>> We're back at the ARIA Las Vegas. We're covering CrowdStrike's Fal.Con 22. First one since 2019. Dave Vellante and Dave Nicholson on theCUBE. Adam Meyers is here, he is the Senior Vice President of Intelligence at CrowdStrike. Adam, thanks for coming to theCUBE. >> Thanks for having me. >> Interesting times, isn't it? You're very welcome. Senior Vice President of Intelligence, tell us what your role is. >> So I run all of our intelligence offerings. All of our analysts, we have a couple hundred analysts that work at CrowdStrike tracking threat actors. There's 185 threat actors that we track today. We're constantly adding more of them and it requires us to really have that visibility and understand how they operate so that we can inform our other products: our XDR, our Cloud Workload Protections and really integrate all of this around the threat actor. >> So it's that threat hunting capability that CrowdStrike has. That's what you're sort of... >> Well, so think of it this way. When we launched the company 11 years ago yesterday, what we wanted to do was to tell customers, to tell people that, well, you don't have a malware problem, you have an adversary problem. There are humans that are out there conducting these attacks, and if you know who they are what they're up to, how they operate then you're better positioned to defend against them. And so that's really at the core, what CrowdStrike started with and all of our products are powered by intelligence. All of our services are our OverWatch and our Falcon complete, all powered by intelligence because we want to know who the threat actors are and what they're doing so we can stop them. >> So for instance like you can stop known malware. A lot of companies can stop known malware, but you also can stop unknown malware. And I infer that the intelligence is part of that equation, is that right? >> Absolutely. That that's the outcome. That's the output of the intelligence but I could also tell you who these threat actors are, where they're operating out of, show you pictures of some of them, that's the threat intel. We are tracking down to the individual persona in many cases, these various threats whether they be Chinese nation state, Russian threat actors, Iran, North Korea, we track as I said, quite a few of these threats. And over time, we develop a really robust deep knowledge about who they are and how they operate. >> Okay. And we're going to get into some of that, the big four and cyber. But before we do, I want to ask you about the eCrime index stats, the ECX you guys call it a little side joke for all your nerds out there. Maybe you could explain that Adam >> Assembly humor. >> Yeah right, right. So, but, what is that index? You guys, how often do you publish it? What are you learning from that? >> Yeah, so it was modeled off of the Dow Jones industrial average. So if you look at the Dow Jones it's a composite index that was started in the late 1800s. And they took a couple of different companies that were the industrial component of the economy back then, right. Textiles and railroads and coal and steel and things like that. And they use that to approximate the overall health of the economy. So if you take these different stocks together, swizzle 'em together, and figure out some sort of number you could say, look, it's up. The economy's doing good. It's down, not doing so good. So after World War II, everybody was exuberant and positive about the end of the war. The DGI goes up, the oil crisis in the seventies goes down, COVID hits goes up, sorry, goes down. And then everybody realizes that they can use Amazon still and they can still get the things they need goes back up with the eCrime index. We took that approach to say what is the health of the underground economy? When you read about any of these ransomware attacks or data extortion attacks there are criminal groups that are working together in order to get things spammed out or to buy credentials and things like that. And so what the eCrime index does is it takes 24 different observables, right? The price of a ransom, the number of ransom attacks, the fluctuation in cryptocurrency, how much stolen material is being sold for on the underground. And we're constantly computing this number to understand is the eCrime ecosystem healthy? Is it thriving or is it under pressure? And that lets us understand what's going on in the world and kind of contextualize it. Give an example, Microsoft on patch Tuesday releases 56 vulnerabilities. 11 of them are critical. Well guess what? After hack Tuesday. So after patch Tuesday is hack Wednesday. And so all of those 11 vulnerabilities are exploitable. And now you have threat actors that have a whole new array of weapons that they can deploy and bring to bear against their victims after that patch Tuesday. So that's hack Wednesday. Conversely we'll get something like the colonial pipeline. Colonial pipeline attack May of 21, I think it was, comes out and all of the various underground forums where these ransomware operators are doing their business. They freak out because they don't want law enforcement. President Biden is talking about them and he's putting pressure on them. They don't want this ransomware component of what they're doing to bring law enforcement, bring heat on them. So they deplatform them. They kick 'em off. And when they do that, the ransomware stops being as much of a factor at that point in time. And the eCrime index goes down. So we can look at holidays, and right around Thanksgiving, which is coming up pretty soon, it's going to go up because there's so much online commerce with cyber Monday and such, right? You're going to see this increase in online activity; eCrime actors want to take advantage of that. When Christmas comes, they take vacation too; they're going to spend time with their families, so it goes back down and it stays down till around the end of the Russian Orthodox Christmas, which you can probably extrapolate why that is. And then it goes back up. So as it's fluctuating, it gives us the ability to really just start tracking what that economy looks like. >> Realtime indicator of that crypto. >> I mean, you talked about, talked about hack Wednesday, and before that you mentioned, you know, the big four, and I think you said 185 threat actors that you're tracking, is 180, is number 185 on that list? Somebody living in their basement in their mom's basement or are the resources necessary to get on that list? Such that it's like, no, no, no, no. this is very, very organized, large groups of people. Hollywood would have you believe that it's guy with a laptop, hack Wednesday, (Dave Nicholson mimics keyboard clacking noises) and everything done. >> Right. >> Are there individuals who are doing things like that or are these typically very well organized? >> That's a great question. And I think it's an important one to ask and it's both it tends to be more, the bigger groups. There are some one-off ones where it's one or two people. Sometimes they get big. Sometimes they get small. One of the big challenges. Have you heard of ransomware as a service? >> Of course. Oh my God. Any knucklehead can be a ransomwarist. >> Exactly. So we don't track those knuckleheads as much unless they get onto our radar somehow, they're conducting a lot of operations against our customers or something like that. But what we do track is that ransomware as a service platform because the affiliates, the people that are using it they come, they go and, you know, it could be they're only there for a period of time. Sometimes they move between different ransomware services, right? They'll use the one that's most useful for them that that week or that month, they're getting the best rate because it's rev sharing. They get a percentage that platform gets percentage of the ransom. So, you know, they negotiate a better deal. They might move to a different ransomware platform. So that's really hard to track. And it's also, you know, I think more important for us to understand the platform and the technology that is being used than the individual that's doing it. >> Yeah. Makes sense. Alright, let's talk about the big four. China, Iran, North Korea, and Russia. Tell us about, you know, how you monitor these folks. Are there different signatures for each? Can you actually tell, you know based on the hack who's behind it? >> So yeah, it starts off, you know motivation is a huge factor. China conducts espionage, they do it for diplomatic purposes. They do it for military and political purposes. And they do it for economic espionage. All of these things map to known policies that they put out, the Five Year Plan, the Made in China 2025, the Belt and Road Initiative, it's all part of their efforts to become a regional and ultimately a global hegemon. >> They're not stealing nickels and dimes. >> No they're stealing intellectual property. They're stealing trade secrets. They're stealing negotiation points. When there's, you know a high speed rail or something like that. And they use a set of tools and they have a set of behaviors and they have a set of infrastructure and a set of targets that as we look at all of these things together we can derive who they are by motivation and the longer we observe them, the more data we get, the more we can get that attribution. I could tell you that there's X number of Chinese threat groups that we track under Panda, right? And they're associated with the Ministry of State Security. There's a whole other set. That's too associated with the People's Liberation Army Strategic Support Force. So, I mean, these are big operations. They're intelligence agencies that are operating out of China. Iran has a different set of targets. They have a different set of motives. They go after North American and Israeli businesses right now that's kind of their main operation. And they're doing something called hack and lock and leak. With a lock and leak, what they're doing is they're deploying ransomware. They don't care about getting a ransom payment. They're just doing it to disrupt the target. And then they're leaking information that they steal during that operation that brings embarrassment. It brings compliance, regulatory, legal impact for that particular entity. So it's disruptive >> The chaos creators that's.. >> Well, you know I think they're trying to create a they're trying to really impact the legitimacy of some of these targets and the trust that their customers and their partners and people have in them. And that is psychological warfare in a certain way. And it, you know is really part of their broader initiative. Look at some of the other things that they've done they've hacked into like the missile defense system in Israel, and they've turned on the sirens, right? Those are all things that they're doing for a specific purpose, and that's not China, right? Like as you start to look at this stuff, you can start to really understand what they're up to. Russia very much been busy targeting NATO and NATO countries and Ukraine. Obviously the conflict that started in February has been a huge focus for these threat actors. And then as we look at North Korea, totally different. They're doing, there was a major crypto attack today. They're going after these crypto platforms, they're going after DeFi platforms. They're going after all of this stuff that most people don't even understand and they're stealing the crypto currency and they're using it for revenue generation. These nuclear weapons don't pay for themselves, their research and development don't pay for themselves. And so they're using that cyber operation to either steal money or steal intelligence. >> They need the cash. Yeah. >> Yeah. And they also do economic targeting because Kim Jong Un had said back in 2016 that they need to improve the lives of North Koreans. They have this national economic development strategy. And that means that they need, you know, I think only 30% of North Korea has access to reliable power. So having access to clean energy sources and renewable energy sources, that's important to keep the people happy and stop them from rising up against the regime. So that's the type of economic espionage that they're conducting. >> Well, those are the big four. If there were big five or six, I would presume US and some Western European countries would be on there. Do you track, I mean, where United States obviously has you know, people that are capable of this we're out doing our thing, and- >> So I think- >> That defense or offense, where do we sit in this matrix? >> Well, I think the big five would probably include eCrime. We also track India, Pakistan. We track actors out of Columbia, out of Turkey, out of Syria. So there's a whole, you know this problem is getting worse over time. It's proliferating. And I think COVID was also, you know a driver there because so many of these countries couldn't move human assets around because everything was getting locked down. As machine learning and artificial intelligence and all of this makes its way into the cameras at border and transfer points, it's hard to get a human asset through there. And so cyber is a very attractive, cheap and deniable form of espionage and gives them operational capabilities, not, you know and to your question about US and other kind of five I friendly type countries we have not seen them targeting our customers. So we focus on the threats that target our customers. >> Right. >> And so, you know, if we were to find them at a customer environment sure. But you know, when you look at some of the public reporting that's out there, the malware that's associated with them is focused on, you know, real bad people, and it's, it's physically like crypted to their hard drive. So unless you have sensor on, you know, an Iranian or some other laptop that might be target or something like that. >> Well, like Stuxnet did. >> Yeah. >> Right so. >> You won't see it. Right. See, so yeah. >> Well Symantec saw it but way back when right? Back in the day. >> Well, I mean, if you want to go down that route I think it actually came from a company in the region that was doing the IR and they were working with Symantec. >> Oh, okay. So, okay. So it was a local >> Yeah. I think Crisis, I think was the company that first identified it. And then they worked with Symantec. >> It Was, they found it, I guess, a logic controller. I forget what it was. >> It was a long time ago, so I might not have that completely right. >> But it was a seminal moment in the industry. >> Oh. And it was a seminal moment for Iran because you know, that I think caused them to get into cyber operations. Right. When they realized that something like that could happen that bolstered, you know there was a lot of underground hacking forums in Iran. And, you know, after Stuxnet, we started seeing that those hackers were dropping their hacker names and they were starting businesses. They were starting to try to go after government contracts. And they were starting to build training offensive programs, things like that because, you know they realized that this is an opportunity there. >> Yeah. We were talking earlier about this with Shawn and, you know, in the nuclear war, you know the Cold War days, you had the mutually assured destruction. It's not as black and white in the cyber world. Right. Cause as, as Robert Gates told me, you know a few years ago, we have a lot more to lose. So we have to be somewhat, as the United States, careful as to how much of an offensive posture we take. >> Well here's a secret. So I have a background on political science. So mutually assured destruction, I think is a deterrent strategy where you have two kind of two, two entities that like they will destroy each other if they so they're disinclined to go down that route. >> Right. >> With cyber I really don't like that mutually assured destruction >> That doesn't fit right. >> I think it's deterrents by denial. Right? So raising the cost, if they were to conduct a cyber operation, raising that cost that they don't want to do it, they don't want to incur the impact of that. Right. And think about this in terms of a lot of people are asking about would China invade Taiwan. And so as you look at the cost that that would have on the Chinese military, the POA, the POA Navy et cetera, you know, that's that deterrents by denial, trying to, trying to make the costs so high that they don't want to do it. And I think that's a better fit for cyber to try to figure out how can we raise the cost to the adversary if they operate against our customers against our enterprises and that they'll go someplace else and do something else. >> Well, that's a retaliatory strike, isn't it? I mean, is that what you're saying? >> No, definitely not. >> It's more of reducing their return on investment essentially. >> Yeah. >> And incenting them- disincening them to do X and sending them off somewhere else. >> Right. And threat actors, whether they be criminals or nation states, you know, Bruce Lee had this great quote that was "be like water", right? Like take the path of least resistance, like water will. Threat actors do that too. So, I mean, unless you're super high value target that they absolutely have to get into by any means necessary, then if you become too hard of a target, they're going to move on to somebody that's a little easier. >> Makes sense. Awesome. Really appreciate your, I could, we'd love to have you back. >> Anytime. >> Go deeper. Adam Myers. We're here at Fal.Con 22, Dave Vellante, Dave Nicholson. We'll be right back right after this short break. (bouncy music plays)

(calm electronic music) >> Okay, welcome back everyone to theCUBE's coverage here live in New York City for AWS Summit 2022. I'm John Furrier, host of theCUBE, but a great conversation here as the day winds down. First of all, 10,000 plus people, this is a big event, just New York City. So sign of the times that some headwinds are happening? I don't think so, not in the cloud enterprise innovation game. Lot going on, this innovation conversation we're going to have now is about the confluence of cloud scale integration data and the future of how FinTech and other markets are going to change with technology. We got Chris Thomas, the CTO of Slalom, and Rob Krugman, chief digital officer at Broadridge. Gentlemen, thanks for coming on theCUBE. >> Thanks for having us. >> So we had a talk before we came on camera about your firm, what you guys do, take a quick minute to just give the scope and size of your firm and what you guys work on. >> Yeah, so Broadridge is a global financial FinTech company. We work on, part of our business is capital markets and wealth, and that's about a third of our business, about $7 trillion a day clearing through our platforms. And then the other side of our business is communications where we help all different types of organizations communicate with their shareholders, communicate with their customers across a variety of different digital channels and capabilities. >> Yeah, and Slalom, give a quick one minute on Slalom. I know you guys, but for the folks that don't know you. >> Yeah, no problem. So Slalom is a modern consulting firm focused on strategy, technology, and business transformation. And me personally, I'm part of the element lab, which is focused on forward thinking technology and disruptive technology in the next five to 10 years. >> Awesome, and that's the scope of this conversation. The next five to 10 years, you guys are working on a project together, you're kind of customer partners. You're building something. What are you guys working on? I can't wait to jump into it, explain. >> Sure, so similar to Chris, at Broadridge, we've created innovation capability, innovation incubation capability, and one of the first areas we're experimenting in is digital assets. So what we're looking to do is we're looking at a variety of different areas where we think consolidation network effects that we could bring can add a significant amount of value. And so the area we're working on is this concept of a wallet of wallets. How do we actually consolidate assets that are held across a variety of different wallets, maybe traditional locations- >> Digital wallets. >> Digital wallets, but maybe even traditional accounts, bring that together and then give control back to the consumer of who they want to share that information with, how they want their transactions to be able to control. So the idea of, people talk about Web 3 being the internet of value. I often think about it as the internet of control. How do you return control back to the individual so that they can make decisions about how and who has access to their information and assets? >> It's interesting, I totally like the value angle, but your point is what's the chicken and the egg here, the cart before the horse, you can look at it both ways and say, okay, control is going to drive the value. This is an interesting nuance, right? >> Yes, absolutely. >> So in this architectural world, they thought about the data plane and the control plane. Everyone's trying to go old school, middleware thinking. Let's own the data plane, we'll win everything. Not going to happen if it goes decentralized, right, Chris? >> Yeah, yeah. I mean, we're building a decentralized application, but it really is built on top of AWS. We have a serverless architecture that scales as our business scales built on top of things like S3, Lambda, DynamoDB, and of course using those security principles like Cognito and AWS Gateway, API Gateway. So we're really building an architecture of Web 3 on top of the Web 2 basics in the cloud. >> I mean, all evolutions are abstractions on top of each other, IG, DNS, Key, it goes the whole nine yards. In digital, at least, that's the way. Question about serverless real quick. I saw that Redshift just launched general availability of serverless in Redshift? >> Yes. >> You're starting to see the serverless now part of almost all the services in AWS. Is that enabling that abstraction, because most people don't see it that way. They go, oh, well, Amazon's not Web 3. They got databases, you could use that stuff. So how do you connect the dots and cross the bridge to the future with the idea that I might not think Web 2 or cloud is Web 3? >> I'll jump in quick. I mean, I think it's the decentralize. If you think about decentralization. serverless and decentralization, you could argue are the same way of, they're saying the same thing in different ways. One is thinking about it from a technology perspective. One is thinking about it from an ecosystem perspective and how things come together. You need serverless components that can talk to each other and communicate with each other to actually really reach the promise of what Web 3 is supposed to be. >> So digital bits or digital assets, I call it digital bits, 'cause I think zero ones. If you digitize everything and everything has value or now control drives the value. I could be a soccer team. I have apparel, I have value in my logos, I have photos, I have CUBE videos. I mean some say that this should be an NFT. Yeah, right, maybe, but digital assets have to be protected, but owned. So ownership drives it too, right? >> Absolutely. >> So how does that fit in, how do you explain that? 'Cause I'm trying to tie the dots here, connect the dots and tie it together. What do I get if I go down this road that you guys are building? >> So I think one of the challenges of digital assets right now is that it's a closed community. And I think the people that play in it, they're really into it. And so you look at things like NFTs and you look at some of the other activities that are happening and there are certain naysayers that look at it and say, this stuff is not based upon value. It's a bunch of artwork, it can't be worth this. Well, how about we do a time out there and we actually look at the underlying technology that's supporting this, the blockchain, and the potential ramifications of that across the entire financial ecosystem, and frankly, all different types of ecosystems of having this immutable record, where information gets stored and gets sent and the ability to go back to it at all times, that's where the real power is. So I think we're starting to see. We've hit a bit of a hiccup, if you will, in the cryptocurrencies. They're going to continue to be there. They won't all be there. A lot of them will probably disappear, but they'll be a finite number. >> What percentage of stuff do you think is vapor BS? If you had to pick an order of magnitude number. >> (laughs) I would say at least 75% of it. (John laughs) >> I mean, there's quite a few projects that are failing right now, but it's interesting in that in the crypto markets, they're failing gracefully. Because it's on the blockchain and it's all very transparent. Things are checked, you know immediately which companies are insolvent and which opportunities are still working. So it's very, very interesting in my opinion. >> Well, and I think the ones that don't have valid premises are the ones that are failing. Like Terra and some of these other ones, if you actually really looked at it, the entire industry knew these things were no good. But then you look at stable coins. And you look at what's going on with CBDCs. These are backed by real underlying assets that people can be comfortable with. And there's not a question of, is this going to happen? The question is, how quickly is it going to happen and how quickly are we going to be using digital currencies? >> It's interesting, we always talk about software, software as money now, money is software and gold and oil's moving over to that crypto. How do you guys see software? 'Cause we were just arguing in the queue, Dave Vellante and I, before you guys came on that the software industry pretty much does not exist anymore, it's open source. So everything's open source as an industry, but the value is integration, innovation. So it's not just software, it's the free. So you got to, it's integration. So how do you guys see this software driving crypto? Because it is software defined money at the end of the day. It's a token. >> No, I think that's absolutely one of the strengths of the crypto markets and the Web 3 market is it's governed by software. And because of that, you can build a trust framework. Everybody knows it's on the public blockchain. Everybody's aware of the software that's driving the rules and the rules of engagement in this blockchain. And it creates that trust network that says, hey, I can transact with you even though I don't know anything about you and I don't need a middleman to tell me I can trust you. Because this software drives that trust framework. >> Lot of disruption, lot of companies go out of business as a middleman in these markets. >> Listen, the intermediaries either have to disrupt themselves or they will be disrupted. I think that's what we're going to learn here. And it's going to start in financial services, but it's going to go to a lot of different places. I think the interesting thing that's happening now is for the first time, you're starting to see the regulators start to get involved. Which is actually a really good thing for the market. Because to Chris's point, transparency is here, how do you actually present that transparency and that trust back to consumers so they feel comfortable once that problem is solved. And I think everyone in the industry welcomes it. All of a sudden you have this ecosystem that people can play in, they can build and they can start to actually create real value. >> Every structural change that I've been involved in my 30 plus year career has been around inflection points. There was always some sort of underbelly. So I'm not going to judge crypto. It's been in the market for a while, but it's a good sign there's innovation happening. So as now, clarity comes into what's real. I think you guys are talking a conversation I think is refreshing because you're saying, okay, cloud is real, Lambda, serverless, all these tools. So Web 3 is certainly real because it's a future architecture, but it's attracting the young, it's a cultural shift. And it's also cooler than boring Web 2 and cloud. So I think the cultural shift, the fact that it's got data involved, there's some disruption around middleman and intermediaries, makes it very attractive to tech geeks. You look at, I read a stat, I heard a stat from a friend in the Bay Area that 30% of Cal computer science students are dropping out and jumping into crypto. So it's attracting the technical nerds, alpha geeks. It's a cultural revolution and there's some cool stuff going on from a business model standpoint. >> There's one thing missing. The thing that's missing, it's what we're trying to work on, I think is experience. I think if you're being honest about the entire marketplace, what you would agree is that this stuff is not easy to use today, and that's got to be satisfied. You need to do something that if it's the 85 year old grandma that wants to actually participate in these markets that not only can they feel comfortable, but they actually know how to do it. You can't use these crazy tools where you use these terms. And I think the industry, as it grows up, will satisfy a lot of those issues. >> And I think this is why I want to tie back and get your reaction to this. I think that's why you guys talking about building on top of AWS is refreshing, 'cause it's not dogmatic. Well, we can't use Amazon, it's not really Web 3. Well, a database could be used when you need it. You don't need to write everything through the blockchain. Databases are a very valuable capability, you get serverless. So all these things now can work together. So what do you guys see for companies that want to be Web 3 for all the good reasons and how do they leverage cloud specifically to get there? What are some things that you guys have learned that you can point to and share, you want to start? >> Well, I think not everything has to be open and public to everybody. You're going to want to have some things that are secret. You're going to want to encrypt some things. You're going to want to put some things within your own walls. And that's where AWS really excels. I think you can have the best of both worlds. So that's my perspective on it. >> The only thing I would add to it, so my view is it's 2022. I actually was joking earlier. I think I was at the first re:Invent. And I remember walking in and this was a new industry. >> It was tiny. >> This is foundational. Like cloud is not a, I don't view like, we shouldn't be having that conversation anymore. Of course you should build this stuff on top of the cloud. Of course you should build it on top of AWS. It just makes sense. And we should, instead of worrying about those challenges, what we should be worrying about are how do we make these applications easier to use? How do we actually- >> Energy efficient. >> How do we enable the promise of what these things are going to bring, and actually make it real, because if it happens, think about traditional assets. There's projects going on globally that are looking at how do you take equity securities and actually move them to the blockchain. When that stuff happens, boom. >> And I like what you guys are doing, I saw the news out through this crypto winter, some major wallet exchanges that have been advertising are hurting. Take me through what you guys are thinking, what the vision is around the wallet of wallets. Is it to provide an experience for the user or the market industry itself? What's the target, is it both? Share the design goals for the wallet of wallets. >> My favorite thing about innovation and innovation labs is that we can experiment. So I'll go in saying we don't know what the final answer is going to be, but this is the premise that we have. In this disparate decentralized ecosystem, you need some mechanism to be able to control what's actually happening at the consumer level. So I think the key target is how do you create an experience where the consumer feels like they're in control of that value? How do they actually control the underlying assets? And then how does it actually get delivered to them? Is it something that comes from their bank, from their broker? Is it coming from an independent organization? How do they manage all of that information? And I think the last part of it are the assets. It's easy to think about cryptos and NFTs, but thinking about traditional assets, thinking about identity information and healthcare records, all of that stuff is going to become part of this ecosystem. And imagine being able to go someplace and saying, oh, you need my information. Well, I'm going to give it to you off my phone and I'm going to give it to you for the next 24 hours so you can use it, but after that you have no access to it. Or you're my financial advisor, here's a view of what I actually have, my underlying assets. What do you recommend I do? So I think we're going to see an evolution in the market. >> Like a data clean room. >> Yeah, but that you control. >> Yes! (laughs) >> Yes! >> I think about it very similarly as well. As my journey into the crypto market has gone through different pathways, different avenues. And I've come to a place where I'm really managing eight different wallets and it's difficult to figure exactly where all my assets are and having a tool like this will allow me to visualize and aggregate those assets and maybe even recombine them in unique ways, I think is hugely valuable. >> My biggest fear is losing my key. >> Well, and that's an experience problem that has to be solved, but let me give you, my favorite use case in this space is, 'cause NFTs, right? People are like, what does NFTs really mean? Title insurance, right? Anyone buy a house or refinance your mortgage? You go through this crazy process that costs seven or eight thousand dollars every single time you close on something to get title insurance so they could validate it. What if that title was actually sitting on the chain, you got an NFT that you put in your wallet and when it goes time to sell your house or to refinance, everything's there. Okay, I'm the owner of the house. I don't know, JP Morgan Chase has the actual mortgage. There's another lien, there's some taxes. >> It's like a link tree in the wallet. (laughs) >> Yeah, think about it, you got a smart contract. Boom, closing happens immediately. >> I think that's one of the most important things. I think people look at NFTs and they think, oh, this is art. And that's sort of how it started in the art and collectable space, but it's actually quickly moving towards utilities and tokenization and passes. And that's where I think the value is. >> And ownership and the token. >> Identity and ownership, especially. >> And the digital rights ownership and the economics behind it really have a lot of scale 'cause I appreciate the FinTech angle you are coming from because I can now see what's going on here with you. It's like, okay, we got to start somewhere. Let's start with the experience. The wallet's a tough nut to crack, 'cause that requires defacto participation in the industry as a defacto standard. So how are you guys doing there? Can you give an update and then how can people get, what's the project called and how do people get involved? >> Yeah, so we're still in the innovation, incubation stages. So we're not launching it yet. But what I will tell you is what a lot of our focus is, how do we make these transactional things that you do? How do we make it easy to pull all your assets together? How do we make it easy to move things from one location to the other location in ways that you're not using a weird cryptographic numeric value for your wallet, but you actually can use real nomenclature that you can renumber and it's easy to understand. Our expectation is that sometime in the fall, we'll actually be in a position to launch this. What we're going to do over the summer is we're going to start allowing people to play with it, get their feedback, and we're going to iterate. >> So sandbox in when, November? >> I think launch in the fall, sometime in the fall. >> Oh, this fall. >> But over the summer, what we're expecting is some type of friends and family type release where we can start to realize what people are doing and then fix the challenges, see if we're on the right track and make the appropriate corrections. >> So right now you guys are just together on this? >> Yep. >> The opening up friends and family or community is going to be controlled. >> It is, yeah. >> Yeah, as a group, I think one thing that's really important to highlight is that we're an innovation lab. We're working with Broadridge's innovation lab, that partnership across innovation labs has allowed us to move very, very quickly to build this. Actually, if you think about it, we were talking about this not too long ago and we're almost close to having an internal launch. So I think it's very rapid development. We follow a lot of the- >> There's buy-in across the board. >> Exactly, exactly, and we saw lot of very- >> So who's going to run this? A Dow, or your companies, is it going to be a separate company? >> So to be honest, we're not entirely sure yet. It's a new product that we're going to be creating. What we actually do with it. Our thought is within an innovation environment, there's three things you could do with something. You can make it a product within the existing infrastructure, you can create a new business unit or you can spin it off as something new. I do think this becomes a product within the organization based upon it's so aligned to what we do today, but we'll see. >> But you guys are financing it? >> Yes. >> As collective companies? >> Yeah, right. >> Got it, okay, cool. Well, let us know how we can help. If you guys want to do a remote in to theCUBE. I would love the mission you guys are on. I think this is the kind of work that every company should be doing in the new R and D. You got to jump in the deep end and swim as fast as possible. But I think you can do it. I think that is refreshing and that's smart. >> And you have to do it quick because this market, I think the one thing we would probably agree on is that it's moving faster than we could, every week there's something else that happens. >> Okay, so now you guys were at Consensus down in Austin when the winter hit and you've been in the business for a long time, you got to know the industries. You see where it's going. What was the big thing you guys learned, any scar tissue from the early data coming in from the collaboration? Was there some aha moments, was there some oh shoot moments? Oh, wow, I didn't think that was going to happen. Share some anecdotal stories from the experience. Good, bad, and if you want to be bold say ugly, too. >> Well, I think the first thing I want to say about the timing, it is the crypto winter, but I actually think now's a really great time to build something because everybody's continuing to build. Folks are focused on the future and that's what we are as well. In terms of some of the challenges, well, the Web 3 space is so new. And there's not a way to just go online and copy somebody else's work and rinse and repeat. We had to figure a lot of things on our own. We had to try different technologies, see which worked better and make sure that it was functioning the way we wanted it to function. Really, so it was not easy. >> They oversold that product out, that's good, like this team. >> But think about it, so the joke is that when winter is when real work happens. If you look at the companies that have not been affected by this it's the infrastructure companies and what it reminds me of, it's a little bit different, but 2001, we had the dot com bust. The entire industry blew up, but what came out of that? >> Everything that exists. >> Amazon, lots of companies grew up out of that environment. >> Everything that was promoted actually happened. >> Yes, but you know what didn't happen- >> Food delivery. >> But you know what's interesting that didn't happen- >> (laughs) Pet food, the soccer never happened. >> The whole Super Bowl, yes. (John laughs) In financial services we built on top of legacy. I think what Web 3 is doing, it's getting rid of that legacy infrastructure. And the banks are going to be involved. There's going to be new players and stuff. But what I'm seeing now is a doubling down of the infrastructure investment of saying okay, how do we actually make this stuff real so we can actually show the promise? >> One of the things I just shared, Rob, you'd appreciate this, is that the digital advertising market's changing because now banner ads and the old techniques are based on Web 2 infrastructure, basically DNS as we know it. And token problems are everywhere. Sites and silos are built because LinkedIn doesn't share information. And the sites want first party data. It's a hoarding exercise, so those practices are going to get decimated. So in comes token economics, that's going to get decimated. So you're already seeing the decline of media. And advertising, cookies are going away. >> I think it's going to change, it's going to be a flip, because I think right now you're not in control. Other people are in control. And I think with tokenomics and some of the other things that are going to happen, it gives back control to the individual. Think about it, right now you get advertising. Now you didn't say I wanted this advertising. Imagine the value of advertising when you say, you know what, I am interested in getting information about this particular type of product. The lead generation, the value of that advertising is significantly higher. >> Organic notifications. >> Yeah. >> Well, gentlemen, I'd love to follow up with you. I'm definitely going to ping in. Now I'm going to put CUBE coin back on the table. For our audience CUBE coin's coming. Really appreciate it, thanks for sharing your insights. Great conversation. >> Excellent, thank you for having us. >> Excellent, thank you so much. >> theCUBE's coverage here from New York City. I'm John Furrier, we'll be back with more live coverage to close out the day. Stay with us, we'll be right back. >> Excellent. (calm electronic music)

