Krista Satterthwaite | International Women's Day
(upbeat music) >> Hello, welcome to the Cube's coverage of International Women's Day 2023. I'm John Furrier, host of the CUBE series of profiles around leaders in the tech industry sharing their stories, advice, best practices, what they're doing in their jobs their vision of the future, and more importantly, passing it on and encouraging more and more networking and telling the stories that matter. Our next guest is a great executive leader talking about how to lead in challenging times. Krista Satterthwaite, who is Senior Vice President and GM of Mainstream Compute. Krista great to see you're Cube alumni. We've had you on before talking about compute power. And by the way, congratulations on your BPT and Black Professional Tech Network 2023 Black Tech Exec of the Year Award. >> Thank you very much. Appreciate it. And thanks for having me. >> I knew I liked you the first time we were doing interviews together. You were so smart and so on top of it. Thanks for coming on. >> No problem. >> All kidding aside, let's get into it. You know, one of the things that's coming out on these interviews is leadership is being showcased and there's a network effect happening in the industry and you're starting to see people look and hear stories that they may or may not have heard before or news stories are coming out. So, one of the things that's interesting is that also in the backdrop of post pandemic, there's been a turn in the industry a little bit, there's a little bit of headwind in certain areas, some tailwinds in cloud and other areas. Compute, your area is doing very well. It could be challenging. And as a leader, has the conversation changed? And where are you at right now in the network of folks you're working with? What's the mood? >> Yeah, so actually I, things are much better. Obviously we had a chip shortage last year. Things are much, much better. But I learned a lot when it came to going through challenging times and leadership. And I think when we talk to customers, a lot of 'em are in challenging situations. Sometimes it's budget, sometimes it's attracting and retaining talent and sometimes it's just demands because, it's really exciting that technology is behind everything. But that means the demands on IT are bigger than ever before. So what I find when it comes to challenging times is that there's really three qualities that are game changers when it comes to leading and challenging times. And the first one is positivity. People have to feel like there's a light at the end of the tunnel to make sure that, their attitudes stay up, that they stay working really really hard and they look to the leader for that. The second one is communication. And I read somewhere that communication is leadership. And we had a great example from our CEO Antonio Neri when the pandemic hit and everything shut down. He had an all employee meeting every week for a month and we have tens of thousands of employees. And then even after that month, we had 'em very regularly. But he wanted to make sure that everybody heard from, him his thoughts had all the updates, knew how their peers were doing, how we were helping customers. And I really learned a lot from that in terms of communicating and communicating more during tough times. And then I would say the third one is making sure that they are informed and they feel empowered. So I would say a leader who is able to do that really, really stands out in a challenging time. >> So how do you get yourself together? Obviously you the chip shortage everyone knows in the industry and for the folks not in the tech industry, it was an economic potential disaster, because you don't get the chips you need. You guys make servers and technology, chips power everything. If you miss a shipment, it could cause a lot of backlash. So Cisco had an earnings impact. It has impact to the business. When do you have that code red moment where it's like, okay, we have to kind of put the pause and go into emergency mode. And how do you handle that? >> Well, you know, it is funny 'cause when it, when we have challenges, I come to learn that people can look at challenges and hard work as a burden or a mission and they behave totally different. If they see it as a burden, then they're doing the bare minimum and they're pointing fingers and they're complaining and they're probably not getting a whole lot done. If they see it as a mission, then all of a sudden they're going above and beyond. They're working really hard, they're really partnering. And if it affects customers for HPE, obviously we, HPE is a very customer centric company, so everyone pays attention and tries to pitch in. But when it comes to a mission, I started thinking, what are the real ingredients for a mission? And I think it's important. I think it's, people feel like they can make an impact. And then I think the third one is that the goal is clear, even if the path isn't, 'cause you may have to pivot a lot if it's a challenge. And so when it came to the chip shortage, it was a mission. We wanted to make sure that we could ship to customers as quickly as possible. And it was a mission. Everybody pulled together. I learned how much our team could pull off and pull together through that challenge. >> And the consequences can be quantified in economics. So it's like the burn the boats example, you got to burn the boats, you're stuck. You got to figure out a solution. How does that change the demands on people? Because this is, okay, there's a mission it they're not, it's not normal. What are some of those new demands that arise during those times and how do you manage that? How do you be a leader? >> Yeah, so it's funny, I was reading this statement from James White who used to be the CEO of Jamba Juice. And he was talking about how he got that job. He said, "I think it was one thing I said that really convinced them that I was the right person." And what he said was something like, "I will get more out of people than nine out of 10 leaders on the planet." He said, "Because I will look at their strengths and their capabilities and I will play to their passions." and their capabilities and I will play their passions. and getting the most out people in difficult times, it is all about how much you can get out of people for their own sake and for the company's sake. >> That's great feedback. And to people watching who are early in their careers, leading is getting the best out of your team, attitude. Some of the things you mentioned. What advice would you give folks that are starting to get into the workforce, that are starting to get into that leadership track or might have a trajectory or even might have an innate ability that they know they have and they want to pursue that dream? >> Yeah so. >> What advice would you give them? >> Yeah, what I would say, I say this all the time that, for the first half of my career I was very job conscious, but I wasn't very career conscious. So I'd get in a role and I'd stay in that role for long periods of time and I'd do a good job, but I wasn't really very career conscious. And what I would say is, everybody says how important risk taking is. Well, risk taking can be a little bit of a scary word, right? Or term. And the way I see it is give it a shot and see what happens. You're interested in something, give it a shot and see what happens. It's kind of a less intimidating way of looking at risk because even though I was job conscious, and not career conscious, one thing I did when people asked me to take something on, hey Krista, would you like to take on more responsibility here? The answer was always yes, yes, yes, yes. So I said yes because I said, hey I'll give it a shot and see what happens. And that helped me tremendously because I felt like I am giving it a try. And the more you do that, the the better it is. >> It's great. >> And actually the the less scary it is because you do that, a few times and it goes well. It's like a muscle that builds. >> It's funny, a woman executive was on the program. I said, the word balance comes up a lot. And she stopped and said, "Let's just talk about balance for a second." And then she went contrarian and said, "It's about not being unbalanced. It's about being, taking a chance and being a little bit off balance to put yourself outside your comfort zone to try new things." And then she also came up and followed and said, "If you do that alone, you increase your risk. But if you do it with people, a team that you trust and you're authentic and you're vulnerable and you're communicating, that is the chemistry." And that was a really good point. What's your reaction? 'Cause you were talking about authentic conversations good communications with Antonio. How does someone get, feel, find that team and do you agree with it? And what was your, how would you react to that? >> Yes, I agree with that. And when it comes to being authentic, that's the magic and when someone isn't, if someone's not really being themselves, it's really funny because you can feel it, you can sense it. There's kind of a wall between you and them. And over time people won't be able to put their finger on it, but they'll feel a distance from you. But when you're authentic and you share who you are, what you find is you find things in common with other people. 'Cause you're sharing more of who you are and it's like, oh, I do that too. Oh, I'm interested in that too. And build the bonds between people and the authenticity. And that's what people crave. They want people to be authentic and people can tell when you're authentic and when you're not. >> Is managing and leading through a crisis a born talent or can you learn it? >> Oh, definitely learned. I think that we're born knowing nothing and I once read people are nurtured into greatness and I think that's true. So yeah, definitely learned. >> What are some examples that can come out of a tough time as folks may look at a crisis and be shy away from it? How do they lean into it? What advice would you give folks? How do you handle it? I mean, everyone's got different personality. Okay, they get to a position but stepping through that door. >> Yeah, well, I do this presentation called, "10 things I Wish I Knew Earlier in my Career." And one of those things is about the growth mindset and the growth mindset. There's a book called "Mindset" by Carol Dweck and the growth mindset is all about learning and not always having to know everything, but really the winning is in the learning. And so if you have a growth mindset it makes you feel better about everything because you can't lose. You're winning because you're learning. So when I've learned that, I started looking at things much differently. And when it comes to going through tough times, what I find is you're exercising muscles that you didn't even know you had, which makes you stronger when the crisis is over, obviously. And I also feel like you become a lot a much more creative when you're in challenging times. You're forced to do things that you hadn't had to do before. And it also bonds the team. It's almost like going through bootcamp together. When you go through a challenge together it bonds you for life. >> I mean, you could have bonding, could be trauma bonding or success bonding. People love to be on the success side because that's positive and that's really the key mindset. You're always winning if you have that attitude. And learnings is also positive. So it's not, it's never a failure unless you make it. >> That's right, exactly. As long as you learn from it. And that's the name of the game. So, learning is the goal. >> So I have to ask you, on your job now, you have a really big responsibility HPE compute and big division. What's the current mindset that you have right now in your career, where you're at? What are some of the things on your mind that you think about? We had other, other seniors leaders say, hey, you know I got the software as my brain and the hardware's my body. I like to keep software and hardware working together. What is your current state of your career and how you looking at it, what's next and what's going on in your mind right now? >> Yeah, so for me, I really want to make sure that for my team we're nurturing the next generation of leadership and that we're helping with career development and career growth. And people feel like they can grow their careers here. Luckily at HPE, we have a lot of people stay at HPE a long time, and even people who leave HPE a lot of times they come back because the culture's fantastic. So I just want to make sure I'm contributing to that culture and I'm bringing up the next generation of leaders. >> What's next for you? What are you looking at from a career personal standpoint? >> You know, it's funny, I, I love what I'm doing right now. I'm actually on a joint venture board with H3C, which is HPE Joint Venture Company. And so I'm really enjoying that and exploring more board service opportunities. >> You have a focus of good growth mindset, challenging through, managing through tough times. How do you stay focused on that North star? How do you keep the reinforcement of the mission? How do you nurture the team to greatness? >> Yeah, so I think it's a lot of clarity, providing a lot of clarity about what's important right now. And it goes back to some of the communication that I mentioned earlier, making sure that everybody knows where the North Star is, so everybody's focused on the same thing, because I feel like with the, I always felt like throughout my career I was set up for success if I had the right information, the right guidance and the right goals. And I try to make sure that I do that with my team. >> What are some of the things that you could share as we wrap up here for the folks watching, as the networks increase, as the stories start to unfold more and more on digital like we're doing here, what do you hope people walk away with? What's working, what needs work, and what is some things that people aren't talking about that should be discussed publicly? >> Do you mean from a career standpoint or? >> For career? For growing into tech and into leadership positions. >> Okay. >> Big migration tech is now a wide field. I mean, when I grew up, broke into the eighties, it was computer science, software engineering, and three degrees in engineering, right? >> I see huge swath of AI coming. So many technical careers. There's a lot more women. >> Yeah. And that's what's so exciting about being in a technical career, technical company, is that everything's always changing. There's always opportunity to learn something new. And frankly, you know, every company is in the business of technology right now, because they want to closer to their customers. Typically, they're using technology to do that. Everyone's digitally transforming. And so what I would say is that there's so much opportunity, keep your mind open, explore what interests you and keep learning because it's changing all the time. >> You know I was talking with Sue, former HP, she's on a lot of boards. The balance at the board level still needs a lot of work and the leaderships are getting better, but the board at the seats at the table needs work. Where do you see that transition for you in the future? Is that something on your mind? Maybe a board seat? You mentioned you're on a board with HPE, but maybe sitting on some other boards? Any, any? >> Yes, actually, actually, we actually have a program here at HPE called the Board Ready Now program that I'm a part of. And so HPE is very supportive of me exploring an independent board seat. And so they have some education and programming around that. And I know Sue well, she's awesome. And so yes, I'm looking into those opportunities right now. >> She advises do one no more than two. The day job. >> Yeah, I would only be doing one current job that I have. >> Well, kris, it was great to chat with you about these topics and leadership and challenging times. Great masterclass, great advice. As SVP and GM of mainstream compute for HPE, what's going on in your job these days? What's the most exciting thing happening? Share some of your work situations. >> Sure, so the most exciting thing happening right now is HPE Gen 11, which we just announced and started shipping, brings tremendous performance benefit, has an intuitive operating experience, a trusted security by design, and it's optimized to run workloads so much faster. So if anybody is interested, they should go check it out on hpe.com. >> And of course the CUBE will be at HPE Discover. We'll see you there. Any final wisdom you'd like to share as we wrap up the last minute here? >> Yeah, so I think the last thing I'll say is that when it comes to setting your sights, I think, expecting it, good things to happen usually happens when you believe you deserve it. So what happens is you believe you deserve it, then you expect it and you get it. And so sometimes that's about making sure you raise your thermostat to expect more. And I always talk about you don't have to raise it all up at once. You could do that incrementally and other people can set your thermostat too when they say, hey, you should be, you should get a level this high or that high, but raise your thermostat because what you expect is what you get. >> Krista, thank you so much for contributing to this program. We're going to do it quarterly. We're going to do getting more stories out there, so we'll have you back and if you know anyone with good stories, send them our way. And congratulations on your BPTN Tech Executive of the Year award for 2023. Congratulations, great prize there and great recognition for your hard work. >> Thank you so much, John, I appreciate it. >> Okay, this is the Cube's coverage of National Woodman's Day. I'm John Furrier, stories from the front lines, management ranks, developers, all there, global coverage of international events with theCUBE. Thanks for watching. (soft music)
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And by the way, Thank you very much. I knew I liked you And where are you at right now And the first one is positivity. And how do you handle that? that the goal is clear, And the consequences can and for the company's sake. Some of the things you mentioned. And the more you do that, And actually the the less scary it is find that team and do you agree with it? and you share who you are, and I once read What advice would you give folks? And I also feel like you become a lot I mean, you could have And that's the name of the game. that you have right now of leadership and that we're helping And so I'm really enjoying that How do you nurture the team to greatness? of the communication For growing into tech and broke into the eighties, I see huge swath of AI coming. And frankly, you know, every company is Where do you see that transition And so they have some education She advises do one no more than two. one current job that I have. great to chat with you Sure, so the most exciting And of course the CUBE So what happens is you and if you know anyone with Thank you so much, from the front lines,
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Jim Harris, International Best Selling Author of Blindsided & Carolina Milanesi, Creative Strategies
>> Narrator: "theCUBE's" live coverage is made possible by funding from Dell Technologies. Creating technologies that drive human progress. (intro music) >> Good afternoon, everyone. Welcome back to "theCUBE's" day three coverage of MWC23. Lisa Martin here in Spain, Barcelona, Spain with Dave Nicholson. We're going to have a really interesting conversation next. We're going to really dig into MWC, it's history, where it's going, some of the controversy here. Please welcome our guests. We have Jim Harris, International Best Selling Author of "Blindsided." And Carolina Milanese is here, President and Principle Analyst of creative strategies. Welcome to "theCUBE" guys. Thank you. >> Thanks. So great to be here. >> So this is day three. 80,000 people or so. You guys have a a lot of history up at this event. Caroline, I want to start with you. Talk a little bit about that. This obviously the biggest one in, in quite a few years. People are ready to be back, but there's been some, a lot of news here, but some controversy going on. Give us the history, and your perspective on some of the news that's coming out from this week's event. >> It feels like a very different show. I don't know if I would say growing up show, because we are still talking about networks and mobility, but there's so much more now around what the networks actually empower, versus the network themselves. And a little bit of maybe that's where some of the controversy is coming from, carriers still trying to find their identity, right, of, of what their role is in all there is to do with a connected world. I go back a long way. I go back to when Mobile World Congress was called, was actually called GSM, and it was in Khan. So, you know, we went from France to Spain. But just looking at the last full Mobile World Congress here in Barcelona, in pre-pandemic to now, very different show. We went from a show that was very much focused on mobility and smartphones, to a show that was all about cars. You know, we had cars everywhere, 'cause we were talking about smart cities and connected cars, to now a show this year that is very much focused on B2B. And so a lot of companies that are here to either work with the carriers, or also talk about sustainability for instance, or enable what is the next future evolution of computing with XR and VR. >> So Jim, talk to us a little bit about your background. You, I was doing a little sleuthing on you. You're really focusing on disruptive innovation. We talk about disruption a lot in different industries. We're seeing a lot of disruption in telco. We're seeing a lot of frenemies going on. Give us your thoughts about what you're seeing at this year's event. >> Well, there's some really exciting things. I listened to the keynote from Orange's CEO, and she was complaining that 55% of the traffic on her network is from five companies. And then the CEO of Deutsche Telecom got up, and he was complaining that 60% of the traffic on his network is from six entities. So do you think they coordinated pre, pre-show? But really what they're saying is, these OTT, you know, Netflix and YouTube, they should be paying us for access. Now, this is killer funny. The front page today of the show, "Daily," the CO-CEO of Netflix says, "Hey, we make less profit than the telcos, "so you should be paying us, "not the other way around." You know, we spend half of the money we make just on developing content. So, this is really interesting. The orange CEO said, "We're not challenging net neutrality. "We don't want more taxes." But boom. So this is disruptive. Huge pressure. 67% of all mobile traffic is video, right? So it's a big hog bandwidth wise. So how are they going to do this? Now, I look at it, and the business model for the, the telcos, is really selling sim cards and smartphones. But for every dollar of revenue there, there's five plus dollars in apps, and consulting and everything else. So really, but look at how they're structured. They can't, you know, take somebody who talks to the public and sells sim cards, and turn 'em in, turn 'em in to an app developer. So how are they going to square this circle? So I see some, they're being disrupted because they're sticking to what they've historically done. >> But it's interesting because at the end of the day, the conversation that we are having right now is the conversation that we had 10 years ago, where carriers don't want to just be a dumb pipe, right? And that's what they are now returning to. They tried to be media as well, but that didn't work out for most carriers, right? It is a little bit better in the US. We've seen, you know, some success there. But, but here has been more difficult. And I think that's the, the concern, that even for the next, you know, evolution, that's the, their role. >> So how do they, how do they balance this dumb pipe idea, with the fact that if you make the toll high enough, being a dumb pipe is actually a pretty good job. You know, sit back, collect check, go to the beach, right? So where, where, where, where does this end up? >> Well, I think what's going to happen is, if you see five to 15 X the revenue on top of a pipe, you know, the hyperscalers are going to start going after the business. The consulting companies like PWC, McKinsey, the app developers, they're... So how do you engage those communities as a telco to get more revenue? I think this is a question that they really need to look at. But we tend to stick within our existing business model. I'll just give you one stat that blows me away. Uber is worth more than every taxi cab company in North America added together. And so the taxi industry owns billions in assets in cars and limousines. Uber doesn't own a single vehicle. So having a widely distributed app, is a huge multiplier on valuation. And I look to a company like Safari in Kenya, which developed M-Pesa, which Pesa means mo, it's mobile money in Swahili. And 25% of the country's GDP is facilitated by M-Pesa. And that's not even on smartphones. They're feature phones, Nokia phones. I call them dumb phones, but Nokia would call them "feature phones." >> Yeah. >> So think about that. Like 25, now transactions are very small, and the cut is tiny. But when you're facilitating 25% of a country's GDP, >> Yeah. >> Tiny, over billions of transactions is huge. But that's not the way telcos have historically thought or worked. And so M-Pesa and Safari shows the way forward. What do you think on that? >> I, I think that the experience, and what they can layer on top from a services perspective, especially in the private sector, is also important. I don't, I never believe that a carrier, given how they operate, is the best media company in the world, right? It is a very different world. But I do think that there's opportunity, first of all, to, to actually tell their story in a different way. If you're thinking about everything that a network actually empowers, there's a, there's a lot there. There's a lot that is good for us as, as society. There's a lot that is good for business. What can they do to start talking about differently about their services, and then layer on top of what they offer? A better way to actually bring together private and public network. It's not all about cellular, wifi and cellular coming together. We're talking a lot about satellite here as well. So, there's definitely more there about quality of service. Is, is there though, almost a biological inevitability that prevents companies from being able to navigate that divide? >> Hmm. >> Look at, look at when, when, when we went from high definition 720P, very exciting, 1080P, 4K. Everybody ran out and got a 4K TV. Well where was the, where was the best 4K content coming from? It wasn't, it wasn't the networks, it wasn't your cable operator, it was YouTube. It was YouTube. If you had suggested that 10 years before, that that would happen, people would think that you were crazy. Is it possible for folks who are now leading their companies, getting up on stage, and daring to say, "This content's coming over, "and I want to charge you more "for using my pipes." It's like, "Really? Is that your vision? "That's the vision that you want to share with us here?" I hear the sound of dead people walking- (laughing) when I hear comments like that. And so, you know, my students at Wharton in the CTO program, who are constantly looking at this concept of disruption, would hear that and go, "Ooh, gee, did the board hear what that person said?" I, you know, am I being too critical of people who could crush me like a bug? (laughing) >> I mean, it's better that they ask the people with money than not consumers to pay, right? 'Cause we've been through a phase where the carriers were actually asking for more money depending on critical things. Like for instance, if you're doing business email, then were going to charge you more than if you were a consumer. Or if you were watching video, they would charge you more for that. Then they understood that a consumer would walk away and go somewhere else. So they stopped doing that. But to your point, I think, and, and very much to what you focus from a disruption perspective, look at what Chat GTP and what Microsoft has been doing. Not much talk about this here at the show, which is interesting, but the idea that now as a consumer, I can ask new Bing to get me the 10 best restaurants in Barcelona, and I no longer go to Yelp, or all the other businesses where I was going to before, to get their recommendation, what happens to them? You're, you're moving away, and you're taking eyeballs away from those websites. And, and I think that, that you know, your point is exactly right. That it's, it's about how, from a revenue perspective, you are spending a lot of money to facilitate somebody else, and what's in it for you? >> Yeah. And to be clear, consumers pay for everything. >> Always. Always. (laughs) >> Taxpayers and consumers always pay for everything. So there is no, "Well, we're going to make them pay, so you don't have to pay." >> And if you are not paying, you are the product. Exactly. >> Yes. (laughing) >> Carolina, talk a little bit about what you're seeing at the event from some of the infrastructure players, the hyperscalers, obviously a lot of enterprise focus here at this event. What are some of the things that you're seeing? Are you impressed with, with their focus in telco, their focus to partner, build an ecosystem? What are you seeing? >> I'm seeing also talk about sustainability, and enabling telco to be more sustainable. You know, there, there's a couple of things that are a little bit different from the US where I live, which is that telcos in Europe, have put money into sustainability through bonds. And so they use the money that they then get from the bonds that they create, to, to supply or to fuel their innovation in sustainability. And so there's a dollar amount on sustainability. There's also an opportunity obviously from a growth perspective. And there's a risk mitigation, right? Especially in Europe, more and more you're going to be evaluated based on how sustainable you are. So there are a lot of companies here, if you're thinking about the Ciscos of the world. Dell, IBM all talking about sustainability and how to help carriers measure, and then obviously be more sustainable with their consumption and, and power. >> Going to be interesting to see where that goes over the years, as we talk to, every company we talk to at whatever show, has an ESG sustainability initiative, and only, well, many of them only want to work with other companies who have the same types of initiative. So a lot of, great that there's focus on sustainability, but hopefully we'll see more action down the road. Wanted to ask you about your book, "Blind," the name is interesting, "Blindsided." >> Well, I just want to tag on to this. >> Sure. >> One of the most exciting things for me is fast charging technology. And Shalmie, cell phone, or a smartphone maker from China, just announced yesterday, a smartphone that charges from 0 to 100% in five minutes. Now this is using GAN FEST technology. And the leader in the market is a company called Navitas. And this has profound implications. You know, it starts with the smartphone, right? But then it moves to the laptops. And then it'll move to EV's. So, as we electrify the $10 trillion a year transportation industry, there's a huge opportunity. People want charging faster. There's also a sustainability story that, to Carolina's point, that it uses less electricity. So, if we electrify the grid in order to support transportation, like the Tesla Semi's coming out, there are huge demands over a period. We need energy efficiency technologies, like this GAN FEST technology. So to me, this is humongous. And it, we only see it here in the show, in Shalmie, saying, "Five minutes." And everybody, the consumers go, "Oh, that's cool." But let's look at the bigger story, which is electrifying transportation globally. And this is going to be big. >> Yeah. And, and to, and to double click on that a little bit, to be clear, when we talk about fast charging today, typically it's taking the battery from a, not a zero state of charge, but a relatively low state of charge to 80%. >> Yep. >> Then it tapers off dramatically. And that translates into less range in an EV, less usable time on any other device, and there's that whole linkage between the power in, and the battery's ability to be charged, and how much is usable. And from a sustainability perspective, we are going to have an avalanche of batteries going into secondary use cases over time. >> They don't get tossed into landfills contrary to what people might think. >> Yep. >> In fact, they are used in a variety of ways after their primary lifespan. But that, that is, that in and of itself is a revolutionary thing. I'm interested in each of your thoughts on the China factor. Glaringly absent here, from my perspective, as sort of an Apple fanboy, where are they? Why aren't they talking about their... They must, they must feel like, "Well we just don't need to." >> We don't need to. We just don't need to. >> Absolutely. >> And then you walk around and you see these, these company names that are often anglicized, and you don't necessarily immediately associate them with China, but it's like, "Wait a minute, "that looks better than what I have, "and I'm not allowed to have access to that thing." What happens in the future there geopolitically? >> It's a pretty big question for- >> Its is. >> For a short little tech show. (Caroline laughs) But what happens as we move forward? When is the entire world going to be able to leverage in a secure way, some of the stuff that's coming out of, if they're not the largest economy in the world yet, they shortly will be. >> What's the story there? >> Well, it's interesting that you mentioned First Apple that has never had a presence at Mobile World Congress. And fun enough, I'm part of the GSMA judges for the GLOMO Awards, and last night I gave out Best Mobile Phone for last year, and it was to the iPhone4 Team Pro. and best disruptive technology, which was for the satellite function feature on, on the new iPhone. So, Apple might not be here, but they are. >> Okay. >> And, and so that's the first thing. And they are as far as being top of mind to every competitor in the smartphone market still. So a lot of the things that, even from a design perspective that you see on some of the Chinese brands, really remind you of, of Apple. What is interesting for me, is how there wouldn't be, with the exception of Samsung and Motorola, there's no one else here that is non-Chinese from a smartphone point of view. So that's in itself, is something that changed dramatically over the years, especially for somebody like me that still remember Nokia being the number one in the market. >> Huh. >> So. >> Guys, we could continue this conversation. We are unfortunately out of time. But thank you so much for joining Dave and me, talking about your perspectives on the event, the industry, the disruptive forces. It's going to be really interesting to see where it goes. 'Cause at the end of the day, it's the consumers that just want to make sure I can connect wherever I am 24 by seven, and it just needs to work. Thank you so much for your insights. >> Thank you. >> Lisa, it's been great. Dave, great. It's a pleasure. >> Our pleasure. For our guests, and for Dave Nicholson, I'm Lisa Martin. You're watching, "theCUBE," the leader in live and emerging tech coverage coming to you day three of our coverage of MWC 23. Stick around. Our next guest joins us momentarily. (outro music)
SUMMARY :
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Jeetu Patel, Cisco | MWC Barcelona 2023
>> Narrator: theCUBE's live coverage is made possible by funding from Dell Technologies, creating technologies that drive human progress. (bright upbeat music plays) >> Welcome back to Barcelona, everybody. You're watching theCUBE's coverage of MWC '23, my name is Dave Vellante. Just left a meeting with the CEO of Cisco, Chuck Robbins, to meet with Jeetu Patel, who's our Executive Vice President and General Manager of security and collaboration at Cisco. Good to see you. >> You never leave a meeting with Chuck Robbins to meet with Jeetu Patel. >> Well, I did. >> That's a bad idea. >> Walked right out. I said, hey, I got an interview to do, right? So, and I'm excited about this. Thanks so much for coming on. >> Thank you for having me. It's a pleasure. >> So, I mean you run such an important part of the business. I mean, obviously the collaboration business but also security. So many changes going on in the security market. Maybe we could start there. I mean, there hasn't been a ton of security talk here Jeetu, because I think it's almost assumed. It was 45 minutes into the keynote yesterday before anybody even mentioned security. >> Huh. >> Right? And so, but it's the most important topic in the enterprise IT world. And obviously is important here. So why is it you think that it's not the first topic that people mention. >> You know, it's a complicated subject area and it's intimidating. And actually that's one of the things that the industry screwed up on. Where we need to simplify security so it actually gets to be relatable for every person on the planet. But, if you think about what's happening in security, it's not just important for business it's critical infrastructure that if you had a breach, you know lives are cost now. Because hospitals could go down, your water supply could go down, your electricity could go down. And so it's one of these things that we have to take pretty seriously. And, it's 51% of all breaches happen because of negligence, not because of malicious intent. >> It's that low. Interesting. I always- >> Someone else told me the same thing, that they though it'd be higher, yeah. >> I always say bad user behavior is going to trump good security every time. >> Every single time. >> You can't beat it. But, you know, it's funny- >> Jeetu: Every single time. >> Back, the earlier part of last decade, you could see that security was becoming a board level issue. It became, it was on the agenda every quarter. And, I remember doing some research at the time, and I asked, I was interviewing Robert Gates, former Defense Secretary, and I asked him, yeah, but we're getting attacked but don't we have the best offense? Can't we have the best technology? He said, yeah but we have so much critical infrastructure the risks to United States are higher. So we have to be careful about how we use security as an offensive weapon, you know? And now you're seeing the future of war involves security and what's going on in Ukraine. It's a whole different ballgame. >> It is, and the scales always tip towards the adversary, not towards the defender, because you have to be right every single time. They have to be right once. >> Yeah. And, to the other point, about bad user behavior. It's going now beyond the board level, to it's everybody's responsibility. >> That's right. >> And everybody's sort of aware of it, everybody's been hacked. And, that's where it being such a complicated topic is problematic. >> It is, and it's actually, what got us this far will not get us to where we need to get to if we don't simplify security radically. You know? The experience has to be almost invisible. And what used to be the case was sophistication had to get to a certain level, for efficacy to go up. But now, that sophistication has turned to complexity. And there's an inverse relationship between complexity and efficacy. So the simpler you make security, the more effective it gets. And so I'll give you an example. We have this great kind of innovation we've done around passwordless, right? Everyone hates passwords. You shouldn't have passwords in 2023. But, when you get to passwordless security, not only do you reduce a whole lot of friction for the user, you actually make the system safer. And that's what you need to do, is you have to make it simpler while making it more effective. And, I think that's what the future is going to hold. >> Yeah, and CISOs tell me that they're, you know zero trust before the pandemic was like, yeah, yeah zero trust. And now it's like a mandate. >> Yeah. >> Every CISO you talk to says, yes we're implementing a zero trust architecture. And a big part of that is that, if they can confirm zero trust, they can get to market a lot faster with revenue generating or critical projects. And many projects as we know are being pushed back, >> Yeah. >> you know? 'Cause of the macro. But, projects that drive revenue and value they want to accelerate, and a zero trust confirmation allows people to rubber stamp it and go faster. >> And the whole concept of zero trust is least privileged access, right? But what we want to make sure that we get to is continuous assessment of least privileged access, not just a one time at login. >> Dave: 'Cause things change so frequently. >> So, for example, if you happen to be someone that's logged into the system and now you start doing some anomalous behavior that doesn't sound like Dave, we want to be able to intercept, not just do it at the time that you're authenticating Dave to come in. >> So you guys got a good business. I mentioned the macro before. >> Yeah. >> The big theme is consolidating redundant vendors. So a company with a portfolio like Cisco's obviously has an advantage there. You know, you guys had great earnings. Palo Alto is another company that can consolidate. Tom Gillis, great pickup. Guy's amazing, you know? >> Love Tom. >> Great respect. Just had a little webinar session with him, where he was geeking out with the analyst and so- >> Yeah, yeah. >> Learned a lot there. Now you guys have some news, at the event event with Mercedes? >> We do. >> Take us through that, and I want to get your take on hybrid work and what's happening there. But what's going on with Mercedes? >> Yeah so look, it all actually stems from the hybrid work story, which is the future is going to be hybrid, people are going to work in mixed mode. Sometimes you'll be in the office, sometimes at home, sometimes somewhere in the middle. One of the places that people are working more and more from is their cars. And connected cars are getting to be a reality. And in fact, cars sometimes become an extension of your home office. And many a times I have found myself in a parking lot, because I didn't have enough time to get home and I was in a parking lot taking a conference call. And so we've made that section easier, because we have now partnered with Mercedes. And they aren't the first partner, but they're a very important partner where we are going to have Webex available, through the connected car, natively in Mercedes. >> Ah, okay. So I could take a call, I can do it all the time. I find good service, pull over, got to take the meeting. >> Yeah. >> I don't want to be driving. I got to concentrate. >> That's right. >> You know, or sometimes, I'll have the picture on and it's not good. >> That's right. >> Okay, so it'll be through the console, and all through the internet? >> It'll be through the console. And many people ask me like, how's safety going to work over that? Because you don't want to do video calls while you're driving. Exactly right. So when you're driving, the video automatically turns off. And you'll have audio going on, just like a conference call. But the moment you stop and put it in park, you can have video turned on. >> Now, of course the whole hybrid work trend, we, seems like a long time ago but it doesn't, you know? And it's really changed the security dynamic as well, didn't it? >> It has, it has. >> I mean, immediately you had to go protect new endpoints. And those changes, I felt at the time, were permanent. And I think it's still the case, but there's an equilibrium now happening. People as they come back to the office, you see a number of companies are mandating back to work. Maybe the central offices, or the headquarters, were underfunded. So what's going on out there in terms of that balance? >> Well firstly, there's no unanimous consensus on the way that the future is going to be, except that it's going to be hybrid. And the reason I say that is some companies mandate two days a week, some companies mandate five days a week, some companies don't mandate at all. Some companies are completely remote. But whatever way you go, you want to make sure that regardless of where you're working from, people can have an inclusive experience. You know? And, when they have that experience, you want to be able to work from a managed device or an unmanaged device, from a corporate network or from a Starbucks, from on the road or stationary. And whenever you do any of those things, we want to make sure that security is always handled, and you don't have to worry about that. And so the way that we say it is the company that created the VPN, which is Cisco, is the one that's going to kill it. Because what we'll do is we'll make it simple enough so that you don't, you as a user, never have to worry about what connection you're going to use to dial in to what app. You will have one, seamless way to dial into any application, public application, private application, or directly to the internet. >> Yeah, I got a love, hate with my VPN. I mean, it's protecting me, but it's in the way a lot. >> It's going to be simple as ever. >> Do you have kids? >> I do, I have a 12 year old daughter. >> Okay, so not quite high school age yet. She will be shortly. >> No, but she's already, I'm not looking forward to high school days, because she has a very, very strong sense of debate and she wins 90% of the arguments. >> So when my kids were that age, I've got four kids, but the local high school banned Wikipedia, they can't use Wikipedia for research. Many colleges, I presume high schools as well, they're banning Chat GPT, can't use it. Now at the same time, I saw recently on Medium a Wharton school professor said he's mandating Chat GPT to teach his students how to prompt in progressively more sophisticated prompts, because the future is interacting with machines. You know, they say in five years we're all going to be interacting in some way, shape, or form with AI. Maybe we already are. What's the intersection between AI and security? >> So a couple very, very consequential things. So firstly on Chat GPT, the next generation skill is going to be to learn how to go out and have the right questions to ask, which is the prompt revolution that we see going on right now. But if you think about what's happening in security, and there's a few areas which are, firstly 3,500 hundred vendors in this space. On average, most companies have 50 to 70 vendors in security. Not a single vendor owns more than 10% of the market. You take out a couple vendors, no one owns more than 5%. Highly fractured market. That's a problem. Because it's untenable for companies to go out and manage 70 policy engines. And going out and making sure that there's no contention. So as you move forward, one of the things that Chat GPT will be really good for is it's fundamentally going to change user experiences, for how software gets built. Because rather than it being point and click, it's going to be I'm going to provide an instruction and it's going to tell me what to do in natural language. Imagine Dave, when you joined a company if someone said, hey give Dave all the permissions that he needs as a direct report to Chuck. And instantly you would get all of the permissions. And it would actually show up in a screen that says, do you approve? And if you hit approve, you're done. The interfaces of the future will get more natural language kind of dominated. The other area that you'll see is the sophistication of attacks and the surface area of attacks is increasing quite exponentially. And we no longer can handle this with human scale. You have to handle it in machine scale. So detecting breaches, making sure that you can effectively and quickly respond in real time to the breaches, and remediate those breaches, is all going to happen through AI and machine learning. >> So, I agree. I mean, just like Amazon turned the data center into an API, I think we're now going to be interfacing with technology through human language. >> That's right. >> I mean I think it's a really interesting point you're making. Now, from a security standpoint as well, I mean, the state of the art today in my email is be careful, this person's outside your organization. I'm like, yeah I know. So it's a good warning sign, but it's really not automated in any way. So two part question. One is, can AI help? You know, with the phishing, obviously it can, but the bad guys have AI too. >> Yeah. >> And they're probably going to be smarter than I am about using it. >> Yeah, and by the way, Talos is our kind of threat detection and response >> Yes. >> kind of engine. And, they had a great kind of piece that came out recently where they talked about this, where Chat GPT, there is going to be more sophistication of the folks that are the bad actors, the adversaries in using Chat GPT to have more sophisticated phishing attacks. But today it's not something that is fundamentally something that we can't handle just yet. But you still need to do the basic hygiene. That's more important. Over time, what you will see is attacks will get more bespoke. And in order, they'll get more sophisticated. And, you will need to have better mechanisms to know that this was actually not a human being writing that to you, but it was actually a machine pretending to be a human being writing something to you. And that you'll have to be more clever about it. >> Oh interesting. >> And so, you will see attacks get more bespoke and we'll have to get smarter and smarter about it. >> The other thing I wanted to ask you before we close is you're right on. I mean you take the top security vendors and they got a single digit market share. And it's like it's untenable for organizations, just far too many tools. We have a partner at ETR, they do quarterly survey research and one of the things they do is survey emerging technology companies. And when we look at in the security sector just the number of emerging technology companies that are focused on cybersecurity is as many as there are out there already. And so, there's got to be consolidation. Maybe that's through M & A. I mean, what do you think happens? Are company's going to go out of business? There's going to be a lot of M & A? You've seen a lot of companies go private. You know, the big PE companies are sucking up all these security companies and may be ready to spit 'em out and go back public. How do you see the landscape? You guys are obviously an inquisitive company. What are your thoughts on that? >> I think there will be a little bit of everything. But the biggest change that you'll see is a shift that's going to happen with an integrated platform, rather than point solution vendors. So what's going to happen is the market's going to consolidate towards very few, less than a half a dozen, integrated platforms. We believe Cisco is going to be one. Microsoft will be one. There'll be others over there. But these, this platform will essentially be able to provide a unified kind of policy engine across a multitude of different services to protect multiple different entities within the organization. And, what we found is that platform will also be something that'll provide, through APIs, the ability for third parties to be able to get their technology incorporated in, and their telemetry ingested. So we certainly intend to do that. We don't believe, we are not arrogant enough to think that every single new innovation will be built by us. When there's someone else who has built that, we want to make sure that we can ingest that telemetry as well, because the real enemy is not the competitor. The real enemy is the adversary. And we all have to get together, so that we can keep humanity safe. >> Do you think there's been enough collaboration in the industry? I mean- >> Jeetu: Not nearly enough. >> We've seen companies, security companies try to monetize private data before, instead of maybe sharing it with competitors. And so I think the industry can do better there. >> Well I think the industry can do better. And we have this concept called the security poverty line. And the security poverty line is the companies that fall below the security poverty line don't have either the influence or the resources or the know how to keep themselves safe. And when they go unsafe, everyone else that communicates with them also gets that exposure. So it is in our collective interest for all of us to make sure that we come together. And, even if Palo Alto might be a competitor of ours, we want to make sure that we invite them to say, let's make sure that we can actually exchange telemetry between our companies. And we'll continue to do that with as many companies that are out there, because actually that's better for the market, that's better for the world. >> The enemy of the enemy is my friend, kind of thing. >> That's right. >> Now, as it relates to, because you're right. I mean I, I see companies coming up, oh, we do IOT security. I'm like, okay, but what about cloud security? Do you that too? Oh no, that's somebody else. But, so that's another stove pipe. >> That's a huge, huge advantage of coming with someone like Cisco. Because we actually have the entire spectrum, and the broadest portfolio in the industry of anyone else. From the user, to the device, to the network, to the applications, we provide the entire end-to-end story for security, which then has the least amount of cracks that you can actually go out and penetrate through. The biggest challenges that happen in security is you've got way too many policy engines with way too much contention between the policies from these different systems. And eventually there's a collision course. Whereas with us, you've actually got a broad portfolio that operates as one platform. >> We were talking about the cloud guys earlier. You mentioned Microsoft. They're obviously a big competitor in the security space. >> Jeetu: But also a great partner. >> So that's right. To my opinion, the cloud has been awesome as a first line of defense if you will. But the shared responsibility model it's different for each cloud, right? So, do you feel that those guys are working together or will work together to actually improve? 'Cause I don't see that yet. >> Yeah so if you think about, this is where we feel like we have a structural advantage in this, because what does a company like Cisco become in the future? I think as the world goes multicloud and hybrid cloud, what'll end up happening is there needs to be a way, today all the CSPs provide everything from storage to computer network, to security, in their own stack. If we can abstract networking and security above them, so that we can acquire and steer any and all traffic with our service providers and steer it to any of those CSPs, and make sure that the security policy transcends those clouds, you would actually be able to have the public cloud economics without the public cloud lock-in. >> That's what we call super cloud Jeetu. It's securing the super cloud. >> Yeah. >> Hey, thanks so much for coming to theCUBE. >> Thank you for having me. >> Really appreciate you coming on our editorial program. >> Such a pleasure. >> All right, great to see you again. >> Cheers. >> All right, keep it right there. Dave Vellante with David Nicholson and Lisa Martin. We'll be back, right after this short break from MWC '23 live, in the Fira, in Barcelona. (bright music resumes) (music fades out)
