it's now on everybody thing right but the V specialist mission which used to be makes sure that emc is the best choice for VMware has broadened out to really be best choice for the vcloud suite and VMware stack and also OpenStack to understand and reflect the fact that it's a it's a dynamic open world so so we brought to get in the hook and made me talk about networking so we're just going to ignore the hook for now and talk about networking so NSX yes awesome we saw Martines yeah a little demo up there but it's not going to be that simple why is networking so so hard and you now remember 2009 yeah showed us the roadmap yep now we're here where's it's so first things first what he demoed it is actually that simple if you can constrain a whole bunch of parameters right so if you can constrain yourself to every endpoint is a distributed virtual switch or an open V switch like that thermodynamics problem you can so know what I'm talking about so so if some assumptions its simplify rate they write it if you can if you can constrain it and say everything is connected to a distributive e switch from VMware or an open V switch from kvm and Zen and you assume that the net physical network layer is a bottomless pit of bandwidth and latency in other words you know that there will never be a contention you know at the core networking layer it actually is really that easy right now that may sound like Chad those two constraints are stupid they're not actually that stupid right within the core data center bandwidth is very easy to apply it's much easier to say I'll deploy 10 gige and then go to 40 gig e than it is to hyper design the data center with qos and manage the you know customers have demonstrated time and time again that they'll just go from one gig to 10 gig to 48 to 100 gig rather than trying to hyper engineer the whole thing inside the data center in the wam different story right right also I mean it is a true statement to say in a service provider and in most enterprises eighty ninety percent of their workloads do finish on a thing that is attached to a distributive virtual switch or a physical switch right now where it's going to get funky is that obviously I think NSX is perhaps out there in front in terms of SDN land but they're not alone you know there were lots of partners and we know that cisco has got some cool stuff that they talked about at Cisco live and that our are coming right and you can't you know this goes an amazing company and they have many beloved customers and CC IES and CCNA s around the globe that you know are going to be very interested to see what since you been see I mean interesting play and you can read all about it online and people speculation sure yeah it's going to it's going to be cool though I mean I think one thing that is fun to remember is like innovation is non-stop about it'sit's disruptions or can't be stopped they're going to happen no matter where and in the end it's fundamentally all good for the customer whether it's real CVM where NSX whatever what I love and I said this the pet and I said this did Paul Moretz when I first heard his you know vision I said you guys vmware is ambitious you know if nothing else its ambitious and it's executed on that ambition so it's toss them to watch oh and you know stay tuned for next week September the fourth speed to lead there's some exciting stuff coming from EMC we generally have learned over the years that it's not a good idea to do mega launches and big things during this week because like you said this is this is vmware show and it's the greatest show on earth right yeah okay so we'll stay tuned for that will be watching hi Chad thanks very much for coming on the cubase oh it's my pleasure guys thank you so much I keep right there buddy we're right back after this quick word

okay we're back live here at the OpenStack summit in Portland Oregon I'm John furry the founder SiliconANGLE comment rose mykos Dave a latte from Wikibon org this is silicon angles the cube our flagship program we go out to the events and extract the signal from the noise and certainly here OpenStack there's not a lot of noise but a lot of signal a lot of developers a lot of use cases really really the Alpha geeks the practitioner is really putting new technology into place to power this modern era of computing cloud mobile and social David Floria we're here with Demetri stilly at us from nudge networks and mountain view welcome to the cube thank you David I want to get your take on this before we set up this interview because honestly we've heard from right scale there in the management side just previous we've had Rackspace on earlier there on the Omni on the provider side we had big switch-on software-defined networking and now Dimitri's company the software is eating the world what's your take on the SDN market right now relative to OpenStack relative to open saying well what you're clearly wanting to do in every part of it is separate out all of the different layers and you ought to be able to separate out the physical and the the logical and the the software is the way that that's going to be done so instead of having to have a switch which is a piece of hardware and the software you want to separate the two out so that you have the logical function and the physical function from from the two pieces so that's very important to be able to contribute to every layer take new technologies along with you and then define the software element of that as the piece that you keep constant as technologies themselves adjust so durable code we walk manageable and build on and we clean can take advantage of new technologies as they come along and obviously I coming back to you what are you contributing what I think needs to be contributing was the white space in that area that you're going after right so see when people started thinking about the cloud and OpenStack and to always kind of think they they quickly realize that the network is a fundamental piece right you have to start with the network you have to interconnect your components and so on the angle that we are taking is yes it's good with in your data center within your cloud you have to create this network services interconnect applications and so on but much more importantly you need to be able to dynamically connect these applications with your existing network services right so you have a large amount of enterprise VPN services you have hybrid clouds coming out so you need to be able the moment you activate a network service in the data center to be able to seamlessly interconnect this now with your enterprise side with other network services in other data centers in other clouds and so on right so the network is always a network of networks and we have to bring everything together we cannot just restrict ourselves with is the confinements of a single administrative model so that's that's a fundamental part of what we are trying to to bring here together okay and so how are you fitting in with the the network layer right so our view is say that first of all we need to talk both both languages if you don't think of it as a as a translation thing right so we need to understand the language of the cloud we need to understand the language of the application developers in the cloud they want to use some abstract mechanism to