>> From theCUBE Studios in Palo Alto in Boston, bringing you data driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. >> After a two-year epic run in tech, 2022 has been an epically bad year. Through yesterday, The NASDAQ composite is down 30%. The S$P 500 is off 21%. And the Dow Jones Industrial average 16% down. And the poor holders at Bitcoin have had to endure a nearly 60% decline year to date. But judging by the attendance and enthusiasm, in major in-person tech events this spring. You'd never know that tech was in the tank. Moreover, walking around the streets of Las Vegas, where most tech conferences are held these days. One can't help but notice that the good folks of Main Street, don't seem the least bit concerned that the economy is headed for a recession. Hello, and welcome to this weeks Wiki Bond Cube Insights powered by ETR. In this Breaking Analysis we'll share our main takeaways from the first half of 2022. And talk about the outlook for tech going forward, and why despite some pretty concerning headwinds we remain sanguine about tech generally, but especially enterprise tech. Look, here's the bumper sticker on why many folks are really bearish at the moment. Of course, inflation is high, other than last year, the previous inflation high this century was in July of 2008, it was 5.6%. Inflation has proven to be very, very hard to tame. You got gas at $7 dollars a gallon. Energy prices they're not going to suddenly drop. Interest rates are climbing, which will eventually damage housing. Going to have that ripple effect, no doubt. We're seeing layoffs at companies like Tesla and the crypto names are also trimming staff. Workers, however are still in short supply. So wages are going up. Companies in retail are really struggling with the right inventory, and they can't even accurately guide on their earnings. We've seen a version of this movie before. Now, as it pertains to tech, Crawford Del Prete, who's the CEO of IDC explained this on theCUBE this very week. And I thought he did a really good job. He said the following, >> Matt, you have a great statistic that 80% of companies used COVID as their point to pivot into digital transformation. And to invest in a different way. And so what we saw now is that tech is now where I think companies need to focus. They need to invest in tech. They need to make people more productive with tech and it played out in the numbers. Now so this year what's fascinating is we're looking at two vastly different markets. We got gasoline at $7 a gallon. We've got that affecting food prices. Interesting fun fact recently it now costs over $1,000 to fill an 18 wheeler. All right, based on, I mean, this just kind of can't continue. So you think about it. >> Don't put the boat in the water. >> Yeah, yeah, yeah. Good luck if ya, yeah exactly. So a family has kind of this bag of money, and that bag of money goes up by maybe three, 4% every year, depending upon earnings. So that is sort of sloshing around. So if food and fuel and rent is taking up more, gadgets and consumer tech are not, you're going to use that iPhone a little longer. You're going to use that Android phone a little longer. You're going to use that TV a little longer. So consumer tech is getting crushed, really it's very, very, and you saw it immediately in ad spending. You've seen it in Meta, you've seen it in Facebook. Consumer tech is doing very, very, it is tough. Enterprise tech, we haven't been in the office for two and a half years. We haven't upgraded whether that be campus wifi, whether that be servers, whether that be commercial PCs as much as we would have. So enterprise tech, we're seeing double digit order rates. We're seeing strong, strong demand. We have combined that with a component shortage, and you're seeing some enterprise companies with a quarter of backlog, I mean that's really unheard of. >> And higher prices, which also profit. >> And therefore that drives up the prices. >> And this is a theme that we've heard this year at major tech events, they've really come roaring back. Last year, theCUBE had a huge presence at AWS Reinvent. The first Reinvent since 2019, it was really well attended. Now this was before the effects of the omicron variant, before they were really well understood. And in the first quarter of 2022, things were pretty quiet as far as tech events go But theCUBE'a been really busy this spring and early into the summer. We did 12 physical events as we're showing here in the slide. Coupa, did Women in Data Science at Stanford, Coupa Inspire was in Las Vegas. Now these are both smaller events, but they were well attended and beat expectations. San Francisco Summit, the AWS San Francisco Summit was a bit off, frankly 'cause of the COVID concerns. They were on the rise, then we hit Dell Tech World which was packed, it had probably around 7,000 attendees. Now Dockercon was virtual, but we decided to include it here because it was a huge global event with watch parties and many, many tens of thousands of people attending. Now the Red Hat Summit was really interesting. The choice that Red Hat made this year. It was purposefully scaled down and turned into a smaller VIP event in Boston at the Western, a couple thousand people only. It was very intimate with a much larger virtual presence. VeeamON was very well attended, not as large as previous VeeamON events, but again beat expectations. KubeCon and Cloud Native Con was really successful in Spain, Valencia, Spain. PagerDuty Summit was again a smaller intimate event in San Francisco. And then MongoDB World was at the new Javits Center and really well attended over the three day period. There were lots of developers there, lots of business people, lots of ecosystem partners. And then the Snowflake summit in Las Vegas, it was the most vibrant from the standpoint of the ecosystem with nearly 10,000 attendees. And I'll come back to that in a moment. Amazon re:Mars is the Amazon AI robotic event, it's smaller but very, very cool, a lot of innovation. And just last week we were at HPE Discover. They had around 8,000 people attending which was really good. Now I've been to over a dozen HPE or HPE Discover events, within Europe and the United States over the past decade. And this was by far the most vibrant, lot of action. HPE had a little spring in its step because the company's much more focused now but people was really well attended and people were excited to be there, not only to be back at physical events, but also to hear about some of the new innovations that are coming and HPE has a long way to go in terms of building out that ecosystem, but it's starting to form. So we saw that last week. So tech events are back, but they are smaller. And of course now a virtual overlay, they're hybrid. And just to give you some context, theCUBE did, as I said 12 physical events in the first half of 2022. Just to compare that in 2019, through June of that year we had done 35 physical events. Yeah, 35. And what's perhaps more interesting is we had our largest first half ever in our 12 year history because we're doing so much hybrid and virtual to compliment the physical. So that's the new format is CUBE plus digital or sometimes just digital but that's really what's happening in our business. So I think it's a reflection of what's happening in the broader tech community. So everyone's still trying to figure that out but it's clear that events are back and there's no replacing face to face. Or as I like to say, belly to belly, because deals are done at physical events. All these events we've been to, the sales people are so excited. They're saying we're closing business. Pipelines coming out of these events are much stronger, than they are out of the virtual events but the post virtual event continues to deliver that long tail effect. So that's not going to go away. The bottom line is hybrid is the new model. Okay let's look at some of the big themes that we've taken away from the first half of 2022. Now of course, this is all happening under the umbrella of digital transformation. I'm not going to talk about that too much, you've had plenty of DX Kool-Aid injected into your veins over the last 27 months. But one of the first observations I'll share is that the so-called big data ecosystem that was forming during the hoop and around, the hadoop infrastructure days and years. then remember it dispersed, right when the cloud came in and kind of you know, not wiped out but definitely dampened the hadoop enthusiasm for on-prem, the ecosystem dispersed, but now it's reforming. There are large pockets that are obviously seen in the various clouds. And we definitely see a ecosystem forming around MongoDB and the open source community gathering in the data bricks ecosystem. But the most notable momentum is within the Snowflake ecosystem. Snowflake is moving fast to win the day in the data ecosystem. They're providing a single platform that's bringing different data types together. Live data from systems of record, systems of engagement together with so-called systems of insight. These are converging and while others notably, Oracle are architecting for this new reality, Snowflake is leading with the ecosystem momentum and a new stack is emerging that comprises cloud infrastructure at the bottom layer. Data PaaS layer for app dev and is enabling an ecosystem of partners to build data products and data services that can be monetized. That's the key, that's the top of the stack. So let's dig into that further in a moment but you're seeing machine intelligence and data being driven into applications and the data and application stacks they're coming together to support the acceleration of physical into digital. It's happening right before our eyes in every industry. We're also seeing the evolution of cloud. It started with the SaaS-ification of the enterprise where organizations realized that they didn't have to run their own software on-prem and it made sense to move to SaaS for CRM or HR, certainly email and collaboration and certain parts of ERP and early IS was really about getting out of the data center infrastructure management business called that cloud 1.0, and then 2.0 was really about changing the operating model. And now we're seeing that operating model spill into on-prem workloads finally. We're talking about here about initiatives like HPE's Green Lake, which we heard a lot about last week at Discover and Dell's Apex, which we heard about in May, in Las Vegas. John Furrier had a really interesting observation that basically this is HPE's and Dell's version of outposts. And I found that interesting because outpost was kind of a wake up call in 2018 and a shot across the bow at the legacy enterprise infrastructure players. And they initially responded with these flexible financial schemes, but finally we're seeing real platforms emerge. Again, we saw this at Discover and at Dell Tech World, early implementations of the cloud operating model on-prem. I mean, honestly, you're seeing things like consoles and billing, similar to AWS circa 2014, but players like Dell and HPE they have a distinct advantage with respect to their customer bases, their service organizations, their very large portfolios, especially in the case of Dell and the fact that they have more mature stacks and knowhow to run mission critical enterprise applications on-prem. So John's comment was quite interesting that these firms are basically building their own version of outposts. Outposts obviously came into their wheelhouse and now they've finally responded. And this is setting up cloud 3.0 or Supercloud, as we like to call it, an abstraction layer, that sits above the clouds that serves as a unifying experience across a continuum of on-prem across clouds, whether it's AWS, Azure, or Google. And out to both the near and far edge, near edge being a Lowes or a Home Depot, but far edge could be space. And that edge again is fragmented. You've got the examples like the retail stores at the near edge. Outer space maybe is the far edge and IOT devices is perhaps the tiny edge. No one really knows how the tiny edge is going to play out but it's pretty clear that it's not going to comprise traditional X86 systems with a cool name tossed out to the edge. Rather, it's likely going to require a new low cost, low power, high performance architecture, most likely RM based that will enable things like realtime AI inferencing at that edge. Now we've talked about this a lot on Breaking Analysis, so I'm not going to double click on it. But suffice to say that it's very possible that new innovations are going to emerge from the tiny edge that could really disrupt the enterprise in terms of price performance. Okay, two other quick observations. One is that data protection is becoming a much closer cohort to the security stack where data immutability and air gaps and fast recovery are increasingly becoming a fundamental component of the security strategy to combat ransomware and recover from other potential hacks or disasters. And I got to say from our observation, Veeam is leading the pack here. It's now claiming the number one revenue spot in a statistical dead heat with the Dell's data protection business. That's according to Veeam, according to IDC. And so that space continues to be of interest. And finally, Broadcom's acquisition of Dell. It's going to have ripple effects throughout the enterprise technology business. And there of course, there are a lot of questions that remain, but the one other thing that John Furrier and I were discussing last night John looked at me and said, "Dave imagine if VMware runs better on Broadcom components and OEMs that use Broadcom run VMware better, maybe Broadcom doesn't even have to raise prices on on VMware licenses. Maybe they'll just raise prices on the OEMs and let them raise prices to the end customer." Interesting thought, I think because Broadcom is so P&L focused that it's probably not going to be the prevailing model but we'll see what happens to some of the strategic projects rather like Monterey and Capitola and Thunder. We've talked a lot about project Monterey, the others we'll see if they can make the cut. That's one of the big concerns because it's how OEMs like the ones that are building their versions of outposts are going to compete with the cloud vendors, namely AWS in the future. I want to come back to the comment on the data stack for a moment that we were talking about earlier, we talked about how the big data ecosystem that was once coalescing around hadoop dispersed. Well, the data value chain is reforming and we think it looks something like this picture, where cloud infrastructure lives at the bottom. We've said many times the cloud is expanding and evolving. And if companies like Dell and HPE can truly build a super cloud infrastructure experience then they will be in a position to capture more of the data value. If not, then it's going to go to the cloud players. And there's a live data layer that is increasingly being converged into platforms that not only simplify the movement in ELTing of data but also allow organizations to compress the time to value. Now there's a layer above that, we sometimes call it the super PaaS layer if you will, that must comprise open source tooling, partners are going to write applications and leverage platform APIs and build data products and services that can be monetized at the top of the stack. So when you observe the battle for the data future it's unlikely that any one company is going to be able to do this all on their own, which is why I often joke that the 2020s version of a sweaty Steve Bomber running around the stage, screaming, developers, developers developers, and getting the whole audience into it is now about ecosystem ecosystem ecosystem. Because when you need to fill gaps and accelerate features and provide optionality a list of capabilities on the left hand side of this chart, that's going to come from a variety of different companies and places, we're talking about catalogs and AI tools and data science capabilities, data quality, governance tools and it should be of no surprise to followers of Breaking Analysis that on the right hand side of this chart we're including the four principles of data mesh, which of course were popularized by Zhamak Dehghani. So decentralized data ownership, data as products, self-serve platform and automated or computational governance. Now whether this vision becomes a reality via a proprietary platform like Snowflake or somehow is replicated by an open source remains to be seen but history generally shows that a defacto standard for more complex problems like this is often going to emerge prior to an open source alternative. And that would be where I would place my bets. Although even that proprietary platform has to include open source optionality. But it's not a winner take all market. It's plenty of room for multiple players and ecosystem innovators, but winner will definitely take more in my opinion. Okay, let's close with some ETR data that looks at some of those major platform plays who talk a lot about digital transformation and world changing impactful missions. And they have the resources really to compete. This is an XY graphic. It's a view that we often show, it's got net score on the vertical access. That's a measure of spending momentum, and overlap or presence in the ETR survey. That red, that's the horizontal access. The red dotted line at 40% indicates that the platform is among the highest in terms of spending velocity. Which is why I always point out how impressive that makes AWS and Azure because not only are they large on the horizontal axis, the spending momentum on those two platforms rivals even that of Snowflake which continues to lead all on the vertical access. Now, while Google has momentum, given its goals and resources, it's well behind the two leaders. We've added Service Now and Salesforce, two platform names that have become the next great software companies. Joining likes of Oracle, which we show here and SAP not shown along with IBM, you can see them on this chart. We've also plotted MongoDB, which we think has real momentum as a company generally but also with Atlas, it's managed cloud database as a service specifically and Red Hat with trying to become the standard for app dev in Kubernetes environments, which is the hottest trend right now in application development and application modernization. Everybody's doing something with Kubernetes and of course, Red Hat with OpenShift wants to make that a better experience than do it yourself. The DYI brings a lot more complexity. And finally, we've got HPE and Dell both of which we've talked about pretty extensively here and VMware and Cisco. Now Cisco is executing on its portfolio strategy. It's got a lot of diverse components to its company. And it's coming at the cloud of course from a networking and security perspective. And that's their position of strength. And VMware is a staple of the enterprise. Yes, there's some uncertainty with regards to the Broadcom acquisition, but one thing is clear vSphere isn't going anywhere. It's entrenched and will continue to run lots of IT for years to come because it's the best platform on the planet. Now, of course, these are just some of the players in the mix. We expect that numerous non-traditional technology companies this is important to emerge as new cloud players. We've put a lot of emphasis on the data ecosystem because to us that's really going to be the main spring of digital, i.e., a digital company is a data company and that means an ecosystem of data partners that can advance outcomes like better healthcare, faster drug discovery, less fraud, cleaner energy, autonomous vehicles that are safer, smarter, more efficient grids and factories, better government and virtually endless litany of societal improvements that can be addressed. And these companies will be building innovations on top of cloud platforms creating their own super clouds, if you will. And they'll come from non-traditional places, industries, finance that take their data, their software, their tooling bring them to their customers and run them on various clouds. Okay, that's it for today. Thanks to Alex Myerson, who is on production and does the podcast for Breaking Analysis, Kristin Martin and Cheryl Knight, they help get the word out. And Rob Hoofe is our editor and chief over at Silicon Angle who helps edit our posts. Remember all these episodes are available as podcasts wherever you listen. All you got to do is search Breaking Analysis podcast. I publish each week on wikibon.com and siliconangle.com. You can email me directly at david.vellante@siliconangle.com or DM me at dvellante, or comment on my LinkedIn posts. And please do check out etr.ai for the best survey data in the enterprise tech business. This is Dave Vellante for theCUBE's Insights powered by ETR. Thanks for watching be well. And we'll see you next time on Breaking Analysis. (upbeat music)

>>The cube presents HPE discover 2022 brought to you by HPE. >>Hey everyone. Welcome back to the Cube's day one coverage of HPE discover 22 live from the Venetian in Las Vegas. I got a power panel here, Lisa Martin, with Dave Valante, John furrier, Holger Mueller also joins us. We are gonna wrap this, like you've never seen a rap before guys. Lot of momentum today, lot, lot of excitement, about 8,000 or so customers, partners, HPE leaders here. Holger. Let's go ahead and start with you. What are some of the things that you heard felt saw observed today on day one? >>Yeah, it's great to be back in person. Right? 8,000 people events are rare. Uh, I'm not sure. Have you been to more than 8,000? <laugh> yeah, yeah. Okay. This year, this year. I mean, historically, yes, but, um, >>Snowflake was 10. Yeah. >>So, oh, wow. Okay. So 8,000 was my, >>Cisco was, they said 15, >>But is my, my 8,000, my record, I let us down with 7,000 kind of like, but it's in the Florida swarm. It's not nicely. Like, and there's >>Usually what SFI, there's usually >>20, 20, 30, 40, 50. I remember 50 in the nineties. Right. That was a different time. But yeah. Interesting. Yeah. Interesting what people do and it depends how much time there is to come. Right. And know that it happens. Right. But yeah, no, I think it's interesting. We, we had a good two analyst track today. Um, interesting. Like HPE is kind of like back not being your grandfather's HPE to a certain point. One of the key stats. I know Dave always for the stats, right. Is what I found really interesting that over two third of GreenLake revenue is software and services. Now a love to know how much of that services, how much of that software. But I mean, I, I, I, provocate some, one to ones, the HP executives saying, Hey, you're a hardware company. Right. And they didn't even come back. Right. But Antonio said, no, two thirds is, uh, software and services. Right. That's interesting. They passed the one exabyte, uh, being managed, uh, as a, as a hallmark. Right. I was surprised only 120,000 users if I had to remember the number. Right, right. So that doesn't seem a terrible high amount of number of users. Right. So, but that's, that's, that's promising. >>So what software is in there, cuz it's gotta be mostly services. >>Right? Well it's the 70 plus cloud services, right. That everybody's talking about where the added eight of them shockingly back up and recovery, I thought that was done at launch. Right. >>Still who >>Keep recycling storage and you back. But now it's real. Yeah. >>But the company who knows the enterprise, right. HPE, what I've been doing before with no backup and recovery GreenLake. So that was kind of like, okay, we really want to do this now and nearly, and then say like, oh, by the way, we've been doing this all the time. Yeah. >>Oh, what's your take on the installed base of HP. We had that conversation, the, uh, kickoff or on who's their target, what's the target audience environment look like. It certainly is changing. Right? If it's software and services, GreenLake is resonating. Yeah. Um, ecosystems responding. What's their customers cuz managed services are up too Kubernetes, all the managed services what's what's it like what's their it transformation base look like >>Much of it is of course install base, right? The trusted 20, 30 plus year old HP customer. Who's keeping doing stuff of HP. Right. And call it GreenLake. They've been for so many name changes. It doesn't really matter. And it's kind of like nice that you get the consume pain only what you consume. Right. I get the cloud broad to me then the general markets, of course, people who still need to run stuff on premises. Right. And there's three reasons of doing this performance, right. Because we know the speed of light is relative. If you're in the Southern hemisphere and even your email servers in Northern hemisphere, it takes a moment for your email to arrive. It's a very different user experience. Um, local legislation for data, residency privacy. And then, I mean Charles Phillips who we all know, right. Former president of uh, info nicely always said, Hey, if the CIOs over 50, I don't have to sell qu. Right. So there is not invented. I'm not gonna do cloud here. And now I've kind of like clouded with something like HP GreenLake. That's the customers. And then of course procurement is a big friend, right? Yeah. Because when you do hardware refresh, right. You have to have two or three competitors who are the two or three competitors left. Right. There's Dell. Yeah. And then maybe Lenovo. Right? So, so like a >>Little bit channels, the strength, the procurement physicians of strength, of course install base question. Do you think they have a Microsoft opportunity where, what 365 was Microsoft had office before 365, but they brought in the cloud and then everything changed. Does HP have that same opportunity with kind of the GreenLake, you know, model with their existing stuff. >>It has a GreenLake opportunity, but there's not much software left. It's a very different situation like Microsoft. Right? So, uh, which green, which HP could bring along to say, now run it with us better in the cloud because they've been selling much of it. Most of it, of their software portfolio, which they bought as an HP in the past. Right. So I don't see that happening so much, but GreenLake as a platform itself course interesting because enterprise need a modern container based platform. >>I want, I want to double click on this a little bit because the way I see it is HP is going to its installed base. I think you guys are right on say, this is how we're doing business now. Yeah. You know, come on along. But my sense is, some customers don't want to do the consumption model. There are actually some customers that say, Hey, of course I got, I don't have a cash port problem. I wanna pay for it up front and leave me alone. >>I've been doing this since 50 years. Nice. As I changed it, now <laugh> two know >>Money's wants to do it. And I don't wanna rent because rental's more expensive and blah, blah, blah. So do you see that in the customer base that, that some are pushing back? >>Of course, look, I have a German accent, right? So I go there regularly and uh, the Germans are like worried about doing anything in the cloud. And if you go to a board in Germany and say, Hey, we can pay our usual hardware, refresh, CapEx as usual, or should we bug consumption? And they might know what we are running. <laugh> so not whole, no offense against the Germans out. The German parts are there, but many of them will say, Hey, so this is change with COVID. Right. Which is super interesting. Right? So the, the traditional boards non-technical have been hearing about this cloud variable cost OPEX to CapEx and all of a sudden there's so much CapEx, right. Office buildings, which are not being used truck fleets. So there's a whole new sensitivity by traditional non-technical boards towards CapEx, which now the light bulb went on and say, oh, that's the cloud thing about also. So we have to find a way to get our cost structure, to ramp up and ramp down as our business might be ramping up through COVID through now inflation fears, recession, fears, and so on. >>So, okay. HP's, HP's made the statement that anything you can do in the cloud you can do in GreenLake. Yes. And I've said you can't run on snowflake. You can't run Mongo Atlas, you can't run data bricks, but that's okay. That's fine. Let's be, I think they're talking about, there's >>A short list of things. I think they're talking about the, their >>Stuff, their, >>The operating experience. So we've got single sign on through a URL, right. Uh, you've got, you know, some level of consistency in terms of policy. It's unclear exactly what that is. You've got storage backup. Dr. What, some other services, seven other services. If you had to sort of take your best guess as to where HP is now and peg it toward where Amazon was in which year? >>20 14, 20 14. >>Yeah. Where they had their first conference or the second we invent here with 3000 people and they were thinking, Hey, we're big. Yeah. >>Yeah. And I think GreenLake is the building blocks. So they quite that's the >>Building. Right? I mean similar. >>Okay. Well, I mean they had E C, Q and S3 and SQS, right. That was the core. And then the rest of those services were, I mean, base stock was one of that first came in behind and >>In fairness, the industry has advanced since then, Kubernetes is further along. And so HPE can take advantage of that. But in terms of just the basic platform, I, I would agree. I think it's >>Well, I mean, I think, I mean the software, question's a big one. I wanna bring up because the question is, is that software is getting the world. Hardware is really software scales, everything, data, the edge story. I love their story. I think HP story is wonderful Aruba, you know, hybrid cloud, good story, edge edge. But if you look under the covers, it's weak, right? It's like, it's not software. They don't have enough software juice, but the ecosystem opportunity to me is where you plug and play. So HP knows that game. But if you look historically over the past 25 years, HP now HPE, they understand plug and play interoperability. So the question is, can they thread the needle >>Right. >>Between filling the gaps on the software? Yeah. With partners, >>Can they get the partners? Right. And which have been long, long time. Right. For a long time, HP has been the number one platform under ICP, right? Same thing. You get certified for running this. Right. I know from my own history, uh, I joined Oracle last century and the big thing was, let's get your eBusiness suite certified on HP. Right? Like as if somebody would buy H Oracle work for them, right. This 20 years ago, server >>The original exit data was HP. Oracle. >>Exactly. Exactly. So there's this thinking that's there. But I think the key thing is we know that all modern forget about the hardware form in the platforms, right? All modern software has to move to containers and snowflake runs in containers. You mentioned that, right? Yeah. If customers force snowflake and HPE to the table, right, there will be a way to make it work. Right. And which will help HPE to be the partner open part will bring the software. >>I, I think it's, I think that's an opportunity because that changes the game and agility and speed. If HP plays their differentiation, right. Which we asked on their opening segment, what's their differentiation. They got size scale channel, >>What to the enterprise. And then the big benefit is this workload portability thing. Right? You understand what is run in the public cloud? I need to run it local. For whatever reason, performance, local residency of data. I can move that. There that's the big benefit to the ISVs, the sales vendors as well. >>But they have to have a stronger data platform story in my that's right. Opinion. I mean, you can run Oracle and HPE, but there's no reason they shouldn't be able to do a deal with, with snowflake. I mean, we saw it with Dell. Yep. We saw it with, with, with pure and I, if our HPE I'd be saying, Hey, because the way the snowflake deal worked, you probably know this is your reading data into the cloud. The compute actually occurs in the cloud viral HB going snowflake saying we can separate compute and storage. Right. And we have GreenLake. We have on demand. Why don't we run the compute on-prem and make it a full class, first class citizen, right. For all of our customers data. And that would be really innovative. And I think Mongo would be another, they've got OnPrem. >>And the question is, how many, how many snowflake customers are telling snowflake? Can I run you on premise? And how much defo open years will they hear from that? Right? This is >>Why would they deal Dell? That >>Deal though, with that, they did a deal. >>I think they did that deal because the customer came to them and said, you don't exactly that deal. We're gonna spend the >>Snowflake >>Customers think crazy