SUMMARY :
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Srinivas Mukkamala & David Shepherd | Ivanti
(gentle music) >> Announcer: "theCube's" live coverage is made possible by funding from Dell Technologies, creating technologies that drive human progress. (upbeat music) (logo whooshing) >> Hey, everyone, welcome back to "theCube's" coverage of day one, MWC23 live from Barcelona, Lisa Martin here with Dave Vellante. Dave, we've got some great conversations so far This is the biggest, most packed show I've been to in years. About 80,000 people here so far. >> Yeah, down from its peak of 108, but still pretty good. You know, a lot of folks from China come to this show, but with the COVID situation in China, that's impacted the attendance, but still quite amazing. >> Amazing for sure. We're going to be talking about trends and mobility, and all sorts of great things. We have a couple of guests joining us for the first time on "theCUBE." Please welcome Dr. Srinivas Mukkamala or Sri, chief product officer at Ivanti. And Dave Shepherd, VP Ivanti. Guys, welcome to "theCUBE." Great to have you here. >> Thank you. >> So, day one of the conference, Sri, we'll go to you first. Talk about some of the trends that you're seeing in mobility. Obviously, the conference renamed from Mobile World Congress to MWC mobility being part of it, but what are some of the big trends? >> It's interesting, right? I mean, I was catching up with Dave. The first thing is from the keynotes, it took 45 minutes to talk about security. I mean, it's quite interesting when you look at the shore floor. We're talking about Edge, we're talking about 5G, the whole evolution. And there's also the concept of are we going into the Cloud? Are we coming back from the Cloud, back to the Edge? They're really two different things. Edge is all decentralized while you recompute. And one thing I observed here is they're talking about near real-time reality. When you look at automobiles, when you look at medical, when you look at robotics, you can't have things processed in the Cloud. It'll be too late. Because you got to make millisecond-based stations. That's a big trend for me. When I look at staff... Okay, the compute it takes to process in the Cloud versus what needs to happen on-prem, on device, is going to revolutionize the way we think about mobility. >> Revolutionize. David, what are some of the things that you're saying? Do you concur? >> Yeah, 100%. I mean, look, just reading some of the press recently, they're predicting 22 billion IoT devices by 2024. Everything Sri just talked about there. It's growing exponentially. You know, problems we have today are a snapshot. We're probably in the slowest place we are today. Everything's just going to get faster and faster and faster. So it's a, yeah, 100% concur with that. >> You know, Sri, on your point, so Jose Maria Alvarez, the CEO of Telefonica, said there are three pillars of the future of telco, low latency, programmable networks, and Cloud and Edge. So, as to your point, Cloud and low latency haven't gone hand in hand. But the Cloud guys are saying, "All right, we're going to bring the Cloud to the Edge." That's sort of an interesting dynamic. We're going to bypass them. We heard somebody, another speaker say, "You know, Cloud can't do it alone." You know? (chuckles) And so, it's like these worlds need each other in a way, don't they? >> Definitely right. So that's a fantastic way to look at it. The Cloud guys can say, "We're going to come closer to where the computer is." And if you really take a look at it with data localization, where are we going to put the Cloud in, right? I mean, so the data sovereignty becomes a very interesting thing. The localization becomes a very interesting thing. And when it comes to security, it gets completely different. I mean, we talked about moving everything to a centralized compute, really have massive processing, and give you the addition back wherever you are. Whereas when you're localized, I have to process everything within the local environment. So there's already a conflict right there. How are we going to address that? >> Yeah. So another statement, I think, it was the CEO of Ericsson, he was kind of talking about how the OTT guys have heard, "We can't let that happen again. And we're going to find new ways to charge for the network." Basically, he's talking about monetizing the API access. But I'm interested in what you're hearing from customers, right? 'Cause our mindset is, what value you're going to give to customers that they're going to pay for, versus, "I got this data I'm going to charge developers for." But what are you hearing from customers? >> It's amazing, Dave, the way you're looking at it, right? So if we take a look at what we were used to perpetual, and we said we're going to move to a subscription, right? I mean, everybody talks about subscription economy. Telcos on the other hand, had subscription economy for a long time, right? They were always based on usage, right? It's a usage economy. But today, we are basically realizing on compute. We haven't even started charging for compute. If you go to AWS, go to Azure, go to GCP, they still don't quite charge you for actual compute, right? It's kind of, they're still leaning on it. So think about API-based, we're going to break the bank. What people don't realize is, we do millions of API calls for any high transaction environment. A consumer can't afford that. What people don't realize is... I don't know how you're going to monetize. Even if you charge a cent a call, that is still going to be hundreds and thousands of dollars a day. And that's where, if you look at what you call low-code no-code motion? You see a plethora of companies being built on that. They're saying, "Hey, you don't have to write code. I'll give you authentication as a service. What that means is, Every single time you call my API to authenticate a user, I'm going to charge you." So just imagine how many times we authenticate on a single day. You're talking a few dozen times. And if I have to pay every single time I authenticate... >> Real friction in the marketplace, David. >> Yeah, and I tell you what. It's a big topic, right? And it's a topic that we haven't had to deal with at the Edge before, and we hear it probably daily really, complexity. The complexity's growing all the time. That means that we need to start to get insight, visibility. You know? I think a part of... Something that came out of the EU actually this week, stated, you know, there's a cyber attack every 11 seconds. That's fast, right? 2016, that was 40 seconds. So actually that speed I talked about earlier, everything Sri says that's coming down to the Edge, we want to embrace the Edge and that is the way we're going to move. But customers are mindful of the complexity that's involved in that. And that, you know, lens thought to how are we going to deal with those complexities. >> I was just going to ask you, how are you planning to deal with those complexities? You mentioned one ransomware attack every 11 seconds. That's down considerably from just a few years ago. Ransomware is a household word. It's no longer, "Are we going to get attacked?" It's when, it's to what extent, it's how much. So how is Ivanti helping customers deal with some of the complexities, and the changes in the security landscape? >> Yeah. Shall I start on that one first? Yeah, look, we want to give all our customers and perspective customers full visibility of their environment. You know, devices that are attached to the environment. Where are they? What are they doing? How often are we going to look for those devices? Not only when we find those devices. What applications are they running? Are those applications secure? How are we going to manage those applications moving forward? And overall, wrapping it round, what kind of service are we going to do? What processes are we going to put in place? To Sri's point, the low-code no-code angle. How do we build processes that protect our organization? But probably a point where I'll pass to Sri in a moment is how do we add a level of automation to that? How do we add a level of intelligence that doesn't always require a human to be fixing or remediating a problem? >> To Sri, you mentioned... You're right, the keynote, it took 45 minutes before it even mentioned security. And I suppose it's because they've historically, had this hardened stack. Everything's controlled and it's a safe environment. And now that's changing. So what would you add? >> You know, great point, right? If you look at telcos, they're used to a perimeter-based network. >> Yep. >> I mean, that's what we are. Boxed, we knew our perimeter. Today, our perimeter is extended to our home, everywhere work, right? >> Yeah- >> We don't have a definition of a perimeter. Your browser is the new perimeter. And a good example, segueing to that, what we have seen is horizontal-based security. What we haven't seen is verticalization, especially in mobile. We haven't seen vertical mobile security solutions, right? Yes, you hear a little bit about automobile, you hear a little bit about healthcare, but what we haven't seen is, what about food sector? What about the frontline in food? What about supply chain? What security are we really doing? And I'll give you a simple example. You brought up ransomware. Last night, Dole was attacked with ransomware. We have seen the beef producer colonial pipeline. Now, if we have seen agritech being hit, what does it mean? We are starting to hit humanity. If you can't really put food on the table, you're starting to really disrupt the supply chain, right? In a massive way. So you got to start thinking about that. Why is Dole related to mobility? Think about that. They don't carry service and computers. What they carry is mobile devices. that's where the supply chain works. And then that's where you have to start thinking about it. And the evolution of ransomware, rather than a single-trick pony, you see them using multiple vulnerabilities. And Pegasus was the best example. Spyware across all politicians, right? And CEOs. It is six or seven vulnerabilities put together that actually was constructed to do an attack. >> Yeah. How does AI kind of change this? Where does it fit in? The attackers are going to have AI, but we could use AI to defend. But attackers are always ahead, right? (chuckles) So what's your... Do you have a point of view on that? 'Cause everybody's crazy about ChatGPT, right? The banks have all banned it. Certain universities in the United States have banned it. Another one's forcing his students to learn how to use ChatGPT to prompt it. It's all over the place. You have a point of view on this? >> So definitely, Dave, it's a great point. First, we all have to have our own generative AI. I mean, I look at it as your digital assistant, right? So when you had calculators, you can't function without a calculator today. It's not harmful. It's not going to take you away from doing multiplication, right? So we'll still teach arithmetic in school. You'll still use your calculator. So to me, AI will become an integral part. That's one beautiful thing I've seen on the short floor. Every little thing there is a AI-based solution I've seen, right? So ChatGPT is well played from multiple perspective. I would rather up level it and say, generated AI is the way to go. So there are three things. There is human intense triaging, where humans keep doing easy work, minimal work. You can use ML and AI to do that. There is human designing that you need to do. That's when you need to use AI. >> But, I would say this, in the Enterprise, that the quality of the AI has to be better than what we've seen so far out of ChatGPT, even though I love ChatGPT, it's amazing. But what we've seen from being... It's got to be... Is it true that... Don't you think it has to be cleaner, more accurate? It can't make up stuff. If I'm going to be automating my network with AI. >> I'll answer that question. It comes down to three fundamentals. The reason ChatGPT is giving addresses, it's not trained on the latest data. So for any AI and ML method, you got to look at three things. It's your data, it's your domain expertise, who is training it, and your data model. In ChatGPT, it's older data, it's biased to the people that trained it, right? >> Mm-hmm. >> And then, the data model is it's going to spit out what it's trained on. That's a precursor of any GPT, right? It's pre-trained transformation. >> So if we narrow that, right? Train it better for the specific use case, that AI has huge potential. >> You flip that to what the Enterprise customers talk about to us is, insight is invaluable. >> Right. >> But then too much insight too quickly all the time means we go remediation crazy. So we haven't got enough humans to be fixing all the problems. Sri's point with the ChatGPT data, some of that data we are looking at there could be old. So we're trying to triage something that may still be an issue, but it might have been superseded by something else as well. So that's my overriding when I'm talking to customers and we talk ChatGPT, it's in the news all the time. It's very topical. >> It's fun. >> It is. I even said to my 13-year-old son yesterday, your homework's out a date. 'Cause I knew he was doing some summary stuff on ChatGPT. So a little wind up that's out of date just to make that emphasis around the model. And that's where we, with our Neurons platform Ivanti, that's what we want to give the customers all the time, which is the real-time snapshot. So they can make a priority or a decision based on what that information is telling them. >> And we've kind of learned, I think, over the last couple of years, that access to real-time data, real-time AI, is no longer nice to have. It's a massive competitive advantage for organizations, but it's going to enable the on-demand, everything that we expect in our consumer lives, in our business lives. This is going to be table stakes for organizations, I think, in every industry going forward. >> Yeah. >> But assumes 5G, right? Is going to actually happen and somebody's going to- >> Going to absolutely. >> Somebody's going to make some money off it at some point. When are they going to make money off of 5G, do you think? (all laughing) >> No. And then you asked a very good question, Dave. I want to answer that question. Will bad guys use AI? >> Yeah. Yeah. >> Offensive AI is a very big thing. We have to pay attention to it. It's got to create an asymmetric war. If you look at the president of the United States, he said, "If somebody's going to attack us on cyber, we are going to retaliate." For the first time, US is willing to launch a cyber war. What that really means is, we're going to use AI for offensive reasons as well. And we as citizens have to pay attention to that. And that's where I'm worried about, right? AI bias, whether it's data, or domain expertise, or algorithmic bias, is going to be a big thing. And offensive AI is something everybody have to pay attention to. >> To your point, Sri, earlier about critical infrastructure getting hacked, I had this conversation with Dr. Robert Gates several years ago, and I said, "Yeah, but don't we have the best offensive, you know, technology in cyber?" And he said, "Yeah, but we got the most to lose too." >> Yeah, 100%. >> We're the wealthiest nation of the United States. The wealthiest is. So you got to be careful. But to your point, the president of the United States saying, "We'll retaliate," right? Not necessarily start the war, but who started it? >> But that's the thing, right? Attribution is the hardest part. And then you talked about a very interesting thing, rich nations, right? There's emerging nations. There are nations left behind. One thing I've seen on the show floor today is, digital inequality. Digital poverty is a big thing. While we have this amazing technology, 90% of the world doesn't have access to this. >> Right. >> What we have done is we have created an inequality across, and especially in mobility and cyber, if this technology doesn't reach to the last mile, which is emerging nations, I think we are creating a crater back again and putting societies a few miles back. >> And at much greater risk. >> 100%, right? >> Yeah. >> Because those are the guys. In cyber, all you need is a laptop and a brain to attack. >> Yeah. Yeah. >> If I don't have it, that's where the civil war is going to start again. >> Yeah. What are some of the things in our last minute or so, guys, David, we'll start with you and then Sri go to you, that you're looking forward to at this MWC? The theme is velocity. We're talking about so much transformation and evolution in the telecom industry. What are you excited to hear and learn in the next couple of days? >> Just getting a complete picture. One is actually being out after the last couple of years, so you learn a lot. But just walking around and seeing, from my perspective, some vendor names that I haven't seen before, but seeing what they're doing and bringing to the market. But I think goes back to the point made earlier around APIs and integration. Everybody's talking about how can we kind of do this together in a way. So integrations, those smart things is what I'm kind of looking for as well, and how we plug into that as well. >> Excellent, and Sri? >> So for us, there is a lot to offer, right? So while I'm enjoying what I'm seeing here, I'm seeing at an opportunity. We have an amazing portfolio of what we can do. We are into mobile device management. We are the last (indistinct) company. When people find problems, somebody has to go remediators. We are the world's largest patch management company. And what I'm finding is, yes, all these people are embedding software, pumping it like nobody's business. As you find one ability, somebody has to go fix them, and we want to be the (indistinct) company. We had the last smile. And I find an amazing opportunity, not only we can do device management, but do mobile threat defense and give them a risk prioritization on what needs to be remediated, and manage all that in our ITSM. So I look at this as an amazing, amazing opportunity. >> Right. >> Which is exponential than what I've seen before. >> So last question then. Speaking of opportunities, Sri, for you, what are some of the things that customers can go to? Obviously, you guys talk to customers all the time. In terms of learning what Ivanti is going to enable them to do, to take advantage of these opportunities. Any webinars, any events coming up that we want people to know about? >> Absolutely, ivanti.com is the best place to go because we keep everything there. Of course, "theCUBE" interview. >> Of course. >> You should definitely watch that. (all laughing) No. So we have quite a few industry events we do. And especially there's a lot of learning. And we just raised the ransomware report that actually talks about ransomware from a global index perspective. So one thing what we have done is, rather than just looking at vulnerabilities, we showed them the weaknesses that led to the vulnerabilities, and how attackers are using them. And we even talked about DHS, how behind they are in disseminating the information and how it's actually being used by nation states. >> Wow. >> And we did cover mobility as a part of that as well. So there's a quite a bit we did in our report and it actually came out very well. >> I have to check that out. Ransomware is such a fascinating topic. Guys, thank you so much for joining Dave and me on the program today, sharing what's going on at Ivanti, the changes that you're seeing in mobile, and the opportunities that are there for your customers. We appreciate your time. >> Thank you >> Thank you. >> Yes. Thanks, guys. >> Thanks, guys. >> For our guests and for Dave Vellante, I'm Lisa Martin. You're watching "theCUBE" live from MWC23 in Barcelona. As you know, "theCUBE" is the leader in live tech coverage. Dave and I will be right back with our next guest. (gentle upbeat music)
SUMMARY :
that drive human progress. This is the biggest, most packed from China come to this show, Great to have you here. Talk about some of the trends is going to revolutionize the Do you concur? Everything's just going to get bring the Cloud to the Edge." I have to process everything that they're going to pay for, And if I have to pay every the marketplace, David. to how are we going to deal going to get attacked?" of automation to that? So what would you add? If you look at telcos, extended to our home, And a good example, segueing to that, The attackers are going to have AI, It's not going to take you away the AI has to be better it's biased to the people the data model is it's going to So if we narrow that, right? You flip that to what to be fixing all the problems. I even said to my This is going to be table stakes When are they going to make No. And then you asked We have to pay attention to it. got the most to lose too." But to your point, have access to this. reach to the last mile, laptop and a brain to attack. is going to start again. What are some of the things in But I think goes back to a lot to offer, right? than what I've seen before. to customers all the time. is the best place to go that led to the vulnerabilities, And we did cover mobility I have to check that out. As you know, "theCUBE" is the
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Keynote Analysis with Sarbjeet Johal & Chris Lewis | MWC Barcelona 2023
(upbeat instrumental music) >> TheCUBE's live coverage is made possible by funding from Dell Technologies, creating technologies that drive human progress. (uplifting instrumental music) >> Hey everyone. Welcome to Barcelona, Spain. It's theCUBE Live at MWC '23. I'm Lisa Martin, Dave Vellante, our co-founder, our co-CEO of theCUBE, you know him, you love him. He's here as my co-host. Dave, we have a great couple of guests here to break down day one keynote. Lots of meat. I can't wait to be part of this conversation. Chris Lewis joins us, the founder and MD of Lewis Insight. And Sarbjeet Johal, one of you know him as well. He's a Cube contributor, cloud architect. Guys, welcome to the program. Thank you so much for joining Dave and me today. >> Lovely to be here. >> Thank you. >> Chris, I want to start with you. You have covered all aspects of global telecoms industries over 30 years working as an analyst. Talk about the evolution of the telecom industry that you've witnessed, and what were some of the things you heard in the keynote that excite you about the direction it's going? >> Well, as ever, MWC, there's no lack of glitz and glamour, but it's the underlying issues of the industry that are really at stake here. There's not a lot of new revenue coming into the telecom providers, but there's a lot of adjustment, readjustment of the underlying operational environment. And also, really importantly, what came out of the keynotes is the willingness and the necessity to really engage with the API community, with the developer community, people who traditionally, telecoms would never have even touched. So they're sorting out their own house, they're cleaning their own stables, getting the cost base down, but they're also now realizing they've got to engage with all the other parties. There's a lot of cloud providers here, there's a lot of other people from outside so they're realizing they cannot do it all themselves. It's quite a tough lesson for a very conservative, inward looking industry, right? So should we be spending all this money and all this glitz and glamour of MWC and all be here, or should would be out there really building for the future and making sure the services are right for yours and my needs in a business and personal lives? So a lot of new changes, a lot of realization of what's going on outside, but underlying it, we've just got to get this right this time. >> And it feels like that monetization is front and center. You mentioned developers, we've got to work with developers, but I'm hearing the latest keynote from the Ericsson CEOs, we're going to monetize through those APIs, we're going to charge the developers. I mean, first of all, Chris, am I getting that right? And Sarbjeet, as somebody who's close to the developer community, is that the right way to build bridges? But Chris, are we getting that right? >> Well, let's take the first steps first. So, Ericsson, of course, acquired Vonage, which is a massive API business so they want to make money. They expect to make money by bringing that into the mainstream telecom community. Now, whether it's the developers who pay for it, or let's face it, we are moving into a situation as the telco moves into a techco model where the techco means they're going to be selling bits of the technology to developer guys and to other application developers. So when he says he needs to charge other people for it, it's the way in which people reach in and will take going through those open APIs like the open gateway announced today, but also the way they'll reach in and take things like network slicing. So we're opening up the telecom community, the treasure chest, if you like, where developers' applications and other third parties can come in and take those chunks of technology and build them into their services. This is a complete change from the old telecom industry where everybody used to come and you say, "all right, this is my product, you've got to buy it and you're going to pay me a lot of money for it." So we are looking at a more flexible environment where the other parties can take those chunks. And we know we want collectivity built into our financial applications, into our government applications, everything, into the future of the metaverse, whatever it may be. But it requires that change in attitude of the telcos. And they do need more money 'cause they've said, the baseline of revenue is pretty static, there's not a lot of growth in there so they're looking for new revenues. It's in a B2B2X time model. And it's probably the middle man's going to pay for it rather than the customer. >> But the techco model, Sarbjeet, it looks like the telcos are getting their money on their way in. The techco company model's to get them on their way out like the app store. Go build something of value, build some kind of app or data product, and then when it takes off, we'll take a piece of the action. What are your thoughts from a developer perspective about how the telcos are approaching it? >> Yeah, I think before we came here, like I said, I did some tweets on this, that we talk about all kind of developers, like there's game developers and front end, back end, and they're all talking about like what they're building on top of cloud, but nowhere you will hear the term "telco developer," there's no API from telcos given to the developers to build IoT solutions on top of it because telco as an IoT, I think is a good sort of hand in hand there. And edge computing as well. The glimmer of hope, if you will, for telcos is the edge computing, I believe. And even in edge, I predicted, I said that many times that cloud players will dominate that market with the private 5G. You know that story, right? >> We're going to talk about that. (laughs) >> The key is this, that if you see in general where the population lives, in metros, right? That's where the world population is like flocking to and we have cloud providers covering the local zones with local like heavy duty presence from the big cloud providers and then these telcos are getting sidetracked by that. Even the V2X in cars moving the autonomous cars and all that, even in that space, telcos are getting sidetracked in many ways. What telcos have to do is to join the forces, build some standards, if not standards, some consortium sort of. They're trying to do that with the open gateway here, they have only eight APIs. And it's 2023, eight APIs is nothing, right? (laughs) So they should have started this 10 years back, I think. So, yeah, I think to entice the developers, developers need the employability, we need to train them, we need to show them some light that hey, you can build a lot on top of it. If you tell developers they can develop two things or five things, nobody will come. >> So, Chris, the cloud will dominate the edge. So A, do you buy it? B, the telcos obviously are acting like that might happen. >> Do you know I love people when they've got their heads in the clouds. (all laugh) And you're right in so many ways, but if you flip it around and think about how the customers think about this, business customers and consumers, they don't care about all this background shenanigans going on, do they? >> Lisa: No. >> So I think one of the problems we have is that this is a new territory and whether you call it the edge or whatever you call it, what we need there is we need connectivity, we need security, we need storage, we need compute, we need analytics, and we need applications. And are any of those more important than the others? It's the collective that actually drives the real value there. So we need all those things together. And of course, the people who represented at this show, whether it's the cloud guys, the telcos, the Nokia, the Ericssons of this world, they all own little bits of that. So that's why they're all talking partnerships because they need the combination, they cannot do it on their own. The cloud guys can't do it on their own. >> Well, the cloud guys own all of those things that you just talked about though. (all laugh) >> Well, they don't own the last bit of connectivity, do they? They don't own the access. >> Right, exactly. That's the one thing they don't own. So, okay, we're back to pipes, right? We're back to charging for connectivity- >> Pipes are very valuable things, right? >> Yeah, for sure. >> Never underestimate pipes. I don't know about where you live, plumbers make a lot of money where I live- >> I don't underestimate them but I'm saying can the telcos charge for more than that or are the cloud guys going to mop up the storage, the analytics, the compute, and the apps? >> They may mop it up, but I think what the telcos are doing and we've seen a lot of it here already, is they are working with all those major cloud guys already. So is it an unequal relationship? The cloud guys are global, massive global scale, the telcos are fundamentally national operators. >> Yep. >> Some have a little bit of regional, nobody has global scale. So who stitches it all together? >> Dave: Keep your friends close and your enemies closer. >> Absolutely. >> I know that saying never gets old. It's true. Well, Sarbjeet, one of the things that you tweeted about, I didn't get to see the keynote but I was looking at your tweets. 46% of telcos think they won't make it to the next decade. That's a big number. Did that surprise you? >> No, actually it didn't surprise me because the competition is like closing in on them and the telcos are competing with telcos as well and the telcos are competing with cloud providers on the other side, right? So the smaller ones are getting squeezed. It's the bigger players, they can hook up the newer platforms, I think they will survive. It's like that part is like any other industry, if you will. But the key is here, I think why the pain points were sort of described on the main stage is that they're crying out loud to tell the big tech cloud providers that "hey, you pay your fair share," like we talked, right? You are not paying, you're generating so much content which reverses our networks and you are not paying for it. So they are not able to recoup the cost of laying down their networks. By the way, one thing actually I want to mention is that they said the cloud needs earth. The cloud and earth, it's like there's no physical need to cloud, you know that, right? So like, I think it's the other way around. I think the earth needs the cloud because I'm a cloud guy. (Sarbjeet and Lisa laugh) >> I think you need each other, right? >> I think so too. >> They need each other. When they said cloud needs earth, right? I think they're still in denial that the cloud is a big force. They have to partner. When you can't compete with somebody, what do you do? Partner with them. >> Chris, this is your world. Are they in denial? >> No, I think they're waking up to the pragmatism of the situation. >> Yeah. >> They're building... As we said, most of the telcos, you find have relationships with the cloud guys, I think you're right about the industry. I mean, do you think what's happened since US was '96, the big telecom act when we started breaking up all the big telcos and we had lots of competition came in, we're seeing the signs that we might start to aggregate them back up together again. So it's been an interesting experiment for like 30 years, hasn't it too? >> It made the US less competitive, I would argue, but carry on. >> Yes, I think it's true. And Europe is maybe too competitive and therefore, it's not driven the investment needed. And by the way, it's not just mobile, it's fixed as well. You saw the Orange CEO was talking about the her investment and the massive fiber investments way ahead of many other countries, way ahead of the UK or Germany. We need that fiber in the ground to carry all your cloud traffic to do this. So there is a scale issue, there is a competition issue, but the telcos are very much aware of it. They need the cloud, by the way, to improve their operational environments as well, to change that whole old IT environment to deliver you and I better service. So no, it absolutely is changing. And they're getting scale, but they're fundamentally offering the basic product, you call it pipes, I'll just say they're offering broadband to you and I and the business community. But they're stepping on dangerous ground, I think, when saying they want to charge the over the top guys for all the traffic they use. Those over the top guys now build a lot of the global networks, the backbone submarine network. They're putting a lot of money into it, and by giving us endless data for our individual usage, that cat is out the bag, I think to a large extent. >> Yeah. And Orange CEO basically said that, that they're not paying their fair share. I'm for net neutrality but the governments are going to have to fund this unless you let us charge the OTT. >> Well, I mean, we could of course renationalize. Where would that take us? (Dave laughs) That would make MWC very interesting next year, wouldn't it? To renationalize it. So, no, I think you've got to be careful what we wish for here. Creating the absolute clear product that is required to underpin all of these activities, whether it's IoT or whether it's cloud delivery or whether it's just our own communication stuff, delivering that absolutely ubiquitously high quality for business and for consumer is what we have to do. And telcos have been too conservative in the past. >> I think they need to get together and create standards around... I think they have a big opportunity. We know that the clouds are being built in silos, right? So there's Azure stack, there's AWS and there's Google. And those are three main ones and a few others, right? So that we are fighting... On the cloud side, what we are fighting is the multicloud. How do we consume that multicloud without having standards? So if these people get together and create some standards around IoT and edge computing sort of area, people will flock to them to say, "we will use you guys, your API, we don't care behind the scenes if you use AWS or Google Cloud or Azure, we will come to you." So market, actually is looking for that solution. I think it's an opportunity for these guys, for telcos. But the problem with telcos is they're nationalized, as you said Chris versus the cloud guys are still kind of national in a way, but they're global corporations. And some of the telcos are global corporations as well, BT covers so many countries and TD covers so many... DT is in US as well, so they're all over the place. >> But you know what's interesting is that the TM forum, which is one of the industry associations, they've had an open digital architecture framework for quite some years now. Google had joined that some years ago, Azure in there, AWS just joined it a couple of weeks ago. So when people said this morning, why isn't AWS on the keynote? They don't like sharing the limelight, do they? But they're getting very much in bed with the telco. So I think you'll see the marriage. And in fact, there's a really interesting statement, if you look at the IoT you mentioned, Bosch and Nokia have been working together 'cause they said, the problem we've got, you've got a connectivity network on one hand, you've got the sensor network on the other hand, you're trying to merge them together, it's a nightmare. So we are finally seeing those sort of groups talking to each other. So I think the standards are coming, the cooperation is coming, partnerships are coming, but it means that the telco can't dominate the sector like it used to. It's got to play ball with everybody else. >> I think they have to work with the regulators as well to loosen the regulation. Or you said before we started this segment, you used Chris, the analogy of sports, right? In sports, when you're playing fiercely, you commit the fouls and then ask for ref to blow the whistle. You're now looking at the ref all the time. The telcos are looking at the ref all the time. >> Dave: Yeah, can I do this? Can I do that? Is this a fair move? >> They should be looking for the space in front of the opposition. >> Yeah, they should be just on attack mode and commit these fouls, if you will, and then ask for forgiveness then- >> What do you make of that AWS not you there- >> Well, Chris just made a great point that they don't like to share the limelight 'cause I thought it was very obvious that we had Google Cloud, we had Microsoft there on day one of this 80,000 person event. A lot of people back from COVID and they weren't there. But Chris, you brought up a great point that kind of made me think, maybe you're right. Maybe they're in the afternoon keynote, they want their own time- >> You think GSMA invited them? >> I imagine so. You'd have to ask GSMA. >> I would think so. >> Get Max on here and ask that. >> I'm going to ask them, I will. >> But no, and they don't like it because I think the misconception, by the way, is that everyone says, "oh, it's AWS, it's Google Cloud and it's Azure." They're not all the same business by any stretch of the imagination. AWS has been doing loads of great work, they've been launching private network stuff over the last couple of weeks. Really interesting. Google's been playing catch up. We know that they came in readily late to the market. And Azure, they've all got slightly different angles on it. So perhaps it just wasn't right for AWS and the way they wanted to pitch things so they don't have to be there, do they? >> That's a good point. >> But the industry needs them there, that's the number one cloud. >> Dave, they're there working with the industry. >> Yeah, of course. >> They don't have to be on the keynote stage. And in fact, you think about this show and you mentioned the 80,000 people, the activity going on around in all these massive areas they're in, it's fantastic. That's where the business is done. The business isn't done up on the keynote stage. >> That's why there's the glitz and the glamour, Chris. (all laugh) >> Yeah. It's not glitz, it's espresso. It's not glamour anymore, it's just espresso. >> We need the espresso. >> Yeah. >> I think another thing is that it's interesting how an average European sees the tech market and an average North American, especially you from US, you have to see the market. Here, people are more like process oriented and they want the rules of the road already established before they can take a step- >> Chris: That's because it's your pension in the North American- >> Exactly. So unions are there and the more employee rights and everything, you can't fire people easily here or in Germany or most of the Europe is like that with the exception of UK. >> Well, but it's like I said, that Silicone Valley gets their money on the way out, you know? And that's how they do it, that's how they think it. And they don't... They ask for forgiveness. I think the east coast is more close to Europe, but in the EU, highly regulated, really focused on lifetime employment, things like that. >> But Dave, the issue is the telecom industry is brilliant, right? We keep paying every month whatever we do with it. >> It's a great business, to your point- >> It's a brilliant business model. >> Dave: It's fantastic. >> So it's about then getting the structure right behind it. And you know, we've seen a lot of stratification where people are selling off towers, Orange haven't sold their towers off, they made a big point about that. Others are selling their towers off. Some people are selling off their underlying network, Telecom Italia talking about KKR buying the whole underlying network. It's like what do you want to be in control of? It's a great business. >> But that's why they complain so much is that they're having to sell their assets because of the onerous CapEx requirements, right? >> Yeah, they've had it good, right? And dare I say, perhaps they've not planned well enough for the future. >> They're trying to protect their past from the future. I mean, that's... >> Actually, look at the... Every "n" number of years, there's a new faster network. They have to dig the ground, they have to put the fiber, they have to put this. Now, there are so many booths showing 6G now, we are not even done with 5G yet, now the next 6G you know, like then- >> 10G's coming- >> 10G, that's a different market. (Dave laughs) >> Actually, they're bogged down by the innovation, I think. >> And the generational thing is really important because we're planning for 6G in all sorts of good ways but actually what we use in our daily lives, we've gone through the barrier, we've got enough to do that. So 4G gives us enough, the fiber in the ground or even old copper gives us enough. So the question is, what are we willing to pay for more than that basic connectivity? And the answer to your point, Dave, is not a lot, right? So therefore, that's why the emphasis is on the business market on that B2B and B2B2X. >> But we'll pay for Netflix all day long. >> All day long. (all laugh) >> The one thing Chris, I don't know, I want to know your viewpoints and we have talked in the past as well, there's absence of think tanks in tech, right? So we have think tanks on the foreign policy and economic policy in every country, and we have global think tanks, but tech is becoming a huge part of the economy, global economy as well as national economies, right? But we don't have think tanks on like policy around tech. For example, this 4G is good for a lot of use cases. Then 5G is good for smaller number of use cases. And then 6G will be like, fewer people need 6G for example. Why can't we have sort of those kind of entities dictating those kind of like, okay, is this a wiser way to go about it? >> Lina Khan wants to. She wants to break up big tech- >> You're too young to remember but the IT used to have a show every four years in Geneva, there were standards around there. So I think there are bodies. I think the balance of power obviously has gone from the telecom to the west coast to the IT markets. And it's changing the balance about, it moves more quickly, right? Telecoms has never moved quickly enough. I think there is hope by the way, that telecoms now that we are moving to more softwarized environment, and God forbid, we're moving into CICD in the telecom world, right? Which is a massive change, but I think there's hopes for it to change. The mentality is changing, the culture is changing, but to change those old structured organizations from the British telecom or the France telecom into the modern world, it's a hell of a long journey. It's not an overnight journey at all. >> Well, of course the theme of the event is velocity. >> Yeah, I know that. >> And it's been interesting sitting here with the three of you talking about from a historic perspective, how slow and molasseslike telecom has been. They don't have a choice anymore. As consumers, we have this expectation we're going to get anything we want on our mobile device, 24 by seven. We don't care about how the sausage is made, we just want the end result. So do you really think, and we're only on day one guys... And Chris we'll start with you. Is the theme really velocity? Is it disruption? Are they able to move faster? >> Actually, I think invisibility is the real answer. (Lisa laughs) We want communication to be invisible, right? >> Absolutely. >> We want it to work. When we switch our phones on, we want it to work and we want to... Well, they're not even phones anymore, are they really? I mean that's the... So no, velocity, we've got... There is momentum in the industry, there's no doubt about that. The cloud guys coming in, making telecoms think about the way they run their own business, where they meet, that collision point on the edges you talked about Sarbjeet. We do have velocity, we've got momentum. There's so many interested parties. The way I think of this is that the telecom industry used to be inward looking, just design its own technology and then expect everyone else to dance to our tune. We're now flipping that 180 degrees and we are now having to work with all the different outside forces shaping us. Whether it's devices, whether it's smart cities, governments, the hosting guys, the Equinoxis, all these things. So everyone wants a piece of this telecom world so we've got to make ourselves more open. That's why you get in a more open environment. >> But you did... I just want to bring back a point you made during COVID, which was when everybody switched to work from home, started using their landlines again, telcos had to respond and nothing broke. I mean, it was pretty amazing. >> Chris: It did a good job. >> It was kind of invisible. So, props to the telcos for making that happen. >> They did a great job. >> So it really did. Now, okay, what have you done for me lately? So now they've got to deal with the future and they're talking monetization. But to me, monetization is all about data and not necessarily just the network data. Yeah, they can sell that 'cause they own that but what kind of incremental value are they going to create for the consumers that... >> Yeah, actually that's a problem. I think the problem is that they have been strangled by the regulation for a long time and they cannot look at their data. It's a lot more similar to the FinTech world, right? I used to work at Visa. And then Visa, we did trillion dollars in transactions in '96. Like we moved so much money around, but we couldn't look at these things, right? So yeah, I think regulation is a problem that holds you back, it's the antithesis of velocity, it slows you down. >> But data means everything, doesn't it? I mean, it means everything and nothing. So I think the challenge here is what data do the telcos have that is useful, valuable to me, right? So in the home environment, the fact that my broadband provider says, oh, by the way, you've got 20 gadgets on that network and 20 on that one... That's great, tell me what's on there. I probably don't know what's taking all my valuable bandwidth up. So I think there's security wrapped around that, telling me the way I'm using it if I'm getting the best out of my service. >> You pay for that? >> No, I'm saying they don't do it yet. I think- >> But would you pay for that? >> I think I would, yeah. >> Would you pay a lot for that? I would expect it to be there as part of my dashboard for my monthly fee. They're already charging me enough. >> Well, that's fine, but you pay a lot more in North America than I do in Europe, right? >> Yeah, no, that's true. >> You're really overpaying over there, right? >> Way overpaying. >> So, actually everybody's looking at these devices, right? So this is a radio operated device basically, right? And then why couldn't they benefit from this? This is like we need to like double click on this like 10 times to find out why telcos failed to leverage this device, right? But I think the problem is their reliance on regulations and their being close to the national sort of governments and local bodies and authorities, right? And in some countries, these telcos are totally controlled in very authoritarian ways, right? It's not like open, like in the west, most of the west. Like the world is bigger than five, six countries and we know that, right? But we end up talking about the major economies most of the time. >> Dave: Always. >> Chris: We have a topic we want to hit on. >> We do have a topic. Our last topic, Chris, it's for you. You guys have done an amazing job for the last 25 minutes talking about the industry, where it's going, the evolution. But Chris, you're registered blind throughout your career. You're a leading user of assertive technologies. Talk about diversity, equity, inclusion, accessibility, some of the things you're doing there. >> Well, we should have had 25 minutes on that and five minutes on- (all laugh) >> Lisa: You'll have to come back. >> Really interesting. So I've been looking at it. You're quite right, I've been using accessible technology on my iPhone and on my laptop for 10, 20 years now. It's amazing. And what I'm trying to get across to the industry is to think about inclusive design from day one. When you're designing an app or you're designing a service, make sure you... And telecom's a great example. In fact, there's quite a lot of sign language around here this week. If you look at all the events written, good to see that coming in. Obviously, no use to me whatsoever, but good for the hearing impaired, which by the way is the biggest category of disability in the world. Biggest chunk is hearing impaired, then vision impaired, and then cognitive and then physical. And therefore, whenever you're designing any service, my call to arms to people is think about how that's going to be used and how a blind person might use it or how a deaf person or someone with physical issues or any cognitive issues might use it. And a great example, the GSMA and I have been talking about the app they use for getting into the venue here. I downloaded it. I got the app downloaded and I'm calling my guys going, where's my badge? And he said, "it's top left." And because I work with a screen reader, they hadn't tagged it properly so I couldn't actually open my badge on my own. Now, they changed it overnight so it worked this morning, which is fantastic work by Trevor and the team. But it's those things that if you don't build it in from scratch, you really frustrate a whole group of users. And if you think about it, people with disabilities are excluded from so many services if they can't see the screen or they can't hear it. But it's also the elderly community who don't find it easy to get access to things. Smart speakers have been a real blessing in that respect 'cause you can now talk to that thing and it starts talking back to you. And then there's the people who can't afford it so we need to come down market. This event is about launching these thousand dollars plus devices. Come on, we need below a hundred dollars devices to get to the real mass market and get the next billion people in and then to educate people how to use it. And I think to go back to your previous point, I think governments are starting to realize how important this is about building the community within the countries. You've got some massive projects like NEOM in Saudi Arabia. If you have a look at that, if you get a chance, a fantastic development in the desert where they're building a new city from scratch and they're building it so anyone and everyone can get access to it. So in the past, it was all done very much by individual disability. So I used to use some very expensive, clunky blind tech stuff. I'm now using mostly mainstream. But my call to answer to say is, make sure when you develop an app, it's accessible, anyone can use it, you can talk to it, you can get whatever access you need and it will make all of our lives better. So as we age and hearing starts to go and sight starts to go and dexterity starts to go, then those things become very useful for everybody. >> That's a great point and what a great champion they have in you. Chris, Sarbjeet, Dave, thank you so much for kicking things off, analyzing day one keynote, the ecosystem day, talking about what velocity actually means, where we really are. We're going to have to have you guys back 'cause as you know, we can keep going, but we are out of time. But thank you. >> Pleasure. >> We had a very spirited, lively conversation. >> Thanks, Dave. >> Thank you very much. >> For our guests and for Dave Vellante, I'm Lisa Martin, you're watching theCUBE live in Barcelona, Spain at MWC '23. We'll be back after a short break. See you soon. (uplifting instrumental music)
SUMMARY :
that drive human progress. the founder and MD of Lewis Insight. of the telecom industry and making sure the services are right is that the right way to build bridges? the treasure chest, if you like, But the techco model, Sarbjeet, is the edge computing, I believe. We're going to talk from the big cloud providers So, Chris, the cloud heads in the clouds. And of course, the people Well, the cloud guys They don't own the access. That's the one thing they don't own. I don't know about where you live, the telcos are fundamentally Some have a little bit of regional, Dave: Keep your friends Well, Sarbjeet, one of the and the telcos are competing that the cloud is a big force. Are they in denial? to the pragmatism of the situation. the big telecom act It made the US less We need that fiber in the ground but the governments are conservative in the past. We know that the clouds are but it means that the telco at the ref all the time. in front of the opposition. that we had Google Cloud, You'd have to ask GSMA. and the way they wanted to pitch things But the industry needs them there, Dave, they're there be on the keynote stage. glitz and the glamour, Chris. It's not glitz, it's espresso. sees the tech market and the more employee but in the EU, highly regulated, the issue is the telecom buying the whole underlying network. And dare I say, I mean, that's... now the next 6G you know, like then- 10G, that's a different market. down by the innovation, I think. And the answer to your point, (all laugh) on the foreign policy Lina Khan wants to. And it's changing the balance about, Well, of course the theme Is the theme really velocity? invisibility is the real answer. is that the telecom industry But you did... So, props to the telcos and not necessarily just the network data. it's the antithesis of So in the home environment, No, I'm saying they don't do it yet. Would you pay a lot for that? most of the time. topic we want to hit on. some of the things you're doing there. So in the past, We're going to have to have you guys back We had a very spirited, See you soon.