define their network services and install them if you want in the hypervisors and OpenStack quantum seems to be the prevalent way to do that so that's language number one but then we have all these thousands of networks out there where their language is bgp so what we are doing is we are marrying the two we allow you to codon define services in OpenStack and we allow you to define the mekinese between interconnect the service is automatically with all the other networks that are out there right so I call it sometimes we are just translating between languages all right a language translator live from an application point of view they want to consume resources and previously networks and the computers were the main things they consumed but it seems now that sorry computing and storage with the main things they consumed but it now it seems that networks themselves have to pay a much bigger role in providing a quality of service to those places Rick you've got a quality of service down in the nano seconds when you get to the server level and used to have milliseconds for the for the storage side it's now coming down to micro second what are you doing to make sure that that quality of service no it is not just the bandwidth but it's also the latency are you planning to marry that see the weight datacenter networks of all these people are quickly realizing that the same if you want principles that we used in order to build the Internet itself can be used inside the data center so if you think about the internet right in the internet there is voice services that is video services there is all these other services running and they are actually running by assuming you have a well-engineered IP network and then you run the service is at the edges if you want all that you push all the intelligence at the edges it's the same thing where the network on the data center is going the data center network becomes a very scalable IP fabric it it is very well managed if you want very well traffic engineer and you push the edges at the hypervisors you push essentially the services at the hypervisors where traffic is differentiated so if you see for example a tenant misbehaving you are going to block him at the hypervisor layer if you're going to provide us or map different tenants to different classes of traffic it's happening at the hypervisor so the center of the network behaves like a scalable IP fabric and all the intelligence it's pushed around the edges and the reason you want to do that is because this allows you the ultimate scalability right the network or doesn't need to know about every flow that goes into the through through the corner of the network there right you don't need to know the IP addresses of virtual machines you don't need to know what individual virtual machines no need to know I want to do there you just need to worry about aggregates so you can engineer and scale the core make it very cheap and because you make it very tip you can increase the capacity at the core and you can say distribute all the intelligence at the edges of the network right but so you said that you can do the hypervisor and that's obviously on the compute side that side of it but what about the data network isn't that a don't you need to regulate the priorities and flex all the data through and isn't that today that's that's a very big part of it yes but it is still happening at the hypervisor right the the first touch of it enough an application with a network it is not anymore the top of rack sheets let's say on the data center but it does it is actually the hypervisor virtual sheets right that's the first time that you see a packet when a packet comes out of a virtual machine the first time you see it is at the hypervisor itself and at this layer when the first time you see the bucket of the hypervisor itself is where you apply all your policies right in other words the edge of the network is not the hardware is not the switch on the top of rack the edge of the network is inside the server now ok yeah ok excellent so I want to ask you we have a couple minutes left here I wanted we have two minutes less I want to get your perspective on the state of the business around OpenStack what is your view ok because your chief architects you're looking at the tech yes and you but you have to intersect the business objectives what are you seeing as the core business drivers that are that are causing you to make your technology in a certain way right so it's clear that what people want to do is they they want to provide this ability to their end users to consume services rapidly right that is what is driving this call OpenStack development and more important the community came together in order to unify view on the core engine and the core AP is in order to make this consumption of services very easy and in order to allow the application developers to move from one cloud to the other and so on right what we do is what we try to do is in addition is expanding view on this model amazing the network as consumable as the storage and compute facilities right and I'm not talking just about the network in the data center I'm talking about also the network in the way that the service in the data center of a cloud provider will interconnect with the enterprise read if you see then the next if you want Holy Grail that everybody is talking about is the hybrid cloud the hybrid cloud is only possible if you can connect the network and the services in the service provider cloud with a network and services in the in the in the enterprise itself right so they what links the two together is the network so we have to make this network to be consumable final question for you is actually DevOps is a mindset we heard from right scale that that adoption is in mainstream enterprises and service providers but the word infrastructure as code is becoming more popular outside of the the geeks and the album the architects the coders what in your mind how would you describe infrastructure as code to the folks out there give it a try it's okay no right answer it's a moving target that's what it is realities it's that the applications and code is a living organization it's constantly changing and you cannot assume at any point it's static right it's not there it's not the good old days if you want and that's what it really means right it's a living organism it it will constantly adapt to the new to the new requirements out there like switches in the old days you knew exactly ports and you you knew i was going now it's all kinds of weird stuff happening right it's all stuff you you have to be you you have to accept change if you want right so it's the actually there is a there is an okay Isaac Asimov code right there another the author of the science fiction yes that's the only constant is change yeah we should be no project just on the network genome here Software Defined Networking Dmitry stylianos thanks for jumping inside the cube again you're here like with a lot of the chief architects making things happen congratulations thanks for joining us thank you we'll be right back with more analysis from David's lawyer after the at break on a breakdown day 1 and day chu here in more depth from the analysts here at opens Dec 2 SiliconANGLE Gibbons exclusive coverage of OpenStack summit be right back