things happen, right? Even, even put an Oracle database in a Microsoft Azure data center, right. Would off who, what as >>Possible snowflake, >>Oracle. So on, Aw, the >>Snow, the snowflakes in the world have to make a decision. Dave on, is it all snowflake all the time? Because what the reality is, and I think, again, this comes back down to the, the track that HP could go up or down is gonna be about software. Open source is now the software industry. There's no such thing as proprietary software, in my opinion, relatively speaking, cloud scale and integrated, integrated integration software is proprietary. The workflows are proprietary. So if they can get that right with the partners, I would focus on that. I think they can tap open source, look at Amazon with open source. They sucked it up and they integrated it in. No, no. So integration is the deal, not >>Software first, but Snowflake's made the call. You were there, Lisa. They basically saying it's we have, you have to be in snowflake in order to get the governance and the scalability, all that other wonderful stuff. Oh, but we we'll do Apache iceberg. We'll we'll open it up. We'll do Python. Yeah. >>But you can't do it data clean room unless you are in snowflake. Exactly. Snowflake on snowflake. >>Exactly. >>But got it. Isn't that? What you heard from AWS all the time till they came out outposts, right? I mean, snowflake is a market leader for what they're doing. Right. So that they want to change their platform. I mean, kudos to them. They don't need to change the platform. They will be the last to change their platform to a ne to anything on premises. Right. But I think the trend already shows that it's going that way. >>Well, if you look at outpost is an signal, Dave, the success of outpost launched what four years ago, they announced it. >>What >>EKS is beating, what outpost is doing. Outpost is there. There's not a lot of buzz and talk to the insiders and the open source community, uh, EKS and containers. To your point mm-hmm <affirmative> is moving faster on, I won't say commodity hardware, but like could be white box or HP, Dell, whatever it's gonna be that scale differentiation and the edge story is, is a good one. And I think with what we're seeing in the market now it's the industrial edge. The back office was gen one cloud back office data center. Now it's hybrid. The focus will be industrial edge machine learning and AI, and they have it here. And there's some, some early conversations with, uh, I heard it from, uh, this morning, you guys interviewed, uh, uh, John Schultz, right? With the world economic 4k birth Butterfield. She was amazing. And then you had Justin bring up a Hoar, bring up quantum. Yes. That is a differentiator. >>HP. >>Yes. Yeah. You, they have the computing shops. They had the R and D can they bring it to the table >>As, as HPC, right. To what they Schultz for of uh, the frontier system. Right. So very impressed. >>So the ecosystem is the key for them is because that's how they're gonna fill the gaps. They can't, they can't only, >>They could, they could high HPC edge piece. I wouldn't count 'em out of that game yet. If you co-locate a box, I'll use the word box, particularly at a telco tower. That's a data center. Yep. Right. If done properly. Yep. So, you know, what outpost was supposed to do actually is a hybrid opportunity. Aruba >>Gives them a unique, >>But the key thing is right. It's a yin and yang, right? It's the ecosystem it's partners to bring those software workload. Absolutely. Right. But HPE has to keep the platform attractive enough. Right. And the key thing there is that you have this workload capability thing that you can bring things, which you've built yourself. I mean, look at the telcos right. Network function, visualization, thousands of man, years into these projects. Right. So if I can't bring it to your edge box, no, I'm not trying to get to your Xbox. Right. >>Hold I gotta ask you since in the Dave too, since you guys both here and Lisa, you know, I said on the opening, they have serious customers and those customers have serious problems, cyber security, ransomware. So yeah. I teach transformation now. Industrial transformation machine learning, check, check, check. Oh, sounds good. But at the end of the day, their customers have some serious problems. Right? Cyber, this is, this is high stakes poker. Yeah. What do you think HP's position for in the security? You mentioned containers, you got all this stuff, you got open source, supply chain, you have to left supply chain issues. What is their position with security? Cuz that's the big one. >>I, I think they have to have a mature attitude that customers expect from HPE. Right? I don't have to educate HP on security. So they have to have the partner offerings again. We're back at the ecosystem to have what probably you have. So bring your own security apart from what they have to have out of the box to do business with them. This is why the shocker this morning was back up in recovery coming. <laugh> it's kind like important for that. Right? Well >>That's, that's, that's more ransomware and the >>More skeleton skeletons in the closet there, which customers should check of course. But I think the expectations HP understands that and brings it along either from partner or natively. >>I, I think it's, I think it's services. I think point next is the point of integration for their security. That's why two thirds is software and services. A lot of that is services, right? You know, you need security, we'll help you get there. We people trust HP >>Here, but we have nothing against point next or any professional service. They're all hardworking. But if I will have to rely on humans for my cyber security strategy on a daily level, I'm getting gray hair and I little gray hair >>Red. Okay. I that's, >>But >>I think, but I do think that's the camera strategy. I mean, I'm sure there's a lot of that stuff that's beginning to be designed in, but I, my guess is a lot of it is services. >>Well, you got the Aruba. Part of the booth was packed. Aruba's there. You mentioned that earlier. Is that good enough? Because the word zero trust is kicked around a lot. On one hand, on the other hand, other conversations, it's all about trust. So supply chain and software is trusting trust, trust and verified. So you got this whole mentality of perimeter gone mentality. It's zero trust. And if you've got software trust, interesting thoughts there, how do you reconcile zero trust? And then I need trust. What's what's you? What are you seeing older on that? Because I ask people all the time, they're like, uh, I'm zero trust or is it trust? >>Yeah. The middle ground. Right? Trusted. The meantime people are man manipulating what's happening in your runtime containers. Right? So, uh, drift control is a new password there that you check what's in your runtime containers, which supposedly impenetrable, but people finding ways to hack them. So we'll see this cat and mouse game going on all the time. Yeah. Yeah. There's always gonna be the need for being in a secure, good environment from that perspective. Absolutely. But the key is edge has to be more than Aruba, right? If yeah. HV goes away and says, oh yeah, we can manage your edge with our Aruba devices. That's not enough. It's the virtual probability. And you said the important thing before it's about the data, right? Because the dirty secret of containers is yeah, I move the code, but what enterprise code works without data, right? You can't say as enterprise, okay, we're done for the day check tomorrow. We didn't persist your data, auditor customer. We don't have your data anymore. So filling a way to transport the data. And there just one last thought, right? They have a super interesting asset. They want break lands for the venerable map R right. Which wrote their own storage drivers and gives you the chance to potentially do something in that area, which I'm personally excited about. But we'll see what happens. >>I mean, I think the holy grail is can I, can I put my data into a cloud who's ever, you know, call it a super cloud and can I, is it secure? Is it governed? Can I share it and be confident that it's discoverable and that the, the person I give it to has the right to use it. Yeah. And, and it's the correct data. There's not like a zillion copies running. That's the holy grail. And I, I think the answer today is no, you can, you can do that maybe inside of AWS or maybe inside of Azure, look maybe certainly inside of snowflake, can you do that inside a GreenLake? Well, you probably can inside a GreenLake, but then when you put it into the cloud, is it cross cloud? Is it really out to the edge? And that's where it starts to break down, but that's where the work is to be done. That's >>The one Exide is in there already. Right. So men being men. Yeah. >>But okay. But it it's in there. Yeah. Okay. What do you do with it? Can you share that data? What can you actually automate governance? Right? Uh, is that data discoverable? Are there multiple copies of that data? What's the, you know, master copy. Here's >>A question. You guys, here's a question for you guys analyst, what do you think the psychology is of the CIO or CSO when HP comes into town with GreenLake, uh, and they say, what's your relationship with the hyperscalers? Cause I'm a CIO. I got my environment. I might be CapEx centric or Hey, I'm open model. Open-minded to an operating model. Every one of these enterprises has a cloud relationship. Yeah. Yeah. What's the dynamic. What do you think the psychology is of the CIO when they're rationalizing their, their trajectory, their architecture, cloud, native scale integration with HPE GreenLake or >>HP service. I think she or he hears defensiveness from HPE. I think she hears HPE or he hears HPE coming in and saying, you don't need to go to the cloud. You know, you could keep it right here. I, I don't think that's the right posture. I think it should be. We are your cloud. And we can manage whether it's OnPrem hybrid in AWS, Azure, Google, across those clouds. And we have an edge story that should be the vision that they put forth. That's the super cloud vision, but I don't hear it >>From these guys. What do you think psycho, do you agree with that? >>I'm totally to make, sorry to be boring, but I totally agree with, uh, Dave on that. Right? So the, the, the multi-cloud capability from a trusted large company has worked for anybody up and down the stack. Right? You can look historically for, uh, past layers with cloud Foundry, right? It's history vulnerable. You can look for DevOps of Hashi coop. You can look for database with MongoDB right now. So if HPE provides that data access, right, with all the problems of data gravity and egres cost and the workability, they will be doing really, really well, but we need to hear it more, right. We didn't hear much software today in the keynote. Right. >>Do they have a competitive offering vis-a-vis or Azure? >>The question is, will it be an HPE offering or will, or the software platform, one of the offerings and you as customer can plug and play, right. Will software be a differentiator for HP, right. And will be close, proprietary to the point to again, be open enough for it, or will they get that R and D format that, or will they just say, okay, ES MES here on the side, your choice, and you can use OpenShift or whatever, we don't matter. That's >>The, that's the key question. That's the key question. Is it because it is a competitive strategy? Is it highly differentiated? Oracle is a highly differentiated strategy, right? Is Dell highly differentiated? Eh, Dell differentiates based on its breadth. What? >>Right. Well, let's try for the control plane too. Dell wants to be an, >>Their, their vision is differentiated. Okay. But their execution today is not >>High. All right. Let me throw, let me throw this out at you then. I'm I'm, I'm sorry. I'm I'm HPE. I wanna be the glue layer. Is that, does that fly? >>What >>Do you mean? The group glue layer? I'll I wanna be, you can do Amazon, but I wanna be the glue layer between the clouds and our GreenLake will. >>What's the, what's the incremental value that, that glue provides, >>Provides comfort and reliability and control for the single pane of glass for AWS >>And comes back to the data. In my opinion. Yeah. >>There, there there's glue levels on the data level. Yeah. And there's glue levels on API level. Right. And there's different vendors in the different spaces. Right. Um, I think HPE will want to play on the data side. We heard lots of data stuff. We >>Hear that, >>But we have to see it. Exactly. >>Yeah. But it's, it's lacking today. And so, Hey, you know, you guys know better than I APIs can be fragile and they can be, there's a lot of diversity in terms of the quality of APIs and the documentation, how they work, how mature they are, what, how, what kind of performance they can provide and recoverability. And so just saying, oh wow. We are living the API economy. You know, the it's gonna take time to brew, chime in here. Hi. >><laugh> oh, so guys, you've all been covering HPE for a long time. You know, when Antonio stood up on stage three years ago and said by 2022, and here we are, we're gonna be delivering everything as a service. He's saying we've, we've done it, but, and we're a new company. Do you guys agree with that? >>Definitely. >>I, yes. Yes. With the caveat, I think, yes. The COVID pandemic slowed them down a lot because, um, that gave a tailwind to the hyperscalers, um, because of the, the force of massive O under forecasting working at home. I mean, everyone I talked to was like, no one forecasted a hundred percent work at home, the, um, the CapEx investments. So I think that was an opportunity that they'd be much farther along if there's no COVID people >>Thought it wasn't impossible. Yeah. But so we had the old work from home thing right. Where people trying to get people fired at IBM and Yahoo. Right. So I would've this question covering the HR side and my other hat on. Right. And I would ask CHS let's assume, because I didn't know about COVID shame on me. Right. I said, big California, earthquake breaks. Right. Nobody gets hurt, but all the buildings have to be retrofitted and checked for seism logic down. So everybody's working from home, ask CHS, what kind of productivity gap hit would you get by forcing everybody working from home with the office unsafe? So one, one gentleman, I won't know him, his name, he said 20% and the other one's going ha you're smoking. It's 40 50%. We need to be in the office. We need to meet it first night. And now we went for this exercise. Luckily not with the California. Right. Well, through the price of COVID and we've seen what it can do to, to productivity well, >>The productivity, but also the impact. So like with all the, um, stories we've done over two years, the people that want came out ahead were the ones that had good cloud action. They were already in the cloud. So I, I think they're definitely in different company in the sense of they, I give 'em a pass. I think they're definitely a new company and I'm not gonna judge 'em on. I think they're doing great. But I think pandemic definitely slowed 'em down that about >>It. So I have a different take on this. I think. So we've go back a little history. I mean, you' said this, I steal your line. Meg Whitman took one for the Silicon valley team. Right. She came in. I don't think she ever was excited that I, that you said, you said that, and I think you wrote >>Up, get tape on that one. She >>Had to figure out how do I deal with this mess? I have EDS. I got PC. >>She never should have spun off the PC, but >>Okay. But >>Me, >>Yeah, you can, you certainly could listen. Maybe, maybe Gerstner never should have gone all in on services and IBM would dominate something other than mainframes. They had think pads even for a while, but, but, but so she had that mess to deal with. She dealt with it and however, they dealt with it, Antonio came in, he, he, and he said, all right, we're gonna focus the company. And we're gonna focus the mission on not the machine. Remember those yeah. Presentations, but you just make your eyes glaze over. We're going all in on Azure service >>And edge. He was all on. >>We're gonna build our own cloud. We acquired Aruba. He made some acquisitions in HPC to help differentiate. Yep. And they are definitely a much more focused company now. And unfortunately I wish Antonio would CEO in 2015, cuz that's really when this should have started. >>Yeah. And then, and if you remember back then, Dave, we were interviewing Docker with DevOps teams. They had composability, they were on hybrid really early. I think they might have even coined the term hybrid before VMware tri-state credit for it. But they were first on hybrid. They had DevOps, they had infrastructure risk code. >>HPE had an HP had an awesome cloud team. Yeah. But, and then, and then they tried to go public cloud. Yeah. You know, and then, you know, just made them, I mean, it was just a mess. The focus >>Is there. I give them huge props. And I think, I think the GreenLake to me is exciting here because it's much better than it was two years ago. When, when we talked to, when we started, it's >>Starting to get real. >>It's, it's a real thing. And I think the, the tell will be partners. If they make that right, can pull their different >>Ecosystem, >>Their scale and their customers and fill the software gas with partners mm-hmm <affirmative> and then create that integration opportunity. It's gonna be a home run if they don't do that, they're gonna miss the operating, >>But they have to have their own to your point. They have to have their own software innovation. >>They have to good infrastructure ways to build applications. I don't wanna build with somebody else. I don't wanna take a Microsoft stack on open source stack. I'm not sure if it's gonna work with HP. So they have to have an app dev answer. I absolutely agree with that. And the, the big thing for the partners is, which is a good thing, right? Yep. HPE will not move into applications. Right? You don't have to have the fear of where Microsoft is with their vocal large. Right. If AWS kind of like comes up with APIs and manufacturing, right. Google the same thing with their vertical push. Right. So HPE will not have the CapEx, but >>Application, >>As I SV making them, the partner, the bonus of being able to on premise is an attractive >>Part. That's a great point. >>Hold. So that's an inflection point for next 12 months to watch what we see absolutely running on GreenLake. >>Yeah. And I think one of the things that came out of the, the last couple events this past year, and I'll bring this up, we'll table it and we'll watch it. And it's early in this, I think this is like even, not even the first inning, the machine learning AI impact to the industrial piece. I think we're gonna see a, a brand new era of accelerated digital transformation on the industrial physical world, back office, cloud data center, accounting, all the stuff. That's applications, the app, the real world from space to like robotics. I think that HP edge opportunity is gonna be visible and different. >>So guys, Antonio Neri is on tomorrow. This is only day one. If you can imagine this power panel on day one, can you imagine tomorrow? What is your last question for each of you? What is your, what, what question would you want to ask him tomorrow? Hold start with you. >>How is HPE winning in the long run? Because we know their on premise market will shrink, right? And they can out execute Dell. They can out execute Lenovo. They can out Cisco and get a bigger share of the shrinking market. But that's the long term strategy, right? So why should I buy HPE stock now and have a good return put in the, in the safe and forget about it and have a great return 20 years from now? What's the really long term strategy might be unfair because they, they ran in survival mode to a certain point out of the mass post equipment situation. But what is really the long term strategy? Is it more on the hardware side? Is it gonna go on the HPE, the frontier side? It's gonna be a DNA question, which I would ask Antonio. >>John, >>I would ask him what relative to the macro conditions relative to their customer base, I'd say, cuz the customers are the scoreboard. Can they create a value proposition with their, I use the Microsoft 365 example how they kind of went to the cloud. So my question would be Antonio, what is your core value proposition to CIOs out there who want to transform and take a step function, increase for value with HPE? Tell me that story. I wanna hear. And I don't want to hear, oh, we got a portfolio and no, what value are you enabling your customers to do? >>What and what should that value be? >>I think it's gonna be what we were kind of riffing on, which is you have to provide either what their product market fit needs are, which is, are you solving a problem? Is it a pain point is a growth driver. Uh, and what's the, what's that tailwind. And it's obviously we know at cloud we know edge. The story is great, but what's the value proposition. But by going with HPE, you get X, Y, and Z. If they can explain that clearly with real, so qualitative and quantitative data it's home >>Run. He had a great line of the analyst summit today where somebody asking questions, I'm just listening to the customer. So be ready for this Steve jobs photo, listening to the customer. You can't build something great listening to the customer. You'll be good for the next quarter. The next exponential >>Say, what are the customers saying? <laugh> >>So I would make an observation. And my question would, so my observation would be cloud is growing collectively at 35%. It's, you know, it's approaching 200 billion with a big, big four. If you include Alibaba, IBM has actually said, Hey, we're gonna gr they've promised 6% growth. Uh, Cisco I think is at eight or 9% growth. Dow's growing in double digits. Antonio and HPE have promised three to 4% growth. So what do you have to do to actually accelerate growth? Because three to 4%, my view, not enough to answer Holger's question is why should I buy HPE stock? Well, >>If they have product, if they have customer and there's demand and traction to me, that's going to drive the growth numbers. And I think the weak side of the forecast means that they don't have that fit yet. >>Yeah. So what has to happen for them to get above five, 6% growth? >>That's what we're gonna analyze. I mean, I, I mean, I don't have an answer for that. I wish I had a better answer. I'd tell them <laugh> but I feel, it feels, it feels like, you know, HP has an opportunity to say here's the new HPE. Yeah. Okay. And this is what we stand for. And here's the one thing that we're going to do that consistently drives value for you, the customer. And that's gonna have to come into some, either architectural cloud shift or a data thing, or we are your store for blank. >>All of the above. >>I guess the other question is, would, would you know, he won't answer a rude question, would suspending things like dividends and stock buybacks and putting it into R and D. I would definitely, if you have confidence in the market and you know what to do, why wouldn't you just accelerate R and D and put the money there? IBM, since 2007, IBM spent is the last stat. And I'm looking go in 2007, IBM way, outspent, Google, and Amazon and R and D and, and CapEx two, by the way. Yep. Subsequent to that, they've spent, I believe it's the numbers close to 200 billion on stock buyback and dividends. They could have owned cloud. And so look at this business, the technology business by and large is driven by innovation. Yeah. And so how do you innovate if >>You have I'm buying, I'm buying HP because they're reliable high quality and they have the outcomes that I want. Oh, >>Buy their products and services. I'm not sure I'd buy the stock. Yeah. >>Yeah. But she has to answer ultimately, because a public company. Right. So >>Right. It's this job. Yeah. >>Never a dull moment with the three of you around <laugh> guys. Thank you so much for sharing your insights, your, an analysis from day one. I can't imagine what day two is gonna bring tomorrow. Debut and I are gonna be anchoring here. We've got a jam packed day, lots going on, hearing from the ecosystem from leadership. As we mentioned, Antonio is gonna be Tony >>Alma Russo. I'm dying. Dr. >>EDMA as well as on the CTO gonna be another action pack day. I'm excited for it, guys. Thanks so much for sharing your insights and for letting me join this power panel. >>Great. Great to be here. >>Power panel plus me. All right. For Holger, John and Dave, I'm Lisa, you're watching the cube our day one coverage of HPE discover wraps right now. Don't go anywhere, cuz we'll see you tomorrow for day two, live from Vegas, have a good night.

>>Hi, everyone. Welcome to the cube and unstoppable domain, special showcase women of web three or well, three I'm super excited for this season. We have three great guests, Sandy Carter, the SVP and channel chief of unstoppable domains. Noel Bailey managing director for the entertainment, AKA disco leper. That's her handle NFT handle. We'll talk more about that. And Kristen Mirabella, Bella director of business development, Gemini all in the web three world here for women of web three. Welcome to the show. So what a great announcement, Sandy? What is the wow three women of web three. And why did you announce it on stumbled domains? Web three. >>Awesome. Well, thanks John. So today we are so excited to announce unstoppable women of web three. And one of the things that we noticed ourselves plus 60 plus companies is that we need more diversity in the web three space. So our mission is to make web three more accessible for everyone to help women with that first step and be very action oriented. So we're going to launch education, networking and events as we move forward. And we're real excited to start today, March 8th, we've got a 24 hour Twitter space. We have a YouTube live. We're going to be auction and off some NFTs to donate to girls in tech, a not-for-profit who is also going to launch a mentoring platform for women in web three. We'll also be announcing a hundred inspirational women's and Webster, and I can take up the entire time talking about all we have in store to make web three accessible to everyone. >>That's awesome. We're going to unpack that lot of things to talk about there. I'm really looking forward to it, neural, your, you got a great story here. What are the lazy lions and, and the queen so to speak and what are you guys doing? And tell us about your handle. >>That's a lot of questions there. John, why don't we start with that? So, I mean, I started my NFT journey about six months ago only, and I got really lucky in entering into the space for the lazy lions to start with and the Kings and existing Queens that were kind of in that space to begin were incredibly welcoming. I literally like, I love being the person in the room that asked the dumb question, because if I, if I can ask it, then, you know, there's, there's a hundred other people there that aren't asking that question. And so when I stepped into the, you know, the pride space with Twitter and discord, getting to know the lazy lions before I even got into my first project, they were incredibly welcoming. Like any question that I asked they had an answer for. And so, you know, why we're kind of wondering with unstoppable and supporting that? >>Well, one, once we, once through that space, I got introduced to queen Sandy as well. You know, she's part of the pride and, and one of the lazy lions and again, yeah, it's that whole symbiotic relationship where you've got, you know, Kings and Queens, men and women kind of in the pride, but it's not just about men and women either. It's the diversity aspect where it's people from all different cultures, backgrounds all around the world. And so, you know, getting in and learning and growing together in this brand new space that we're all part of creating. And then Unstoppables a huge part of that with the gateway to allowing people to kind of get into it, to begin. So it just all makes sense. We're going to expense. >>Okay, we're going to unpack that in a minute, but Kristen w what's going on with Gemini and web three, what's going on in the ecosystem there? How are you supporting the women of web three initiative? >>Really excited. Gemini is an exchange and custodian. We offer access to cryptocurrencies. We are your access points. We're the access point for women who are trying to embrace their own financial freedom and build their own story, be economically empowered and interacting with web three in a way that's going to be increasingly necessary. As, as this continues to build, Gemini is really excited to be able to provide a platform for education for anyone and especially women who are looking to build their knowledge base around what's happening in cryptocurrency. How can they interact with it? How can they make really good financial decisions as they look to interact with networks, you know, within defy, what tokens do they want to be able to, you know, purchase, move off of a centralized platform like Geminis. We are very regulated. We're very secure as an access point to be able to interact with cryptocurrencies and use crypto to interact with this ecosystem that's growing. You can, you know, as a woman decide on a really good idea on how you want to embrace that financial freedom of interacting with the protocol that might unlock your potential to be more financially independent, make really good decisions about the future of what your, your family might need economically, you know, in Gemini as an access point for that, as far as crypto and other digital assets go is where we were really proud that we can power that network. >>So we have to chip and I got the lazy lions. You have the unstoppable, all three of you guys are in the middle of all the action and it's super game-changing. It's also a cultural shift. You seeing a lot of young, the young generation, as well as senior experienced people coming in, certainly technologists are coming in, business leaders are coming in and it just feels like a whole nother cultural shift. So we have to ask you, what are you guys most excited for in this roadmap for women of web three what's on your mind? What do you guys see? What's the vision? >>Well, I'll start first. You know, one of the things that I'm really excited about is getting women to experience web three, not just book learning, but really get in there and interact and play with it. So for example, John, there is a game called de-central land. They sell land. And what they're going to help us do is to build a virtual women of web three headquarters inside of the game. And as women go there, they're going to experience, you know, logging in, they're going to experience crypto, like Kristin does talked about they'll experience. NFT is like disco, just talked about. And so it won't just be book smart. They'll be able to get in there and do and see and play, which I think is the best way to learn about web three. >>For me, I'd say, I mean, honestly, I'm most excited about getting it started. There's been so much work kind of going into this to begin with. And, and this space is, is also new and constantly growing and kind of evolving, changing as we go because we're pioneers kind of in this space, really. Like we all have web three. And so getting it started and it continues to grow and evolve from there, which is, you know, a lot to do with kind of community driven initiatives what's happening in the market and the space at the time as well. So super get it started, build it. And it keeps growing from there. >>Christine, what's your vision to what, how do you see this evolving what's what do you hope for and what are some of the things you're excited about? >>I couldn't agree more. What I think is really exciting is that again, if you're looking to learn about this, you know, Sandy you're so right, you're not gonna learn about really how to unlock the potential of this ecosystem by reading about it. You have to get in there, find crypto, come to Geminis platform, open an account, understand what it means to buy cryptocurrency, buy Bitcoin, understand what you're comfortable with. Use resources like our crypto pedia, to understand the differences between tokens, the differences between layers. Why would you buy this token and transfer it off of the platform where you're looking to interact with three, maybe you're looking at these web three applications and you want to understand what generating income through one of these looks like you really got to start with the basics, but start here, purchase something, move it off. You know, test it, use little, little amounts. >>You don't have to buy a full Bitcoin. I think that that's a common misconception with people who are really starting to get interested in the space, especially as they start to learn about cryptocurrency, buy a tiny piece, you know, you don't need to sell the farm, move it off the platform, learn a little bit about how you can interact, build a community around yourself. There are a lot of women who are learning how to do this and through NFTs and through other interests that you might naturally have, you can really embrace the technology and understand what it can do for you. >>You know, you, you mentioned that in the early days of Bitcoin, even a theory of giving it away was a big part of that kind of early days of community. And Earl, you mentioned the word pride as part of the lazy lions community is a big part of this. Sandy, you know, this you've seen communities develop over the years, this new kind of community dynamic is a network effect, but it's also people centric. It's also about reputation. So it's about being open and collaborative. I mean, it sounds like a bunch of cliches jammed together, but this is kind of the world we're in for web three. Can you guys share your thoughts on that and get a reaction to that? >>Yeah. And I just wanted to jump on kind of what Kristin was mentioning there as well. You know, like, and Sandy, like get in there, get started, like have a little taste, have a little of this watch learn and then kind of tying into your community aspect there, ask the questions, get into, and you know, the two, the couple of main spaces, there are discord and Twitter, which, and again, I signed up my Twitter account in 2014 and I pretty much didn't touch it, like from 2015 kind of onwards, like now learning and getting in and growing with this space, that's kind of where the mediums are to start with with that. So yeah. Get in and get started and, and ask the questions on the way >>Sandy, you see Twitter and discord as the primary. >>Yeah. Yeah. There's so many this guy, right. Because you know, I'm on, I'm now on telegram. I'm on disbarred, I'm on Twitter, I'm on signal. I just got invited to signal groups. So this is one of the areas that we need to work on for web three. I think all of us would agree is just that interface. Part of the reason that we're launching this is because it is hard today, right? Web three is hard. And so there's multiple communications channels, you know, and that's why we love, you know, partners like Jim and I, who are making it easier and lazy lions who are setting up these communities. You know, when you buy in it of T you're really not, I guess you are buying the NFT for value, but you're also buying into the community disco. And I have been meeting actually every Saturday night for a while now with the rest of the Queens, planning out women of web three, Kristin and Jim and I, and I have been meeting together it's about the people and the networking and the tribe that you're part of as well. You really nailed it on the community piece. >>You know, ever since we started talking about it unstoppable, I got to say, I've been wanting to get the cube and FTS going because it is a community dynamic, but it's also this got practical usage of is there's data behind it. There's actually real use cases. Can you guys share your thoughts on how you see the use cases being applied specifically to the world, but also to, to women of web three to Wasn't go first. >>Yeah. We're also polite. We're all quite polite. And do you want to go first? You're one of our partners, we'll let you start us off. >>Sorry. I didn't want to and want to jump in there and they want to get started a real applications of, of what this looks like. I think goes back to an idea I had at the top of the call as there's clarity, as that continues to emerge as web three continues to build. And we understand what this really means. I think many would say that there's, you know, lack of clarity around what web three means. Maybe there are some platforms that are slightly more centralized than others. If we think of what web three in general represents, you know, it's this idea of decentralization empowering you through ownership of your data, empowering you through the ability to do things in a decentralized way, but you're not able to do on web two. And I think the real application of transition of where we are today into what this becomes is, you know, I think we keep nailing it on the head. >>You really have to get out there and practice. You have to understand what this transition means for you and what does it mean for what you're trying to achieve? So if my personal stance is, is really solid in where, you know, your financial future is rooted. And if we're talking about cryptocurrency