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theCUBE's New Analyst Talks Cloud & DevOps
(light music) >> Hi everybody. Welcome to this Cube Conversation. I'm really pleased to announce a collaboration with Rob Strechay. He's a guest cube analyst, and we'll be working together to extract the signal from the noise. Rob is a long-time product pro, working at a number of firms including AWS, HP, HPE, NetApp, Snowplow. I did a stint as an analyst at Enterprise Strategy Group. Rob, good to see you. Thanks for coming into our Marlboro Studios. >> Well, thank you for having me. It's always great to be here. >> I'm really excited about working with you. We've known each other for a long time. You've been in the Cube a bunch. You know, you're in between gigs, and I think we can have a lot of fun together. Covering events, covering trends. So. let's get into it. What's happening out there? We're sort of exited the isolation economy. Things were booming. Now, everybody's tapping the brakes. From your standpoint, what are you seeing out there? >> Yeah. I'm seeing that people are really looking how to get more out of their data. How they're bringing things together, how they're looking at the costs of Cloud, and understanding how are they building out their SaaS applications. And understanding that when they go in and actually start to use Cloud, it's not only just using the base services anymore. They're looking at, how do I use these platforms as a service? Some are easier than others, and they're trying to understand, how do I get more value out of that relationship with the Cloud? They're also consolidating the number of Clouds that they have, I would say to try to better optimize their spend, and getting better pricing for that matter. >> Are you seeing people unhook Clouds, or just reduce maybe certain Cloud activities and going maybe instead of 60/40 going 90/10? >> Correct. It's more like the 90/10 type of rule where they're starting to say, Hey I'm not going to get rid of Azure or AWS or Google. I'm going to move a portion of this over that I was using on this one service. Maybe I got a great two-year contract to start with on this platform as a service or a database as a service. I'm going to unhook from that and maybe go with an independent. Maybe with something like a Snowflake or a Databricks on top of another Cloud, so that I can consolidate down. But it also gives them more flexibility as well. >> In our last breaking analysis, Rob, we identified six factors that were reducing Cloud consumption. There were factors and customer tactics. And I want to get your take on this. So, some of the factors really, you got fewer mortgage originations. FinTech, obviously big Cloud user. Crypto, not as much activity there. Lower ad spending means less Cloud. And then one of 'em, which you kind of disagreed with was less, less analytics, you know, fewer... Less frequency of calculations. I'll come back to that. But then optimizing compute using Graviton or AMD instances moving to cheaper storage tiers. That of course makes sense. And then optimize pricing plans. Maybe going from On Demand, you know, to, you know, instead of pay by the drink, buy in volume. Okay. So, first of all, do those make sense to you with the exception? We'll come back and talk about the analytics piece. Is that what you're seeing from customers? >> Yeah, I think so. I think that was pretty much dead on with what I'm seeing from customers and the ones that I go out and talk to. A lot of times they're trying to really monetize their, you know, understand how their business utilizes these Clouds. And, where their spend is going in those Clouds. Can they use, you know, lower tiers of storage? Do they really need the best processors? Do they need to be using Intel or can they get away with AMD or Graviton 2 or 3? Or do they need to move in? And, I think when you look at all of these Clouds, they always have pricing curves that are arcs from the newest to the oldest stuff. And you can play games with that. And understanding how you can actually lower your costs by looking at maybe some of the older generation. Maybe your application was written 10 years ago. You don't necessarily have to be on the best, newest processor for that application per se. >> So last, I want to come back to this whole analytics piece. Last June, I think it was June, Dev Ittycheria, who's the-- I call him Dev. Spelled Dev, pronounced Dave. (chuckles softly) Same pronunciation, different spelling. Dev Ittycheria, CEO of Mongo, on the earnings call. He was getting, you know, hit. Things were starting to get a little less visible in terms of, you know, the outlook. And people were pushing him like... Because you're in the Cloud, is it easier to dial down? And he said, because we're the document database, we support transaction applications. We're less discretionary than say, analytics. Well on the Snowflake earnings call, that same month or the month after, they were all over Slootman and Scarpelli. Oh, the Mongo CEO said that they're less discretionary than analytics. And Snowflake was an interesting comment. They basically said, look, we're the Cloud. You can dial it up, you can dial it down, but the area under the curve over a period of time is going to be the same, because they get their customers to commit. What do you say? You disagreed with the notion that people are running their calculations less frequently. Is that because they're trying to do a better job of targeting customers in near real time? What are you seeing out there? >> Yeah, I think they're moving away from using people and more expensive marketing. Or, they're trying to figure out what's my Google ad spend, what's my Meta ad spend? And what they're trying to do is optimize that spend. So, what is the return on advertising, or the ROAS as they would say. And what they're looking to do is understand, okay, I have to collect these analytics that better understand where are these people coming from? How do they get to my site, to my store, to my whatever? And when they're using it, how do they they better move through that? What you're also seeing is that analytics is not only just for kind of the retail or financial services or things like that, but then they're also, you know, using that to make offers in those categories. When you move back to more, you know, take other companies that are building products and SaaS delivered products. They may actually go and use this analytics for making the product better. And one of the big reasons for that is maybe they're dialing back how many product managers they have. And they're looking to be more data driven about how they actually go and build the product out or enhance the product. So maybe they're, you know, an online video service and they want to understand why people are either using or not using the whiteboard inside the product. And they're collecting a lot of that product analytics in a big way so that they can go through that. And they're doing it in a constant manner. This first party type tracking within applications is growing rapidly by customers. >> So, let's talk about who wins in that. So, obviously the Cloud guys, AWS, Google and Azure. I want to come back and unpack that a little bit. Databricks and Snowflake, we reported on our last breaking analysis, it kind of on a collision course. You know, a couple years ago we were thinking, okay, AWS, Snowflake and Databricks, like perfect sandwich. And then of course they started to become more competitive. My sense is they still, you know, compliment each other in the field, right? But, you know, publicly, they've got bigger aspirations, they get big TAMs that they're going after. But it's interesting, the data shows that-- So, Snowflake was off the charts in terms of spending momentum and our EPR surveys. Our partner down in New York, they kind of came into line. They're both growing in terms of market presence. Databricks couldn't get to IPO. So, we don't have as much, you know, visibility on their financials. You know, Snowflake obviously highly transparent cause they're a public company. And then you got AWS, Google and Azure. And it seems like AWS appears to be more partner friendly. Microsoft, you know, depends on what market you're in. And Google wants to sell BigQuery. >> Yeah. >> So, what are you seeing in the public Cloud from a data platform perspective? >> Yeah. I think that was pretty astute in what you were talking about there, because I think of the three, Google is definitely I think a little bit behind in how they go to market with their partners. Azure's done a fantastic job of partnering with these companies to understand and even though they may have Synapse as their go-to and where they want people to go to do AI and ML. What they're looking at is, Hey, we're going to also be friendly with Snowflake. We're also going to be friendly with a Databricks. And I think that, Amazon has always been there because that's where the market has been for these developers. So, many, like Databricks' and the Snowflake's have gone there first because, you know, Databricks' case, they built out on top of S3 first. And going and using somebody's object layer other than AWS, was not as simple as you would think it would be. Moving between those. >> So, one of the financial meetups I said meetup, but the... It was either the CEO or the CFO. It was either Slootman or Scarpelli talking at, I don't know, Merrill Lynch or one of the other financial conferences said, I think it was probably their Q3 call. Snowflake said 80% of our business goes through Amazon. And he said to this audience, the next day we got a call from Microsoft. Hey, we got to do more. And, we know just from reading the financial statements that Snowflake is getting concessions from Amazon, they're buying in volume, they're renegotiating their contracts. Amazon gets it. You know, lower the price, people buy more. Long term, we're all going to make more money. Microsoft obviously wants to get into that game with Snowflake. They understand the momentum. They said Google, not so much. And I've had customers tell me that they wanted to use Google's AI with Snowflake, but they can't, they got to go to to BigQuery. So, honestly, I haven't like vetted that so. But, I think it's true. But nonetheless, it seems like Google's a little less friendly with the data platform providers. What do you think? >> Yeah, I would say so. I think this is a place that Google looks and wants to own. Is that now, are they doing the right things long term? I mean again, you know, you look at Google Analytics being you know, basically outlawed in five countries in the EU because of GDPR concerns, and compliance and governance of data. And I think people are looking at Google and BigQuery in general and saying, is it the best place for me to go? Is it going to be in the right places where I need it? Still, it's still one of the largest used databases out there just because it underpins a number of the Google services. So you almost get, like you were saying, forced into BigQuery sometimes, if you want to use the tech on top. >> You do strategy. >> Yeah. >> Right? You do strategy, you do messaging. Is it the right call by Google? I mean, it's not a-- I criticize Google sometimes. But, I'm not sure it's the wrong call to say, Hey, this is our ace in the hole. >> Yeah. >> We got to get people into BigQuery. Cause, first of all, BigQuery is a solid product. I mean it's Cloud native and it's, you know, by all, it gets high marks. So, why give the competition an advantage? Let's try to force people essentially into what is we think a great product and it is a great product. The flip side of that is, they're giving up some potential partner TAM and not treating the ecosystem as well as one of their major competitors. What do you do if you're in that position? >> Yeah, I think that that's a fantastic question. And the question I pose back to the companies I've worked with and worked for is, are you really looking to have vendor lock-in as your key differentiator to your service? And I think when you start to look at these companies that are moving away from BigQuery, moving to even, Databricks on top of GCS in Google, they're looking to say, okay, I can go there if I have to evacuate from GCP and go to another Cloud, I can stay on Databricks as a platform, for instance. So I think it's, people are looking at what platform as a service, database as a service they go and use. Because from a strategic perspective, they don't want that vendor locking. >> That's where Supercloud becomes interesting, right? Because, if I can run on Snowflake or Databricks, you know, across Clouds. Even Oracle, you know, they're getting into business with Microsoft. Let's talk about some of the Cloud players. So, the big three have reported. >> Right. >> We saw AWSs Cloud growth decelerated down to 20%, which is I think the lowest growth rate since they started to disclose public numbers. And they said they exited, sorry, they said January they grew at 15%. >> Yeah. >> Year on year. Now, they had some pretty tough compares. But nonetheless, 15%, wow. Azure, kind of mid thirties, and then Google, we had kind of low thirties. But, well behind in terms of size. And Google's losing probably almost $3 billion annually. But, that's not necessarily a bad thing by advocating and investing. What's happening with the Cloud? Is AWS just running into the law, large numbers? Do you think we can actually see a re-acceleration like we have in the past with AWS Cloud? Azure, we predicted is going to be 75% of AWS IAS revenues. You know, we try to estimate IAS. >> Yeah. >> Even though they don't share that with us. That's a huge milestone. You'd think-- There's some people who have, I think, Bob Evans predicted a while ago that Microsoft would surpass AWS in terms of size. You know, what do you think? >> Yeah, I think that Azure's going to keep to-- Keep growing at a pretty good clip. I think that for Azure, they still have really great account control, even though people like to hate Microsoft. The Microsoft sellers that are out there making those companies successful day after day have really done a good job of being in those accounts and helping people. I was recently over in the UK. And the UK market between AWS and Azure is pretty amazing, how much Azure there is. And it's growing within Europe in general. In the states, it's, you know, I think it's growing well. I think it's still growing, probably not as fast as it is outside the U.S. But, you go down to someplace like Australia, it's also Azure. You hear about Azure all the time. >> Why? Is that just because of the Microsoft's software state? It's just so convenient. >> I think it has to do with, you know, and you can go with the reasoning they don't break out, you know, Office 365 and all of that out of their numbers is because they have-- They're in all of these accounts because the office suite is so pervasive in there. So, they always have reasons to go back in and, oh by the way, you're on these old SQL licenses. Let us move you up here and we'll be able to-- We'll support you on the old version, you know, with security and all of these things. And be able to move you forward. So, they have a lot of, I guess you could say, levers to stay in those accounts and be interesting. At least as part of the Cloud estate. I think Amazon, you know, is hitting, you know, the large number. Laws of large numbers. But I think that they're also going through, and I think this was seen in the layoffs that they were making, that they're looking to understand and have profitability in more of those services that they have. You know, over 350 odd services that they have. And you know, as somebody who went there and helped to start yet a new one, while I was there. And finally, it went to beta back in September, you start to look at the fact that, that number of services, people, their own sellers don't even know all of their services. It's impossible to comprehend and sell that many things. So, I think what they're going through is really looking to rationalize a lot of what they're doing from a services perspective going forward. They're looking to focus on more profitable services and bringing those in. Because right now it's built like a layer cake where you have, you know, S3 EBS and EC2 on the bottom of the layer cake. And then maybe you have, you're using IAM, the authorization and authentication in there and you have all these different services. And then they call it EMR on top. And so, EMR has to pay for that entire layer cake just to go and compete against somebody like Mongo or something like that. So, you start to unwind the costs of that. Whereas Azure, went and they build basically ground up services for the most part. And Google kind of falls somewhere in between in how they build their-- They're a sort of layer cake type effect, but not as many layers I guess you could say. >> I feel like, you know, Amazon's trying to be a platform for the ecosystem. Yes, they have their own products and they're going to sell. And that's going to drive their profitability cause they don't have to split the pie. But, they're taking a piece of-- They're spinning the meter, as Ziyas Caravalo likes to say on every time Snowflake or Databricks or Mongo or Atlas is, you know, running on their system. They take a piece of the action. Now, Microsoft does that as well. But, you look at Microsoft and security, head-to-head competitors, for example, with a CrowdStrike or an Okta in identity. Whereas, it seems like at least for now, AWS is a more friendly place for the ecosystem. At the same time, you do a lot of business in Microsoft. >> Yeah. And I think that a lot of companies have always feared that Amazon would just throw, you know, bodies at it. And I think that people have come to the realization that a two pizza team, as Amazon would call it, is eight people. I think that's, you know, two slices per person. I'm a little bit fat, so I don't know if that's enough. But, you start to look at it and go, okay, if they're going to start out with eight engineers, if I'm a startup and they're part of my ecosystem, do I really fear them or should I really embrace them and try to partner closer with them? And I think the smart people and the smart companies are partnering with them because they're realizing, Amazon, unless they can see it to, you know, a hundred million, $500 million market, they're not going to throw eight to 16 people at a problem. I think when, you know, you could say, you could look at the elastic with OpenSearch and what they did there. And the licensing terms and the battle they went through. But they knew that Elastic had a huge market. Also, you had a number of ecosystem companies building on top of now OpenSearch, that are now domain on top of Amazon as well. So, I think Amazon's being pretty strategic in how they're doing it. I think some of the-- It'll be interesting. I think this year is a payout year for the cuts that they're making to some of the services internally to kind of, you know, how do we take the fat off some of those services that-- You know, you look at Alexa. I don't know how much revenue Alexa really generates for them. But it's a means to an end for a number of different other services and partners. >> What do you make of this ChatGPT? I mean, Microsoft obviously is playing that card. You want to, you want ChatGPT in the Cloud, come to Azure. Seems like AWS has to respond. And we know Google is, you know, sharpening its knives to come up with its response. >> Yeah, I mean Google just went and talked about Bard for the first time this week and they're in private preview or I guess they call it beta, but. Right at the moment to select, select AI users, which I have no idea what that means. But that's a very interesting way that they're marketing it out there. But, I think that Amazon will have to respond. I think they'll be more measured than say, what Google's doing with Bard and just throwing it out there to, hey, we're going into beta now. I think they'll look at it and see where do we go and how do we actually integrate this in? Because they do have a lot of components of AI and ML underneath the hood that other services use. And I think that, you know, they've learned from that. And I think that they've already done a good job. Especially for media and entertainment when you start to look at some of the ways that they use it for helping do graphics and helping to do drones. I think part of their buy of iRobot was the fact that iRobot was a big user of RoboMaker, which is using different models to train those robots to go around objects and things like that, so. >> Quick touch on Kubernetes, the whole DevOps World we just covered. The Cloud Native Foundation Security, CNCF. The security conference up in Seattle last week. First time they spun that out kind of like reinforced, you know, AWS spins out, reinforced from reinvent. Amsterdam's coming up soon, the CubeCon. What should we expect? What's hot in Cubeland? >> Yeah, I think, you know, Kubes, you're going to be looking at how OpenShift keeps growing and I think to that respect you get to see the momentum with people like Red Hat. You see others coming up and realizing how OpenShift has gone to market as being, like you were saying, partnering with those Clouds and really making it simple. I think the simplicity and the manageability of Kubernetes is going to be at the forefront. I think a lot of the investment is still going into, how do I bring observability and DevOps and AIOps and MLOps all together. And I think that's going to be a big place where people are going to be looking to see what comes out of CubeCon in Amsterdam. I think it's that manageability ease of use. >> Well Rob, I look forward to working with you on behalf of the whole Cube team. We're going to do more of these and go out to some shows extract the signal from the noise. Really appreciate you coming into our studio. >> Well, thank you for having me on. Really appreciate it. >> You're really welcome. All right, keep it right there, or thanks for watching. This is Dave Vellante for the Cube. And we'll see you next time. (light music)
SUMMARY :
I'm really pleased to It's always great to be here. and I think we can have the number of Clouds that they have, contract to start with those make sense to you And, I think when you look in terms of, you know, the outlook. And they're looking to My sense is they still, you know, in how they go to market And he said to this audience, is it the best place for me to go? You do strategy, you do messaging. and it's, you know, And I think when you start Even Oracle, you know, since they started to to be 75% of AWS IAS revenues. You know, what do you think? it's, you know, I think it's growing well. Is that just because of the And be able to move you forward. I feel like, you know, I think when, you know, you could say, And we know Google is, you know, And I think that, you know, you know, AWS spins out, and I think to that respect forward to working with you Well, thank you for having me on. And we'll see you next time.
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Yves Sandfort, Comdivision Group | CloudNativeSecurityCon 23
(rousing music) >> Hello everyone. Welcome back to "theCUBE's" day one coverage of Cloud Native Security Con 23. This is going to be an exciting panel. I've got three great guests. I'm Lisa Martin, you know our esteemed analysts, John Furrier, and Dave Vellante well. And we're excited to welcome to "theCUBE" for the first time, Yves Sandfort, the CEO of Comdivision Group, who's coming to us from Germany. As you know, Cloud Native Security Con is a global event. Everyone welcome Yves, great to have you in particular. Welcome to "theCUBE." >> Great to be here. >> Thank you for inviting me. >> Yves, tell us a little bit, before we dig into really wanting to understand your perspectives on the event and get Dave and John's feedback as well, tell us a little bit about you. >> So yeah, talking about me, or talking about Comdivision real quick. We are in the business for over 27 years already. We started as a SaaS company, then became more like an architecture and, and Cloud Native company over the last few years. But what's interesting is, and I think that's, that's, that's really interesting when we look at our industry. It hasn't really, the requirements haven't really changed over the years. It's still security. We still have to figure out how we deal with security. We still have to figure out how we deal with compliance and everything else. And I think therefore, it's more and more important that we take these items more seriously. Also, based on the fact that when we look at it, how development and other things happen nowadays, it's, it's, everybody says it's like open source. It's great because everybody can look into the code. We, I think the last few years have shown us enough example that that's not necessarily solving all the issues, but it's also code and development has changed rapidly when we look at the Cloud Native approach, where it's far more about gluing the pieces together, versus the development pieces. When I was actually doing software development 25 years ago, and had to basically build my code because I didn't have that much internet access for it. So it has evolved, but even back then we had to deal with security and everything. >> Right. The focus on security is, is incredibly important, and the focus keeps growing as you mentioned. This is, guys, and I want to get your perspectives on this. We're going to start with John. This is the first time Cloud Native Security Con is its own event being extracted from, and amplified from KubeCon. John, I want to understand from your perspective, break down the event, what you see, what you've heard, and Cloud Native Security in general. What does this mean to companies? What does it mean to customers? Is this a reality? >> Well, I think that's the topic we want to discuss, and I think Yves background, you see the VMware certification, I love that. Because what VMware did with virtualization, was abstract that from server virtualization, kind of really changed the game on things, and you start to see Cloud Native kind of go that next level of how companies will be operating their business, not just digital transformation, as digital transformation goes to completion, it's total business transformation where IT is everywhere. And so you're starting to see the trends where, "Okay, that's happening." Now you're starting to see, that's Cloud Native Con, or KubeCon, AWS re:Invent, or whatever show, or whatever way you want to look at it. But in, in the past decade, past five years, security has always been front and center as almost a separate thing, and, in and of itself, but the same thing. So you're starting to see the breakout of security conversations around how to make things work. So a lot of operational conversations around what used to be DevOps makes infrastructure as code, and that was great, that fueled that. Then DevSecOps came. So the Cloud Native next level, is more application development at scale, developers driving the standards with developer first thinking, shifting left, I get all that. But down in the lower ends of the stack, you got real operational issues. DNS we've heard in the keynote, we heard about the Colonel, the Lennox Colonel. Things that need to be managed and taken care of at a security level. These are like, seem like in the weeds, but you're starting to see that happen. And the other thing that I think's real about Cloud Native Security Con that's going to be interesting to watch, is Amazon has pretty much canceled all their re:Invent like shows except for two; Re:Invent, which is their annual conference, and Re:Inforce, which is dedicated to securities. So Cloud Native, Linux, the Linux Foundation has now breaking out Cloud Native Con and KubeCon, and now Cloud Native Security Con. They can't call it KubeCon because it's not Kubernetes, but it's like security focus. I think this is the beginning of starting to see this new developer driving, developers driving the standards, and it has it implications, what used to be called IT ops, and that's like the VMwares of the world. You saw all the stuff that was not at developer focus, but more ops, becoming much more in the application. So I think, I think it's real. The question is where does it go? How fast does it develop? So to me, I think it's a real trend, and it's worthy of a breakout, but it's not yet clear of where the landing zone is for people to start doing it, how they get started, what are the best practices. Machine learning's going to be a big part of this. So to me it's totally cool, but I'm not yet seeing the beachhead. So that's kind of my take. >> Dave, our inventor and host of breaking analysis, what's your take? >> So when you, I think when you zoom out, there's some, there's a big macro change that's been going on. I think when you look back, let's say 10, 12 years ago, the, the need for speed far trumped the, the, the security aspect, the governance, the data privacy. It was like, "Yeah, the risks, they're not that great compared to our opportunity." That has completely changed because the risks are now so much higher. And so what's happening, I think there's a, there's a major effort amongst CIOs and CISOs to try to make security not a blocker because it use to be, it still is. "Okay, I got this great initiative." Eh, give it to the SecOps pros, and let them take it for a while before we can go to market. And so a huge challenge now is to simplify, automate, AI comes in, the whole supply chain security, so the, so the companies can not be facing so much friction. And that is non-trivial. I don't think we're anywhere close there, but I think the goal is by, within the next several years, we're going to be in a position, that security, we heard today, is, wasn't designed in to the initial internet protocols. It was bolted on. And so increasingly, the fundamental architecture of the internet, the Cloud, et cetera, is, is seeing designed in security, and, and that is an imperative, or else business is going to come to a grinding halt. >> Right. It's no longer, the bolt no longer works. Yves, what's your perspective on Cloud Native Security, where it stands today? What's in it for customers, whether we're talking about banks, or hospitals, or retailers, what do you think? >> I think when we, when we look at security in the, in the modern world, is we need to as, as Dave mentioned, we need to rethink how we apply it. Very often, security in the past has been always bolted on in the end. If we continue to do that, it'll become more and more difficult, because as companies evolve, and as companies want to bring products and software to market in a much faster and faster way, it's getting more and more difficult if we bolt on the security process at the end. It's like, developers build something and then someone checks security. That's not going to work any longer. Especially if we also consider now the changes in the industry. We had Stack Overflow over the last 10 years. If I would've had Stack Overflow 15, 20, what, 25 years ago when I was a developer, it would've changed a hell lot. Looking at it now, and looking at it what we had in the last few weeks, it's like where nearly all of my team members say is like finally I don't need any script kiddies anymore because I can't go to (indistinct) who writes the code for me. Which is on one end great, because it enables us to solve certain problems in a much higher pace. But the challenge with that is, if the people who just copy and past that code, don't understand the implications of that code, we have a much higher risk continuously. And what people thought was, is challenging with Stack Overflow. Imagine that something in one of these AI engines, is actually going ballistic, and it creates holes in nearly every one of these applications. And trust me, there will be enough developers who are going to use these tools to develop codes, the same as students in university are going to take this to write their essays and everything else. And so it's really important that every developer team basically has a security person within their team, and not a security at the end. So we build something, we check it, go through QA, and then it goes to security. Security needs to be at the forefront. And I think that's where we see Cloud Native Security Con, where we see AWS. I saw it during re:Invent already where they said is like, we have reinforced next year. I think this becomes more and more of a topic, and I think companies, as much as it is become a norm that you have a firewall and everything else, it needs to become a norm that when you are doing software development, and every development team needs to have a security person on that needs to be trained. >> I love that chat comment Dave, 'cause you and I were talking about this. And I think that is going to be the issue. Do we need security chat for the chat bot? And there's like a, like a recursive model there. The biases are built in. I think, and I think our interview with the Palo Alto Network's co-founder, Dave, when he talked about zero trust as a structured way to start things, but he was referencing that with Cloud, there's a chance to rethink or do a do-over in security. So, I think this is kind of to me, where this is all going. And I think you asked Pat Gelsinger what, year 2013, 2014, can, is security a do over? I think we're in that do over time. >> He said yes. >> He said yes. (laughing) He was right. But yeah, eight years later... But this is, how do you, zero trust gives you some structure, but how do you organize and redo security? Because to me, I think that's what's happening here. >> And John you heard, Zuk at Palo Alto Network said, "Yeah, the, the words security and architecture, they don't go together historically." And so it is a total, total retake. >> Well is that because there's too many tools out there and- >> Yeah. For sure. >> Yeah, well, first of all, a lot of hardware. And then yeah, a lot of tools. You even see IIOT and industry 40, you see IOT security coming up as another stove pipe, and that's not the right approach. And, and so- >> Well let me, let me ask you a question Dave, and Yves, if you don't mind. 'Cause I was just riffing on this yesterday about this. In the ML space, you're seeing the ML models, you're seeing proprietary models versus open source. Is security going to go down this proprietary security methods and open source? Because that's interesting, because the CNCF is run by the the Linux Foundation. So you can almost maybe see a model where there's more proprietary security methods than open source. Or is it, is that a non-issue? >> I would, I would, let me, if I, if I jump in here first, I think the last, especially last five or 10 years have clearly shown the, the whole and, and I invested early on in the, in the end 90s in several open source startups in the Bay area. So, I'm well behind the whole open source idea and, and mid (indistinct) and others back then several times. But the point is, I think what we have seen is open source is not in general, more secure or less secure, because code is too complex nowadays. You have millions of lines of code, and it's not that either one way or the other is going to solve it. The ways I think we are going to look at it is more is what's the role to market, because only because something is open source doesn't necessarily mean it's going to be available for everyone. And the same for proprietary source from that perspective, even though everybody mixes licensing and payments and all that all the time, but it doesn't necessarily have anything to do with it. But I think as we are going through it, and when we also look at the industry, security industry over the last 10 plus years has been primarily hardware focused. And a lot of these vendors have done a good business out of selling hardware boxes, putting software on top of it. Whereas in reality, those were still X86 standard boxes in the end. So it was not that we had specific security ethics or anything like that in there anymore. And so overall, the question of the market is going to change. And as we are looking into Cloud Native, think about someone like an AWS, do you really envision them to have a hardware box of every supplier in their data center, and that in every availability zone in every region? Same for Microsoft, same for Google, etc? So we need to have new ways on how we can apply security. And that applies both on the backend services, but also on the front end side. >> And if I, and if I could chime in, I think the, the good, I think the answer is, is, is no and yes. And what I mean by that is if you take, antivirus and known malware, I mean pretty much anybody today can, can solve that problem, it's the unknown malware. So I think the yes part of the answer is yes, it's, it's going to be proprietary, but in the sense we're going to use open source tooling, and then apply that in a proprietary way with, with specific algorithms and unique architectures that are going to solve problems. For example, XDR with, with unknown malware. So, and that's the, that's the hard part. As somebody said, I think this morning at the keynote, it's, it's all the stuff that, that the SecOps team couldn't find. That's the really hard part. >> (laughs) Well the question will be will, is the new IP, the ability to feed ChatGPT some magical spelled insertion query string that does the job, that's unique, that might be the new IP, the the question to ask. >> Well, that's what the hackers are going to do. And I, they're on offense. (John laughs) And the offense knows what play is coming. So, they're going to start. >> So guys, let's take this conversation up a level. I want to get your perspectives on what's in this for me as a customer? We know security is a board level conversation. We talk about this all the time. We also know that they're based on, I think David, was the conversations that you and I had, with Palo Alto Networks at Ignite in December. There's a, there's a lack of alignment between the executives and the board from a security perspective. When we talk about Cloud Native Security, we all talked about the value in that, what's in it for customers? I want to get your perspectives on should this be a board level conversation, and if so, how do you advise organizations, whether it is a hospital, or a bank, or an organization that is really affected by things like ransomware? How should they be thinking about this from an organizational perspective? >> Well, I'll start first, because we had this conversation during our Super Cloud event last month, and this comes up a lot. And this is, the CEO board level. Yes it is a board level conversation for security, as is application development as in terms of transforming their business to be competitive, not to be on the wrong side of history with this wave coming. So I think that's more of a management. But the issue is, they tell their people, "Go do it." And they're like, 'cause they get sold on the idea of, "Hey, won't you transform your business, and everything's going to be data driven, and machine learning's going to power your apps, get new customers, be profitable." "Oh, sign me up for that." When you have to implement this, it's really hard. And I think the core issue is, where are companies in their life cycle of the ability to execute and architect this thing properly as Dave said, Nick Zuk said, "You can't have architecture and security, you need platforms." So, I think the re-platforming, and the re-factoring of business is a big factor, and that's got to get down into the, the organizational shifts and the people to do it. So are there skills? Do I do a managed service? How do I architect it? Are there more services? Are there developers doing applications that are going to be more agile? So, this is not an easy thing. And to move a business from IT operations that is proven, to be positioned for this enablement, is just really difficult. And it's expensive. And if you screw it up, you could be, could be on the wrong side of things. So, to me, that's the big issue is, you sell the dream and then you got to implement it. And that's really difficult. >> Yves, give us your perspective on, based on John's comments, how do organizations shift so dramatically? There's a cultural element there as well, but there's also organizations that are, have competitive competitors in the rear view mirror, and there's time to waste. What are your thoughts on that? >> I think that's exactly the point. It's like, as an organization, you need to take the decision between the time, the risk, and all the other elements we have into this game. Because you can try to achieve 100% security, but that's exactly the same as trying to, to protect gold or anything else 100%. It's most likely not going to be from a risk perspective anyway sensible. And that's the same from a corporational perspective. When you look at building new internet services, or IOT services, or any kind of new shopping experience or whatever else, you need to balance out between the risks and the advantages out of it. And you also need to be accepting that you potentially on the way make mistakes, but then it's more important than ever that you are able to quickly fix any mistakes, and to adjust to anything what's happening in the market. Because as we are building all these new Cloud Native applications, and build up all these skill sets, one of the big scenarios is we are far more depending on individual building blocks. These building blocks come out of open source communities, which have a much different way. When we look back in software development, back then we had application servers from Oracle, Web Logic, whatsoever, they had a release cycles of every three to six months. As now we have to deal with open source, where sometimes release cycles are on a four week schedule, in between security patches. So you need to be much faster in adopting that, checking that, implementing that, getting things to work. So there is a security stretch from that perspective. There is a speech stretch on the other thing companies have to deal with, and on the other side it's always a measurement between the risk, and the security you can afford. Because reality is, you will not be 100% protected no matter what you do. So, you need to balance out what you as an organization can actually build on. But I think, coming back also to the point, it's on the bot level nowadays. It's like nearly every discussion we have with companies nowadays as they move into the Cloud, especially also here in Europe where for the last five years, it was always, it's like "It's data privacy." Data privacy is no longer, I mean, yes, for certain people, it's still the point, but for many more people it's like, "How protected is my data?" "What do we do in case of ransomware attack?" "What do we do in case of a denial of service?" All of these things become more vulnerable, where in the past you were discussing these things with a becking page, or, or like a stock exchange. They were, it's like, "What the hell is going to happen if we have a denial of service?" Now all of the sudden, this now affects nearly everyone in their storefronts and everything else, because everything is depending on it. >> Yeah, I think you're right on. You think about how cultural change occurs, it's bottom ups or, bottom up, top down or middle out. And what, what's happened with security is the people in the security team cared about it, they were the, everybody said, "Oh, it's their problem." And then it just did an end run to the board, kind of mid, early last decade. And then the board sort of pushed that down. And the line of business is realizing, "Holy cow. My business, my EBIT can be dramatically affected by this, so I care." Now it's this whole house, cultural team sport. I know it's sort of a, a cliche, but it, it's true. Everybody actually is beginning to care about security because the risks are now so high, and it's going to affect not only the bottom line of the company, the bottom line of the business, their job, it's, it's, it's virtually everywhere. It's a huge cultural shift that we're seeing. >> And that's a big challenge for organizations in any industry. And Yves, you talked about ransomware service. Every industry across the globe is vulnerable to this. But how can, maybe John, we'll start with you. How can Cloud Native Security help organizations if they're able to embrace it, operationally, culturally, dial down some of the vulnerabilities that just seem to keep growing? >> Well, I mean that's the big question. The breaches are, are critical. The governances also could be a way that anchors down growth. So I think the balance between the governance compliance piece of it is key, but making the developers faster and more productive is the key to me. And I think having the security paradigm where they're not blockers, as Dave said, is critical. So I love the whole shift left, but now that we have more data focused initiatives around how that, you can use data to understand the security issues, I think data and security are together, and I think there's a going to be a data operating system model emerging, where data and security will be almost one thing. And that will be set up by the security teams, and the data teams together. And that will feed guardrails into the developer environment. So the developer should feel no pain at all in doing this. So I think the best practice will end up being what we're seeing with supply chain, security, with making sure code's verified. And you're going to see the container, security side completely address has been, and KubeCon, we just, I asked Scott Johnson, the CEO of Docker, and I asked him directly, "Are you guys all tight on container security?" He said, yes, but other people are suggesting that's not true. There's a lot of issues with the container security. So, there's all kinds of areas where there's holes. So Cloud Native is cool on one hand, and very relevant, but if it's not shored up, it's going to be a problem. But I, so I think that's where the action will be, at the developer pipeline, in the containers, and the data. So, that will be very relevant, and if companies nail that, they'll be faster, they'll have better apps, and that'll be the differentiator. And again, if they don't on this next wave, they're going to be driftwood. >> Dave, how do they prevent becoming driftwood? >> Well, I think Cloud has had a huge impact. And a Cloud's by no means a panacea, but let's face it, it's dramatically improved a lot of companies security posture. Now there's still that shared responsibility. Even though an S3 bucket is encrypted, it's still your responsibility to make sure that it doesn't get decrypted by somebody who has access to it. So there are things like that, but to Yve's earlier point, that can be, that's done through software now, it's done through best practices. Those best practices can be shared. So the way you, you don't become driftwood, is you start to, you step back, rethink that security architecture as we were talking about earlier, take advantage of the Cloud, take advantage of Cloud Native, and all the, the rapid pace of innovation that's occurring there, and you don't use, it's called before, The audit is the last line of defense. That's no longer a check box item. "Oh yeah, we're in compliance." It's, this is a business imperative, and because we're going to reduce our expected loss and reduce our business risk. That's part of the business case today. >> Yeah. >> It's a huge, critically important part of the business case. Yves, question for you. If you're in an elevator with a CEO, a CFO, and a CISO, and they're talking about security and Cloud Native Security, what's your value proposition to them on a, on a say a 32nd elevator ride? >> Difficult story. I think at the moment, the most important part is, we need to get people to work together, and we need to train people to work more much better together. I think that's the overall most important part for all of these solutions, because in the end, security is always a person issue. If, we can have the best tools in the industry, as long as we don't get all of these teams to work together, then we have a problem. If the security team is always seen as the end of the solution to fix everything, that's not going to work because they always are the bad guys in the game. And so we need to bring the teams together. And once we have the teams work together, I think we have a far better track on, on maintaining security. >> John and Dave, I want to get your perspectives on what Yves just said. In all the experience that the two of you have as industry analysts here on "theCUBE," Wikibon, Siliconangle Media. How do you advise organizations to get those teams together? As Eve said, that alignment is critical, but John, we'll start with you, then Dave go to you. What's your advice for organizations that need to align those teams and really don't have a lot of time to wait to do it? >> (chuckling) That's a great question. I think, I think that's everyone pays hundreds of thousands of millions of dollars to get that advice from these consultants, organizations out there doing the transformations. But I think it comes down to personnel and commitment. I think if there's a C-level commitment to the effort, you'll see the institutional structure change. So you can see really getting behind it with their, with their wallet and their, and their support of either getting more personnel to support and assist, or manage services, or giving the power to the teams to execute and doing it in a way that, that's, that's well known and best practices. Start small, build out the pilots, build the platform, and then start getting it right. And I think that's the key. Not the magic wand, the old model of rolling out stuff in, in six month cycles. It's really, get the proof points, double down and change the culture, but also execute and have real metrics. And changing the architecture, like having more penetration tests as a service. Doing pen tests is like a joke now. So that doesn't make any sense. You got to have that built in almost every day, and every minute. So, these kinds of new techniques have to be implemented and have to be tried. So that's why these communities are growing. That's why I like what open source has been doing, and I like the open source as the place to have these conversations, because that's where the action will be for new stuff. And I think people will implement open source like they did before, but with different ways, better testing, better supply chain on the software side, verifying code. So, I see open source actually getting a tailwind from this, not a headwind. So, I'm bullish on the open source piece here on, on all levels, machine learning- >> Lisa, my answer is intramural sports. And it's 'cause I think it's cultural. And what I mean by that, is you take your your best and brightest security, and this is what frankly, a lot of CISOs do, an examples is Lena Smart, MongoDB. Take your best and brightest security pros, make them captains of the intramural teams, and pair them up with pods of individuals across the organization, which is most people who don't know anything about security, and put them together, so that they can, they, so that the folks that understand security can, can realize how little people know, what, what, what, how, what the worst practices that are out there in the reverse, how they can cross pollinate. And they do that on a regular basis, I know at Mongo and other companies. And that kind of cultural assimilation is a starting point for how you get security awareness up to your question around making it a team sport. >> Absolutely critical. Yves, I want to kind of wrap things with you. We've got a couple of minutes left. When you're really looking at the Cloud Native community, the growth of it, we talked about earlier in the program, Cloud Native Security Con being now extracted and elevated out of KubeCon, what are your thoughts on the groundswell that this community is generating around Cloud Native Security, the benefits that organizations will achieve from it? >> I think overall, when we have these securities conferences, or these security arms a bit spread out and separated out of the main conference, it helps to a certain degree, because especially in the security space, when you look at at other like black hat or white hat conferences and things like that in the past, although they were not focused on Cloud Native, a lot of these security folks didn't feel well taken care of in any of the other conferences because they were always these, it's like they are always blocking us, they're always making us problems, and all these kinds of things. Now that we really take the Cloud Native piece and the security piece together, or like AWS does it with re:Inforce, I think we will see more and more that people understand is that security is a permanent topic we need to cover, but we need to bring different people together, because security also has compliance and a lot of other components in there. So we will see at these conferences moving forward, also a different audience. It's not going to be only the Cloud Native developers. And if I see some of these security audiences, I can't really imagine them to really be at KubeCon because there is too much other things going on. And you couldn't really see much of that at re:Invent because re:Invent by itself has become a complete monster of a conference. It covers too many topics. And so having this very, very important security piece separated, also gives the opportunity, I think, that we can bring in the security people, but also have the type of board level discussions potentially, between the leaders of the industry, to also discuss on how we can evolve, how we can make things better, and how, how we can actually, yeah, evolve our industry for it. Because let's face it, that threat is not going to go away. It's, it's a business. And one of the last security conferences I was on, on the ransomware part, it was one of the topics someone said is like, "Look, currently on average, it takes a hacker group roughly around they said 15 to 20 K to break into a company, and they on average make 100K. It's a business, let's face it. And it's a business we don't like. And ethically, it's no discussion that this is not good, but that's something which is happening. People are making money with it. And as long as that's going to go on, and we have enough countries where these people can hide, it's going to stay and survive. And so, with that being said, it's important for us to really build an industry around this. But I also think it's good that we have separate conferences. In the past we had more the RSA conference, which tried to cover all of these areas. But that is not really fitting Cloud Native and everything else. So I think it's good that we have these new opportunities, the Cloud Native one, but also what AWS brings up for someone. >> Yves, you just nailed it. It just comes down to simple math. It's a fraction. Revenue over cost. And if you could increase the hacker's cost, increase the denominator, their ROI will go down. And that is the game. >> Great point, Dave. What I'm hearing guys, and we can talk about technology for days and days. I know all of you. But there's, there's a big component that, that the elevation of Cloud Native Security, on its own as standalone is critical, as is the people component. You guys all talked about that. We talked about the cultural change necessary for that. Hopefully what we're seeing with Cloud Native Security Con 23, this first event is going to give us more insight over the next couple of days, and the next months or so, as to how this elevation, and how the people can come together to really help organizations from a math perspective as, as Dave talked about, really dial down the risks there, understand more of the vulnerabilities so that ransomware as a service is not as lucrative as it is today. Guys, so much appreciate your time, really breaking down Cloud Native Security, the value in it from different perspectives, and what your thoughts are on where it's going. Thanks so much for your time. >> All right. Thanks. >> Thanks, Lisa. >> Thank you. >> Thanks, Yves. >> All right. For my guests, I'm Lisa Martin. You're watching theCUBE's day one coverage of Cloud Native Security Con 23. Thanks for watching. (rousing music)
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the CEO of Comdivision Group, perspectives on the event We are in the business and the focus keeps and that's like the VMwares of the world. And so increasingly, the the bolt no longer works. and not a security at the end. And I think that is going to be the issue. Because to me, I think And John you heard, Zuk and that's not the right approach. because the CNCF is run by and all that all the time, that the SecOps team couldn't find. is the new IP, the ability to feed ChatGPT And the offense knows what play is coming. between the executives and the board and the people to do it. and there's time to waste. and the security you can afford. And the line of business is realizing, that just seem to keep growing? is the key to me. The audit is the last line of defense. of the business case. because in the end, security that the two of you have or giving the power to the teams so that the folks that the growth of it, and the security piece together, And that is the game. and how the people can come together All right. of Cloud Native Security Con 23.
