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Lena Smart & Tara Hernandez, MongoDB | International Women's Day


 

(upbeat music) >> Hello and welcome to theCube's coverage of International Women's Day. I'm John Furrier, your host of "theCUBE." We've got great two remote guests coming into our Palo Alto Studios, some tech athletes, as we say, people that've been in the trenches, years of experience, Lena Smart, CISO at MongoDB, Cube alumni, and Tara Hernandez, VP of Developer Productivity at MongoDB as well. Thanks for coming in to this program and supporting our efforts today. Thanks so much. >> Thanks for having us. >> Yeah, everyone talk about the journey in tech, where it all started. Before we get there, talk about what you guys are doing at MongoDB specifically. MongoDB is kind of gone the next level as a platform. You have your own ecosystem, lot of developers, very technical crowd, but it's changing the business transformation. What do you guys do at Mongo? We'll start with you, Lena. >> So I'm the CISO, so all security goes through me. I like to say, well, I don't like to say, I'm described as the ones throat to choke. So anything to do with security basically starts and ends with me. We do have a fantastic Cloud engineering security team and a product security team, and they don't report directly to me, but obviously we have very close relationships. I like to keep that kind of church and state separate and I know I've spoken about that before. And we just recently set up a physical security team with an amazing gentleman who left the FBI and he came to join us after 26 years for the agency. So, really starting to look at the physical aspects of what we offer as well. >> I interviewed a CISO the other day and she said, "Every day is day zero for me." Kind of goofing on the Amazon Day one thing, but Tara, go ahead. Tara, go ahead. What's your role there, developer productivity? What are you focusing on? >> Sure. Developer productivity is kind of the latest description for things that we've described over the years as, you know, DevOps oriented engineering or platform engineering or build and release engineering development infrastructure. It's all part and parcel, which is how do we actually get our code from developer to customer, you know, and all the mechanics that go into that. It's been something I discovered from my first job way back in the early '90s at Borland. And the art has just evolved enormously ever since, so. >> Yeah, this is a very great conversation both of you guys, right in the middle of all the action and data infrastructures changing, exploding, and involving big time AI and data tsunami and security never stops. Well, let's get into, we'll talk about that later, but let's get into what motivated you guys to pursue a career in tech and what were some of the challenges that you faced along the way? >> I'll go first. The fact of the matter was I intended to be a double major in history and literature when I went off to university, but I was informed that I had to do a math or a science degree or else the university would not be paid for. At the time, UC Santa Cruz had a policy that called Open Access Computing. This is, you know, the late '80s, early '90s. And anybody at the university could get an email account and that was unusual at the time if you were, those of us who remember, you used to have to pay for that CompuServe or AOL or, there's another one, I forget what it was called, but if a student at Santa Cruz could have an email account. And because of that email account, I met people who were computer science majors and I'm like, "Okay, I'll try that." That seems good. And it was a little bit of a struggle for me, a lot I won't lie, but I can't complain with how it ended up. And certainly once I found my niche, which was development infrastructure, I found my true love and I've been doing it for almost 30 years now. >> Awesome. Great story. Can't wait to ask a few questions on that. We'll go back to that late '80s, early '90s. Lena, your journey, how you got into it. >> So slightly different start. I did not go to university. I had to leave school when I was 16, got a job, had to help support my family. Worked a bunch of various jobs till I was about 21 and then computers became more, I think, I wouldn't say they were ubiquitous, but they were certainly out there. And I'd also been saving up every penny I could earn to buy my own computer and bought an Amstrad 1640, 20 meg hard drive. It rocked. And kind of took that apart, put it back together again, and thought that could be money in this. And so basically just teaching myself about computers any job that I got. 'Cause most of my jobs were like clerical work and secretary at that point. But any job that had a computer in front of that, I would make it my business to go find the guy who did computing 'cause it was always a guy. And I would say, you know, I want to learn how these work. Let, you know, show me. And, you know, I would take my lunch hour and after work and anytime I could with these people and they were very kind with their time and I just kept learning, so yep. >> Yeah, those early days remind me of the inflection point we're going through now. This major C change coming. Back then, if you had a computer, you had to kind of be your own internal engineer to fix things. Remember back on the systems revolution, late '80s, Tara, when, you know, your career started, those were major inflection points. Now we're seeing a similar wave right now, security, infrastructure. It feels like it's going to a whole nother level. At Mongo, you guys certainly see this as well, with this AI surge coming in. A lot more action is coming in. And so there's a lot of parallels between these inflection points. How do you guys see this next wave of change? Obviously, the AI stuff's blowing everyone away. Oh, new user interface. It's been called the browser moment, the mobile iPhone moment, kind of for this generation. There's a lot of people out there who are watching that are young in their careers, what's your take on this? How would you talk to those folks around how important this wave is? >> It, you know, it's funny, I've been having this conversation quite a bit recently in part because, you know, to me AI in a lot of ways is very similar to, you know, back in the '90s when we were talking about bringing in the worldwide web to the forefront of the world, right. And we tended to think in terms of all the optimistic benefits that would come of it. You know, free passing of information, availability to anyone, anywhere. You just needed an internet connection, which back then of course meant a modem. >> John: Not everyone had though. >> Exactly. But what we found in the subsequent years is that human beings are what they are and we bring ourselves to whatever platforms that are there, right. And so, you know, as much as it was amazing to have this freely available HTML based internet experience, it also meant that the negatives came to the forefront quite quickly. And there were ramifications of that. And so to me, when I look at AI, we're already seeing the ramifications to that. Yes, are there these amazing, optimistic, wonderful things that can be done? Yes. >> Yeah. >> But we're also human and the bad stuff's going to come out too. And how do we- >> Yeah. >> How do we as an industry, as a community, you know, understand and mitigate those ramifications so that we can benefit more from the positive than the negative. So it is interesting that it comes kind of full circle in really interesting ways. >> Yeah. The underbelly takes place first, gets it in the early adopter mode. Normally industries with, you know, money involved arbitrage, no standards. But we've seen this movie before. Is there hope, Lena, that we can have a more secure environment? >> I would hope so. (Lena laughs) Although depressingly, we've been in this well for 30 years now and we're, at the end of the day, still telling people not to click links on emails. So yeah, that kind of still keeps me awake at night a wee bit. The whole thing about AI, I mean, it's, obviously I am not an expert by any stretch of the imagination in AI. I did read (indistinct) book recently about AI and that was kind of interesting. And I'm just trying to teach myself as much as I can about it to the extent of even buying the "Dummies Guide to AI." Just because, it's actually not a dummies guide. It's actually fairly interesting, but I'm always thinking about it from a security standpoint. So it's kind of my worst nightmare and the best thing that could ever happen in the same dream. You know, you've got this technology where I can ask it a question and you know, it spits out generally a reasonable answer. And my team are working on with Mark Porter our CTO and his team on almost like an incubation of AI link. What would it look like from MongoDB? What's the legal ramifications? 'Cause there will be legal ramifications even though it's the wild, wild west just now, I think. Regulation's going to catch up to us pretty quickly, I would think. >> John: Yeah, yeah. >> And so I think, you know, as long as companies have a seat at the table and governments perhaps don't become too dictatorial over this, then hopefully we'll be in a good place. But we'll see. I think it's a really interest, there's that curse, we're living in interesting times. I think that's where we are. >> It's interesting just to stay on this tech trend for a minute. The standards bodies are different now. Back in the old days there were, you know, IEEE standards, ITF standards. >> Tara: TPC. >> The developers are the new standard. I mean, now you're seeing open source completely different where it was in the '90s to here beginning, that was gen one, some say gen two, but I say gen one, now we're exploding with open source. You have kind of developers setting the standards. If developers like it in droves, it becomes defacto, which then kind of rolls into implementation. >> Yeah, I mean I think if you don't have developer input, and this is why I love working with Tara and her team so much is 'cause they get it. If we don't have input from developers, it's not going to get used. There's going to be ways of of working around it, especially when it comes to security. If they don't, you know, if you're a developer and you're sat at your screen and you don't want to do that particular thing, you're going to find a way around it. You're a smart person. >> Yeah. >> So. >> Developers on the front lines now versus, even back in the '90s, they're like, "Okay, consider the dev's, got a QA team." Everything was Waterfall, now it's Cloud, and developers are on the front lines of everything. Tara, I mean, this is where the standards are being met. What's your reaction to that? >> Well, I think it's outstanding. I mean, you know, like I was at Netscape and part of the crowd that released the browser as open source and we founded mozilla.org, right. And that was, you know, in many ways kind of the birth of the modern open source movement beyond what we used to have, what was basically free software foundation was sort of the only game in town. And I think it is so incredibly valuable. I want to emphasize, you know, and pile onto what Lena was saying, it's not just that the developers are having input on a sort of company by company basis. Open source to me is like a checks and balance, where it allows us as a broader community to be able to agree on and enforce certain standards in order to try and keep the technology platforms as accessible as possible. I think Kubernetes is a great example of that, right. If we didn't have Kubernetes, that would've really changed the nature of how we think about container orchestration. But even before that, Linux, right. Linux allowed us as an industry to end the Unix Wars and as someone who was on the front lines of that as well and having to support 42 different operating systems with our product, you know, that was a huge win. And it allowed us to stop arguing about operating systems and start arguing about software or not arguing, but developing it in positive ways. So with, you know, with Kubernetes, with container orchestration, we all agree, okay, that's just how we're going to orchestrate. Now we can build up this huge ecosystem, everybody gets taken along, right. And now it changes the game for what we're defining as business differentials, right. And so when we talk about crypto, that's a little bit harder, but certainly with AI, right, you know, what are the checks and balances that as an industry and as the developers around this, that we can in, you know, enforce to make sure that no one company or no one body is able to overly control how these things are managed, how it's defined. And I think that is only for the benefit in the industry as a whole, particularly when we think about the only other option is it gets regulated in ways that do not involve the people who actually know the details of what they're talking about. >> Regulated and or thrown away or bankrupt or- >> Driven underground. >> Yeah. >> Which would be even worse actually. >> Yeah, that's a really interesting, the checks and balances. I love that call out. And I was just talking with another interview part of the series around women being represented in the 51% ratio. Software is for everybody. So that we believe that open source movement around the collective intelligence of the participants in the industry and independent of gender, this is going to be the next wave. You're starting to see these videos really have impact because there are a lot more leaders now at the table in companies developing software systems and with AI, the aperture increases for applications. And this is the new dynamic. What's your guys view on this dynamic? How does this go forward in a positive way? Is there a certain trajectory you see? For women in the industry? >> I mean, I think some of the states are trying to, again, from the government angle, some of the states are trying to force women into the boardroom, for example, California, which can be no bad thing, but I don't know, sometimes I feel a bit iffy about all this kind of forced- >> John: Yeah. >> You know, making, I don't even know how to say it properly so you can cut this part of the interview. (John laughs) >> Tara: Well, and I think that they're >> I'll say it's not organic. >> No, and I think they're already pulling it out, right. It's already been challenged so they're in the process- >> Well, this is the open source angle, Tara, you are getting at it. The change agent is open, right? So to me, the history of the proven model is openness drives transparency drives progress. >> No, it's- >> If you believe that to be true, this could have another impact. >> Yeah, it's so interesting, right. Because if you look at McKinsey Consulting or Boston Consulting or some of the other, I'm blocking on all of the names. There has been a decade or more of research that shows that a non homogeneous employee base, be it gender or ethnicity or whatever, generates more revenue, right? There's dollar signs that can be attached to this, but it's not enough for all companies to want to invest in that way. And it's not enough for all, you know, venture firms or investment firms to grant that seed money or do those seed rounds. I think it's getting better very slowly, but socialization is a much harder thing to overcome over time. Particularly, when you're not just talking about one country like the United States in our case, but around the world. You know, tech centers now exist all over the world, including places that even 10 years ago we might not have expected like Nairobi, right. Which I think is amazing, but you have to factor in the cultural implications of that as well, right. So yes, the openness is important and we have, it's important that we have those voices, but I don't think it's a panacea solution, right. It's just one more piece. I think honestly that one of the most important opportunities has been with Cloud computing and Cloud's been around for a while. So why would I say that? It's because if you think about like everybody holds up the Steve Jobs, Steve Wozniak, back in the '70s, or Sergey and Larry for Google, you know, you had to have access to enough credit card limit to go to Fry's and buy your servers and then access to somebody like Susan Wojcicki to borrow the garage or whatever. But there was still a certain amount of upfrontness that you had to be able to commit to, whereas now, and we've, I think, seen a really good evidence of this being able to lease server resources by the second and have development platforms that you can do on your phone. I mean, for a while I think Africa, that the majority of development happened on mobile devices because there wasn't a sufficient supply chain of laptops yet. And that's no longer true now as far as I know. But like the power that that enables for people who would otherwise be underrepresented in our industry instantly opens it up, right? And so to me that's I think probably the biggest opportunity that we've seen from an industry on how to make more availability in underrepresented representation for entrepreneurship. >> Yeah. >> Something like AI, I think that's actually going to take us backwards if we're not careful. >> Yeah. >> Because of we're reinforcing that socialization. >> Well, also the bias. A lot of people commenting on the biases of the large language inherently built in are also problem. Lena, I want you to weigh on this too, because I think the skills question comes up here and I've been advocating that you don't need the pedigree, college pedigree, to get into a certain jobs, you mentioned Cloud computing. I mean, it's been around for you think a long time, but not really, really think about it. The ability to level up, okay, if you're going to join something new and half the jobs in cybersecurity are created in the past year, right? So, you have this what used to be a barrier, your degree, your pedigree, your certification would take years, would be a blocker. Now that's gone. >> Lena: Yeah, it's the opposite. >> That's, in fact, psychology. >> I think so, but the people who I, by and large, who I interview for jobs, they have, I think security people and also I work with our compliance folks and I can't forget them, but let's talk about security just now. I've always found a particular kind of mindset with security folks. We're very curious, not very good at following rules a lot of the time, and we'd love to teach others. I mean, that's one of the big things stem from the start of my career. People were always interested in teaching and I was interested in learning. So it was perfect. And I think also having, you know, strong women leaders at MongoDB allows other underrepresented groups to actually apply to the company 'cause they see that we're kind of talking the talk. And that's been important. I think it's really important. You know, you've got Tara and I on here today. There's obviously other senior women at MongoDB that you can talk to as well. There's a bunch of us. There's not a whole ton of us, but there's a bunch of us. And it's good. It's definitely growing. I've been there for four years now and I've seen a growth in women in senior leadership positions. And I think having that kind of track record of getting really good quality underrepresented candidates to not just interview, but come and join us, it's seen. And it's seen in the industry and people take notice and they're like, "Oh, okay, well if that person's working, you know, if Tara Hernandez is working there, I'm going to apply for that." And that in itself I think can really, you know, reap the rewards. But it's getting started. It's like how do you get your first strong female into that position or your first strong underrepresented person into that position? It's hard. I get it. If it was easy, we would've sold already. >> It's like anything. I want to see people like me, my friends in there. Am I going to be alone? Am I going to be of a group? It's a group psychology. Why wouldn't? So getting it out there is key. Is there skills that you think that people should pay attention to? One's come up as curiosity, learning. What are some of the best practices for folks trying to get into the tech field or that's in the tech field and advancing through? What advice are you guys- >> I mean, yeah, definitely, what I say to my team is within my budget, we try and give every at least one training course a year. And there's so much free stuff out there as well. But, you know, keep learning. And even if it's not right in your wheelhouse, don't pick about it. Don't, you know, take a look at what else could be out there that could interest you and then go for it. You know, what does it take you few minutes each night to read a book on something that might change your entire career? You know, be enthusiastic about the opportunities out there. And there's so many opportunities in security. Just so many. >> Tara, what's your advice for folks out there? Tons of stuff to taste, taste test, try things. >> Absolutely. I mean, I always say, you know, my primary qualifications for people, I'm looking for them to be smart and motivated, right. Because the industry changes so quickly. What we're doing now versus what we did even last year versus five years ago, you know, is completely different though themes are certainly the same. You know, we still have to code and we still have to compile that code or package the code and ship the code so, you know, how well can we adapt to these new things instead of creating floppy disks, which was my first job. Five and a quarters, even. The big ones. >> That's old school, OG. There it is. Well done. >> And now it's, you know, containers, you know, (indistinct) image containers. And so, you know, I've gotten a lot of really great success hiring boot campers, you know, career transitioners. Because they bring a lot experience in addition to the technical skills. I think the most important thing is to experiment and figuring out what do you like, because, you know, maybe you are really into security or maybe you're really into like deep level coding and you want to go back, you know, try to go to school to get a degree where you would actually want that level of learning. Or maybe you're a front end engineer, you want to be full stacked. Like there's so many different things, data science, right. Maybe you want to go learn R right. You know, I think it's like figure out what you like because once you find that, that in turn is going to energize you 'cause you're going to feel motivated. I think the worst thing you could do is try to force yourself to learn something that you really could not care less about. That's just the worst. You're going in handicapped. >> Yeah and there's choices now versus when we were breaking into the business. It was like, okay, you software engineer. They call it software engineering, that's all it was. You were that or you were in sales. Like, you know, some sort of systems engineer or sales and now it's,- >> I had never heard of my job when I was in school, right. I didn't even know it was a possibility. But there's so many different types of technical roles, you know, absolutely. >> It's so exciting. I wish I was young again. >> One of the- >> Me too. (Lena laughs) >> I don't. I like the age I am. So one of the things that I did to kind of harness that curiosity is we've set up a security champions programs. About 120, I guess, volunteers globally. And these are people from all different backgrounds and all genders, diversity groups, underrepresented groups, we feel are now represented within this champions program. And people basically give up about an hour or two of their time each week, with their supervisors permission, and we basically teach them different things about security. And we've now had seven full-time people move from different areas within MongoDB into my team as a result of that program. So, you know, monetarily and time, yeah, saved us both. But also we're showing people that there is a path, you know, if you start off in Tara's team, for example, doing X, you join the champions program, you're like, "You know, I'd really like to get into red teaming. That would be so cool." If it fits, then we make that happen. And that has been really important for me, especially to give, you know, the women in the underrepresented groups within MongoDB just that window into something they might never have seen otherwise. >> That's a great common fit is fit matters. Also that getting access to what you fit is also access to either mentoring or sponsorship or some sort of, at least some navigation. Like what's out there and not being afraid to like, you know, just ask. >> Yeah, we just actually kicked off our big mentor program last week, so I'm the executive sponsor of that. I know Tara is part of it, which is fantastic. >> We'll put a plug in for it. Go ahead. >> Yeah, no, it's amazing. There's, gosh, I don't even know the numbers anymore, but there's a lot of people involved in this and so much so that we've had to set up mentoring groups rather than one-on-one. And I think it was 45% of the mentors are actually male, which is quite incredible for a program called Mentor Her. And then what we want to do in the future is actually create a program called Mentor Them so that it's not, you know, not just on the female and so that we can live other groups represented and, you know, kind of break down those groups a wee bit more and have some more granularity in the offering. >> Tara, talk about mentoring and sponsorship. Open source has been there for a long time. People help each other. It's community-oriented. What's your view of how to work with mentors and sponsors if someone's moving through ranks? >> You know, one of the things that was really interesting, unfortunately, in some of the earliest open source communities is there was a lot of pervasive misogyny to be perfectly honest. >> Yeah. >> And one of the important adaptations that we made as an open source community was the idea, an introduction of code of conducts. And so when I'm talking to women who are thinking about expanding their skills, I encourage them to join open source communities to have opportunity, even if they're not getting paid for it, you know, to develop their skills to work with people to get those code reviews, right. I'm like, "Whatever you join, make sure they have a code of conduct and a good leadership team. It's very important." And there are plenty, right. And then that idea has come into, you know, conferences now. So now conferences have codes of contact, if there are any good, and maybe not all of them, but most of them, right. And the ideas of expanding that idea of intentional healthy culture. >> John: Yeah. >> As a business goal and business differentiator. I mean, I won't lie, when I was recruited to come to MongoDB, the culture that I was able to discern through talking to people, in addition to seeing that there was actually women in senior leadership roles like Lena, like Kayla Nelson, that was a huge win. And so it just builds on momentum. And so now, you know, those of us who are in that are now representing. And so that kind of reinforces, but it's all ties together, right. As the open source world goes, particularly for a company like MongoDB, which has an open source product, you know, and our community builds. You know, it's a good thing to be mindful of for us, how we interact with the community and you know, because that could also become an opportunity for recruiting. >> John: Yeah. >> Right. So we, in addition to people who might become advocates on Mongo's behalf in their own company as a solution for themselves, so. >> You guys had great successful company and great leadership there. I mean, I can't tell you how many times someone's told me "MongoDB doesn't scale. It's going to be dead next year." I mean, I was going back 10 years. It's like, just keeps getting better and better. You guys do a great job. So it's so fun to see the success of developers. Really appreciate you guys coming on the program. Final question, what are you guys excited about to end the segment? We'll give you guys the last word. Lena will start with you and Tara, you can wrap us up. What are you excited about? >> I'm excited to see what this year brings. I think with ChatGPT and its copycats, I think it'll be a very interesting year when it comes to AI and always in the lookout for the authentic deep fakes that we see coming out. So just trying to make people aware that this is a real thing. It's not just pretend. And then of course, our old friend ransomware, let's see where that's going to go. >> John: Yeah. >> And let's see where we get to and just genuine hygiene and housekeeping when it comes to security. >> Excellent. Tara. >> Ah, well for us, you know, we're always constantly trying to up our game from a security perspective in the software development life cycle. But also, you know, what can we do? You know, one interesting application of AI that maybe Google doesn't like to talk about is it is really cool as an addendum to search and you know, how we might incorporate that as far as our learning environment and developer productivity, and how can we enable our developers to be more efficient, productive in their day-to-day work. So, I don't know, there's all kinds of opportunities that we're looking at for how we might improve that process here at MongoDB and then maybe be able to share it with the world. One of the things I love about working at MongoDB is we get to use our own products, right. And so being able to have this interesting document database in order to put information and then maybe apply some sort of AI to get it out again, is something that we may well be looking at, if not this year, then certainly in the coming year. >> Awesome. Lena Smart, the chief information security officer. Tara Hernandez, vice president developer of productivity from MongoDB. Thank you so much for sharing here on International Women's Day. We're going to do this quarterly every year. We're going to do it and then we're going to do quarterly updates. Thank you so much for being part of this program. >> Thank you. >> Thanks for having us. >> Okay, this is theCube's coverage of International Women's Day. I'm John Furrier, your host. Thanks for watching. (upbeat music)