in your ability to interact with these networks, like we've been saying, you have to practice, you have to understand and learn what you're getting yourself into. But I also think there's this element of being okay with making mistakes, but you are talking about your financial future. You're talking about something that's there really high stakes around making mistakes means starting with really good partners. You can start with platforms like Gemini. You can start with platforms like unstoppable domains and know that the foundation has been laid for you to be able to test these grounds. >>I think that what this becomes and what is really important here is knowing that there are going to be a few centralized points that are your access to this web of three, to this broader ecosystem. But being able to trust that these platforms have security in mind. So the security first mindset that empowers you to then go be in charge of data, privacy, being able to take charge of really what your interaction with the rest of this world means. And being, being able to trust that the foundational layer that you're entering that world through is one that can be trusted. I think that as we look at the real world application of this finding that right starting point is really important. >>Yeah. And I w I would just add John to, to what Kristen just said. There are also B2B use cases here. So we want to make sure that, you know, there's a lot of consumer work, but there's also B to B as well. So, you know, imagine you're in decentral land or you're in sandbox a game. If you're a retailer or in a consumer business, you can place your products or your portfolio inside of that game, there is now decentralized finance that's out there. How does that play a role in your company and the way that you're financing for your company? Not just for yourself, like Kristin mentioned, but also for your company. And then dowels, of course, fractional ownership of different things. We're seeing, you know, funding change. SPACs turning into dowels, all of this. If you look at our 24 hour Twitter space, I'm S I can't wait. I think I'm going to actually do a 24 hour bins for myself because >>That's a college come on. We gotta do. >>Right. I know this guy will be with me. Right. And just that last time I did, that was new. Yeah. >>Well, super exciting. I mean, wow, wow. Three could be a doubt. I mean, the vision here is really amazing. I am so impressed. I think this is a great thing because it could go anywhere. What do you guys see at Dow in the future merging communities and merging tribes together? How do you guys have you guys talked about that? What's the, what's the thought process there? >>We actually did talk about doing a Dow. We decided to kick off first and get everybody up to speed on what it was before we jumped into a doubt, which I think is pretty advanced and sophisticated. And so, you know, part of what we also see is if you look at part of the membership, you'll see women of blockchain, women of data BFF. I mean, all these women's groups coming together to unite as long with, along with a lot of major companies, web to companies, Google Deloitte I'll chair, with the who's, who of web three, you've got Gemini, you've got, you know, consensus, you've got blockchain.com. So, you know, I love this because we are coming together for a movement, not for individual companies, but to have an impact on the industry to really educate women. And John, I forgot one of the really cool things we're also announcing today is our first 100 inspirational women of web three. In fact, disco helped me come up with the name of that, because we do want to highlight as examples, all of these great women that are in the space so that we each can reach back and pull others forward. >>Okay, now we've got to get into the, the disco leopard, let's put the lower third up there so we can see it. And the name that's tell us about the story here. And what does it mean to you? Take us through the thought process, the experience and how you envision this unfolding. Cause it's an NFT. You have one it's >>Yeah, totally. I guess. I mean, starting with, so the disco leopard kind of piece to it as well, like in this new space, in the, in the web space, first of all, you get to like, come up with your own identity. So I got to pick this go leopard, like if he doesn't want to be a disco leopard. And so even just coming up with the journey of like, what is your identity with that? And then, you know, you go through that path of being doxed, meaning being revealed, people kind of know who you are or not, or keeping it, you know, kind of a name on the side, that's all. Okay. Like it's all part of that whole decentralized space, which is super exciting. So just so you know, like the disco leper feeds, you know, optimist glass, half full, you know, pessimist, glass, half empty. And then the third piece to that was disco leopard equals. Awesome. And that's where I saw it. And I'm like, that's me a hundred percent. I'm >>Trying to get your lower third, had your name next to it, >>But that's okay. I'm all right with that. I don't mind. So, you know, getting, getting into that to start with, and then, you know, when we were talking about partners and coming into this safe space as well, and yeah, absolutely kind of technology based partners infrastructure to make sure that we're, we're safe and we've got a smooth gateway kind of coming in, but I'm also gonna put communities into partnerships as well, because there are so many NFT projects, you know, defy gaming projects, et cetera, finding your people, finding the community that resonates with you and it's different for everyone. And that's a beautiful thing, but you get to kind of find like-minded people and join them. >>You know, I've been thinking this for about a long, long time, and I thought I was just weird, but now that it's happening, you guys are in the middle of it. The, your identity is so important now, and you could have a community and tribe to belong to, but yet traverse other tribes and move around. This is kind of the whole prospect of unstoppable, right? So Sandy, this is like a great future. You can be protected in a trusted tribe or community, and then still move around to others and engage. It's almost like a packet moving around a network. It's really about people too, on the internet. This is a total complete game changer. It wasn't really, it's not really possible prior to this. >>Yeah. I mean, if you look at all the members, you can move from a metaverse, you can move into gaming, you can go into defy, we've got NFT communities. And, and I love, you know, like you said, traversing, those communities, like we're going to do an auction and we've had donated NFTs. So disco and lazy lions, the queen of lazy lions are donating a lazy lion. Crypto chicks are gonna donate something. If you don't know what these are, these are all NFT communities that have their own identities as well. We have Deadheads NILAH and the long neck ladies, which is started by a 13 year old girl, who's going to talk on one of our Twitter spaces about how she had 13 earned millions of dollars and became times first artist in residence. So there's just, I mean, there's so much potential here and just look at all these amazing women on the screen. You know, I think web three, the face of web three is female. >>That's awesome. Any final thoughts for you guys and, and the session here, it's amazing. First of all, I'm so excited to, to have this conversation and be included and be included into the group here. Thank you for having me closing thoughts on women of web three, how people can get involved, what you guys aspire to be, what are some of the goals can take us through that? >>I guess for me looking at, you kind of asked the question of, you know, what we're most excited about with what's coming up with the international women's day. And, and, you know, what's beyond that. I'm really excited about what unstoppable are doing in introducing the gateway from web two to web three, because that whole 24, the, the events that we have coming on today is, you know, information, education, openness, how to use it, but what's coming beyond there. And it is that transition from web to, and how to, how do we even, like, I'm about to learn that as well. And as I said, I've been in that, in this NMT journey for six months learning thus far, but what does it look like to get into a web three experience and the web page and that design and look and feel so that next step of learning and getting into it. And again, anyone that's kind of being involved in this conversation now you'll be the first people stepping into that space as web three really comes to life. And it is the new web. Very exciting, >>Great. >>I couldn't agree more neural. What I think excites us the most is the level of interest and the level of engagement that we're seeing an unprecedented levels. These and what's coming next is that you're going to see more and more women and more, more people as part of these communities, as we've talked about wanting to learn, wanting to engage and wanting to be part of this and numbers that we really haven't even seen still yet. We've just scratched the surface. And what I want to ask everyone to do is not to wait not to wait until you feel like you're behind. Take action. Now go to our crypto pedia page, open an account at Gemini, start to interact with cryptocurrencies, understand what it means to take, you know, a crypto or digital asset off of a platform and interact with some of these networks, understand what it means to own, and then empty look at unstoppable domains and understand how you can start to dip your toe in. We really want to empower everyone with the knowledge of what you can do here, and we couldn't be more excited about the future >>Also Sandy final word. >>Yes. So I'm excited about a new world where diversity helps shape the next movement. You know, we've seen web one and web two shaped by, you know, homogeneous groups. And what I'm looking forward to is the future, because we know that innovation is driven by diversity of thought. And so for me, I'm really excited about today international women's day, where we're launching all these educational sessions, you know, Kristen mentioned don't wait, get involved, disco, you know, talked a lot about the potential of going from web two to web three. We hope to see tons of women learning from the web to world. And then I just have to say, I mean, if we could get this across in the virtual world, we're then going to also host an in real life I R L event at south by Southwest. So I'm real excited to be back in person to John so that I can actually give my, my fellow colleagues hugs as well. >>I can't wait to be in person. Thank you so much for coming on this. A great program today is international women's day, but every day is women of web three day. Thanks for sharing great insight. I'm looking forward to more conversations and seeing what happens and participating in any way that I can. And thanks for having me and including me in the conversation. Thank you. Thank you. Okay. This is the cubes conversations here in the showcase women of web three. I'm John for your host. Thanks for watching.

>>Hello, and welcome to the cube unstoppable Doneen showcase. I'm John furrier, host of the cube. We got a great discussion here called the influencers around what's going on in web three and also this new sea change cultural change around this next generation, internet web cloud, all happening, Jeremiah yang industry analyst, and founding part of the cleaner insights. Share my great to see you. Thanks for coming on. Appreciate it. Uh, registered vice-president of marketing at unstoppable domains in the middle of all the actions. Gentlemen, thanks for coming on on the cube for this showcase. >>My pleasure. So I think it was done >>At Jeremy. I want to start with you. You've seen many ways, but fallen all of your work for over a decade now. Um, you've seen the web 2.0 wave. Now the web three's here. Um, and it's not, I wouldn't say hyped up. It's really just ramping up and you're seeing real practical examples. Uh, you're in the middle of all the action. What is this web three? Can you frame for us that mean you've seen many waves? What is web three mean? What is it? What is it all about? >>Well, John, you and I worked in the web to space and essentially that enabled peer to peer media where people could, could upload their thoughts and ideas and videos, um, without having to rely on centralized media. And unfortunately that distributed and decentralized movement actually became centralized on the platforms or the big social networks and big tech companies. And this has caused an uproar because the people who are creating the content did not have control, could not control their identities and could not really monetize or make decisions. So web three is what is, which is a moniker of a lot of different trends, including crypto blockchain. And sometimes the metaverse is to undo the controlling that has become centralized. And the power is now shifting back into the hands of the participants again, and then this movement, they want to have more control over their identities, their governance, the content that they're creating, how they're actually building it and then how they're monetizing it. So in many ways, it's, it's changing the power and it's a new economic model. So that's web three without really even mentioning the technologies. Is that helpful? >>Yeah, that's great. And ran. We were talking about, on the cute many times and one notable stat, I don't think it's been reported, but it's been more kind of a rumor. I hear that 30% of the, um, Berkeley computer science students are dropping out and going into crypto or blockchain or decentralized startups, which means that this there's a big wave coming in of talent. You seeing startups, you're seeing a lot more formation. You're seeing a lot more, I would say, kind of ramping up of real people, not just, you know, people with a dream it's actual builders out here doing stuff. What's your take on the web three, moving with all this kind of change happening, uh, from people and also the new ideas being refactored. >>I think that the competition for talent is extremely real. And we start looking at the stats. We see that there is an draft of people that are moving into this space. People that are fascinated by technology and are embracing the ethos of web three. And at this stage, I think it's not only engineers and developers, but we have moved into a second phase where we see that a lot of supporting functions know marketing, being one of them, sales, business development, uh, are being built up quite rapidly. It's not without actually reminding me of the mid two thousands. You know, when I started, uh, working with Google at that point in time, the walled gardens rightly absorbing vast, vast cohorts of young graduates and more experienced professionals that are passionate and moving into the web environment. And I think we are seeing a movement right now, which is not entirely dissimilar, except >>Yeah, Jeremiah. You've seen the conversations over the cloud. I call the cloud kind of revolution. You had mobile in 2007, but then you got Amazon web services changed the application space on how people developed in the cloud. And again, that created a lot of value. Now you're seeing the role of data as a huge part of how people are scaling and the decentralized movement. So you've got cloud, which is kind of classic today. State-of-the-art, you know, enterprise and or app developers and you've got now decentralized wave coming. Okay. You're seeing apps being developed on that, that architecture data is central in all of this, right. So how do you view this? As, as someone who's watching the landscape, you know, these walled gardens are hoarding all the data. I mean, LinkedIn Facebook, they're not sharing that data with anyone they're using it for themselves. So as they can control back, comes to the forefront, how do you see this market with the applications and what comes out of that? >>So the thing that we've seen and out of the five things that I had mentioned that are decentralizing, the ones that have been easier to move across have been the ability to monetize and to build. But the data aspect has actually stayed pretty much central. Frankly. What has decentralized is that the contracts to block blockchain ledgers to those of decentralized. But the funny thing is often a big portion of these blockchain networks are on Amazon 63 to 70%, same thing with Stelara. So they're still using the web 2.0 architectures. However, we're also seeing other farms like IPFS, where the data could be to spread it across a wider range of folks. But right now we're still dependent on what we're to point out. So the vision and the problem with 3.0, when it comes to full de-centralization is not here by any means. I'd say we're at a web 2.2, five, >>Pre-web 3m, no actions there. What do you guys, how do you guys see the, um, the dangers? Cause there's a lot of negative press, but also is a lot of positive press. You seeing, you know, a lot of fraud, we've seen a lot of the crypto fraud over the past years. You've seen a lot of now positives, it's almost a self-governance thing and environment, the way the culture is, but what are the dangers? How do you guys educate people? What should people pay attention to? What should people look for to understand, you know, where to position themselves? >>Yes. So we've learned a lot from web one, we to the sharing economy and we are walking into two and three with eyes wide open. So people have rightfully put forth a number of challenges, the sustainability issues with excess using of computing and mining, the, um, the excessive amount of scams that are happening in part due to unknown identities. Um, also the architecture breaks down in certain periods and there's a lack of regulation. Um, this, this is something different though in the last, uh, uh, periods that we've gone through, we didn't really know what was gonna happen. And we walked in big, this is going to be great. The sharing economy, the gig economy, the social media is going to change the world. Hurrah is very different. Now people are a little bit jaded. So I think that's the big change. And so I think we're going to see that, uh, you know, soar it out and suss out just like we've seen with other prints. It's still very much in the early years, >>Right. I got to get your take on this whole, uh, should influencers and should people be anonymous or should they be doxed out there? You saw the board eight guys that did, that were kind of docs a little bit there and that went, went viral. Um, this is an issue, right? Because we, we just had a problem of fake news, uh, fake people, fake information, and now you have a much more secure environment. Immutability is a wonderful thing. It's, it's a feature, not a bug, right. So how is this all coming down? And I know you guys are in the middle of it with, uh, NFTs as, as authentication tickets. What's your take on this because this is a big issue. >>Look, I think first I am extremely optimistic about technology in general. Uh, so I'm super, super bullish about this. And yet, you know, I think that while crypto has so many upsides, it's important to be super conscious and aware of the downsides that come with it too. You know, if you think about every fortune 500 company, there is always training required by all employees on internet safety reporting of potential attacks. And so on in web three, we don't have that kind of standard reporting mechanisms yet, uh, for bad actors in that space. And so when you think about influencers in particular, they do have a responsibility to educate people about, uh, the potential, but also the dangers of the technology of web three, uh, of crypto basically, uh, whether you're talking about hacks online safety, the need for hardware impersonators on discord, uh, security, uh, storing your, your seed phrase. >>So every actor in France or ELs has got a role to play. I think that, uh, in that context, to your point, it's very hard to tell whether influencers should be, uh, anonymous, opposite inverse or footy dogs. The decentralized nature of web three will probably lead us to see a combination of those anonymity levels, um, so to speak, um, and the, uh, movements that we've seen around some influencers, identities becoming public are particularly interesting. I think there's probably a convergence of web two and web three at play here. You know, maybe a on the notion of 2.5 for, I think in way to all business founders and employees are known and they're held accountable for their public comments and actions. Um, if web three enables us to be anonymous, if dials have 14 control, you know, what happens if people make comments and there is no way to know who they are basically, uh, what if the dowel doesn't take appropriate action? I think eventually there will be an element of community self-regulation where influencers will be, uh, acting in the best interest of their reputation. And I believe that the communities will self regulate themselves and we'll create natural boundaries around what can be said or not. >>I think that's a really good point about, um, influencers and reputation because Jeremiah doesn't matter that you're anonymous. I have an icon that could be a NFT or a picture, but if I have an ongoing reputation, I have trust there's trust there. It's not like a, you know, just a bot that was created just to spam someone. It was just, you know what I'm saying? They getting into you getting into this new way. >>You're right. And that, that word you said, trust, that's what really, this is about. But we've seen that public docks people with their full identities have made mistakes. They have pulled the hood over people's faces in and really scammed them out of a lot of money. We've seen that in it that doesn't change anything in human behavior. So I think over time that we will see a new form of a reputation system emerged even for pseudonyms and perhaps for people that are just anonymous that only show their a potential, a wallet address, a series of numbers and letters. Um, that form might take a new form of a web 3.0 FICO score, and you can look at their behaviors. Did they transact? You know, how do they behave? Do they, were they involved in projects that were not healthy? And because all of that information is public on the chain and you can go back in time and see that we might see a new form of, of, of a scoring emerge. >>Of course, who controls that scoring that's a whole nother topic, gong on control and trust. So right now, John, we do see that there's a number of projects, new NFG projects, where the founders will claim and use this as a point of differentiation that they are fully docs. So you know who they are and their names. Secondly, we're seeing a number of, um, uh, products or platforms that require KYC, know your customer so that self-identification often with a government ID or a credit card in order to bridge out your, your coins and turn that into a Fiat. In some cases that's required in some of these marketplaces. So we're seeing a coalition here between, uh, full names and pseudonyms and being anonymous. >>That's awesome. And that, and I think this is the new, again, a whole new form of governance ran. You mentioned some comments about Dow. So I want to get your thoughts again, you know, Jeremiah, we become historians over the years. We're getting old, I'm a little bit older than you, but we've seen the movie war. You know, I remember breaking in the business when the computer standards bodies were built to be more organic, and then they became much more of a kind of an anti-innovation environment where people, the companies would get involved the standards organization just to slow things down and muck things up a little bit. Um, so you know, you look at Dallas like, Hmm, is a Dal, a good thing, or a bad thing that the answer is from people I talked to, is it depends. So I'd love to get your thoughts on getting momentum and becoming defacto with value, a value proposition. Vis-a-vis just adapt for the sake of having a doubt. This has been a conversation that's been kind of in the inside the baseball here, inside the ropes of the industry, but there's trade-offs, can you guys share your thoughts on when to do a Dow and when not to do a Dow and the benefits and trade-offs of that? >>Sure. Maybe I'll start off with a definition and then we'll go to rent. So a Dao, a decentralized autonomous organization, the best way to think about this. It's a digital cooperative and we've heard of worker cooperatives before the differences that they're using blockchain technologies in order to do the three things, identity governance, and rewards and mechanisms. They're relying on web 2.0 tools and technologies like discord and telegram and social networks to communicate. And there's a cooperative they're trying to come up with a common goal, um, Ren, but what's your take, that's the setup? >>So, you know, for me, when I started my journey into crypto and web tree, I had no idea about, you know, what that actually meant and, uh, an easy way for me to think of it and to grasp the nature of it was about the comparison between a dowel and perhaps a more traditional company structure. Um, you know, in a traditional company structure, you have a Yorkie, the company is led by a CEO and other executives, uh, that that was a flat structure. And it's very much led by a group of core contributors. So, uh, to Jeremiah's point, you know, you get that notion of a co-operative, uh, type of structure. The decision-making is very different. You know, we're talking about a hot, super high level of transparency proposals getting submitted and, and voting systems, using applications, as opposed to, you know, management, making decisions behind closed doors. >>I think that speaks to a totally new form of governance. And I think we have hardly, hardly scratched the surface. We have seen recently, uh, very interesting moments in web tree culture. And we have seen how that was suddenly have to make certain decisions and then come to moments of claiming responsibility, uh, in order to, uh, put his behavior, uh, of some of the members. I think that's important. I think it's going to redefine how we're thinking about that, particularly new governance models. And I think he's going to pave the way for a lot of super interesting structure in the near future. >>That's a great point, ran around the transparency for governance. So John, you posed the question, does this make things faster or slower? And right now most dowels are actually pretty slow because they're set up as a flat organization. So as a response to that, they're actually shifting to become representative democracies. Does that sound familiar where you can appoint a delegates and use tokens to vote for them? And they have a decision power, almost like a committee and they can function. And so we've seen actually there are some times our hierarchies, except the person at the top is voted by those that have the tokens. In some cases, the people at the top had the most tokens, but that's a whole nother topic. So we're seeing a wide variety of governance structures, >>You know, rent. I was talking with Matt G the founder of, and I was telling him about the domain name system. And one little trivia note that many people don't know about is that the U S government cause unit it was started by the U S the department of commerce kept that on tight leash because the international telecommunications union wanted to get their hands on it because of ccTLDs and other things. So at that time, because the innovation yet wasn't yet baked out. It was organically growing the governance, the rules of the road, keeping it very stable versus meddling with it. So there's certain technologies that require Jeremiah that let's keep an eye on as a community. Let's not formalize anything like the government did with the domain name system. Let's keep it tight. And then finally released it, I think multiple years after 2004, I think it went over to the, to the ITU, but this is a big point. I mean, if you get too structured, organic innovation, can't go, what you guys' reaction to that. >>So I think to take a stab at it, um, we have as a business, you know, thinking of unstoppable domains, a strong incentive to innovate, uh, and this is what is going to be determining longterm value growth for the organization for, uh, partners, for users, for customers. So, you know, that degree of formalization actually gives us a sense of purpose and a sense of action. And if you compare that to Dows, for instance, you can see how some of the upsides and downsides can pan out either way. It's not to say that there is a perfect solution. I think one of the advantages of the Dow is that you can let more people contribute. You can probably remove bias quite effectively, and you can have a high level of participation and involvement in decisions and all the upside in many ways. Um, you know, as a company, it's a slightly different setup. We have the opportunity to coordinate a very, uh, diverse and part-time workforce in a very, uh, you know, different way. Um, and we do not have to deal with the inefficiencies that might be, you never run to some form of extreme decentralization so that those are balanced from an organizational structure, uh, that comes, uh, either side >>Sharon. I want to get your thoughts on, on, on a trend that you've been involved in. We both been involved in, and you're seeing it now with the kind of social media world, the world of a role of an influencer it's kind of moved from what was open source and influencer was a connect to someone who shared graded content, um, enabled things to much more of a vanity that the photo on Instagram and having a large audience. Um, so is there a new influencer model with web three or is it, is it the, I control the audience I'm making money that way. Is there a shift in the influencer role or, or ideas that you see that should be in place for what is the role of an influencer? Because as web three comes, you're going to see that role become instrumental. We've seen it in open source projects, influences, you know, the people who write code or ship code. So what's your take on that because there's been a conversation with people who have been having the word influencer and redefining and reframing it. >>Sure. The influence model really hasn't changed that much, but the way that they're behaving has when it comes to at three, this market, I mean, there's a couple of things. Some of the influencers are in investors. And so when you see their name on a project or a new startup, that's an indicator, there's a higher level of success. You might want to pay more attention to it or not. Secondly, influencers themselves are launching their own NFC projects. Gary Vaynerchuk, a number of celebrities, Paris Hilton is involved and they are also doing this as well. Steve Aoki, a famous DJ launched his as well. So they're going head first and participating in building in this model. And there are communities are coming around them and they're building economies. Now the difference is it's not, I speak as an influencer to the fans. The difference is that the fans are now part of the community and they hold, they literally holding own some of the economic value, whether it's tokens or the NFTs. So it's a collaborative economy, if you will, where they're all benefiting together. And that's a, that's a big difference as well. Lastly, there's, there's one little tactic we're seeing where marketers are airdropping in FTS, branded NFTs influencers with wallet. So you can see it in there. So there's new tactics that are forming as well. Yes. >>Super exciting. Ren, what's your reaction to that? Because he just hit on a whole new way of, of how engagement's happening, how people are closed, looping their, their votes, their, their votes of confidence or votes with their wallet. Um, and some brands which are artists now, influencers. I mean, this is a whole game-changing instrumentation level. >>I think that's what we are seeing right now is super re invigorating as a marketeer who has been around for a few years, basically. Um, I think that the shift in the web brands are going to communicate and engage with our audiences is profound. It's probably as revolutionary and even more revolutionary than the movement for, uh, brands in getting into digital. And you have that sentiment of a gold rush right now with a lot of brands that are trying to understand NFTs and, and how to actually engage with those communities and those audiences, um, dominate levels in which brands and influencers are going to engage. There are many influencers that actually advanced the message and the mission because the explosion of content on web tree has been crazy. Part of that is due to the network effect nature of crypto, because as Jeremiah mentioned, people are incentivized to promote projects, holders of an NFTA, also incentivized to promote it. So you end up with a flywheel, which is pretty unique of people that are hyping the project, and that are educating other people about it and commenting on the ecosystem, uh, with IP rights, being given to NFT holders, you're going to see people pull a brand since then of the brands actually having to. And so the notion of brands, again, judging and delivering, you know, elements of the value to their fans is something that's super attractive, extremely interesting. And I think, again, we've hardly scratched the surface of all that is possible in that. >>It's interesting. You guys are bringing some great insight here, Jeremiah, the old days, the word authentic was a kind of a cliche and brands like tried to be authentic and they didn't really know what to do. They called it organic, right? And now you have the trust concept with aura authenticity and environment like web three, where you can actually measure it and monetize it and capture it if you're actually authentic and trustworthy. >>That's right. And because it's on blockchain, you can see how somebody is behave with their economic behavior. In the past, of course, big corporations. Aren't going to have that type of trail on blockchain just yet. But the individuals and executives who participate in this market might be, and we'll also see a new types of affinity. Do you executives, do they participate in these NFT communities? Do they purchase them? We're seeing numerous brands like Adidas to acquire, uh, you know, different MTV projects to participate. And of course the big brands are grabbing their domains. Of course, you can talk to rant about that because it's owning your own name as a part of this trust and being >>That's awesome. Great insight guys. Closing comments, takeaways for the audience here. Each of you take a minute to give, share your thoughts on what you think is happening now, where it goes. All right, where's it going to go, Jeremy, we'll start with you. >>Sure. Um, I think the vision of web three, where full decentralization happens, where the power is completely shifted to the edges. I don't think it's going to happen. I think we will reach web 2.5 and I've been through so many tech trends where we said that the power is going to shift completely to the end. It just doesn't, there's two reasons. One is the venture capital are the ones who tend to own the pro programs in the first place. And secondly, the, the startups themselves end up becoming the one percenters. We see Airbnb and Uber are one-percenters now. So that trend happens over and over and over. Now with that said, the world will be in a better place. We will have more transparency. We will see economic power shifted to the people, the participants. And so they will have more control over the internet that they are building. >>Right. And final, final comments, >>Um, fully aligned with Jeremiah on the notions of control, being returned to users, the notion of ownership and the notion of redistribution of the economic value that is created across all the different chains, uh, uh, that we are going to see. And, and all those ecosystems. I believe that we are going to witness to palliate movements of expansion, one that is going to be very lateral. When you think of crypto and web three, essentially you think of a few hundred tribes. Uh, and I think that more projects are going to appear more, uh, coalitions of individuals and entities, and those are going to exist around those projects. So you're going to see an increase in the number of tribes that one might join. And I also think that we're going to progress rapidly from the low hundred millions of people and an FTE holders into the billions perfectly. Uh, and that's going to be extremely interesting. I think that the next wave of crypto users and Ft fans are going to look very different from the early adopters that we had witnessed in the very early days. So it's not going to be your traditional model of technology, adoption curves. I think the demographics going to shift and the motivations are going to be different as well, which is going to be a wonderful time to educate and engage with new community members. >>All right, Ron, Jeremy, thank you both for that great insight, great segment, uh, breaking down web three or web 2.5 as Jeremiah says, but we're in a better place. This is a segment with the influencers as part of the cubes and the unstoppable domain showcase. Um, John for your hosts. Thanks for watching.