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Breaking Analysis: Supercloud2 Explores Cloud Practitioner Realities & the Future of Data Apps
>> Narrator: 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 tech practitioners, like most of us they want to make their lives easier so they can focus on delivering more value to their businesses. And to do so, they want to tap best of breed services in the public cloud, but at the same time connect their on-prem intellectual property to emerging applications which drive top line revenue and bottom line profits. But creating a consistent experience across clouds and on-prem estates has been an elusive capability for most organizations, forcing trade-offs and injecting friction into the system. The need to create seamless experiences is clear and the technology industry is starting to respond with platforms, architectures, and visions of what we've called the Supercloud. Hello and welcome to this week's Wikibon Cube Insights powered by ETR. In this breaking analysis we give you a preview of Supercloud 2, the second event of its kind that we've had on the topic. Yes, folks that's right Supercloud 2 is here. As of this recording, it's just about four days away 33 guests, 21 sessions, combining live discussions and fireside chats from theCUBE's Palo Alto Studio with prerecorded conversations on the future of cloud and data. You can register for free at supercloud.world. And we are super excited about the Supercloud 2 lineup of guests whereas Supercloud 22 in August, was all about refining the definition of Supercloud testing its technical feasibility and understanding various deployment models. Supercloud 2 features practitioners, technologists and analysts discussing what customers need with real-world examples of Supercloud and will expose thinking around a new breed of cross-cloud apps, data apps, if you will that change the way machines and humans interact with each other. Now the example we'd use if you think about applications today, say a CRM system, sales reps, what are they doing? They're entering data into opportunities they're choosing products they're importing contacts, et cetera. And sure the machine can then take all that data and spit out a forecast by rep, by region, by product, et cetera. But today's applications are largely about filling in forms and or codifying processes. In the future, the Supercloud community sees a new breed of applications emerging where data resides on different clouds, in different data storages, databases, Lakehouse, et cetera. And the machine uses AI to inspect the e-commerce system the inventory data, supply chain information and other systems, and puts together a plan without any human intervention whatsoever. Think about a system that orchestrates people, places and things like an Uber for business. So at Supercloud 2, you'll hear about this vision along with some of today's challenges facing practitioners. Zhamak Dehghani, the founder of Data Mesh is a headliner. Kit Colbert also is headlining. He laid out at the first Supercloud an initial architecture for what that's going to look like. That was last August. And he's going to present his most current thinking on the topic. Veronika Durgin of Sachs will be featured and talk about data sharing across clouds and you know what she needs in the future. One of the main highlights of Supercloud 2 is a dive into Walmart's Supercloud. Other featured practitioners include Western Union Ionis Pharmaceuticals, Warner Media. We've got deep, deep technology dives with folks like Bob Muglia, David Flynn Tristan Handy of DBT Labs, Nir Zuk, the founder of Palo Alto Networks focused on security. Thomas Hazel, who's going to talk about a new type of database for Supercloud. It's several analysts including Keith Townsend Maribel Lopez, George Gilbert, Sanjeev Mohan and so many more guests, we don't have time to list them all. They're all up on supercloud.world with a full agenda, so you can check that out. Now let's take a look at some of the things that we're exploring in more detail starting with the Walmart Cloud native platform, they call it WCNP. We definitely see this as a Supercloud and we dig into it with Jack Greenfield. He's the head of architecture at Walmart. Here's a quote from Jack. "WCNP is an implementation of Kubernetes for the Walmart ecosystem. We've taken Kubernetes off the shelf as open source." By the way, they do the same thing with OpenStack. "And we have integrated it with a number of foundational services that provide other aspects of our computational environment. Kubernetes off the shelf doesn't do everything." And so what Walmart chose to do, they took a do-it-yourself approach to build a Supercloud for a variety of reasons that Jack will explain, along with Walmart's so-called triplet architecture connecting on-prem, Azure and GCP. No surprise, there's no Amazon at Walmart for obvious reasons. And what they do is they create a common experience for devs across clouds. Jack is going to talk about how Walmart is evolving its Supercloud in the future. You don't want to miss that. Now, next, let's take a look at how Veronica Durgin of SAKS thinks about data sharing across clouds. Data sharing we think is a potential killer use case for Supercloud. In fact, let's hear it in Veronica's own words. Please play the clip. >> How do we talk to each other? And more importantly, how do we data share? You know, I work with data, you know this is what I do. So if you know I want to get data from a company that's using, say Google, how do we share it in a smooth way where it doesn't have to be this crazy I don't know, SFTP file moving? So that's where I think Supercloud comes to me in my mind, is like practical applications. How do we create that mesh, that network that we can easily share data with each other? >> Now data mesh is a possible architectural approach that will enable more facile data sharing and the monetization of data products. You'll hear Zhamak Dehghani live in studio talking about what standards are missing to make this vision a reality across the Supercloud. Now one of the other things that we're really excited about is digging deeper into the right approach for Supercloud adoption. And we're going to share a preview of a debate that's going on right now in the community. Bob Muglia, former CEO of Snowflake and Microsoft Exec was kind enough to spend some time looking at the community's supercloud definition and he felt that it needed to be simplified. So in near real time he came up with the following definition that we're showing here. I'll read it. "A Supercloud is a platform that provides programmatically consistent services hosted on heterogeneous cloud providers." So not only did Bob simplify the initial definition he's stressed that the Supercloud is a platform versus an architecture implying that the platform provider eg Snowflake, VMware, Databricks, Cohesity, et cetera is responsible for determining the architecture. Now interestingly in the shared Google doc that the working group uses to collaborate on the supercloud de definition, Dr. Nelu Mihai who is actually building a Supercloud responded as follows to Bob's assertion "We need to avoid creating many Supercloud platforms with their own architectures. If we do that, then we create other proprietary clouds on top of existing ones. We need to define an architecture of how Supercloud interfaces with all other clouds. What is the information model? What is the execution model and how users will interact with Supercloud?" What does this seemingly nuanced point tell us and why does it matter? Well, history suggests that de facto standards will emerge more quickly to resolve real world practitioner problems and catch on more quickly than consensus-based architectures and standards-based architectures. But in the long run, the ladder may serve customers better. So we'll be exploring this topic in more detail in Supercloud 2, and of course we'd love to hear what you think platform, architecture, both? Now one of the real technical gurus that we'll have in studio at Supercloud two is David Flynn. He's one of the people behind the the movement that enabled enterprise flash adoption, that craze. And he did that with Fusion IO and he is now working on a system to enable read write data access to any user in any application in any data center or on any cloud anywhere. So think of this company as a Supercloud enabler. Allow me to share an excerpt from a conversation David Flore and I had with David Flynn last year. He as well gave a lot of thought to the Supercloud definition and was really helpful with an opinionated point of view. He said something to us that was, we thought relevant. "What is the operating system for a decentralized cloud? The main two functions of an operating system or an operating environment are one the process scheduler and two, the file system. The strongest argument for supercloud is made when you go down to the platform layer and talk about it as an operating environment on which you can run all forms of applications." So a couple of implications here that will be exploring with David Flynn in studio. First we're inferring from his comment that he's in the platform camp where the platform owner is responsible for the architecture and there are obviously trade-offs there and benefits but we'll have to clarify that with him. And second, he's basically saying, you kill the concept the further you move up the stack. So the weak, the further you move the stack the weaker the supercloud argument becomes because it's just becoming SaaS. Now this is something we're going to explore to better understand is thinking on this, but also whether the existing notion of SaaS is changing and whether or not a new breed of Supercloud apps will emerge. Which brings us to this really interesting fellow that George Gilbert and I RIFed with ahead of Supercloud two. Tristan Handy, he's the founder and CEO of DBT Labs and he has a highly opinionated and technical mind. Here's what he said, "One of the things that we still don't know how to API-ify is concepts that live inside of your data warehouse inside of your data lake. These are core concepts that the business should be able to create applications around very easily. In fact, that's not the case because it involves a lot of data engineering pipeline and other work to make these available. So if you really want to make it easy to create these data experiences for users you need to have an ability to describe these metrics and then to turn them into APIs to make them accessible to application developers who have literally no idea how they're calculated behind the scenes and they don't need to." A lot of implications to this statement that will explore at Supercloud two versus Jamma Dani's data mesh comes into play here with her critique of hyper specialized data pipeline experts with little or no domain knowledge. Also the need for simplified self-service infrastructure which Kit Colbert is likely going to touch upon. Veronica Durgin of SAKS and her ideal state for data shearing along with Harveer Singh of Western Union. They got to deal with 200 locations around the world in data privacy issues, data sovereignty how do you share data safely? Same with Nick Taylor of Ionis Pharmaceutical. And not to blow your mind but Thomas Hazel and Bob Muglia deposit that to make data apps a reality across the Supercloud you have to rethink everything. You can't just let in memory databases and caching architectures take care of everything in a brute force manner. Rather you have to get down to really detailed levels even things like how data is laid out on disk, ie flash and think about rewriting applications for the Supercloud and the MLAI era. All of this and more at Supercloud two which wouldn't be complete without some data. So we pinged our friends from ETR Eric Bradley and Darren Bramberm to see if they had any data on Supercloud that we could tap. And so we're going to be analyzing a number of the players as well at Supercloud two. Now, many of you are familiar with this graphic here we show some of the players involved in delivering or enabling Supercloud-like capabilities. On the Y axis is spending momentum and on the horizontal accesses market presence or pervasiveness in the data. So netscore versus what they call overlap or end in the data. And the table insert shows how the dots are plotted now not to steal ETR's thunder but the first point is you really can't have supercloud without the hyperscale cloud platforms which is shown on this graphic. But the exciting aspect of Supercloud is the opportunity to build value on top of that hyperscale infrastructure. Snowflake here continues to show strong spending velocity as those Databricks, Hashi, Rubrik. VMware Tanzu, which we all put under the magnifying glass after the Broadcom announcements, is also showing momentum. Unfortunately due to a scheduling conflict we weren't able to get Red Hat on the program but they're clearly a player here. And we've put Cohesity and Veeam on the chart as well because backup is a likely use case across clouds and on-premises. And now one other call out that we drill down on at Supercloud two is CloudFlare, which actually uses the term supercloud maybe in a different way. They look at Supercloud really as you know, serverless on steroids. And so the data brains at ETR will have more to say on this topic at Supercloud two along with many others. Okay, so why should you attend Supercloud two? What's in it for me kind of thing? So first of all, if you're a practitioner and you want to understand what the possibilities are for doing cross-cloud services for monetizing data how your peers are doing data sharing, how some of your peers are actually building out a Supercloud you're going to get real world input from practitioners. If you're a technologist, you're trying to figure out various ways to solve problems around data, data sharing, cross-cloud service deployment there's going to be a number of deep technology experts that are going to share how they're doing it. We're also going to drill down with Walmart into a practical example of Supercloud with some other examples of how practitioners are dealing with cross-cloud complexity. Some of them, by the way, are kind of thrown up their hands and saying, Hey, we're going mono cloud. And we'll talk about the potential implications and dangers and risks of doing that. And also some of the benefits. You know, there's a question, right? Is Supercloud the same wine new bottle or is it truly something different that can drive substantive business value? So look, go to Supercloud.world it's January 17th at 9:00 AM Pacific. You can register for free and participate directly in the program. Okay, that's a wrap. I want to give a shout out to the Supercloud supporters. VMware has been a great partner as our anchor sponsor Chaos Search Proximo, and Alura as well. For contributing to the effort I want to thank Alex Myerson who's on production and manages the podcast. Ken Schiffman is his supporting cast as well. Kristen Martin and Cheryl Knight to help get the word out on social media and at our newsletters. And Rob Ho is our editor-in-chief over at Silicon Angle. Thank you all. Remember, these episodes are all available as podcast. Wherever you listen we really appreciate the support that you've given. We just saw some stats from from Buzz Sprout, we hit the top 25% we're almost at 400,000 downloads last year. So really appreciate your participation. All you got to do is search Breaking Analysis podcast and you'll find those I publish each week on wikibon.com and siliconangle.com. Or if you want to get ahold of me you can email me directly at David.Vellante@siliconangle.com or dm me DVellante or comment on our LinkedIn post. I want you to check out etr.ai. They've got the best survey data in the enterprise tech business. This is Dave Vellante for theCUBE Insights, powered by ETR. Thanks for watching. We'll see you next week at Supercloud two or next time on breaking analysis. (light music)
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Breaking Analysis: CIOs in a holding pattern but ready to strike at monetization
>> From theCUBE Studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR. This is "Breaking Analysis" with Dave Vellante. >> Recent conversations with IT decision makers show a stark contrast between exiting 2023 versus the mindset when we were leaving 2022. CIOs are generally funding new initiatives by pushing off or cutting lower priority items, while security efforts are still being funded. Those that enable business initiatives that generate revenue or taking priority over cleaning up legacy technical debt. The bottom line is, for the moment, at least, the mindset is not cut everything, rather, it's put a pause on cleaning up legacy hairballs and fund monetization. Hello, and welcome to this week's Wikibon Cube Insights powered by ETR. In this breaking analysis, we tap recent discussions from two primary sources, year-end ETR roundtables with IT decision makers, and CUBE conversations with data, cloud, and IT architecture practitioners. The sources of data for this breaking analysis come from the following areas. Eric Bradley's recent ETR year end panel featured a financial services DevOps and SRE manager, a CSO in a large hospitality firm, a director of IT for a big tech company, the head of IT infrastructure for a financial firm, and a CTO for global travel enterprise, and for our upcoming Supercloud2 conference on January 17th, which you can register free by the way, at supercloud.world, we've had CUBE conversations with data and cloud practitioners, specifically, heads of data in retail and financial services, a cloud architect and a biotech firm, the director of cloud and data at a large media firm, and the director of engineering at a financial services company. Now we've curated commentary from these sources and now we share them with you today as anecdotal evidence supporting what we've been reporting on in the marketplace for these last couple of quarters. On this program, we've likened the economy to the slingshot effect when you're driving, when you're cruising along at full speed on the highway, and suddenly you see red brake lights up ahead, so, you tap your own brakes and then you speed up again, and traffic is moving along at full speed, so, you think nothing of it, and then, all of a sudden, the same thing happens. You slow down to a crawl and you start wondering, "What the heck is happening?" And you become a lot more cautious about the rate of acceleration when you start moving again. Well, that's the trend in IT spend right now. Back in June, we reported that despite the macro headwinds, CIOs were still expecting 6% to 7% spending growth for 2022. Now that was down from 8%, which we reported at the beginning of 2022. That was before Ukraine, and Fed tightening, but given those two factors, you know that that seemed pretty robust, but throughout the fall, we began reporting consistently declining expectations where CIOs are now saying Q4 will come in at around 3% growth relative to last year, and they're expecting, or should we say hoping that it pops back up in 2023 to 4% to 5%. The recent ETR panelists, when they heard this, are saying based on their businesses and discussions with their peers, they could see low single digit growth for 2023, so, 1%, 2%, 3%, so, this sort of slingshotting, or sometimes we call it a seesaw economy, has caught everyone off guard. Amazon is a good example of this, and there are others, but Amazon entered the pandemic with around 800,000 employees. It doubled that workforce during the pandemic. Now, right before Thanksgiving in 2022, Amazon announced that it was laying off 10,000 employees, and, Jassy, the CEO of Amazon, just last week announced that number is now going to grow to 18,000. Now look, this is a rounding error at Amazon from a headcount standpoint and their headcount remains far above 2019 levels. Its stock price, however, does not and it's back down to 2019 levels. The point is that visibility is very poor right now and it's reflected in that uncertainty. We've seen a lot of layoffs, obviously, the stock market's choppy, et cetera. Now importantly, not everything is on hold, and this downturn is different from previous tech pullbacks in that the speed at which new initiatives can be rolled out is much greater thanks to the cloud, and if you can show a fast return, you're going to get funding. Organizations are pausing on the cleanup of technical debt, unless it's driving fast business value. They're holding off on modernization projects. Those business enablement initiatives are still getting funded. CIOs are finding the money by consolidating redundant vendors, and they're stealing from other pockets of budget, so, it's not surprising that cybersecurity remains the number one technology priority in 2023. We've been reporting that for quite some time now. It's specifically cloud, cloud native security container and API security. That's where all the action is, because there's still holes to plug from that forced march to digital that occurred during COVID. Cloud migration, kind of showing here on number two on this chart, still a high priority, while optimizing cloud spend is definitely a strategy that organizations are taking to cut costs. It's behind consolidating redundant vendors by a long shot. There's very little evidence that cloud repatriation, i.e., moving workloads back on prem is a major cost cutting trend. The data just doesn't show it. What is a trend is getting more real time with analytics, so, companies can do faster and more accurate customer targeting, and they're really prioritizing that, obviously, in this down economy. Real time, we sometimes lose it, what's real time? Real time, we sometimes define as before you lose the customer. Now in the hiring front, customers tell us they're still having a hard time finding qualified site reliability engineers, SREs, Kubernetes expertise, and deep analytics pros. These job markets remain very tight. Let's stay with security for just a moment. We said many times that, prior to COVID, zero trust was this undefined buzzword, and the joke, of course, is, if you ask three people, "What is zero trust?" You're going to get three different answers, but the truth is that virtually every security company that was resisting taking a position on zero trust in an attempt to avoid... They didn't want to get caught up in the buzzword vortex, but they're now really being forced to go there by CISOs, so, there are some good quotes here on cyber that we want to share that came out of the recent conversations that we cited up front. The first one, "Zero trust is the highest ROI, because it enables business transformation." In other words, if I can have good security, I can move fast, it's not a blocker anymore. Second quote here, "ZTA," zero trust architecture, "Is more than securing the perimeter. It encompasses strong authentication and multiple identity layers. It requires taking a software approach to security instead of a hardware focus." The next one, "I'd love to have a security data lake that I could apply to asset management, vulnerability management, incident management, incident response, and all aspects for my security team. I see huge promise in that space," and the last one, I see NLP, natural language processing, as the foundation for email security, so, instead of searching for IP addresses, you can now read emails at light speed and identify phishing threats, so, look at, this is a small snapshot of the mindset around security, but I'll add, when you talk to the likes of CrowdStrike, and Zscaler, and Okta, and Palo Alto Networks, and many other security firms, they're listening to these narratives around zero trust. I'm confident they're working hard on skating to this puck, if you will. A good example is this idea of a security data lake and using analytics to improve security. We're hearing a lot about that. We're hearing architectures, there's acquisitions in that regard, and so, that's becoming real, and there are many other examples, because data is at the heart of digital business. This is the next area that we want to talk about. It's obvious that data, as a topic, gets a lot of mind share amongst practitioners, but getting data right is still really hard. It's a challenge for most organizations to get ROI and expected return out of data. Most companies still put data at the periphery of their businesses. It's not at the core. Data lives within silos or different business units, different clouds, it's on-prem, and increasingly it's at the edge, and it seems like the problem is getting worse before it gets better, so, here are some instructive comments from our recent conversations. The first one, "We're publishing events onto Kafka, having those events be processed by Dataproc." Dataproc is a Google managed service to run Hadoop, and Spark, and Flank, and Presto, and a bunch of other open source tools. We're putting them into the appropriate storage models within Google, and then normalize the data into BigQuery, and only then can you take advantage of tools like ThoughtSpot, so, here's a company like ThoughtSpot, and they're all about simplifying data, democratizing data, but to get there, you have to go through some pretty complex processes, so, this is a good example. All right, another comment. "In order to use Google's AI tools, we have to put the data into BigQuery. They haven't integrated in the way AWS and Snowflake have with SageMaker. Moving the data is too expensive, time consuming, and risky," so, I'll just say this, sharing data is a killer super cloud use case, and firms like Snowflake are on top of it, but it's still not pretty across clouds, and Google's posture seems to be, "We're going to let our database product competitiveness drive the strategy first, and the ecosystem is going to take a backseat." Now, in a way, I get it, owning the database is critical, and Google doesn't want to capitulate on that front. Look, BigQuery is really good and competitive, but you can't help but roll your eyes when a CEO stands up, and look, I'm not calling out Thomas Kurian, every CEO does this, and talks about how important their customers are, and they'll do whatever is right by the customer, so, look, I'm telling you, I'm rolling my eyes on that. Now let me also comment, AWS has figured this out. They're killing it in database. If you take Redshift for example, it's still growing, as is Aurora, really fast growing services and other data stores, but AWS realizes it can make more money in the long-term partnering with the Snowflakes and Databricks of the world, and other ecosystem vendors versus sub optimizing their relationships with partners and customers in order to sell more of their own homegrown tools. I get it. It's hard not to feature your own product. IBM chose OS/2 over Windows, and tried for years to popularize it. It failed. Lotus, go back way back to Lotus 1, 2, and 3, they refused to run on Windows when it first came out. They were running on DEC VAX. Many of you young people in the United States have never even heard of DEC VAX. IBM wanted to run every everything only in its cloud, the same with Oracle, originally. VMware, as you might recall, tried to build its own cloud, but, eventually, when the market speaks and reveals what seems to be obvious to analysts, years before, the vendors come around, they face reality, and they stop wasting money, fighting a losing battle. "The trend is your friend," as the saying goes. All right, last pull quote on data, "The hardest part is transformations, moving traditional Informatica, Teradata, or Oracle infrastructure to something more modern and real time, and that's why people still run apps in COBOL. In IT, we rarely get rid of stuff, rather we add on another coat of paint until the wood rots out or the roof is going to cave in. All right, the last key finding we want to highlight is going to bring us back to the cloud repatriation myth. Followers of this program know it's a real sore spot with us. We've heard the stories about repatriation, we've read the thoughtful articles from VCs on the subject, we've been whispered to by vendors that you should investigate this trend. It's really happening, but the data simply doesn't support it. Here's the question that was posed to these practitioners. If you had unlimited budget and the economy miraculously flipped, what initiatives would you tackle first? Where would you really lean into? The first answer, "I'd rip out legacy on-prem infrastructure and move to the cloud even faster," so, the thing here is, look, maybe renting infrastructure is more expensive than owning, maybe, but if I can optimize my rental with better utilization, turn off compute, use things like serverless, get on a steeper and higher performance over time, and lower cost Silicon curve with things like Graviton, tap best of breed tools in AI, and other areas that make my business more competitive. Move faster, fail faster, experiment more quickly, and cheaply, what's that worth? Even the most hard-o CFOs understand the business benefits far outweigh the possible added cost per gigabyte, and, again, I stress "possible." Okay, other interesting comments from practitioners. "I'd hire 50 more data engineers and accelerate our real-time data capabilities to better target customers." Real-time is becoming a thing. AI is being injected into data and apps to make faster decisions, perhaps, with less or even no human involvement. That's on the rise. Next quote, "I'd like to focus on resolving the concerns around cloud data compliance," so, again, despite the risks of data being spread out in different clouds, organizations realize cloud is a given, and they want to find ways to make it work better, not move away from it. The same thing in the next one, "I would automate the data analytics pipeline and focus on a safer way to share data across the states without moving it," and, finally, "The way I'm addressing complexity is to standardize on a single cloud." MonoCloud is actually a thing. We're hearing this more and more. Yes, my company has multiple clouds, but in my group, we've standardized on a single cloud to simplify things, and this is a somewhat dangerous trend, because it's creating even more silos and it's an opportunity that needs to be addressed, and that's why we've been talking so much about supercloud is a cross-cloud, unifying, architectural framework, or, perhaps, it's a platform. In fact, that's a question that we will be exploring later this month at Supercloud2 live from our Palo Alto Studios. Is supercloud an architecture or is it a platform? And in this program, we're featuring technologists, analysts, practitioners to explore the intersection between data and cloud and the future of cloud computing, so, you don't want to miss this opportunity. Go to supercloud.world. You can register for free and participate in the event directly. All right, thanks for listening. That's a wrap. I'd like to thank Alex Myerson, who's on production and manages our podcast, Ken Schiffman as well, Kristen Martin and Cheryl Knight, they helped get the word out on social media, and in our newsletters, and Rob Hof is our editor-in-chief over at siliconangle.com. He does some great editing. Thank you, all. Remember, all these episodes are available as podcasts wherever you listen. All you've got to do is search "breaking analysis podcasts." I publish each week on wikibon.com and siliconangle.com where you can email me directly at david.vellante@siliconangle.com or DM me, @Dante, or comment on our LinkedIn posts. By all means, check out etr.ai. They get the best survey data in the enterprise tech business. We'll be doing our annual predictions post in a few weeks, once the data comes out from the January survey. This is Dave Vellante for theCUBE Insights powered by ETR. Thanks for watching, everybody, and we'll see you next time on "Breaking Analysis." (upbeat music)
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Supercloud2 Preview
>>Hello everyone. Welcome to the Super Cloud Event preview. I'm John Forry, host of the Cube, and with Dave Valante, host of the popular Super cloud events. This is Super Cloud two preview. I'm joined by industry leader and Cube alumni, Victoria Vigo, vice president of klos Cross Cloud Services at VMware. Vittorio. Great to see you. We're here for the preview of Super Cloud two on January 17th, virtual event, live stage performance, but streamed out to the audience virtually. We're gonna do a preview. Thanks for coming in. >>My pleasure. Always glad to be here. >>It's holiday time. We had the first super cloud on in August prior to VMware, explore North America prior to VMware, explore Europe prior to reinvent. We've been through that, but right now, super Cloud has got momentum. Super Cloud two has got some success. Before we dig into it, let's take a step back and set the table. What is Super Cloud and why is important? Why are people buzzing about it? Why is it a thing? >>Look, we have been in the cloud now for like 10, 15 years and the cloud is going strong and I, I would say that going cloud first was deliberate and strategic in most cases. In some cases the, the developer was going for the path of risk resistance, but in any sizable company, this caused the companies to end up in a multi-cloud world where 85% of the companies out there use two or multiple clouds. And with that comes what we call cloud chaos, because each cloud brings their own management tools, development tools, security. And so that increase the complexity and cost. And so we believe that it's time to usher a new era in cloud computing, which we, you call the super cloud. We call it cross cloud services, which allows our customers to have a single way to build, manage, secure, and access any application across any cloud. Lowering the cost and simplifying the environment. Since >>Dave Ante and I introduced and rift on the concept of Supercloud, as we talked about at reinvent last year, a lot has happened. Supercloud one, it was in August, but prior to that, great momentum in the industry. Great conversation. People are loving it, they're hating it, which means it's got some traction. Berkeley has come on board as with a position paper. They're kind of endorsing it. They call it something different. You call it cross cloud services, whatever it is. It's kind of the same theme we're seeing. And so the industry has recognized something is happening that's different than what Cloud one was or the first generation of cloud. Now we have something different. This Super Cloud two in January. This event has traction with practitioners, customers, big name brands, Sachs, fifth Avenue, Warner, media Financial, mercury Financial, other big names are here. They're leaning in. They're excited. Why the traction in the customer's industry converts over to, to the customer traction. Why is it happening? You, you get a lot of data. >>Well, in, in Super Cloud one, it was a vendor fest, right? But these vendors are smart people that get their vision from where, from the customers. This, this stuff doesn't happen in a vacuum. We all talk to customers and we tend to lean on the early adopters and the early adopters of the cloud are the ones that are telling us, we now are in a place where the complexity is too much. The cost is ballooning. We're going towards slow down potentially in the economy. We need to get better economics out of, of our cloud. And so every single customers I talked to today, or any sizable company as this problem, the developers have gone off, built all these applications, and now the business is coming to the operators and asking, where are my applications? Are they performing? What is the security posture? And how do we do compliance? And so now they're realizing we need to do something about this or it is gonna be unmanageable. >>I wanna go to a clip I pulled out from the, our video data lake and the cube. If we can go to that clip, it's Chuck Whitten Dell at a keynote. He was talking about what he calls multi-cloud by default, not by design. This is a state of the, of the industry. If we're gonna roll that clip, and I wanna get your reaction to that. >>Well, look, customers have woken up with multiple clouds, you know, multiple public clouds. On-premise clouds increasingly as the edge becomes much more a reality for customers clouds at the edge. And so that's what we mean by multi-cloud by default. It's not yet been designed strategically. I think our argument yesterday was it can be, and it should be, it is a very logical place for architecture to land because ultimately customers want the innovation across all of the hyperscale public clouds. They will see workloads and use cases where they wanna maintain an on-premise cloud. On-premise clouds are not going away. I mentioned edge Cloud, so it should be strategic. It's just not today. It doesn't work particularly well today. So when we say multi-cloud, by default we mean that's the state of the world. Today, our goal is to bring multi-cloud by design, as you heard. Yeah, I >>Mean, I, okay, Vittorio, that's, that's the head of Dell Technologies president. He obvious he runs it. Michael Dell's still around, but you know, he's the leader. This is a interesting observation. You know, he's not a customer. We have some customer equips we'll go to as well, but by default it kind of happened not by design. So we're now kind of in a zoom out issue where, okay, I got this environment just landed on me. What, what is the, what's your reaction to that clip of how multi-cloud has become present in, in everyone's on everyone's plate right now to deal with? Yeah, >>I it is, it is multi-cloud by default, I would call it by accident. We, we really got there by accident. I think now it's time to make it a strategic asset because look, we're using multiple cloud for a reason, because all these hyperscaler bring tremendous innovation that we want to leverage. But I strongly believe that in it, especially history repeat itself, right? And so if you look at the history of it, as was always when a new level of obstruction that simplify things, that we got the next level of innovation at the lower cost, you know, from going from c plus plus to Visual basic, going from integrating application at the bits of by layer to SOA and then web services. It's, it's only when we simplify the environment that we can go faster and lower cost. And the multi-cloud is ready for that level of obstruction today. >>You know, you've made some good points. You know, developers went crazy building great apps. Now they got, they gotta roll it out and operationalize it globally. A lot of compliance issues going on. The costs are going up. We got an economic challenge, but also agility with the cloud. So using cloud and or hybrid, you can get better agility. And also moving to the cloud, it's kind of still slow. Okay, so I get that at reinvent this year and at VMware explorer we were observing and we reported that you're seeing a transition to a new kind of ecosystem partner. Ones that aren't just ISVs anymore. You have ISVs, independent software vendors, but you got the emergence of bigger players that just, they got platforms, they have their own ecosystems. So you're seeing ecosystems on top of ecosystems where, you know, MongoDB CEO and the Databricks CEO both told me, we're not an isv, we're a platform built on a cloud. So this new kind of super cloudlike thing is going on. Why should someone pay attention to the super cloud movement? We're on two, we're gonna continue to do these out in the open. Anyone can participate. Why should people pay attention to this? Why should they come to the event? Why is this important? Is this truly an inflection point? And if they do pay attention, what should they pay attention to? >>I would pay attention to two things. If you are customers that are now starting to realize that you have a multi-cloud problem and the costs are getting outta control, look at what the leading vendors are saying, connect the dots with the early adopters and some of the customers that we are gonna have at Super Cloud two, and use those learning to not fall into the same trap. So I, I'll give you an example. I was talking to a Fortune 50 in Europe in my latest trip, and this is an a CIO that is telling me >>We build all these applications and now for compliance reason, the business is coming to me, I don't even know where they are, right? And so what I was telling him, so look, there are other customers that are already there. What did they do? They built a platform engineering team. What is the platform? Engineering team is a, is an operation team that understands how developers build modern applications and lays down the foundation across multiple clouds. So the developers can be developers and do their thing, which is writing code. But now you as a cio, as a, as a, as a governing body, as a security team can have the guardrail. So do you know that these applications are performing at a lower cost and are secure and compliant? >>Patura, you know, it's really encouraging and, and love to get your thoughts on this is one is the general consensus of industry leaders. I talked to like yourself in the round is the old way was soft complexity with more complexity. The cloud demand simplicity, you mentioned abstraction layer. This is our next inflection point. It's gotta be simpler and it's gotta be easy and it's gotta be performant. That's the table stakes of the cloud. What's your thoughts on this next wave of simplicity versus complexity? Because again, abstraction layers take away complexity, they should make it simpler. What's your thoughts? >>Yeah, so I'll give you few examples. One, on the development side and runtime. You, you one would think that Kubernetes will solve all the problems you have Kubernetes everywhere, just look at, but every cloud has a different distribution of Kubernetes, right? So for example, at VMware with tansu, we create a single place that allows you to deploy that any Kubernetes environment. But now you have one place to set your policies. We take care of the differences between this, this system. The second area is management, right? So once you have all everything deployed, how do you get a single object model that tells you where your stuff is and how it's performing, and then apply policies to it as well. So these are two areas and security and so on and so forth. So the idea is that figure out what you can abstract and make common across cloud. Make that simple and put it in one place while always allowing the developers to go underneath and use the differentiated features for innovation. >>Yeah, one of the areas I'm excited, I want to get your thoughts of too is, we haven't talked about this in the past, but it, I'll throw it out there. I think the, the new AI coming out chat, G P T and other things like lens, you see it and see new kinds of AI coming that's gonna be right in the heavy lifting opportunity to make things easier with AI and automation. I think AI will be a big factor in super cloud and, and cross cloud. What's your thoughts? >>Well, the one way to look at AI is, is one of the main, main services that you would want out of a multi-cloud, right? You want eventually, right now Google seems to have an edge, but you know, the competition creates, you know, innovation. So later on you wanna use something from Azure or from or from Oracle or something that, so you want at some point that is gonna be prone every single service in in the cloud is gonna be prone to obstruction and simplification. And I, I'm just excited about to see >>What book, I can't wait for the chat services to write code automatically for us. Well, >>They >>Do, they do. They're doing it now. They do. >>Oh, the other day, somebody, you know that I do this song par this for. So for fun sometimes. And somebody the other day said, ask the AI to write a parody song for multi-cloud. And so I have the lyrics stay >>Tuned. I should do that from my blog post. Hey, write a blog post on this January 17th, Victoria, thanks for coming in, sharing the preview bottom line. Why should people come? Why is it important? What's your final kind of takeaway? Billboard message >>History is repeat itself. It goes to three major inflection points, right? We had the inflection point with the cloud and the people that got left behind, they were not as competitive as the people that got on top o of this wave. The new wave is the super cloud, what we call cross cloud services. So if you are a customer that is experiencing this problem today, tune in to to hear from other customers in, in your same space. If you are behind, tune in to avoid the, the, the, the mistakes and the, the shortfalls of this new wave. And so that you can use multi-cloud to accelerate your business and kick butt in the future. >>All right. Kicking kick your names and kicking butt. Okay, we're here on J January 17th. Super Cloud two. Momentum continues. We'll be super cloud three. There'll be super cloud floor. More and more open conversations. Join the community, join the conversation. It's open. We want more voices. We want more, more industry. We want more customers. It's happening. A lot of momentum. Victoria, thank you for your time. Thank you. Okay. I'm John Farer, host of the Cube. Thanks for watching.
SUMMARY :
I'm John Forry, host of the Cube, and with Dave Valante, Always glad to be here. We had the first super cloud on in August prior to VMware, And so that increase the complexity And so the industry has recognized something are the ones that are telling us, we now are in a place where the complexity is too much. If we're gonna roll that clip, and I wanna get your reaction to that. Today, our goal is to bring multi-cloud by design, as you heard. Michael Dell's still around, but you know, he's the leader. application at the bits of by layer to SOA and then web services. Why should they come to the event? to realize that you have a multi-cloud problem and the costs are getting outta control, look at what What is the platform? Patura, you know, it's really encouraging and, and love to get your thoughts on this is one is the So the idea is that figure Yeah, one of the areas I'm excited, I want to get your thoughts of too is, we haven't talked about this in the past, but it, I'll throw it out there. single service in in the cloud is gonna be prone to obstruction and simplification. What book, I can't wait for the chat services to write code automatically for us. They're doing it now. And somebody the other day said, ask the AI to write a parody song for multi-cloud. Victoria, thanks for coming in, sharing the preview bottom line. And so that you can use I'm John Farer, host of the Cube.
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Breaking Analysis: How Palo Alto Networks Became the Gold Standard of Cybersecurity
>> From "theCube" Studios in Palo Alto in Boston bringing you data-driven insights from "theCube" and ETR. This is "Breaking Analysis" with Dave Vellante. >> As an independent pure play company, Palo Alto Networks has earned its status as the leader in security. You can measure this in a variety of ways. Revenue, market cap, execution, ethos, and most importantly, conversations with customers generally. In CISO specifically, who consistently affirm this position. The company's on track to double its revenues in fiscal year 23 relative to fiscal year 2020. Despite macro headwinds, which are likely to carry through next year, Palo Alto owes its position to a clarity of vision and strong execution on a TAM expansion strategy through acquisitions and integration into its cloud and SaaS offerings. Hello and welcome to this week's "Wikibon Cube Insights" powered by ETR and this breaking analysis and ahead of Palo Alto Ignite the company's user conference, we bring you the next chapter on top of the last week's cybersecurity update. We're going to dig into the ETR data on Palo Alto Networks as we promised and provide a glimpse of what we're going to look for at "Ignite" and posit what Palo Alto needs to do to stay on top of the hill. Now, the challenges for cybersecurity professionals. Dead simple to understand. Solving it, not so much. This is a taxonomic eye test, if you will, from Optiv. It's one of our favorite artifacts to make the point the cybersecurity landscape is a mosaic of stovepipes. Security professionals have to work with dozens of tools many legacy combined with shiny new toys to try and keep up with the relentless pace of innovation catalyzed by the incredibly capable well-funded and motivated adversaries. Cybersecurity is an anomalous market in that the leaders have low single digit market shares. Think about that. Cisco at one point held 60% market share in the networking business and it's still deep into the 40s. Oracle captures around 30% of database market revenue. EMC and storage at its peak had more than 30% of that market. Even Dell's PC market shares, you know, in the mid 20s or even over that from a revenue standpoint. So cybersecurity from a market share standpoint is even more fragmented perhaps than the software industry. Okay, you get the point. So despite its position as the number one player Palo Alto might have maybe three maybe 4% of the total market, depending on what you use as your denominator, but just a tiny slice. So how is it that we can sit here and declare Palo Alto as the undisputed leader? Well, we probably wouldn't go that far. They probably have quite a bit of competition. But this CISO from a recent ETR round table discussion with our friend Eric Bradley, summed up Palo Alto's allure. We thought pretty well. The question was why Palo Alto Networks? Here's the answer. Because of its completeness as a platform, its ability to integrate with its own products or they acquire, integrate then rebrand them as their own. We've looked at other vendors we just didn't think they were as mature and we already had implemented some of the Palo Alto tools like the firewalls and stuff and we thought why not go holistically with the vendor a single throat to choke, if you will, if stuff goes wrong. And I think that was probably the primary driver and familiarity with the tools and the resources that they provided. Now here's another stat from ETR's Eric Bradley. He gave us a glimpse of the January survey that's in the field now. The percent of IT buyers stating that they plan to consolidate redundant vendors, it went from 34% in the October survey and now stands at 44%. So we fo we feel this bodes well for consolidators like Palo Alto networks. And the same is true from Microsoft's kind of good enough approach. It should also be true for CrowdStrike although last quarter we saw softness reported on in their SMB market, whereas interestingly MongoDB actually saw consistent strength from its SMB and its self-serve. So that's something that we're watching very closely. Now, Palo Alto Networks has held up better than most of its peers in the stock market. So let's take a look at that real quick. This chart gives you a sense of how well. It's a one year comparison of Palo Alto with the bug ETF. That's the cyber basket that we like to compare often CrowdStrike, Zscaler, and Okta. Now remember Palo Alto, they didn't run up as much as CrowdStrike, ZS and Okta during the pandemic but you can see it's now down unquote only 9% for the year. Whereas the cyber basket ETF is off 27% roughly in line with the NASDAQ. We're not showing that CrowdStrike down 44%, Zscaler down 61% and Okta off a whopping 72% in the past 12 months. Now as we've indicated, Palo Alto is making a strong case for consolidating point tools and we think it will have a much harder time getting customers to switch off of big platforms like Cisco who's another leader in network security. But based on the fragmentation in the market there's plenty of room to grow in our view. We asked breaking analysis contributor Chip Simington for his take on the technicals of the stock and he said that despite Palo Alto's leadership position it doesn't seem to make much difference these days. It's all about interest rates. And even though this name has performed better than its peers, it looks like the stock wants to keep testing its 52 week lows, but he thinks Palo Alto got oversold during the last big selloff. And the fact that the company's free cash flow is so strong probably keeps it at the one 50 level or above maybe bouncing around there for a while. If it breaks through that under to the downside it's ne next test is at that low of around one 40 level. So thanks for that, Chip. Now having get that out of the way as we said on the previous chart Palo Alto has strong opinions, it's founder and CTO, Nir Zuk, is extremely clear on that point of view. So let's take a look at how Palo Alto got to where it is today and how we think you should think about his future. The company was founded around 18 years ago as a network security company focused on what they called NextGen firewalls. Now, what Palo Alto did was different. They didn't try to stuff a bunch of functionality inside of a hardware box. Rather they layered network security functions on top of its firewalls and delivered value as a service through software running at the time in its own cloud. So pretty obvious today, but forward thinking for the time and now they've moved to a more true cloud native platform and much more activity in the public cloud. In February, 2020, right before the pandemic we reported on the divergence in market values between Palo Alto and Fort Net and we cited some challenges that Palo Alto was happening having transitioning to a cloud native model. And at the time we said we were confident that Palo Alto would make it through the knot hole. And you could see from the previous chart that it has. So the company's architectural approach was to do the heavy lifting in the cloud. And this eliminates the need for customers to deploy sensors on prem or proxies on prem or sandboxes on prem sandboxes, you know for instance are vulnerable to overwhelming attacks. Think about it, if you're a sandbox is on prem you're not going to be updating that every day. No way. You're probably not going to updated even every week or every month. And if the capacity of your sandbox is let's say 20,000 files an hour you know a hacker's just going to turn up the volume, it'll overwhelm you. They'll send a hundred thousand emails attachments into your sandbox and they'll choke you out and then they'll have the run of the house while you're trying to recover. Now the cloud doesn't completely prevent that but what it does, it definitely increases the hacker's cost. So they're going to probably hit some easier targets and that's kind of the objective of security firms. You know, increase the denominator on the ROI. All right, the next thing that Palo Alto did is start acquiring aggressively, I think we counted 17 or 18 acquisitions to expand the TAM beyond network security into endpoint CASB, PaaS security, IaaS security, container security, serverless security, incident response, SD WAN, CICD pipeline security, attack service management, supply chain security. Just recently with the acquisition of Cider Security and Palo Alto by all accounts takes the time to integrate into its cloud and SaaS platform called Prisma. Unlike many acquisitive companies in the past EMC was a really good example where you ended up with a kind of a Franken portfolio. Now all this leads us to believe that Palo Alto wants to be the consolidator and is in a good position to do so. But beyond that, as multi-cloud becomes more prevalent and more of a strategy customers tell us they want a consistent experience across clouds. And is going to be the same by the way with IoT. So of the next wave here. Customers don't want another stove pipe. So we think Palo Alto is in a good position to build what we call the security super cloud that layer above the clouds that brings a common experience for devs and operational teams. So of course the obvious question is this, can Palo Alto networks continue on this path of acquire and integrate and still maintain best of breed status? Can it? Will it? Does it even have to? As Holger Mueller of Constellation Research and I talk about all the time integrated suites seem to always beat best of breed in the long run. We'll come back to that. Now, this next graphic that we're going to show you underscores this question about portfolio. Here's a picture and I don't expect you to digest it all but it's a screen grab of Palo Alto's product and solutions portfolios, network cloud, network security rather, cloud security, Sassy, CNAP, endpoint unit 42 which is their threat intelligence platform and every imaginable security service and solution for customers. Well, maybe not every, I'm sure there's more to come like supply chain with the recent Cider acquisition and maybe more IoT beyond ZingBox and earlier acquisition but we're sure there will be more in the future both organic and inorganic. Okay, let's bring in more of the ETR survey data. For those of you who don't know ETR, they are the number one enterprise data platform surveying thousands of end customers every quarter with additional drill down surveys and customer round tables just an awesome SaaS enabled platform. And here's a view that shows net score or spending momentum on the vertical axis in provision or presence within the ETR data set on the horizontal axis. You see that red dotted line at 40%. Anything at or over that indicates a highly elevated net score. And as you can see Palo Alto is right on that line just under. And I'll give you another glimpse it looks like Palo Alto despite the macro may even just edge up a bit in the next survey based on the glimpse that Eric gave us. Now those colored bars in the bottom right corner they show the breakdown of Palo Alto's net score and underscore the methodology that ETR uses. The lime green is new customer adoptions, that's 7%. The forest green at 38% represents the percent of customers that are spending 6% or more on Palo Alto solutions. The gray is at that 40 or 8% that's flat spending plus or minus 5%. The pinkish at 5% is spending is down on Palo Alto network products by 6% or worse. And the bright red at only 2% is churn or defections. Very low single digit numbers for Palo Alto, that's a real positive. What you do is you subtract the red from the green and you get a net score of 38% which is very good for a company of Palo Alto size. And we'll note this is based on just under 400 responses in the ETR survey that are Palo Alto customers out of around 1300 in the total survey. It's a really good representation of Palo Alto. And you can see the other leading companies like CrowdStrike, Okta, Zscaler, Forte, Cisco they loom large with similar aspirations. Well maybe not so much Okta. They don't necessarily rule want to rule the world. They want to rule identity and of course the ever ubiquitous Microsoft in the upper right. Now drilling deeper into the ETR data, let's look at how Palo Alto has progressed over the last three surveys in terms of market presence in the survey. This view of the data shows provision in the data going back to October, 2021, that's the gray bars. The blue is July 22 and the yellow is the latest survey from October, 2022. Remember, the January survey is currently in the field. Now the leftmost set of data there show size a company. The middle set of data shows the industry for a select number of industries in the right most shows, geographic region. Notice anything, yes, Palo Alto up across the board relative to both this past summer and last fall. So that's pretty impressive. Palo Alto network CEO, Nikesh Aurora, stressed on the last earnings call that the company is seeing somewhat elongated deal approvals and sometimes splitting up size of deals. He's stressed that certain industries like energy, government and financial services continue to spend. But we would expect even a pullback there as companies get more conservative. But the point is that Nikesh talked about how they're hiring more sales pros to work the pipeline because they understand that they have to work harder to pull deals forward 'cause they got to get more approvals and they got to increase the volume that's coming through the pipeline to account for the possibility that certain companies are going to split up the deals, you know, large deals they want to split into to smaller bite size chunks. So they're really going hard after they go to market expansion to account for that. All right, so we're going to wrap by sharing what we expect and what we're going to probe for at Palo Alto Ignite next week, Lisa Martin and I will be hosting "theCube" and here's what we'll be looking for. First, it's a four day event at the MGM with the meat of the program on days two and three. That's day two was the big keynote. That's when we'll start our broadcasting, we're going for two days. Now our understanding is we've never done Palo Alto Ignite before but our understanding it's a pretty technically oriented crowd that's going to be eager to hear what CTO and founder Nir Zuk has to say. And as well CEO Nikesh Aurora and as in addition to longtime friend of "theCube" and current president, BJ Jenkins, he's going to be speaking. Wendy Whitmore runs Unit 42 and is going to be several other high profile Palo Alto execs, as well, Thomas Kurian from Google is a featured speaker. Lee Claridge, who is Palo Alto's, chief product officer we think is going to be giving the audience heavy doses of Prisma Cloud and Cortex enhancements. Now, Cortex, you might remember, came from an acquisition and does threat detection and attack surface management. And we're going to hear a lot about we think about security automation. So we'll be listening for how Cortex has been integrated and what kind of uptake that it's getting. We've done some, you know, modeling in from the ETR. Guys have done some modeling of cortex, you know looks like it's got a lot of upside and through the Palo Alto go to market machine, you know could really pick up momentum. That's something that we'll be probing for. Now, one of the other things that we'll be watching is pricing. We want to talk to customers about their spend optimization, their spending patterns, their vendor consolidation strategies. Look, Palo Alto is a premium offering. It charges for value. It's expensive. So we also want to understand what kind of switching costs are customers willing to absorb and how onerous they are and what's the business case look like? How are they thinking about that business case. We also want to understand and really probe on how will Palo Alto maintain best of breed as it continues to acquire and integrate to expand its TAM and appeal as that one-stop shop. You know, can it do that as we talked about before. And will it do that? There's also an interesting tension going on sort of changing subjects here in security. There's a guy named Edward Hellekey who's been in "theCube" before. He hasn't been in "theCube" in a while but he's a security pro who has educated us on the nuances of protecting data privacy, public policy, how it varies by region and how complicated it is relative to security. Because securities you technically you have to show a chain of custody that proves unequivocally, for example that data has been deleted or scrubbed or that metadata does. It doesn't include any residual private data that violates the laws, the local laws. And the tension is this, you need good data and lots of it to have good security, really the more the better. But government policy is often at odds in a major blocker to sharing data and it's getting more so. So we want to understand this tension and how companies like Palo Alto are dealing with it. Our customers testing public policy in courts we think not quite yet, our government's making exceptions and policies like GDPR that favor security over data privacy. What are the trade-offs there? And finally, one theme of this breaking analysis is what does Palo Alto have to do to stay on top? And we would sum it up with three words. Ecosystem, ecosystem, ecosystem. And we said this at CrowdStrike Falcon in September that the one concern we had was the pace of ecosystem development for CrowdStrike. Is collaboration possible with competitors? Is being adopted aggressively? Is Palo Alto being adopted aggressively by global system integrators? What's the uptake there? What about developers? Look, the hallmark of a cloud company which Palo Alto is a cloud security company is a thriving ecosystem that has entries into and exits from its platform. So we'll be looking at what that ecosystem looks like how vibrant and inclusive it is where the public clouds fit and whether Palo Alto Networks can really become the security super cloud. Okay, that's a wrap stop by next week. If you're in Vegas, say hello to "theCube" team. We have an unbelievable lineup on the program. Now if you're not there, check out our coverage on theCube.net. I want to thank Eric Bradley for sharing a glimpse on short notice of the upcoming survey from ETR and his thoughts. And as always, thanks to Chip Symington for his sharp comments. Want to thank Alex Morrison, who's on production and manages the podcast Ken Schiffman as well in our Boston studio, Kristen Martin and Cheryl Knight they help get the word out on social and of course in our newsletters, Rob Hoof, is our editor in chief over at Silicon Angle who does some awesome editing, thank you to all. Remember all these episodes they're available as podcasts. Wherever you listen, all you got to do is search "Breaking Analysis" podcasts. I publish each week on wikibon.com and silicon angle.com where you can email me at david.valante@siliconangle.com or dm me at D Valante or comment on our LinkedIn post. And please do check out etr.ai. They've got the best survey data in the enterprise tech business. This is Dave Valante for "theCube" Insights powered by ETR. Thanks for watching. We'll see you next week on "Ignite" or next time on "Breaking Analysis". (upbeat music)
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bringing you data-driven and of course the ever
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Muddu Sudhakar, Aisera | AWS re:Invent 2022
(upbeat music) >> Hey, welcome back everyone, live coverage here. Re:invent 2022. I'm John Furrier, host of theCUBE. Two sets here. We got amazing content flowing. A third set upstairs in the executive briefing area. It's kind of a final review, day three. We got a special guest for do a re:Invent review. Muddu Sudhakar CEO founder of Aisera. Former multi-exit entrepreneur. Kind of a CUBE analyst who's always watching the floor, comes in, reports on our behalf. Thank you, you're seasoned veteran. Good to see you. Thanks for coming. >> Thank you John >> We've only got five minutes. Let's get into it. What's your report? What are you seeing here at re:Invent? What's the most important story? What's happening? What should people pay attention to? >> No, a lot of things. First all, thank you for having me John. But, most important thing what Amazon has announced is AIML. How they're doubling down on AIML. Amazon Connect for Wise. Watch out all the contact center vendors. Third, is in the area of workflow, low-code, no-code, workflow automation. I see these three are three big pillars. And, the fourth is ETL and ELTs. They're offering ETL as included as a part of S3 Redshift. I see those four areas are the big buckets. >> Well, it's not no ETL to S3. It's ETL into S3 or migration. >> That's right. >> Then the other one was Zero ETL Promise. >> Muddu: That's right. >> Which there's a skeptical group out there that think that's not possible. I do. I think ultimately that'll happen, but what's your take? >> I think it's going to happen. So, it's going to happen both within that data store as well as outside the data store, data coming in. I think that area, Amazon is going to slowly encroach into the whole thing will be part offered as a part of Redshift and S3. >> Got it. What else are you seeing? Security. >> Amazon Connect Amazon Connect is a big thing. >> John: Why is that so important? It seems like they already have that. >> They have it, but what they're doing now is to automate AI bots. They want to use AI bot to automate both agent assist, AI assist, and also WiseBot automation. So, all the contact center Wise to text they're doubling down. I think it's a good competition to Microsoft with the Nuance acquisition and what Zoom is doing today. So, I think within Microsoft, Zoom, and Amazon, it's a nice competition there. >> Okay, so we had Adam's keynote, a lot of security and data, that was big. Today, we had Swami, all ML, 13 announcements. Adam did telegraph to me that he was going to to share the love. Jassy would've probably taken most of those announcements, we know that. Adam shared the love. So, Adam, props to you for sharing the love with Swami and some of those announcements. We had 13. So, good for him. >> Yes. >> And then, we had Aruba with the partners. What's your take on the partner network? A revamp? >> No, I think Aruba did a very good job in terms of partners. Look at these, one of the best stores that Amazon does. Even the companies like me, I'm a startup company. They know how to include the partners, drive more revenue with partners, sell through it, more expansion. So, Amazon is still one of the best for startup to mid-market companies to go into enterprise. So, I love their partnership angle. >> One of the things I like that she said that resonated with me 'cause, I've been working with those teams, is it's unified, clear roles, but together. But, scaling the support for partners and making money for partners. >> That's right. >> That is a huge deal. Big road ahead. She's focused on it. She says, no problem. We want to scale up the business model of the channel. >> Muddu: That's right. >> The resources, so that the ecosystem can make money and serve customers or serve customers and make money. >> Muddu: That's right. And, I think one thing that they're always good is Marketplace. Now, they're doing is outside of market with ISV, co-sell, selling through. I think Amazon really understood that adding the value so that we make money as a partners and they make money, incrementally. So, I think Aruba is doing a very good job. I really like it. >> Okay, final question. What's going on with Werner? What do you expect to hear tomorrow from a developer front? Not a lot of developer productivity conversations at this re:Invent. Not a lot of people talking about software supply chain although Snyk was on theCUBE earlier. Developer productivity. Werner's going to speak to that tomorrow we think. Or, I don't know. What do you think? >> I think he's going talk something called generative AI. Rumored the people are talking about the code will be returned by the algorithms now. I think if I'm Werner, I'm going to talk about where the technology is going, where the humans will not be writing code. So, I think AI is going to double down with Amazon more on the generative AI. He's going to try a lot about that. >> Generative AI is hot. We could have generative CUBE, no hosts. >> Muddu: Yes, that would be good. >> No code, no host >> Muddu: Have an answer, John Software. (both laugh) >> We're going to automate everything. Muddu, great to hear from you. Thanks for reporting. Anything else on the ecosystem? Any observations on the ecosystem and their opportunity? >> So, coming from my side, if I'd to provide an answer, today we have like close to thousand leads that are good. Most of them are financial, healthcare. Healthcare is still one of the largest ones I saw in this conference. Financials, and then, I'm started seeing a lot more on the manufacturing. So, I think supply chain, they were not so. I think Amazon is doing fantastic job with financial, healthcare, and supply chain. >> Where is their blind spot if you had to point that one? >> I think media and entertainment. Media and entertainment is not that big on Amazon. So, I think we should see a lot more of those. >> Yeah, I think they need to look at that. Any other observations? Hallway conversations that are notable that you would like to share with folks watching? >> I think what needs to happen is with VMware, and Citrix desktop, and Endpoint Management. That's their blind spot. So far, nobody's really talking about the Endpoints. Your workstation, laptop, desktop. Remember, that was big with VMware. Nope, that's not a thought of conversation in email right now. So, I think that area is left behind by Amazon. Somebody needs to go after that white space. >> John: And, the audience here is over 50,000. Big numbers. >> Huge. One of the best shows, right? I mean after Covid. It's by far the best show I've seen in this year. >> All right, if you'd do a sizzle reel, what would it be? >> Sizzle reel. I think it's going to be a lot more on, as I said, generative to AI is the key word to watch. And, more than that, low-code no-code workflow automation. How do you automate the workflows? Which is where ServiceNow is fairly strong. I think you'll see Amazon and ServiceNow playing in the workflow automation. >> Muddu, thank you so much for coming on theCube sharing. That's a wrap up for day three here in theCUBE. I'm John Furrier, Dave Vellante for Lisa Martin, Savannah Peterson, all working on Paul Gillan and John Walls and the whole team. Thanks for all your support. Wrapping it up to the end of the day. Pulling the plug. We'll see you tomorrow. (upbeat music)
SUMMARY :
Good to see you. What's the most important story? Third, is in the area Well, it's not no ETL to S3. Then the other one I think ultimately that'll I think it's going to happen. What else are you seeing? Amazon Connect is a big thing. John: Why is that so important? So, all the contact center Wise to text So, Adam, props to you Aruba with the partners. So, Amazon is still one of the best One of the things I like that she said business model of the channel. the ecosystem can make money that adding the value so that to that tomorrow we think. So, I think AI is going Generative AI is hot. Muddu: Have an answer, John Software. Anything else on the ecosystem? of the largest ones I saw So, I think we should that you would like to I think what needs to happen is John: And, the audience One of the best shows, right? I think it's going to be Walls and the whole team.