Published Date : Mar 6 2023

SUMMARY :

Thanks for coming in to this program MongoDB is kind of gone the I'm described as the ones throat to choke. Kind of goofing on the you know, and all the challenges that you faced the time if you were, We'll go back to that you know, I want to learn how these work. Tara, when, you know, your career started, you know, to me AI in a lot And so, you know, and the bad stuff's going to come out too. you know, understand you know, money involved and you know, it spits out And so I think, you know, you know, IEEE standards, ITF standards. The developers are the new standard. and you don't want to do and developers are on the And that was, you know, in many ways of the participants I don't even know how to say it properly No, and I think they're of the proven model is If you believe that that you can do on your phone. going to take us backwards Because of we're and half the jobs in cybersecurity And I think also having, you know, I going to be of a group? You know, what does it take you Tons of stuff to taste, you know, my primary There it is. And now it's, you know, containers, Like, you know, some sort you know, absolutely. I (Lena laughs) especially to give, you know, Also that getting access to so I'm the executive sponsor of that. We'll put a plug in for it. and so that we can live to work with mentors You know, one of the things And one of the important and you know, because So we, in addition to people and Tara, you can wrap us up. and always in the lookout for it comes to security. addendum to search and you know, We're going to do it and then we're I'm John Furrier, your host.

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Hitachi Vantara | Kim King


 

>>Hi everyone, welcome to this conversation. Lisa Martin here with Kim King, the SVP of Strategic Partners and Alliances at Hitachi. Kim, it's great to have you on the program. Thank you so much for joining me today. >>Thanks Lisa. It's great to be here. >>Let's talk about, so as we know, we talk about cloud all the time, the landscape, the cloud infrastructure landscape increasingly getting more and more complex. What are some of the biggest challenges and pain points that you're hearing from customers today? >>Yeah, so lot. There are lots, but I would say the, the few that we hear consistently, our cost, the complexity, right? Really the complexity of where do they go, how do they do it, and then availability. They have a lot of available options, but again, going back to complexity and cost, where do they think that they should move and how, how do they make that a successful move to the cloud? >>So talk to me, Hitachi vent has a great partner ecosystem. Where do partners play a role in helping customers to address some of the challenges with respect to the cloud landscape? >>Yeah, so part, our partners are really leading the way in the area of cloud in terms of helping customers understand the complexity is of the cloud. As we talked about, they're truly the trusted advisor. So when they look at a customer's complete infrastructure, what are the workloads, what are the CRI critical applications that they work with? What's the unique architecture that they have to drive with that customer for successful outcome and help them architect that? And so partners are truly leading the way across the board, understanding the complexities of each individual customer and then helping them make the right decisions with and for them. And then bringing us along as part of that, >>Talk to me a little bit about the partner landscape, the partner ecosystem at Hitachi. How does this fit into the overall sheet for the company? >>So we really look at our ecosystem as an extension of our sales organization and and really extension across the board, I would say our goal is to marry the right customer with the right partner and help them achieve their goals, ensure that they keep costs in check, that they ensure they don't have any security concerns, and that they have availability for the solutions and applications that they're trying to move to the cloud, which is most important. So we really, we really look at our ecosystem as a specialty ecosystem that adds high value for the right customers. >>So Kim, talk to me about how partners fit into Hitachi van's overall strategy. >>So I think our biggest differentiators with partners is that they're not just another number. Our partner organization is that valued extension of our overall sales pre-sales services organization. And we treat them like an extension of our organization. It's funny because I was just on a call with an analyst earlier this week and they said that AWS has increased their number of partners to 150,000 partners from, it was just under a hundred thousand. And I'm really not sure how you provide quality engagement to partners, right? And is how is that really a sustainable strategy? So for us, we look at trusted engagement across the ecosystem as a def differentiation. Really our goal is to make their life simple and profitable and really become their primary trusted partner when we go to market with them. And we see that paying dividends with our partners as they engage with us and as they expand and grow across the segments and then grow globally with us as well. >>And that's key, right? That synergistic approach when you're in customer conversations, what do you articulate as the key competitive differentiators where it relates to your partners? >>So really the, that they're the trusted advisor for that partner, right? That they understand our solutions better than any solution out there. And because we are not trying to be all things to our customers and our partners, that we being bring best breaths of breed, best of breed solutions to our customers through our partner community, they can truly provide that end user experience and the successful outcome that's needed without, you know, sort of all kinds of, you know, crazy cha challenges, right? When you look at it, they really wanna make sure that they're driving that co-developed solution and the successful outcome for that customer. >>So then how do you feel that Hitachi Ventura helps partners really to grow and expand their own business? >>Wow, so that's, there's tons of ways, but we've, we've created a very simplified, what we call digital selling platform. And in that digital selling platform, we've allowed our partners to choose their own price and pre-approve their pricing and their promotions. They've actually, we've expanded the way we go to market with our partners from a sort of a technical capabilities. We give them online what we call Hitachi online labs that allow them to really leverage all of the solutions and demo systems out there today. And they have complete access to any one of our resources, product management. And so we really have, like I said, we actually provide our partners with better tools and resources sometimes than we do our own sales and pre-sales organization. So we, we look at them as, because they have so many other solutions out there that we have to be one step ahead of everybody else to give them that solution capability and the expertise that they need for their customers. >>So if you dig in, where is it that hit Tashi van is helping partners succeed with your portfolio? >>Wow. So I think just across the board, I think we're really driving that profitable, trusted, and simplified engagement with our partner community because it's a value based and ease of doing business. I say that we allow them to scale and drive that sort of double digit growth through all of the solutions and and offerings that we have today. And because we've taken the approach of a very complex technical sort of infrastructure from a high end perspective and scaled it all the way through to our midsize enterprise, that allows them to really enter any customer at any vertical and provide them a really quality solution with that 100% data availability guarantee that we provide all of our customers. >>So then if we look at the overall sales cycle and the engagements, where is it that you're helping cus your partners rather succeed with the portfolio? >>Say that again? Sorry, my brain broke. No, >>No worries. So if we look at the overall sales cycle, where is it specifically where you're helping customers to succeed with the portfolio? >>So from the sales cycle, I think because we have the, a solution that is simple, easy, and really scaled for the type of customer that we have out there, it allows them to basically right size their infrastructure based on the application, the workload, the quality or the need that application may have and ensure that we provide them with that best solution. >>So then from a partner's perspective, how is it that Hitachi Valar is helping them to actually close deals faster? >>So lots of great ways I think between our pre-sales organization that's on call and available a hundred percent of the time. I think that we've seen, again, the trusted engagement with them from a pricing and packaging perspective. You know, we, you know, two years ago it would take them two to three weeks to get a pre-approved quote where today they pre-approved their own quotes in less than an hour and can have that in the hands of a customer. So we've seen that the ability for our partners to create and close orders in very short periods of time and actually get to the customers needs very quickly, >>So dramatically faster. Yes. Talk about overall, so the partner relationship's quite strong, very synergistic that that Hitachi Van Tara has with its customers. Let's kind of step back out and look at the cloud infrastructure. How do you see it evolving the market evolving overall in say the next six months, 12 months? >>Yeah, so we see it significantly, we've been doing a lot of studies around this specifically. So we have a couple of different teams. We have our sort of our standard partner team that's out there and now we have a specialty cloud service provider team that really focuses on partners that are building and their own infrastructure or leveraging the infrastructure of a large hyperscaler or another GSI and selling that out. And then what we found is when we dig down deeper into our standard sort of partner reseller or value added reseller market, what we're seeing is that they are want to have the capability to resell the solution, but they don't necessarily wanna have to own and manage the infrastructure themselves. So we're helping both of them through that transition. We see that it's gonna, so it's funny cuz you're seeing a combination of many customers move to really the hyperscale or public cloud and many of them want to repatriate their infrastructure back because they see costs and they see challenges around all of that. And so our partners are helping them understand, again, what is the best solution for them as opposed to let's just throw everything in the public cloud and hope that it works. We're we're really helping them make the right choices and decisions and we're putting the right partners together to make that happen. >>And how is that feedback, that data helping you to really grow and expand the partner program as a whole? >>Yeah, so it's been fantastic. We have a whole methodology that we, we created, which is called PDM plan, develop monetize with partners. And so we went specifically to market with cloud service providers that'll, and we really tested this out with them. We didn't just take a solution and say, here, go sell it, good luck and have, you know, have a nice day. Many vendors are doing that to their partners and the partners are struggling to monetize those solutions. So we spend a lot of time up front planning with them. What is not only the storage infrastructure but your potentially your data resiliency and, and everything else that you're looking at, your security solutions. How do we package those all together? How do we help you monetize them? And then who do you target from a customer perspective so that they've built up a pipeline of opportunities that they can go and work with us on and we really sit side by side with them in a co-development environment. >>In terms of that side by side relationship, how does the partner ecosystem play a role in Hitachi Ventura's as a service business? >>So our primary go to market with our, as a service business is with and through partners. So our goal is to drive all, almost all of our as a service. Unless it's super highly complex and something that a partner cannot support, we will make sure that they really, we leverage that with them, with all of our partners. >>So strong partner relationships, very strong partner ecosystem. What would you say, Kim, are the priorities for the partner ecosystem going forward? The next say year? >>Yeah, so we have tons of priorities, right? I think really it's double digit growth for them and for us. And understanding how a simpler approach that's customized for the specific vertical or customer base or go to market that they have that helps them quickly navigate to be successful. Our goal is always to facilitate trusted engagements with our partners, right? And then really, as I said, directionally our goal is to be 95 to a hundred percent of all of our business through partners, which helps customers and then really use that trusted advisor status they have to provide that value base to the customer. And then going back on our core tenants, which are, you know, really a trusted, simplified, profitable engagement with our partner community that allows them to really drive successful outcomes and go to market with us. And the end users. >>Trust is such an important word, we can't underutilize it in these conversations. Last question. From a channel business perspective, what are some of the priorities coming down the pike? >>Oh, again, my biggest priority, right, is always to increase the number of partner success stories that we have and increase the value to our partners. So we really dig in, we, we right now sit about number one or number two in, in our space with our partners in ease of doing business and value to our channel community. We wanna be number one across the board, right? Our goal is to make sure that our partner community is successful and that they really have those profitable engagements and that we're globally working with them to drive that engagement and, and help them build more profitable businesses. And so we just take tons of feedback from our partners regularly to help them understand, but we, we act on it very quickly so that we can make sure we incorporate that into our new program and our go to markets as we roll out every year. >>It sounds like a great flywheel of communications from the partners. Kim, thank you so much for joining me today, talking about what Hitachi van is doing with its partner ecosystem, the value in it for customers. We appreciate your insights. >>Thank you very much. >>You're watching the Cube, the leader in live tech coverage.