>>Mhm. Mhm. >>We're here with the Cube covering Calm Vault Connections 21. We're gonna look at the data protection space and how cloud computing has advanced the way we think about backup recovery and protecting our most critical data. Ranga Rajagopalan, who is the vice president of products at Con vault and Stephen Orban, who's the General manager of AWS marketplace and control services gents. Welcome to the cube. Good to see you. >>Thank you. Always A pleasure to see you here >>steve. Thanks for having us. Very >>welcome, Stephen, let's start with you. Look the cloud has become a staple of digital infrastructure. I don't know where we'd be right now without being able to access enterprise services I. T. Services remotely. Um But specifically how our customers looking at backup and recovery in the cloud, is it a kind of a replacement for existing strategies? Is it another layer of protection? How are they thinking about that? >>Yeah. Great question. David again, thank thanks for having me. And I think you know, look if you look back to 15 years ago when the founders of AWS had the hypothesis that many enterprises governments and developers we're gonna want access to on demand pay as you go I. T. Resources in the cloud. Uh None of us would have been able to predict that it would have Matured and um you know become the staple that it has today over the last 15 years. But the reality is that a lot of these enterprise customers, many of whom have been doing their own IT infrastructure for the last 10, 20 or multiple decades do have to kind of figure out how they deal with the change management of moving to the cloud. And while a lot of our customers um will initially come to us because they're looking to save money or costs, almost all of them decided to stay and go big because of the speed at which they are able to innovate on behalf of their customers and when it comes to storage and backup, that just plays right into where they're headed. And there's a variety of different techniques that customers use, whether it be, you know, a lift and shift for a particular set of applications or a data center where they do very much. Look at how can they replace the backup and recovery that they have on premises in the cloud using solutions like, but we're partnering with console to do or completely reimagining their architecture for net new developments that they can really move quickly for their customers. Um and and completely developing something brand new, where it is really a, you know, a brand new replacement and innovation for for for what they've done in the past. >>Great, thank you, Stephen Rachael, I want to ask you about the d were digital. Look, if you're not a digital business today, you're basically out of business. So, my question to you is how have you seen customers change the way they think about data protection during what I call the forced March to digital over the last 18, 19 months or customers, you know, thinking about data protection differently today >>definitely Dave and and thank you for having me and steven. Pleasure to join you on this cube interview first going back to stevens comments can't agree more. Almost every business that we talked with today has a cloud first strategy, a cloud transformation mandate and you know, the reality is back to your digital comment. There are many different paths to the hybrid multi cloud and different customers. You know, there are different parts of the journey. So I still was saying most often customers at least in the data protection perspective start the conversation by thinking here have all these tips. Can I start using cloud as my air gap long term retention target and before they realized they start moving their workloads into the cloud and none of the backup and record yesterday's are going to change. So you need to continue protecting the clothes, which is where the cloud native data protection comes in and then they start innovating around er, can I use cloud as media sites so that you know, I don't need to meet in the other side. So this year is all around us. Cloud transformation is all around us and and the real essence of this partnership between AWS and calm vault is essentially to dr and simplify all the paths to the club regardless of whether you're going to use it as a storage started or you know, your production data center, all your dear disaster recovery site. >>Yeah, it really is about providing that optionality for customers. I talked to a lot of customers and said, hey, our business resilience strategy was really too focused on D. R. I've talked to all the customers at the other end of the spectrum said we don't even have a D. R. Strategy now, we're using the cloud for that. So it's really all over the map and you want that optionality. So steven and then go ahead. >>Please, ransomware plays a big role in many of these considerations that greatly. It's unfortunately not a question of whether you're going to be hit by ransomware, it's almost we can like, what do you do when you're hit by ransomware and the ability to use the clothes scaled immediately, bring up the resources, use the cloud backups has become a very popular choice simply because of the speed with which you can bring the business back to normal our patients. The agility and the power that cloud brings to the table. >>Yeah, ransomware is scary. You don't, you don't even need a high school diploma to be a ransomware ist you can just go on the dark web and by ransomware as a service and do bad things and hopefully you'll end up in jail. Uh Stephen we know about the success of the AWS marketplace, uh you guys are partnering here. I'm interested in how that partnership, you know, kind of where it started and how it's evolving. >>Yeah, happy to highlight on that. So, look when >>we when we started >>Aws or when the founders of aws started aws, as I said 15 years ago we we realized very early on that while we were going to be able to provide a number of tools for customers to have on demand access to compute storage, networking databases that many, particularly enterprise and government government customers still use a wide range of tools and solutions from hundreds, if not in some cases thousands of different partners. I mean I talked to enterprises who literally use thousands of of different vendors to help them deliver their solutions for their customers. So almost 10 years ago, we're almost at our 10 year anniversary for AWS marketplace, we launched the first substantiation of AWS marketplace which allowed builders and customers to find try buy and then deploy third party software solutions running on amazon machine instances also noticed as armies natively right in their AWS and cloud accounts to complement what they were doing in the cloud. And over the last nearly 10 years we've evolved quite a bit to the point where we support software and multiple different packaging types, whether it be amazon machine instances, containers, machine learning models and of course SAS and the rise of software as a service. So customers don't have to manage the software themselves. But we also support data products through the AWS Data exchange and professional services for customers who want to get services to help them integrate the software into their environments. And we now do that across a wide range of procurement options. So what used to be pay as you go amazon machine instances now includes multiple different ways to contract directly, customer can do that directly with the vendor with their channel partner or using kind of our public e commerce capabilities. And we're super excited, um, over the last couple of months we've been partnering with calm vault to get their industry leading backup and recovery solutions listed on AWS marketplace, which is available for our collective customers now. So not only do they have access to convulse awesome solutions to help them protect against ransomware as we talked about and to manage their backup and recovery environments, but they can find and deploy that directly in one click right into their AWS accounts and consolidate their building relationship right on the AWS and voice. And it's been awesome to work with with Rhonda and the product teams and convo to really, um, expose those capabilities where converts using a lot of different AWS services to provide a really great native experience for our collective customers as they migrate to the cloud. >>Yeah, the marketplace has been amazing. We've watched it evolve over the past decade and, and, and it's a, it's a key characteristic of everybody has a cloud today. We're a cloud to butt marketplaces unique uh, in that it's the power of the ecosystem versus the resources of one and Ringo. I wonder from, from your perspective, if you could talk about the partnership with AWS from your view and then specifically you've got some hard news, I wonder if you could talk about that as well. >>Absolute. So the partnership has been extended for more than 12 years. Right. So aws and Commonwealth have been bringing together solutions that help customers solve the data management challenges and everything that we've been doing has been driven by the customer demand that we seek. Right customers are moving their workloads in the cloud. They're finding new ways of deploying their workloads and protecting them. Um, you know, earlier we introduced cloud native integration with the EBS API which has driven almost 70% performance improvements in backup and restores. And when you look at huge customers like coca cola who have standardized on AWS um, combo. That is the scale that they want to operate in. You manage around 1 50,000 snapshots 1200 ec, two instances across six regions. But with just one resource dedicated for the data management strategy. Right? So that's where the real built in integration comes into play and we've been extending it to make use of the cloud efficiencies like our management and auto scale and so on. Another aspect is our commitment to a radically simple customer experience and that's, you know, I'm sure Stephen would agree it's a big month for at AWS as well. That's really together with the customer demand which brought us together to introduce com ball into the AWS marketplace exactly the way Stephen described it. Now the heart announcement is coming back up and recovery is available in native this marketplace. So the exact four steps that Stephen mentioned, find, try buy and deploy everything simplified through the marketplace So that our aws customers can start using far more back of software in less than 20 minutes. A 60 year trial version is included in the product through marketplace and you know, it's a single click buy, we use the cloud formation templates to deploy. So it becomes a super simple approach to protect the AWS workloads and we protect a lot of them. Starting from easy to rds dynamodb document DB um, you know, the containers, the list just keeps going on. So it becomes a very natural extension for our customers to make it super simple to start using convert data protection for the w >>well the con vault stack is very robust. You have extremely mature stack. I want, I'm curious as to how this sort of came about and it had to be customer driven. I'm sure where your customers saying, hey, we're moving to the cloud, we had a lot of workloads in the cloud, we're calm vault customer. That intersection between calm vault and AWS customers. So again, I presume this was customer driven. but maybe you can give us a little insight and add some color to that. >>Everything in this collaboration has been customer driven. We were earlier talking about the multiple paths to chlorine vapor example and still might probably add more color from his own experience at our jones. But I'll bring it to reference Parsons who's a civil engineering leader. They started with the cloud first mandate saying we need to start moving all our backups to the cloud but we have wanted that bad actors might find it easy to go and access the backups edible is um, Conwell came together with the security features and com well brought in its own authorization controls and now we have moved more than 14 petabytes of backup data into the club and it's so robust that not even the backup administrator and go and touch the backups without multiple levels of authorization. Right. So the customer needs, whether it is from a security perspective performance perspective or in this case from a simplicity perspective is really what is driving this. And and the need came exactly like that. There are many customers who have no standardized on it because they want to find everything through the AWS marketplace. They want to use their existing, you know, the AWS contracts and also bring data strategy as part of that so that that's the real um, driver behind this. Um, Stephen and I hope actually announced some of the customers that I actively started using it. You know, many notable customers have been behind this uh, innovation, don't even, I don't know, I wanted to add more to that. >>I would just, I would, I would just add Dave, you know, look if I look back before I joined a W S seven years ago, I was the C I O at dow jones and I was leading a a fairly big cloud migration there over a number of years. And one of the impetus is for us moving to the cloud in the first place was when Hurricane Sandy hit, we had a real disaster recovery scenario in one of our New Jersey data centers um, and we had to act pretty quickly convert was, was part of that solution. And I remember very clearly Even back then, back in 2013, they're being options available to help us accelerate are moved to the cloud and just to reiterate some of the stuff that Rhonda was talking about consoles, done a great job over the last more than a decade, taking features from things like EBS and S three and EC two and some of our networking capabilities and embedding them directly into their services so that customers are able to more quickly move their backup and recovery workloads to the cloud. So each and every one of those features was as a result of, I'm sure combo working backwards from their customer needs just as we do at >>AWS >>and we're super excited to take that to the next level to give customers the option to then also by that right on their AWS invoice on AWS marketplace. >>Yeah, I mean, we're gonna have to leave it there steven, you've mentioned several times the sort of the early days of back then we were talking about gigabytes and terabytes and now we're talking about petabytes and beyond. Guys. Thanks so much. I really appreciate your time and sharing the news with us. >>Dave. Thanks for having us. >>All right. Keep it right there more from combat connections. 21. You're watching the >>cube. Mm hmm.

welcome everybody to this cube conversation my name is dave vellante and we're joined today by richard goodwin who's the group director of i.t at ultraleap and abhishek kumar who manages dell's power store product line just directs that product line along with several other lines for the company gentlemen welcome to the cube hey dave hi that's me so richard ultra leap very cool company tracks hand movements and so forth tell us about the company and the technology are really interested in how it's used yeah we have many uh product lines uh obviously we're very innovative uh innovative um and the organization was spun up from phd a number of phd students who were the co-founders for ultra leap and initially with mid-air haptics as many people may have seen but also hand tracking mid-air touch uh sense and feel uh so yeah it's it's it's quite impressive um what we have produced and the number of sectors and markets that we are in um and obviously to to push us to where we are we have relied upon lots of the dell technology both software and hardware and what's your role at the company i'm the group i t director and i'm responsible for the it and business platforms um all infrastructure network hardware software um and also the transition of those platforms to ensure that we're scalable and we are able to develop our software and hardware um as rapidly as possible awesome yeah a lot of data behind that too i bet um okay avashek you direct a number of products at dell across the portfolio unity extreme io the sc series and of course power vault it's quite the portfolio that you look after so let's get into the case study if we can a bit uh richard maybe you could paint a picture of of your environment uh some of the key applications that you're supporting and maybe what your infrastructure looks like give us a high level view sure uh so um pre uh powerschool we had um quite a a disparate uh architecture so um a fairly significant split and siding on the side of uh cloud uh not as hybrid as we would like and not uh not as much as on-prem as we would have liked and hey that has changed quite significantly um so we now have a number of servers and storage and storage arrays that we have on on-premise um and then we host ourselves so we are moving quite rapidly you know as a startup and then moving to a scale-up we needed that that scalability and that versatility and also the whole op-ex versus capex and also not being driven by lots of um sas products and architecture and infrastructure where we needed to be in control because of our development cycles and our products product development so wait okay so so too much cloud i'm hearing you run a little bit a dose of on-prem explain that a little bit more the cloud wasn't doing it for you in terms of your development cycle your control can you double click on that yeah some of the some of the control and you know there's always a balance because there's certain elements of uh our development cycles and our engineering uh software engineering where we need a very high parallelism uh for some of the work that we're doing which then you know the capex investment makes things very very challenging and not commercially the right thing to do however uh there are some of our information some of our ip um some of the secure things that we do we also do not want upgrades as an example or any outages or certain types of server and spec that we need to be quite bespoke and unique and that needs to be within our control got it okay thank you for that abhishek we're going to talk about powerstor today so set it up please tell us about powerstor what it is you know why it's important to this conversation sure so power store is a product that we launched may of 2020 roughly a little bit more than a year now and it's a brand new architecture that dell technologies released and at the end of the day i'll talk about a few unique aspects of the product but at the end of the day the where we start with it's a storage platform right so uh where we see similar to what richard is saying here uh uh in terms of being able to consolidate the customer's environment whether it is block file v-balls physical virtual environments uh and and it's as i said it's a brand new architecture where we leveraged pieces of existing products where it made sense uh and it's a it's we are using all the latest and greatest technologies delivering the best performance based data reduction uh and and where we see a lot of traction is the options that it brings to the table for our customers in terms of flexibility whether they want to add capacity compute uh whether in fact uh we have a apps on dev deployment model where customers can consolidate their compute as well on the storage platform if needed so a lot of innovation from a platform perspective itself and it's not just about the platform itself but what comes along with it right so we referred it as an ecosystem part of it where we work with ansible playbook csi plug-in you name it right and it's the storage platform by itself doesn't that doesn't stand by itself in a customer's environment there are other aspects of the infrastructure that it needs to integrate with as well right so if they're using ansible playbooks we want to make sure the integration is there got it and last perhaps uh not the least is uh the intelligence built into the platform right so as we are building these capabilities into the product uh there is intelligence built into the product as well as outside the product where things like cloud iq things like uh technologies built into power store itself makes it that much easier for the pro for the customers to manage the infrastructure and go from there thank you for that so richard what was the workload so actually you started with sort of a green field on-prem if i understand it correctly what was the workload that you were sort of building around or workloads sorry we had a um a number of different applications some of which we cannot really talk about too much um and then we engaged them regarding um the storage uh issue that we had and we engaged the our account lead accounting exec and a number of solution architects were working with us to ensure that we had the optimal solution dell were selected over the competitors there's a many reasons you know the new technology the deduplication the compression the data overall data reduction um and the guarantee uh that also came uh came with that the four to one data reduction guarantee which was significant to us because of the amount of data that we hold and we have you know as i mentioned we're pulling further further data of ours back um into our hosted environments which will end up on the power store especially with the deduplication that we're now getting we've now actually hit nine to one which is you know significant we were expecting four to one maybe five to one with some of the data types and what was excellent dell where that confident that they did not even review our data types prior and they were willing to stand by that guarantee of four to one and we've excelled that you know we've got significant different data types on on that array and we've hit nine to one and that's gradually grown over the last nine months you know we were kind of at six and we moved to seven and now we're hitting nine to one ratios that's great so you get a little free storage that's interesting what you're saying richard because i just assumed that a company that's guarantees four to one is going to say okay let us let us inspect your workload first and then and then we'll do the deal uh so avashek what's the tech behind that data reduction that you're able to with such confidence not have to and pre-inspect the workload in this case anyway yes sir so it goes back to the technologies that goes behind the product right so so we stand behind the technology and we want to make it simpler for our customers as well where again we don't want to spend weeks looking at all the data scanning all the data before giving the guarantee so we stand behind the technology where we understand that as the data is coming in we are always going to duplicate it we are always going to compress it there is technology within the product where we are offloading some of that to the uh outside the cpu so it is not impacting the performance that the applications are going to see so data reduction by itself is not going good enough performance by itself is not good enough both of them have to be together right so and that's what powerstroke brings to the table yeah thank you so richard i'm interested i mean i remember the power store announcement uh i sort of saw it leading up to it and one of the big thrusts from dell the way i phrase it is essentially trying to create a cloud-like experience on-prem so really focus on simplicity so my question to you is let's start with just the deployment you know how complicated was it to install what was that process like you know how many clicks not that you have to tell me how many clicks but you know what i'm asking is is how difficult was it to get from zero to you know up and running well we actually stepped down a very difficult challenge um we were in quite a difficult situation where we'd pretty much gone off of a cliff in terms of our iops performance um so the rfp was quite rapid and then we needed to get which whoever which vendor was successful we need to get that deployed rather rapidly and on the floor in our data center and server rooms uh which we did um and it was very very simplistic within three weeks of placing the order we had that array in our server rack and we had begun the migration it was very simple to set up um and the management of that array has been we we've seen a i think 40 reduction in terms of effort to be able to manage our storage because it is very self-contained um you know even from a reporting perspective the deployment the migration was all very very very simplistic and you know we we've done some works recently where we had to also um do some work on the array and some other migrations that we were doing and the resilience came came to came to the forefront of where you know the the dual architecture and no single point of failure enabled us to do some things that we needed to do quite rapidly because of the the dual nodes and the resilience within within the unit within the power store itself was considerable where we kept performance up it will also prioritize any disk rebuilds keeps the incoming ingest rates uh high and prioritizes the you know the workloads which is you know really impressive especially when we are moving so quickly with our technology we don't really have much time to you know micromanage the estate can you can you just repeat what you said on the percent reduction i think i heard you you cut out there a little bit a potent reduction on on management on on on the labor side yeah so our uh our lead storage engineer is estimated around 40 less management wow okay so that's that's good so actually i love this conversation because uh you know in the early days of automation people like ah that's my job provisioning luns i'm really good at it but i think people are realizing that it's actually you know not something that you want to be really good at it's something that you want to eliminate so now maybe it's a he that storage engineer got his or her nights and weekends back uh but but what do they do now when they get that extra time what do you what do you put them on you know more strategic initiatives or you know other other things in the to-do list what's that like the last thing uh you know any of my team whether it's the the storage leads or some of the infrastructure team that are also involved and engaged because you know the organization we have to be quite versatile as a team in our skill sets we don't want to be doing those bau uh mundane tasks even the storage engineer does not want to be you know allocating luns and allocating storage to physical servers vms etc we want all of that to be automated and that you know those engineers are now working on you know some of the cutting edge things that we're trying to do with machine learning is as an example um which is much more interesting it's what they want to be doing um you know that aids the obvious things like retention interest and personal development we don't want to be you know that base i.t infrastructure management is is not not where you know any of the engineers want to be in terms of the decision to go with dell power store i'm definitely hearing there was a relationship there was an existing relationship with dell i'm sure that played into it um there were many things so you know the relationship wasn't really part of this even though i mentioned the end user compute you know in any sector or anything that we're procuring we want best of breed and you know a best of set and that was done on you know cost is definitely a driver the technology you know is of interest to us we're a tech company new technology to us is also fascinating not only our own uh but also the storage guarantee the simplicity um the resilience with it within the uh unit also the ability which was key to us because of what we're trying to do with our hybrid model and bring bring back and repatriate some of the data as it were from the cloud we needed that ability to with ease to be able to scale up and scale out and the uh power stall gave us that when you say cost uh i want to dig into that price or you know the the the price tag or the the cost i mean when you do the business case and i wonder if we could add a little color to that yeah there's two elements to this so they're not either the cost and the price tag uh but then also cost of ownership and the comparisons that we were running against the other vendors but also the comparisons that we were running from a capex investment against opex and what we have in the cloud and also the performance you know the performance that we get from um the cloud and our cloud storage and the resilience within that and then also the initial price tag and then comparing the capex investment to the opex were all elements that were key to us making our decision and you know that there has to be some credit taken by the dow account team and that their relationship towards the final throws of that rfp you know were key initially not all we were just looking for the best possible storage uh solution for ultralite and to to determine that on your end was that like a feature because it's sometimes fuzzy what the business impact is going to be like that 40 you mentioned or the data reduction at nine to one when there's a promise of four to one did you what did you do did you kind of do a feature function analysis and sort of line that up and and say okay i'm gonna map that to our business pro our processes our i.t processes and try to predict what the impact would be is that how you did it or did you take a different approach we did so we did that obviously between vendors as you'd expect in an rfp but then also mapping to how that would impact the business and that that is not an easy and easy process to go through and we've seen more games even comparing one vendor to another some of that because of the the technology the terminology is very very different and sometimes you have to bring that upper level and also gain a much more detailed understanding which at times can be challenging but we did a very like for like comparison um and also lots of research but you're quite right the the the business analysis to what we needed um we had quite a good forecast uh and from some of our historical information and data and also our engineering and business and strategic roadmap we were able to map those two together not the easiest of experiences not one that i want to repeat but we got yeah a little bit of art and science involved avishak maybe you could talk about power store what you know give us the commercial what makes it different from other products in the market uh things like cloud iq uh maybe you could talk about that a little bit sure so uh so again from uh it's music to my ears when richard talks about the ease of deployment and the management because there is a lot of focus on that but even as i said earlier from a technology perspective a lot of goodness built in in terms of being able to consolidate uh customers environment into onto the platform so that's more from a storage point of view give the best performance give the best data reduction storage efficiencies uh the second part of course the the flexibility the options that power store gives to the customers in terms of sort of disaggregating the storage and the compute aspects of it so if as a customer i want to start with different points in terms of what our customer requirements are today but going forward as your requirements change from a compute capacity perspective you can use the scale up and scale out capabilities um and and then the intelligence built in right so as you scale out your cluster being able to move storage around right as needed uh being able to do that non-disruptively so instead of saying that mr customer your uh your storage is going to you're at 90 capacity being able to say that based on your historical trending uh we expect you run out of capacity in six months some small things like that right and of course uh if the uh the dial home the support assist capabilities are enabled cloud iq brings a lot of intelligence to the table as well in addition to that as i mentioned earlier there is apps on capability that gives another level of flexibility to the customers to integrate your storage infrastructure into a virtual environment if the customer chooses to do that and last but not the least it's not just about the product right so it's about the the programs that we have put around it anytime upgrade is a big differentiator for us where it's an investment protection program for customers where if they want to have the peace of mind in terms of three months nine months three years down the line if we come out with new technologies being able to be upgrade to that non-destructively is a big part of it as well so it's a peace of mind for the customers that yes i'm getting into the power store architecture today but going forward i am i'm protected from that point of view so anytime upgrade it's a new business program that we put around leveraging the architectural benefits of power store uh whether your computer requirement your storage requirements change your your you're covered from that point of view so again a very quick overview of uh of what power store is why it is different and again that's where that comes from thank you for that richard are you are you actively using cloud iq do you get what kind of value do you get from it not currently um however we have we have had plans to to do that the um uptake and how basically our our internal work node is not allowed us to to do that but one of the other key reasons for selecting powersupport was the the non-disruptive element you know with other sas products other providers and other issues that we have experienced that was one that was a a key decision for us from a um a power store perspective one of the other you know i i to go back to the conversation slightly with in terms of performance you know we are getting getting now you know there's a 400 percent speed of improvement of publishing uh we've got 80 percent faster code coverage and our firmware built 1 300 quicker than they were previously and the time savings of the storage engineer and you know as a director of it i often ask for certain reports from from the storage array when we're working out for um storage forecasts performance forecasts and you know when we're coming close to product releases and code drops um that we're trying to manage the the reporting on the power store is is impressive whereas previously my storage engineer would not be the uh the most happiest of people when i would be trying to pull you know month-end quarterly reports etc uh whereas now it's it's ease and we have live dashboards running we can easily extract that information i love that uh because you know so often we talk about the 40 reduction in it labor uh which okay that that's cool but then your cfo's gonna say yeah but it's not like we're getting rid of people we you know we're still spending that money and okay they're getting you're now into soft dollars but when you talk about 400 percent 18 1300 percent you're talking about business impact and that's telephone numbers to a cfo so i i love those metrics thank you for sharing yeah but when they obviously some of our dashboards when they're visualized that they are very hard-hitting you know the impact you know you're quite right to see if it does chase down you know the availability and the resource profile however we're on a huge upward trajectory so having the right resilience and infrastructure in places is exactly what we need and as i mentioned before those engineers are all reallocated to much more interesting work and you know the areas that will actually drive our business forward speaking of resilience are you doing any replication uh not currently however there uh we've actually got a meeting regarding this today with some of the dell's enterprise and some of their storage specialists in a couple of hours time actually because that is very high on the agenda for us to be able to replicate and have a high availability um cluster and another uh potentially power stone made because so i was going to ask you kind of where you want to take this thing i'm hearing you you're looking at cloud iq really try to exploit that so you got some headroom here in terms of the value that you can get out of this platform uh to to do replication faster recovery etc maybe protect against you know events guys thanks so much for your time really appreciate your insights and thank you for watching this cube conversation this is dave vellante and we'll see you next time you

(Techno music plays in intro) >> We're here with theCUBE covering Commvault Connections 21. And we're going to look at the data protection space and how cloud computing has advanced the way we think about backup, recovery and protecting our most critical data. Ranga Rajagopalan who is the Vice President of products at Commvault, and Stephen Orban who's the General Manager of AWS Marketplace & Control Services. Gents! Welcome to theCUBE. Good to see you. >> Thank you, always a pleasure to see you Dave. >> Dave, thanks for having us. Great to be here. >> You're very welcome. Stephen, let's start with you. Look, the cloud has become a staple of digital infrastructure. I don't know where we'd be right now without being able to access enterprise services, IT services remotely, Um, but specifically, how are customers looking at backup and recovery in the cloud? Is it a kind of a replacement for existing strategies? Is it another layer of protection? How are they thinking about that? >> Yeah. Great question, Dave. And again, thanks. Thanks for having me. And I think, you know, look. If you look back to 15 years ago, when the founders of AWS had the hypothesis that many enterprises, governments, and developers were going to want access to on demand, pay as you go, IT resources in the cloud. None of us would have been able to predict that it would have matured and, um, you know become the staple that it has today over the last 15 years. But the reality is that a lot of these are enterprise customers. Many of whom have been doing their own IT infrastructure for the last 10, 20 or or multiple decades do have to kind of figure out how they deal with it. The change management of moving to the cloud, and while a lot of our customers will initially come to us because they're looking to save money or costs. Almost all of them decide to stay and go big because of the speed at which they're able to innovate on behalf of their customers. And when it comes to storage and backup, that just plays right into where they're headed and there's a variety of different techniques that customers use. Whether it be, you know, a lift and shift for a particular set of applications. Or a data center or where it, where they do very much look at how can they replace the backup and recovery that they have on premises in the cloud using solutions like what we're partnering with Commvault to do. Or completely re-imagining their architecture for net new developments that they can really move quickly for, for their customers and, and completely developing something brand new, where it is really a, um, you know a brand new replacement and innovation for, for, for what they've done in the past. >> Great. Thank you, Stephen. Ranga, I want to ask you about the D word, digital. Look, if you're not a digital business today, you're basically out of business. So my question to you Ranga is, is how have you seen customers change the way they think about data protection during what I call the forced March to digital over the last 18, 19 months? Are customers thinking about data protection differently today? >> Definitely Dave, and and thank you for having me and Stephen pleasure to join you on this CUBE interview. First, going back to Stephen's comments, can't agree more. Almost every business that we talk with today has a cloud first strategy, a cloud transmission mandate. And, you know, the reality is back to your digital comment. There are many different paths to the hybrid micro cloud. And different customers. You know, there are different parts of the journey. So as Stephen was saying, most often customers, at least from a data protection perspective. Start the conversation their thinking, hey, I have all these tapes, can I start using cloud as my air gap, long-term retention target. And before they realize they start moving their workloads into the cloud, and none of the backup and recovery facilities are going to change. So you need to continue protecting the cloud, which is where the cloud meta data protection comes in. And then they start innovating around DR Can I use cloud as my DR sites so that, you know, I don't need to meet in another site. So this is all around us, cloud transmissions, all around us. And, and the real essence of this partnership between AWS and Commvault is essentially to drive, and simplify all the paths to the cloud Regardless of whether you're going to use it as a storage target or, you know, your production data center or your DR. Disaster Recovery site. >> Yeah. So really, it's about providing that optionality for customers. I talked to a lot of customers and said, hey, our business resilience strategy was really too focused on DR. I've talked to all the customers at the other end of the spectrum said, we didn't even have a DR strategy. Now we're using the cloud for that. So it's a, it's really all over the map and you want that optionality. So Stephen, >> (Ranga cuts in) >> Go ahead, please. >> And sorry. Ransomware plays a big role in many of these considerations as well, right? Like, it's unfortunately not a question of whether you're going to be hit by ransomware. It's almost become like, what do you do when you're hit by ransomware? And the ability to use the cloud scale to immediately bring up the resources. Use the cloud backers has become a very popular choice simply because of the speed with which you can bring the business back to normal operations. The agility and the power that cloud brings to the table. >> Yeah. Ransomware is scary. You don't, you don't even need a high school degree diploma to be a ransomware-ist. You could just go on the dark web and buy ransomware as a service and do bad things. And hopefully you'll end up in jail. Stephen, we know about the success of the AWS Marketplace. You guys are partnering here. I'm interested in how that partnership, you know, kind of where it started and how it's evolving. >> Yeah. And happy to highlight on that. So look, when we, when we started AWS or when the founders of AWS started AWS, as I said, 15 years ago. We realized very early on that while we were going to be able to provide a number of tools for customers to have on demand access to compute storage, networking databases, that many particularly, enterprise and government government customers still use a wide range of tools and solutions from hundreds, if not in some cases, thousands of different partners. I mean, I talked to enterprises who who literally used thousands of of different vendors to help them deliver those solutions for their customers. So almost 10 years ago, we're almost at our 10 year anniversary for AWS Marketplace. We launched the first instantiation of AWS Marketplace, which allowed builders and customers to find, try, buy, and then deploy third-party software solutions running on Amazon Machine Instances, also known as AMI's. Natively, right in their AWS and cloud accounts to compliment what they were doing in the cloud. And over the last, nearly 10 years, we've evolved quite a bit. To the point where we support software in multiple different packaging types. Whether it be Amazon Machine Instances, containers, machine learning models, and of course, SAS and the rise of software as a service, so customers don't have to manage the software themselves. But we also support a data products through the AWS data exchange and professional services for customers who want to get services to help them integrate the software into their environments. And we now do that across a wide range of procurement options. So what used to be pay as you go Amazon Machine Instances now includes multiple different ways to contract directly. The customer can do that directly with the vendor, with their channel partner or using kind of our, our public e-commerce capabilities. And we're super excited, um, over the last couple of months, we've been partnering with Commvault to get their industry leading backup and recovery solutions listed on AWS Marketplace. Which is available for our collective customers now. So not only do they have access to Commvault's awesome solutions to help them protect against ransomware, as we talked about and, and to manage their backup and recovery environments. But they can find and deploy that directly in one click right into their AWS accounts and consolidate their, their billing relationship right on the AWS invoice. And it's been awesome to work with with Ranga and the, and the product teams at Commvault to really expose those capabilities where Commvault's using a lot of different AWS services to, to provide a really great native experience for our collective customers as they migrate to the cloud. >> Yeah. The Marketplace has been amazing. We've watched it evolve over the past decade and it's just, it's a key characteristic of cloud. Everybody has a cloud today, right? Ah, we're a cloud too, but Marketplace is unique in, in, in that it's the power of the ecosystem versus the resources of one. And Ranga, I wonder if from your perspective, if you could talk about the partnership with AWS from your view, and and specifically you've got some hard news. Would, if you could, talk about that as well. >> Absolutely. So the partnership has been extending for more than 12 years, right? So AWS and Commvault have been bringing together solutions that help customers solve the data management challenges and everything that we've been doing has been driven by the customer demand that we see, right. Customers are moving their workloads to the cloud. They are finding new ways of deploying the workloads and protecting them. You know, earlier we introduced cloud native integration with the EBS AVI's which has driven almost 70% performance improvements in backup and restore. When you look at huge customers like Coca-Cola, who have standardized on AWS and Commvault, that is the scale that they want to operate on. They manage around one through 3,000 snapshots, 1200 easy, two instances across six regions, but with just one resource dedicated for the data management strategy, right? So that's where the real built-in integration comes into play. And we've been extending it to make use of the cloud efficiencies like power management and auto-scale, and so on. Another aspect is our commitment to a radically simple customer experience. And that's, you know, I'm sure Stephen would agree. It's a big mantra at AWS as well. That's really, together, the customer demand that's brought us together to introduce combo into the AWS Marketplace, exactly the way Stephen described it. Now the hot announcement is calmer, backup and recovery is available in AWS Marketplace. So the exact four steps that Stephen mentioned: find, try, buy, and deploy everything simplified to the Marketplace so that our AWS customers can start using our more backup software in less than 20 minutes. A 60 day trial version is included in the product through Marketplace. And, you know, it's a single click buy. We use the cloud formation templates to deploy. So it becomes a super simple approach to protect the AWS workloads. And we protect a lot of them starting from EC2, RDS DynamoDB, DocumentDB, you know, the, the containers, the list just keeps going on. So it becomes a very natural extension for our customers to make it super simple, to start using Commvault data protection for the AWS workloads. >> Well, the Commvault stack is very robust. You have an extremely mature stack. I want to, I'm curious as to how this sort of came about? I mean, it had to be customer driven, I'm sure. When your customers say, hey, we're moving to the cloud, we had a lot of workloads in the cloud. We're a Commvault customer, that intersection between Commvault and AWS customer. So, so again, I presume this was customer driven, but maybe you can give us a little insight and add some color to that, Ranga. >> Every everything, you know, in this collaboration has been customer driven. We were earlier talking about the multiple paths to cloud and a very good example, and Stephen might probably add more color from his own experience at Dow Jones, but I I'll, I'll bring it to reference Parsons. Who's, you know, civil engineering leader. They started with the cloud first mandate saying, we need to start moving all our backups to the cloud, but we averted that bad actors might find it easy to go and access the backups. AWS and Commvault came together with AWS security features and Commvault brought in its own authorization controls. And now we are moved more than 14 petabytes of backup data into the cloud, and it's sort of as that, not even the backup administrators can go and patch the backups without multiple levels of authorization, right? So the customer needs, whether it is from a security perspective, performance perspective, or in this case from a simplicity perspective is really what is driving us and, and the need came exactly like that. There are many customers who have now standardized on AWS, they want to find everything related to this Marketplace. They want to use their existing, you know, the AWS contracts and also bring data strategy as part of that. So that, that's the real driver behind this. Stephen and I were hoping that we could actually announce some of the customers that have actively started using it. You know, many notable customers have been behind this innovation. And Stephen I don't know if you wanted to add more to that. >> I would just, I would just add Dave, you know, like if I look back before I joined AWS seven years ago, I was the CIO at Dow Jones. And I was leading a, a fairly big cloud migration there over a number of years. And one of the impetuses for us moving to the cloud in the first place was when Hurricane Sandy hit, we had a real disaster recovery scenario in one of our New Jersey data centers. And we had to act pretty quickly. Commvault was, was part of that solution. And I remember very clearly, even back then, back in 2013, there being options available to help us accelerate our move to the cloud. And, and just to reiterate some of the stuff that Ranga was talking about, you know, Commvault's done a great job over the last, more than a decade. Taking features from things like EBS, and S3, and TC2 and some of our networking capabilities and embedding them directly into their services so that customers are able to, you know, more quickly move their backup and recovery workloads to the cloud. So each and every one of those features was, is a result of, I'm sure, Commvault working backwards from their customer needs just as we do at AWS. And we're super excited to take that to the next level, to give customers the option to then also buy that right on their AWS invoice on AWS Marketplace. >> Yeah. I mean, we're going to have to leave it there. Stephen you've mentioned this several times, there's sort of the early days of AWS. We went back then we were talking about gigabytes and terabytes, and now we're talking about petabytes and beyond. Guys thanks so much. We really appreciate your time and sharing the news with us. >> Dave, thanks for having us. >> All right, keep it right there more from Commvault Connections 21, you're watching theCUBE.