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Jon Bakke, MariaDB | AWS re:Invent 2022
(bright upbeat music) >> Welcome back everyone to theCUBE's live coverage here in Las Vegas for wall-to-wall coverage. It is re:Invent 2022, our 10th year with theCUBE. Dave and I started this journey 10 years ago here at re:Invent. There are two sets, here, a set upstairs. Great content, I'm here with Paul Gillin, my cohost. Paul's out reporting on the floor, doing some interviews. Paul, what do you think so far? It's pretty crazy activity going on here. >> Well, the activity hasn't declined at all. I mean here we are in day three of the show and it's just as busy out there as it was in day one. And there's just an energy here that you can feel, it's palpable. There is a lot of activity around developers, a lot around data. Which actually brings us a good segue into our next guest because one of the leaders in data management in the cloud is MariaDB. And John Bakke is the CRO at MariaDB, and here to talk to us about your cloud version and how open source is going for you. >> Yeah, thanks for having me. >> Paul: Thanks for joining us. >> To get the update on the product, what do you guys do on the relation to AWS? How's that going? Give us a quick update. >> In the relational database? >> No, no. The relationship with AWS >> Oh, with AWS? >> And SkySQL, what's the update? >> There's no relationship that we have that's more important than the AWS relationship. We're building our cloud, our premier cloud service called SkySQL on AWS. And they offer the best in class infrastructure for a SaaS company to build what they're building. And for us, it's a database service, right? And then beyond that, they help you from the business side, right? They try to get you lined up in the marketplace and make it possible for you to work best with customers. And then from a customer perspective, they're super helpful in not only finding prospective customers, but making that customer successful. 'Cause everybody's got a vested interest in the outcome. Right? >> Yeah, a little tongue twister there. Relational data-based relationship. We've got relational databases, we've got unstructured, data is at the center of the value proposition. Swami's keynote today and the Adam CEO's keynote, data and security dominated the keynotes >> John: Yes. >> and the conversations. So, this is real. The customers are really wanting to accelerate the developer experience, >> John: Yep. >> Developer pipe lining, more code faster, more horsepower under the hood. But this data conversation, it just never goes away. The world's keeping on coming around. >> John: It never goes away. I've been in this business for almost 30 years and we're still talking about the same key factors, right? Reliability, availability, performance, security. These things are pervasive in the data management because it's such a critical aspect to success. >> Yeah, in this case of SkySQL, you have both a transactional and an analytical engine in one. >> John: That's correct. >> Right? >> John: Yep. >> And that was a, what has the customer adoption been like of that hybrid, or I guess not a hybrid, but a dual function? >> Yeah. So the thing that makes that important is that instead of having siloed services, you have integrated data services. And a lot of times when you ask a question that's analytical it might depend on a transaction. And so, that makes the entire experience best for the developer, right? So, to take that further, we also, in SkySQL, offer a geospatial offering that integrates with all of that. And then we even take it further than that with distributed database with Xpand or ready to be Xpand. >> A lot of discussion. Geospatial announcement today on stage, just the diversity of data, and your experience in the industry. There's not the one database that rule them all anymore. There's a lot of databases out there. How are customers dealing with, I won't say database for all, 'Cause you need databases. And then you've got real time transactional, you got batch going on, you got streaming data, all kinds of data use cases now, all kind of having to be rolled together. What's your reaction? What's your take on the state of data and databases? >> Yeah, yeah, yeah. So when I started in this business, there were four databases, and now there's 400 databases. And the best databases really facilitate great application development. So having as many of those services in real time or in analytics as possible means that you are a database for everyone or for all users, right? And customers don't want to use multiple databases. Sometimes they feel like they're forced to do that, but if you're like MariaDB, then you offer all of those capabilities in an integrated way that makes the developer move faster. >> Amazon made a number of announcements this morning in the data management area, including geospatial support on RDS, I believe. How do you, I guess, coordinate yourself, your sales message with their sales message, given that you are partners, but they are competing with you in some ways? >> Yeah, there's always some cooperatition, I guess, that happens with AWS in the various product silos that they're offering their customers. For us, we're one of thousands of obviously partners that they have. And we're out there trying to do what our customers want, which is to have those services integrated, not glued together with a variety of different integration software. We want it integrated in the service so that it's one data provision, data capability for the application developer. It makes for a better experience for the developer in the end. >> On the customer side, what's the big activity? I mean, you got the on-premises database, you've got the cloud. When should a customer decide, or what's the signals to them that they should either move to the cloud, or change, be distributed? What are some of the forcing functions? What does the mark look like? >> Yeah, I've come a long way on this, but my opinion is that every customer should be in the cloud. And the reason simply is the economies that are involved, the pace of execution, the resilience and dependability of the cloud, Amazon being the leader in that space. So if you were to ask me, right now is the time to be in SkySQL because it's the premier data service in the cloud. So I would take my customer out of their on-prem and put them all in AWS, on SkySQL, if I could. Not everybody's ready for that, but my opinion is that the security is there, the reliability, the privacy, all of the things that maybe are legacy concerns, it's all been proven to be adequate and probably even better because of all of the economies of scale that you get out of being in the cloud just generally. >> Now, MariaDB, you started on-premise though. You still have a significant customer base on-premise. What, if anything are you doing to encourage them to migrate to the cloud? >> Well, so we have hundreds and hundreds of customers as MariaDB, and we weren't the first database company to put their database in the cloud, but watching it unfold helped us realize that we're going to put MariaDB in its best form factor in SkySQL. It's the only place you could get the enterprise version of MariaDB in a cloud service, right? So when we look at our customers on-prem, we're constantly telling them, obviously, that we have a cloud service. When they subscribe, we show them the efficiencies and the economies, and we do get customers that are moving. We had a customer go to Telefonica over in the UK that moved from an on-premise to manage their wifi services across Europe. And they're very happy. They were one of our very first SkySQL customers. And that has routinely proven itself to be a path towards not only a better operation for the customer, they're up more, they have fewer outages because they're not inflicting their own self wounds that they have in their own data center. They're running on world class infrastructure on world class databases. >> What are some of those self wounds? Is it personnel, kind of manual mistakes, just outages, reliability? What's the real cause, and then what's the benefit alternative in the cloud that is outside? >> Yeah. I mean, I think, when you repeat the same database implementation over and over on the infrastructure, it gets tested thousands and thousands of times. Whereas if I'm a database team and I install it once, I've tested it one time, and I can't account for all of the things that might happen in the future. So the benefit of the cloud is that you just get that repeat ability that happens and all of the sort of the kinks and bugs and issues are worked out of the system. And that's why it's just fundamentally better. We get 99.9999% uptime because all of those mistakes have been made, solved, and fixed. >> Fully managed, obviously. >> Yes. Right. >> Huge benefit. >> John: Right. >> And people are moving, it's just a great benefit. >> John: Yeah. >> So I'm a fan obviously. I think it's a great way to go. I got to ask about the security though, because big conversation here is security. What's the security posture? What's the security story to customers with SkySQL and MariaDB? >> Right, right, right. So we've taken the server, which was the initial product that MariaDB was founded upon, right? And we've come a long way over the several years that we've been in business. In SkySQL, we have SOC 2 compliance, for example. So we've gone through commercial certifications to make sure that customers can depend that we are following processes, we have technology in place in order to secure and protect their data. And in that environment, it is repeatable. So every time a customer uses our DBaaS infrastructure, databases a service infrastructure called SkySQL, they're benefiting from all of the testing that's been done. They go there and do that themselves, they would've to go through months and months of processes in order to reach the same level of protection. >> Now MariaDB is distributed by design. Is that right? >> Yes. So we have a distributed database, it's called Xpand, MariaDB Xpand. And it's an option inside of SkySQL. It's the same cost as MariaDB server, but Xpand is distributed. And the easiest way to understand what distributed database is is to understand what it is not first. What it is not is like every other cloud database. So most of the databases strangely in the cloud are not distributed databases. They have one single database node in a cluster that is where all of the changes and rights happen. And that creates a bottleneck in the database. And that's why there's difficulties in scale. AWS actually talked about this in the keynote which is the difficulty around multi writer in the cloud. And that's what Xpand does. And it spreads out the reads and the rights to make it scalable, more performant, and more resilient. One node goes down, still stays up, but you get the benefit of the consistency and the parallelization that happens in Xpand. >> So when would a customer choose Xpand versus SkySQL Vanilla? >> So we have, I would say a lot of times, but the profile of our customers are typically like financial services, trade stores. We have Samsung Cloud, 500,000 transactions per second in an expand cluster where they run sort of their Samsung cloud for their mobile device unit. We have many customers like that where it's a commercial facing website often or a service where the brand depends on uptime. Okay. So if you're in exchange or if you are a mobile device company or an IOT company, you need those databases to be working all the time and scale broadly and have high performance. >> So you have resiliency built in essentially? >> Yes, yeah. And that's the major benefit of it. It hasn't been solved by anybody other than us in the cloud to be quite honest with you. >> That's a differentiator for sure. >> It is a huge differentiator, and there are a lot of interested parties. We're going to see that be the next discussion probably next year when we come back is, what's the state of distributed database? Because it's really become really the tip of the spear with the database industry right now. >> And what's the benefits of that? Just quickly describe why that's important? >> Obviously the performance and the resilience are the two we just talked about, but also the efficiency. So if you have a multi-node cluster of a single master database, that gets replicated four times, five times over, five times the cost. And so we're taking cost out, adding performance in. And so, you're really seeing a revolution there because you're getting a lot more for a lot less. And whenever you do that, you win the game. Right? >> Awesome. Yeah, that's true. And it seems like, okay, that might be more costly but you're not replicating. >> That's right. >> That's the key. >> Replicating just enough to be resilient but not excessively to be overly redundant. Right. >> Yeah. I find that the conversation this year is starting to unpack some of these cloud native embedded capabilities inside AWS. So are you guys doing more around, on the customer side, around marketplace? Are you guys, how do people consume products? >> Yeah. It's really both. So sometimes they come to us from AWS. AWS might say, "Hey, you know what," "we don't really have an answer." And that's specifically true on the expand side. They don't really have that in their list of databases yet. Right. Hopefully, we'll get out in front of them. But they oftentimes come through our front door where they're a MariaDB customer already, right? There's over a hundred thousand production systems with MariaDB in the world, and hundreds of thousands of users of the database. So they know our brand, not quite as well as AWS, but they know our brand... >> You've got a customer base. >> We do. Right. I mean people love MariaDB. They just think it's the database that they use for application development all the time. And when they see us release an offering like Xpand just a few years ago, they're interested, they want to use that. They want to see how that works. And then when they take it into production and it works as advertised, of course, success happens. Right? >> Well great stuff, John. Great to have you on theCUBE. Paul, I guess time we do the Insta challenge here. New format on theCUBE, we usually say at the end, summarize what's most important story for you or show, what's the bumper sticker? We kind of put it around more of an Instagram reel. What's your sizzle reel? What's your thought leadership statement? 30 seconds >> John: Thought leadership. >> John? >> So the thought leadership is really in scaling the cloud to the next generation. We believe MariaDB's Xpand product will be the the technology that fronts the next wave of database solutions in the cloud. And AWS has become instrumental in helping us do that with their infrastructure and all the help that they give us, I think at the end of the day, when the story on Xpand is written, it's going to be a very fun ride over the next few years. >> John, thank you. CRO, chief revenue officer of MariaDB, great to have you on. >> Thank you. >> 34-year veteran or so in databases. (laughs) >> You're putting a lot of age on me. I'm 29. I'm 29 again. (all laugh) >> I just graduated high school and I've been doing this for 10 years. Great to have you on theCUBE. Thanks for coming on. >> Thanks guys. Yeah. >> Thanks for sharing. >> Appreciate it. >> I'm John Furrier with Paul Gillin here live on the floor, wall-to-wall coverage. We're already into like 70 videos already. Got a whole another day, finish out day three. Keep watching theCUBE, thanks for watching. We'll be right back. (calm music)
SUMMARY :
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Robert Nishihara, Anyscale | AWS re:Invent 2022 - Global Startup Program
>>Well, hello everybody. John Walls here and continuing our coverage here at AWS Reinvent 22 on the queue. We continue our segments here in the Global Startup program, which of course is sponsored by AWS Startup Showcase, and with us to talk about any scale as the co-founder and CEO of the company, Robert and n, you are Robert. Good to see you. Thanks for joining us. >>Yeah, great. And thank you. >>You bet. Yeah. Glad to have you aboard here. So let's talk about Annie Scale, first off, for those at home and might not be familiar with what you do. Yeah. Because you've only been around for a short period of time, you're telling me >>Company's about >>Three years now. Three >>Years old, >>Yeah. Yeah. So tell us all about it. Yeah, >>Absolutely. So one of the biggest things happening in computing right now is the proliferation of ai. AI is just spreading throughout every industry has the potential to transform every industry. But the thing about doing AI is that it's incredibly computationally intensive. So if you wanna do do ai, you're not, you're probably not just doing it on your laptop, you're doing it across many machines, many gpu, many compute resources, and that's incredibly hard to do. It requires a lot of software engineering expertise, a lot of infrastructure expertise, a lot of cloud computing expertise to build the software infrastructure and distributed systems to really scale AI across all of the, across the cloud. And to do it in a way where you're really getting value out of ai. And so that is the, the problem statement that AI has tremendous potential. It's incredibly hard to do because of the, the scale required. >>And what we are building at any scale is really trying to make that easy. So trying to get to the point where, as a developer, if you know how to program on your laptop, then if you know how to program saying Python on your laptop, then that's enough, right? Then you can do ai, you can get value out of it, you can scale it, you can build the kinds of, you know, incredibly powerful applica AI applications that companies like Google and, and Facebook and others can build. But you don't have to learn about all of the distributed systems and infrastructure. It just, you know, we'll handle that for you. So that's, if we're successful, you know, that's what we're trying to achieve here. >>Yeah. What, what makes AI so hard to work with? I mean, you talk about the complexity. Yeah. A lot of moving parts. I mean, literally moving parts, but, but what is it in, in your mind that, that gets people's eyes spinning a little bit when they, they look at great potential. Yeah. But also they look at the downside of maybe having to work your way through Pike mere of sorts. >>So, so the potential is definitely there, but it's important to remember that a lot of AI initiatives fail. Like a lot of initiative AI initiatives, something like 80 or 90% don't make it out of, you know, the research or prototyping phase and inter production. Hmm. So, some of the things that are hard about AI and the reasons that AI initiatives can fail, one is the scale required, you know, moving. It's one thing to develop something on your laptop, it's another thing to run it across thousands of machines. So that's scale, right? Another is the transition from development and prototyping to production. Those are very different, have very different requirements. Absolutely. A lot of times it's different teams within a company. They have different tech stacks, different software they're using. You know, we hear companies say that when they move from develop, you know, once they prototype and develop a model, it could take six to 12 weeks to get that model in production. >>And that often involves rewriting a lot of code and handing it off to another team. So the transition from development to production is, is a big challenge. So the scale, the development to production handoff. And then lastly, a big challenge is around flexibility. So AI's a fast moving field, you see new developments, new algorithms, new models coming out all the time. And a lot of teams we work with, you know, they've, they've built infrastructure. They're using products out there to do ai, but they've found that it's sort of locking them into rigid workflows or specific tools, and they don't have the flexibility to adopt new algorithms or new strategies or approaches as they're being developed as they come out. And so they, but their developers want the flexibility to use the latest tools, the latest strategies. And so those are some of the main problems we see. It's really like, how do you scale scalability? How do you move easily from development and production and back? And how do you remain flexible? How do you adapt and, and use the best tools that are coming out? And so those are, yeah, just those are and often reasons that people start to use Ray, which is our open source project in any scale, which is our, our product. So tell >>Me about Ray, right? Yeah. Opensource project. I think you said you worked on it >>At Berkeley. That's right. Yeah. So before this company, I did a PhD in machine learning at Berkeley. And one of the challenges that we were running into ourselves, we were trying to do machine learning. We actually weren't infrastructure or distributed systems people, but we found ourselves in order to do machine learning, we found ourselves building all sorts of tools, ad hoc tools and systems to scale the machine learning, to be able to run it in a reasonable amount of time and to be able to leverage the compute that we needed. And it wasn't just us people all across, you know, machine learning researchers, machine learning practitioners were building their own tooling and infrastructure. And that was one of the things that we felt was really holding back progress. And so that's how we slowly and kind of gradually got into saying, Hey, we could build better tools here. >>We could build, we could try to make this easier to do so that all of these people don't have to build their own infrastructure. They can focus on the actual machine learning applications that they're trying to build. And so we started, Ray started this open source project for basically scaling Python applications and scaling machine learning applications. And, well, initially we were running around Berkeley trying to get all of our friends to try it out and, and adopt it and, you know, and give us feedback. And if it didn't work, we would debug it right away. And that slow, you know, that gradually turned into more companies starting to adopt it, bigger teams starting to adopt it, external contributors starting to, to contribute back to the open source project and make it better. And, you know, before you know it, we were hosting meetups, giving to talks, running tutorials, and the project was just taking off. And so that's a big part of what we continue to develop today at any scale, is like really fostering this open source community, growing the open source user base, making sure Ray is just the best way to scale Python applications and, and machine learning applications. >>So, so this was a graduate school project That's right. You say on, on your way to getting your doctorate and now you commercializing now, right? Yeah. I mean, so you're being able to offer it, first off, what a journey that was, right? I mean, who would've thought Absolutely. I guess you probably did think that at some point, but >>No, you know, when we started, when we were working on Ray, we actually didn't anticipate becoming a company, or we at least just weren't looking that far ahead. We were really excited about solving this problem of making distributed computing easy, you know, getting to the point where developers just don't have to learn about infrastructure and distributed systems, but get all the benefits. And of course, it wasn't until, you know, later on as we were graduating from Berkeley and we wanted to continue really taking this project further and, and really solving this problem that it, we realized it made sense to start a company. >>So help me out, like, like what, what, and I might have missed this, so I apologize if I did, but in terms of, of Ray's that building block and essential for your, your ML or AI work down the road, you know, what, what is it doing for me or what, what will it allow me to do in either one of those realms that I, I can't do now? >>Yeah. And so, so like why use Ray versus not using Ray? Yeah, I think the, the answer is that you, you know, if you're doing ai, you need to scale. It's becoming, if you don't find that to be the case today, you probably will tomorrow, you know, or the day after that. And so it's really increasingly, it's a requirement. It's not an option. And so if you're scaling, if you're trying to build these scalable applications you are building, you're either going to use Ray or, or something like Ray or you're going to build the infrastructure yourself and building the infrastructure yourself, that's a long journey. >>So why take that on, right? >>And many of the companies we work with don't want to be in the business of building and managing infrastructure. No. Because, you know, if they, they want their their best engineers to build their product, right? To, to get their product to market faster. >>I want, I want you to do that for me. >>Right? Exactly. And so, you know, we can really accelerate what these teams can do and, you know, and if we can make the infrastructure something they just don't have to think about, that's, that's why you would choose to use Ray. >>Okay. You know, between a and I and ml are, are they different animals in terms of what you're trying to get done or what Ray can do? >>Yeah, and actually I should say like, it's not just, you know, teams that are new teams that are starting out, that are using Ray, many companies that have built, already built their own infrastructure will then switch to using Ray. And to give you a few examples, like Uber runs all their deep learning on Ray, okay. And, you know, open ai, which is really at the frontier of training large models and, and you know, pushing the boundaries of, of ai, they train their largest models using Ray. You know, companies like Shopify rebuilt their entire machine learning platform using Ray, >>But they started somewhere else. >>They had, this is all, you know, like, it's not like the v1, you know, of their, of their machine learning infrastructure. This is like, they did it a different way before, this is like the second version or the third iteration of of, of how they're doing it. And they realize often it's because, you know, I mean in the case of, of Uber, just to give you one example, they built a system called hova for scaling deep learning on a bunch of GPUs. Right Now, as you scale deep learning on GPUs for them, the bottleneck shifted away from, you know, as you scale GPU's training, the bottleneck shifted away from training and to the data ingest and pre-processing. And they wanted to scale data ingest and pre-processing on CPUs. So now Hova, it's a deep learning framework. It doesn't do the data ingest and pre-processing on CPUs, but you can, if you run Hova on top of Ray, you can scale training on GPUs. >>And then Ray has another library called Ray Data you can, that lets you scale the ingest and pre-processing on CPUs. You can pipeline them together. And that allowed them to train larger models on more data before, just to take one example, ETA prediction, if you get in an Uber, it tells you what time you're supposed to arrive. Sure. That uses a deep learning model called d eta. And before they were able to train on about two weeks worth of data. Now, you know, using Ray and for scaling the data, ingestive pre-processing and training, they can train on much more data. You know, you can get more accurate ETA predictions. So that's just one example of the kind of benefit they were able to get. Right. Also, because it's running on top of, of Ray and Ray has this ecosystem of libraries, you know, they can also use Ray's hyper parameter tuning library to do hyper parameter tuning for their deep learning models. >>They can also use it for inference and you know, because these are all built on top of Ray, they inherit the like, elasticity and fault tolerance of running on top of Ray. So really it simplifies things on the infrastructure side cuz there's just, if you have Ray as common infrastructure for your machine learning workloads, there's just one system to, to kind of manage and operate. And if you are, it simplifies things for the end users like the developers because from their perspective, they're just writing a Python application. They don't have to learn how to use three different distributed systems and stitch them together and all of this. >>So aws, before I let you go, how do they come into play here for you? I mean, are you part of the showcase, a startup showcase? So obviously a major partner and major figure in the offering that you're presenting >>People? Yeah, well you can run. So any scale is a managed ray service. Like any scale is just the best way to run Ray and deploy Ray. And we run on top of aws. So many of our customers are, you know, using Ray through any scale on aws. And so we work very closely together and, and you know, we have, we have joint customers and basically, and you know, a lot of the value that any scale is adding on top of Ray is around the production story. So basically, you know, things like high availability, things like failure handling, retry alerting, persistence, reproducibility, these are a lot of the value, the values of, you know, the value that our platform adds on top of the open source project. A lot of stuff as well around collaboration, you know, imagine you are, you, something goes wrong with your application, your production job, you want to debug it, you can just share the URL with your, your coworker. They can click a button, reproduce the exact same thing, look at the same logs, you know, and, and, and figure out what's going on. And also a lot around, one thing that's, that's important for a lot of our customers is efficiency around cost. And so we >>Support every customer. >>Exactly. A lot of people are spending a lot of money on, on aws. Yeah. Right? And so any scale supports running out of the box on cheaper like spot instances, these preempt instances, which, you know, just reduce costs by quite a bit. And so things like that. >>Well, the company is any scale and you're on the show floor, right? So if you're having a chance to watch this during reinvent, go down and check 'em out. Robert Ashihara joining us here, the co-founder and ceo and Robert, thanks for being with us. Yeah. Here on the cube. Really enjoyed it. Me too. Thanks so much. Boy, three years graduate program and boom, here you are, you know, with off to the enterprise you go. Very nicely done. All right, we're gonna continue our coverage here on the Cube with more here from Las Vegas. We're the Venetian, we're AWS Reinvent 22 and you're watching the Cube, the leader in high tech coverage.
SUMMARY :
scale as the co-founder and CEO of the company, Robert and n, you are Robert. And thank you. for those at home and might not be familiar with what you do. Three years now. Yeah, So if you wanna do do ai, you're not, you're probably not just doing it on your laptop, It just, you know, we'll handle that for you. I mean, you talk about the complexity. can fail, one is the scale required, you know, moving. And how do you remain flexible? I think you said you worked on it you know, machine learning researchers, machine learning practitioners were building their own tooling And, you know, before you know it, we were hosting meetups, I guess you probably did think that at some point, distributed computing easy, you know, getting to the point where developers just don't have to learn It's becoming, if you don't find that to be the case today, No. Because, you know, if they, they want their their best engineers to build their product, And so, you know, we can really accelerate what these teams can do to get done or what Ray can do? And to give you a few examples, like Uber runs all their deep learning on Ray, They had, this is all, you know, like, it's not like the v1, And then Ray has another library called Ray Data you can, that lets you scale the ingest and pre-processing on CPUs. And if you are, it simplifies things for the end users reproduce the exact same thing, look at the same logs, you know, and, and, and figure out what's going on. these preempt instances, which, you know, just reduce costs by quite a bit. Boy, three years graduate program and boom, here you are, you know, with off to the enterprise you
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David Shacochis, Lumen | AWS re:Invent 2022
(upbeat music) >> Hello, friends. Welcome back to The Cube's live coverage of AWS re:Invent 2022. We're in Vegas. Lovely Las Vegas. Beautiful outside, although I have only seen outside today once, but very excited to be at re:Invent. We're hearing between 50,000 and 70,000 attendees and it's insane, but people are ready to be back. This morning's keynote by CEO Adam Selipsky was full of great messages, big focus on data, customers, partners, the ecosystem. So excited. And I'm very pleased to welcome back one of our alumni to the program, David Shacochis, VP Enterprise Portfolio Strategy Product Management at Lumen. David, welcome back. >> Lisa, good to be here. The Five Timers Club. >> You are in the Five Timers Club. This is David's fifth appearance on the show. And we were talking before we went live- >> Do we do the jacket now and do we do the jacket later? >> Yeah, the jacket will come later. >> Okay. >> The Five Timers Club, like on SNL. We're going to have that for The Cube. We'll get you measured up and get that all fitted for you. >> That'd be better. >> So talk a little bit about Lumen. 'Cause last time you hear it wasn't Lumen. >> We weren't Lumen last time. So this is the first time... last time we were here on The Cube at re:Invent. This was probably 2019 or so. We were a different company. The company was called CenturyLink back then. We rebranded in 2020 to really represent our identity as a delivery of...as a solutions provider over our fiber network. So Lumen is the corporate brand, the company name. It represents basically a lot of the fiber that's been laid throughout the world and in North America and in enterprise metropolitan areas over the past 10 to 15 years. You know, companies like CenturyLink and Quest and Level 3, all those companies have really rolled up into building that core asset of the network. So Lumen is really the brand for the 21st century for the company, really focused on delivering services for the enterprise and then delivering a lot of value added services around that core network asset. >> So rebranding during the pandemic, what's been the customer feedback and sentiment? >> Yeah, I think customers have really actually appreciated it as certainly a more technology oriented brand, right? Sort of shifting away a little bit from some of the communications and telecom background of the company and the heritage. And while those assets that were built up during that period of time have been substantial, and we still build off of those assets going forward, really what a lot of the customer feedback has been is that it puts us in a posture to be a little bit more of a business solutions provider for customers, right? So there's a lot of things that we can do with that core network asset, the fiber networking a lot of the services that we launch on that in terms of public IP, you know, public internet capacity, private networking, private VPNs, VoIP and voice services. These are services that you'd expect from a company like that. But there's a lot of services inside the Lumen brand that you might surprise you, right? There's an edge computing capability that can deliver five milliseconds of latency within 95% of North American enterprise. >> Wow. >> There's a threat detection lab that goes and takes all of the traffic flowing over the public side of our network and analyzes it in a data lake and turns it into threat intelligence that we then offer off to our customers on a subscription basis. There's a production house that goes and, you know, does production networking for major sports arenas and sports events. There's a wide range of services inside of Lumen that really what the Lumen brand allows us to do is start talking about what those services can do and what networking can do for our customers in the enterprise in a more comprehensive way. >> So good changes, big brand changes for Lumen in the last couple of years. Also, I mean, during a time of such turmoil in the world, we've seen work change dramatically. You know, everybody...companies had to pivot massively quickly a couple years ago. >> Yep. >> Almost approaching three years ago, which is crazy amazing to be digital because they had to be able to survive. >> They did >> Now they're looking at being able to thrive, but now we're also in this hybrid work environment. The future of work has changed. >> Totally. >> Almost permanently. >> Yep. >> How is Lumen positioned to address some of the permanent changes to the work environments? Like the last time we were at re:Invented- >> Yeah. >> In person. This didn't exist. >> That's right. So really, it's one of the things we talk to our customers almost the most about is this idea of the future of work. And, you know, we really think about the future of work as about, you know, workers and workloads and the networks that connect them. You think about how much all of those demands are shifting and changing, right? What we were talking about, and it's very easy for all of us to conceptualize what the changing face of the worker looks like, whether those are knowledge workers or frontline workers the venues in which people are working the environments and that connectivity, predictability of those work desk environments changes so significantly. But workloads are changing and, you know we're sitting here at a trade show that does nothing but celebrate the transformation of workloads. Workloads running in ways in business logic and capturing of data and analysis of data. The changing methodologies and the changing formats of workloads, and then the changing venues for workloads. So workloads are running in places that never used to be data centers before. Workloads are running in interesting places and in different and challenging locations for what didn't used to be the data center. And so, you know, the workloads and the workloads are in a very dynamic situation. And the networks that connect them have to be dynamic, and they have to be flexible. And that's really why a lot of what Lumen invests in is working on the networks that connect workers and workloads both from a visibility and a managed services perspective to make sure that we're removing blind spots and then removing potential choke points and capacity issues, but then also being adaptable and dynamic enough to be able to go and reconfigure that network to reach all of the different places that, you know, workers and workloads are going to evolve into. What you'll find in a lot of cases, you know, the workers...a common scenario in the enterprise. A 500 person company with, you know, five offices and maybe one major facility. You know, that's now a 505 office company. >> Right. >> Right? The challenge of the network and the challenge of connecting workers and workloads is really one of the main conversations we have with our customers heading into this 21st century. >> What are some of the things that they're looking forward to in terms of embracing the future of work knowing this is probably how it's going to remain? >> Yeah, I think companies are really starting to experiment carefully and start to think about what they can do and certainly think about what they can do in the cloud with things like what the AWS platform allows them to do with some of the AWS abstractions and the AWS services allow them to start writing software for, and they're starting to really carefully, but very creatively and reach out into their you know, their base of enterprise data, their base of enterprise value to start running some experiments. We actually had a really interesting example of that in a session that Lumen shared here at re:Invent yesterday. You know, for the few hundred people that were there. You know, I think we got a lot of great feedback. It was really interesting session about the...really gets at this issue of the future of work and the changing ways that people are working. It actually was a really cool use case we worked on with Major League Baseball, Fox Sports, and AWS with the... using the Lumen network to essentially virtualize the production truck. Right? So you've all heard that, you know, the sports metaphor of, you know, the folks in the booth were sitting there started looking down and they're saying, oh great job by the guys or the gals in the truck. >> Yep. >> Right? That are, you know, that bring in that replay or great camera angle. They're always talking about the team and their production truck. Well, that production truck is literally a truck sitting outside the stadium. >> Yep. >> Full of electronics and software and gear. We were able to go and for a Major League Baseball game in...back in August, we were able to go and work with AWS, using the Lumen network, working with our partners and our customers at Fox Sports and virtualize all of that gear inside the truck. >> Wow. That's outstanding. >> Yep. So it was a live game. You know, they simulcast it, right? So, you know, we did our part of the broadcast and many hundreds of people, you know, saw that live broadcast was the first time they tried doing it. But, you know, to your point, what are enterprises doing? They're really starting to experiment, sort to push the envelope, right? They're kind of running things in new ways, you know, obviously hedging their bets, right? And sort of moving their way and sort of blue-green testing their way into the future by trying things out. But, you know, this is a massive revenue opportunity for a Major League Baseball game. You know, a premier, you know, Sunday night baseball contest between the Yankees and the Cardinals. We were able to go and take the entire truck, virtualize it down to a small rack of connectivity gear. Basically have that production network run over redundant fiber paths on the Lumen network up into AWS. And AWS is where all that software worked. The technical director of the show sitting in his office in North Carolina. >> Wow. >> The sound engineer is sitting in, you know, on his porch in Connecticut. Right? They were able to go and do the work of production anywhere while connected to AWS and then using the Lumen network, right? You know, the high powered capabilities of Lumens network underlay to be able to, you know, go and design a network topology and a worked topology that really wasn't possible before. >> Right. It's nice to hear, to your point, that customers are really embracing experimentation. >> Right. >> That's challenging to, obviously there was a big massive forcing function a couple of years ago where they didn't have a choice if they wanted to survive and eventually succeed and grow. >> Yeah. >> But the mindset of experimentation requires cultural change and that's a hard thing to do especially for I would think legacy organizations like Major League Baseball, but it sounds like they have the appetite. >> Yeah. They have the interest. >> They've been a fairly innovative organization for some time. But, you know, you're right. That idea of experimenting and that idea of trying out new things. Many people have observed, right? It's that forcing function of the pandemic that really drove a lot of organizations to go and make a lot of moves really quickly. And then they realized, oh, wait a minute. You know... I guess there's some sort of storytelling metaphor in there at some point of people realizing, oh wait, I can swim in these waters, right? I can do this. And so now they're starting to experiment and push the envelope even more using platforms like AWS, but then using a lot of the folks in the AWS partner network like Lumen, who are designing and sort of similarly inspired to deliver, you know, on demand and virtualized and dynamic capabilities within the core of our network and then within the services that our network can and the ways that our network connects to AWS. All of that experimentation now is possible because a lot of the things you need to do to try out the experiment are things you can get on demand and you can kind of pat, you can move back, you can learn. You can try new things and you can evolve. >> Right. >> Yep. >> Right. Absolutely. What are some of the things that you're excited about as, you know, here was this forcing function a couple years ago, we're coming out of that now, but the world has changed. The future of work as you are so brilliantly articulated has changed permanently. What are you excited about in terms of Lumen and AWS going forward? As we saw a lot of announcements this morning, big focus on data, vision of AWS is really that flywheel with Adams Selipsky is really, really going. What are you excited about going forward into 2023? >> Yeah, I mean we've been working with AWS for so long and have been critical partners for so long that, you know, I think a lot of it is continuation of a lot of the great work we've been doing. We've been investing in our own capabilities around the AWS partner network. You know, we're actually in a fairly unique position, you know, and we like to think that we're that unique position around the future of work where between workers, workloads and the networks that connect them. Our fingers are on a lot of those pulse points, right? Our fingers are on at really at the nexus of a lot of those dynamics. And our investment with AWS even puts us even more so in a position to go where a lot of the workloads are being transformed, right? So that's why, you know, we've invested in being one of the few network operators that is in the AWS partner network at the advanced tier that have the managed services competency, that have the migration competency and the network competency. You can count on one hand the number of network operators that have actually invested at that level with AWS. And there's an even smaller number that is, you know, based here in the United States. So, you know, I think that investment with AWS, investment in their partner programs and then investment co-innovation with AWS on things like that MLB use case really puts us in a position to keep on doing these kinds of things within the AWS partner network. And that's one of the biggest things we could possibly be excited about. >> So what does the go to market look like? Is it Lumen goes in, brings in AWS, vice versa? Both? >> Yeah, so a lot of being a member of the AWS partner network you have a lot of flexibility. You know, we have a lot of customers that are, you know, directly working with AWS. We have a lot of customers that would basically look to us to deliver the solution and, you know, and buy it all as a complete turnkey capability. So we have customers that do both. We have customers that, you know, just look to Lumen for the Lumen adjacent services and then pay, you know, pay a separate bill with AWS. So there's a lot of flexibility in the partner network in terms of what Lumen can deliver as a service, Lumen can deliver as a complete solution and then what parts of its with AWS and their platform factors into on an on-demand usage basis. >> And that would all be determined I imagine by what the customer really needs in their environment? >> Yeah, and sort of their own cloud strategy. There's a lot of customers who are all in on AWS and are really trying to driving and innovating and using some of the higher level services inside the AWS platform. And then there are customers who kind of looked at AWS as one of a few cloud platforms that they want to work with. The Lumen network is compatible and connected to all of them and our services teams are, you know, have the ability to go and let customers sort of take on whatever cloud posture they need. But if they are all in on AWS, there's, you know. Not many networks better to be on than Lumen in order to enable that. >> With that said, last question for you is if you had a bumper sticker or a billboard. Lumen's rebranded since we last saw you. What would that tagline or that phrase of impact be on that bumper sticker? >> Yeah, I'd get in a lot of trouble with our marketing team if I didn't give the actual bumper sticker for the company. But we really think of ourselves as the platform for amazing things. The fourth industrial revolution, everything going on in terms of the future of work, in terms of the future of industrial innovation, in terms of all the data that's being gathered. You know, Adam in the keynote this morning really went into a lot of detail on, you know, the depth of data and the mystery of data and how to harness it all and wrangle it all. It requires a lot of networking and a lot of connectivity. You know, for us to acquire, analyze and act on all that data and Lumen's platform for amazing things really helps forge that path forward to that fourth industrial revolution along with great partners like AWS. >> Outstanding. David, it's been such a pleasure having you back on The Cube. We'll get you fitted for that five timers club jacket. >> It sounds good. (Lisa laughs) >> I'll be back. >> Thanks so much for your insights and your time and well done with what you guys are doing at Lumen and AWS. >> Thanks Lisa. >> For David Shacochis, I'm Lisa Martin. You've been watching The Cube hopefully all day. This is our first full day of coverage at AWS re:Invent '22. Stick around. We'll be back tomorrow, and we know we're going to see you then. Have a great night. (upbeat music)
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Justin Borgman, Starburst & Ashwin Patil, Deloitte | AWS re:Invent 2022
(electronic music) (graphics whoosh) (graphics tinkle) >> Welcome to Las Vegas! It's theCUBE live at AWS re:Invent '22. Lisa Martin here with Dave Vellante. Dave, it is not only great to be back, but this re:Invent seems to be bigger than last year for sure. >> Oh, definitely. I'd say it's double last year. I'd say it's comparable to 2019. Maybe even a little bigger, I've heard it's the largest re:Invent ever. And we're going to talk data, one of our favorite topics. >> We're going to talk data products. We have some great guests. One of them is an alumni who's back with us. Justin Borgman, the CEO of Starburst, and Ashwin Patil also joins us, Principal AI and Data Engineering at Deloitte. Guys, welcome to the program. >> Thank you. >> Together: Thank you. >> Justin, define data products. Give us the scoop, what's goin' on with Starburst. But define data products and the value in it for organizations of productizing data. >> Mm-hmm. So, data products are curated data sets that are able to span across multiple data sets. And I think that's what's makes it particularly unique, is you can span across multiple data sources to create federated data products that allow you to really bring together the business value that you're seeking. And I think ultimately, what's driving the interest in data products is a desire to ultimately facilitate self-service consumption within the enterprise. I think that's the holy grail that we've all been building towards. And data products represents a framework for sort of how you would do that. >> So, monetization is not necessarily a criterion? >> Not necessarily. (Dave's voice drowns) >> But it could be. >> It could be. It can be internal data products or external data products. And in either case, it's really intended to facilitate easier discovery and consumption of data. >> Ashwin, bringing you into the conversation, talk about some of the revenue drivers that data products can help organizations to unlock. >> Sure. Like Justin said, there are internal and external revenue drivers. So internally, a lot of clients are focused around, hey, how do I make the most out of my modernization platform? So, a lot of them are thinking about what AI, what analytics, what can they run to drive consumption? And when you think about consumption, consumption typically requires data from across the enterprise, right? And data from the enterprise is sometimes fragmented in pieces, in places. So, we've gone from being data in too many places to now, data products, helping bring all of that together, and really aid, drive business decisions faster with more data and more accuracy, right? Externally, a lot of that has got to do with how the ecosystems are evolving for data products that use not only company data, but also the ecosystem data that includes customers, that include suppliers and vendors. >> I mean, conceptually, data products, you could say have been around a long time. When I think of financial services, I think that's always been a data product in a sense. But suddenly, there's a lot more conversation about it. There's data mesh, there's data fabric, we could talk about that too, but why do you think now it's coming to the fore again? >> Yeah, I mean, I think it's because historically, there's always been this disconnect between the people that understand data infrastructure, and the people who know the right questions to ask of the data. Generally, these have been two very distinct groups. And so, the interest in data mesh as you mentioned, and data products as a foundational element of it, is really centered around how do we bring these groups together? How do we get the people who know the data the best to participate in the process of creating data to be consumed? Ultimately, again, trying to facilitate greater self-service consumption. And I think that's the real beauty behind it. And I think increasingly, in today's world, people are realizing the data will always be decentralized to some degree. That notion of bringing everything together into one single database has never really been successfully achieved, and is probably even further from the truth at this point in time, given you've got data on-prem and multiple clouds, and multiple different systems. And so, data products and data mesh represents, again, a framework for you to sort of think about data that lives everywhere. >> We did a session this summer with (chuckles) Justin and I, and some others on the data lies. And that was one of the good ol' lies, right? There's a single source of truth. >> Justin: Right. >> And all that is, we've probably never been further from the single source of truth. But actually, you're suggesting that there's maybe multiple truths that the same data can support. Is that a right way to think about it? >> Yeah, exactly. And I think ultimately, you want a single point of access that gives you, at your fingertips, everything that your organization knows about its business today. And that's really what data products aims to do, is sort of curate that for you, and provide high quality data sets that you can trust, that you can now self-service to answer your business question. >> One of the things that, oh, go ahead. >> No, no, I was just going to say, I mean, if you pivot it from the way the usage of data has changed, right? Traditionally, IT has been in the business of providing data to the business users. Today, with more self-service being driven, we want business users to be the drivers of consumption, right? So if you take that backwards one step, it's basically saying, what data do I need to support my business needs, such that IT doesn't always have to get involved in providing that data, or providing the reports on top of that data? So, the data products concept, I think supports that thinking of business-led technology-enabled, or IT-enabled really well. >> Business led. One of the things that Adam Zelinsky talked with John Furrier about just a week or so ago in their pre re:Invent interview, was talking about the role of the data analyst going away. That everybody in an organization, regardless of function, will be able to eventually be a data analyst, and need to evaluate and analyze data for their roles. Talk about data products as a facilitator of that democratization. >> Yeah. We are seeing more and more the concept of citizen data scientists. We are seeing more and more citizens AI. What we are seeing is a general trend, as we move towards self-service, there is going to be a need for business users to be able to access data when they want, how they want, and merge data across the enterprise in ways that they haven't done before, right? Technology today, through products like data products, right, provides you the access to do that. And that's why we are going to see this movement of people of seeing people become more and more self-service oriented, where you're going to democratize the use of AI and analytics into the business users. >> Do you think, when you talk to a data analyst, by the way, about that, he or she will be like, yeah, mm, maybe, good luck with that. So, do ya think maybe there's a sort of an interim step? Because we've had these highly, ZeMac lays this out very well. We've had these highly-centralized, highly-specialized teams. The premise being, oh, that's less expensive. Perhaps data analysts, like functions, get put into the line of business. Do you see that as a bridge or a stepping stone? Because it feels like it's quite a distance between what a data analyst does today, and this nirvana that we talk about. What are your thoughts on that? >> Yeah, I mean, I think there's possibly a new role around a data product manager. Much the way you have product managers in the products you actually build to sell, you might need data product managers to help facilitate and curate the high quality data products that others can consume. And I think that becomes an interesting and important, a skill set. Much the way that data scientist was created as a occupation, if you will, maybe 10 years ago, when previously, those were statisticians, or other names. >> Right. A big risk that many clients are seeing around data products is, how do you drive governance? And to that, to the point that Justin's making, we are going to see that role evolve where governance in the world, where data products are getting democratized is going to become increasingly important in terms of how are data products being generated, how is the propensity of data products towards a more governed environment being managed? And that's going to continue to play an important role as data products evolve. >> Okay, so how do you guys fit, because you take ZeMac's four principles, domain ownership, data as product. And that creates two problems. Governance. (chuckles) Right? How do you automate, and self-service, infrastructure and automated governance. >> Yep. >> Tell us what role Starburst plays in solving all of those, but the latter two in particular. >> Yeah. Well, we're working on all four of those dimensions to some degree, but I think ultimately, what we're focused today is the governance piece, providing fine-grained access controls, which is so important, if you're going to have a single point of access, you better have a way of controlling who has access to what. But secondly, data products allows you to really abstract away or decouple where the data is stored from the business meaning of the data. And I think that's what's so key here is, if we're going to ultimately democratize data as we've talked about, we need to change the conversation from a very storage-centric world, like, oh, that table lives in this system or that system, or that system. And make it much more about the data, and the value that it represents. And I think that's what data products aims to do. >> What about data fabric? I have to say, I'm confused by data fabric. I read this, I feel like Gartner just threw it in there to muck it up. And say, no, no, we get to make up the terms, but I've read data mesh versus data fabric, is data fabric just more sort of the physical infrastructure? And data mesh is more of an organizational construct, or how do you see it? >> Yeah, I'm happy to take that or. So, I mean, to me, it's a little bit of potato potato. I think there are some subtle differences. Data fabric is a little bit more about data movement. Whereas, I think data mesh is a little bit more about accessing the data where it lies. But they're both trying to solve the similar problem, which is that we have data in a wide variety of different data sets. And for us to actually analyze it, we need to have a single view. >> Because Gartner hype cycle says data mesh is DOA- >> Justin: I know. >> Which I think is complete BS, I think is real. You talk to customers that are doing it, they're doing it on AWS, they're trying to extend it across clouds, I mean, it's a real trend. I mean, anyway, that's how I see it. >> Yeah. I feel the word data fabric many a times gets misused. Because when you think about the digitization movement that happened, started almost a decade ago, many companies tried to digitize or create digital twins of their systems into the data world, right? So, everything has an underlying data fabric that replicates what's happening transactionally, or otherwise in the real world. What data mesh does is creates structure that works complimentary to the data fabric, that then lends itself to data products, right? So to me, data products becomes a medium, which drives the connection between data mesh and data fabric into the real world for usage and consumption. >> You should write for Gartner. (all laugh) That's the best explanation I've heard. That made sense! >> That really did. That was excellent. So, when we think about any company these days has to be a data company, whether it's your grocery store, a gas station, a car dealer, what can companies do to start productizing their data, so that they can actually unlock new revenue streams, new routes to market? What are some steps and recommendations that you have? Justin, we'll start with you. >> Sure. I would say the first thing is find data that is ultimately valuable to the consumers within your business, and create a product of it. And the way you do that at Starburst is allow you to essentially create a view of your data that can span multiple data sources. So again, we're decoupling where the data lives. That might be a table that lives in a traditional data warehouse, a table that lives in an operational system like Mongo, a table that lives in a data lake. And you can actually join those together, and represent it as a view, and now make it easily consumable. And so, the end user doesn't need to know, did that live in a data warehouse, an operational database, or a data lake? I'm just accessing that. And I think that's a great, easy way to start in your journey. Because I think if you absorb all the elements of data mesh at once, it can feel overwhelming. And I think that's a great way to start. >> Irrespective of physical location. >> Yes. >> Right? >> Precisely. Yep, multicloud, hybrid cloud, you name it. >> And when you think about the broader landscape, right? For the traditionally, companies that only looked at internal data as a way of driving business decisions. More and more, as things evolve into industry, clouds, or ecosystem data, and companies start going beyond their four walls in terms of the data that they manage or the data that they use to make decisions, I think data products are going to play more and more an important part in that construct where you don't govern all the data that our entities within that ecosystem will govern parts of their data, but that data lives together in the form of data products that are governed somewhat centrally. I mean, kind of like a blockchain system, but not really. >> Justin, for our folks here, as we kind of wrap the segment here, what's the bumper sticker for Starburst, and how you're helping organizations to really be able to build data products that add value to their organization? >> I would say analytics anywhere. Our core ethos is, we want to give you the ability to access data wherever it lives, and understand your business holistically. And our query engine allows you to do that from a query perspective, and data products allows you to bring that up a level and make it consumable. >> Make it consumable. Ashwin, last question for you, here we are, day one of re:Invent, loads of people behind us. Tomorrow all the great keynotes kick up. What are you hoping to take away from re:Invent '22? >> Well, I'm hoping to understand how all of these different entities that are represented here connect with each other, right? And to me, Starburst is an important player in terms of how do you drive connectivity. And to me, as we help plans from a Deloitte perspective, drive that business value, connectivity across all of the technology players is extremely important part. So, integration across those technology players is what I'm trying to get from re:Invent here. >> And so, you guys do, you're dot connectors. (Ashwin chuckles) >> Exactly, excellent. Guys, thank you so much for joining David and me on the program tonight. We appreciate your insights, your time, and probably the best explanation of data fabric versus data mesh. (Justin chuckles) And data products that we've maybe ever had on the show! We appreciate your time, thank you. >> Together: Thank you- >> Thanks, guys. >> All right. For our guests and Dave Vellante, I'm Lisa Martin, you're watching theCUBE, the leader in enterprise and emerging tech coverage. (electronic music)