Published Date : Dec 6 2022

SUMMARY :

Kim, it's great to have you on the program. Let's talk about, so as we know, we talk about cloud all the time, the landscape, how, how do they make that a successful move to the cloud? a role in helping customers to address some of the challenges with respect to the make the right decisions with and for them. Talk to me a little bit about the partner landscape, the partner ecosystem at Hitachi. So we really look at our ecosystem as an extension of our sales organization and and So Kim, talk to me about how partners fit into Hitachi van's overall And we see that paying dividends with our partners as they engage with that we being bring best breaths of breed, best of breed solutions to And so we really have, like I said, we actually provide our partners with better I say that we allow them to scale and Say that again? So if we look at the overall sales cycle, where is it specifically where So from the sales cycle, I think because we have the, I think that we've seen, again, the trusted engagement with them strong, very synergistic that that Hitachi Van Tara has with its customers. So we have a couple of different teams. So we spend a lot of time up front planning with them. So our primary go to market with our, as a service business is with and through partners. Kim, are the priorities for the partner ecosystem going forward? Our goal is always to facilitate trusted engagements with our partners, right? From a channel business perspective, what are some of the priorities coming down the pike? that into our new program and our go to markets as we roll out every year. joining me today, talking about what Hitachi van is doing with its partner ecosystem, the value in

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Hitachi Vantara Drives Customer Success with Partners


 

>>Partnerships in the technology business, they take many forms. For example, technology engineering partnerships, they drive value in terms of things like integration and simplification for customers. There are product partnerships. They fill gaps to create more comprehensive portfolios and more fluid relationships. Partner ecosystems offer high touch services. They offer managed services, specialty services, and other types of value based off of strong customer knowledge and years of built up trust partner. Ecosystems have evolved quite dramatically over the last decade with the explosion of data and the popularity of cloud models. Public, private, hybrid cross clouds. You know, yes it's true. Partnerships are about selling solutions, but they're also about building long term sustainable trust, where a seller learns the ins and outs of a customer's organization and can anticipate needs that are gonna drive bottom line profits for both sides of the equation, the buyer and the seller. >>Hello and welcome to our program. My name is Dave Ante and along with Lisa Martin, we're going to explore how Hitachi Van Tara drives customer success with its partners. First up, Lisa speaks with Kim King. She's the senior vice president of Strategic Partners and Alliances at Hitachi Van. And they'll set the table for us with an overview of how Hitachi is working with partners and where their priorities are focused. Then Russell Kingsley, he's the CTO and global VP of Technical sales at Hitachi Van Tara. He joins Lisa for a discussion of the tech and they're gonna get into cloud generally and hybrid cloud specifically in the role that partners play in the growing as a service movement. Now, after that I'll talk with Tom Christensen, he's the global technology advisor and executive analyst at Hitachi Vitara. And we're gonna talk about a really important topic, sustainability. We're gonna discuss where it came from, why it matters, and how it can drive bottom line profitability for both customers and partners. Let's get right to it. >>Where for the data driven, for those who understand clarity is currency. Believe progress requires precision and no neutral is not an option. We're for the data driven. The ones who can't tolerate failure, who won't put up with downtime or allow access to just anyone. We're for the data driven who act on insight instead of instinct. Bank on privacy instead of probabilities and rely on resilience instead of reaction. We see ourselves in the obsessive, the incessant, progressive, and the meticulously engineered. We enable the incredible identify with the analytical and are synonymous with the mission critical. We know what it means to be data driven because data is in our dna. We were born industrial and and we breathe digital. We speak predictive analytics so you can keep supply chains moving. We bleed in store and online insights so you can accurately predict customer preferences. We sweat security and digital privacy so you can turn complex regulations into competitive advantage. We break down barriers and eliminate silos. So you can go from data rich to data driven because it's clear the future belongs to the data driven. >>Hey everyone, welcome to this conversation. Lisa Martin here with Kim King, the SVP of Strategic Partners and Alliances at Hitachi Ventera. Kim, it's great to have you on the program. Thank you so much for joining me today. >>Thanks Lisa. It's great to be here. >>Let's talk about, so as we know, we talk about cloud all the time, the landscape, the cloud infrastructure landscape increasingly getting more and more complex. What are some of the biggest challenges and pain points that you're hearing from customers today? >>Yeah, so lot. There are lots, but I would say the, the few that we hear consistently are cost the complexity, right? Really the complexity of where do they go, how do they do it, and then availability. They have a lot of available options, but again, going back to complexity and cost, where do they think that they should move and how, how do they make that a successful move to the cloud? >>So talk to me, Hitachi Ventura has a great partner ecosystem. Where do partners play a role in helping customers to address some of the challenges with respect to the cloud landscape? >>Yeah, so part, our partners are really leading the way in the area of cloud in terms of helping customers understand the complexities of the cloud. As we talked about, they're truly the trusted advisor. So when they look at a customer's complete infrastructure, what are the workloads, what are the CRI critical applications that they work with? What's the unique architecture that they have to drive with that customer for a successful outcome and help them architect that? And so partners are truly leading the way across the board, understanding the complexities of each individual customer and then helping them make the right decisions with and for them. And then bringing us along as part of that, >>Talk to me a little bit about the partner landscape, the partner ecosystem at Hitachi Ventura. How does this fit into the overall strategy for the company? >>So we really look at our ecosystem as an extension of our sales organization and and really extension across the board, I would say our goal is to marry the right customer with the right partner and help them achieve their goals, ensure that they keep costs in check, that they ensure they don't have any security concerns, and that they have availability for the solutions and applications that they're trying to move to the cloud, which is most important. So we really, we really look at our ecosystem as a specialty ecosystem that adds high value for the right customers. >>So Kim, talk to me about how partners fit into Hitachi van's overall strategy. >>So I think our biggest differentiators with partners is that they're not just another number. Our partner organization is that valued extension of our overall sales pre-sales services organization. And we treat them like an extension of our organization. It's funny because I was just on a call with an analyst earlier this week and they said that AWS has increased their number of partners to 150,000 partners from, it was just under a hundred thousand. And I'm really not sure how you provide quality engagement to partners, right? And is how is that really a sustainable strategy? So for us, we look at trusted engagement across the ecosystem as a def differentiation. Really our goal is to make their life simple and profitable and really become their primary trusted partner when we go to market with them. And we see that paying dividends with our partners as they engage with us and as they expand and grow across the segments and then grow globally with us as well. >>And that's key, right? That synergistic approach when you're in customer conversations, what do you articulate as the key competitive differentiators where it relates to your partners? >>So really the, that they're the trusted advisor for that partner, right? That they understand our solutions better than any solution out there. And because we're not trying to be all things to our customers and our partners that we being bring best breaths of breed, best of breed solutions to our customers through our partner community, they can truly provide that end user experience and the successful outcome that's needed without, you know, sort of all kinds of, you know, crazy cha challenges, right? When you look at it, they really wanna make sure that they're driving that co-developed solution and the successful outcome for that customer. >>So then how do you feel that Hitachi Ventura helps partners really to grow and expand their own business? >>Wow, so that's, there's tons of ways, but we've, we've created a very simplified, what we call digital selling platform. And in that digital selling platform, we have allowed our partners to choose their own price and pre-approve their pricing and their promotions. They've actually, we've expanded the way we go to market with our partners from a sort of a technical capabilities. We give them online what we call Hitachi online labs that allow them to really leverage all of the solutions and demo systems out there today. And they have complete access to any one of our resources, product management. And so we really have, like I said, we actually provide our partners with better tools and resources sometimes than we do our own sales and pre-sales organization. So we, we look at them as, because they have so many other solutions out there that we have to be one step ahead of everybody else to give them that solution capability and the expertise that they need for their customers. >>So if you dig in, where is it that Hiti is helping partners succeed with your portfolio? >>Wow. So I think just across the board, I think we're really driving that profitable, trusted, and simplified engagement with our partner community because it's a value base and ease of doing business. I say that we allow them to scale and drive that sort of double digit growth through all of the solutions and and offerings that we have today. And because we've taken the approach of a very complex technical sort of infrastructure from a high end perspective and scale it all the way through to our mid-size enterprise, that allows them to really enter any customer at any vertical and provide them a really quality solution with that 100% data availability guarantee that we provide all of our customers. >>So then if we look at the overall sales cycle and the engagement, where is it that you're helping cus your partners rather succeed with the portfolio? >>Say that again? Sorry, my brain broke. No, >>No worries. So if we look at the overall sales cycle, where is it specifically where you're helping customers to succeed with the portfolio? >>So from the sales cycle, I think because we have the, a solution that is simple, easy, and really scaled for the type of customer that we have out there, it allows them to basically right size their infrastructure based on the application, the workload, the quality or the need that application may have and ensure that we provide them with that best solution. >>So then from a partner's perspective, how is it that Hitachi van is helping them to actually close deals faster? >>Yeah, so lots of great ways I think between our pre-sales organization that's on call and available a hundred percent of the time, I think that we've seen, again, the trusted engagement with them from a pricing and packaging perspective. You know, we, you know, two years ago it would take them two to three weeks to get a pre-approved quote where today they preapproved their own quotes in less than an hour and can have that in the hands of a customer. So we've seen that the ability for our partners to create and close orders in very short periods of time and actually get to the customer's needs very quickly, >>So dramatically faster. Yes. Talk about overall, so the partner relationship's quite strong, very synergistic that, that Hitachi Ventura has with its customers. Let's kind of step back out and look at the cloud infrastructure. How do you see it evolving the market evolving overall in say the next six months, 12 months? >>Yeah, so we see it significantly, we've been doing a lot of studies around this specifically. So we have a couple of different teams. We have our sort of our standard partner team that's out there and now we have a specialty cloud service provider team that really focuses on partners that are building and their own infrastructure or leveraging the infrastructure of a large hyperscaler or another GSI and selling that out. And then what we found is when we dig down deeper into our standard sort of partner reseller or value added reseller market, what we're seeing is that they are want to have the capability to resell the solution, but they don't necessarily wanna have to own and manage the infrastructure themselves. So we're helping both of them through that transition. We see that it's gonna, so it's funny cuz you're seeing a combination of many customers move to really the hyperscale or public cloud and many of them want to repatriate their infrastructure back because they see costs and they see challenges around all of that. And so our partners are helping them understand, again, what is the best solution for them as opposed to let's just throw everything in the public cloud and hope that it works. We're we're really helping them make the right choices and decisions and we're putting the right partners together to make that happen. >>And how was that feedback, that data helping you to really grow and expand the partner program as a whole? >>Yeah, so it's been fantastic. We have a whole methodology that we, we created, which is called PDM plan, develop monetize with partners. And so we went specifically to market with cloud service providers that'll, and we really tested this out with them. We didn't just take a solution and say, here, go sell it, good luck and have, you know, have a nice day. Many vendors are doing that to their partners and the partners are struggling to monetize those solutions. So we spend a lot of time upfront planning with them what is not only the storage infrastructure but your potentially your data resiliency and, and everything else that you're looking at your security solutions. How do we package those all together? How do we help you monetize them? And then who do you target from a customer perspective so that they've built up a pipeline of opportunities that they can go and work with us on and we really sit side by side with them in a co-development environment. >>In terms of that side by side relationship, how does the partner ecosystem play a role in Hitachi Venturas as a service business? >>So our primary go to market with our, as a service business is with and through partners. So our goal is to drive all, almost all of of our as a service. Unless it's super highly complex and something that a partner cannot support, we will make sure that they really, we leverage that with them with all of our partners. >>So strong partner relationships, very strong partner ecosystem. What would you say, Kim, are the priorities for the partner ecosystem going forward? The next say year? >>Yeah, so we have tons of priorities, right? I think really it's double digit growth for them and for us and understanding how a simpler approach that's customized for the specific vertical or customer base or go to market that they have that helps them quickly navigate to be successful. Our goal is always to facilitate trusted engagements with our partners, right? And then really, as I said, directionally our goal is to be 95 to a hundred percent of all of our business through partners, which helps customers and then really use that trusted advisor status they have to provide that value base to the customer. And then going back on our core tenants, which are, you know, really a trusted, simplified, profitable engagement with our partner community that allows them to really drive successful outcomes and go to market with us. And the end users >>Trust is such an important word, we can't underutilize it in these conversations. Last question. Sure. From a channel business perspective, what are some of the priorities coming down the pi? >>Oh, again, my biggest priority right, is always to increase the number of partner success stories that we have and increase the value to our partners. So we really dig in, we, we right now sit about number one or number two in, in our space with our partners in ease of doing business and value to our channel community. We wanna be number one across the board, right? Our goal is to make sure that our partner community is successful and that they really have those profitable engagements and that we're globally working with them to drive that engagement and, and help them build more profitable businesses. And so we just take tons of feedback from our partners regularly to help them understand, but we, we act on it very quickly so that we can make sure we incorporate that into our new program and our go to markets as we roll out every year. >>It sounds like a great flywheel of communications from the partners. Kim, thank you so much for joining me today talking about what Hitachi Vanta is doing with its partner ecosystem, the value in IT for customers. We appreciate your insights. >>Thank you very much. >>Up next, Russell Kingsley joins me, TTO and global VP of technical sales at Hitachi van you watch in the cube, the leader in live tech coverage. Hey everyone, welcome back to our conversation with Hitachi van Tara, Lisa Martin here with Russell Skillings Lee, the CTO and global VP of technical sales at Hitachi Van Russell. Welcome to the program. >>Hi Lisa, nice to be here. >>Yeah, great to have you. So here we are, the end of calendar year 2022. What are some of the things that you're hearing out in the field in terms of customers priorities for 2023? >>Yeah, good one. Just to, to set the scene here, we tend to deal with enterprises that have mission critical IT environments and this has been been our heritage and continues to be our major strength. So just to set the scene here, that's the type of customers predominantly I'd be hearing from. And so that's what you're gonna hear about here. Now, in terms of 20 23, 1 of the, the macro concerns that's hitting almost all of our customers right now, as you can probably appreciate is power consumption. And closely related to that is the whole area of ESG and decarbonization and all of that sort of thing. And I'm not gonna spend a lot of time on that one because that would be a whole session in itself really, but sufficient to say it is a priority for us and we, we are very active in, in that area. >>So aside from from that one that that big one, there's also a couple that are pretty much in common for most of our customers and, and we're in areas that we can help. One of those is in an exponential growth of the amount of data. It's, it's predicted that the world's data is going to triple by 2025 as opposed to where it was in 2020. And I think everyone's contributing to that, including a lot of our customers. So just the, the act of managing that amount of data is, is a challenge in itself. And I think closely related to that, a desire to use that data better to be able to gain more business insights and potentially create new business outcomes and business ideas are, is another one of those big challenges in, in that sense, I think a lot of our customers are in what I would kind of call, I affectionately call the, the post Facebook awakening era. >>And that, and what I mean by that is our traditional businesses, you know, when Facebook came along, they kind of illustrated, hey, I can actually make some use out of what is seemingly an enormous amount of useless data, which is exactly what Facebook did. They took a whole lot of people's Yeah. The minutia of people's lives and turned it into, you know, advertising revenue by gaining insights from, from those, you know, sort of seemingly useless bits of data and, you know, right. And I think this actually gave rise to a lot of digital business at that time. You know, the, this whole idea of what all you really need to be successful and disrupt the business is, you know, a great idea, you know, an app and a whole bunch of data to, to power it. And I think that a lot of our traditional customers are looking at this and wondering how do they get into the act? Because they've been collecting data for decades, an enormous amount of data, right? >>Yes. I mean, every company these days has to be a data company, but to your point, they've gotta be able to extract those insights, monetize it, and create real value new opportunities for the business at record speed. >>Yes, that's exactly right. And so being able to, to wield that data somehow turn it, it kind of turns out our customer's attentions to the type of infrastructure they've got as well. I mean, if you think about those, those companies that have been really successful in leveraging that data, a lot of them have, especially in the early days, leverage the cloud to be able to build out their capabilities. And, and the reason why the cloud became such a pivotal part of that is because it offered self-service. IT and, you know, easy development platforms to those people that had these great ideas. All they needed was access to, to, you know, the provider's website and a credit card. And now all of a sudden they could start to build a business from that. And I think a lot of our traditional IT customers are looking at this and thinking, now how do I build a similar sort of infrastructure? How do I, how do I provide that kind of self-service capability to the owners of business inside my company rather than the IT company sort of being a gatekeeper to a selected set of software packages. How now do I provide this development platform for those internal users? And I think this, this is why really hybrid cloud has become the defacto IT sort of architectural standard, even even for quite traditional, you know, IT companies. >>So when it comes to hybrid cloud, what are some of the challenges the customers are facing? And then I know Hitachi has a great partner ecosystem. How are partners helping Hitachi Ventura and its customers to eliminate or solve some of those hybrid cloud challenges? >>Yeah, it's, it, it's a great question and you know, it's, it's not 1975 anymore. It's not, it's not like you're going to get all of your IT needs from, from one, from one vendor hybrid by sort of, it's, you know, by definition is going to involve multiple pieces. And so there basically is no hybrid at all without a partner ecosystem. You really can't get everything at, at a one stop shop like you used to. But even if you think about the biggest public cloud provider on the planet, aws even, it has a marketplace for partner solutions. So, so even they see, even for customers that might consider themselves to be all in on public cloud, they are still going to need other pieces, which is where their marketplace come comes in. Now for, for us, you know, we are, we're a company that, we've been in the IT business for over 60 years, one of one of the few that could claim that sort of heritage. >>And you know, we've seen a lot of this type of change ourselves, this change of attitude from being able to provide everything yourself to being someone who contributes to an overall ecosystem. So partners are absolutely essential. And so now we kind of have a, a partner first philosophy when it comes to our routes to market on, you know, not just our own products in terms of, you know, a resale channel or whatever, but also making sure that we are working with some of the biggest players in hybrid infrastructure and determining where we can add value to that in our, in our own solutions. And so, you know, when it comes to those, those partner ecosystems, we're always looking for the spaces where we can best add our own capability to those prevailing IT architectures that are successful in the marketplace. And, you know, I think that it's probably fair to say, you know, for us, first and foremost, we, we have a reputation for having the biggest, most reliable storage infrastructure available on the planet. >>And, and we make no apologies for the fact that we tout our speeds and feeds and uptime supremacy. You know, a lot of our, a lot of our competitors would suggest that, hey, speeds and feeds don't matter. But you know, that's kind of what you say when, when you're not the fastest or not the most reliable, you know, of course they matter. And for us, what we, the way that we look at this is we say, let's look at who's providing the best possible hybrid solutions and let's partner with them to make those solutions even better. That's the way we look at it. >>Can you peel the, the onion a little bit on the technology underpinning the solutions, give a glimpse into that and then maybe add some color in terms of how partners are enhancing that? >>Yeah, let me, let me do that with a few examples here, and maybe what I can do is I can sort of share some insight about the way we think with partnering with, with particular people and why it's a good blend or why we see that technologically it's a good blend. So for example, the work we do with VMware, which we consider to be one of our most important hybrid cloud partners and in, and in fact it's, it's my belief, they have one of the strongest hybrid cloud stories in the industry. It resonates really strongly with, with our customers as well. But you know, we think it's made so much better with the robust underpinnings that we provide. We're one of the, one of the few storage vendors that provides a 100% data availability guarantee. So we, we take that sort of level of reliability and we add other aspects like life cycle management of the underpinning infrastructure. >>We combine that with what VMware's doing, and then when you look at our converged or hyper-converged solutions with them, it's a better together story where you now have what is one of the best hybrid cloud stories in the industry with VMware. But now for the on premise part, especially, you've now added a hundred percent data, data availability guarantee, and you've made managing the underlying infrastructure so much easier through the tools that we provide that go down to that level A level underneath where VMware are. And so that's, that's VMware. I've got a couple, couple more examples just to sort of fill, fill that out a bit. Sure. Cisco is another part, very strong partner of ours, a key partner. And I mean, you look at Cisco, they're a 50 billion IT provider and they don't have a dedicated storage infrastructure of their own. So they're going to partner with someone. >>From our perspective, we look at Cisco's, Cisco's customers and we look at them and think they're very similar to our own in terms of they're known to appreciate performance and reliability and a bit of premium in quality, and we think we match them them quite well. They're already buying what we believe are the best converge platforms in the industry from Cisco. So it makes sense that those customers would want to compliment that investment with the best array, best storage array they can get. And so we think we are helping Cisco's customers make the most of their decision to be ucs customers. Final one for, for you, Lisa, by way of example, we have a relationship with, with Equinix and you know, Equinix is the world's sort of leading colo provider. And the way I think they like to think of themselves, and I too tend to agree with them, is their, they're one of the most compelling high-speed interconnect networks in the world. >>They're connected to all of the, the, the significant cloud providers in most of the locations around the world. We have a, a relationship with them where we find we have customers in common who really love the idea of compute from the cloud. Compute from the cloud is great because compute is something that you are doing for a set period of time and then it's over you. Like you have a task, you do some compute, it's done. Cloud is beautiful for that. Storage on the other hand is very long lived storage doesn't tend to operate in that same sort of way. It sort of just becomes a bigger and bigger blob over time. And so the cost model around public cloud and storage is not as compelling as it is for compute. And so our, with our relationship with Equinix, we help our customers to be able to create, let's call it a, a data anchor point where they put our arrays into, into an Equinix location, and then they utilize Equinix as high speeding interconnects to the, to the cloud providers, okay. To take the compute from them. So they take the compute from the cloud providers and they own their own storage, and in this way they feel like we've now got the best of all worlds. Right. What I hope that illustrates Lisa is with those three examples is we are always looking for ways to find our key advantages with any given, you know, alliance partners advantages, >>Right? What are, when you're in customer conversations, and our final few minutes here, I wanna get, what are some of the key differentiators that you talk about when you're in customer conversations, and then how does the partner ecosystem fit into Hitachi vans as a service business? We'll start with differentiators and then let's move into the as service business so we can round out with that. >>Okay. Let's start with the differentiators. Yeah. Firstly and I, and hopefully I've kind of, I've hit this point hard, hard enough. We do believe that we have the fastest and most reliable storage infrastructure on the planet. This is kind of what we are known for, and customers that are working with us already sort of have an appreciation for that. And so they're looking for, okay, you've got that now, how can you make my hybrid cloud aspirations better? So we do have that as a fundamental, right? So, but secondly I'd say, I think it's also because we go beyond just storage management and, and into the areas of data management. You know, we've got, we've got solutions that are not just about storing the bits. We do think that we do that very well, but we also have solutions that move into the areas of enrichment, of the data, cataloging of the data, classification of the data, and most importantly, analytics. >>So, you know, we, we think it's, some of our competitors just stop at storing stuff and some of our competitors are in the analytics space, but we feel that we can bridge that. And we think that that's a, that's a competitive advantage for us. One of the other areas that I think is key for us as well is, as I said, we're one of the few vendors who've been in the marketplace for 60 years and we think this, this, this gives us a more nuanced perspective about things. There are many things in the industry, trends that have happened over time where we feel we've seen this kind of thing before and I think we will see it again. But you only really get that perspective if you are, if you are long lived in the industry. And so we believe that our conversations with our customers bear a little bit more sophistication. It's not just, it's not just about what's the latest and greatest trends. >>Right. We've got about one minute left. Can you, can you round us out with how the partner ecosystem is playing a role in the as service business? >>They're absolutely pivotal in that, you know, we, we ourselves don't own data centers, right? So we don't provide our own cloud services out. So we are 100% partner focused when it comes to that aspect. Our formula is to help partners build their cloud services with our solutions and then onsell them to their customers as as as a service. You know, and by what quick way of example, VMware for example, they've got nearly 5,000 partners selling VMware cloud services. 5,000 blows me away. And many of them are our partners too. So we kind of see this as a virtuous cycle. We've got product, we've got an an alliance with VMware and we work together with partners in common for the delivery of an as a service business. >>Got it. So the, as you said, the partner ecosystem is absolutely pivotal. Russell, it's been a pleasure having you on the program talking about all things hybrid cloud challenges, how Hitachi van is working with its partner ecosystems to really help customers across industries solve those big problems. We really appreciate your insights and your time. >>Thank you very much, Lisa. It's been great. >>Yeah, yeah. For Russell Stingley, I'm Lisa Martin. In a moment we're gonna continue our conversation with Tom Christensen. Stay tuned. >>Sulfur Royal has always embraced digital technology. We were amongst the first hospitals in the UK to install a full electronic patient record system. Unfortunately, as a result of being a pioneer, we often find that there's gaps in the digital solutions. My involvement has been from the very start of this program, a group of us got together to discuss what the problems actually were in the hospital and how we could solve this. >>The digital control center is an innovation that's been designed in partnership between ourselves, anti touch, and it's designed to bring all of the information that is really critical for delivering effective and high quality patient care. Together the DCC is designed not only to improve the lives of patients, but also of our staff giving us information that our demand is going to increase in the number of patients needing support. The technology that we're building can be replicated across sulfur, the NCA, and the wider nhs, including social care and community services. Because it brings all of that information that is essential for delivering high quality efficient care. >>The DCC will save time for both staff and more importantly our patients. It will leave clinicians to care for patients rather than administrate systems and it will allow the system that I work with within the patient flow team to effectively and safely place patients in clinically appropriate environments. >>But we chose to partner with Hitachi to deliver the DCC here at Sulfur. They were willing to work with us to co-produce and design a product that really would work within the environment that we find ourselves in a hospital, in a community setting, in a social care setting. >>My hopes for the DCC is that ultimately we will provide more efficient and reliable care for our patients. >>I do believe the digital control center will improve the lives of staff and also the patients so that we can then start to deliver the real change that's needed for patient care. >>Okay, we're back with Tom Christensen, who's the global technology advisor and executive analyst at Hitachi Van Tara. And we're exploring how Hitachi Van Tower drives customer success specifically with partners. You know Tom, it's funny, back in the early part of the last decade, there was this big push around, remember it was called green it and then the oh 7 0 8 financial crisis sort of put that on the back burner. But sustainability is back and it seems to be emerging as a mega trend in in it is, are you seeing this, is it same wine new label? How real is this trend and where's the pressure coming from? >>Well, we clearly see that sustainability is a mega trend in the IT sector. And when we talk to CIOs or senior IT leaders or simply just invite them in for a round table on this topic, they all tell us that they get the pressure from three different angles. The first one is really end consumers and end consumers. Nowaday are beginning to ask questions about the green profile and what are the company doing for the environment. And this one here is both private and public companies as well. The second pressure that we see is coming from the government. The government thinks that companies are not moving fast enough so they want to put laws in that are forcing companies to move faster. And we see that in Germany as an example, where they are giving a law into enterprise companies to following human rights and sustainability tree levels back in the supply chain. >>But we also see that in EU they are talking about a new law that they want to put into action and that one will replicate to 27 countries in Europe. But this one is not only Europe, it's the rest of the world where governments are talking about forcing companies to move faster than we have done in the past. So we see two types of pressure coming in and at the same time, this one here starts off at the CEO at a company because they want to have the competitive edge and be able to be relevant in the market. And for that reason they're beginning to put KPIs on themself as the ceo, but they're also hiring sustainability officers with sustainability KPIs. And when that happens it replicates down in the organization and we can now see that some CIOs, they have a kpi, others are indirectly measured. >>So we see direct and indirect. The same with CFOs and other C levels. They all get measured on it. And for that reason it replicates down to IT people. And that's what they tell us on these round table. I get that pressure every day, every week, every quarter. But where is the pressure coming from? Well the pressure is coming from in consumers and new laws that are put into action that force companies to think differently and have focus on their green profile and doing something good for the environment. So those are the tree pressures that we see. But when we talk to CFOs as an example, we are beginning to see that they have a new store system where they put out request for proposal and this one is in about 58% of all request for proposal that we receive that they are asking for our sustainability take, what are you doing as a vendor? >>And in their score system cost has the highest priority and number two is sustainability. It waits about 15, 20 to 25% when they look at your proposal that you submit to a cfo. But in some cases the CFO say, I don't even know where the pressure is coming from. I'm asked to do it. Or they're asked to do it because end consumers laws and so on are forcing them to do it. But I would answer, yeah, sustainability has become a make trend this year and it's even growing faster and faster every month we move forward. >>Yeah, Tom, it feels like it's here to stay this time. And your point about public policy is right on, we saw the EU leading with privacy and GDPR and it looks like it's gonna lead again here. You know, just shifting gears, I've been to a number of Hitachi facilities in my day. OWA is my favorite because on a clear day you can see Mount Fuji, but other plants I've been to as well. What does Hitachi do in the production facility to reduce CO2 emissions? >>Yeah, I think you're hitting a good point here. So what we have, we have a, a facility in Japan and we have one in Europe and we have one in America as well to keep our production close to our customers and reduced transportation for the factory out to our customers. But you know, in the, in the, in the May region back in 2020 13, we created a new factory. And when we did that we were asked to do it in an energy, energy neutral way, which means that we are moving from being powered by black energy to green energy in that factory. And we build a factory with concrete walls that were extremely thick to make it cold in the summertime and hot in the winter time with minimum energy consumption. But we also put 17,000 square meters of solar panel on the roof to power that factory. >>We were collecting rain waters to flush it in the toilet. We were removing light bulbs with L E D and when we sent out our equipment to our customers, we put it in a, instead of sending out 25 packages to a customer, we want to reduce the waste as much as possible. And you know, this one was pretty new back in 2013. It was actually the biggest project in EA at that time. I will say if you want to build a factory today, that's the way you are going to do it. But it has a huge impact for us when electricity is going up and price and oil and gas prices are coming up. We are running with energy neutral in our facility, which is a big benefit for us going forward. But it is also a competitive advantage to be able to explain what we have been doing the last eight, nine years in that factory. We are actually walking to talk and we make that decision even though it was a really hard decision to do back in 2013, when you do decisions like this one here, the return of investment is not coming the first couple of years. It's something that comes far out in the future. But right now we are beginning to see the benefit of the decision we made back in 2013. >>I wanna come back to the economics, but before I do, I wanna pick up on something you just said because you know, you hear the slogan sustainability by design. A lot of people might think okay, that's just a marketing slogan, slogan to vector in into this mega trend, but it sounds like it's something that you've been working on for quite some time. Based on your last comments, can you add some color to that? >>Yeah, so you know, the factory is just one example of what you need to do to reduce the CO2 emission and that part of the life of a a product. The other one is really innovating new technology to drive down the CO2 emission. And here we are laser focused on what we call decarbonization by design. And this one is something that we have done the last eight years, so this is far from you for us. So between each generation of products that we have put out over the last eight years, we've been able to reduce the CO2 emission by up to 30 to 60% between each generation of products that we have put into the market. So we are laser focused on driving that one down, but we are far from done, we still got eight years before we hit our first target net zero in 2030. So we got a roadmap where we want to achieve even more with new technology. At its core, it is a technology innovator and our answers to reduce the CO2 emission and the decarbonization of a data center is going to be through innovating new technology because it has the speed, the scale, and the impact to make it possible to reach your sustainability objectives going forward. >>How about recycling? You know, where does that fit? I mean, the other day it was, you know, a lot of times at a hotel, you know, you used to get bottled water, now you get, you know, plant based, you know, waters in a box and, and so we are seeing it all around us. But for a manufacturer of your size, recycling and circular economy, how does that fit into your plans? >>Yeah, let me try to explain what we are doing here. Cause one thing is how you produce it. Another thing is how you innovate all that new technology, but you also need to combine that with service and software, otherwise you won't get the full benefit. So what we are doing here, when it comes to exploring circular economics, it's kind of where we have an eternity mindset. We want to see if it is possible to get nothing out to the landfill. This is the aim that we are looking at. So when you buy a product today, you get an option to keep it in your data center for up to 10 years. But what we wanna do when you keep it for 10 years is to upgrade only parts of the system. So let's say that you need more CBU power, use your switch the controller to next generation controller and you get more CPU power in your storage system to keep it those 10 years. >>But you can also expand with new this media flash media, even media that doesn't exist today will be supported over those 10 years. You can change your protocol in the, in the front end of your system to have new protocols and connect to your server environment with the latest and greatest technology. See, the benefit here is that you don't have to put your system into a truck and a recycle process after three years, four years, five years, you can actually postpone that one for 10 years. And this one is reducing the emission again. But once we take it back, you put it on the truck and we take it into our recycling facility. And here we take our own equipment like compute network and switches, but we also take competitor equipment in and we recycle as much as we can. In many cases, it's only 1% that goes to the landfill or 2% that goes to the landfill. >>The remaining material will go into new products either in our cycle or in other parts of the electronic industry. So it will be reused for other products. So when we look at what we've been doing for many years, that has been linear economics where you buy material, you make your product, you put it into production, and it goes into land feed afterwards. The recycling economics, it's really, you buy material, you make your product, you put it into production, and you recycle as much as possible. The remaining part will go into the landfill. But where we are right now is exploring circle economics where you actually buy material, make it, put it into production, and you reuse as much as you can. And only one 2% is going into the landfill right now. So we have come along and we honestly believe that the circular economics is the new economics going forward for many industries in the world. >>Yeah. And that addresses some of the things that we were talking about earlier about sustainability by design, you have to design that so that you can take advantage of that circular economy. I, I do wanna come back to the economics because, you know, in the early days of so-called green, it, there was a lot of talk about, well, I, I, I'll never be able to lower the power bill. And the facilities people don't talk to the IT people. And that's changed. So explain why sustainability is good business, not just an expense item, but can really drive bottom line profitability. I, I understand it's gonna take some time, but, but help us understand your experience there, Tom. >>Yeah, let me try to explain that one. You know, you often get the question about sustainability. Isn't that a cost? I mean, how much does it cost to get that green profile? But you know, in reality when you do a deep dive into the data center, you realize that sustainability is a cost saving activity. And this one is quite interesting. And we have now done more than 1,200 data center assessment around the world where we have looked at data centers. And let me give you just an average number from a global bank that we work with. And this one is, it is not different from all the other cases that we are doing. So when we look at the storage area, what we can do on the electricity by moving an old legacy data center into a new modernized infrastructure is to reduce the electricity by 96%. >>This is a very high number and a lot of money that you save, but the CO2 mission is reduced by 96% as well. The floor space can go up to 35% reduction as well. When we move down to the compute part, we are talking about 61% reduction in electricity on the compute part just by moving from legacy to new modern infrastructure and 61% on the CO2 emission as well. And see this one here is quite interesting because you save electricity and you and you do something really good for the environment. At the same time, in this case I'm talking about here, the customer was paying 2.5 million US dollar annually and by just modernizing that infrastructure, we could bring it down to 1.1 million. This is 1.4 million savings straight into your pocket and you can start the next activity here looking at moving from virtual machine to containers. Containers only use 10% of the CPU resources compared to a virtual machine. Move up to the application layer. If you have that kind of capability in your organization, modernizing your application with sustainability by design and you can reduce the C, the CO2 emission by up to 50%. There's so much we can do in that data center, but we often start at the infrastructure first and then we move up in the chain and we give customers benefit in all these different layers. >>Yeah, A big theme of this program today is what you guys are doing with partners do, are partners aware of this in your view? Are they in tune with it? Are they demanding it? What message would you like to give the channel partners, resellers and, and distributors who may be watching? >>So the way to look at it is that we offer a platform with product, service and software and that platform can elevate the conversation much higher up in the organization. And partners get the opportunity here to go up and talk to sustainability officers about what we are doing. They can even take it up to the CEO and talk about how can you reach your sustainability KPI in the data center. What we've seen this round table when we have sustainability officers in the room is that they're very focused on the green profile and what is going out of the company. They rarely have a deep understanding of what is going on at the data center. Why? Because it's really technical and they don't have that background. So just by elevating the conversation to these sustainability officers, you can tell them what they should measure and how they should measure that. And you can be sure that that will replicate down to the CIO and the CFO and that immediately your request for proposal going forward. So this one here is really a golden opportunity to take that story, go out and talk to different people in the organization to be relevant and have an impact and make it more easy for you to win that proposal when it gets out. >>Well really solid story on a super important topic. Thanks Tom. Really appreciate your time and taking us through your perspectives. >>Thank you Dave, for the invitation. >>Yeah, you bet. Okay, in a moment we'll be back. To summarize our final thoughts, keep it right there. >>Click by click. The world is changing. We make sense of our world by making sense of data. You can draw more meaning from more data than was ever possible before, so that every thought and every action can build your path to intelligent innovation to change the way the world works. Hitachi Van Tara. >>Okay, thanks for watching the program. We hope you gained a better understanding of how Hitachi Ventura drives customer success with its partners. If you wanna learn more about how you can partner for profit, check out the partner togetherPage@hitachiventera.com and there's a link on the webpage here that will take you right to that page. Okay, that's a wrap for Lisa Martin. This is Dave Valante with the Cube. You a leader in enterprise and emerging tech coverage.