>> Voice Over: From around the globe. It's theCUBE with digital coverage of IBM Think 2021 brought to you by IBM. >> Okay. Welcome back everyone. To theCUBE's coverage of IBM Think 2021 virtual. I'm John Furrier, host of theCUBE. We've got a great segment here on the power of hybrid cloud and AI. And I'm excited to have Rob Thomas, Senior Vice President of IBM's cloud and Data platform, CUBE alumni. Been on going back years and years talking about data. Rob, great to see you, a leader at IBM. Thanks for joining. >> John. Great to see you hope everybody is safe and well and great to be with you again. >> Yeah, love the progress, love the Hybrid Cloud distributed computing, meets operating systems, meets modern applications at the center of it is the new cloud equation. And of course data continues to be the value proposition as the platform. And as you quoted many times and I love your favorite quote. There's no AI without IA. So you got to have the architecture. So that still rings true today and it's just so evergreen and so relevant and cooler than ever with machine learning and AI operations. So let's just jump in. IBM's announced, host a new products and updates at Think. Tell us what you're most excited about and what should people pay attention to. >> Maybe I'll connect two thoughts here. There is no AI without IA, still true today. Meaning, customers that want to do AI need an information architecture. There was an IDC report just last year that said, "Despite all the progress on data, still 90% of data in organizations is either unused or underutilized." So what's amazing is after all the time we've been talking John, we're still really just getting started. Then that kind of connects to another thought, which is I still believe that AI is not going to replace managers, but managers that use AI will replace the managers that do not. And I'd say that's the backdrop for all the announcements that we're doing this week. It's things like auto SQL. How do you actually automate the creation of SQL queries in a large distributed data warehouse? It's never been done before, now we're doing it. It's things like Watson Orchestrate which is super powers in the hands of any business user, just to ask for something to get done. Just ask for a task to get completed. Watson Orchestrator will do that for you. It's maximo mobile. So anybody working in the field now has access to an AI system on their device for how they're managing their assets. So this is all about empowering people and users that use these products are going to have an advantage over the users that are not, that's what I'm really excited about. >> So one of the things that's coming out as Cloud Pak for Data, AI powered automation these are kind of two that you kind of touched upon the SQL thing their. Cloud Pak is there, you got it for Data and this automation trend. What is that about? Why is it important? Can you share with us the relevance of those two things? >> Let's talk broadly about automation. There's two huge markets here. There's the market for RPA business process, $30 billion market. There's the market for AIOps, which is growing 22%, that's on its way to $40 billion. These are enormous markets. Probably the biggest bet IBM has made in the last year is in automation. Explicitly in Watson AIOps. Last June in Think we announced Watson AIOps, then we did the acquisition of Instana, then we announced our intent to acquire Turbonomic. At this point, we're the only company that has all the pieces for automating how you run your IT systems. That's what I mean when I say AIOps. So really pleased with the progress that we've made there. But again, we're just getting started. >> Yeah. Congratulations on the Turbonomic. I was just commenting on that when that announced. IBM buying into the Cloud and the Hybrid cloud is interesting because the shift has happened. It's Public Cloud, it's on premises as Edge. Those two things as a system, it's more important ever than the modernization of the apps that you guys are talking about and having the under the cover capabilities. So as Cloud and Data merge, this kind of control plane concept, this architecture, as you'd said IA. You can't have AI without IA. What is that architecture look like? Can you break down the elements of what's involved? I know there's predictive analytics, there's automation and security. What are the pillars of this architecture? What are the four concepts? If you can explain that. >> Yeah, let's start with the basics. So Hybrid Cloud is about you build your software runs once and you run it anywhere you want, any public cloud,any private cloud. That assumes containers are important to the future of software. We are a hundred percent convinced that is true. OpenShift is the platform that we build on and that many software companies in the world are now building on because it gives you portability for your applications. So then you start to think about if you have that common fabric for Hybrid Cloud, how do you deliver value to customers in addition to the platform? To me, that's four big things. It's automation, we talked about that. It's security, it's predictions. How do you actually make predictions on your data? And then it's modernization. Meaning, how do you actually help customers modernize their applications and get to the Cloud? So those are the things we always talk about, automate, secure, modernize, predict. I think those are the four most important things for every company that's thinking about Cloud and AI. >> Yeah, it's interesting. I love the security side is one of the big conversations in AIOps and day two operations or whatever it's called is shifting left, getting security into the Cloud native kind of development pipeline. But speaking of secure, you have a customer that was talking about this Dow Chemical. About IB empowering Dow zero trust architecture. Could you explain that deal and how that's working? Because that's again, huge enterprise customer, very big scale at scale, zero trust is big, part of it. What is this? >> Let's start with the basics. So what is zero trust mean? It means to have a secure business, you have to start with the assumption that nothing can be trusted. That means you have to think about all aspects of your security practice. How do you align on a security strategy? How do you protect your data assets? How do you manage security threats? So we always talk about a line, protect, manage back to modernize, which is how do you bring all your systems forward to do this? That's exactly what we're doing with the Dow as you heard in that session, which is they've kind of done that whole journey from how they built a security strategy that was designed with zero trust in mind, they're protecting data assets, they're managing cyber threats in real time with a relatively low number of false positives which are the issue that most companies have. They're a tremendous example of a company that jumped on this and has had a really big impact. And they've done it without interfering with their business operations, meaning anybody can lock everything down but then you can't really run your business if you're doing that. They've done it, I think in a really intelligent way. >> That's awesome. We always talk about the big waves. You always give great color commentary on the trends. Right now though, the tsunami seems to be a confluence of many things coming together. What are some of the big trends in waves you're seeing now specifically on the tech side, on the technology side, as well as the business side right now? 'Cause coming out of post COVID, it's pretty clear cloud-native is powering a new growth strategy for customers. Dow was one of them, you just commented on it but there's a bigger wave happening here, both on the tech theater and in the business theater. Can you share your views on and your opinions and envision on these trends? >> I think there's three profound trends that are actually pretty simple to understand. One is, technology is going to decentralize again. We've always gone from centralized architectures to decentralized. Mainframe was centralized, internet mobile decentralized. The first version of public cloud was centralized, meaning bringing everything to one place. Technology is decentralized and again, with Hybrid Cloud, with Edge, pretty straight forward I think that's a trend that we can ride and lead for the next decade. Next is around automation that we talked about. There was a McKinsey report that said, "120 billion hours a year are going to be automated with things like Watson Orchestrator, Watson AIOps." What we're doing around Cloud Pak for automation, we think that time is now. We think you can start to automate in your business today and you may have seen the--example where we're doing customer care and they're now automating 70% of their inbound customer inquiries. It's really amazing. And then the third is around data. The classical problem, I mentioned 90% is still unused or underutilized. This trend on data is not about to slow down because the data being collected is still multiplying 10 X every year and companies have to find a way to organize that data as they collected. So that's going to be a trend that continues. >> You know, I just kind of pinched myself sometimes and hearing you talk with some of our earlier conversations in theCUBE, people who have been on this data mindset have really been successful because it's evolving and growing and it's changing and it's adding more input into the system and the technology is getting better. There's more cloud scales. You mentioned automation and scale are huge. And I think this really kind of wakes everyone up. And certainly the pandemic has woken everyone up to the fact that this is driving new experiences for users and businesses, right? So this is, and then those experiences become expectations. This is the classic UX paradigm that grows from new things. So I got to ask you, with the pandemic what is the been the most compelling ways you seen people operate, create new expectations? Because new things are coming, new big things, and new incremental things are happening. So evolution and revolutionary capabilities. Can you share some examples and your thoughts? >> We've collected a decent bit of data on this. And what's interesting is how much AI has accelerated since the pandemic started. And it's really in five areas, it's customer care that we talked about, virtual agents, customer service, how you do that. It's employee experience. So somewhere to customer care but how do you take care of your employees using AI? Third is around AIOps, we talked about that. Fourth is around regulatory compliance and fifth is around financial planning and budgeting. These are the five major use cases of AI that are getting into production in companies over the last year that's going to continue to accelerate. So I think it's actually fairly clarifying now that we really understand these are the five big things. I encourage anybody watching, pick one of these, get started, then pick the second, then pick the third. If you are not doing all five of these, 12, 18, 24 months from now, you are going to be behind. >> So give us an example of some things that have surprised you in the pandemic and things that blew you away. Like, wow, I didn't see that coming. Can you share on things that you've seen evolve? Cause you're a year ahead of the business units of Cloud and Data, big part of IBM and you see customer examples. Just quickly share some notable use cases or just anecdotal examples of just things that jumped out at you that said, "Wow, that's going to be a double-down moment or that's not going to be anymore." Exposes, the pandemic exposes the good, bad and the ugly. I mean, people got caught off guard, some got a tailwind, some had a headwind, some are retooling. What's your thoughts on what you can you share any examples? >> Like everybody, many things have surprised me in the last year. I am encouraged at how fast many companies were able to adjust and adapt for this world. So that's a credit to all the resiliency that they built into their processes, their systems and their people over time. Related to that, the thing that really sticks out to me again, is this idea of using AI to serve your customers and to serve your employees. We had a hundred customers that went live with one of those two use cases in the first 35 days of the pandemic. Just think about that acceleration. I think without the pandemic, for those hundred it might've taken three years and it happened in 35 days. It's proof that the technology today is so powerful. Sometimes it just takes the initiative to get started and to do something. And all those companies have really benefited from this. So it's great to see. >> Great. Rob, great to have you on. Great to have your commentary on theCUBE. Could you just quickly share in 30 seconds, what is the most important thing people should pay attention to and Think this year from your perspective? What's the big aha moment that you think they could walk away with? >> We have intentionally made this a very technology centric event. Just go look at the demos, play with the technology. I think you will be impressed and start to see, let's say a bit of a new IBM in terms of how we're making technology accessible and easy for anybody to use. >> All right. Rob Thomas, Senior Vice President of IBM cloud and Data platform. Great to have you on and looking forward to seeing more of you this year and hopefully in person. Thanks for coming on theCUBE virtual. >> Thanks, John. >> Okay. I'm John Furrier with theCUBE. Keep coverage of IBM Think 2021. Thank you for watching. (soft music)

(soft music) >> Voice Over: From around the globe. It's theCUBE with digital coverage of IBM Think 2021 brought to you by IBM. >> Okay. Welcome back everyone. To theCUBE's coverage of IBM Think 2021 virtual. I'm John Furrier, host of theCUBE. We've got a great segment here on the power of hybrid cloud and AI. And I'm excited to have Rob Thomas, Senior Vice President of IBM's cloud and Data platform, CUBE alumni. Been on going back years and years talking about data. Rob, great to see you, a leader at IBM. Thanks for joining. >> John. Great to see you hope everybody is safe and well and great to be with you again. >> Yeah, love the progress, love the Hybrid Cloud distributed computing, meets operating systems, meets modern applications at the center of it is the new cloud equation. And of course data continues to be the value proposition as the platform. And as you quoted many times and I love your favorite quote. There's no AI without IA. So you got to have the architecture. So that still rings true today and it's just so evergreen and so relevant and cooler than ever with machine learning and AI operations. So let's just jump in. IBM's announced, host a new products and updates at Think. Tell us what you're most excited about and what should people pay attention to. >> Maybe I'll connect two thoughts here. There is no AI without IA, still true today. Meaning, customers that want to do AI need an information architecture. There was an IDC report just last year that said, "Despite all the progress on data, still 90% of data in organizations is either unused or underutilized." So what's amazing is after all the time we've been talking John, we're still really just getting started. Then that kind of connects to another thought, which is I still believe that AI is not going to replace managers, but managers that use AI will replace the managers that do not. And I'd say that's the backdrop for all the announcements that we're doing this week. It's things like auto SQL. How do you actually automate the creation of SQL queries in a large distributed data warehouse? It's never been done before, now we're doing it. It's things like Watson Orchestrate which is super powers in the hands of any business user, just to ask for something to get done. Just ask for a task to get completed. Watson Orchestrator will do that for you. It's Maximo Mbo. So anybody working in the field now has access to an AI system on their device for how they're managing their assets. So this is all about empowering people and users that use these products are going to have an advantage over the users that are not, that's what I'm really excited about. >> So one of the things that's coming out as Cloud Pak for Data, AI powered automation these are kind of two that you kind of touched upon the SQL thing their. Cloud Pak is there, you got it for Data and this automation trend. What is that about? Why is it important? Can you share with us the relevance of those two things? >> Let's talk broadly about automation. There's two huge markets here. There's the market for RPA business process, $30 billion market. There's the market for AIOps, which is growing 22%, that's on its way to $40 billion. These are enormous markets. Probably the biggest bet IBM has made in the last year is in automation. Explicitly in Watson AIOps. Last June in Think we announced Watson AIOps, then we did the acquisition of Instana, then we announced our intent to acquire Turbonomic. At this point, we're the only company that has all the pieces for automating how you run your IT systems. That's what I mean when I say AIOps. So really pleased with the progress that we've made there. But again, we're just getting started. >> Yeah. Congratulations on the Turbonomic. I was just commenting on that when that announced. IBM buying into the Cloud and the Hybrid cloud is interesting because the shift has happened. It's Public Cloud, it's on premises as Edge. Those two things as a system, it's more important ever than the modernization of the apps that you guys are talking about and having the under the cover capabilities. So as Cloud and Data merge, this kind of control plane concept, this architecture, as you'd said IA. You can't have AI without IA. What is that architecture look like? Can you break down the elements of what's involved? I know there's predictive analytics, there's automation and security. What are the pillars of this architecture? What are the four concepts? If you can explain that. >> Yeah, let's start with the basics. So Hybrid Cloud is about you build your software runs once and you run it anywhere you want, any public cloud,any private cloud. That assumes containers are important to the future of software. We are a hundred percent convinced that is true. OpenShift is the platform that we build on and that many software companies in the world are now building on because it gives you portability for your applications. So then you start to think about if you have that common fabric for Hybrid Cloud, how do you deliver value to customers in addition to the platform? To me, that's four big things. It's automation, we talked about that. It's security, it's predictions. How do you actually make predictions on your data? And then it's modernization. Meaning, how do you actually help customers modernize their applications and get to the Cloud? So those are the things we always talk about, automate, secure, modernize, predict. I think those are the four most important things for every company that's thinking about Cloud and AI. >> Yeah, it's interesting. I love the security side is one of the big conversations in AIOps and day two operations or whatever it's called is shifting left, getting security into the Cloud native kind of development pipeline. But speaking of secure, you have a customer that was talking about this Dow Chemical. About IB empowering Dow zero trust architecture. Could you explain that deal and how that's working? Because that's again, huge enterprise customer, very big scale at scale, zero trust is big, part of it. What is this? >> Let's start with the basics. So what is zero trust mean? It means to have a secure business, you have to start with the assumption that nothing can be trusted. That means you have to think about all aspects of your security practice. How do you align on a security strategy? How do you protect your data assets? How do you manage security threats? So we always talk about a line, protect, manage back to modernize, which is how do you bring all your systems forward to do this? That's exactly what we're doing with the Dow as you heard in that session, which is they've kind of done that whole journey from how they built a security strategy that was designed with zero trust in mind, they're protecting data assets, they're managing cyber threats in real time with a relatively low number of false positives which are the issue that most companies have. They're a tremendous example of a company that jumped on this and has had a really big impact. And they've done it without interfering with their business operations, meaning anybody can lock everything down but then you can't really run your business if you're doing that. They've done it, I think in a really intelligent way. >> That's awesome. We always talk about the big waves. You always give great color commentary on the trends. Right now though, the tsunami seems to be a confluence of many things coming together. What are some of the big trends in waves you're seeing now specifically on the tech side, on the technology side, as well as the business side right now? 'Cause coming out of post COVID, it's pretty clear cloud-native is powering a new growth strategy for customers. Dow was one of them, you just commented on it but there's a bigger wave happening here, both on the tech theater and in the business theater. Can you share your views on and your opinions and envision on these trends? >> I think there's three profound trends that are actually pretty simple to understand. One is, technology is going to decentralize again. We've always gone from centralized architectures to decentralized. Mainframe was centralized, internet mobile decentralized. The first version of public cloud was centralized, meaning bringing everything to one place. Technology is decentralized and again, with Hybrid Cloud, with Edge, pretty straight forward I think that's a trend that we can ride and lead for the next decade. Next is around automation that we talked about. There was a McKinsey report that said, "120 billion hours a year are going to be automated with things like Watson Orchestrator, Watson AIOps." What we're doing around Cloud Pak for automation, we think that time is now. We think you can start to automate in your business today and you may have seen the C QVS example where we're doing customer care and they're now automating 70% of their inbound customer inquiries. It's really amazing. And then the third is around data. The classical problem, I mentioned 90% is still unused or underutilized. This trend on data is not about the slow down because the data being collected is still multiplying 10 X every year and companies have to find a way to organize that data as they collected. So that's going to be a trend that continues. >> You know, I just kind of pinched myself sometimes and hearing you talk with some of our earlier conversations in theCUBE, people who have been on this data mindset have really been successful because it's evolving and growing and it's changing and it's adding more input into the system and the technology is getting better. There's more cloud scales. You mentioned automation and scale are huge. And I think this really kind of wakes everyone up. And certainly the pandemic has woken everyone up to the fact that this is driving new experiences for users and businesses, right? So this is, and then those experiences become expectations. This is the classic UX paradigm that grows from new things. So I got to ask you, with the pandemic what is the been the most compelling ways you seen people operate, create new expectations? Because new things are coming, new big things, and new incremental things are happening. So evolution and revolutionary capabilities. Can you share some examples and your thoughts? >> We've collected a decent bit of data on this. And what's interesting is how much AI has accelerated since the pandemic started. And it's really in five areas, it's customer care that we talked about, virtual agents, customer service, how you do that. It's employee experience. So somewhere to customer care but how do you take care of your employees using AI? Third is around AIOps, we talked about that. Fourth is around regulatory compliance and fifth is around financial planning and budgeting. These are the five major use cases of AI that are getting into production in companies over the last year that's going to continue to accelerate. So I think it's actually fairly clarifying now that we really understand these are the five big things. I encourage anybody watching, pick one of these, get started, then pick the second, then pick the third. If you are not doing all five of these, 12, 18, 24 months from now, you are going to be behind. >> So give us an example of some things that have surprised you in the pandemic and things that blew you away. Like, wow, I didn't see that coming. Can you share on things that you've seen evolve? Cause you're a year ahead of the business units of Cloud and Data, big part of IBM and you see customer examples. Just quickly share some notable use cases or just anecdotal examples of just things that jumped out at you that said, "Wow, that's going to be a double-down moment or that's not going to be anymore." Exposes, the pandemic exposes the good, bad and the ugly. I mean, people got caught off guard, some got a tailwind, some had a headwind, some are retooling. What's your thoughts on what you can you share any examples? >> Like everybody, many things have surprised me in the last year. I am encouraged at how fast many companies were able to adjust and adapt for this world. So that's a credit to all the resiliency that they built into their processes, their systems and their people over time. Related to that, the thing that really sticks out to me again, is this idea of using AI to serve your customers and to serve your employees. We had a hundred customers that went live with one of those two use cases in the first 35 days of the pandemic. Just think about that acceleration. I think without the pandemic, for those hundred it might've taken three years and it happened in 35 days. It's proof that the technology today is so powerful. Sometimes it just takes the initiative to get started and to do something. And all those companies have really benefited from this. So it's great to see. >> Great. Rob, great to have you on. Great to have your commentary on theCUBE. Could you just quickly share in 30 seconds, what is the most important thing people should pay attention to and Think this year from your perspective? What's the big aha moment that you think they could walk away with? >> We have intentionally made this a very technology centric event. Just go look at the demos, play with the technology. I think you will be impressed and start to see, let's say a bit of a new IBM in terms of how we're making technology accessible and easy for anybody to use. >> All right. Rob Thomas, Senior Vice President of IBM cloud and Data platform. Great to have you on and looking forward to seeing more of you this year and hopefully in person. Thanks for coming on theCUBE virtual. >> Thanks, John. >> Okay. I'm John Furrier with theCUBE. Keep coverage of IBM Think 2021. Thank you for watching. (soft music)

(thoughtful electronic music) >> From theCUBE studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR, this is Breaking Analysis with Dave Vellante. >> Enterprise applications are an enormous market, and they're enormously important to organizations globally. Essentially, the world's businesses are running on enterprise applications. Companies' processes are wired into these systems, and the investments that they make in people, process, and technology are vital to these companies' success. But it's complicated because many of these systems are decades old. Markets have changed, but the ERP system for example fundamentally hasn't. Hello everyone, and welcome to this week's Wikibon CUBE Insights, powered by ETR. This week, we're going to do a data download on the enterprise software space, and put forth some themes in our thesis around this very important segment. I'd like to do a shout-out to my friend Sarbjeet Johal, who helped me frame this segment, and he's a strategic thinker and he shared some excellent insights for this episode. What I'd first like to do is let's lay out the scope of what we're going to talk about today. So we're going to focus on the core enterprise apps that companies rely on to run their businesses. Talkin' about the systems of record here, the ERP, the financial systems, HR, CRMs, service management we'll put in there. We may touch on some of the other areas, but this is core that we're going to drill into. This is a big, big market. Customers spend many hundreds of billions of dollars in this area, you could argue about a half a trillion. And it's a mature market, as you'll see from the data. Look, it's good to be in the technology business today. This business is doing better than most, and within the technology business, it's better to be in software because of the economics and scale. And if you have a SaaS cloud model, it's even better. But the market, it is fragmented, not nearly as much as it used to be, but there are many specialized areas where leaders have emerged. ServiceNow and ITSM or Workday and HCM are good examples of companies that've specialized and then exploded, first as we saw ServiceNow blow past Workday's valuation. It was nearly 2x at one point. Now, that was before Workday crushed its earnings this week. It's up 15% today. ServiceNow took a slight breather earlier this month, but it's up on Workday sympathy today. Salesforce also beat earnings, and of course replaced Exxon Mobile on the DOW Industrials, can you imagine that? But let's bring it back to this digital transformation that you hear about. This is the big cliche from all the tech companies and especially software players. Now a lot of this DX, I sometimes call it, is related to old systems. It's especially true for the mega-caps like Oracle, SAP, PeopleSoft, JD Edwards, and even Microsoft. Take ERP and some of the mature products for example, like Oracle R12, or SAP R3 or R4. Many of these systems were put in place 15 years ago, and yeah, they're going to need to transform. They are burnt in. They were installed in what, 2005? It was before the iPhone, before social media, before machine learning and AI made its big comeback, and before cloud. These systems were built on the 1.0 of cloud. The businesses have changed but the software really hasn't. It happens every 10 to 15 years, companies have to upgrade or re-implement their systems, and optimize for the way business now runs, because they had to be more competitive and more agile. They can't do it on their old software. And God help you if you made a bunch of custom modifications. Good lucking tryin' to rip those out. And this is why pure play companies in the cloud like ServiceNow and Workday have done so well. They're best-of-breed and they're cloud, and it sets up this age-old battle that we always talk about, best-of-breed versus integrated suites. So let's bring in some of the other themes and feedback that we get from the community. Now we've definitely seen this schism play out between on-prem and cloud plays. And that's created some challenges for the legacy players. People working remotely has meant less data center, less on-prem action for the legacy companies. Now, they have gone out and acquired to get to the cloud and/or they've had to rearchitect their software like Oracle has done with Fusion. But think about something like Oracle Financials. Oracle is tryna migrate them to Fusion, or think about SAP R3, with R4, SAP pushing HANA. All this is going to cloud-based SaaS. So the companies that've been pure play SaaS are doing better, and I say quasi-modern on this slide because Salesforce, ServiceNow, Workday, even Coupa, NetSuite which is now Oracle, SuccessFactors which SAP purchased, et cetera, these are actually pretty old companies, the earlier part of the 2000s or in the case of Salesforce, 1999. And you're seeing some really different pricing models in the market. Things are moving quickly to an OPEX model. You have the legacy perpetual pricing, and it's giving way to subscriptions, and now we even see companies like Datadog and Snowflake with so-called consumption-based pricing models, priced as a true cloud. And we think that that's going to eventually spill into the core SaaS applications. Now one of the concerns that we've heard from the community is that some of the traditional players that were able to hide from COVID earlier this year might not have enough deferred revenue dry powder to continue to power through the pandemic, but so far the picture continues to look pretty strong for the software companies. We'll get into some of that. Now, finally, this is a premise that I talked to Sarbjeet about, the disruption perhaps comes from cloud and developer ecosystems. Y'know I remember John Furrier and I had a conversation awhile back with Jerry Chen from Greylock. It was on theCUBE, and it was kind of like, went like this. People were talking about whether AWS was going to enter the applications market, and the thesis here is no, or not in the near future. Rather, the disruptive play, and this is really Sarbjeet's premise, is to provide infrastructure for innovation, and a PaaS layer for differentiation, and developers will build modern cloud-native apps to compete with the SaaS players on top of this. This is intriguing to me, and is likely going to play out over the next decade, but it's going to take a while, because these SaaS players are, they're very large, and they continue to pour money into their platforms. Now let's talk about the shift from CAPEX to OPEX and bring in some ETR data. Of course, this was well in play pre-COVID, but the trend has been accelerating. This chart shows data from the August ETR survey, and it was asking people to express their split between CAPEX and OPEX spend, and as you can see, the trend is clear. Goes from 48% last year, 55% today, and moving to over 62% OPEX a year from now. It's no surprise, but I think it could happen even faster depending on the technical debt that organizations have to shed. And hence, the attractiveness again of the SaaS cloud players. So now let's visualize some of the major players in this space, and do some comparisons. Here we show one of our favorite views, and what we're doing here is we juxtapose net score on the vertical axis with market share on the horizontal plane. Remember, net score is a measure of spending momentum. Each quarter, ETR asks buyers, are you planning to spend more or less, and they essentially subtract the lesses from the mores to derive net score. Market share on the other hand is a measure of pervasiveness in the dataset, and it's derived from the number of mentions in the sector divided by the