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Dave, it is not only great to be back, I've heard it's the Justin Borgman, the CEO of Starburst, and the value in it for that are able to span really intended to facilitate into the conversation, And data from the enterprise coming to the fore again? And so, the interest in data mesh and some others on the data lies. And all that is, we've And I think ultimately, you want data do I need to support One of the things that Adam Zelinsky and merge data across the enterprise into the line of business. in the products you And that's going to continue And that creates two problems. all of those, but the data products aims to do. And data mesh is more of an about accessing the data where it lies. You talk to customers that are doing it, and data fabric into the real world That's the best explanation I've heard. recommendations that you have? And the way you do that cloud, you name it. in terms of the data that they manage the ability to access Tomorrow all the great keynotes kick up. And to me, as we help plans And so, you guys do, And data products that we've the leader in enterprise
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Breaking Analysis: re:Invent 2022 marks the next chapter in data & cloud
from the cube studios in Palo Alto in Boston bringing you data-driven insights from the cube and ETR this is breaking analysis with Dave vellante the ascendancy of AWS under the leadership of Andy jassy was marked by a tsunami of data and corresponding cloud services to leverage that data now those Services they mainly came in the form of Primitives I.E basic building blocks that were used by developers to create more sophisticated capabilities AWS in the 2020s being led by CEO Adam solipski will be marked by four high-level Trends in our opinion one A Rush of data that will dwarf anything we've previously seen two a doubling or even tripling down on the basic elements of cloud compute storage database security Etc three a greater emphasis on end-to-end integration of AWS services to simplify and accelerate customer adoption of cloud and four significantly deeper business integration of cloud Beyond it as an underlying element of organizational operations hello and welcome to this week's wikibon Cube insights powered by ETR in this breaking analysis we extract and analyze nuggets from John furrier's annual sit-down with the CEO of AWS we'll share data from ETR and other sources to set the context for the market and competition in cloud and we'll give you our glimpse of what to expect at re invent in 2022. now before we get into the core of our analysis Alibaba has announced earnings they always announced after the big three you know a month later and we've updated our Q3 slash November hyperscale Computing forecast for the year as seen here and we're going to spend a lot of time on this as most of you have seen the bulk of it already but suffice to say alibaba's cloud business is hitting that same macro Trend that we're seeing across the board but a more substantial slowdown than we expected and more substantial than its peers they're facing China headwinds they've been restructuring its Cloud business and it's led to significantly slower growth uh in in the you know low double digits as opposed to where we had it at 15 this puts our year-end estimates for 2022 Revenue at 161 billion still a healthy 34 growth with AWS surpassing 80 billion in 2022 Revenue now on a related note one of the big themes in Cloud that we've been reporting on is how customers are optimizing their Cloud spend it's a technique that they use and when the economy looks a little shaky and here's a graphic that we pulled from aws's website which shows the various pricing plans at a high level as you know they're much more granular than that and more sophisticated but Simplicity we'll just keep it here basically there are four levels first one here is on demand I.E pay by the drink now we're going to jump down to what we've labeled as number two spot instances that's like the right place at the right time I can use that extra capacity in the moment the third is reserved instances or RIS where I pay up front to get a discount and the fourth is sort of optimized savings plans where customers commit to a one or three year term and for a better price now you'll notice we labeled the choices in a different order than AWS presented them on its website and that's because we believe that the order that we chose is the natural progression for customers this started on demand they maybe experiment with spot instances they move to reserve instances when the cloud bill becomes too onerous and if you're large enough you lock in for one or three years okay the interesting thing is the order in which AWS presents them we believe that on-demand accounts for the majority of AWS customer spending now if you think about it those on-demand customers they're also at risk customers yeah sure there's some switching costs like egress and learning curve but many customers they have multiple clouds and they've got experience and so they're kind of already up to a learning curve and if you're not married to AWS with a longer term commitment there's less friction to switch now AWS here presents the most attractive plan from a financial perspective second after on demand and it's also the plan that makes the greatest commitment from a lock-in standpoint now In fairness to AWS it's also true that there is a trend towards subscription-based pricing and we have some data on that this chart is from an ETR drill down survey the end is 300. pay attention to the bars on the right the left side is sort of busy but the pink is subscription and you can see the trend upward the light blue is consumption based or on demand based pricing and you can see there's a steady Trend toward subscription now we'll dig into this in a later episode of Breaking analysis but we'll share with you a little some tidbits with the data that ETR provides you can select which segment is and pass or you can go up the stack Etc but so when you choose is and paths 44 of customers either prefer or are required to use on-demand pricing whereas around 40 percent of customers say they either prefer or are required to use subscription pricing again that's for is so now the further mu you move up the stack the more prominent subscription pricing becomes often with sixty percent or more for the software-based offerings that require or prefer subscription and interestingly cyber security tracks along with software at around 60 percent that that prefer subscription it's likely because as with software you're not shutting down your cyber protection on demand all right let's get into the expectations for reinvent and we're going to start with an observation in data in this 2018 book seeing digital author David michella made the point that whereas most companies apply data on the periphery of their business kind of as an add-on function successful data companies like Google and Amazon and Facebook have placed data at the core of their operations they've operationalized data and they apply machine intelligence to that foundational element why is this the fact is it's not easy to do what the internet Giants have done very very sophisticated engineering and and and cultural discipline and this brings us to reinvent 2022 in the future of cloud machine learning and AI will increasingly be infused into applications we believe the data stack and the application stack are coming together as organizations build data apps and data products data expertise is moving from the domain of Highly specialized individuals to Everyday business people and we are just at the cusp of this trend this will in our view be a massive theme of not only re invent 22 but of cloud in the 2020s the vision of data mesh We Believe jamachtagani's principles will be realized in this decade now what we'd like to do now is share with you a glimpse of the thinking of Adam solipsky from his sit down with John Furrier each year John has a one-on-one conversation with the CEO of AWS AWS he's been doing this for years and the outcome is a better understanding of the directional thinking of the leader of the number one Cloud platform so we're now going to share some direct quotes I'm going to run through them with some commentary and then bring in some ETR data to analyze the market implications here we go this is from solipsky quote I.T in general and data are moving from departments into becoming intrinsic parts of how businesses function okay we're talking here about deeper business integration let's go on to the next one quote in time we'll stop talking about people who have the word analyst we inserted data he meant data data analyst in their title rather will have hundreds of millions of people who analyze data as part of their day-to-day job most of whom will not have the word analyst anywhere in their title we're talking about graphic designers and pizza shop owners and product managers and data scientists as well he threw that in I'm going to come back to that very interesting so he's talking about here about democratizing data operationalizing data next quote customers need to be able to take an end-to-end integrated view of their entire data Journey from ingestion to storage to harmonizing the data to being able to query it doing business Intelligence and human-based Analysis and being able to collaborate and share data and we've been putting together we being Amazon together a broad Suite of tools from database to analytics to business intelligence to help customers with that and this last statement it's true Amazon has a lot of tools and you know they're beginning to become more and more integrated but again under jassy there was not a lot of emphasis on that end-to-end integrated view we believe it's clear from these statements that solipsky's customer interactions are leading him to underscore that the time has come for this capability okay continuing quote if you have data in one place you shouldn't have to move it every time you want to analyze that data couldn't agree more it would be much better if you could leave that data in place avoid all the ETL which has become a nasty three-letter word more and more we're building capabilities where you can query that data in place end quote okay this we see a lot in the marketplace Oracle with mySQL Heatwave the entire Trend toward converge database snowflake [Â __Â ] extending their platforms into transaction and analytics respectively and so forth a lot of the partners are are doing things as well in that vein let's go into the next quote the other phenomenon is infusing machine learning into all those capabilities yes the comments from the michelleographic come into play here infusing Ai and machine intelligence everywhere next one quote it's not a data Cloud it's not a separate Cloud it's a series of broad but integrated capabilities to help you manage the end-to-end life cycle of your data there you go we AWS are the cloud we're going to come back to that in a moment as well next set of comments around data very interesting here quote data governance is a huge issue really what customers need is to find the right balance of their organization between access to data and control and if you provide too much access then you're nervous that your data is going to end up in places that it shouldn't shouldn't be viewed by people who shouldn't be viewing it and you feel like you lack security around that data and by the way what happens then is people overreact and they lock it down so that almost nobody can see it it's those handcuffs there's data and asset are reliability we've talked about that for years okay very well put by solipsky but this is a gap in our in our view within AWS today and we're we're hoping that they close it at reinvent it's not easy to share data in a safe way within AWS today outside of your organization so we're going to look for that at re invent 2022. now all this leads to the following statement by solipsky quote data clean room is a really interesting area and I think there's a lot of different Industries in which clean rooms are applicable I think that clean rooms are an interesting way of enabling multiple parties to share and collaborate on the data while completely respecting each party's rights and their privacy mandate okay again this is a gap currently within AWS today in our view and we know snowflake is well down this path and databricks with Delta sharing is also on this curve so AWS has to address this and demonstrate this end-to-end data integration and the ability to safely share data in our view now let's bring in some ETR spending data to put some context around these comments with reference points in the form of AWS itself and its competitors and partners here's a chart from ETR that shows Net score or spending momentum on the x-axis an overlap or pervasiveness in the survey um sorry let me go back up the net scores on the y-axis and overlap or pervasiveness in the survey is on the x-axis so spending momentum by pervasiveness okay or should have share within the data set the table that's inserted there with the Reds and the greens that informs us to how the dots are positioned so it's Net score and then the shared ends are how the plots are determined now we've filtered the data on the three big data segments analytics database and machine learning slash Ai and we've only selected one company with fewer than 100 ends in the survey and that's databricks you'll see why in a moment the red dotted line indicates highly elevated customer spend at 40 percent now as usual snowflake outperforms all players on the y-axis with a Net score of 63 percent off the charts all three big U.S cloud players are above that line with Microsoft and AWS dominating the x-axis so very impressive that they have such spending momentum and they're so large and you see a number of other emerging data players like rafana and datadog mongodbs there in the mix and then more established players data players like Splunk and Tableau now you got Cisco who's gonna you know it's a it's a it's a adjacent to their core networking business but they're definitely into you know the analytics business then the really established players in data like Informatica IBM and Oracle all with strong presence but you'll notice in the red from the momentum standpoint now what you're going to see in a moment is we put red highlights around databricks Snowflake and AWS why let's bring that back up and we'll explain so there's no way let's bring that back up Alex if you would there's no way AWS is going to hit the brakes on innovating at the base service level what we call Primitives earlier solipsky told Furrier as much in their sit down that AWS will serve the technical user and data science Community the traditional domain of data bricks and at the same time address the end-to-end integration data sharing and business line requirements that snowflake is positioned to serve now people often ask Snowflake and databricks how will you compete with the likes of AWS and we know the answer focus on data exclusively they have their multi-cloud plays perhaps the more interesting question is how will AWS compete with the likes of Specialists like Snowflake and data bricks and the answer is depicted here in this chart AWS is going to serve both the technical and developer communities and the data science audience and through end-to-end Integrations and future services that simplify the data Journey they're going to serve the business lines as well but the Nuance is in all the other dots in the hundreds or hundreds of thousands that are not shown here and that's the AWS ecosystem you can see AWS has earned the status of the number one Cloud platform that everyone wants to partner with as they say it has over a hundred thousand partners and that ecosystem combined with these capabilities that we're discussing well perhaps behind in areas like data sharing and integrated governance can wildly succeed by offering the capabilities and leveraging its ecosystem now for their part the snowflakes of the world have to stay focused on the mission build the best products possible and develop their own ecosystems to compete and attract the Mind share of both developers and business users and that's why it's so interesting to hear solipski basically say it's not a separate Cloud it's a set of integrated Services well snowflake is in our view building a super cloud on top of AWS Azure and Google when great products meet great sales and marketing good things can happen so this will be really fun to watch what AWS announces in this area at re invent all right one other topic that solipsky talked about was the correlation between serverless and container adoption and you know I don't know if this gets into there certainly their hybrid place maybe it starts to get into their multi-cloud we'll see but we have some data on this so again we're talking about the correlation between serverless and container adoption but before we get into that let's go back to 2017 and listen to what Andy jassy said on the cube about serverless play the clip very very earliest days of AWS Jeff used to say a lot if I were starting Amazon today I'd have built it on top of AWS we didn't have all the capability and all the functionality at that very moment but he knew what was coming and he saw what people were still able to accomplish even with where the services were at that point I think the same thing is true here with Lambda which is I think if Amazon were starting today it's a given they would build it on the cloud and I think we with a lot of the applications that comprise Amazon's consumer business we would build those on on our serverless capabilities now we still have plenty of capabilities and features and functionality we need to add to to Lambda and our various serverless services so that may not be true from the get-go right now but I think if you look at the hundreds of thousands of customers who are building on top of Lambda and lots of real applications you know finra has built a good chunk of their market watch application on top of Lambda and Thompson Reuters has built you know one of their key analytics apps like people are building real serious things on top of Lambda and the pace of iteration you'll see there will increase as well and I really believe that to be true over the next year or two so years ago when Jesse gave a road map that serverless was going to be a key developer platform going forward and so lipsky referenced the correlation between serverless and containers in the Furrier sit down so we wanted to test that within the ETR data set now here's a screen grab of The View across 1300 respondents from the October ETR survey and what we've done here is we've isolated on the cloud computing segment okay so you can see right there cloud computing segment now we've taken the functions from Google AWS Lambda and Microsoft Azure functions all the serverless offerings and we've got Net score on the vertical axis we've got presence in the data set oh by the way 440 by the way is highly elevated remember that and then we've got on the horizontal axis we have the presence in the data center overlap okay that's relative to each other so remember 40 all these guys are above that 40 mark okay so you see that now what we're going to do this is just for serverless and what we're going to do is we're going to turn on containers to see the correlation and see what happens so watch what happens when we click on container boom everything moves to the right you can see all three move to the right Google drops a little bit but all the others now the the filtered end drops as well so you don't have as many people that are aggressively leaning into both but all three move to the right so watch again containers off and then containers on containers off containers on so you can see a really major correlation between containers and serverless okay so to get a better understanding of what that means I call my friend and former Cube co-host Stu miniman what he said was people generally used to think of VMS containers and serverless as distinctly different architectures but the lines are beginning to blur serverless makes things simpler for developers who don't want to worry about underlying infrastructure as solipsky and the data from ETR indicate serverless and containers are coming together but as Stu and I discussed there's a spectrum where on the left you have kind of native Cloud VMS in the middle you got AWS fargate and in the rightmost anchor is Lambda AWS Lambda now traditionally in the cloud if you wanted to use containers developers would have to build a container image they have to select and deploy the ec2 images that they or instances that they wanted to use they have to allocate a certain amount of memory and then fence off the apps in a virtual machine and then run the ec2 instances against the apps and then pay for all those ec2 resources now with AWS fargate you can run containerized apps with less infrastructure management but you still have some you know things that you can you can you can do with the with the infrastructure so with fargate what you do is you'd build the container images then you'd allocate your memory and compute resources then run the app and pay for the resources only when they're used so fargate lets you control the runtime environment while at the same time simplifying the infrastructure management you gotta you don't have to worry about isolating the app and other stuff like choosing server types and patching AWS does all that for you then there's Lambda with Lambda you don't have to worry about any of the underlying server infrastructure you're just running code AS functions so the developer spends their time worrying about the applications and the functions that you're calling the point is there's a movement and we saw in the data towards simplifying the development environment and allowing the cloud vendor AWS in this case to do more of the underlying management now some folks will still want to turn knobs and dials but increasingly we're going to see more higher level service adoption now re invent is always a fire hose of content so let's do a rapid rundown of what to expect we talked about operate optimizing data and the organization we talked about Cloud optimization there'll be a lot of talk on the show floor about best practices and customer sharing data solipsky is leading AWS into the next phase of growth and that means moving beyond I.T transformation into deeper business integration and organizational transformation not just digital transformation organizational transformation so he's leading a multi-vector strategy serving the traditional peeps who want fine-grained access to core services so we'll see continued Innovation compute storage AI Etc and simplification through integration and horizontal apps further up to stack Amazon connect is an example that's often cited now as we've reported many times databricks is moving from its stronghold realm of data science into business intelligence and analytics where snowflake is coming from its data analytics stronghold and moving into the world of data science AWS is going down a path of snowflake meet data bricks with an underlying cloud is and pass layer that puts these three companies on a very interesting trajectory and you can expect AWS to go right after the data sharing opportunity and in doing so it will have to address data governance they go hand in hand okay price performance that is a topic that will never go away and it's something that we haven't mentioned today silicon it's a it's an area we've covered extensively on breaking analysis from Nitro to graviton to the AWS acquisition of Annapurna its secret weapon new special specialized capabilities like inferential and trainium we'd expect something more at re invent maybe new graviton instances David floyer our colleague said he's expecting at some point a complete system on a chip SOC from AWS and maybe an arm-based server to eventually include high-speed cxl connections to devices and memories all to address next-gen applications data intensive applications with low power requirements and lower cost overall now of course every year Swami gives his usual update on machine learning and AI building on Amazon's years of sagemaker innovation perhaps a focus on conversational AI or a better support for vision and maybe better integration across Amazon's portfolio of you know large language models uh neural networks generative AI really infusing AI everywhere of course security always high on the list that reinvent and and Amazon even has reinforce a conference dedicated to it uh to security now here we'd like to see more on supply chain security and perhaps how AWS can help there as well as tooling to make the cio's life easier but the key so far is AWS is much more partner friendly in the security space than say for instance Microsoft traditionally so firms like OCTA and crowdstrike in Palo Alto have plenty of room to play in the AWS ecosystem we'd expect of course to hear something about ESG it's an important topic and hopefully how not only AWS is helping the environment that's important but also how they help customers save money and drive inclusion and diversity again very important topics and finally come back to it reinvent is an ecosystem event it's the Super Bowl of tech events and the ecosystem will be out in full force every tech company on the planet will have a presence and the cube will be featuring many of the partners from the serial floor as well as AWS execs and of course our own independent analysis so you'll definitely want to tune into thecube.net and check out our re invent coverage we start Monday evening and then we go wall to wall through Thursday hopefully my voice will come back we have three sets at the show and our entire team will be there so please reach out or stop by and say hello all right we're going to leave it there for today many thanks to Stu miniman and David floyer for the input to today's episode of course John Furrier for extracting the signal from the noise and a sit down with Adam solipski thanks to Alex Meyerson who was on production and manages the podcast Ken schiffman as well Kristen Martin and Cheryl Knight helped get the word out on social and of course in our newsletters Rob hoef is our editor-in-chief over at siliconangle does some great editing thank thanks to all of you remember all these episodes are available as podcasts wherever you listen you can pop in the headphones go for a walk just search breaking analysis podcast I published each week on wikibon.com at siliconangle.com or you can email me at david.valante at siliconangle.com or DM me at di vallante or please comment on our LinkedIn posts and do check out etr.ai for the best survey data in the Enterprise Tech business this is Dave vellante for the cube insights powered by ETR thanks for watching we'll see it reinvent or we'll see you next time on breaking analysis [Music]
SUMMARY :
so now the further mu you move up the
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Daniel Newman, Futurum Research | AnsibleFest 2022
>>Hey guys. Welcome back to the Cubes coverage of Ansible Fast 2022. This is day two of our wall to wall coverage. Lisa Martin here with John Ferer. John, we're seeing this world where companies are saying if we can't automate it, we need to, The automation market is transforming. There's been a lot of buzz about that. A lot of technical chops here at Ansible Fest. >>Yeah, I mean, we've got a great guest here coming on Cuba alumni, Dean Newman, future room. He travels every event he's got. He's got his nose to the grindstone ear to the ground. Great analysis. I mean, we're gonna get into why it's important. How does Ansible fit into the big picture? It's really gonna be a great segment. The >>Board do it well, John just did my job for me about, I'll introduce him again. Daniel Newman, one of our alumni is Back Principal Analyst at Future and Research. Great to have you back on the cube. >>Yeah, it's good to join you. Excited to be back in Chicago. I don't know if you guys knew this, but for 40 years, this was my hometown. Now I don't necessarily brag about that anymore. I'm, I live in Austin now. I'm a proud Texan, but I did grow up here actually out in the west suburbs. I got off the plane, I felt the cold air, and I almost turned around and said, Does this thing go back? Yeah. Cause I'm, I've, I've grown thin skin. It did not take me long. I, I like the warm, Come on, >>I'm the saying, I'm from California and I got off the plane Monday. I went, Whoa, I need a coat. And I was in Miami a week ago and it was 85. >>Oh goodness. >>Crazy. So you just flew in. Talk about what's going on, your take on, on Ansible. We've talked a lot with the community, with partners, with customers, a lot of momentum. The flywheel of the community is going around and round and round. What are some of your perspectives that you see? >>Yeah, absolutely. Well, let's you know, I'm gonna take a quick step back. We're entering an era where companies are gonna have to figure out how to do more with less. Okay? We've got exponential data growth, we've got more architectural complexity than ever before. Companies are trying to discern how to deal with many different environments. And just at a macro level, Red Hat is one of the companies that is almost certainly gonna be part of this multi-cloud hybrid cloud era. So that should initially give a lot of confidence to the buying group that are looking at how to automate their environments. You're automating workflows, but really with, with Ansible, we're focused on automating it, automating the network. So as companies are kind of dig out, we're entering this recessionary period, Okay, we're gonna call it what it is. The first thing that they're gonna look at is how do we tech our way out of it? >>I had a wonderful one-on-one conversation with ServiceNow ceo, Bill McDermott, and we saw ServiceNow was in focus this morning in the initial opening session. This is the integration, right? Ansible integrating with ServiceNow. What we need to see is infrastructure automation, layers and applications working in concert to basically enable enterprises to be up and running all the time. Let's first fix the problems that are most common. Let's, let's automate 'em, let's script them. And then at some point, let's have them self resolving, which we saw at the end with Project Wisdom. So as I see it, automation is that layer that enterprises, boards, technologists, all can agree upon are basically here's something that can make our business more efficient, more profitable, and it's gonna deal with this short term downturn in a way that tech is actually gonna be the answer. Just like Bill and I said, let's tech our way out of it. >>If you look at the Red Hat being bought by ibm, you see Project Wisdom Project, not a product, it's a project. Project Wisdom is the confluence of research and practitioners kind of coming together with ai. So bringing AI power to the Ansible is interesting. Red Hat, Linux, Rel OpenShift, I mean, Red Hat's kind of position, isn't it? Kind of be in that right spot where a puck might be coming maybe. I mean, what do you think? >>Yeah, as analysts, we're really good at predicting the, the recent past. It's a joke I always like to make, but Red Hat's been building toward the future. I think for some time. Project Wisdom, first of all, I was very encouraged with it. One of the things that many people in the market probably have commented on is how close is IBM in Red Hat? Now, again, it's a $34 billion acquisition that was made, but boy, the cultures of these two companies couldn't be more different. And of course, Red Hat kind of carries this, this sort of middle ground layer where they provide a lot of value in services to companies that maybe don't use IBM at, at, for the public cloud especially. This was a great indication of how you can take the power of IBM's research, which of course has some of the world's most prolific data scientists, engineers, building things for the future. >>You know, you see things like yesterday they launched a, you know, an AI solution. You know, they're building chips, semiconductors, and technologies that are gonna power the future. They're building quantum. Long story short, they have these really brilliant technologists here that could be adding value to Red Hat. And I don't know that the, the world has fully been able to appreciate that. So when, when they got on stage and they kind of say, Here's how IBM is gonna help power the next generation, I was immediately very encouraged by the fact that the two companies are starting to show signs of how they can collaborate to offer value to their customers. Because of course, as John kind of started off with, his question is, they've kind of been where the puck is going. Open source, Linux hybrid cloud, This is the future. In the future. Every company's multi-cloud. And I said in a one-on-one meeting this morning, every company is going to probably have workloads on every cloud, especially large enterprises. >>Yeah. And I think that the secret's gonna be how do you make that evolve? And one of the things that's coming out of the industry over the years, and looking back as historians, we would say, gotta have standards. Well, with cloud, now people standards might slow things down. So you're gonna start to figure out how does the community and the developers are thinking it'll be the canary in the coal mine. And I'd love to get your reaction on that, because we got Cuban next week. You're seeing people kind of align and try to win the developers, which, you know, I always laugh cuz like, you don't wanna win, you want, you want them on your team, but you don't wanna win them. It's like a, it's like, so developers will decide, >>Well, I, I think what's happening is there are multiple forces that are driving product adoption. And John, getting the developers to support the utilization and adoption of any sort of stack goes a long way. We've seen how sticky it can be, how sticky it is with many of the public cloud pro providers, how sticky it is with certain applications. And it's gonna be sticky here in these interim layers like open source automation. And Red Hat does have a very compelling developer ecosystem. I mean, if you sat in the keynote this morning, I said, you know, if you're not a developer, some of this stuff would've been fairly difficult to understand. But as a developer you saw them laughing at jokes because, you know, what was it the whole part about, you know, it didn't actually, the ping wasn't a success, right? And everybody started laughing and you know, I, I was sitting next to someone who wasn't technical and, and you know, she kinda goes, What, what was so funny? >>I'm like, well, he said it worked. Do you see that? It said zero data trans or whatever that was. So, but if I may just really quickly, one, one other thing I did wanna say about Project Wisdom, John, that the low code and no code to the full stack developer is a continuum that every technology company is gonna have to think deeply about as we go to the future. Because the people that tend to know the process that needs to be automated tend to not be able to code it. And so we've seen every automation company on the planet sort of figuring out and how to address this low code, no code environment. I think the power of this partnership between IBM Research and Red Hat is that they have an incredibly deep bench of capabilities to do things like, like self-training. Okay, you've got so much data, such significant size models and accuracy is a problem, but we need systems that can self teach. They need to be able self-teach, self learn, self-heal so that we can actually get to the crux of what automation is supposed to do for us. And that's supposed to take the mundane out and enable those humans that know how to code to work on the really difficult and hard stuff because the automation's not gonna replace any of that stuff anytime soon. >>So where do you think looking at, at the partnership and the evolution of it between IBM research and Red Hat, and you're saying, you know, they're, they're, they're finally getting this synergy together. How is it gonna affect the future of automation and how is it poised to give them a competitive advantage in the market? >>Yeah, I think the future or the, the competitive space is that, that is, is ecosystems and integration. So yesterday you heard, you know, Red Hat Ansible focusing on a partnership with aws. You know, this week I was at Oracle Cloud world and they're talking about running their database in aws. And, and so I'm kind of going around to get to the answer to your question, but I think collaboration is sort of the future of growth and innovation. You need multiple companies working towards the same goal to put gobs of resources, that's the technical term, gobs of resources towards doing really hard things. And so Ansible has been very successful in automating and securing and focusing on very certain specific workloads that need to be automated, but we need more and there's gonna be more data created. The proliferation, especially the edge. So you saw all this stuff about Rockwell, How do you really automate the edge at scale? You need large models that are able to look and consume a ton of data that are gonna be continuously learning, and then eventually they're gonna be able to deliver value to these companies at scale. IBM plus Red Hat have really great resources to drive this kind of automation. Having said that, I see those partnerships with aws, with Microsoft, with ibm, with ServiceNow. It's not one player coming to the table. It's a lot of players. They >>Gotta be Switzerland. I mean they have the Switzerland. I mean, but the thing about the Amazon deal is like that marketplace integration essentially puts Ansible once a client's in on, on marketplace and you get the central on the same bill. I mean, that's gonna be a money maker for Ansible. I >>Couldn't agree more, John. I think being part of these public cloud marketplaces is gonna be so critical and having Ansible land and of course AWS largest public cloud by volume, largest marketplace today. And my opinion is that partnership will be extensible to the other public clouds over time. That just makes sense. And so you start, you know, I think we've learned this, John, you've done enough of these interviews that, you know, you start with the biggest, with the highest distribution and probability rates, which in this case right now is aws, but it'll land on in Azure, it'll land in Google and it'll continue to, to grow. And that kind of adoption, streamlining make it consumption more consumable. That's >>Always, I think, Red Hat and Ansible, you nailed it on that whole point about multicloud, because what happens then is why would I want to alienate a marketplace audience to use my product when it could span multiple environments, right? So you saw, you heard that Stephanie yesterday talk about they, they didn't say multiple clouds, multiple environments. And I think that is where I think I see this layer coming in because some companies just have to work on all clouds. That's the way it has to be. Why wouldn't you? >>Yeah. Well every, every company will probably end up with some workloads in every cloud. I just think that is the fate. Whether it's how we consume our SaaS, which a lot of people don't think about, but it always tends to be running on another hyperscale public cloud. Most companies tend to be consuming some workloads from every cloud. It's not always direct. So they might have a single control plane that they tend to lead the way with, but that is only gonna continue to change. And every public cloud company seems to be working on figuring out what their niche is. What is the one thing that sort of drives whether, you know, it is, you know, traditional, we know the commoditization of traditional storage network compute. So now you're seeing things like ai, things like automation, things like the edge collaboration tools, software being put into the, to the forefront because it's a different consumption model, it's a different margin and economic model. And then of course it gives competitive advantages. And we've seen that, you know, I came back from Google Cloud next and at Google Cloud next, you know, you can see they're leaning into the data AI cloud. I mean, that is their focus, like data ai. This is how we get people to come in and start using Google, who in most cases, they're probably using AWS or Microsoft today. >>It's a great specialty cloud right there. That's a big use case. I can run data on Google and run something on aws. >>And then of course you've got all kinds of, and this is a little off topic, but you got sovereignty, compliance, regulatory that tends to drive different clouds over, you know, global clouds like Tencent and Alibaba. You know, if your workloads are in China, >>Well, this comes back down at least to the whole complexity issue. I mean, it has to get complex before it gets easier. And I think that's what we're seeing companies opportunities like Ansible to be like, Okay, tame, tame the complexity. >>Yeah. Yeah, I totally agree with you. I mean, look, when I was watching the demonstrations today, my take is there's so many kind of simple, repeatable and mundane tasks in everyday life that enterprises need to, to automate. Do that first, you know? Then the second thing is working on how do you create self-healing, self-teaching, self-learning, You know, and, and I realize I'm a little broken of a broken record at this, but these are those first things to fix. You know, I know we want to jump to the future where we automate every task and we have multi-term conversational AI that is booking our calendars and driving our cars for us. But in the first place, we just need to say, Hey, the network's down. Like, let's make sure that we can quickly get access back to that network again. Let's make sure that we're able to reach our different zones and locations. Let's make sure that robotic arm is continually doing the thing it's supposed to be doing on the schedule that it's been committed to. That's first. And then we can get to some of these really intensive deep metaverse state of automation that we talk about. Self-learning, data replication, synthetic data. I'm just gonna throw terms around. So I sound super smart. >>In your customer conversations though, from an looking at the automation journey, are you finding most of them, or some percentage is, is wanting to go directly into those really complex projects rather than starting with the basics? >>I don't know that you're, you're finding that the customers want to do that? I think it's the architecture that often ends up being a problem is we as, as the vendor side, will tend to talk about the most complex problems that they're able to solve before companies have really started solving the, the immediate problems that are before them. You know, it's, we talk about, you know, the metaphor of the cloud is a great one, but we talk about the cloud, like it's ubiquitous. Yeah. But less than 30% of our workloads are in the public cloud. Automation is still in very early days and in many industries it's fairly nascent. And doing things like self-healing networks is still something that hasn't even been able to be deployed on an enterprise-wide basis, let alone at the industrial layer. Maybe at the company's on manufacturing PLAs or in oil fields. Like these are places that have difficult to reach infrastructure that needs to be running all the time. We need to build systems and leverage the power of automation to keep that stuff up and running. That's, that's just business value, which by the way is what makes the world go running. Yeah. Awesome. >>A lot of customers and users are struggling to find what's the value in automating certain process, What's the ROI in it? How do you help them get there so that they understand how to start, but truly to make it a journey that is a success. >>ROI tends to be a little bit nebulous. It's one of those things I think a lot of analysts do. Things like TCO analysis Yeah. Is an ROI analysis. I think the businesses actually tend to know what the ROI is gonna be because they can basically look at something like, you know, when you have an msa, here's the downtime, right? Business can typically tell you, you know, I guarantee you Amazon could say, Look for every second of downtime, this is how much commerce it costs us. Yeah. A company can generally say, if it was, you know, we had the energy, the windmills company, like they could say every minute that windmill isn't running, we're creating, you know, X amount less energy. So there's a, there's a time value proposition that companies can determine. Now the question is, is about the deployment. You know, we, I've seen it more nascent, like cybersecurity can tend to be nascent. >>Like what does a breach cost us? Well there's, you know, specific costs of actually getting the breach cured or paying for the cybersecurity services. And then there's the actual, you know, ephemeral costs of brand damage and of risks and customer, you know, negative customer sentiment that potentially comes out of it. With automation, I think it's actually pretty well understood. They can look at, hey, if we can do this many more cycles, if we can keep our uptime at this rate, if we can reduce specific workforce, and I'm always very careful about this because I don't believe automation is about replacement or displacement, but I do think it is about up-leveling and it is about helping people work on things that are complex problems that machines can't solve. I mean, said that if you don't need to put as many bodies on something that can be immediately returned to the organization's bottom line, or those resources can be used for something more innovative. So all those things are pretty well understood. Getting the automation to full deployment at scale, though, I think what often, it's not that roi, it's the timeline that gets misunderstood. Like all it projects, they tend to take longer. And even when things are made really easy, like with what Project Wisdom is trying to do, semantically enable through low code, no code and the ability to get more accuracy, it just never tends to happen quite as fast. So, but that's not an automation problem, That's just the crux of it. >>Okay. What are some of the, the next things on your plate? You're quite a, a busy guy. We, you, you were at Google, you were at Oracle, you're here today. What are some of the next things that we can expect from Daniel Newman? >>Oh boy, I moved Really, I do move really quickly and thank you for that. Well, I'm very excited. I'm taking a couple of work personal days. I don't know if you're a fan, but F1 is this weekend. I'm the US Grand Prix. Oh, you're gonna Austin. So I will be, I live in Austin. Oh. So I will be in Austin. I will be at the Grand Prix. It is work because it, you know, I'm going with a number of our clients that have, have sponsorships there. So I'll be spending time figuring out how the data that comes off of these really fun cars is meaningfully gonna change the world. I'll actually be talking to Splunk CEO at the, at the race on Saturday morning. But yeah, I got a lot of great things. I got a, a conversation coming up with the CEO of Twilio next week. We got a huge week of earnings ahead and so I do a lot of work on that. So I'll be on Bloomberg next week with Emily Chang talking about Microsoft and Google. Love talking to Emily, but just as much love being here on, on the queue with you >>Guys. Well we like to hear that. Who you're rooting for F one's your favorite driver. I, >>I, I like Lando. Do you? I'm Norris. I know it's not necessarily a fan favorite, but I'm a bit of a McLaren guy. I mean obviously I have clients with Oracle and Red Bull with Ball Common Ferrari. I've got Cly Splunk and so I have clients in all. So I'm cheering for all of 'em. And on Sunday I'm actually gonna be in the Williams Paddock. So I don't, I don't know if that's gonna gimme me a chance to really root for anything, but I'm always, always a big fan of the underdog. So maybe Latifi. >>There you go. And the data that comes off the how many central unbeliev, the car, it's crazy's. Such a scientific sport. Believable. >>We could have Christian, I was with Christian Horner yesterday, the team principal from Reside. Oh yeah, yeah. He was at the Oracle event and we did a q and a with him and with the CMO of, it's so much fun. F1 has been unbelievable to watch the momentum and what a great, you know, transitional conversation to to, to CX and automation of experiences for fans as the fan has grown by hundreds of percent. But just to circle back full way, I was very encouraged with what I saw today. Red Hat, Ansible, IBM Strong partnership. I like what they're doing in their expanded ecosystem. And automation, by the way, is gonna be one of the most robust investment areas over the next few years, even as other parts of tech continue to struggle that in cyber security. >>You heard it here. First guys, investment in automation and cyber security straight from two analysts. I got to sit between. For our guests and John Furrier, I'm Lisa Martin, you're watching The Cube Live from Chicago, Ansible Fest 22. John and I will be back after a short break. SO'S stick around.
SUMMARY :
Welcome back to the Cubes coverage of Ansible Fast 2022. He's got his nose to the grindstone ear to the ground. Great to have you back on the cube. I got off the plane, I felt the cold air, and I almost turned around and said, Does this thing go back? And I was in Miami a week ago and it was 85. The flywheel of the community is going around and round So that should initially give a lot of confidence to the buying group that in concert to basically enable enterprises to be up and running all the time. I mean, what do you think? One of the things that many people in the market And I don't know that the, the world has fully been able to appreciate that. And I'd love to get your reaction on that, because we got Cuban next week. And John, getting the developers to support the utilization Because the people that tend to know the process that needs to be the future of automation and how is it poised to give them a competitive advantage in the market? You need large models that are able to look and consume a ton of data that are gonna be continuously I mean, but the thing about the Amazon deal is like that marketplace integration And so you start, And I think that is where I think I see this What is the one thing that sort of drives whether, you know, it is, you know, I can run data on Google regulatory that tends to drive different clouds over, you know, global clouds like Tencent and Alibaba. I mean, it has to get complex before is continually doing the thing it's supposed to be doing on the schedule that it's been committed to. leverage the power of automation to keep that stuff up and running. how to start, but truly to make it a journey that is a success. to know what the ROI is gonna be because they can basically look at something like, you know, I mean, said that if you don't need to put as many bodies on something that What are some of the next things that we can Love talking to Emily, but just as much love being here on, on the queue with you Who you're rooting for F one's your favorite driver. And on Sunday I'm actually gonna be in the Williams Paddock. And the data that comes off the how many central unbeliev, the car, And automation, by the way, is gonna be one of the most robust investment areas over the next few years, I got to sit between.