Published Date : Dec 5 2022

SUMMARY :

Ecosystems have evolved quite dramatically over the last decade with the explosion of data and the popularity And they'll set the table for us with an overview of how Hitachi is working the incredible identify with the analytical and are synonymous with Kim, it's great to have you on the program. What are some of the biggest challenges and pain points that you're hearing from Really the complexity of where do they go, a role in helping customers to address some of the challenges with respect to the the right decisions with and for them. Talk to me a little bit about the partner landscape, the partner ecosystem at Hitachi Ventura. and really extension across the board, I would say our goal is to marry the right customer with So Kim, talk to me about how partners fit into Hitachi van's overall And we see that paying dividends with our partners as they engage with us and the successful outcome that's needed without, you know, sort of all kinds of, And so we really have, like I said, we actually provide our partners with better I say that we allow them to scale and drive Say that again? So if we look at the overall sales cycle, where is it specifically where So from the sales cycle, I think because we have the, a solution that the trusted engagement with them from a pricing and packaging perspective. Let's kind of step back out and look at the cloud infrastructure. So we have a couple of different teams. So we spend a lot of time upfront planning with them what is not only So our primary go to market with our, as a service business is with and through partners. Kim, are the priorities for the partner ecosystem going forward? And then going back on our core tenants, which are, you know, really a trusted, From a channel business perspective, what are some of the priorities coming down the pi? into our new program and our go to markets as we roll out every year. for joining me today talking about what Hitachi Vanta is doing with its partner ecosystem, Russell Skillings Lee, the CTO and global VP of technical sales at Hitachi Van So here we are, the end of calendar year 2022. And closely related to that is the whole area of ESG and decarbonization And I think everyone's contributing to that, And that, and what I mean by that is our traditional businesses, you know, monetize it, and create real value new opportunities for the business at record speed. especially in the early days, leverage the cloud to be able to build out their capabilities. How are partners helping Hitachi Ventura and its customers to even for customers that might consider themselves to be all in on public cloud, And you know, we've seen a lot of this type of change ourselves, this change of attitude not the most reliable, you know, of course they matter. So for example, the work we do with VMware, which we consider to be one We combine that with what VMware's doing, and then when you look at our converged And the way I think they like to think of themselves, and I too tend to agree with them, And so the cost I wanna get, what are some of the key differentiators that you talk about when you're in customer conversations, We do believe that we have the fastest and most reliable storage And so we believe that our conversations with our customers bear a little bit more sophistication. is playing a role in the as service business? So we are 100% partner focused when it comes to that aspect. So the, as you said, the partner ecosystem is absolutely pivotal. conversation with Tom Christensen. in the UK to install a full electronic patient record system. DCC is designed not only to improve the lives of patients, but also of our staff and it will allow the system that I work with within the patient flow team to effectively But we chose to partner with Hitachi to deliver the DCC here at Sulfur. My hopes for the DCC is that ultimately we will provide more efficient and so that we can then start to deliver the real change that's needed for oh 7 0 8 financial crisis sort of put that on the back burner. The second pressure that we see is coming from the government. replicates down in the organization and we can now see that some CIOs, And for that reason it replicates down to IT people. But in some cases the CFO say, I don't even know where the pressure is coming from. we saw the EU leading with privacy and GDPR and it looks like it's gonna lead again And we build a factory with concrete that's the way you are going to do it. I wanna come back to the economics, but before I do, I wanna pick up on something you just said because you know, And this one is something that we have done the last eight years, so this is far from you for I mean, the other day it was, you know, the controller to next generation controller and you get more CPU power in the landfill or 2% that goes to the landfill. And only one 2% is going into the landfill right now. And the facilities people don't talk to the IT people. And we have now done more than 1,200 data center assessment around the in electricity on the compute part just by moving from legacy to new modern infrastructure So the way to look at it is that we offer a platform with product, Really appreciate your time and taking us through your perspectives. Yeah, you bet. so that every thought and every action can build your path and there's a link on the webpage here that will take you right to that page.