total mentions in the survey, and you can see each metric in that embedded table that we put in there. So I said earlier, this was a pretty mature market and you can see that in the table. Eh, kind of middle-of-the-road net scores with pretty large shared ends, i.e. responses in the dataset, but a lot of red. There are some standouts, however, as you see in the upper right, namely, ServiceNow and Salesforce. These are two pretty remarkable companies. ServiceNow entered the market as a help desk or service management player, and has dramatically expanded its TAM, really to the point where they're aiming at $5 billion in revenue. Salesforce was the first in cloud CRM, and is pushing 20 billion in revenue. I've said many times, these companies are on a collision course, and I stand by that, as any of the next great software companies, and these are two, are going to compete with all the mega-caps, including Oracle, SAP, and Microsoft, and they'll bump into each other. Which brings us to those super-cap companies. You see Microsoft with Dynamics, they show up like they always do. I'm like a broken record on Microsoft. I mean they're everywhere in the survey data. Now Oracle and SAP, they've been extremely acquisitive over the years, and you can see some of their acquisitions on this chart. I've said many times in theCUBE that Larry Olsen used to denigrate his competitors for writing checks instead of code, but he saw the consolidation trend happening in the ERT, ERP space before anyone else did, and with the $10 billion PeopleSoft acquisition in 2005, set off a trend in enterprise software that did a few things. First, it solidified Oracle's position further up the stack. It also set Dave Duffield and Aneel Bhusri off to create a next-generation cloud software company, Workday, which you can see in the chart has a net score up there with ServiceNow, Salesforce, and Coupa, and it also led to Oracle Fusion Middleware, which is designed as an integration point for all these software components, and this is really important because Oracle is moving everything into its cloud. And you can see that its on-prem net score, which puts it deep into negative territory. Now SAP, take a look at them, they have much higher net scores than Oracle, and you can see it's acquired SaaS properties like Ariba, Concur, and SuccessFactors, which have decent momentum. But you know, SAP, and we've talked about this before, is not without its challenges. With SAP, HANA is the answer to all of its problems. The problem is that it's not necessarily the answer to all of SAP's customers' problems. Most of SAP's legacy customers run SAP on Oracle or other databases. HANA is used for the in-memory query workload, but most customers are going to continue to use other databases for their systems of record. So this adds complexity. But HANA is very good at the query piece. However, SAP never did what Oracle did with Fusion, which as you might recall, took more than a decade to get right. HANA is SAP's architectural attempt to unify the SAP portfolio and get, (laughs) really get off of Oracle, but it's many years away, and it's unclear when or if they'll ever get there. All right, let's move on. Here's a look at a similar set of companies, but I wanted to show you this view because it gives you a detailed look at ETR's net score approach, and it tells us a few things more. And remember, this is a survey of almost 1,200 technology buyers. That's the N, that's the respondent rate. So this chart shows the net score granularity for the enterprise players that we were just discussing. Let me explain this. Net score is actually more detailed than what I said before. It comprises responses in four categories. The lime green is new adoptions. The forest green is growth in spending of 6% or more, the gray is flat spend, the pink is a budget shrink of 6% or greater, and the red is retiring the platform. So what this tells us is that there's a big fat middle of stay the same. The lime green is pretty small, but you can see, NetSuite jumps out for new adoptions because they've been very aggressive going after smaller and mid-sized companies, and Coupa, the spend management specialist, shows reasonably strong new adoptions. Now ServiceNow is interesting to me. Not a ton of new adoptions. They've landed the ship and really penetrated larger organizations. And while new adoptions are not off the charts, look at the spending more categories, it's very very strong at 46%. And the other really positive thing for ServiceNow is there's very little red. This company is a beast. Now Salesforce similarly, not tons of new adoptions, but 40% spend more. For a company that size, that's pretty impressive. Workday similarly has a very strong spending profile. At the bottom of the chart, you see a fair amount of red, as we saw on the XY graph. But now, let's take another view of net score. Think of this as a zoom in, which takes those bar charts but shows it in a pie format for individual companies. So we're showing this here for ServiceNow, Workday, and Salesforce, and we've superimposed the net score for these three in green, so you can see ServiceNow at 48%, very good for a company headed toward five billion. Same with Workday, 40% for a company of similar size, and Salesforce has a comparable net score, and is significantly larger than those two revenue-wise. Now this is the same view, this next chart's the same view for SAP and Oracle, and you can see substantially lower than the momentum leaders in terms of net score. But these are much larger companies. SAP's about 33 billion, Oracle's closer to 40 billion. But Oracle especially has seen some headwinds from organizations spending less which drags its net score down. But you're not seeing a lot of replacement in Oracle's base because as I said at the top, these systems are fossilized and many are running on Oracle. And the vast majority of mission-critical workloads are especially running on Oracle. Now remember, this isn't a revenue-weighted view. Oracle charges a steep premium based on the number of cores, and it has a big maintenance stream. So while its net score is kind of sucky, its cashflow is not. All right, let's wrap it up here. We have a very large and mature market. But the semi-modern SaaS players like Salesforce and ServiceNow and Workday, they've gone well beyond escape velocity and solidified their positions as great software companies. Others are trying to follow that suit and compete with the biggest of the bigs, i.e. SAP and Oracle. Now I didn't talk much about Microsoft, but as always they show up prominently. They're huge and they're everywhere in this dataset. What I think is interesting is the competitive dynamics that we talked about earlier. These kind of newer SaaS leaders, they're disrupting Oracle and SAP, but they're also increasingly bumping into each other. You know, ServiceNow has HR for example, and they say that they don't compete with Workday, and that's true. But y'know, these two companies, they eye each other and they angle for account control. Same thing with Salesforce. It's that software mindset. The bigger a software company gets, the more they think they can own the world, because it's software, and if you're good at writing code and you see an opportunity that can add value for your customers, you tend to go after it. Now, we didn't talk much about M&A, but that's going to continue here, especially as these companies look for TAM expansion and opportunities to bring in new capabilities, particularly around data, analytics, machine learning, AI and the like, and don't forget industry specialization. You've seen Oracle pick up a number of industry plays and as digital transformation continues, you'll see more crossing of the industry streams because it's data. Now, the disruption isn't blatantly obvious in this market right now, other than SaaS clouds going after SAP and Oracle, and it's because these companies are deeply entrenched in their customer organizations and change is risky. But the cloud developer, the open source API trend, it could lead to disruptions, but I wouldn't expect that until the second half of this decade as cloud ecosystems really begin to evolve and take hold. Okay, well that's it for today. Remember, these Breaking Analysis episodes, they're all available as podcasts wherever you listen so please subscribe. I publish weekly on Wikibon.com and SiliconANGLE.com, so check that out, and please do comment on my LinkedIn posts. Don't forget, check out ETR.plus for all the survey action. Get in touch on Twitter, I'm @dvellante, or email me at David.Vellante@siliconangle.com. This is Dave Vellante for theCUBE Insights, powered by ETR. Thanks for watching everybody. Be well, and we'll see you next time. (thoughtful electronic music)

>> From The Cube studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a Cube Conversation. >> The isolation economy has created substantial momentum for certain cybersecurity companies, notably, as of the big stock market sell off on June 11th, relative to our last cyber report, which we did in February, the S and P 500, and the NASDAQ are off 11% and 3% respectively. But the valuations of three companies that we cited as four-star firms in our February cyber report are up significantly. In particular, Okta's valuation is up 34% since our last look in February. CrowdStrike, almost 50%, and Zscaler over 60%. Yet several other companies that were named as four-star players have really either tracked the S and P or even performed more poorly, despite still showing decent strength and spending momentum based on survey data from ETR. Welcome, everybody, to this week's Wickibon Cube Insights powered by ETR. My name is Dave Vellante and in this breaking analysis, we want to update you on our cybersecurity outlook and try to answer several questions, such as what has changed in the cybersecurity landscape. since our last report. Much has, as you know, Has the isolation economy created a permanent shift in security spend, or are these upticks just anomalies? What can we learn from the ETR spending data, and is the divergence and valuations amongst security leaders justified? Let's start by taking a look at what has changed since our last cyber report. Now, we produce this just ahead of the RSA conference in February, and one of the last physical conferences. So there's some big changes going on in the market. We really want to understand, are they systematic? In other words, are there fundamental changes to the system and its underlying principles, and by many accounts, the answer appears to be yes. Recently I listened in to a number of CSOs. of it was a call with ETR's Eric Bradley. And we heard the executives echo some of the themes that we've been discussing previously. It was notion of the work-from-home pivot, creating a focus on things like zero trust networks, changes in identity and access management, and way more focus on cloud, and of course, as a service, really reducing reliance on traditional firewalls and appliances that would reside in organizations' data centers. You know, we've gone from a world where digital transformation was an important strategic initiative to one where if you weren't digital, you largely couldn't transact business. Now, people are, the question they have is that is the longterm viability of VPNs makes sense? And even things like SD-WAN are being called into question, as corporate offices are empty and the internet is becoming the new private network. Now, one thing that hasn't changed is there are still a lot of technologies in this space. And that seems to be continuing as buyers need solutions to problems quickly to plug holes, and on balance IT budgets, they are contracting, so most companies still have to justify security spending based on the amount of risk reduction versus the cost. Of course, it's easier to justify for securing remote workers. So what I want to do now is take a pause and let's look back at some of the ETR data that we shared back in February. Now remember, this data is from the January ETR survey, ETR surveys organizations once every quarter. And if you recall, we keyed on two key metrics, some of our favorite metrics. Net Score, which is a measure of spending momentum, and Market Share, which measures pervasive per, sorry, pervasiveness in the dataset. Now, as you might recall, the left most chart here shows the cyber players and we sorted them by Net Score. The right hand side, that sorts those companies on Shared N, which measures the number of mentions of that company within the cybersecurity sector. Now, at the time, we named several four-star companies, actually we started this last year when we initiated coverage in the security space. These four-star security firms, really based on their rankings within both of those metrics, Net Score and Shared N. So you could see the four stars, Microsoft, Splunk, Palo Alto Networks, Proofpoint, Okta, CrowdStrike, and we added Zscaler as new, and then CyberArk. And we gave Cisco and Fortinet two stars, as they were kind of on the cusp. Now let's look at some of these companies from the April survey that ETR did. So this chart shows a subset of the vendors that we showed before. Now remember, this survey was taken at the height of the lockdown, from kind of early part of March to the early part of April. Budgets were under immense pressure. Nonetheless, look at Microsoft, Cisco, Palo Alto, Fortinet, and Zscaler all held up pretty evenly. CrowdStrike also held steadily and maintain a very high level. Okta dipped somewhat, but from a pretty high level as well. Only Proofpoint is one of the ones that showed decline notably from 48% to a 40% Net Score relative to the chart I showed earlier. Now, SailPoint didn't make the four-star cut because it doesn't have the presence in the dataset, but it's Net Score is solid, and the Shared N jumped from 66 last survey to 88 in the latest checkpoint. So this identity and access management player, it seems to be one to watch. We'll come back to that in future episodes. Now let's plot some of these players in context, you know, using this two-dimensional axis that we often show. This chart shows that that view that we like to share. It plots Net Score, or spending velocity, on the Y axis, and then market share on the X axis. Remember, our market share is calculated by dividing the number of mentions for a company by the total number of mentions within that sector. So it's not like true IDC market share, it's market share within the survey. So you can see here a continued theme of Microsoft momentum, very high Net Score, or high Net Score and big presence. We plotted IBM and Dell EMC, which is really the legacy RSA business, just for context. And these are two companies with strong security brands, but as you can see, they're really not the giants that they used to be in cybersecurity software. So a couple of points on this graphic. CrowdStrike really jumps out as the momentum play on this chart. And that's really no surprise given its focus on endpoint security and the pivot to work-from-home. Okta has a focus on cloud-based identity management and they continue to show very strong. And CyberArk, with a focus on privileged access is also very important in this remote worker environment. We'll talk about that some more later. And you can see Zscaler, quite strong and steady from the last survey, but that company saw some of the biggest action in the stock market, which we're going to try to explain in a moment. Proofpoint, we talked about a deceleration in Net Score, but they're right in the mix as is Fortinet. Now finally, Palo Alto, you know, they remain strong. And Cisco, like many of its businesses, very credible with a Net Score that's decent and a large market presence as always. Now, as we've reported, security is one of the brightest spots in that Cisco portfolio. So the big takeaway from the ETR data is that despite the pandemic, cybersecurity software has held up very well from a spending standpoint. But now let's look a little bit deeper into what's happening in the stock market with these firms. And first as we know, there's a clear disconnect between what's happening in financial markets and the fundamentals of the economy. You know, Wall Street versus Main Street is kind of that narrative. And within the security sector, there's also a dissonance between companies, and we want to discuss that next. Here's an updated chart that we showed in February from our last cybersecurity episode. It compares the performance of the S and P 500 and the NASDAQ as of February 19th, with the performance of four-star cyber players from that date to Thursday, June 11th, the day that saw an 1800 point drop in the Dow. So some of the steam has been let out of the market, but the story really isn't going to change that much. First, the S and P is off 11% since that time, but the NAS is only off of 3%, tech heavy. But look at the deltas of our four-star companies. Let me start with Splunk. I didn't show Splunk earlier on the charts, but the value metrics of Splunk, they really haven't moved much since our February report. Splunk's Net Score was down somewhat in the sector, but remember, Splunk does more than just security. It's really becoming a critical big data player in analytics. I think people maybe don't like the tepid 2% revenue growth that Splunk showed, but remember Splunk is transitioning to an ARR model, an annual recurring revenue model, and that's going to take some time. It acquired SignalFx late last year to give it a stronger SaaS play in monitoring, and of course the analytics. I like Splunk, just like Adobe and Tableau had to make a similar transition, and ultimately they powered through it because they're great companies with really loyal customers, and I think that really does apply to Splunk. Let's take a look now at Palo Alto Networks and Fortinet. Now, you might remember in our last security update, we spent a fair amount of time explaining the valuation divergence between Palo Alto and Fortinet due to some of the cloud challenges that Palo Alto was facing, even some of the sales motions. So we said Fortinet at the time had done a better job transitioning to a cloud, but Palo Alto really had a good quarter. It beat earnings revenue, and it gave guidance, and the stock moved up very nicely. But then it ran into resistance, and you can see it's a tracking about what the S and P 500 over this period of time. And you can see the revenue multiples show the valuations divergence between those two companies. It's even more stark. So you've got Fortinet's kind of holding firm, and Palo Alto, dipping a little bit. Now, let me make some comments here. I mean, I like Palo Alto Networks. Not only are they solid in the ETR dataset, despite the COVID pandemic, but anecdotal evidence in discussions with IT leaders suggests that organizations want to do business with Palo Alto. They're really considered a thought leader in the space. And I personally, I think they're going to do very well this decade. So now maybe there's some technical aspects going on with the stock. I'm not really qualified to address that. But they clearly saw some resistance despite bouncing on the strong quarter. Just couldn't hold. Now, let me skip over the green box, and I want to quickly comment on the last two here. I'm going to start with CyberArk. They are underperforming, this group, even though you would think with the focus on privileged access security, they'd do well in this environment. And they beat last quarter, but they suspended guidance, and they cited exposure to some hard hit industries on their earnings call. And as well, it just is interesting, the company is aggressively hiring. And so that increased op ex substantially. The thing in management is confidence, you know, what do they know that the street doesn't know? And they're just being cautious, you know, but they are taking a valuation hit as a result. We'll see how that plays out. Now, Proofpoint has also taken a valuation hit in our period of analysis back from February to now, despite beating estimates last quarter. You know, maybe not as strong as a work-from-home play, but again, a beat in this environment is definitely a positive. Now I want to come back to the three key companies highlighted in the green, Okta, CrowdStrike and Zscaler. Zscaler, remember, we added new in February to our four-star list, which we initiated last year. The valuation of these three companies has soared since the pandemic, and they've reported tailwinds as a result of the new reality. Okta with its identity management focus, CrowdStrike with endpoint, and Zscaler with its security cloud, are all seeing momentum. And it makes sense that these three are very focused and they're aligned with our remote worker economy, and of course, a shift to the cloud. As well, they all beat earnings and management had a pretty sanguine outlook going forward. But I want to call your attention to the revenue multiples of these three companies and take a look and compare them to their peers. You know, are these justified? Well, as I said before, there's really a difference between the stock market and what's happening in the real world today. So I would say, you know, I want to see these companies continue to outperform their estimates, and their strong guidance. And frankly, at these revenue multiples, I'd expect, you know, even higher growth rates of, especially from Okta and Zscaler. So we'll see. The point is, the market's exuberance, it's really based on future expectations. And I do think there was a bit of, you know, FOMO, fear of missing out, at play here with investors hopping on the bandwagon. Remember, look, the data from ETR shows that these companies are pretty strong, and of course, much of the stock action is based on performance relative to earnings estimates. So we'll see if this can continue. I mean, to me, it does feel a little frothy even after that recent sell off. All right, let's wrap up. So the disconnect between financial markets and the real world economy, it creates uncertainty in the market. So you got to be cautious, really, if, especially if you're chasing momentum. I just want to say, I know a lot of young investors who reach out to me and they comment to me in these segments. And look, I'm not qualified to tell you where to invest. I just report on the fundamentals and I try to tie in financial trends, and market trends, of course, But you got to do your own research, you know, be patient, do your dollar cost averaging thing. You got a long life to live. Now, the after COVID AC economy and the remote work-from-home momentum will not be a rising tide that's going to lift all ships in this segment. But there's no doubt that CSOs are rethinking cyber. We've said for years that protecting the perimeter was going to change as the main focus. And it has to a degree. But I'll tell ya, I think the mindset has changed more in the last 90 days than in the previous three years. The scourge of VPNs, and even the efficacy of SD-WAN are being called into question as security technologies that exploit the internet and cloud appear to be very sensible to CSOs and have momentum. You know, we're also seeing more collaboration between organizational boundaries, and even many CIOs are becoming much more involved in security as their line of business tends. And even some CSOs reporting it to CIO's. As we've said many times, cyber has become and will continue to be a board level agenda item and topic. On near term, we really don't see the fragmentation of the products that we've talked about for years changing. If anything, the shiny new security tools, you know, might even increase granularity in the marketplaces organizations, they can't just unplug their legacy infrastructure as much as they they'd like to. But longer term, there will be more consolidation in this market, as the whales are going to buy companies to fill holes in their lines. I mean, look at VMware, there's a good example of a company we really haven't talked about trying to elbow its way into the security space. And the cloud, as well, was going to attack some of the problems of complexity, which in part stems from too many tools, and that will foster some of this collaboration expectation. Okay, well, that's it for this week. Remember, these episodes are all available as podcasts. So please subscribe. I publish weekly on wikibon.com and siliconangle.com. So check that out and please do comment on my LinkedIn posts. You can email me as well, at david.vellante@siliconangle.com. This is Dave Vellante for The Cube Insights powered by ETR. Thanks for watching, everyone. We'll see you next time. (mellow digital music)

>> From theCUBE studios in Palo Alto in Boston, connecting with our leaders all around the world, this is theCUBE Conversation. >> Hello everyone, and welcome to this week's Wiki Bond CUBE Insights powered by ETR. In this breaking analysis, we're changing the format a little bit, we're going right to the new data from ETR. You might recall that last week, ETR received survey results from over 1000 CIOs and IT practitioners. And they made a call at that time, which said that actually surprisingly, a large number of respondents about 40% said they didn't expect a change in their 2020 IT spending. At the same time about 20% of the survey said they're going to spend more largely related to Work From Home infrastructure. ETR was really the first to report on this. And it wasn't just collaboration tool like zoom and video conferencing. It was infrastructure around that security, network bandwidth and other types of infrastructure to support Work From Home like desktop virtualization. ETR made the call at that time, that it looked like budgets, were going to be flat for 2020. Now, you also might recall consensus estimates for 2020 came into the year at about 4%, slightly ahead of GDP. Obviously, that's all is changed. Last week, ETR took the forecast down, and we're going to update you today. We're now gone slightly negative. And with me to talk about that again, is Sagar Kadakia, who's the Director of Research at ETR. Sagar, great to see you again, thank you for coming on. >> Thanks for having me again David, really appreciate it. >> Let's get right into it. I mean, if you look at the time series chart that we showed last week, you can see how sentiment changed over time. That blue line was basically people who responded to the survey starting at 3/11. Now you've updated that, that forecast, really tracking after the COVID-19 really kicked in. Can you explain what we're seeing here in this chart? >> Yeah, no problem. The last time we spoke, we were around an N or sample size of about 1000. And we were right around that zero percent growth rate. One of the unique things that we've done is we've left this survey open. And so what that allows us to do is really track the impact on annual IP growth, essentially daily. And so as things have progressed, as you look at that blue line, you can really see the growth rate has continued to trend downwards. And as of just a day or two ago, we're now below zero. And so I think because of what's occurring right now, the overall current climate continues to slightly deteriorate. You're seeing that in a lot of the CIOs responses. >> If you bring that slide back up Andrew, I want to just sort of stay on this for a second. What I really like about what you guys are doing is you're essentially bringing event analysis in this. So if you see that blue line, you see on 3/13, a national emergency was declared and that's really when the blue line started to decline. What ETR has done is kind of reset that, reset the data since 3/13. Because it's now a more accurate reflection of what's actually happening happening in the market. Notice in the upper right, it says the US approved... The Senate last night approved a stimulus package. Actually, they're calling it an Aid Package. It's really not a stimulus package. It's an aid package that they're injecting to help. A number of our workers actually sounds like existing workers and small businesses and even large businesses like Boeing. Boeing was up significantly yesterday powering the Dow and potentially airlines. As you can see ETR is going to continue to monitor the impact, and roll this out. Really ETR is the only company that I know of anyway, that can track this stuff on a daily basis. So Sagar, that event analysis is really key, and you're going to be watching the impact of this stimulus slash aid packet. >> Yeah, so here's what we're doing on that chart. If you look at that yellow line again, effectively what you're seeing is, if we remove the first I think six or seven 100 respondents that took the survey and start tracking how budgets are changing as a 3/13, that's when the US declared a national emergency. We can recalculate the growth rate. And we can see it's around... It's almost negative one and a half. And so the beauty of doing this, really polling daily, is it allows us to be just as dynamic, as a lot of these organizations are. I think one of the things we talked about the last time was some of these budget changes are going to be temporary. And organizations are figuring out what they're doing day by day. And a lot of that is dictated based on government actions. And so uniquely here, what we're able to do is kind of give people a range and also say, "based on these events, "this is how things are changing."" And so I think we think the first biggest event was on 3/13, where the US effectively declared a national emergency over COVID-19. And now what we're going to start tracking between today and over the weekend, and Monday is: Are people getting more positive? Is there no change? Or is there further deterioration because of this aid package that got passed this morning? >> Now I want to share with our audience. I've been down to ETR's headquarters in New York, it's staffed with a number of data scientists and statistical experts. The ends here are well over 1000. I think we're over 1100 now, is that correct? What is the end that we're at today? >> That's right. Yeah, we're we're pushing right over 1200. And we're going to expect a few more hundred respondents. The good thing is it's balanced, which is important. All these events that are occurring, we want to make sure that we have at least a few hundred more CIOs and IT executives answering. And so every week as we kind of continue to do some of these breaking analysis, there are going to be a few more hundred CIOs. And we'll really be able to zero in or hone in on what they're saying. The growth rate on the IT side, it's going to continue to fluctuate. It's going to continue to be dynamic over the next few weeks, but right now versus (murmurs). We are in negative territory now. >> I want to also explain I mean, the end is important. But in and of itself, it's not the be all end all, what's important about the end, the larger it is, the more cuts you can make. And I want to share... You guys have been doing this for the better part of a decade. And so you have firm level data. And you've got indicators and markers that you've tracked over the years. For example, one of the things that ETR tracks is Giant Public and Private GDP we call it. And that's for example, I'm not saying that, that Mars is one of the companies but Mars is a huge private company, UPS before they went public, huge private company. ETR tracks firm level data, they of course anonymize that, but they can see markers and trackers and trends, and probably have, I don't know dozens of those types of segments. So the bigger the end is, the more... The higher the end within those buckets, and the better the confidence interval. And you guys are experts at really digging into that in trying to understand and read the tea leaves. >> That's right. The key to this survey is, it's not anonymous, we know who is taking the survey. Now to your point, we do anonymize and aggregate it when we display those results. But one of the unique capabilities is we're able to see all of these trend lines. The entire drill down survey that we did on COVID-19 through the lenses of different verticals so we can take a look at industrials materials manufacturing, healthcare, pharma, airlines, delivery services, health, and all these other verticals and get a feel for which ones are deteriorating the most, which ones look stable. And, we talked about last week and it continues to remain true this week. And again, the ends have gone up on all these verticals on the supply chain side. Industrials, materials manufacturing, healthcare, pharma, they continue and they also anticipate to see these things in the next few months, broken supply chains and on the demand side, it's really retail consumer airlines delivery services. That's coming down quite substantial. And I think, based on what United and some of these other airlines have done these last few days in terms of cutting capacity, that's just a reflection of what we're seeing. >> Let's dig into the data a little bit more and bring up the next chart. Last week, we're about 40% actually, exactly 40% where that gray line that said: CIOs and IT practitioners said, "no change." They're like the budget of the green. The green was actually at about 20 21%. So it's slightly up now at 22%. And you can see, most of the the green is in that one to 10% range. And you can see in the left hand side, it's obviously changing. Now we're at 37% in the gray line, slightly up in the green, and a little bit more down and in the red. So take us through what's changed Sagar. >> Yeah, to reiterate what we were talking about last week, and then I'll kind of talk about some of the change is, I think the market and a lot of our clients, they were expecting the growth rate to be more negative. Last week when we talked about zero percent. The reason that, it wasn't more negative is because we saw all these organizations accelerating spend because they had to keep employees productive. They don't want to catastrophe in productivity. And so you saw this acceleration, as you mentioned earlier in the interview around Work From Home tools, like collaboration tools, increasing bandwidth on the VPN networking side, laptops, MDM, so forth and so on. That continues to hold true today. Again, if we use the same example that we talked about last week, (mumbles) organizations, they have 40 50 60,000 employees or more working from home. You have to be able to support these individuals and that's why we're actually seeing some organizations accelerate spend and the majority organizations even though they are declining spend, some of that is still being offset by having to spend more on what we're calling kind of this Work From Home infrastructure. But I will say this: you are seeing more organizations versus last week, which is why the growth rate has come down, moving more and more towards the negative buckets. Again, there is some offset there. But the offset we talked about last week, Work From Home infrastructure is not a one-for-one when it comes