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Bich Le, Platform9 | Cloud Native at Scale
foreign [Music] to the special presentation of cloud native at scale the cube and Platform 9 special presentation going in and digging into the next generation super cloud infrastructure as code and the future of application development we're here with dick Lee who's the Chief Architect and co-founder of platform nine pick great to see you Cube alumni we we met at openstack event in about eight years ago or later earlier uh when openstack was going great to see you and great congratulations on the success of platform nine thank you very much yeah you guys been at this for a while and this is really the the Year we're seeing the the crossover of kubernetes because of what happens with containers everyone now was realized and you've seen what docker's doing with the new Docker the open source Docker now just the success of containerization and now the kubernetes layer that we've been working on for years is coming bearing fruit this is huge exactly yes and so as infrastructure as code comes in we talked to baskar talking about super cloud I met her about you know the new Arlo our our lawn um you guys just launched the infrastructure's code is going to another level and it's always been devops infrastructure is code that's been the ethos that's been like from day one developers just code I think you saw the rise of serverless and you see now multi-cloud or on the horizon connect the dots for us what is the state of infrastructure as code today so I think I think um I'm glad you mentioned it everybody or most people know about infrastructure as code but with kubernetes I think that project has evolved at the concept even further and these days it's um infrastructure as configuration right so which is an evolution of infrastructure as code so instead of telling the system here's how I want my infrastructure by telling it you know do step a b c and d uh instead with kubernetes you can describe your desired State declaratively using things called manifest resources and then the system kind of magically figures it out and tries to converge the state towards the one that you specify so I think it's it's a even better version of infrastructure as code yeah and that really means it's developer just accessing resources okay that declare okay give me some compute stand me up some turn the lights on turn them off turn them on that's kind of where we see this going and I like the configuration piece some people say composability I mean now with open source so popular you don't have to have to write a lot of code this code being developed and so it's integration it's configuration these are areas that we're starting to see computer science principles around automation machine learning assisting open source because you've got a lot of code that's what you're hearing software supply chain issues so infrastructure as code has to factor in these new Dynamics can you share your opinion on these new dynamics of as open source grows the glue layers the configurations the integration what are the core issues I think one of the major core issues is with all that power comes complexity right so um You know despite its expressive Power Systems like kubernetes and declarative apis let you express a lot of complicated and complex Stacks right but you're dealing with um hundreds if not thousands of these yaml files or resources and so I think you know the emergence of systems and layers to help you manage that complexity is becoming a key Challenge and opportunity in this space I wrote a LinkedIn post today those comments about you know hey Enterprise is the new breed the trend of SAS companies moving uh our consumer consumer-like thinking into the Enterprise has been happening for a long time but now more than ever you're seeing it the old way used to be solve complexity with more complexity and then lock the customer in now with open source it's speed simplification and integration right these are the new Dynam power dynamics for developers so as companies are starting to now deploy and look at kubernetes what are the things that need to be in place because you have some I won't say technical debt but maybe some shortcuts some scripts here that make it look like infrastructure as code people have done some things to simulate or or make infrastructures code happen yes but to do it at scale yes is harder what's your take on this what's your view it's hard because there's a proliferation of of methods tools Technologies so for example today it's a very common for devops and platform engineering tools I mean sorry teams to have to deploy a large number of kubernetes clusters but then apply the applications and configurations on top of those clusters and they're using a wide range of tools to do this right for example maybe ansible or terraform or bash scripts to bring up the infrastructure and then the Clusters and then they may use a different set of tools such as Argo CD or other tools to apply configurations and applications on top of the Clusters so you have this sprawl of tools you also you also have this sprawl of configurations and files because the more objects you're dealing with the more resources you have to manage and there's a risk of drift that people call that where you know you think you have things under control but some people from various teams will make changes here and there and then before the end of the day systems break and you have no idea of tracking them so I think there's real need to kind of unify simplify and try to solve these problems using a smaller more unified set of tools and methodology apologies and that's something that we try to do with this new project Arlon yeah so so we're going to get to our line in a second I want to get to the yr lawn you guys announced that at argocon which was put on here in Silicon Valley at the community meeting by Intuit they had their own little day over their headquarters but before we get there um Bhaskar your CEO came on and he talked about super cloud at our inaugural event what's your definition of super cloud if you had to kind of explain that to someone at a cocktail party or someone in the industry technical how would you look at the super cloud Trend that's emerging has become a thing what's your what would be your contribution to that definition or the narrative well it's it's uh funny because I've actually heard of the term for the first time today speaking to you earlier today but I think based on what you said I I already get kind of some of the the gist and the the main Concepts it seems like uh super cloud the way I interpret that is you know um clouds and infrastructure um programmable infrastructure all of those things are becoming commodity in a way and everyone's got their own flavor but there's a real opportunity for people to solve real business Problems by perhaps trying to abstract away you know all of those various implementations and then building uh um better abstractions that are perhaps business or application specific to help companies and businesses solve real business problems yeah I remember it's a great great definition I remember not to date myself but back in the old days you know IBM had its proprietary Network operating system so the deck for the mini computer vintage deck net and sna respectively um but tcpip came out of the OSI the open systems interconnect and remember ethernet beat token ring out so not to get all nerdy for all the young kids out there look just look up token ring you'll see if I never heard of it it's IBM's you know a connection for the internet at the layer two is Amazon the ethernet right so if TCP could be the kubernetes and containers abstraction that made the industry completely change at that point in history so at every major inflection point where there's been serious industry change and wealth creation and business value there's been an abstraction Yes somewhere yes what's your reaction to that I think um this is um I think a saying that's been heard many times in this industry and I forgot who originated it but um I think the saying goes like there's no problem that can't be solved with another layer of indirection right and we've seen this over and over and over again where Amazon and its peers have inserted this layer that has simplified you know Computing and infrastructure management and I believe this trend is going to continue right the next set of problems are going to be solved with these insertions of additional abstraction layers I think that that's really a yeah it's going to continue it's interesting just when I wrote another post today on LinkedIn called the Silicon Wars AMD stock is down arm has been on the rise we've been reporting for many years now that arm's going to be huge it has become true if you look at the success of the infrastructure as a service layer across the clouds Azure AWS Amazon's clearly way ahead of everybody the stuff that they're doing with the Silicon and the physics and the atoms the pro you know this is where the Innovation they're going so deep and so strong at is the more that they get that gets gone they have more performance so if you're an app developer wouldn't you want the best performance and you'd want to have the best abstraction layer that gives you the most ability to do infrastructures code or infrastructure for configuration for provisioning for managing services and you're seeing that today with service meshes a lot of action going on in the service mesh area in this community of kubecon which we'll be covering so that brings up the whole what's next you guys just announced our lawn at argocon which came out of Intuit we've had Mariana Tesla out our supercloud event she's a CTO you know they're all in the cloud so there contributed that project where did Arlon come from what was the origination what's the purpose why our lawn why this announcement yeah so um the the Inception of the project this was the result of um us realizing that problem that we spoke about earlier which is complexity right with all of this these clouds these infrastructure all the variations around and you know compute storage networks and um the proliferation of tools we talked about the ansibles and terraforms and kubernetes itself you can think of that as another tool right we saw a need to solve that complexity problem and especially for people and users who use kubernetes at scale so when you have you know hundreds of clusters thousands of applications thousands of users spread out over many many locations there there needs to be a system that helps simplify that management right so that means fewer tools more expressive ways of describing the state that you want and more consistency and and that's why um you know we built um Arlon and we built it um recognizing that many of these problems or sub problems have already been solved so Arlon doesn't try to reinvent the wheel it instead rests on the shoulders of several Giants right so for example kubernetes is one building block get Ops and Argo CD is another one which provides a very structured way of applying configuration and then we have projects like cluster API and cross-plane which provide apis for describing infrastructure so Arlon takes all of those building blocks and um builds a thin layer which gives users a very expressive way of defining configuration and desired state so that's that's kind of the Inception and what's the benefit of that what does that give what does that give the developer the user in this case the developers the the platform engineer team members the devops engineers they uh get a ways to provision not just infrastructure and clusters but also applications and configurations they get away a system for provisioning configuring deploying and doing life cycle Management in a in a much simpler way okay especially as I said if you're dealing with a large number of applications so it's like an operating fabric if you will yes for them okay so let's get into what that means for up above and below the the abstraction or thin layer below is the infrastructure we talked a lot about what's going on below that yeah above our workloads at the end of the day and I talked to cxos and um I.T folks that are now devops Engineers they care about the workloads and they want the infrastructure's code to work they want to spend their time getting in the weeds figuring out what happened when someone made a push that that happened or something happened they need observability and they need to to know that it's working that's right and as my workloads running if effectively so how do you guys look at the workload side because now you have multiple workloads on these fabric right so workloads so kubernetes has defined kind of a standard way to describe workloads and you can you know tell kubernetes I want to run this container this particular way or you can use other projects that are in the kubernetes cloud native ecosystem like k-native where you can express your application in more at a higher level right but what's also happening is in addition to the workloads devops and platform engineering teams they need to very often deploy the applications with the Clusters themselves clusters are becoming this commodity it's it's becoming this um host for the application and it kind of comes bundled with it in many cases it's like an appliance right so devops teams have to provision clusters at a really incredible rate and they need to tear them down clusters are becoming more extremely like an ec2 instance spin up a cluster we've heard people used words like that that's right and before Arlon you kind of had to do all of that using a different set of tools as I explained so with our own you can kind of express everything together you can say I want a cluster with a health monitoring stack and a logging stack and this Ingress controller and I want these applications and these security policies you can describe all of that using something we call the profile and then you can stamp out your app your applications and your clusters and manage them in a very essentially standard that creates a mechanism it's standardized declarative kind of configurations and it's like a Playbook you just deploy it now what's this between say a script like I have scripts I can just automate Scripts or yes this is where that um declarative API and um infrastructures configuration comes in right because scripts yes you can automate scripts but the order in which they run matters right they can break things can break in the middle and um and sometimes you need to debug them whereas the declarative way is much more expressive and Powerful you just tell the system what you want and then the system kind of uh figures it out and there are these things called controllers which will in the background reconcile all the state to converge towards your desire to say it's a much more powerful expressive and reliable way of getting things done so infrastructure as configuration is built kind of on it's a superset of infrastructures code because different Evolution you need Edge restaurant's code but then you can configure The Code by just saying do it you're basically declaring and saying go go do that that's right okay so all right so Cloud native at scale take me through your vision of what that means someone says hey what is cloud native at scale mean what's success look like how does it roll out in the future as you that future next couple years I mean people are now starting to figure out okay it's not as easy as it sounds kubernetes has value we're going to hear this year kubecon a lot of this what is cloud native at scale mean yeah there are different interpretations but if you ask me when people think of scale they think of a large number of deployments right geographies many you know supporting thousands or tens or millions of users there's that aspect to scale there's also um an equally important aspect of scale which is also something that we try to address with Arlon and that is just complexity for the people operating this or configuring this right so in order to describe that desired State and in order to perform things like maybe upgrades or updates on a very large scale you want the humans behind that to be able to express and direct the system to do that in in relatively simple terms right and so we want uh the tools and the abstractions and the mechanisms available to the user to be as powerful but as simple as possible so there's I think there's going to be a number and there have been a number of cncf and Cloud native projects that are trying to attack that complexity problem as well and Arlon kind of Falls in in that category okay so I'll put you on the spot where I've got kubecon coming up and obviously this will be shipping this seg series out before what do you expect to see at kubecon issue it's the big story this year what's the what's the most important thing happening is it in the open source community and also within a lot of the the people jockeying for leadership I know there's a lot of projects and still there's some white space on the overall systems map about the different areas get runtime and observability in all these different areas what's the where's the action where's the smoke where's the fire where's the piece where's the tension yeah so uh I think uh one thing that has been happening over the past couple of coupons and I expect to continue and and that is uh the the word on the street is kubernetes getting boring right which is good right or I mean simple well um well maybe yeah invisible no drama right so so the rate of change of the kubernetes features and and all that has slowed but in a positive way um but um there's still a general sentiment and feeling that there's just too much stuff if you look at a stack necessary for uh hosting applications based on kubernetes they're just still too many moving Parts too many uh components right too much complexity I go I keep going back to the complexity problem so I expect kubecon and all the vendors and the players and the startups and the people there to continue to focus on that complexity problem and introduce a further simplifications uh to to the stack yeah Vic you've had a storied career VMware over decades with them uh obviously 12 years for the 14 years or something like that big number co-founder here platform I think it's been around for a while at this game uh we man we'll talk about openstack that project you we interviewed at one of their events so openstack was the beginning of that this new Revolution I remember the early days was it wasn't supposed to be an alternative to Amazon but it was a way to do more cloud cloud native I think we had a Colorado team at that time I mean it's a joke we you know about about the dream it's happening now now at platform nine you guys have been doing this for a while what's the what are you most excited about as the Chief Architect what did you guys double down on what did you guys pivot from or two did you do any pivots did you extend out certain areas because you guys are in a good position right now a lot of DNA in Cloud native um what are you most excited about and what is platform nine bring to the table for customers and for people in the industry watching this yeah so I think our mission really hasn't changed over the years right it's been always about taking complex open source software because open source software it's powerful it solves new problems you know every year and you have new things coming out all the time right openstack was an example within kubernetes took the World by storm but there's always that complexity of you know just configuring it deploying it running it operating it and our mission has always been that we will take all that complexity and just make it you know easy for users to consume regardless of the technology right so the successor to kubernetes you know I don't have a crystal ball but you know you have some indications that people are coming up of new and simpler ways of running applications there are many projects around there who knows what's coming uh next year or the year after that but platform will a Platform 9 will be there and we will you know take the Innovations from the the community we will contribute our own Innovations and make all of those things uh very consumable to customers simpler faster cheaper always a good business model technically to make that happen yeah I think the reigning in the chaos is key you know now we have now visibility into the scale final question before we depart you know this segment um what is that scale how many clusters do you see that would be a high a watermark for an at scale conversation around an Enterprise um is it workloads we're looking at or or clusters how would you yeah how would you describe that and when people try to squint through and evaluate what's a scale what's the at scale kind of threshold yeah and the number of clusters doesn't tell the whole story because clusters can be small in terms of the number of nodes or they can be large but roughly speaking when we say you know large-scale cluster deployments we're talking about um maybe a hundreds uh two thousands yeah and final final question what's the role of the hyperscalers you've got AWS continuing to do well but they got their core I asked they got a pass they're not too too much putting assess out there they have some SAS apps but mostly it's the ecosystem they have marketplaces doing over two billion dollars billions of transactions a year um and and it's just like just sitting there it has really they're now innovating on it but that's going to change ecosystems what's the role the cloud play and the cloud native at scale the the hyperscale yeah Abus Azure Google you mean from a business they have their own interests that you know that they're uh they will keep catering to they they will continue to find ways to lock their users into their ecosystem of uh services and and apis um so I don't think that's going to change right they're just going to keep well they got great uh performance I mean from a from a hardware standpoint yes that's going to be key right yes I think the uh the move from x86 being the dominant away and platform to run workloads is changing right that that that and I think the the hyperscalers really want to be in the game in terms of you know the the new risk and arm ecosystems and platforms yeah that joking aside Paul maritz when he was the CEO of VMware when he took over once said I remember our first year doing the cube the cloud is one big distributed computer it's it's hardware and you've got software and you got middleware and uh he kind of over these kind of tongue-in-cheek but really you're talking about large compute and sets of services that is essentially a distributed computer yes exactly it's we're back in the same game Vic thank you for coming on the segment appreciate your time this is uh Cloud native at scale special presentation with platform nine really unpacking super cloud rlon open source and how to run large-scale applications uh on the cloud cloud native philadelph4 developers and John Furrier with the cube thanks for watching and we'll stay tuned for another great segment coming right up foreign [Music]
SUMMARY :
the successor to kubernetes you know I
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Snehal Antani, Horizon3.ai Market Deepdive
foreign welcome back everyone to our special presentation here at thecube with Horizon 3.a I'm John Furrier host thecube here in Palo Alto back it's niho and Tony CEO and co-founder of horizon 3 for deep dive on going under the hood around the big news and also the platform autonomous pen testing changing the game and security great to see you welcome back thank you John I love what you guys have been doing with the cube huge fan been here a bunch of times and yeah looking forward to the conversation let's get into it all right so what what's the market look like and how do you see it evolving we're in a down Market relative to startups some say our data we're reporting on siliconangle in the cube that yeah there might be a bit of downturn in the economy with inflation but the tech Market is booming because the hyperscalers are still pumping out massive scale and still innovating so so you know for the first time in history this is a recession or downturn where there's now Cloud scale players that are an economic engine what's your view on this where's the market heading relative to the downturn and how are you guys navigating that so um I think about it one the there's a lot of belief out there that we're going to hit a downturn and we started to see that we started to see deals get longer and longer to close back in May across the board in the industry we continue to see deals get at least backloaded in the quarter as people understand their procurement how much money they really have to spend what their earnings are going to be so we're seeing this across the board one is quarters becoming lumpier for tech companies and we think that that's going to become kind of the norm over the next over the next year but what's interesting in our space of security testing is a very basic supply and demand problem the demand for security testing has skyrocketed when I was a CIO eight years ago I only had to worry about my on-prem attack surface my perimeter and Insider threat those are my primary threat vectors now if I was a CIO I have to include multiple clouds all of the data in my SAS offerings my Salesforce account and so on as well as work from home threat vectors and other pieces and I've got Regulatory Compliance in Europe in Asia in in the U.S tons of demand for testing and there's just not enough Supply there's only 5 000 certified pen testers in the United States so I think for starters you have a fundamental supply and demand problem that plays to our strength because we're able to bring a tremendous amount of pen testing supply to the table but now let's flip to if you are the CEO of a large security company or whether it's a Consulting shop or so on you've got a whole bunch of deferred revenue in your business model around security testing services and what we've done in our past in previous companies I worked at is if we didn't think we were going to make the money the quarter with product Revenue we would start to unlock some of that deferred Services Revenue to make the number to hit what we expected Wall Street to hit what Wall Street expected of us in testing that's not possible because there's not enough Supply except us so if I'm the CEO of an mssp or a large security company and I need I see a huge backlog of security testing revenue on the table the easy button to convert that to recognized revenue is Horizon 3. and when I think about the next six months and the amount of Revenue misses we're going to see in security shops especially those that can't fulfill their orders I think there's a ripe opportunity for us to win yeah one of the few opportunities where on any Market you win because the forces will drive your flywheel that's exactly right very basic supply and demand forces that are only increasing with pressure and there's no way it takes 10 years just to build a master hacker just it's a very hard complex space we become the easy button to address that supply problem yeah and this and the autonomous aspect makes appsec reviews as new things get pushed with Cloud native developers they're shifting left but still the security policies need to stay Pace as these new vectors threat vectors appear yeah I mean because that's what's happening a new new thing makes a vector possible that's exactly right I think there's two aspects one is the as you in increase change in your environment you need to increase testing they are absolutely correlated the second thing though is you know for 20 years we focused on remote code execution or rces as an industry what was the latest rce that gave an attacker access to my environment but if you look over the past few years that entire mindset has shifted credentials are the new code execution what I mean by that is if I have a large organization with a hundred a thousand ten thousand employees all it takes is one of them to have a password I can crack in credential spray and gain access to as an attacker and once I've gained access to a single user I'm going to systematically snowball that into something of consequence and so I think that the attackers have shifted away from looking for code execution and looked more towards harvesting credentials and cascading credentials from a regular domain user into an admin this brings up the conversation I would like to do it more Deep dive now shift into more of like the real kind of landscape of the market and your positioning and value proposition in that and that is managed services are becoming really popular as we move into this next next wave of super cloud and multi-cloud and hybrid Cloud because I mean multi-cloud and hybrid hybrid than multi-cloud sounds good on paper but the security Ops become big and one of the things we're reporting with here on the cube and siliconangle the past six months is devops has made the developer the IT team because they've essentially run it now in CI CD pipeline as they say that means it's replaced by data Ops or AI Ops or security Ops and data and security kind of go hand in hand so I can see that playing out do you believe that to be true that that's kind of the new operational kind of beach head that's critical and if so secure if data is part of security that makes security the new it yeah I I think that if you think about organizations hell even for Horizon 3 right now I don't need to hire a CIO I'll have a CSO and that CSO will own it and governance risk and compliance and security operations because at the end of the day the most pressing question for me to answer as a CEO is my security posture IIT is a supporting function of that security posture and we see that at say or a growth stage company like Horizon 3 but when I thought about my time at GE Capital we really shifted to this mindset of security by Design architecture as code and it was very much security driven conversation and I think that is the norm going forward and how do you view the idea that you have to enable a managed service provider with security also managing comp and which then manages the company to enable them to have agile security um security is code because what you're getting at is this autonomous layer that's going to be automated away to make the next talented layer whether it's coder or architect scale so the question is what is abstracted away at at automation seems to be the conversation that's coming out of this big cloud native or super cloud next wave of cloud scale I think there's uh there's two Dimensions to that and honestly I think the more interesting Dimension is not the technical side of it but rather think of the Equifax hack a bunch of years ago had Equifax used a managed security services provider would the CEO have been fired after the breach and the answer is probably not I think the CEO would have transferred enough reputational risk in operational risk to the third party mssp to save his job from being you know from him being fired you can look at that across the board I think that if if I were a CIO again I would be hard-pressed to build my own internal security function because I'm accepting that risk as an executive and we saw what just happened at Uber there's a ton of risk coming with that with the with accepting that as a security person so I think in the future the role of the mssp becomes more significant as a mechanism for transferring enough reputational and operational and legal risk to a third party so that you as the Core Company are able to protect yourself and your people now then what you think is a super cloud printables and Concepts being applied at mssp scale and I think that becomes really interesting talk about the talent opportunity because I think the managed service providers point to markets that are growing and changing also having managed service means that the customers can't always hire Talent hence they go to a Channel or a partner this seems to be a key part of the growth in your area talk about the talent aspect of it yeah um think back to what we saw in Cloud so as as Cloud picked up we saw IBM HP other Hardware companies sell more servers but to fewer customers Amazon Google and others right and so I think something similar is going to happen in the security space where I think you're going to see security tools providers selling more volume but to fewer customers that are just really big mssps so that is the the path forward and I think that the underlying Talent issue gives us economies at scale and that's what we saw this with Cloud we're going to see the same thing in the mssp space I've got a density of Talent Plus a density of automation plus a density of of relationships and ecosystem that give mssps a huge economies of scale advantage over everybody else I mean I want to get into the mssp business sounds like I make a lot of money yeah definitely it's profitable no doubt about it like that I got to ask more on the more of the burden side of it because if you're a partner I don't need another training class I don't need another tool I don't need someone saying this is the highest margin product I need to actually downsize my tools so right now there's hundreds of tools that mssps have all the time dealing with and does the customer so tools platforms we've kind of teased this out in previous conversations together but more more relevant to the mssp is what they do to the customers so talk about this uh burden of tools and the socks out there in the in in the landscape how do you how do you view that and what's the conversation like on average an organization has 130 different cyber security tools installed none of those tools were designed to work together none of those tools are from the same vendor and in fact oftentimes they're from vendors that have competing products and so what we don't have and they're still getting breached in the industry we don't have a tools problem we have an Effectiveness problem we have to reduce the number of tools we have get more out of out of the the effectiveness out of the existing infrastructure build muscle memory you know how to detect and respond to a breach and continuously verify that posture I think that's what the the most successful security organizations have mastered the fundamentals and they mastered that by making sure they were effective in detection and response not mastering it by buying the next shiny AI tool on the defensive side okay so you mentioned supply and demand early since you're brought up economics we'll get into the economic equations here when you have great profits that's going to attract more entrance into the marketplace so as more mssps enter the market you're going to start to see a little bit of competition maybe some fud maybe some price competitive price penetration all kinds of different Tactics get out go on there um how does that impact you because now does that impact your price or are you now part of them just competing on their own value what's that mean for the channel as more entrants come in hey you know I can compete against that other one does that create conflict is that an opportunity does are you neutral on that what's the position it's a great question actually I think the way it plays out is one we are neutral two the mssp has to stand on their own with their own unique value proposition otherwise they're going to become commoditized we saw this in the early cloud provider days the cloud providers that were just basically wrapping existing Hardware with with a race to the bottom pricing model didn't survive those that use the the cloud infrastructure as a starting point to build higher value capabilities they're the ones that have succeeded to this day the same Mo I think will occur in mssps which is there's a base level of capability that they've got to be able to deliver and it is the burden of the mssp to innovate effectively to elevate their value problem it's interesting Dynamic and I brought it up mainly because if you believe that this is going to be a growing New Market price erosion is more in mature markets so it's interesting to see that Dynamic come up and we'll see how that handles on the on the economics and just the macro side of it getting more into kind of like the next gen autonomous pen testing is a leading indicator that a new kind of security assessment is here um if I said that to you how do you respond to that what is this new security assessment mean what does that mean for the customer and to the partner and that that relationship down that whole chain yeah um back to I'm wearing a CIO hat right now don't tell me we're secure in PowerPoint show me we're secure Today Show me where we're secure tomorrow and then show me we're secure again next week because that's what matters to me if you can show me we're secure I can understand the risk I'm accepting and articulate it up to my board to my Regulators up until now we've had a PowerPoint tell me where secure culture and security and I just don't think that's going to last all that much longer so I think the future of security testing and assessment is this shift from a PowerPoint report to truly showing me that my I'm secure enough you guys auto-generate those statements now you mentioned that earlier that's exactly right because the other part is you know the classic way to do security reports was garbage in garbage out you had a human kind of theoretically fill out a spreadsheet that magically came up with the risk score or security posture that doesn't work that's a check the box mentality what you want to have is an accurate High Fidelity understanding of your blind spots your threat vectors what data is at risk what credentials are at risk you want to look at those results over time how quickly did I find problems how quickly did I fix them how often did they reoccur and that is how you get to a show me where secure culture whether I'm a company or I'm a channel partner working with Horizon 3.ai I have to put my name on the line and say Here's a service level agreement I'm going to stand behind there's levels of compliance you mentioned that earlier how do you guys help that area because that becomes I call the you know below the line I got to do it anyway usually it's you know they grind out the work but it has to be fundamental because if the threats vectors are increasing and you're handling it like you say you are the way it is real time today tomorrow the next day you got to have that other stuff flow into it can you describe how that works under the hood yeah there's there's two parts to it the first part is that attackers don't have to hack in with zero days they log in with credentials that they found but often what attackers are doing is chaining together different types of problems so if you have 10 different tactics you can chain those together a number of different ways it's not just 10 to the 10th it's it's actually because you don't you don't have to use all the tactics at once this is a very large number of combinations that an attacker can apply upon you is what it comes down to and so at the base level what you want to have is what are the the primary tactics that are being used and those tactics are always being added to and evolving what are the primary outcomes that an attacker is trying to achieve steal your data disrupt your systems become a domain admin and borrow and now what you have is it actually looks more like a chess game algorithm than it does any sort of hard-coded automation or anything else which is based on the pieces on the board the the it infrastructure I've discovered what is the next best action to become a domain admin or steal your data and that's the underlying innovation in IP we've created which is next best action Knowledge Graph analytics and adaptiveness to figure out how to combine different problems together to achieve an objective that an attacker cares about so the 3D chess players out there I'd say that's more like 3D chess are the practitioners implementing it but when I think about compliance managers I don't see 3D chess players I see back office accountants in my mind like okay are they actually even understand what comes out of that so how do you handle the compliance side do you guys just check the boxes there is it not part of it is it yeah I I know I don't Envision the compliance guys on the front lines identifying vectors do you know what it doesn't even know what it means yeah it's a great question when you think about uh the market segmentation I think there are we've seen are three basic types of users you've got the the really mature high frequency security testing purple team type folks and for them we are the the force multiplier for them to secure the environment you then have the middle group where the IT person and the security person are the same individual they are barely Treading Water they don't know what their attack surface is and they don't know what to focus on we end up that's actually where we started with the barely Treading Water Persona and that's why we had a product that helped those Network Engineers become superheroes the third segment are those that view security and compliance as synonymous and they don't really care about continuous they care about running and checking the box for PCI and forever else and those customers while they use us they are better served by our partner ecosystem and that's really so the the first two categories tend to use us directly self-service pen tests as often as they want that compliance-minded folks end up going through our partners because they're better served there steel great to have you on thanks for this deep dive on um under the hood section of the interview appreciate it and I think autonomous is is an indicator Beyond pen testing pen testing has become like okay penetration security but this is not going away where do you see this evolving what's next what's next for Horizon take a minute to give a plug for what's going on with copy how do you see it I know you got good margins you're raising Capital always raising money you're not yet public um looking good right now as they say yeah yeah well I think the first thing is our company strategy is in three chapters chapter one is become the best security testing platform in the industry period that's it and be very good at helping you find and fix your security blind spots that's chapter one we've been crushing it there with great customer attraction great partner traction chapter two which we've started to enter is look at our results over time to help that that GRC officer or auditor accurately assess the security posture of an organization and we're going to enter that chapter about this time next year longer term though the big Vision I have is how do I use offense to inform defense so for me chapter three is how do I get away from just security testing towards autonomous security overall where you can use our security testing platform to identify ways to attack that informs defensive tools exactly where to focus how to adjust and so on and now you've got offset and integrated learning Loop between attack and defense that's the future never been done before Master the art of attack to become a better Defender is the bigger vision of the company love the new paradigm security congratulations been following you guys we will continue to follow you thanks for coming on the Special Report congratulations on the new Market expansion International going indirect that a big way congratulations thank you John appreciate it okay this is a special presentation with the cube and Horizon 3.ai I'm John Furrier your host thanks for watching thank you
SUMMARY :
the game and security great to see you
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Snehal Antani CEO Perspective
(upbeat music) >> Hello everyone, welcome back to our special presentation with TheCUBE and Horizon3.ai. I'm John Ferrier host of TheCUBE here in Palo Alto with the CEO and co-founder of Horizon3 Snehal Antani who's here with me to talk about the big news, we've been talking about your global expansion, congratulations on the growth, and international, and just overall success of, what looks like to be a very high margin, relevant business in the security space. >> Yeah, thank you John. Very excited to be here and especially this focus on partners, because partners in cyber security have such an important role and we've built a company that enables partners to grow with us. >> We had a chance to talk to some of your staff and some of the people in the industry around the channel. I mean the old school technology vendors would go in build channels and distributed resellers, VARs value added resellers, value added businesses all kinds of different ways to serve customers, indirectly. And then you got the direct sales force. You guys seem to have a perfect product for a hard, profitable, market where channels are starved for solutions in the security space. What did you guys find as you guys launched this? What was some of the feedback? What was some of the reasoning behind- obviously indirect sales helps your margins, you enable MSPs to sell for you, but what's the, what was the epiphany? >> So when you think about the telecommunications industry back in the two thousands, we always talked about the last mile in Telco, right? It was easy to get fiber run to the neighborhood but the last mile from the neighborhood to the house was very difficult. So what we found during Covid was, this was especially true in cybersecurity because in Covid you've got individuals that need security capabilities whether they are IT directors, barely treading water or CSOs and so on. And they needed these trusted relationships to decide what security technologies to use, how to improve their posture. And they're not going to go to just some website to learn. They've got years of relationships built with those regional partners, those regional resellers MSSPs, MSPs, IT consulting shops. So what we did over the past two years was embrace this idea that regional partners are the last mile of cybersecurity. So how do we build a product and a business model that enables those last miles channel partners to make even more revenue using us to underpin their offerings and services and get them to take advantage of the trust that they've built over many hard years and use that trust to not only improve the posture of their customers but have Horizon3 become a force enabler along the way. >> Yeah it's interesting you have that pre-built channel makeup, but also new opportunities for people to bring security 'cause you guys have the node zero capability. 'Cause pen testing is only one of the things you guys are starting to do now. And everyone knows, we've talked about this on our previous interviews, it's hard. People have, y'know, all kinds of AppSec review, application reviews, all the time. And if you're doing cloud native you're constantly pushing new code. So the need for a pen test is kind of a continuous thing. Okay, So I get that. The other thing that I found out on the interviews was, and I want to get your reaction to this, is that there's an existing channel of pen testers that are high IQ, high paid services. So it almost feels like you guys have created kind of like a way to automate some of the basic stuff but still enable the existing folks out there doing this work. I won't say it was below their pay grade but a lot of it was kind of, y'know remedial things, explain and react to that. Because I think that's a key nuance point to this expansion. >> Yeah, so the key thing is how do you run a security test at scale? So if you are a human pen tester maybe in a couple of weeks you could pen test 5,000 hosts. If you're really good, maybe 10,000 hosts. But when you've got a large manufacturer or a bank that's got hundreds of thousands or millions of hosts, there's no way a human's going to be able to do that. So for the really large shops, what we've found is this idea of human machine teaming. Where you run us to run infrastructure testing at scale we'll conduct reconnaissance, we'll do exploitation at scale, we'll find all the juicy interesting stuff. And then that frees up the time for the human to focus on the stuff humans are gifted at. And there's this joke that "Let us focus on all the things that will test at scale, so the human can focus on the problems that get them to speak at DEFCON and let them focus on the really hard interesting juicy stuff while we are executing tests. And at a large scale that's important but also think about Europe. In Germany there are less than 600 certified pen testers for the entire country, in Norway I think there's less than 85, in Estonia there's less than 20. There's just not enough supply of certified testers to be able to effectively meet the demand. >> It's interesting, when you ever have to see these inflection points in industries there's always a 10x multiple or some multiple inflection point that kicks up the growth. Google pioneered site reliability engineers you're seeing it now in cloud native with containers and Kubernetes writing scripts is now going to be more about architecture operating large scale systems. So instead of being a pen tester they're now a pen architect. >> Yeah, well in many ways it's a security by design philosophy which is, I would rather verify my architecture up front, verify my security posture up front, and not wait for the bad guys to show up to poke holes in my environment. And then even economically, the way we design the product most of our users are not pen testers they're actually IT admins, network engineers, people with the CISSP type certification and we give them superpowers. And there are, in back to 10x, for every one certified ethical hacker there are 10 to 20 certified CISSPs. So even the entire experience was designed around those types of security practitioners and network engineers versus the very exquisite pen test types. >> Yeah, it's a great market opportunity. I think this is going to be a big kind of a, an example of how scale works So congratulations. Couple questions I had for you for this announcement was, what are some of the obstacles that you see organizations facing that the channel partners can participate in? 'Cause again, more feet on the street, I get the expansion, but what problems are they solving? >> Yeah, when you think about, back when I was a CIO, there was a very well defined journey I went through. Assess my security posture, I have to assess it at least once or twice a year, I want to assess it as often as possible. From there, as I find problems, the hardest part of my job was deciding what not to fix. And I didn't have enough people to remediate all the issues. So the natural next step is how do I get surge expertise to remediate all of the findings from those assessments. From there, the next thing is, okay while I'm fixing those problems, did my security team or outsourced MSSP detect and respond to those attacks? Not, and if so, great, if not what are the blind spots in my detection response? And then the final step is being that trusted advisor to the executive team, the board, and the regulators around that virtual CISO or strategic security advice. So that is the spectrum of requirements that any customer has. Assess, remediate, verify your detections, and then strategic advice and guidance. Every channel partner has some aspect of those businesses within their portfolio and we enable revenue to be generated for our partners across every one of those. Use us to do assessments at scale, automatically generate the statement of work for everything that we've found, and then our partners make money fixing the issues that we've identified. Use us to audit the blind spots of your security stack and then finally use our results over time to provide strategic advice to the CISO, the board, and their regulators. >> Yeah, it's great, great gap you fill for sure. And with the op, the scale you give other pen testers a lot of growth there. The question that comes up though, I have to ask you and this is what's on people's minds, probably, 'cause it would be, first thing that I would ask Well you guys are kind of new and I get this thing. So what will make you an ideal partner? Why Horizon3.ai as the partner? What do you bring to the table? >> Yeah, I think there's a few things. One is we're approaching our three year anniversary, we've scaled very quickly, we've built a great team. But what differentiates us is our authenticity at scale, our transparency of how we work as a partner, and the fact that we've built a company, that very specifically enables partners to make money, high quality money. In my previous companies I've worked at, partners are kind of relegated to doing low level professional services type work. And if I'm a services shop, that's not going to be very valuable for me. That's a one and done come in, install a product, tune, and so on. What I want, if I'm a partner, is working with technology companies that care deeply about my growth as a partner and then is creating an offering that allows me to white label it, to build my own high margin business above it, give me predictable cost of goods sold so I can build and staff a high functioning organization. That's what we did at Horizon3 is we built the entire company around enabling MSSPs, MSPs, consulting shops, and so on. >> From day one. This is- >> From day one, that was the goal. And so the entire company's been designed you can white label the product, the entire experience can look like yours if you want it to be. The entire company was built from day one to be channel friendly >> This is again, a key point again, I want to double click on that because y'know, at the end of the day, money making's pretty big important thing. Partners don't, channel partners, and resellers, and partners don't want to lose their customer. Want to add value and make high margins. So is it easy to use? How do I consume it? How do I deploy it? You feel comfortable that you guys can deliver on that. >> Yeah, and in fact, a big cultural aspect of Horizon3 is we let our results do the talking. So I don't need to convince people through PowerPoint. What partners will do is they'll show up, they will run us for themselves, they'll run us against some trusted customers of theirs. They get blown away by the results. They get a Horizon3 tattoo at the end. >> Yeah. >> And then they become our biggest champions and advocates. >> And ultimately when you have that land and you can show results and it's a white label, it's an instant money maker. Right? For the partner. That's great Snehal, thanks so much for coming on. Really appreciate it. That's a wrap here, big news and the big news announcement around Horizon3.ai global expansion, new opportunities new channel partners, great product, good for the channel, makes money, helps customers. Can't beat that. I'm John Ferrier with TheCUBE. Thanks for watching. (upbeat music)
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Christian Pedersen, IFS & Sioned Edwards, Aston Martin F1 Team | IFS Unleashed 2022
>>Hey everyone. Welcome back to Miami. Lisa Martin here live with the Cube at IFS Unleashed 2022. We're so excited to be here. We just had a great conversation with Ifss, CEO of Darren Rouse. Now we've got another exciting conversation. F1 is here. You know how much I love f1. Christian Peterson joins us as well, the Chief Product Officer at ifs, and Sean Edwards IT business partner at Aston Martin. F1. Guys, it's great to have you on the program. Thank you for having >>Us. Thank you >>Very much. We were talking about F one. We probably could have an entire conversation just on that, but Christian, I wanna talk with you. It's been three years since the Cube has covered ifs obviously for obvious reasons during that time. So much momentum has happened. IFS cloud was launched about 18 months ago. Give our audience an o, a flavor of IFS, cloud and some of the milestones that you've hit in such a short time period. >>Yeah, I mean IFS cloud is really transformational in many ways. It's transformational for first and foremost for our customers in what enables them to do, but also transformational for us from a technology perspective, how we work and how we do everything. And at the end of the day, it has really surfaced, served around the the, the fact of what we need to do for our customers. And what we saw our customers often do back then, or any company, was they were out looking for EAP solutions or FSM Solutions or EAM Solutions or what have you. And then they were trying to stitch it all together and we, we said like, Hang on a second, these these traditional software s, those are some that I'm guilty. You know, there's some that we actually invented over the years together with analysts. So we invented EER P and we invented CRM and EAM and all these different things. >>But at the end of the day, customers really want a solution to what they are, they are what they're dealing with. And so in these conversations it became very clear that and very repeated conclusions from the conversations that customers wanted something that could manage and help them optimize the use of their assets. Regardless of what industry you're in, assets is such a key component. Either you are using your assets or you're producing assets. Second thing is really get the best use of of your people, your teams and your crew. How do you get the right people on the right job at the same time? How do you assemble the right crew with the right set of skills in the crew? Get them to the right people at the same time. So, and then the final thing is of course customers, you know all the things that you need to do to get customers to answer these ultimate questions, Will you buy from this company again? And they should say yes. That's the ultimate results of moments of service. So that's how we bring it all together and that's what we have been fast at work at. That's what IFS cloud is all about. >>And you, you talked about IFS cloud, being able to to help customers, orchestrate assets, people, customers, Aston Martin being one of those customers. Shawn, you came from ifs so you have kind of the backstory but just give the audience a little bit of, of flavor of your role at Aston Martin and then let's dig into the smart factory. >>Sure. So I previously worked at IFS as a manufacturing consultant. So my bread and butter is production planning in the ERP sector. So we, I Aston Martin didn't have an ERP system pre IFS or a legacy system that wasn't working for them and the team couldn't rely upon it. So what we did was bring IFS in. I was the consultant there and as IFS always preached customer first, well customer first did come and I jumped to support the team. So we've implemented a fully RP solution to manage the production control and the material traceability all the way through from design until delivery to track. And we've mo most recently implemented a warehouse solution at Trackside as well. So we are now tracking our parts going out with the garage. So that's a really exciting time for RFS. In terms of the smart factory, it's not built yet. >>We're we're supposed to move next year. So that's really exciting cause we're quadrupling our footprint. So going from quite a small factory spread out across the North Hampton Share countryside, we're going into one place quadruple in our footprint. And what we're gonna start looking at is using the technology we're implementing there. So enabling 5G to springboard our IFFs implementations going forward with the likes of Internet of things to connect our 15 brand new CMC machines, but also things like R F I D. So that comes with its own challenges on a Formula One car, but it's all about speed of data capture, single point of truth. And IFFs provides that >>And well, Formula One, the first word that comes to mind is speed. >>Absolutely. Second >>Word is crazy. >>We, we are very unique in terms of most customers Christian deals with, they're about speed but also about profit and efficiency. That doesn't matter to us. It is all about time. Time is our currency and if we go quicker in designing and manufacturing, which ifs supports ultimately the cargo quicker. So speed is everything. >>And and if we, if we think of of people, customers and assets at Asset Martin F one, I can't, I can't imagine the quantity of assets that you're building every race weekend and refactoring. >>Absolutely. So a Formula one car that drives out of the garage is made up of 13,000 car parts, most of which, 50% of which we've made in house. So we have to track that all the way through from the smallest metallic component all the way up to the most complex assembly. So orchestrating that and having a single point of truth for people to look at and track is what IFFs has provided us. >>Christian, elaborate on that a little bit in terms of, I mean, what you're facilitating, F1 is such a great example of of speed we talked about, but the fact that you're setting up the car every, every other weekend maybe sometimes back to back weeks, so many massive changes going on. You mentioned 50% of those 13,000 parts you manufacture. Absolutely. Talk about IFS as being a catalyst for that. >>I mean the, it's, it's fascinating with Formula One, but because as a technology geek like me, it's really just any other business on steroids. I mean we talk, we talk about this absolutely high tech, super high tech manufacturing, but even, even before that, the design that goes in with CFDs and how you optimize for different things and loose simulation software for these things goes into manufacturing, goes into wind tunnels and then goes on track. But guess what, when it's on track, it's an asset. It's an asset that streams from how many sensors are on the car, >>I think it's over 10,000 >>Sensors, over 10,000 sensors that streams maybe at 50 hertz or 50 readings. So every lap you just get this mountain of data, which is really iot. So I always say like F one if one did IOT before anybody invented the term. >>Absolutely. >>Yep. You know, F1 did machine learning and AI before anybody thought about it in terms of pattern recognition and things like that with the data. So that's why it's fascinating to work with an organization like that. It's the, it's the sophistication around the technologies and then the pace what they do. It's not that what they do is actually so different. >>It is, it absolutely isn't. We just have to do it really quickly. Really >>Quickly. Right. And the same thing when you talk about parts. I mean I was fascinated of a conversation with, with one of your designers that says that, you know, sometimes we are, we are designing a part and this, the car is now ready for production but the previous version of that part has not even been deployed on the car yet. So that's how quick the innovation comes through and it's, it's, it's fascinating and that's why we like the challenge that Esther Martin gives us because if we can, if we can address that, there's a lot of businesses we can make happy with that as far, >>So Sha I talk a little bit about this is, so we're coming up, there's what four races left in the 2022 season, but this is your busy time because that new car, the 23 car needs to be debuted in what February? So just a few months time? >>Absolutely. So it's a bit cancer intuitive. So our busiest time is now we're ramping up into it. So we co, we go into something called car build which is from December to December to February, which is our end point and there's no move in that point. The car has gotta go around that track in February. So we have got to make those 13,000 components. We've gotta design 'em, we've gotta make 'em and then we've gotta get 'em to the car in February for our moment of service. They said it on stage. Our moment of service as a manufacturing company is that car going around the track and we have to do it 24 times next year and we've gotta start. Well otherwise we're not gonna keep up. >>I'm just gonna ask you what a, what a moment, what's a moment of service in f1 and you're saying basically getting that >>Functional car >>On the track quickly, as quickly as possible and being able to have the technology underpinning that's really abstracting the complexity. >>Absolutely. So I would say our customer ultimately is the driver and the fans they, they need to have a fast car so they can sport it and they ultimately drive it around the track and go get first place and be competitive. So that is our moment of service to our drivers is to deliver that car 24 times next year. >>I imagine they might be a little demanding >>They are and I think it's gonna be exciting with Alonzo coming in, could the driver if we've gotta manage that change and he'll have new things that he wants to try out on a car. So adds another level of complexity to that. >>Well how influential are the drivers in terms some of the, the manufacturing? Like did they, are they give me kind of a a sense of how Alon Fernando Alanzo your team and ifs maybe collaborate, maybe not directly but >>So Alonzo will come in and suggest that he wants cars to work a certain way so he will feed back to the team in terms of we need this car, we need this car part to do this and this car part to do that. So then we're in a cycle when he first gets into the car in that February, we've then gotta turnaround car parts based off his suggestions. So we need to do that again really quickly and that's where IFS feeds in. So we have to have the release and then the manufacturer of the component completely integrated and that's what we achieve with IFFs and >>It needs to be really seamless. >>Absolutely. If, if we don't get it right, that car doesn't go out track so there's no moving deadline. >>Right. That's the probably one of the industries where deadlines do not move. Absolutely. We're so used to things happening in tech where things shift and change and reorgs, but this is one where the dates are set in their firm. >>Absolutely. And we have to do anything we can do to get that car on the track. So yeah, it's just a move. >>Christian, talk about the partnership a little bit from your standpoint in terms of how influential has Aston Martin F1 been in IFS cloud and its first 18 months. I was looking at some stats that you've already gotten 400,000 plus users in just a short time period. How influential are your customers in the direction and even the the next launch 22 R too? >>I mean our customers do everything plain and simple. That's that's what it is. And we have, we have a partnership, I think about every single customer as a partner of ours and we are partnering in taking technology to the next level in terms of, of the outputs and the benefits it can create for our customers. That's what it's all, all about. And I, I always think about these, these three elements I think I mentioned in our state as well. I think the partnership we have is a partnership around innovation. Innovation doesn't not only come from IFS or the technology partner, it comes from discussions, requirements, opportunities, what if like all these things. So innovation comes from everywhere. There's technology driven innovation, there's customer driven innovation, but that's part of the partnership. The second part of the partnership is inspiration. So with innovation you inspire. So when you innovate on something new that inspires new innovation and new thinking and that's again the second part of the partnership. And then the third part is really iterate and execute, right? Because it's great that we can now innovate and we can agree on what we need to do, but now we need to put it into products, put it in technology and put it into actual use. That's when the benefits comes and that's when we can start bringing the bell. >>And I think it's really intrinsically linked. I mean if you look at progress with Formula One teams and their innovation, it's all underpinned by our technology partners and that's why it's so important. The likes of Christian pushes the product and improves it and innovates it because then we can realize the benefits and ultimately save time and go faster. So it's really important that our, our partners and certainly inform one, push the boundaries and find that technology. >>And I think one of the things that we also find very, very important is that we actually understand our customers and can talk the language. So I think that was one of the key things in our engagement, Martin from the beginning is that we had a set of people that really understand Formula One felt it on their bodies and can have the conversation. So when the Formula One teams they say something, then we actually understand what we're talking about. So for instance, when we talk about, you know, track side inventory, well it's not that different from what a field service technician have in his van when he goes service. The only difference is when you see something happening on track, you'll see the parts manager go out to the pit lane with a tablet and say like, oh we need this, we need that, we need this and we need that. And then we'll go back and pick it and put it on the car and the car is service and maintain and off go. Absolutely. >>Yeah that speed always impresses me. >>It's unbelievable. >>Shannon, last question for you. From a smart factory perspective, you said you're moving in next year. What are some of the things that you are excited about that you think are really gonna be transformative but IFS is doing? >>So I think what I'm really excited about once we get in is using the technology they've already put in terms of 5G networks to sort of springboard that into a further IFS implementation. Maybe IFFs cloud in terms of we always struggle to keep the system up to date with, with what's physically happening so that the less data entry and the more automatic sort of data capture, the better it is for the formula on team cuz we improve our our single point of truth. So I'm really excited to look at the internet of things and sort of integrate our CNC machines to sort of feed that information back into ifs. But also the RFID technology I think is gonna be a game changer when we go into the new factory. So really >>Excited. Excellent. Well well done this year. We look forward to seeing Alonso join the team in 23. Fingers >>Crossed. >>Okay. Fingers crossed. Christian, Jeanette, it's been a pleasure to have you on the program. Thank you so much for sharing your insights and how ifs asked Martin are working together, how you really synergistically working together. We appreciate your time. >>Thank you very much for having us. Our >>Thanks for having us. And go Aston >>Woo go Aston, you already here first Lisa Martin, no relation to Aston Martin, but well, I wanna thank Christian Peterson and Shannon Edwards for joining me, talking about IFS and Aston Martin team and what they're doing at Speed and Scale. Stick around my next guest joins me in a minute. >>Thank you.
SUMMARY :
F1. Guys, it's great to have you on the program. a flavor of IFS, cloud and some of the milestones that you've hit in such a short time period. So we invented EER P and we invented But at the end of the day, customers really want a solution to what they are, you came from ifs so you have kind of the backstory but just give the audience a little bit of, So we are now tracking our parts going out with the garage. So going from quite a small factory spread out across the North Hampton Share Absolutely. So speed is everything. Asset Martin F one, I can't, I can't imagine the quantity of assets that you're building So we have to track that all the way through from the Christian, elaborate on that a little bit in terms of, I mean, what you're facilitating, high tech, super high tech manufacturing, but even, even before that, the design that goes in with So I always say like F one if one did IOT before anybody invented the term. So that's why it's fascinating to work with an organization We just have to do it really quickly. And the same thing when you talk about parts. the track and we have to do it 24 times next year and we've gotta start. that's really abstracting the complexity. So that is our moment of service to our drivers is So adds another level of complexity So we have to have the release and then the manufacturer of the component completely If, if we don't get it right, that car doesn't go out track so there's no moving That's the probably one of the industries where deadlines do not move. And we have to do anything we can do to get that car on the track. Christian, talk about the partnership a little bit from your standpoint in terms of how influential has So with innovation you inspire. The likes of Christian pushes the product and improves it and innovates it because then we can realize the benefits Martin from the beginning is that we had a set of people that really understand Formula One What are some of the things that you are excited about that you think are really gonna be transformative but IFS is doing? So I think what I'm really excited about once we get in is using the technology they've We look forward to seeing Alonso join the team in Christian, Jeanette, it's been a pleasure to have you on the program. Thank you very much for having us. And go Aston and what they're doing at Speed and Scale.