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Lena Smart, MongoDB | AWS re:Invent 2022


 

(bright music) >> Hello everyone and welcome back to AWS re:Invent, here in wonderful Las Vegas, Nevada. We're theCUBE. I am Savannah Peterson. Joined with my co-host, Dave Vellante. Day four, you look great. Your voice has come back somehow. >> Yeah, a little bit. I don't know how. I took last night off. You guys, I know, were out partying all night, but - >> I don't know what you're talking about. (Dave laughing) >> Well, you were celebrating John's birthday. John Furrier's birthday today. >> Yes, happy birthday John! >> He's on his way to England. >> Yeah. >> To attend his nephew's wedding. Awesome family. And so good luck, John. I hope you feel better, he's got a little cold. >> I know, good luck to the newlyweds. I love this. I know we're both really excited for our next guest, so I'm going to bring out, Lena Smart from MongoDB. Thank you so much for being here. >> Thank you for having me. >> How's the show going for you? >> Good. It's been a long week. And I just, not much voice left, so. >> We'll be gentle on you. >> I'll give you what's left of it. >> All right, we'll take that. >> Okay. >> You had a fireside chat, at the show? >> Lena: I did. >> Can you tell us a little bit about that? >> So we were talking about the Rise, The developer is a platform. In this massive theater. I thought it would be like an intimate, you know, fireside chat. I keep believing them when they say to me come and do these talks, it'll be intimate. And you turn up and there's a stage and a theater and it's like, oh my god. But it was really interesting. It was well attended. Got some really good questions at the end as well. Lots of follow up, which was interesting. And it was really just about, you know, how we've brought together this developer platform that's got our integrated services. It's just what developers want, it gives them time to innovate and disrupt, rather than worry about the minutia of management. >> Savannah: Do the cool stuff. >> Exactly. >> Yeah, so you know Lena, it's funny that you're saying that oh wow, the lights came on and it was this big thing. When when we were at re:Inforced, Lena was on stage and it was so funny, Lena, you were self deprecating like making jokes about the audience. >> Savannah: (indistinct) >> It was hilarious. And so, but it was really endearing to the audience and so we were like - >> Lena: It was terrifying. >> You got huge props for that, I'll tell you. >> Absolutely terrifying. Because they told me I wouldn't see anyone. Because we did the rehearsal the day before, and they were like, it's just going to be like - >> Sometimes it just looks like blackness out there. >> Yeah, yeah. It wasn't, they lied. I could see eyeballs. It was terrifying. >> Would you rather know that going in though? Or is it better to be, is ignorance bliss in that moment? >> Ignorance is bliss. >> Yeah, yeah yeah. >> Good call Savannah, right? Yeah, just go. >> The older I get, the more I'm just, I'm on the ignorance is bliss train. I just, I don't need to know anything that's going to hurt my soul. >> Exactly. >> One of the things that you mentioned, and this has actually been a really frequent theme here on the show this week, is you said that this has been a transformative year for developers. >> Lena: Yeah. >> What did you mean by that? >> So I think developers are starting to come to the fore, if you like, the fore. And I'm not in any way being deprecating about developers 'cause I love them. >> Savannah: I think everyone here does. >> I was married to one, I live with one now. It's like, they follow me everywhere. They don't. But, I think they, this is my opinion obviously but I think that we're seeing more and more the value that developers bring to the table. They're not just code geeks anymore. They're not just code monkeys, you know, churning out lines and lines of code. Some of the most interesting discussions I've had this week have been with developers. And that's why I'm so pleased that our developer data platform is going to give these folks back time, so that they can go and innovate. And do super interesting things and do the next big thing. It was interesting, I was talking to Mary, our comms person earlier and she had said that Dave I guess, my boss, was on your show - >> Dave: Yeah, he was over here last night. >> Yeah. And he was saying that two thirds of the companies that had been mentioned so far, within the whole gamut of this conference use MongoDB. And so take that, extrapolate that, of all the developers >> Wow. >> who are there. I know, isn't that awesome? >> That's awesome. Congrats on that, that's like - >> Did I hear that right now? >> I know, I just had that moment. >> I know she just told me, I'm like, really? That's - >> That's so cool. >> 'Cause the first thing I thought of was then, oh my god, how many developers are we reaching then? 'Cause they're the ones. I mean, it's kind of interesting. So my job has kind of grown from, over the years, being the security geek in the back room that nobody talks to, to avoiding me in the lift, to I've got a seat at the table now. We meet with the board. And I think that I can see that that's where the developer mindset is moving towards. It's like, give us the right tools and we'll change your world. >> And let the human capital go back to doing the fun stuff and not just the maintenance stuff. >> And, but then you say that, you can't have everything automated. I get that automation is also the buzzword of the week. And I get that, trust me. Someone has to write the code to do the automation. >> Savannah: Right. >> So, so yeah, definitely give these people back time, so that they can work on ML, AI, choose your buzzword. You know, by giving people things like queriable encryption for example, you're going to free up a whole bunch of head space. They don't have to worry about their data being, you know harvested from memory or harvested while at rest or in motion. And it's like, okay, I don't have to worry about that now, let me go do something fun. >> How about the role of the developer as it relates to SecOps, right? They're being asked to do a lot. You and I talked about this at re:Inforce. You seem to have a pretty good handle on it. Like a lot of companies I think are struggling with it. I mean, the other thing you said said to me is you don't have a lack of talent at Mongo, right? 'Cause you're Mongo. But a lot of companies do. But a lot of the developers, you know we were just talking about this earlier with Capgemini, the developer metrics or the application development team's metrics might not be aligned with the CSO's metrics. How, what are you seeing there? What, how do you deal with it within Mongo? What do you advise your customers? >> So in terms of internal, I work very closely with our development group. So I work with Tara Hernandez, who's our new VP of developer productivity. And she and her team are very much interested in making developers more productive. That's her job. And so we get together because sometimes security can definitely be seen as a blocker. You know, funnily enough, I actually had a Slack that I had to respond to three seconds before I come on here. And it was like, help, we need some help getting this application through procurement, because blah, blah, blah. And it's weird the kind of change, the shift in mindset. Whereas before they might have gone to procurement or HR or someone to ask for this. Now they're coming to the CSO. 'Cause they know if I say yes, it'll go through. >> Talk about social engineering. >> Exactly. >> You were talking about - >> But turn it around though. If I say no, you know, I don't like to say no. I prefer to be the CSO that says yes, but. And so that's what we've done. We've definitely got that culture of ask, we'll tell you the risks, and then you can go away and be innovative and do what you need to do. And we basically do the same with our customers. Here's what you can do. Our application is secure out of the box. Here's how we can help you make it even more, you know, streamlined or bespoke to what you need. >> So mobile was a big inflection point, you know, I dunno, it seems like forever ago. >> 2007. >> 2007. Yeah, iPhone came out in 2007. >> You remember your first iPhone? >> Dave: Yeah. >> Yeah? Same. >> Yeah. It was pretty awesome, actually. >> Yeah, I do too. >> Yeah, I was on the train to Boston going up to see some friends at MIT on the consortium that I worked with. And I had, it was the wee one, 'member? But you thought it was massive. >> Oh, it felt - >> It felt big. And I remember I was sitting on the train to Boston it was like the Estella and there was these people, these two women sitting beside me. And they were all like glam, like you and unlike me. >> Dave: That's awesome. >> And they, you could see them like nudging each other. And I'm being like, I'm just sitting like this. >> You're chilling. >> Like please look at my phone, come on just look at it. Ask me about it. And eventually I'm like - >> You're baiting them. >> nonchalantly laid it on the table. And you know, I'm like, and they're like, is that an iPhone? And I'm like, yeah, you want to see it? >> I thought you'd never ask. >> I know. And I really played with it. And I showed them all the cool stuff, and they're like, oh we're going to buy iPhones. And so I should have probably worked for Apple, but I didn't. >> I was going to say, where was your referral kickback on that? Especially - >> It was a little like Tesla, right? When you first, we first saw Tesla, it was Ray Wong, you know, Ray? From Pasadena? >> It really was a moment and going from the Blackberry keyboard to that - >> He's like want to see my car? And I'm like oh yeah sure, what's the big deal? >> Yeah, then you see it and you're like, ooh. >> Yeah, that really was such a pivotal moment. >> Anyway, so we lost a track, 2007. >> Yeah, what were we talking about? 2007 mobile. >> Mobile. >> Key inflection point, is where you got us here. Thank you. >> I gotchu Dave, I gotchu. >> Bring us back here. My mind needs help right now. Day four. Okay, so - >> We're all getting here on day four, we're - >> I'm socially engineering you to end this, so I can go to bed and die quietly. That's what me and Mary are, we're counting down the minutes. >> Holy. >> That's so sick. >> You're breaking my heart right now. I love it. I'm with you, sis, I'm with you. >> So I dunno where I was, really where I was going with this, but, okay, there's - >> 2007. Three things happened. >> Another inflection point. Okay yeah, tell us what happened. But no, tell us that, but then - >> AWS, clones, 2006. >> Well 2006, 2007. Right, okay. >> 2007, the iPhone, the world blew up. So you've already got this platform ready to take all this data. >> Dave: Right. >> You've got this little slab of gorgeousness called the iPhone, ready to give you all that data. And then MongoDB pops up, it's like, woo-hoo. But what we could offer was, I mean back then was awesome, but it was, we knew that we would have to iterate and grow and grow and grow. So that was kind of the three things that came together in 2007. >> Yeah, and then Cloud came in big time, and now you've got this platform. So what's the next inflection point do you think? >> Oh... >> Good question, Dave. >> Don't even ask me that. >> I mean, is it Edge? Is it IOT? Is there another disruptor out there? >> I think it's going to be artificial intelligence. >> Dave: Is it AI? >> I mean I don't know enough about it to talk about it, to any level, so don't ask me any questions about it. >> This is like one of those ignorance is bliss moments. It feels right. >> Yeah. >> Well, does it scare you, from a security perspective? Or? >> Great question, Dave. >> Yeah, it scares me more from a humanity standpoint. Like - >> More than social scared you? 'Cause social was so benign when it started. >> Oh it was - >> You're like, oh - I remember, >> It was like a yearbook. I was on the Estella and we were - >> Shout out to Amtrak there. >> I was with, we were starting basically a wikibond, it was an open source. >> Yeah, yeah. >> Kind of, you know, technology community. And we saw these and we were like enamored of Facebook. And there were these two young kids on the train, and we were at 'em, we were picking the brain. Do you like Facebook? "I love Facebook." They're like "oh, Facebook's unbelievable." Now, kids today, "I hate Facebook," right? So, but social at the beginning it was kind of, like I say, benign and now everybody's like - >> Savannah: We didn't know what we were getting into. >> Right. >> I know. >> Exactly. >> Can you imagine if you could have seen into the future 20 years ago? Well first of all, we'd have all bought Facebook and Apple stock. >> Savannah: Right. >> And Tesla stock. But apart from, but yeah apart from that. >> Okay, so what about Quantum? Does that scare you at all? >> I think the only thing that scares me about Quantum is we have all this security in place today. And I'm not an expert in Quantum, but we have all this security in place that's securing what we have today. And my worry is, in 10 years, is it still going to be secure? 'Cause we're still going to be using that data in some way, shape, or form. And my question is to the quantum geniuses out there, what do we do in 10 years like to retrofit the stuff? >> Dave: Like a Y2K moment? >> Kind of. Although I think Y2K is coming in 2038, isn't it? When the Linux date flips. I'll be off the grid by then, I'll be living in Scotland. >> Somebody else's problem. >> Somebody else's problem. I'll be with the sheep in Glasgow, in Scotland. >> Y2K was a boondoggle for tech, right? >> What a farce. I mean, that whole - >> I worked in the power industry in Y2K. That was a nightmare. >> Dave: Oh I bet. >> Savannah: Oh my God. >> Yeah, 'cause we just assumed that the world was going to stop and there been no power, and we had nuclear power plants. And it's like holy moly. Yeah. >> More than moly. >> I was going to say, you did a good job holding that other word in. >> I think I was going to, in case my mom hears this. >> I grew up near Diablo Canyon in, in California. So you were, I mean we were legitimately worried that that exactly was going to happen. And what about the waste? And yeah it was chaos. We've covered a lot. >> Well, what does worry you? Like, it is culture? Is it - >> Why are you trying to freak her out? >> No, no, because it's a CSO, trying to get inside the CSO's head. >> You don't think I have enough to worry about? You want to keep piling on? >> Well if it's not Quantum, you know? Maybe it's spiders or like - >> Oh but I like spiders, well spiders are okay. I don't like bridges, that's my biggest fear. Bridges. >> Seriously? >> And I had to drive over the Tappan Zee bridge, which is one of the longest, for 17 years, every day, twice. The last time I drove over it, I was crying my heart out, and happy as anything. >> Stay out of Oakland. >> I've never driven over it since. Stay out of where? >> Stay out of Oakland. >> I'm staying out of anywhere that's got lots of water. 'Cause it'll have bridges. >> Savannah: Well it's good we're here in the desert. >> Exactly. So what scares me? Bridges, there you go. >> Yeah, right. What? >> Well wait a minute. So if I'm bridging technology, is that the scary stuff? >> Oh God, that was not - >> Was it really bad? >> It was really bad. >> Wow. Wow, the puns. >> There's a lot of seems in those bridges. >> It is lit on theCUBE A floor, we are all struggling. I'm curious because I've seen, your team is all over the place here on the show, of course. Your booth has been packed the whole time. >> Lena: Yes. >> The fingerprint. Talk to me about your shirt. >> So, this was designed by my team in house. It is the most wanted swag in the company, because only my security people wear it. So, we make it like, yeah, you could maybe have one, if this turns out well. >> I feel like we're on the right track. >> Dave: If it turns out well. >> Yeah, I just love it. It's so, it's just brilliant. I mean, it's the leaf, it's a fingerprint. It's just brilliant. >> That's why I wanted to call it out. You know, you see a lot of shirts, a lot of swag shirts. Some are really unfortunately sad, or not funny, >> They are. >> or they're just trying too hard. Now there's like, with this one, I thought oh I bet that's clever. >> Lena: It is very cool. Yes, I love it. >> I saw a good one yesterday. >> Yeah? >> We fix shit, 'member? >> Oh yeah, yeah. >> That was pretty good. >> I like when they're >> That's a pretty good one. >> just straightforward, like that, yeah yeah. >> But the only thing with this is when you're say in front of a green screen, you look as though you've got no tummy. >> A portal through your body. >> And so, when we did our first - >> That's a really good point, actually. >> Yeah, it's like the black hole to nothingless. And I'm like wow, that's my soul. >> I was just going to say, I don't want to see my soul like that. I don't want to know. >> But we had to do like, it was just when the pandemic first started, so we had to do our big presentation live announcement from home. And so they shipped us all this camera equipment for home and thank God my partner knows how that works, so he set it all up. And then he had me test with a green screen, and he's like, you have no tummy. I'm like, what the hell are you talking about? He's like, come and see. It's like this, I dunno what it was. So I had to actually go upstairs and felt tip with a magic marker and make it black. >> Wow. >> So that was why I did for two hours on a Friday, yeah. >> Couldn't think of another alternative, huh? >> Well no, 'cause I'm myopic when it comes to marketing and I knew I had to keep the tshirt on, and I just did that. >> Yeah. >> In hindsight, yes I could have worn an "I Fix Shit" tshirt, but I don't think my husband would've been very happy. I secure shit? >> There you go, yeah. >> There you go. >> Over to you, Savannah. >> I was going to say, I got acquainted, I don't know if I can say this, but I'm going to say it 'cause we're here right now. I got acquainted with theCUBE, wearing a shirt that said "Unfuck Kubernetes," 'cause it was a marketing campaign that I was running for one of my clients at Kim Con last year. >> That's so good. >> Yeah, so - >> Oh my God. I'll give you one of these if you get me one of those. >> I can, we can do a swapskee. We can absolutely. >> We need a few edits on this film, on the file. >> Lena: Okay, this is nothing - >> We're fallin' off the wheel. Okay, on that note, I'm going to bring us to our challenge that we discussed, before we got started on this really diverse discussion that we have had in the last 15 minutes. We've covered everything from felt tip markers to nuclear power plants. >> To the darkness of my soul. >> To the darkness of all of our souls. >> All of our souls, yes. >> Which is perhaps a little too accurate, especially at this stage in the conference. You've obviously seen a lot Lena, and you've been rockin' it, I know John was in your suite up here, at at at the Venetian. What's your 30 second hot take? Most important story, coming out of the show or for you all at Mongo this year? >> Genuinely, it was when I learned that two-thirds of the customers that had been mentioned, here, are MongoDB customers. And that just exploded in my head. 'Cause now I'm thinking of all the numbers and the metrics and how we can use that. And I just think it's amazing, so. >> Yeah, congratulations on that. That's awesome. >> Yeah, I thought it was amazing. >> And it makes sense actually, 'cause Mongo so easy to use. We were talking about Tengen. >> We knew you when, I feel that's our like, we - >> Yeah, but it's true. And so, Mongo was just really easy to use. And people are like, ah, it doesn't scale. It's like, turns out it actually does scale. >> Lena: Turns out, it scales pretty well. >> Well Lena, without question, this is my favorite conversation of the show so far. >> Thank you. >> Thank you so much for joining us. >> Thank you very much for having me. >> Dave: Great to see you. >> It's always a pleasure. >> Dave: Thanks Lena. >> Thank you. >> And thank you all, tuning in live, for tolerating wherever we take these conversations. >> Dave: Whatever that was. >> I bet you weren't ready for this one, folks. We're at AWS re:Invent in Las Vegas, Nevada. With Dave Vellante, I'm Savannah Peterson. You're washing theCUBE, the leader for high tech coverage.