to taking down your IT budget, and that continues to hold true. >> Let's talk a little bit about some of the industries retail, airlines, industrials, pharma, healthcare, what are you seeing in terms of the industry impact, particularly when it relates to supply chains, but other industry data that went through? >> I think the biggest takeaway is that healthcare pharma, industry materials, manufacturing organizations, they've indicated the highest levels of broken supply chains today. And they think in three months from now, it's actually going to get worse. And so we spoke about this last time, I don't think this is going to be a V shaped recovery from the standpoint of things are going to get better in the next few weeks or the next month or two. CIOs are indicating that they expect conditions to worsen over the next three months on the supply chain side and even demand the ones that are getting hit the hardest on the retail consumer side airlines, delivery services, they are again indicating that they anticipate demand to be worse three months from now. The goal is to continue serving and pulling these individuals over the next few weeks and months and to see if we can get a better timeline as we get into two edge but for the next few months, conditions look like they're going to get worse. >> I want to highlight some of the industries and let's make some comments here. Retail... You guys called out retail airlines, delivery services, industrials, materials, manufacturing, pharma and healthcare, there's some of the highest impact. I'll just make a few comments here. I think retail really, this accelerates the whole digital transformation. We already saw this starting, I think you'll see further consolidation and some permanence in the way in which companies are pivoting to digital. Obviously, the big guys like Walmart and the like are competing very effectively with Amazon. But, there's going to be some more consolidation there. I would say potentially the same thing in airlines that really are closely watching what the government is going to do. But, do we need this this many airlines? Do we need all this capacity? Maybe yes, maybe no. So watching that. And of course, healthcare right now, as I said last week in the braking analysis, they're just too distracted right now to buy anything. And they're overwhelmed. Now, of course, pharma, they're manufacturing, so they've got disruptions in supply chain and obviously the business. But there could be an upside down the road as COVID-19 vaccines come to the market. >> On the upside, I think you kind of hit it, right on the nail. When you get these type of events that occur. Sometimes it speeds up digital transformation. one of the things that the team and I have been talking about internally is: this is not your father's Keep The Lights On strategy so to speak. Organizations are very focused on maintaining productivity versus significantly cutting costs. What does that mean? Maybe three to five years ago, if this had occurred, you would have seen a lot of infrastructure as a service platform, as a service... A lot of these cloud providers, you'd have seen those projects decline as organization spent more on on plan. And we're not seeing that. We're seeing continued elevated budgets on the Cloud side and Micron just reported this morning and again, cited strong demand on the Cloud and data center side. That just goes to show that organizations are trying to maintain productivity. They want to continue these IT roadmaps and they're going to cut budgets where they can, but it's not going to be on the Cloud side. >> You know what, that's a really important point. This is not post Y2K, not 2008, 2007, 2008, 2009 because we've, pretended but a 10 year bull market, companies are doing pretty well, balance sheets are generally strong. They somewhat in whether, it was used to stronger companies, whether they're so they're not focused right now anyway, on cut cut cut as it was in the last few downturns. Let's go into some of the vendor data and some of the sector data, Andrew if you'd bring up the next chart. What we're showing here is really comparing the the blue is the January survey to the current survey in the yellow, and you're seeing some of the sectors that are up taking. You've identified mobile device management, big data and Cloud, some of the productivity, you mentioned DocuSign, Adobe zoom, Citrix, even VMware with the desktop virtualization. We've talked about security, you've got marketing and LinkedIn, my LinkedIn inbound is going through the roof as people are probably signing up for a LinkedIn premium. Let's talk about this a little bit. What you're seeing... Help us interpret this data. >> Yeah, sure. One of the things that everybody wants to know is, okay, so Work From Home infrastructures getting more spend for the vendors that are benefiting the most. One of the unique things that we can do is because we're kind of collecting all the DNA, from a tech stack aside from these organizations, we can overlap, how they're spending on these vendors. And also with the data that they provide in terms of whether they are increasing or decelerating their IT budgets because of COVID-19. What you're looking at here, is we isolated to all of those organizations and customers that indicated that they're increasing their budgets because of COVID-19. Because of the Work From Home infrastructure. And what we're doing is we're then isolating to vendors that are getting the most upticks in spend. This actually really nicely aligns with a lot of the themes that we were talking about collaboration tools. You see that VMware, they're all right on the virtualization side, MDM with Microsoft. And you're seeing a lot of other vendors with Citrix and Zoom and Adobe. These are the ones that we think are going to benefit from this kind of Work From home infrastructure movement. And again, it's all very... It's not just the qualitative and the commentary. This is all analytics, we really went in and analyzed every single one of these organizations that were increasing their budgets and tried to pinpoint using different data analysis techniques, and to see which vendors were really getting the majority or the largest, pie of that span. >> We had Sanjay Poonen, who's the CEO of VMware on yesterday and he was very sensitive but not trying to hear as your ambulance chasing because obviously they do desktop virtualization and VDI big workload. At the same time. I think he was also being cautious because there's probably portions of their business that are going to get hit, Michael Dell similarly, I think he was quoted in CRN as saying, "hey, are we seeing momentum in our laptop "business in our mobile business?" But as you guys pointed out, the flip side of that is their on prem business is probably going to suffer somewhat. It's a kind of like the Work From Home is a partial offset, but it's not a total offset. You're seeing that with a lot of these companies. Obviously, Microsoft, AWS, a lot of the cloud companies are very well positioned, how about some of the guys that are going to get impacted? Obviously, as I said that the on-prem folks, you guys talked about earlier it's not your father's Keep Your Lights On strategy. Okay but this... You asked the question, is this a reprieve for the legacy guys? Not quite, was your conclusion. What did you mean by that? >> I think a lot of times when you have these sub-events, the clients a lot of the market think okay, "some of the legacy vendors are going to do well "because, we're in malicious times, "and we don't want to keep on this kind "of next generation strategy." We're not seeing that and to the point that you highlighted earlier. There are... Even though these companies like Dell, like Cisco, where they're seeing some products accelerate, there are products to your point that are not doing as well The desktops, right? As an example for Dell or the storage. On the negative side or the legacy side where we're just not seeing any traction, the IBM's the Oracle on-prem, Symantec, which got acquired by Broadcom, checkpoint MicroStrategy. And there's another half dozen other vendors that we're seeing where they are not capitalizing. There is no reprieve for these legacy names. And we don't anticipate them getting additional spend, because of this Work From Home infrastructure kind of movement. >> Let's unpack that a little bit. It's interesting Symantec and checkpoint in security, security you think would get an uplift there, but what you're seeing here is... Let me just tell the audience who you called out. Symantec Teradata MicroStrategy, NET app Checkpoint Oracle and IBM, and I know there are others. But I would say this: These are companies that are getting impacted in a big way by the Cloud. Particularly like Symantec and checkpoint. That's a Cloud security companies are actually probably still doing pretty well. You take Teradata, their data is getting impact by the Cloud from folks like Snowflake and Redshift, MicroStrategy a lot of modern BI coming out. NetApp here's a company that's embraced the Cloud, but the vast majority of the business changess to be on-prem. I think IBM and Oracle are interesting. They're somewhat different. Actually a lot different IBM has services exposure, and you guys call that out, particularly around outsourcing. At the same time, it's going to be interesting to see IBM is going to get a lot of resources. Going to be interesting to see if they start coming out with corona virus related services. So watching for that, and then Oracle, their whole story is, "okay, we got Gen 2 Cloud and Mission Critical in the Cloud, but they're on-prem businesses, I think clearly going to be affected here is kind of what you guys pointed out, and I would agree with your thoughts. >> I think what we're seeing is organizations they had a Cloud roadmap, and that roadmap is continuing. The one thing that is changing in some of that roadmap is we need to be able to support employees as they work from home as we achieve this roadmap. And so that's why we're not seeing a reprieve on the legacy side. But we are seeing upticks and spin where we just wouldn't anticipate them right on maybe on Citrix, on Dell laptops, Adobe and a few other areas. Now, in terms of security side, some of the next gen security vendors like CrowdStrike APi, which is an MFA, those vendors are doing well. It makes sense, where you have more people working from home, you have more devices that are connecting to data applications. Just a component itself. And so you would expect spend to continue going up as you need more authentication, more Endpoint Protection. Cisco Meraki they do Cloud Networking. That piece is looking very good, even though Hardware networking is not looking very good at all. The Cloud Networking is looking good, which again makes sense, as you're increasing bandwidth on that side. >> Definitely stories of two sides of that coin. >> That's right >> I want to... Andrew, if you want to... If you wouldn't mind bringing up the next job, we're going to go back to the first one that we showed you with the time series. This is a very important point. Again, we can't stress it enough. We want to understand the impact of the stimulus or aid package. And ETR is going to continue to track that. What can we expect from you guys over the next week or so? >> The goal is to determine whether or not the stimulus is having an impact on how people are responding to our survey as a relates to how they're changing their budgets. The next four or five days, if we start seeing an uptick in this yellow and blue lines here, I think that's a positive. I think that shows that people are kind of wrapping their heads around, great government is taking action here. There is a roadmap in place to help us get out of this. But if the line continues coming down, it just may be that the last few weeks or the last month or so, there was just so much damage. There's not really... There's no coming back from this at least in the near term. So we are kind of watching out for that. >> Well, the Fed is definitely active. >> They're doing right what they can, they're pushing liquidity into the marketplace. People think out of bullets. I don't agree with the Fed. Fed has a quite a bit of of headroom and some dry powder, (murmurs) which is awesome. But the Fed itself, can't do it. You needed to have this fiscal stimulus. So we're excited to see that come to market. I think what I would say to our audiences, my concern is uncertainty. The markets don't like uncertainty and right now there's a lot of uncertainty. If you saw the piece on medium of The Hammer And The Dance it lays out some scenarios about what could happen to the healthcare system. You see people who say, "hey, we should shut down for 10 weeks." The president saying, "hey, we want "to get back to work by by April." The big concern that I have is: okay, maybe we can stamp it out in the near term and get back to work by late April, early May. But then what happens? Are people going to start traveling again? Are people going to start holding events again? And I think there's going to be some real question marks around that. That uncertainty I think, is something that we obviously have to watch. I think there is light at the end of the tunnel, when you look at China and some of the other things that are happening around the world, but we still don't know how long that tunnel is. I'll give you final thoughts before we wrap. >> I think and that's the biggest thing here is the uncertainty, which is why we're doing a lot of this event analysis. We're trying to figure out: after each one of these big events, is there more certainty in people's responses? And just we were talking about, sectors and verticals and vendors that are not doing well. Because the uncertainty we're seeing a lot of down ticks and spend amongst outsource IT and IT consulting vendors. And as long as the uncertainty continues, you're going to see more and more IT projects frozen, less and less spend on those outsource IT and IT consulting vendors and others. And until there's something really in place here where people feel comfortable, you're going to probably see budgets remain where they are, which right now they're negative. >> Folks as we said last week, Sagar and I, ETR is committed, theCUBE is committed to keep you updated on a regular basis. Right now on a weekly cadence. As we have new information, we will bring it to you. Sagar, thanks so much for coming on and supporting us. >> You're welcome and thanks for having me again. >> You're welcome. Thank you for watching this CUBE Insights powered by ETR. And remember all these breaking analysis available on podcast, go to etr.plus that's where all the action is in terms of the survey work. siliconangle.comm covers these breaking analysis and I published weekly on wikibond.com. Thanks for watching everybody. Stay safe. And we'll see you next time.

>>live from Washington D. C. It's the Cube covering Bumi World 19 to Bide Movie. >>Hey, welcome back to the Cubes Coverage of Bumi World 19 from Washington D. C. I'm Lisa Martin with John Ferrier and John and I have a Cube alumni sitting with us. We have the chief product officer off. Del blew me. Steve would Steve, Welcome back. >>Thank you. It's great to be back. I could see again. John. Great must meet you >>back. Wise Enjoyed your keynote this morning, Man. There were so many nuggets and there I couldn't type faster. But one of my favorite things that you said is that no one is asking for less data. Slower? >>Yes, OK did I like kind of like saying because it frames things very clearly. It's just because it's clearly a prole. Every relates to him in the audience, but it was kind of amusing, so they've really got it immediately as I get that, that's a fair statement, so >>so like, and then you kind of took us the audience back. Thio 11 months ago at Bumi World 18. Some of the things that you guys said this is what we're going to be really focused on redefining the eye and I pass to be intelligent. Give her audience who wasn't able to see your keynote A little bit of that historical from 11 months ago. So what you guys are delivering today what the Bumi platform looks like today? >>Yeah, sure. So I mean, a lot of showed last Army, we kind of owe. Then we feel like we is like craters. The industry have to kind of try lead it. Where? Where is it going next? That's our big kind of duty, I guess. And so it's been taken over when we had the founder of booming attend, which was nice, but yes, so the big thing we should Last year was kind of the next generation, which is really a unified look and feel super easy to build applications that spend all of the portfolio and art in our that we offer our customers. We wanted to make it very collaborative, so users of business or business analysts or quick technical people can work together and use. Our platform is a collaboration space of the right controls in place. Eso stuff like that was really good to show that our new solutions. Overview. We've been definitely encouraging partners to put Maur intellectual property into our platform to excel, help accelerate their customers. Helping our customers just get people on board as quickly as possible. In fact, actually owned boarding employees on boarding was the solution we showed last year. >>That was fantastic. I couldn't believe how complex that was at Bumi. And when you guys said, We've got to change this huge improvements. >>Yeah, well, it was sort of a discovery that came up from one of our cells. Engineers got Andy Tiller did a fantastic job. He didn't enjoy his, um, his own boarding experience abuse me and then sort of building a solution. And we're like, we like we can actually do this way better on the platform. But what was amazing was that even for a company the size of Bumi, which is about 1000 people, we have, like, nearly 100 integration points and systems had to be coordinated to on board a single employee 100. Yeah, it's a lot, you know. So it became a really connectivity problem, actually, on >>boarding >>bits relatively easy. It's just, like connected all these systems. That's the hard bit. So yeah, we're excited to show that I think we got a kick out of seeing you together than we give progress on how we're moving that forward with various demos >>you don't want to ask you. Last year we asked the chief operating officer and the CEO Bumi what their investment priorities were going into the next year. And they said Number one was product. So that was a key thing. First and foremost go to market and then customer equation. But a product has been a big focus. That continues to be. What >>is >>the problem? Does it mean product when your chief product officer, what do you overseeing? Talk about What is the product? What is the platform And is there a difference? >>Yeah, I mean, so we we talk about the problem because we're in the product group, but we definitely see it as a platform. The investment in product is great. It means I get to spend lots of money like about my new converse. I won't try to show them, but way, but yeah, I mean, the investment partners being that we know that as we get Maur is this is this economy keeps building of integration and connective iti wanna continue to hold our leadership. We need to invest in product to make it easier. The expectations of our users is that they get a really premium experience when they're on board it onto the platform. We have to make sure we keep up to date with all of that effort. So a lot of what we talked about, it's how one is that we break our product up into discreet service is to allow us to move faster from an engineering perspective. And there's a lot of stuff that goes on there to think about ourselves as a platform to make sure we're fully extensible on. Then providing Maura Maura service is that people can build on our platform. So a lot of that investment just driving those >>activity. Rick was on yesterday talking about the big bets they made early on that are paying off. One of them was Aussie Cloud. On seeing that as you look at the architecture of this kind of new era of clobbering cloud to point, are we calling it? There's new requirements. It's the glue layers being built out. You need data to be accessible on addressable and available in real time, and you have multiple systems to talk to hence the integration you guys are doing. But this new mega trends happening is event driven architectures, which you guys talk about. There's a P I's just going from rest ful to state. And so you have micro service is here. So these air new dynamics Can >>you take >>a minute displaying like what all this means And what is event driven infrastructure? >>Yeah, a venture of architecture. But yeah, that's well, that's what we've been calling it. But yeah, I mean, it's basically that we're going to models where we're responding in real time to things that are happening out there on that revolt that involves a whole new level of scale. But, you know, we're also getting to things like streaming soas. Data come comes in, it's coming in, not in these packets, but it's constantly being fed to you, sir, constantly having to process it. You know, before in the integration space, it was like what? You'd set up a schedule you'd say, move that data at midnight from there to there and then it got faster and booming, provided real time, which was a request response that you send it personally, require a response back. But now it's like we're not going to just send it to you as a discreet thing. We're going to send it to you constantly, so event driven architectures. But how do you handle this continuous influx of data? And it's not getting any less. So how do you kind of manage this? We're being pulled in. Both ends were being pulled. There's never been more data that you never wanted to have faster. So it's like, How do you manage that? So for Bhumi, you know, that's why we're investing so heavily. >>Used to be in the old days when things were slower, events were like a trigger in a network management software alarm notification. Now they're happening. All the time is more and more events and paying attention to what events becomes a non human thing. Yeah, it's a software thing. Is that kind of where this is going? >>Yeah, well, I >>mean, we've been thinking >>a lot about that, like we sort of feel it. One is that we're gonna grow up from being on iPods to more of a data management vendor. We think that, like where the data manager in the future will come from an I pass, that we will be managing your data across like all of these systems from the catalogue and preparation to the, you know, actually integration and surfacing it up in real time and all that kind of streaming side. So I know it's Ah yeah, it's an evolving field for sure. >>One final point on this topic of product AP eyes have been great. They really made the market. Going back to the original Web service is in early two thousands to cloud. Where does a P I go? A A p I to dot or whatever you call it. What's the next Gen Place for AP? Eyes? >>Well, so it's interesting course. So we >>have >>a slightly different view of a pie management. That may be the typical AP management space, which is one thing to declare openly. But I think I >>want to >>go with that. Were right in the sense that cause I would think that because I'm a product, >>it's a good thing for a product. I don't think so Go >>and we're more than a little opinionated. So >>it is here, >>but yeah. Is that like sure. I mean, with a p I You need a gateway you need for the proxy ap eyes. Wherever they may be, wherever they may be developed. Other you build him and Bumi or you code them yourself when you told him, Manage those and throttle and scale and add policies and, you know, have developers registered to use them and monitor their usage and cut them off and have quotas. All that kind of that is old, fantastically good stuff. You know, there's lots of understeer doing a lot of that. We're adding Maur Mork capabilities there. But for us, a p I is really about AP enabling absolutely everything like we're in this world where you got refrigerators, two autonomous vehicles to cloud infrastructure to pivotal to all these different environments. And you have to have a tool that how do you How do you manage a P I across this incredibly disparate landscape of tools, technologies, things, infrastructure and it's one thing to say. OK, we could manage a P eyes and you install our software. Well, that's not good enough because, you know, with our customer like Jack in the box. They have 2200 plus retail locations. Nice have joked in my keynote that it's like painting Golden Gate Bridge. If you had to upgrade your gateway every time there was enough grade needed. It's like pain the Golden Gate Bridge to get to the end and you start all over again. That's 2200 plus retail locations. You know, I work for Dow. Ultimately is the holy owner of our business. He put five billion P seas on the planet. What if you had a gateway on five billion peces like, How do you manage that from a single control plane in the cloud? And that's what we're after. How do you do that huge scale AP enabling literally everything. >>And this was kind of under the concept of run anywhere that waas Yes, >>yes, yeah, and that was because we wanted to emphasize that it was about running Ap eyes and a pen, enabling things wherever they may be. That's why we put it under the run anywhere Banner. >>What's the biggest thing that you guys have done this year from last movie world that you're proud of? In terms of product or technology or something that could be of some obscure something prominent. What do you do? You proud of? What's the big thing? >>Yeah, well, for a point of perspective, it would be the AP I side for sure, because that was that was a big lift. There was a lot of work involved. We kind of moved ourselves forward very, very quickly in our capabilities on a p I with Gateway portal proxy, you know, literally within the span of just over a year. So that was Ah, big left. But I would, you know, because I also run engineering. So I feel like I need to, like, geek out a little bit. I mean, one of my proud things is, actually, we started wrestling and wrangling that 30 terabytes plus of metadata and starting to see what's in there. And like, anything in data science, you know, you're kind of like looking at weaken start. We started seeing all sorts of cool new things. Now I'm not gonna talk about it the inside side, But you start to see new things. We start to see ways that that meditated can be applied. So we built the infrastructure It's huge scale, massive scale they might have meditated, were ingesting and then analyzing eyes helping us, you know, improve productivity across the platforms. We talk a lot about being more efficient, more effective, so you'll see more of that in the pub. >>Can you clear up the just the commentary around the definition around single tenant instance? And when customers do multi tenant, because the benefit of the single tenants what the main core value proposition with the data, the unification of data? That's awesome. But there's also potential opportunities with customs. Might want have a roll run through things. So you have flexibility. Is that true? Is that the definite Take us through what the difference when, when multi tenant kicks in and what's >>well, so on our platform multi tendencies s. So if you think about the build experience when you're your dragon dropping, pointing, clicking, building your work flows or your processes for managing your data, you do that in the cloud, and then you can decide where you wanna put that. So where is that actually gonna be executed? And you can put it in our cloud, which is our multi tenant cloud, and then you. Could we manage it all for you? And that's fantastic. You can point or manage. Cloud service is if you have very specific requirements, usually around security, Sometimes around hyper scale. Well may put you in a manage cloud service environment. But then, if you have very sensitive data, you may want to run that workload and then stole our little run time. Adam, you know behind your firewall so we never see the data. So it's super sensitive. We don't see it. We >>see how >>it's running and we manage it. We have grade that that infrastructure for you, but we never see your data, so it kind of gives you the best of both worlds. You could be a cloud first, cloud only vendor, and you can be a traditional on perimeter. You could be a hybrid of both >>is not a requirement. The product. It's a customer choice. >>It's a total customer choice. I think that's pretty cool. Yeah, and I think actually we're one of the few that does it the way we've been doing for a long time. And it's hard, by the way, because it's like maintaining that compatibility For 10 plus years, is quite difficult to make sure everything works every time. We have, like 9000 >>customers and 80 plus countries. But on the the 30 plus terabytes of anonymous metadata, you are very clear this morning and saying that it's just the metadata that's not the actual have any any, you know, private information from any of our customers. But in terms of leveraging that data for those insights where some of the things that from last spoon me world to this one, that that access to all that data has what some are. Some of the announcements, maybe that came out today that you guys looked at saying, It's these are some of the nuggets that were able to pull out because we have the access to this musing. Maybe it's a I or what not gonna give you >>some examples in one was the the suggested filters. And it was a simple thing. I did sort of like that joke of It's one small step for Bhumi customers, but a giant leap for booming engineering. But because we rebuild a whole bunch of infrastructure to dio but suggested filters just making it easier to query information of various systems. And it is cool because it literally is looking your system, comparing it with other customers systems based on how you've configured in this case Attilio environment and then working out actually, based on what people are doing. This is kind of what the filter might look like for you, which is very, very personalized to the user. Based on intelligence. We have more That's on the bill tight. We have more on the deployment side because you can show you, actually hey, few of built in a p. I do want to deploy it out, too. A raspberry pie will. Actually, you probably want to configure the AP. I like this where you may find you see some issues here, and that's not static information that's evolving from the metadata. We can see the performance of your systems against the Oxy. All right, In that environment, I do it a bit like this. Or if you deploy to say, I Jules, we might make recommendations based on that process of that, a p I or that data quality hub that you wantto excess just make your systems run like this. So it's kind of predicting how you deployed >>I was about to say, Are you helping customers get predicted with us? >>Yes. And there's lots we can do there. I mean, like, so we'll do Maura. Maura. But we can automatically optimize your deployment. So if it's in our cloud, that that'll happens automatically. So helps us, too. But for customers, it's also making just go. Okay, we'll deploy it. And then the leverage that community to so see what works best. The most successful deployment, the most successful architecture and the way you've deployed it is was what you'll be matched with. And then the same with the run time. With monitoring, we can start to look at things and see will. Well, not slowing down a little bit. Actually, it's Linden the string error. A little bit, actually, based on what we've seen before, that system may be about to fall over, so you might want to get all not before completely does what it's gonna do. >>Well, we got you here. I want to get your definition of cloud two point. Oh, on We've been riffing on this. Been more of a takeoff on Web two point. Oh, because cloud one daughter was anything Amazon you know storage. Compute some networking, but it's Amazon that working. But you scale up start ups will go there. It's beautiful thing, but now it's enterprise. Start to embrace cloud with hybrid on premises and deal with all these hard problems and challenges. Crazy opportunity. An operating model for on premises Cloud Club one Dato Amazon. Really easy to work with. Scales are beautiful. Cloud to point is different. I got things to deal with. Observe, abilities, a hot thing you got kubernetes containers you got. How would you define what cloud? Two pointers for Enterprise? >>We'll think because we're all about the data cloud 2.0, is really like for us. Ah, data problem. I mean, it's just like E think before I mean, I was part of cells force for a while. Is this whole idea of like earlier data in the cloud will manageable for you. But when you're getting into the kind of environments were seeing, say, there's just too much data like you, it's not feasible. I mean, give you an example. Bumi itself. We moved our infrastructure customers was transplanted customers from Rackspace to eight of us Last year it was a big engineering lift to do. You can imagine moving 9000 plus customers over on our cloud Ah, design surface that but so we did that, but actually to move the data, it was so much it was actually faster to put the disk drives in the back of a van. No mobile moving over snowball using the wheel network, you know, the engine motor e one and then put the hard drives in. And then we did our sink to bring them back up so that we have the same data in both locations. And that's just an example of the kind of customer data that customers are routinely struggling with. And cloud wasn't set up for that. But that's becoming day to day now, so you need a highly distributed architecture. It was probably why we announced the Adam Fabric, which is really a fabric of connectivity, as much as is a fabric of data, so we don't need to move your data around. You can leave it where it is. We can do some analysis on it as part of an end to end >>Program Cube alumni that I was on the cube a couple weeks ago, he said. Data is the new software, data and software. What's your reaction to that when you hear that? >>To some extent, >>I think that's a CZ, A bit of a business process geek. I think you know this process around data for sure. But But I do think I've heard similar things with, like, actually, applications come and go. Business processes come and go, but the data remains so I think maybe in some respects, your date is the new software Could be a term I I could buy into a Well, >>Steve, it's been great having you on the Cube with John and me sharing all of the things that you guys have done in the last 11 months. I can't wait to see how everything becomes a P. I enabled. Still, next Bumi World, you gotta come back. Yeah, All right. Our pleasure for John Ferrier. I'm Lisa Martin. You're watching the Cube from Bhumi World 19. Thanks for watching