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Chris Hill, Horizon3.ai | Horizon3.ai Partner Program Expands Internationally
>>Welcome back everyone to the Cube and Horizon three.ai special presentation. I'm John Furrier, host of the Cube. We with Chris Hill, Sector head for strategic accounts and federal@horizonthree.ai. Great innovative company. Chris, great to see you. Thanks for coming on the Cube. >>Yeah, like I said, you know, great to meet you John. Long time listener. First time call. So excited to be here with >>You guys. Yeah, we were talking before camera. You had Splunk back in 2013 and I think 2012 was our first splunk.com. Yep. And boy man, you know, talk about being in the right place at the right time. Now we're at another inflection point and Splunk continues to be relevant and continuing to have that data driving security and that interplay. And your ceo, former CTO of Splunk as well at Horizons Neha, who's been on before. Really innovative product you guys have, but you know, Yeah, don't wait for a brief to find out if you're locking the right data. This is the topic of this thread. Splunk is very much part of this new international expansion announcement with you guys. Tell us what are some of the challenges that you see where this is relevant for the Splunk and the Horizon AI as you guys expand Node zero out internationally? >>Yeah, well so across, so you know, my role within Splunk was working with our most strategic accounts. And so I look back to 2013 and I think about the sales process like working with, with our small customers. You know, it was, it was still very siloed back then. Like I was selling to an IT team that was either using us for IT operations. We generally would always even say, yeah, although we do security, we weren't really designed for it. We're a log management tool. And you know, we, and I'm sure you remember back then John, we were like sort of stepping into the security space and in the public sector domain that I was in, you know, security was 70% of what we did. When I look back to sort of the transformation that I was, was witnessing in that digital transformation, you know when I, you look at like 2019 to today, you look at how the IT team and the security teams are, have been forced to break down those barriers that they used to sort of be silo away, would not communicate one, you know, the security guys would be like, Oh this is my BA box it, you're not allowed in today. >>You can't get away with that. And I think that the value that we bring to, you know, and of course Splunk has been a huge leader in that space and continues to do innovation across the board. But I think what we've we're seeing in the space that I was talking with Patrick Kauflin, the SVP of security markets about this, is that, you know, what we've been able to do with Splunk is build a purpose built solution that allows Splunk to eat more data. So Splunk itself, as you well know, it's an ingest engine, right? So the great reason people bought it was you could build these really fast dashboards and grab intelligence out of it, but without data it doesn't do anything, right? So how do you drive and how do you bring more data in? And most importantly from a customer perspective, how do you bring the right data in? >>And so if you think about what node zero and what we're doing in a Horizon three is that, sure we do pen testing, but because we're an autonomous pen testing tool, we do it continuously. So this whole thought of being like, Oh, crud like my customers, Oh yeah, we got a pen test coming up, it's gonna be six weeks. The wait. Oh yeah. You know, and everyone's gonna sit on their hands, Call me back in two months, Chris, we'll talk to you then. Right? Not, not a real efficient way to test your environment and shoot, we, we saw that with Uber this week. Right? You know, and that's a case where we could have helped. >>Well just real quick, explain the Uber thing cause it was a contractor. Just give a quick highlight of what happened so you can connect the >>Dots. Yeah, no problem. So there it was, I think it was one of those, you know, games where they would try and test an environment. And what the pen tester did was he kept on calling them MFA guys being like, I need to reset my password re to set my password. And eventually the customer service guy said, Okay, I'm resetting it. Once he had reset and bypassed the multifactor authentication, he then was able to get in and get access to the domain area that he was in or the, not the domain, but he was able to gain access to a partial part of the network. He then paralleled over to what would I assume is like a VA VMware or some virtual machine that had notes that had all of the credentials for logging into various domains. And so within minutes they had access. And that's the sort of stuff that we do under, you know, a lot of these tools. >>Like not, and I'm not, you know, you think about the cacophony of tools that are out there in a CTA orchestra architecture, right? I'm gonna get like a Zscaler, I'm gonna have Okta, I'm gonna have a Splunk, I'm gonna do this sore system. I mean, I don't mean to name names, we're gonna have crowd strike or, or Sentinel one in there. It's just, it's a cacophony of things that don't work together. They weren't designed work together. And so we have seen so many times in our business through our customer support and just working with customers when we do their pen test, that there will be 5,000 servers out there. Three are misconfigured. Those three misconfigurations will create the open door. Cause remember the hacker only needs to be right once, the defender needs to be right all the time. And that's the challenge. And so that's why I'm really passionate about what we're doing here at Horizon three. I see this my digital transformation, migration and security going on, which we're at the tip of the sp, it's why I joined say Hall coming on this journey and just super excited about where the path's going and super excited about the relationship with Splunk. I get into more details on some of the specifics of that. But you know, >>I mean, well you're nailing, I mean we've been doing a lot of things around super cloud and this next gen environment, we're calling it NextGen. You're really seeing DevOps, obviously Dev SecOps has, has already won the IT role has moved to the developer shift left as an indicator of that. It's one of the many examples, higher velocity code software supply chain. You hear these things. That means that it is now in the developer hands, it is replaced by the new ops, data ops teams and security where there's a lot of horizontal thinking. To your point about access, there's no more perimeter. So >>That there is no perimeter. >>Huge. A hundred percent right, is really right on. I don't think it's one time, you know, to get in there. Once you're in, then you can hang out, move around, move laterally. Big problem. Okay, so we get that. Now, the challenges for these teams as they are transitioning organizationally, how do they figure out what to do? Okay, this is the next step. They already have Splunk, so now they're kind of in transition while protecting for a hundred percent ratio of success. So how would you look at that and describe the challenges? What do they do? What is, what are the teams facing with their data and what's next? What do they, what do they, what action do they take? >>So let's do some vernacular that folks will know. So if I think about dev sec ops, right? We both know what that means, that I'm gonna build security into the app, but no one really talks about SEC DevOps, right? How am I building security around the perimeter of what's going inside my ecosystem and what are they doing? And so if you think about what we're able to do with somebody like Splunk is we could pen test the entire environment from soup to nuts, right? So I'm gonna test the end points through to it. So I'm gonna look for misconfigurations, I'm gonna, and I'm gonna look for credential exposed credentials. You know, I'm gonna look for anything I can in the environment. Again, I'm gonna do it at at light speed. And, and what we're, what we're doing for that SEC dev space is to, you know, did you detect that we were in your environment? >>So did we alert Splunk or the SIM that there's someone in the environment laterally moving around? Did they, more importantly, did they log us into their environment? And when did they detect that log to trigger that log? Did they alert on us? And then finally, most importantly, for every CSO out there is gonna be did they stop us? And so that's how we, we, we do this in, I think you, when speaking with Stay Hall, before, you know, we've come up with this boils U Loop, but we call it fine fix verify. So what we do is we go in is we act as the attacker, right? We act in a production environment. So we're not gonna be, we're a passive attacker, but we will go in un credentialed UN agents. But we have to assume, have an assumed breach model, which means we're gonna put a Docker container in your environment and then we're going to fingerprint the environment. >>So we're gonna go out and do an asset survey. Now that's something that's not something that Splunk does super well, you know, so can Splunk see all the assets, do the same assets marry up? We're gonna log all that data and think then put load that into the Splunk sim or the smoke logging tools just to have it in enterprise, right? That's an immediate future ad that they've got. And then we've got the fix. So once we've completed our pen test, we are then gonna generate a report and we could talk about about these in a little bit later. But the reports will show an executive summary the assets that we found, which would be your asset discovery aspect of that, a fixed report. And the fixed report I think is probably the most important one. It will go down and identify what we did, how we did it, and then how to fix that. >>And then from that, the pen tester or the organization should fix those. Then they go back and run another test. And then they validate through like a change detection environment to see, hey, did those fixes taste, play take place? And you know, SNA Hall, when he was the CTO of JS o, he shared with me a number of times about, he's like, Man, there would be 15 more items on next week's punch sheet that we didn't know about. And it's, and it has to do with how we, you know, how they were prioritizing the CVEs and whatnot because they would take all CVS was critical or non-critical. And it's like we are able to create context in that environment that feeds better information into Splunk and whatnot. That >>Was a lot. That brings, that brings up the, the efficiency for Splunk specifically. The teams out there. By the way, the burnout thing is real. I mean, this whole, I just finished my list and I got 15 more or whatever the list just can, keeps, keeps growing. How did Node zero specifically help Splunk teams be more efficient? Now that's the question I want to get at, because this seems like a very scalable way for Splunk customers and teams, service teams to be more efficient. So the question is, how does Node zero help make Splunk specifically their service teams be more efficient? >>So to, so today in our early interactions with building Splunk customers, what we've seen are five things, and I'll start with sort of identifying the blind spots, right? So kind of what I just talked about with you. Did we detect, did we log, did we alert? Did they stop node zero, right? And so I would, I put that at, you know, a a a more layman's third grade term. And if I was gonna beat a fifth grader at this game would be, we can be the sparring partner for a Splunk enterprise customer, a Splunk essentials customer, someone using Splunk soar, or even just an enterprise Splunk customer that may be a small shop with three people and, and just wants to know where am I exposed. So by creating and generating these reports and then having the API that actually generates the dashboard, they can take all of these events that we've logged and log them in. >>And then where that then comes in is number two is how do we prioritize those logs, right? So how do we create visibility to logs that are, have critical impacts? And again, as I mentioned earlier, not all CVEs are high impact regard and also not all are low, right? So if you daisy chain a bunch of low CVEs together, boom, I've got a mission critical AP CVE that needs to be fixed now, such as a credential moving to an NT box that's got a text file with a bunch of passwords on it, that would be very bad. And then third would be verifying that you have all of the hosts. So one of the things that Splunk's not particularly great at, and they, they themselves, they don't do asset discovery. So do what assets do we see and what are they logging from that? And then for, from, for every event that they are able to identify the, one of the cool things that we can do is actually create this low-code, no-code environment. >>So they could let, you know, float customers can use Splunk. So to actually triage events and prioritize that events or where they're being routed within it to optimize the SOX team time to market or time to triage any given event. Obviously reducing mtr. And then finally, I think one of the neatest things that we'll be seeing us develop is our ability to build glass tables. So behind me you'll see one of our triage events and how we build a lock Lockheed Martin kill chain on that with a glass table, which is very familiar to this Splunk community. We're going to have the ability, not too distant future to allow people to search, observe on those IOCs. And if people aren't familiar with an ioc, it's an incident of compromise. So that's a vector that we want to drill into. And of course who's better at drilling in into data and Splunk. >>Yeah, this is a critical, this is awesome synergy there. I mean I can see a Splunk customer going, Man, this just gives me so much more capability. Action actionability. And also real understanding, and I think this is what I wanna dig into, if you don't mind understanding that critical impact, okay. Is kind of where I see this coming. I got the data, data ingest now data's data. But the question is what not to log, You know, where are things misconfigured? These are critical questions. So can you talk about what it means to understand critical impact? >>Yeah, so I think, you know, going back to those things that I just spoke about, a lot of those CVEs where you'll see low, low, low and then you daisy chain together and you're suddenly like, oh, this is high now. But then to your other impact of like if you're a, if you're a a Splunk customer, you know, and I had, I had several of them, I had one customer that, you know, terabytes of McAfee data being brought in and it was like, all right, there's a lot of other data that you probably also wanna bring, but they could only afford, wanted to do certain data sets because that's, and they didn't know how to prioritize or filter those data sets. And so we provide that opportunity to say, Hey, these are the critical ones to bring in. But there's also the ones that you don't necessarily need to bring in because low CVE in this case really does mean low cve. >>Like an ILO server would be one that, that's the print server where the, your admin credentials are on, on like a, a printer. And so there will be credentials on that. That's something that a hacker might go in to look at. So although the CVE on it is low, if you daisy chain was something that's able to get into that, you might say, ah, that's high. And we would then potentially rank it giving our AI logic to say that's a moderate. So put it on the scale and we prioritize though, versus a, a vulner review scanner's just gonna give you a bunch of CVEs and good luck. >>And translating that if I, if I can and tell me if I'm wrong, that kind of speaks to that whole lateral movement. That's it. Challenge, right? Print server, great example, look stupid low end, who's gonna wanna deal with the print server? Oh, but it's connected into a critical system. There's a path. Is that kind of what you're getting at? >>Yeah, I used daisy chain. I think that's from the community they came from. But it's, it's just a lateral movement. It's exactly what they're doing. And those low level, low critical lateral movements is where the hackers are getting in. Right? So that's what the beauty thing about the, the Uber example is that who would've thought, you know, I've got my multifactor authentication going in a human made a mistake. We can't, we can't not expect humans to make mistakes. Were fall, were fallible, right? Yeah. The reality is is once they were in the environment, they could have protected themselves by running enough pen tests to know that they had certain exposed credentials that would've stopped the breach. Yeah. And they did not, had not done that in their environment. And I'm not poking. Yeah, >>They put it's interesting trend though. I mean it's obvious if sometimes those low end items are also not protected well. So it's easy to get at from a hacker standpoint, but also the people in charge of them can be fished easily or spear fished because they're not paying attention. Cause they don't have to. No one ever told them, Hey, be careful of what you collect. >>Yeah. For the community that I came from, John, that's exactly how they, they would meet you at a, an international event introduce themselves as a graduate student. These are national actor states. Would you mind reviewing my thesis on such and such? And I was at Adobe at the time though I was working on this and start off, you get the pdf, they opened the PDF and whoever that customer was launches, and I don't know if you remember back in like 2002, 2008 time frame, there was a lot of issues around IP being by a nation state being stolen from the United States and that's exactly how they did it. And John, that's >>Or LinkedIn. Hey I wanna get a joke, we wanna hire you double the salary. Oh I'm gonna click on that for sure. You know? Yeah, >>Right. Exactly. Yeah. The one thing I would say to you is like when we look at like sort of, you know, cuz I think we did 10,000 pen test last year is it's probably over that now, you know, we have these sort of top 10 ways that we think then fine people coming into the environment. The funniest thing is that only one of them is a, a CVE related vulnerability. Like, you know, you guys know what they are, right? So it's it, but it's, it's like 2% of the attacks are occurring through the CVEs, but yet there's all that attention spent to that. Yeah. And very little attention spent to this pen testing side. Yeah. Which is sort of this continuous threat, you know, monitoring space and, and, and this vulnerability space where I think we play such an important role and I'm so excited to be a part of the tip of the spear on this one. >>Yeah. I'm old enough to know the movie sneakers, which I love as a, you know, watching that movie, you know, professional hackers are testing, testing, always testing the environment. I love this. I gotta ask you, as we kind of wrap up here, Chris, if you don't mind the benefits to team professional services from this alliance, big news Splunk and you guys work well together. We see that clearly. What are, what other benefits do professional services teams see from the Splunk and Horizon three AI alliance? >>So if you're a, I think for, from our, our, from both of our partners as we bring these guys together and many of them already are the same partner, right? Is that first off, the licensing model is probably one of the key areas that we really excel at. So if you're an end user, you can buy for the enterprise by the enter of IP addresses you're using. But if you're a partner working with this, there's solution ways that you can go in and we'll license as to MSPs and what that business model on our MSPs looks like. But the unique thing that we do here is this c plus license. And so the Consulting Plus license allows like a, somebody a small to midsize to some very large, you know, Fortune 100, you know, consulting firms uses by buying into a license called Consulting Plus where they can have unlimited access to as many ips as they want. >>But you can only run one test at a time. And as you can imagine when we're going and hacking passwords and checking hashes and decrypting hashes, that can take a while. So, but for the right customer, it's, it's a perfect tool. And so I I'm so excited about our ability to go to market with our partners so that we underhand to sell, understand how not to just sell too or not tell just to sell through, but we know how to sell with them as a good vendor partner. I think that that's one thing that we've done a really good job building bringing into market. >>Yeah. I think also the Splunk has had great success how they've enabled partners and professional services. Absolutely. They've, you know, the services that layer on top of Splunk are multifold tons of great benefits. So you guys vector right into that ride, that wave with >>Friction. And, and the cool thing is that in, you know, in one of our reports, which could be totally customized with someone else's logo, we're going to generate, you know, so I, I used to work at another organization, it wasn't Splunk, but we, we did, you know, pen testing as a, as a for, for customers and my pen testers would come on site, they, they do the engagement and they would leave. And then another really, someone would be, oh shoot, we got another sector that was breached and they'd call you back, you know, four weeks later. And so by August our entire pen testings teams would be sold out and it would be like, wow. And in March maybe, and they'd like, No, no, no, I gotta breach now. And, and, and then when they do go in, they go through, do the pen test and they hand over a PDF and they pat you on the back and say, there's where your problems are, you need to fix it. And the reality is, is that what we're gonna generate completely autonomously with no human interaction is we're gonna go and find all the permutations that anything we found and the fix for those permutations and then once you fixed everything, you just go back and run another pen test. Yeah. It's, you know, for what people pay for one pen test, they could have a tool that does that. Every, every pat patch on Tuesday pen test on Wednesday, you know, triage throughout the week, >>Green, yellow, red. I wanted to see colors show me green, green is good, right? Not red. >>And once CIO doesn't want, who doesn't want that dashboard, right? It's, it's, it is exactly it. And we can help bring, I think that, you know, I'm really excited about helping drive this with the Splunk team cuz they get that, they understand that it's the green, yellow, red dashboard and, and how do we help them find more green so that the other guys are >>In Yeah. And get in the data and do the right thing and be efficient with how you use the data, Know what to look at. So many things to pay attention to, you know, the combination of both and then, then go to market strategy. Real brilliant. Congratulations Chris. Thanks for coming on and sharing this news with the detail around this Splunk in action around the alliance. Thanks for sharing, >>John. My pleasure. Thanks. Look forward to seeing you soon. >>All right, great. We'll follow up and do another segment on DevOps and IT and security teams as the new new ops, but, and Super cloud, a bunch of other stuff. So thanks for coming on. And our next segment, the CEO of Verizon, three AA, will break down all the new news for us here on the cube. You're watching the cube, the leader in high tech enterprise coverage.
SUMMARY :
I'm John Furrier, host of the Cube. Yeah, like I said, you know, great to meet you John. And boy man, you know, talk about being in the right place at the right time. the security space and in the public sector domain that I was in, you know, security was 70% And I think that the value that we bring to, you know, And so if you think about what node zero and what we're doing in a Horizon three is that, Just give a quick highlight of what happened so you And that's the sort of stuff that we do under, you know, a lot of these tools. Like not, and I'm not, you know, you think about the cacophony of tools that are That means that it is now in the developer hands, So how would you look at that and And so if you think about what we're able to do with before, you know, we've come up with this boils U Loop, but we call it fine fix verify. you know, so can Splunk see all the assets, do the same assets marry up? And you know, SNA Hall, when he was the CTO of JS o, So the question is, And so I would, I put that at, you know, a a a more layman's third grade term. And then third would be verifying that you have all of the hosts. So they could let, you know, float customers can use Splunk. So can you talk about what Yeah, so I think, you know, going back to those things that I just spoke about, a lot of those CVEs So put it on the scale and we prioritize though, versus a, a vulner review scanner's just gonna give you a bunch of Is that kind of what you're getting at? is that who would've thought, you know, I've got my multifactor authentication going in a Hey, be careful of what you collect. time though I was working on this and start off, you get the pdf, they opened the PDF and whoever that customer was Oh I'm gonna click on that for sure. Which is sort of this continuous threat, you know, monitoring space and, services from this alliance, big news Splunk and you guys work well together. And so the Consulting Plus license allows like a, somebody a small to midsize to And as you can imagine when we're going and hacking passwords They've, you know, the services that layer on top of Splunk are multifold And, and the cool thing is that in, you know, in one of our reports, which could be totally customized I wanted to see colors show me green, green is good, And we can help bring, I think that, you know, I'm really excited about helping drive this with the Splunk team cuz So many things to pay attention to, you know, the combination of both and then, then go to market strategy. Look forward to seeing you soon. And our next segment, the CEO of Verizon,
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Kevin Mandia, Mandiant & Shawn Henry, CrowdStrike | CrowdStrike Fal.Con 2022
>>Welcome back to the aria in Las Vegas, Dave Valante with Dave Nicholson, Falcon 22, the Cube's continuous coverage. Sean Henry is here. He's the president of the services division and he's the chief security officer at CrowdStrike. And he's joined by Kevin mania, CEO of Mandy. Now part of Google Jens. Welcome to the cube. Thank you. Congrats on closing the Google deal. Thank you. That's great. New chapter, >>New >>Chapter coming fresh off the keynote, you and George. I really en enjoyed that. Let's start there. One of the things you talked about was the changes you've been, you've been in this business for a while. I think you were talking about, you know, doing some of these early stuff in the nineties. Wow. Things have changed a lot the queen, right? Right. You used to put the perimeter around the queen. Yeah. Build the Mo the Queen's left or castle new ballgame. But you were talking about the board level knowledge of security in the organization. Talk about that change. That's occurred in the last >>Decade. You know, boards are all about governance, right? Making sure everybody's doing the right things. And they've kind of had a haul pass on cybersecurity for a long time. Like we expect them to be great at financial diligence, they understand the financials of an organization. You're gonna see a maturity, I think in cybersecurity where I think board members all know, Hey, there's risk out there. And we're on our own to kind of defend ourselves from it, but they don't know how to quantify it. And they don't know how to express it. So bottom line boards are interested in cyber and we just have to mature as an industry to give them the tools they need to measure it appropriately. >>Sean, one of the things I wanted to ask you. So Steven Schmidt, I noticed changed his title from CISOs chief inf information security officer, the chief security officer. Your title is chief security officer. Is that a nuance that has meaning to you or is it just less acronym? >>It depends on the organization that you're in, in our organization, the chief security officer owns all risks. So I have a CISO that comes underneath me. Yep. And I've got a security folks that are handling our facilities, our personnel, those sorts of things, all, all of our offices around the globe. So it's all things security. One of the things that we've found and Kevin and I were actually talking about this earlier is this intersection between the physical world and the virtual world. And if you've got adversaries that want gain access to your organization, they might do it remotely by trying to hack into your network. But they also might try to get one of your employees to take an action on their behalf, or they might try to get somebody hired into your company to take some nefarious acts. So from a security perspective, it's about building an envelope around all things valuable and then working it in a collaborative way. So there's a lot of interface, a lot of interaction and a lot of value in putting those things together. And, >>And you're also president of the services division. Is that a P and L role or >>It is, we have a it's P P O P and L. And we have an entire organization that's doing incident response and it's a lot of the work that we're doing with, with Kevin's folks now. So I've got both of those hats today. >>Okay. So self-funded so in a way, okay. Where are companies most at risk today? >>Huh? You wanna go on that one first? Sean, you talk fast than me. So it's bigger bang for the buck. If >>You >>Talk, you know, when I, when I think about, about companies in terms of, of their risk, it's a lot of it has to do with the expansion of the network. Companies are adding new applications, new devices, they're expanding into new areas. There are new technologies that are being developed every day and that are being embraced every day. And all of those technologies, all of those applications, all of that hardware is susceptible to attack. Adversaries are looking for the vulnerabilities they can exploit. And I think just kind of that sprawl is something that is, is disconcerting to me from a security perspective, we need to know where our assets are, where the vulnerabilities lie, how do we plug the holes? And having that visibility is really critical to ensure that you're you're in, involved in mitigating that, that new architecture, >>Anything you >>Did. Yeah. I would like when I, so I can just tell you what I'm hearing from CISOs out there. They're worried about identity, the lateral movement. That's been kind of part of every impactful breach. So in identity's kind of top three of mind, I would say zero trust, whatever that means. And we all have our own definitions of migration to zero trust and supply chain risk. You know, whether they're the supplier, they wanna make sure they can prove to their customers, they have great security practices. Or if they're a consumer of a supply chain, you need to understand who's in their supply chain. What are their dependencies? How secure are they? Those are just three topics that come up all the time. >>As we extend, you know, talking about XDR the X being extend. Do you see physical security as something that's being extended into? Or is it, or is it already kind of readily accepted that physical security goes hand in hand with information security? >>I, I don't think a lot of people think that way there certainly are some and Dave mentions Amazon and Steve Schmidt as a CSO, right? There's a CSO that works for him as well. CJ's clear integration. There's an intelligence component to that. And I think that there are certain organizations that are starting to recognize and understand that when we say there's no real perimeter, it, it expands the network expands into the physical space. And if you're not protecting that, you know, if you don't protect the, the server room and somebody can actually walk in the doors unlocked, you've got a vulnerability that might be exploited. So I think to, to recognize the value of that integration from a security perspective, to be holistic and for organizations to adopt a security first philosophy that all the employees recognize they're, they're the, the first line of defense. Oftentimes not just from a fish, but by somebody catching up with them and handing 'em a thumb drive, Hey, can you take a look at this document? For me, that's a potential vulnerability as well. So those things need to be integrated. >>I thought the most interesting part of the keynote this morning is when George asked you about election security and you immediately went to the election infrastructure. I was like, yeah. Okay. Yeah. But then I was so happy to hear you. You went to the disinformation, I learned something there about your monitoring, the network effects. Sure. And, and actually there's a career stream around that. Right. The reason I had so years ago I interviewed was like, this was 2016, Robert Gates. Okay. Former defense. And I, I said, yeah, but don't we have the best cyber can't we go on the offense. He said, wait a minute, we have the most to lose. Right. But, but you gave an example where you can identify the bots. Like let's say there's disinformation out there. You could actually use bots in a positive way to disseminate the, the truth in theory. Good. Is, is that something that's actually happening >>Out there? Well, I think we're all still learning. You know, you can have deep fakes, both audible files or visual files, right. And images. And there's no question. The next generation, you do have to professionalize the news that you consume. And we're probably gonna have to professionalize the other side critical thinking because we are a marketplace of ideas in an open society. And it's hard to tell where's the line between someone's opinion and intentional deception, you know, and sometimes it could be the source, a foreign threat, trying to influence the hearts and minds of citizens, but there's gonna be an internal threat or domestic threat as well to people that have certain ideas and concepts that they're zealots about. >>Is it enough to, is it enough to simply expose where the information is coming from? Because, you know, look, I, I could make the case that the red Sox, right. Or a horrible baseball team, and you should never go to Fenway >>And your Yankees Jersey. >>Right. Right. So is that disinformation, is that misinformation? He'd say yes. Someone else would say no, but it would be good to know that a thousand bots from some troll farm, right. Are behind us. >>There's, it's helpful to know if something can be tied to identity or is totally anonymous. Start just there. Yeah. Yeah. You can still protect the identity over time. I think all of us, if you're gonna trust the source, you actually know the source. Right. So I do believe, and, and by the way, much longer conversation about anonymity versus privacy and then trust, right. And all three, you could spend this whole interview on, but we have to have a trustworthy internet as well. And that's not just in the tech and the security of it, but over time it could very well be how we're being manipulated as citizens and people. >>When you guys talk to customers and, and peers, when somebody gets breached, what's the number one thing that you hear that they wished they'd done that they didn't. >>I think we talked about this earlier, and I think identity is something that we're talking about here. How are you, how are you protecting your assets? How do you know who's authorized to have access? How do you contain the, the access that they have? And the, the area we see with, with these malware free attacks, where adversaries are using the existing capabilities, the operating system to move laterally through the network. I mean, Kevin's folks, my folks, when we respond to an incident, it's about looking at that lateral movement to try and get a full understanding of where the adversary's been, where they're going, what they're doing, and to try to, to find a root cause analysis. And it really is a, a critical part. >>So part of the reason I was asking you about, was it a P and L cuz you, you wear two hats, right? You've got revenue generation on one side and then you've got you protect, you know, the company and you've got peer relationships. So the reason I bring this up is I felt like when stucks net occurred, there was a lot of lip service around, Hey, we, as an industry are gonna work together. And then what you saw was a lot of attempts to monetize, you know, private data, sell private reports and things of that nature you were referencing today, Kevin, that you think the industry's doing a much better job of, of collaboration. Is it, can you talk about that and maybe give some examples? >>Absolutely. I mean, you know, I lived through it as a victim of a breach couple years ago. If you see something new and novel, I, I just can't imagine you getting away with keeping it a secret. I mean, I would even go, what are you doing? Harboring that if you have it, that doesn't mean you tell the whole world, you don't come on your show and say, Hey, we got something new novel, everybody panic, you start contacting the people that are most germane to fixing the problem before you tell the world. So if I see something that's new in novel, certainly con Sean and the team at CrowdStrike saying, Hey, there's because they protect so many endpoints and they defend nations and you gotta get to Microsoft. You have to talk to pan. You have to get to the companies that have a large capability to do shields up. And I think you do that immediately. You can't sit on new and novel. You get to the vendor where the vulnerability is, all these things have to happen at a great rate to speak. >>So you guys probably won't comment, but I'm betting dollars to donuts. This Uber lapses hack you guys knew about. >>I turned to you. >>No comment. I'm guessing. I'm guessing that the, that wasn't novel. My point being, let me, let me ask it in a more generic fashion that you can maybe comment you you're. I think you're my, my inference is we're com the industry is compressing the time between a zero day and a fix. Absolutely. Absolutely. Like dramatically. >>Yes. Oh, awareness of it and AIX. Yes. Yeah. >>Okay. Yeah. And a lot of the hacks that we see as lay people in the media you've known about for quite some time, is that fair or no, not necessarily. >>It's, you know, it's harder to handle an intrusion quietly and discreetly these days, especially with what you're up against and, and most CEOs, by the way, their intent isn't, let's handle it quietly and discreetly it's what do we do about it? And what's the right way to handle it. And they wanna inform their customers and they wanna inform people that might be impacted. I wouldn't say we know it all that far ahead of time >>And, and depends. And, and I, I think companies don't know it. Yeah. Companies don't know they've been breached for weeks or months or years in some cases. Right. Which talks about a couple things, first of all, some of the sophistication of the adversaries, but it also talks about the inability of companies to often detect this type of activity when we're brought in. It's typically very quickly after the company finds out because they recognize they've gotta take action. They've got liability, they've got brand protection. There, whole sorts of, of things they need to take care of. And we're brought in it may or may not be, become public, but >>CrowdStrike was founded on the premise that the unstoppable breach is a myth. Now that's a, that's a bold sort of vision. We're not there yet, obviously. And a and a, and a, a CSO can't, you know, accept that. Right. You've gotta always be vigilant, but is that something that is, that we're gonna actually see manifest, you know, in any, any time in the near term? I mean, thinking about the Falcon platform, you guys are users of that. I don't know if that is part of the answer, but part of it's technology, but without the cultural aspects, the people side of things, you're never gonna get there. >>I can tell you, I started Maning in 2004 at the premise security breaches are inevitable, far less marketable. Yeah. You know, stop breaches. >>So >>Yeah. I, I think you have to learn how to manage this, right? It's like healthcare, you're not gonna stop every disease, but there's a lot of things that you can do to mitigate the consequences of those things. The same thing with network security, there's a lot of actions that organizations can take to help protect them in a way that allows them to live and, and operate in a, in a, a strong position. If companies are lackadaisical that irresponsible, they don't care. Those are companies that are gonna suffer. But I think you can manage this if you're using the right technology, the right people, you've got the right philosophy security first >>In, in the culture. >>Well, I can tell you very quickly, three reasons why people think, why is there an intrusion? It should just go away. Well, wherever money goes, crime follows. We still have crime. So you're still gonna have intrusions, whether it has to be someone on the inside or faulty software and people being paid the right faulty software, you're gonna have war. That's gonna create war in the cyber domain. So information warriors are gonna try to have intrusions to get to command and control. So wherever you have command and control, you'll have a war fighter. And then wherever you have information, you have ESP Espino. So you're gonna have people trying to break in at all times. >>And, and to tie that up because everything Kevin said is absolutely right. And what he just said at the very end was people, there are human beings that are on the other side of every single attack. And think about this until you physically get physically get to the people that are doing it and stop them. Yes, this will go on forever because you can block them, but they're gonna move and you can block them again. They're gonna move their objectives. Don't change because the information you have, whether it's financial information, intellectual property, strategic military information, that's still there. They will always come at it, which is where that physical component comes in. If you're able to block well enough and they can't get you remotely, they might send somebody in. Well, >>I, in the keynote, I, I'm not kidding. I'm looking around the room and I'm thinking there's at least one person here that is here primarily to gather intelligence, to help them defeat. What's being talked about here. >>Well, you said it's, >>It's kind >>Of creepy. You said the adversary is, is very well equipped and motivated. Why do you Rob banks? Well, that's where the money is, but it's more than that. Now with state sponsored terrorism and, you know, exfiltration of state secrets, I mean, there's, it's high stake's games. You got, this >>Has become a tool of nation states in terms from a political perspective, from a military perspective, if you look at what happened with Ukraine and Russia, all the work that was done in advanced by the Russians to soften up the Ukrainians, not just collection of intelligence, not just denial of services, but then disruptive attacks to change the entire complexity of the battlefield. This, this is a, an area that's never going away. It's becoming ingrained in our lives. And it's gonna be utilized for nefarious acts for many, many decades to come. >>I mean, you're right, Sean, we're seeing the future of war right before us is, is there's. There is going to be, there is a cyber component now in war, >>I think it signals the cyber component signals the silent intention of nations period, the silent projection of power probably before you see kinetics. >>And this is where gates says we have a lot more to lose as a country. So it's hard for us to go on the offense. We have to be very careful about our offensive capabilities because >>Of one of the things that, that we do need to, to do though, is we need to define what the red lines are to adversaries. Because when you talk about human beings, you've gotta put a deterrent in place so that if the adversaries know that if you cross this line, this is what the response is going to be. It's the way things were done during nuclear proliferation, right? Right. During the cold war, here's what the actions are gonna be. It's gonna be, it's gonna be mutual destruction and you can't do it. And we didn't have a nuclear war. We're at a point now where adversaries are pushing the envelope constantly, where they're turning off the lights in certain countries where they're taking actions that are, are quite detrimental to the host governments and those red lines have to be very clear, very clearly defined and acted upon if they're >>Crossed as security experts. Can you always tie that signature back to say a particular country or a particular group? >>Absolutely. 100% every >>Time I know. Yeah. No, it it's. It's a great question. You, you need to get attribution right. To get to deterrence, right. And without attribution, where do you proportionate respond to whatever act you're responding to? So attribution's critical. Both our companies work hard at doing it and it, and that's why I think you're not gonna see too many false flag operations in cyberspace, but when you do and they're well crafted or one nation masquerades is another, it, it, it's one of the last rules of the playground I haven't seen broken yet. And that that'll be an unfortunate day. >>Yeah. Because that mutually assure destruction, a death spot like Putin can say, well, it wasn't wasn't me. Right. So, and ironically, >>It's human intelligence, right. That ultimately is gonna be the only way to uncover >>That human intelligence is a big component. >>For sure. Right. And, and David, like when you go back to, you were referring to Robert Gates, it's the asymmetry of cyberspace, right? One person in one nation. That's not a control by asset could still do an act. And it, it just adds to the complexity of, we have attribution it's from that nation, but was it in order? Was it done on behalf of that nation? Very complicated. >>So this is an industry of superheroes. Thank you guys for all you do and appreciate you coming on the cube. Wow. >>I love your Cape. >>Thank all right. Keep it right there. Dave Nicholson and Dave ante be right back from Falcon 22 from the area you watching the cue.
SUMMARY :
He's the president of the services division and he's One of the things you talked about was the changes you've been, you've been in this business for a while. Making sure everybody's doing the right things. meaning to you or is it just less acronym? One of the things that we've found and Kevin and I were actually talking about this earlier is And you're also president of the services division. an entire organization that's doing incident response and it's a lot of the work that we're Where are companies most at risk today? So it's bigger bang for the buck. all of that hardware is susceptible to attack. Or if they're a consumer of a supply chain, you need to understand who's in their supply chain. As we extend, you know, talking about XDR the X being extend. And I think that there are certain organizations that are starting to recognize I thought the most interesting part of the keynote this morning is when George asked you about election the news that you consume. and you should never go to Fenway So is that disinformation, is that misinformation? And all three, you could spend this whole interview on, but we have to have a trustworthy internet as well. When you guys talk to customers and, and peers, when somebody gets breached, it's about looking at that lateral movement to try and get a full understanding of where the adversary's So part of the reason I was asking you about, was it a P and L cuz you, you wear two hats, And I think you do that immediately. So you guys probably won't comment, but I'm betting dollars to donuts. let me, let me ask it in a more generic fashion that you can maybe comment you you're. Yeah. you've known about for quite some time, is that fair or no, not necessarily. It's, you know, it's harder to handle an intrusion quietly and discreetly these days, but it also talks about the inability of companies to often detect this type of activity when And a and a, and a, a CSO can't, you know, accept that. I can tell you, I started Maning in 2004 at the premise security breaches are inevitable, But I think you can manage this if you're using the right technology, And then wherever you have information, And think about this until you physically get physically get to the people that are doing it at least one person here that is here primarily to gather intelligence, you know, exfiltration of state secrets, I mean, there's, it's high stake's games. from a military perspective, if you look at what happened with Ukraine and Russia, all the work that I mean, you're right, Sean, we're seeing the future of war right before us is, is there's. the silent projection of power probably before you see kinetics. And this is where gates says we have a lot more to lose as a country. that if the adversaries know that if you cross this line, this is what the response is going to be. Can you always tie that signature back to say a Absolutely. where do you proportionate respond to whatever act you're responding to? So, and ironically, It's human intelligence, right. And, and David, like when you go back to, you were referring to Robert Gates, it's the asymmetry of cyberspace, Thank you guys for all you do and appreciate you coming on the cube. Dave Nicholson and Dave ante be right back from Falcon 22 from the area you watching the cue.
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Breaking Analysis: How CrowdStrike Plans to Become a Generational Platform
>> From theCUBE studios in Palo Alto in Boston bringing you data driven insights from theCUBE and ETR. This is "Breaking Analysis" with Dave Vellante. >> In just over 10 years, CrowdStrike has become a leading independent security firm with more than 2 billion in annual recurring revenue, nearly 60% ARR growth, and approximate $40 billion market capitalization, very high retention rates, low churn, and a path to 5 billion in revenue by mid decade. The company has joined Palo Alto Networks as a gold standard pure play cyber security firm. It has achieved this lofty status with an architecture that goes beyond a point product. With outstanding go to market and financial execution, some sharp acquisitions and an ever increasing total available market. Hello, and welcome to this week's Wikibon Cube Insights powered by ETR. In this "Breaking Analysis" and ahead of Falcon, Fal.Con, CrowdStrike's user conference, we take a deeper look into CrowdStrike, its performance, its platform, and survey data from our partner ETR. Now, the general consensus is that spending on Cyber is non-discretionary and is held up better than other technology sectors. While this is generally true, as this data shows, it's nuanced. Let's explore this a bit. First, this is a year-to-date chart of the stock performance of CrowdStrike relative to Palo Alto, the BUG ETF, which is a Cyber index, the NASDAQ and SentinelOne, a relatively new entrant to the IPO public markets. Now, as you can see the security sector as evidenced by the orange line, that Cyber ETF, is holding up better than the overall NASDAQ which is off 28% year-to-date. Palo Alto has held up incredibly well, the best, being off only around 4% year-to-date. Whereas CrowdStrike is off in the double digits this year. But up as we talked about in one of our last "Breaking Analysis" on Cyber, up from its lows this past May. Now, CrowdStrike had a very nice beat and raise on August 30th. But the stop didn't respond well initially. We asked "Breaking Analysis" contributor, Chip Simonton for his technical take and he stated that CrowdStrike has bounced around for the last three months in its current range. He said that Cyber stocks have held up better than the rest of the market, as we're showing. And now might be a good time to take a shot but he is cautious. FedEx had a warning today of a global recession and that's obvious case for a concern. You know, maybe some of these quality Cyber stocks like Palo Alto and CrowdStrike and Zscaler will outperform in a recession, but that play is not for the faint of heart. In fact, it's feeling like a longer, more drawn out tech lash than many had hoped. Perhaps as much as 12 to 18 months of bouncing around with sellers still in control, is generally the sentiment from Simonton. So in terms of Cyber spending being non-discretionary, we'd say it's less discretionary than other it sectors but the CISO still does not have an open wallet, as we've reported before. We've seen that spending momentum has decelerated in all sectors throughout the year. This is an across the board trend. Now, independent of the stock price, George Kurtz, CEO of CrowdStrike, he's running a marathon, not a sprint. And this company is running at a nice pace despite tough macro headwinds. The company is free cash flow positive and is in the black, or a non-GAAP operating profit basis and yet it's growing ARR at nearly 60%. Frank Slootman uses the term inherent profitability, meaning that the company could drive more profits if it wanted to dial down expenses especially in go to market costs. But that would be a mistake for a company like CrowdStrike, in our opinion. While it has an impressive nearly 20,000 customers, there are hundreds of thousands of customers that CrowdStrike could penetrate. So like Snowflake and Slootman, Kurtz is not taking its foot off the gas. Now, the fundamental strength of CrowdStrike and its secret sauce is its architecture and platform, in our view, so let's take a deeper look. CrowdStrike believes that the unstoppable breach is a myth. Now, CISOs don't agree with that because they assume they're going to get breached, but that's CrowdStrike's point of view, so lofty vision. CrowdStrike's mission is to consolidate the patchwork of solutions by introducing modules that go beyond point products. CrowdStrike has more than 20 modules, I think 22, that span a range of capabilities as shown in this table. Now, there are a few critical aspects of the CrowdStrike architecture that bear mentioning. First is the lightweight agent, that is fundamental. You know, we're used to thinking that agentless is good and agent is bad, but in this case, a powerful but small, slim and easy to install but unobtrusive agent has its advantages because it supports multiple CrowdStrike modules. The second point is CrowdStrike from the beginning has been dogmatic about getting all the telemetry data into the cloud. It sort of shunned doing bespoke on prem so that all the data could be analyzed. So the more agents that CrowdStrike installs around the world, the more data it has access to and the better its intelligence. Few companies have access to more data, perhaps Microsoft given it scale and size is an exception in that endpoint space. CrowdStrike has developed a purpose-built threat graph and analytics platform that allows it to quickly ingest in near real time key telemetry data and detect not only known malware, that's pretty straightforward, pretty much anybody could do that. But using machine intelligence, it can also detect unknown malware and other potentially malicious behavior using indicators of attack, IOC, or IOAs. Humio is shown here as a company that CrowdStrike bought for around 400 million in early 2020, early 2021. It's the company's Splunk killer and will serve as an observability platform. It's really starting to take off, that's a great market for them to go after. CrowdStrike, to try to put it into sort of a summary, uses a three pronged approach. First is it's next generation anti-virus, meaning it's SaaS base. SAS based solution that can do fast lookups to telemetry data and that data lives in the cloud. And this leverages cloud strikes proprietary threat graph. Now, the second is endpoint detection and response. CrowdStrike sends all endpoint activity to the cloud and can process the data in real time. CrowdStrike EDR allows you to search data history and its partners with threat intelligent platforms who push the data into CrowdStrike, the CrowdStrike cloud. This increases CloudStrike's observation space. It also has containment capabilities in EDR to fence off compromised system. Now, the third leg of the stool is CrowdStrike's world class manage hunting approach. Like many firms, CrowdStrike has a crack team of experts that is looking at the data, but CrowdStrike's advantage is the amount of data, that observation space that we just talked about, and near real time capabilities of the architecture thanks to that proprietary database that they've developed. And all this is built in the cloud and so it enables global scale. And of course, agility. Now, let's dig into some of the survey data and take a look at what ETR respondents are saying about the spending momentum for CrowdStrike in context with its peers. Here's a very recent dataset, the October preliminary data from the October dataset in ETR's survey. Eric Bradley shared with us, ETR's head of strategy, and he runs the round tables, he's a frequent "Breaking Analysis" contributor. This is an XY graph with Netcore or spending momentum on the vertical axis and the overlap or pervasiveness in the survey on the horizontal axis. That dotted red line at 40% indicates an elevated level of spending velocity. Anything above that, we consider really impressive. Note the CrowdStrike progression since the pandemic started. The two notable points are one, that CrowdStrike has remained consistently above that 40% mark and two, it has made notable progress to the right. You can see that sort of squiggly line consistently increasing its share with one little anomaly there in the early days of over a two-year period. The other call out here is Microsoft in the upper-right. We circled Microsoft as usual. Microsoft messes up the data because it's such a dominant player and has referenced earlier as a massive scale and very quality telemetry from its endpoints. Unlike AWS, Microsoft is a direct competitor of CrowdStrike's. Nonetheless, the sector remains very strong with lots of players. Cyber is a large and expanding TAM with too many point tools that CrowdStrike is well positioned to consolidate, in our view. Now, here's a more narrow view of that same XY graph. What it does is it takes out Microsoft to kind of normalize the data a bit and it compares a number of firms that specialize in endpoint, along with CrowdStrike such as Tanium which also has a lightweight agent, by the way, and appears to be doing pretty well. SentinelOne did a relatively recent IPO, took off, stock hasn't done as well since, as you saw earlier. Carbon Black which VMware bought for around $2 billion and Cylance which is the Blackberry pivot. Now, we've also for context included Palo Alto and Cisco because they are major players with the big presence in security and they've got solutions that compete with CrowdStrike. But you can see how CrowdStrike looms large with a higher net score than these others. Although Palo Alto is very impressive, as is Cisco, steady. But Palo Alto also, sorry, CrowdStrike also has a very steady posture instead of just looming on that X axis. Let's now take a look at XDR, extended detection and response. XDR is kind of this bit of a buzzword but CrowdStrike seems to be taking the mantle and trying to sort of own the category and define it, in our view. It's a natural evolution of endpoint detection and response, EDR. In a recent ETR Roundtable hosted by our colleague, Eric Bradley, the sentiment among several CIOs is that existing SIEM, security information and event management platforms are inadequate and some see XDR as a replacement for, or at least a strong compliment to SIEM. CISOs want a single view of their data. Hmm, you haven't heard that before. They want help prioritizing potentially high impact breaches and they want to automate the low level stuff because the problem is sometimes too much information becomes information overload and you can't prioritize. So they want to consolidate platforms. They want better co consistency. They have too many dashboards, too many stove pipes. They have difficulty scaling and they have inconsistent telemetry data. As one CISO said, it's a call out here. "If the regulatory requirement isn't there, I absolutely would get rid of my SIEM." So CrowdStrike, we feel, is in a good position to continue to gain, share and disrupt this space. And that's what Dave Nicholson and I will be looking for next week when theCUBE is at Fal.Con, CrowdStrike's user conference. We'll be there for two days at the area in Vegas. In addition to CrowdStrike CEO, we'll hear from government cyber experts. We always hear that at security conferences and the CEO of Mandiant. Google just the other day closed its $5 billion plus acquisition of Mandiant, which is a threat intelligence expert and MSSP. I'm going to hear a lot about MSSPs by the way. CrowdStrike is a growing MSSP base. We think that's a really interesting sector because many companies don't have a SOC. As many as 50% of companies in the United States don't have a security operations center. So they need help, that's where MSPs come in. At the conference, there'll be a real focus on the Falcon platform. And we expect CrowdStrike to educate the audience on its multiple modules and how to take advantage of the capabilities beyond endpoint. And we'll also be watching for the ecosystem conversations. We saw this at reinforced, for example, where CrowdStrike and Okta were presenting together to show how these companies products compliment each other in the marketplace. Sometimes it gets confusing when you hear that CrowdStrike has an identity product. Okta, of course, is the identity specialist. So we'll be helping extract that signal from the noise. Because a generational company must have a strong ecosystem. CrowdStrike is evolving and our belief is that it has some work to do to create a stronger partner flywheel, and we're eager to dig into that next week. So if you're at the event, please do stop by theCUBE, say hello to Dave Nicholson and myself. Okay, we're going to leave it there today. Many thanks to Chip Simonton and Eric Bradley for their input and contributions to today's episode. Thanks to Alex Myerson, who does production, he also manages our podcast, Ken Schiffman as well, in our Boston studios, Kristen Martin and Cheryl Knight help get the word out on social media and our newsletters, and Rob Hof is our editor in chief over at siliconangle.com. He does some wonderful editing and I really appreciate that. Remember, all these episodes are available as podcasts wherever you listen, just search "Breaking Analysis" Podcast. I publish each week on wikibon.com and siliconangle.com and you can email me at david.vellante@siliconangle.com or DM me @DVellante or comment on our LinkedIn post. And please do check out etr.ai for the best survey data in the enterprise tech business. This is Dave Vellante for theCUBE Insights powered by ETR. Thanks for watching, and we'll see you next time on "Breaking Analysis". (upbeat music)
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