Published Date : Dec 1 2022

SUMMARY :

I am Savannah Peterson. I don't know how. I don't know Well, you were I hope you feel better, I know, good luck to the newlyweds. And I just, not much voice left, so. And it was really just about, you know, Yeah, so you know Lena, it's funny And so, but it was really endearing for that, I'll tell you. I wouldn't see anyone. Sometimes it just looks I could see eyeballs. Yeah, just go. I just, I don't need to know anything One of the things that you mentioned, to the fore, if you like, the fore. I was married to one, Dave: Yeah, he was And he was saying that two I know, isn't that Congrats on that, that's like - And I think that I can And let the human capital go back And I get that, trust me. being, you know harvested from memory But a lot of the developers, you know And it was like, help, we need some help I don't like to say no. I dunno, it seems like forever ago. Yeah? actually. And I had, it was the wee one, 'member? And I remember I was sitting And they, you could see And eventually I'm like - And I'm like, yeah, you want to see it? And I really played with it. Yeah, then you see Yeah, that really was Yeah, what were we talking about? is where you got us here. I gotchu Dave, Okay, so - you to end this, so I can I love it. Three things happened. But no, tell us that, but then - Well 2006, 2007. 2007, the iPhone, the world blew up. I mean back then was awesome, point do you think? I think it's going to I mean I don't know enough about it This is like one of Yeah, it scares me more 'Cause social was so I was on the Estella and we were - I was with, we were starting basically And we saw these and we were what we were getting into. Can you imagine if you could And Tesla stock. And my question is to the Although I think Y2K is I'll be with the sheep in Glasgow, I mean, that whole - I worked in the power industry in Y2K. assumed that the world I was going to say, you I think I was going to, that that exactly was going to happen. No, no, because it's a CSO, I don't like bridges, And I had to drive over Stay out of where? I'm staying out of anywhere Savannah: Well it's good Bridges, there you go. Yeah, right. the scary stuff? Wow, the puns. There's a lot of seems is all over the place here Talk to me about your shirt. So, we make it like, yeah, you could I mean, it's the leaf, it's a fingerprint. You know, you see a lot of I thought oh I bet that's clever. Lena: It is very cool. That's a pretty like that, yeah yeah. But the only thing with this is That's a really good point, the black hole to nothingless. I was just going to say, I don't and he's like, you have no tummy. So that was why I did for and I knew I had to keep the I secure shit? I was going to say, I got acquainted, I'll give you one of these I can, we can do a swapskee. on this film, on the file. Okay, on that note, I'm going to bring us I know John was in your suite And I just think it's amazing, so. Yeah, congratulations on that. it was amazing. And it makes sense actually, And so, Mongo was just really easy to use. of the show so far. And thank you all, tuning in live, I bet you weren't

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Charu Kapur, NTT Data & Rachel Mushahwar, AWS & Jumi Barnes, Goldman Sachs | AWS re:Invent 2022


 

>>Hey everyone. Hello from Las Vegas. Lisa Martin here with you, and I'm on the show floor at Reinvent. But we have a very special program series that the Cube has been doing called Women of the Cloud. It's brought to you by aws and I'm so pleased to have an excellent panel of women leaders in technology and in cloud to talk about their tactical recommendations for you, what they see as found, where they've helped organizations be successful with cloud. Please welcome my three guests, Tara Kapor, president and Chief Revenue Officer, consulting and Digital Transformations, NTT Data. We have Rachel Mu, aws, head of North America, partner sales from aws, and Jimmy Barnes joins us as well, managing director, investment banking engineering at Goldman Sachs. It is so great to have you guys on this power panel. I love it. Thank you for joining me. >>Thank >>You. Let's start with you. Give us a little bit of, of your background at NTT Data and I, and I understand NTT has a big focus on women in technology and in stem. Talk to us a little bit about that and then we'll go around the table. >>Perfect, thank you. Thank you. So brand new role for me at Entity Data. I started three months back and it's a fascinating company. We are about 22 billion in size. We work across industries on multiple innovative use cases. So we are doing a ton of work on edge analytics in the cloud, and that's where we are here with aws. We are also doing a ton of work on the private 5G that we are rolling out and essentially building out industry-wide use cases across financial services, manufacturing, tech, et cetera. Lots of women identity. We essentially have women run cloud program today. We have a gal called Nore Hanson who is our practice leader for cloud. We have Matine who's Latifa, who's our AWS cloud leader. We have Molly Ward who leads up a solutions on the cloud. We have an amazing lady in Mona who leads up our marketing programs. So a fantastic plethora of diverse women driving amazing work identity on cloud. >>That's outstanding to hear because it's one of those things that you can't be what you can't see. Right. We all talk about that. Rachel, talk a little bit about your role and some of the focus that AWS has. I know they're big customer obsession, I'm sure obsessed with other things as well. >>Sure. So Rachel Muir, pleased to be here again. I think this will be my third time. So a big fan of the Cube. I'm fortunate enough to lead our North America partner and channel business, and I'll tell you, I've been at AWS for a little under two years, and honestly, it's been probably the best two years of my career. Just in terms of where the cloud is, where it's headed, the business outcomes that we can deliver with our customers and with our partners is absolutely remarkable. We get to, you know, make the impossible possible every day. So I'm, I'm thrilled to be here and I'm thrilled to, to be part of this inaugural Women of the Cloud panel. >>Oh, I'm prepared to have all three of you. One of the things that feedback, kind of pivoting off what, Rachel, one of the things that you said that one of our guests, some of several of our guests have said is that coming out of Adams keynote this morning, it just seems limitless what AWS can do and I love that it gives me kind of chills what they can do with cloud computing and technology, with its ecosystem of partners with its customers like Goldman Sachs. Jimmy, talk to us a little bit about you, your role at Goldman Sachs. You know, we think of Goldman Sachs is a, is a huge financial institution, but it's also a technology company. >>Yeah. I mean, since the age of 15 I've been super passionate about how we can use technology to transform business and simplify modernized business processes. And it's, I'm so thrilled that I have the opportunity to do that at Goldman Sachs as an engineer. I recently moved about two years ago into the investment banking business and it's, you know, it's best in class, one of the top companies in terms of mergers and acquisitions, IPOs, et cetera. But what surprised me is how technology enables all the businesses across the board. Right? And I get to be leading the digital platform for building out the digital platform for in the investment banking business where we're modernizing and transforming existing businesses. These are not new businesses. It's like sometimes I liken it to trying to change the train while it's moving, right? These are existing businesses, but now we get to modernize and transform on the cloud. Right. Not just efficiency for the business by efficiency for technologists as >>Well. Right, right. Sticking with you, Jimmy. I wanna understand, so you've been, you've been interested in tech since you were young. I only got into tech and accidentally as an adult. I'm curious about your career path, but talk to us about that. What are some of the recommendations that you would have for other women who might be looking at, I wanna be in technology, but I wanna work for some of the big companies and they don't think about the Goldman Sachs or some of the other companies like Walmart that are absolutely technology driven. What's your advice for those women who want to grow their career? >>I also, growing up, I was, I was interested in various things. I, I loved doing hair. I used to do my own hair and I used to do hair for other students at school and I was also interested in running an entertainment company. And I used actually go around performing and singing and dancing with a group of friends, especially at church. But what amazed me is when I landed my first job at a real estate agent and everything was being done manually on paper, I was like, wow, technology can bring transformation anywhere and everywhere. And so whilst I have a myriad of interest, there's so many ways that technology can be applied. There's so many different types of disciplines within technology. It's not, there's hands on, like I'm colder, I like to code, but they're product managers, there are business analysts, there are infrastructure specialist. They're a security specialist. And I think it's about pursuing your passion, right? Pursuing your passion and identifying which aspects of technology peak your interest. And then diving in. >>Love that. Diving in. Rachel, you're shaking your head. You definitely are in alignment with a lot of what >>Duties I am. So, you know, interesting enough, I actually started my career as a civil engineer and eventually made it into, into technology. So very similar. I saw in, you know, heavy highway construction how manual some of these processes were. And mind you, this was before the cloud. And I sat down and wrote a little computer program to automate a lot of these manual tasks. And for me it was about simplification of the customer journey and really figuring out how do you deliver value. You know, on fast forward, say 20 plus years, here I am with AWS who has got this amazing cloud platform with over 200 services. And when I think about what we do in tech, from business transformation to modernizing to helping customers think about how do they create new business models, I've really found, I've really found my sweet spot, and I'll say for anyone who wants to get into tech or even switch careers, there's just a couple words of advice that I have. And it's really two words, just start. >>Yes, >>That's it. Just start. Because sometimes later becomes never. And you know, fuel your passion, be curious, think about new things. Yes. And just >>Start, I love that. Just start, you should get t-shirts made with that. Tell me a little bit about some of your recommendations. Obviously just start is great when follow your passion. What would you say to those out there looking to plan the letter? >>So, you know, my, my story's a little bit like jus because I did not want to be in tech. You know, I wanted an easy life. I did well in school and I wanted to actually be an air hostess. And when I broke that to my father, you know, the standard Indian person, now he did, he, you know, he wanted me to go in and be an engineer. Okay? So I was actually push into computer engineering, graduated. But then really two things today, right? When I look back, really two pieces, two areas I believe, which are really important for success. One is, you know, we need to be competent. And the second is we need to be confident, right? Yes, yes. It's so much easier to be competent because a lot of us diverse women, diverse people tend to over rotate on knowing their technical skills, right? Knowing technical skills important, but you need to know how to potentially apply those to business, right? Be able to define a business roi. And I see Julie nodding because she wants people to come in and give her a business ROI for programs that you're executing at Goldman Sachs. I presume the more difficult part though is confidence. >>Absolutely. It's so hard, especially when, when we're younger, we don't know. Raise your hand because I guarantee you either half the people in the, in the room or on the zoom these days weren't listening or have the same question and are too afraid to ask because they don't have the confidence. That's right. Give me, let's pivot on confidence for a minute, Jim, and let's go back to how would you advise your younger self to find your confidence? >>That's, that's a tough one because I feel like even this older self is still finding exercise to, to be real. But I think it's about, I would say it's not praise. I think it's about praising yourself, like recognizing your accomplishments. When I think about my younger self, I think I, I like to focus more on what I didn't do or what I didn't accomplish, instead of majoring and focusing on all the accomplishments and the achievements and reminding myself of those day after day after day. And I think it's about celebrating your wins. >>I love that. Celebrating your wins. Do you agree, Rachel? >>I do. Here's the hard part, and I look around this table of amazing business leaders and I can guarantee that every single one of us sometime this year woke up and said, oh my gosh, I don't know how to do that. Oh >>Yeah. But >>What we haven't followed that by is, I don't know how to do that yet. Right. And here's the other thing I would tell my younger self is there will be days where every single one of us falls apart. There will be days when we feel like we failed at work. There will be days when you feel like you failed as a parent or you failed as a spouse. There'll be days where you have a kid in the middle of target screaming and crying while you're trying to close a big business deal and you just like, oh my gosh, is this really my life? But what I would tell my younger self is, look, the crying, the chaos, the second guessing yourself, the successes, every single one of those are milestones. And it's triumphant, it's tragic, but every single thing that we have been through is fiercely worthwhile. And it's what got us >>Here. Absolutely. Absolutely. Think of all the trials and tribulations and six and Zacks that got you to this table right now. Yep. So Terry, you brought up confidence. How would you advise the women out there won't say you're gonna know stuff. The women out there now that are watching those that are watching right there. Hi. How would you advise them to really find their, their ability to praise themselves, recognize all of the trials and the tribulations as milestones as Rachel said, and really give themselves a seat at the table, raise their hand regardless of who else is in the room? >>You know, it's a, it's a more complex question just because confidence stems from courage, right? Confidence also stems from the belief that you're going to be treated fairly right now in an organization for you to be treated fairly. You need to have, be surrounded by supporters that are going to promote your voice. And very often women don't invest enough in building that support system around them. Yeah. Right. We have mentors, and mentors are great because they come in and they advise us and they'll tell us what we need to go out and do. We really need a team of sponsors Yes. Who come in and support us in the moment in the business. Give us the informal channel because very often we are not plugged into the informal channel, right. So we don't get those special projects or assignments or even opportunities to prove that we can do the tough task. Yeah. So, you know, my, my advice would be to go out and build a network of sponsors. Yes. And if you don't have one, be a sponsor for someone else. That's right. I love that. Great way to win sponsorship is by extending it todos. >>And sometimes too, it's about, honestly, I didn't even know the difference between a mentor and a sponsor until a few years ago. And I started thinking, who are I? And then I started realizing who they were. That's right. And some of the conversations that we've had on the cube about women in technology, women of the cloud with some of the women leaders have said, build, and this is kind of like, sort of what you were saying, build your own personal board of directors. Yeah. And that, oh, it gives me chills. It's just, it's so important for, for not just women, but anybody, for everybody. But it's so important to do that. And if you, you think about LinkedIn as an example, you have a network, it's there, utilize it, figure out who your mentors are, who your sponsors are, who are gonna help you land the next thing, start building that reputation. But having that board of directors that you can kind of answer to or have some accountability towards, I think is hugely very >>Important. Yeah. >>Very important. I think, you know, just for, just for those that are listening, a really important distinction for me was mentors are people that you have that help you with, Hey, here's the situation that you were just in. They advise you on the situation. Sponsors are the people that stick up for you when you're not in the room to them. Right. Sponsors are the ones that say, Hey, I think so and so not only needs to have a seat at the table, but they need to build the table. And that's a really important delineation. Yeah. Between mentors and sponsors. And everybody's gotta have a sponsor both within their company and outside of their company. Someone that's advocating for them on their behalf when they don't even know it. Yeah. Yeah. >>I love that you said that. Build the table. It reminds me of a quote that I heard from Will I am, I know, very random. It was a podcast he did with Oprah Winfrey on ai. He's very into ai and I was doing a panel on ai, so I was doing a lot of research and he said, similar for Rachel to build the table, don't wait for a door to open. You go build a door. And I just thought, God, that is such brilliant advice. It is. It's hard to do. It is. Especially when, you know, the four of us in this room, there's a lot of women around here, but we are in an environment where we are the minority women of color are also the minority. What do you guys think where tech is in terms of de and I and really focusing on De and I as as really a very focused strategic initiative. Turner, what do you think? >>So, you know, I just, I, I spoke earlier about the women that we have at Entity Data, right? We have a fabulous team of women. And joining this team has been a moment of revelation for me coming in. I think to promote dni, we all need to start giving back, right? Yes. So today, I would love to announce that we at Entity would like to welcome all of you out there. You know, folks that have diverse ideas, you know, ISV, partners with diverse solutions, thought leaders out there who want to contribute into the ecosystem, right? Customers out there who want to work with companies that are socially responsible, right? We want to work with all of you, come back, reach out to us and be a part of the ecosystem because we can build this together, right? AWS has an amazing platform that gives us an opportunity to do things differently. Yes. Right. Entity data is building a women powered cloud team. And I want to really extend that out to everyone else to be a part this ecosystem, >>But a fantastic opportunity. You know, when we talk about diversity and inclusion and equity, it needs to be intentional for organization. It sounds very intentional at ntt. I know that that intention is definitely there at AWS as well. What are your thoughts on where tech is with respect to diversity? Even thought diversity? Because a lot of times we tend to go to our comfort zones. We do. And so we tend to start creating these circles of kind of like, you know, think tanks and they think alike people to go outside of that comfort zone. It's part of building the table, of building the, is the table and getting people from outside your comfort zone to come in and bring in diverse thought. Because can you imagine the potential of technology if we have true thought diversity in an organization? >>Right? It's, it's incredible. So one of the things that I always share with my team is we've got the opportunity to really change the outcome, right? As you know, you talked about Will I am I'm gonna talk about Bono from you too, right? One of, one of his favorite quotes is, we are the people we've been waiting for. Oh, I love that. And when you think about that, that is us. There is no one else that's gonna change the outcome and continue to deliver some of the business outcomes and the innovation that we are if we don't continue to raise our hand and we don't continue to, to inspire the next generation of leaders to do the same thing. And what I've found is when you start openly sharing what your innovation ideas are or how you're leveraging your engineering background, your stories and your successes, and, and frankly, some of your failures become the inspiration for someone you might not even know. Absolutely. And that's the, you know, that's the key. You're right. Inclusion, diversity, equity and accessibility, yes. Have to be at the forefront of every business decision. And I think too often companies think that, you know, inclusion, diversity, equity and accessibility is one thing, and business outcomes are another. And they're not. No, they are one in the same. You can't build business outcomes without also focusing on inclusion, diversity, equity, accessibility. That's the deliberate piece. >>And, and it has to be deliberate. Jimmy, I wanna ask you, we only have a couple of minutes left, but you're a woman in tech, you're a woman of color. What was that like for you? You, you were very intentional knowing when you were quite young. Yeah. What you wanted to do, but how have you navigated that? Because I can't imagine that was easy. >>It wasn't. I remember, I always tell the story and the, the two things that I really wanted to emphasize today when I thought about this panel is rep representation matters and showing up matters, right? And there's a statement, there's a flow, I don't know who it's attributed to, but be the change you want to see. And I remember walking through the doors of Goldman Sachs 15 years ago and not seeing a black female engineer leader, right? And at that point in time, I had a choice. I could be like, oh, there's no one look like, there's no one that looks like me. I don't belong here. Or I could do what I actually did and say, well, I'm gonna be that person. >>Good, >>Right? I'm going to be the chain. I'm going to show up and I am going to have a seat at the table so that other people behind me can also have a seat at the table. And I think that I've had the privilege to work for a company who has been inclusive, who has had the right support system, the right structures in place, so that I can be that person who is the first black woman tech fellow at Goldman Sachs, who is one of the first black females to be promoted up the rank as a, from analysts to managing director at the company. You know, that was not just because I determined that I belong here, but because the company ensure that I felt that I belong. >>Right. >>That's a great point. They ensure that you felt that. Yeah. You need to be able to feel that. Last question, we've only got about a minute left. 2023 is just around the corner. What comes to your mind, Jimmy will stick with you as you head into the new year. >>Sorry, can you repeat >>What comes to mind priorities for 2023 that you're excited about? >>I'm excited about the democratization of data. Yeah. I'm excited about a lot of the announcements today and I, I think there is a, a huge shift going on with this whole concept of marketplaces and data exchanges and data sharing. And I think both internally and externally, people are coming together more. Companies are coming together more to really de democratize and make data available. And data is power. But a lot of our businesses are running, running on insights, right? And we need to bring that data together and I'm really excited about the trends that's going on in cloud, in technology to actually bring the data sets together. >>Touro, what are you most excited about as we head to 2023? >>I think I'm really excited about the possibilities that entity data has right here, right now, city of Las Vegas, we've actually rolled out a smart city project. So saving citizens life, using data edge analytics, machine learning, being able to predict adverse incidents before they happen, and then being able to take remediation action, right? So that's technology actually working in real time to give us tangible results. We also sponsor the Incar races. Lots of work happening there in delivering amazing customer experience across the platform to millions of users real time. So I think I'm just excited about technology coming together, but while that's happening, I think we really need to be mindful at this time that we don't push our planet into per right. We need to be sustainable, we need to be responsible. >>Absolutely. Rachel, take us out. What are you most excited about going into 2023? >>So, you know, there are so many trends that are, that we could talk about, but I'll tell you at aws, you know, we're big. We, we impact the world. So we've gotta be really thoughtful and humble about what it is that we do. So for me, what I'm most excited about is, you know, one of our leadership principles is about, you know, with what broad responsibility brings, you know, you've got to impact sustainability and many of those other things. And for me, I think it's about waking up every day for our customers, for our partners, and for the younger generations. And being better, doing better, and making better for this planet and for, you know, the future generations to come. So >>I think your tag line just start applies to all of that. It does. It has been an absolute pleasure. And then really an honor to talk to you on the program. Thank you all for joining me, sharing your experiences, sharing what you've accomplished, your recommendations for those others who might be our same generation or older or younger. All really beautiful advice. Thank you so much for your time and your insights. We appreciate it. >>Thank you. Thank you. >>For my guests, I'm Lisa Martin. You're watching The Cube, the leader in live enterprise and emerging tech coverage. Thanks for watching.

Published Date : Nov 30 2022

SUMMARY :

It is so great to have you guys on this power panel. Talk to us a little bit about that and then we'll go around the table. So we are doing a ton of work on edge analytics in the That's outstanding to hear because it's one of those things that you can't be what you can't see. the business outcomes that we can deliver with our customers and Jimmy, talk to us a little bit about you, your role at Goldman Sachs. And I get to be leading the digital platform What are some of the recommendations that you would have for other And I think it's about pursuing Rachel, you're shaking your head. So, you know, interesting enough, I actually started my career as a And you know, fuel your passion, be curious, What would you say to And when I broke that to my father, you know, the standard Indian Give me, let's pivot on confidence for a minute, Jim, and let's go back to how would you advise your And I think it's about celebrating your wins. Do you agree, Rachel? don't know how to do that. And here's the other thing I would tell my younger self is there and Zacks that got you to this table right now. And if you don't have one, be a sponsor for someone else. some of the women leaders have said, build, and this is kind of like, sort of what you were saying, build your own personal board Yeah. Sponsors are the people that stick up for you when you're not in the room I love that you said that. You know, folks that have diverse ideas, you know, ISV, And so we tend to start creating these circles of kind of like, you know, think tanks and they think alike And when you think about that, that What you wanted to do, but how have you navigated that? but be the change you want to see. And I think that I've Jimmy will stick with you as you head into the new year. And I think both internally and We need to be sustainable, we need to be responsible. What are you most excited about going into 2023? this planet and for, you know, the future generations to come. And then really an honor to talk to you on the program. Thank you. and emerging tech coverage.

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Dan Woods & Haiyan Song, F5 | AWS re:Inforce 2022


 

>>You want us to >>Look at that camera? Okay. We're back in Boston, everybody. This is Dave ante for the cube, the leader in enterprise tech coverage. This is reinforce 2022 AWS's big security conference. We're here in Boston, the convention center where the cube started in 2010. Highend song is here. She's head of security and distributed cloud services at F five. And she's joined by Dan woods. Who's the global head of intelligence at F five. Great to see you again. Thanks for coming in the cube, Dan, first time I believe. Yeah. Happy to be here. All right. Good to see you guys. How's the, how's the event going for? Y'all >>It's been just fascinating to see all those, uh, new players coming in and taking security in a very holistic way. Uh, very encouraged. >>Yeah. Boston in, in July is, is good. A lot of, a lot of action to Seaport. When I was a kid, there was nothing here, couple mob restaurants and that's about it. And, uh, now it's just like a booming, >>I'm just happy to see people in, in person. Finally, is >>This your first event since? Uh, maybe my second or third. Third. Okay, >>Great. Since everything opened up and I tell you, I am done with >>Zoom. Yeah. I mean, it's very clear. People want to get back face to face. It's a whole different dynamic. I think, you know, the digital piece will continue as a compliment, but nothing beats belly to belly, as I like absolutely say. All right. Hi on let's start with you. So you guys do a, uh, security report every year. I think this is your eighth year, the app security report. Yeah. Um, I think you, you noted in this report, the growing complexity of apps and integrations, what did you, what are, what were your big takeaways this year? >>And so, like you said, this is our eighth year and we interview and talk to about 1500 of like companies and it decision makers. One of the things that's so prevalent coming out of the survey is complexity that they have to deal with, continue to increase. It's still one of the biggest headaches for all the security professionals and it professionals. And that's explainable in a way, if you look at how much digital transformation has happened in the last two years, right? It's an explosion of apps and APIs. That's powering all our digital way of working, uh, in the last two years. So it's certainly natural to, to see the complexity has doubled and tripled and, and we need to do something about it. >>And the number of tools keeps growing. The number of players keeps growing. I mean, so many really interesting, you know, they're really not startups anymore, but well funded new entrance into the marketplace. Were there any big surprises to you? You know, you're a security practitioner, you know, this space really well, anything jump out like, whoa, that surprised >>Me. Yeah. It's been an interesting discussion when we look at the results, right. You know, some of us would say, gosh, this is such a big surprise. How come people still, you know, willing to turn off security for the benefits of performance. And, and, and as a security professional, I will reflect on that. I said, it's a surprise, or is it just a mandate for all of us in security, we got to do better. And because security shouldn't be the one that prevents or add friction to what the business wants to do, right? So it's a surprise because we, how can, after all the breaches and, and then security incidents, people are still, you know, the three quarters of the, uh, interviewees said, well, you know, if we were given a choice, we'll turn off security for performance. And I think that's a call to action for all of us in security. How do we make security done in a way that's frictionless? And they don't have to worry about it. They don't have to do a trade off. And I think that's one of the things, you know, Dan in working our entire anti automation, uh, solution one is to PR protect. And the other thing is to enable. >>Yeah. You think about Dan, the, I always say the, the adversary is extremely capable. The ROI of cyber tech just keeps getting better and better. And your jobs really is to, to, to lower the ROI, right. It decrease the value, increase the cost, but you're, I mean, fishing continues to be prevalent. You're seeing relatively new technique island hopping, self forming malware. I mean, it's just mind boggling, but, but how are you seeing, you know, the attack change? You know, what what's the adversary do differently over the last, you know, several years maybe pre and post pandemic, we've got a different attack service. What are you seeing? >>Well, we're seeing a lot higher volume attacks, a lot higher volume and velocity. Mm-hmm, <affirmative> it isn't uncommon at all for us to go in line and deploy our client side signals and see, uh, the upper 90%, um, is automated, unwanted automation hitting the application. Uh, so the fact that the security teams continue to underestimate the size of the problem. That is something I see. Every time we go in into an enterprise that they underestimate the size of the problem, largely because they're relying on, on capabilities like caps, or maybe they're relying on two of a and while two of a is a very important role in security. It doesn't stop automated attacks and cap certainly doesn't stop automated >>Tax. So, okay. So you said 90% now, as high as 90% are, are automated up from where maybe dial back to give us a, a marker as to where it used to be. >>Well, less than 1% is typically what all of our customers across the F five network enjoy less than 1% of all traffick hitting origin is unwanted, but when we first go online, it is upper 90, we've seen 99% of all traffic being unwanted >>Automation. But Dan, if I dial back to say 2015, was it at that? Was it that high? That, that was automated >>Back then? Or, you know, I, I don't know if it was that high then cuz stuffing was just, you know, starting to kind take off. Right? No. Right. Um, but as pre stuffing became better and better known among the criminal elements, that's when it really took off explain the pays you're right. Crime pays >>Now. Yeah. It's unfortunate, but it's true. Yeah. Explain the capture thing. Cause sometimes as a user, like it's impossible to do the capture, you know, it's like a twister. Yeah. >>I >>Got that one wrong it's and I presume it's because capture can be solved by, by bots. >>Well, actually the bots use an API into a human click farming. So they're humans to sit around, solving captures all day long. I actually became a human capture solver for a short time just to see what the experience was like. And they put me to the training, teaching me how to solve, captures more effectively, which was fascinating, cuz I needed that training frankly. And then they tested to make sure I solve caps quickly enough. And then I had solved maybe 30 or 40 caps and I hadn't earned one penny us yet. So this is how bots are getting around caps. They just have human solve them. >>Oh, okay. Now we hear a lot at this event, you gotta turn on multifactor authentication and obviously you don't want to use just SMS based MFA, but Dan you're saying not good enough. Why explain >>That? Well, most implementations of two a is, you know, you enter in username and password and if you enter in the correct username and password, you get a text message and you enter in the code. Um, if you enter in the incorrect username and password, you're not sent to code. So the, the purpose of a credential stocking attack is to verify whether the credentials are correct. That's the purpose. And so if it's a two, a protected log in, I've done that. Admittedly, I haven't taken over the account yet, but now that I have a list of known good credentials, I could partner with somebody on the dark web who specializes in defeating two, a through social engineering or port outs or SIM swaps S so seven compromises insiders at telcos, lots of different ways to get at the, uh, two, a text message. >>So, wow, <laugh>, this is really interesting, scary discussion. So what's the answer to, to that problem. How, how have five approach >>It highend touched on it. We, we want to improve security without introducing a lot of friction. And the solution is collecting client side signals. You interrogate the users, interactions, the browser, the device, the network, the environment, and you find things that are unique that can't be spoof like how it does floating point math or how it renders emojis. Uh, this way you're able to increase security without imposing friction on, on the customer. And honestly, if I have to ever have to solve another capture again, I, I, I just, my blood is boiling over capture. I wish everyone would rip it out >>As a user. I, I second that request I had, um, technology got us into this problem. Can technology help us get out of the problem? >>It has to. Um, I, I think, uh, when you think about the world that is powering all the digital experiences and there's two things that comes to mind that apps and APIs are at the center of them. And in order to solve the problem, we need to really zero in where, you know, the epic center of the, the, uh, attack can be and, and had the max amount of impact. Right? So that's part of the reason from a F five perspective, we think of application and API security together with the multitier the defense with, you know, DDoS to bots, to the simple boss, to the most sophisticated ones. And it has to be a continuum. You don't just say, Hey, I'm gonna solve this problem in this silo. You have to really think about app and APIs. Think about the infrastructure, think about, you know, we're here at AWS and cloud native solutions and API services is all over. You. Can't just say, I only worry about one cloud. You cannot say, I only worry about VMs. You really need to think of the entire app stack. And that's part of the reason when we build our portfolio, there is web application firewall, there's API security there's bot solution. And we added, you know, application infrastructure protection coming from our acquisition for threat stack. They're actually based in Boston. Uh, so it's, it's really important to think holistically of telemetry visibility, so you can make better decisions for detection response. >>So leads me to a number of questions first. The first I wanna stay within the AWS silo for a minute. Yeah. Yeah. What do you, what's the relationship with AWS? How will you, uh, integrating, uh, partnering with AWS? Let's start there. >>Yeah, so we work with AWS really closely. Uh, a lot of our solutions actually runs on the AWS platform, uh, for part of our shape services. It's it's, uh, using AWS capabilities and thread stack is purely running on AWS. We just, uh, actually had integration, maybe I'm pre announcing something, uh, with, uh, the cloud front, with our bot solutions. So we can be adding another layer of protection for customers who are using cloud front as the w on AWS. >>Okay. So, um, you integrate, you worry about a APIs, AWS APIs and primitives, but you have business on prem, you have business, other cloud providers. How do you simplify those disparities for your customers? Do you kind of abstract all that complexity away what's F fives philosophy with regard then and creating that continuous experience across the states irrespective of physical >>Location? Yeah, I think you're spot on in terms of, we have to abstract the complexity away. The technology complexity is not gonna go away because there's always gonna be new things coming in the world become more disaggregated and they're gonna be best of brain solutions coming out. And I think it's our job to say, how do we think about policies for web application? And, you know, you're, on-prem, you're in AWS, you're in another cloud, you're in your private data center and we can certainly abstract out the policies, the rules, and to make sure it's easier for a customer to say, I want this particular use case and they push a button. It goes to all the properties, whether it's their own edge or their own data center, and whether it's using AWS, you know, cloud front as you using or web. So that is part of our adapt. Uh, we call it adaptive application. Vision is to think delivery, think security, think optimizing the entire experience together using data. You know, I come from, uh, a company that was very much around data can power so many things. And we believe in that too. >>We use a, we use a term called super cloud, which, which implies a layer that floats above the hyperscale infrastructure hides the underlying complexity of the primitives adds value on top and creates a continuous experience across clouds, maybe out to the edge even someday on prem. Is that, does that sound like, it sounds like that's your strategy and approach and you know, where are you today? And that is that, is that technically feasible today? Is it, is it a journey? Maybe you could describe >>That. Yeah. So, uh, in my title, right, you talked about a security and distribute cloud services and the distribute cloud services came from a really important acquisition. We did last year and it's about, uh, is called Wil Tara. What they brought to F five is the ability not only having lot of the SAS capabilities and delivery capabilities was a very strong infrastructure. They also kept have capability like multi-cloud networking and, you know, people can really just take our solution and say, I don't have to go learn about all the, like I think using super cloud. Yeah, yeah. Is exactly that concept is we'll do all the hard work behind the scenes. You just need to decide what application, what user experience and we'll take care of the rest. So that solutions already in the market. And of course, there's always more things we can do collect more telemetry and integrate with more solutions. So there's more insertion point and customer can have their own choice of whatever other security solution they want to put on top of that. But we already provide, you know, the entire service around web application and API services and bot solution is a big piece of that. >>So I could look at analytics across those clouds and on-prem, and actually you don't have to go to four different stove pipes to find them, is that >>Right? Yeah. And I think you'd be surprised on what you would see. Like you, you know, typically you're gonna see large amounts of unwanted automation hitting your applications. Um, it's, I, I think the reason so many security teams are, are underestimating. The size of the problem is because these attacks are coming from tens of thousands, hundreds of thousands, even millions of IP addresses. So, you know, for years, security teams have been blocking by IP and it's forced the attackers to become highly, highly distributed. So the security teams will typically identify the attack coming from the top hundred or 1500 noisiest IPS, but they missed the long tail of tens of thousands, hundreds of thousands of IPS that are only used one or two times, because, you know, over time we forced the attackers to do this. >>They're scaling. >>Yeah, they are. And, and they're coming from residential IPS now, uh, not just hosting IPS, they're coming from everywhere. >>And, and wow. I mean, I, we know that the pandemic changed the way that organization, they had to think more about network security, rethinking network security, obviously end point cloud security. But it sounds like the attackers as well, not only did they exploit that exposure, but yeah, yeah. They were working from home and then <laugh> >>The human flick farms. They're now distributor. They're all working from home. >>Now we could take advantage >>Of that when I was solving captures, you could do it on your cell phone just by walking around, solving, captures for money. >>Wow. Scary world. But we live in, thank you for helping making it a little bit safer, guys. Really appreciate you coming on the queue. >>We'll continue to work on that. And our motto is bring a better digital world to life. That's what we can set out >>To do. I love it. All right. Great. Having you guys. Thank you. And thank you for watching. Keep it right there. This is Dave ante from reinforce 2022. You're watching the cube right back after this short break.

Published Date : Jul 27 2022

SUMMARY :

Good to see you guys. It's been just fascinating to see all those, uh, new players coming in and taking security A lot of, a lot of action to Seaport. I'm just happy to see people in, in person. This your first event since? Since everything opened up and I tell you, I am done with I think, you know, the digital piece will continue as a compliment, And so, like you said, this is our eighth year and we interview and talk to about you know, this space really well, anything jump out like, whoa, that surprised And I think that's one of the things, you know, Dan in working our entire anti automation, what what's the adversary do differently over the last, you know, Uh, so the fact that the security teams continue So you said 90% now, as high as 90% are, Was it that high? you know, starting to kind take off. a user, like it's impossible to do the capture, you know, it's like a twister. Got that one wrong it's and I presume it's because capture can be solved And they put me to the training, teaching me how to solve, Now we hear a lot at this event, you gotta turn on multifactor authentication the correct username and password, you get a text message and you enter in the code. to that problem. interactions, the browser, the device, the network, the environment, and you find things that I, I second that request I had, um, And we added, you know, So leads me to a number of questions first. on the AWS platform, uh, for part of our shape services. AWS APIs and primitives, but you have business on prem, you have business, And I think it's our job to say, how do we think about policies for web application? a layer that floats above the hyperscale infrastructure hides the underlying complexity of the primitives But we already provide, you know, the entire service around forced the attackers to become highly, highly distributed. And, and they're coming from residential IPS now, uh, not just hosting IPS, But it sounds like the attackers The human flick farms. Of that when I was solving captures, you could do it on your cell phone just by walking around, solving, But we live in, thank you for helping making We'll continue to work on that. And thank you for watching.

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Randy Rowland & Holland Barry, Cyxtera | Dell Technologies World 2022


 

>>Welcome back to the cubes coverage of Dell tech world 2022. My name is Dave Volante and I'm here in our cube studios in Massachusetts getting ready for the first in person DT w since 2019, you know, Charles Phillips, the CEO of Infor and former Oracle ex once set on the cube friends, don't let friends build data centers anymore. It's just not the best use of capital for most companies, unless you happen to be in the data center business like Sexter organizations wanna make hybrid connections to the cloud. They need a partner that knows how to build and manage world class data centers that are both efficient and resilient. And in this segment, we're gonna talk about the importance of hybrid strategies for organizations, how they're approaching hybrid and why a partner strategy is important to support the next decade of digital transformation initiatives. And with me are Randy Roland. Who's the COO of six Tara and Holland Barry, who is the field CTO for the company. Gentlemen, welcome to the cube. Thanks for coming on. >>Thank you. >>Good to meet her. Thanks for having us. >>Hey, Randy, as a relatively new player, unlike a lot of data center operators, Cera, you're not shackled by decades of technical debt. Tell us more about the company. >>Yeah. So as you, uh, already discussed Ceras a data center company, and we're one of the few that can provide colocation globally. And so that allows our customers to scale, uh, across the globe, as our business scales, we operate in 28 markets. We have over 60 data centers and we continue to add more dots to the map based on customer demand. And the primary way we differentiate is that we've built a true global data center platform. And what do I mean by that is that we have a combination of 2300 customers, uh, enterprises, technology, service providers, government agencies, we're a leader in interconnection. Uh, we have a commitment to carry neutrality and to provide low latency access to all the different cloud platforms. And we've made major investments in developing our own technology in house. And this will come out. As we talk about hybrid cloud is to make our data centers easier to consume. Uh, we live in a cloud first world, and so we've got to be able to be responsive and be able to deliver capacity on demand and to allow our customer members to dynamically connect to each other so they can start to consume these valuable services. And so that's really what we're doing at Cera. >>You know, Randy, just a follow up is because when the cloud first came out, everybody said, oh, companies like, like yours, Dana data center operations are toast. And the exact opposite happened. It was like this rising tide lifted all boats. The, the business is, is booming. It's, uh, it's actually quite room, isn't it? >>Yeah, actually it's a good point. We actually lean into, uh, cloud consumption. I think, uh, if you remember, the cloud operates in four walls. And so when a company, um, actually starts to deploy and leverage more, they need a place to land their digital infrastructure hub, where they can make connections to all the different cloud solutions they're gonna consume. And they're using their own internal resources at the same time. And so the more that we adopt cloud, um, and lean into cloud, the more likely our customer gonna choose us. And back to your opening comment about, uh, the, the quote from the Oracle executive in, in my career, I've been in the data center business for a long time and it, it's definitely a generational thing. We have newer generation of it leaders when they think about their internal data center, their actual internal data center is ours. They're thinking about their own four walls sitting on their own property like they did historically. And so, uh, they view internal data centers as the contracts they have, uh, with six companies like six. >>Excellent. All right, Holland, let's bring you into the conversation. What are you seeing with, with hybrid cloud strategies? You, why are companies choosing hybrid? Give us some color there. >>Yeah, I think, you know, we, as a company sit in an interesting confluence of some workload movements, if you will. Um, so I think there's been, in some cases, an overcorrection in the public cloud, people thought that a cloud first strategy meant that you have to throw everything up in a public cloud. Uh, especially over the last couple years when we had, you know, the surprise of a large remote workforce. And as you mentioned at the top of the call, Dave, we also have folks with the shrinking appetite to own and operate their data centers, right? So the hybrid approach is a, um, a selective methodology to really look at the applications, uh, look at the strengths of each one of those venues, where you can run your applications and workloads, and really choosing the one that uses the strengths. And there's several, uh, drivers behind that. Uh, some of them are cost. Some of them are performance. Some of them might have to do a security or data sovereignty. Um, so you can really match those requirements and those business outcomes that you're looking to achieve, uh, and align them with that platform. That's that's best suited to serve it. >>So you mentioned a few of 'em, but I wanna sort of stay on that for a minute. Is it, is it, you know, egress cost, everybody talks about that, you know, latency proximity to the cloud. I mean, I think there's a lot of times, I think the ideal situation is you put your high performance, you know, transaction low latency stuff in one of your data centers. And, you know, a lot of the data is, is in the cloud that you might need access to. But is there other innovation, you know, talk a little bit more about the drivers that you're seeing with customers? >>Absolutely. We, I think, um, as it relates to data gravity and the potential relation to egress charges, that is a huge, uh, consideration, cuz there's a cost and a performance component to that. If you decide you want to take that data and move somewhere else, if it's in the public cloud, you're gonna pay some, uh, pretty large egres fees, but there's certainly other drivers, um, performance being another big one. Uh, if I've got a, a data lake or, or a big data analytics platform or maybe an AI platform that needs to live close to the data. Um, and especially if those workloads that are associated with crunching, the data are kind of high steady state, maybe even mission critical workloads that is certainly a workload profile. That's better suited to run within our four walls. You can have those CPU or GPU comput nodes sitting right next to those large data sets, operating with each other at land speed. Um, so in terms of the drivers behind, uh, making a, a venue change, if you will, I think cost is one of the biggest ones that we see and, and maybe performance and security following close after. >>So, so how are customers approaching hybrid? Can you paint a picture of kinda what that connection looks like and how, how they, you know, land on their strategies? >>Yeah, absolutely. So they're doing, uh, what I like to call a workload appropriateness, uh, exercise. And as they think about recalibrating where those workloads live, exactly what I said before, they're looking at the strengths of the platform and, uh, lining up those application profiles to live in, in the appropriate place. We have a unique advantage, uh, because of our interconnection profile and our adjacency to public cloud platforms, where if people want to have application tiers that may be sent on both sides of the fence, if you will, uh, we have super, super low latency connections. You can connect, you know, layer two, uh, maybe out to AWS, um, and, you know, have your VPC on one side, have, uh, you know, dedicated single tenant environments on our side and have those applications interact with each other. And then in a super low latency fashion, >>Hey, lemme just ask a follow up question on that. Because I remember the Y2K days, there was a, a lot of activity, a lot of spending and then CIOs wanted to look at their portfolio and, and rationalize that portfolio. When you talk about workload appropriateness, are you seeing a similar application rationalization exercise going on or is it just a Hey can spending, >>Uh, absolutely. We're seeing rationalization and I think what's happening is folks are getting a little more savvy about forecasting, the growth of their application, uh, the growth of the data associated with it, what the cost may be associated with needing to move them around to different venues. Um, and so we're, we're definitely seeing people look at those numbers and make decisions about workload placement based on that analytics and, and kind of knowledge of what it means down the road and also where the data might need to live locally too. We're seeing people, uh, being a little more cognizant geographically around data where it lives and how that relates to where the computer associated with that data is. >>Yeah. Hey Randy, can you tell us a little bit more from a business perspective about the Dell partnership? How did that come about, you know, who does, what, what are the swim lanes overlaps? Maybe you can help us understand that. >>Yeah, so we're very excited about, uh, our Dell partnership, as you can imagine, with as many customers and many data centers, as we've got deployed, we have Dell, uh, located it in a large percentage of our customer environments. And so it's just natural that we work together to figure out how we can continue to meet, uh, our customer's needs. And so the core idea that I'm excited about around Dell is that Dell has an excellent technology platform in all fronts, they've got great compute and storage and all types of software solutions. And what we want to do is help them make their platform more on demand. And so what do I mean by that? If you think about the historical, uh, time, it takes to deploy a traditional colo environment from the time you spec the cage, do you ship the equipment, you install the network, you rack and stack the equipment, unload the cloud stack. >>It takes weeks to months to deploy. And so what we're doing is working very closely with Dell to look at our existing customers and new prospects that are interested in their platform and how can we pre-provision that capacity in, in the data center make it so it's already plugged into the data center already is powered up. It's connected to the network and a customer can purchase it on demand. And so the idea behind this is how can we give our customers all the benefits of Kolo, which is what, uh, Holland was talking about a minute ago, but deliver that platform at the speed of cloud. And that's really the essence of the partnership we have with Dell. Uh, we think it could be explosive. Uh, we think there's a lot of opportunity, not only, uh, for us, but also for Dell as they continue to retain their customers and their customers go through tech refresh cycles, if they can have on demand technology that they're already familiar with, they can get the benefits that you get from co-location at the speed of cloud. And that that's what our, the, the basis of our, our relationship. >>Yeah. Thank you. So Holland, I mean, Randy was saying one of the pillars of Dell tech world this year is the whole as a service thrust. And, you know, essentially what it is, my, my viewpoint is Dell's building out its own cloud. That's, you know, it's, it's its aspiration I think, is to connect on-prem to, through hybrid, to public clouds across clouds, out to the edge extract that all that complexity and you guys would be a key part of that from a, from a CTO's perspective, that's a different mindset. I mean, it changes the way we manage, think about procure, you know, spend, uh, um, and, and maybe that even the technical configurations of, of how we deliver and consume it, you give us some thoughts on that. >>Absolutely. Look, I think what we're doing is we're laying the foundation for a truly hybrid experience. Um, Randy mentioned, uh, us going through great lengths with our technology partners like Dell and make the data center consumable in an automated fashion. And so as we increasingly move into technologies like containers and using coordinators managers like Kubernetes, we really now have the ability to make a true hybrid experience. And if you think about the experience of deploying, you know, in a data center, whether it's your own or a co like ours, that was, you know, a 60 to 90 day conversation to, to get that infrastructure spun up. And so now if you can consume public cloud resources, just like we've been used to doing where you can swipe a card and get access to infrastructure in a matter of minutes or hours have the same experience with us, we've kind of closed that last mile of infrastructure delivery. And the other neat thing about this is, uh, if you have a cloud first mandate, if some of those workloads are running a ter data center, uh, we check all those same boxes, right? Uh, we, we have infrastructure that sits off X. We have a global platform. Uh, we have, you know, highly automated environment. So you can really now start extracting yourself a little bit from the infrastructure and start focusing on the important stuff, which the applications that sit on top. >>So from a security standpoint, you have a similar, you know, the cloud guys talk about the shared responsibility model. Is that a similar model that, that you guys have? Can you describe that? >>Yeah, it's, it's, it's very analogous to this shared responsibility model and, and public cloud. We give a little bit more control to our customers, like things like, you know, dictate maintenance windows. Um, we give a little bit more control in terms of access to the infrastructure. Uh, it's one of the reasons that organizations like running infrastructure with us is because we can hand off control to these certain things that the lower levels of the infrastructure stack versus that higher level of abstraction that happens with public cloud. >>And what, what kind of skills are you after, uh, these days? Is it people that can squeeze, you know, more power and, you know, more efficient cooling, uh, is it infrastructure management? You mentioned Kubernetes before. What, what matters to a company like yours from a skill standpoint? >>Yeah. And to terms of our staff, it is at the lower, uh, levels of the stack, if you will. So maybe going, you know, up to, uh, layer two or three, if we think about the OSI model. So certainly power engineering, cooling engineering, the stuff that physically runs our, our data center, that's our meat and potatoes. That's important to us, but as you consider our digital platform, um, certainly the networking, uh, know how knowledge of the entire stack, knowing how things are architected, understanding how cloud works, how understanding how cloud connectivity works. These are all super, super important skill sets. So we span the spectrum a bit. Um, but it's less on the upper ends of it, you know, kind of going up to layer seven, >>Although I'd imagine that data center automation is obviously a big part of your, your IP, right. Is that something that you have guys bring to the table? Yes. >>Yeah, it's actually one of our key innovations is around how we've architected our software platform, how we do our automation, uh, how we run our network. Uh, we we've, uh, built a, a super, super innovative SDN fabric that powers all of our Metro regions that enables the delivery, the infrastructure that hangs off of it. Um, so yeah, a huge percentage of our I P is around that software innovation and, uh, networking automation. >>Great. Randy, I wonder if you could close it out for us. Uh, I'd love your thoughts on where you'd like to see the Dell partnership go and any other, you know, information you'd like to leave the audience with. >>Yeah. I think you've asked a couple questions about the perspective from a CTO and the way that we want to build our solutions is if you are a CTO or if you're a cloud architect, what we are trying to build is a set of Legos to allow you to assemble your ultimate hybrid it solution to use a combination of traditional colocation, where you have equipment that you own, that you manage on demand, bare metal from great partnerships, like where we have with Dell, that can augment what you have in colo have access to a rich ecosystem of technology providers that sit in the same data center markets so that you can start to, to actually augment your it architecture with a lot of our, um, uh, solution providers that sit within our, our, our markets access to cloud OnRamp. So you get low latency access to public cloud to start to leverage some of the technologies they have, and also have the ability to switch, right? If you start with one cloud cloud provider, and at some point you find something more cost efficient, or a little bit more architecturally, uh, built that we can, uh, uh, facilitate that switch. And then also to have connectivity to all the different network carriers that we have. And so, and, and also to do it globally, right? And so our mission is to give the CTO and the cloud architect, the ultimate Legos, uh, to build their custom solution, it's highly, um, cost effective and meets all the technology requirements. >>Yeah. Hedging that risk and having exit strategies, I think is huge. Every, every customer needs to think about that, uh, before they, they dive into the cloud. Okay, guys, we gotta leave it there. Thanks so much for coming in the cube. Great discussion. >>Thank you. Thanks for having us. >>And thank you for watching our ongoing coverage of Dell technologies, world 2022, the in-person live version where we insert great deep dive interviews like this one that focus on key customer topics. Keep it right there. You're watching the cube.

Published Date : May 3 2022

SUMMARY :

It's just not the best use of capital for most companies, unless you happen to be in the data center business Good to meet her. Hey, Randy, as a relatively new player, unlike a lot of data center operators, Cera, And so that's really what we're doing at Cera. And the exact opposite happened. I think, uh, if you remember, the cloud operates in four walls. What are you seeing with, with hybrid cloud strategies? Uh, especially over the last couple years when we had, you know, the surprise of a large remote workforce. And, you know, a lot of the data is, is in the cloud that you might need access Um, so in terms of the drivers behind, uh, making a, you know, have your VPC on one side, have, uh, you know, dedicated single tenant environments on our When you talk about workload appropriateness, are you seeing a similar little more savvy about forecasting, the growth of their application, uh, How did that come about, you know, who does, what, what are the swim lanes overlaps? uh, time, it takes to deploy a traditional colo environment from the time you spec the And so the idea behind this is how can we give our customers all the out to the edge extract that all that complexity and you guys would be a key part of that from a, And so now if you can consume public cloud resources, just like we've been used to doing where you So from a security standpoint, you have a similar, you know, the cloud guys talk about the shared responsibility model. We give a little bit more control to our customers, like things like, you know, dictate maintenance windows. Is it people that can squeeze, you know, more power and, you know, more efficient cooling, but it's less on the upper ends of it, you know, kind of going up to layer seven, Is that something that you have guys bring to the table? uh, how we run our network. go and any other, you know, information you'd like to leave the audience with. the way that we want to build our solutions is if you are a CTO or if you're a cloud architect, the cube. Thanks for having us. And thank you for watching our ongoing coverage of Dell technologies, world 2022,

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Barb Huelskamp and Tarik Dwiek, Alteryx


 

>>Okay. We're back here in the cube, focusing on the business promise of the cloud democratizing data, making it accessible and enabling everyone to get value from analytics, insights, and data. We're now moving into the eco systems segment the power of many versus the resources of one. And we're pleased to welcome. Barb Hills camp was the senior vice president partners and alliances at Ultrix and a special guest terror do week head of technology alliances at snowflake folks. Welcome. Good to see you. >>Thank you. Thanks for having me. Good to >>See Dave. Great to see you guys. So cloud migration, it's one of the hottest topics. It's the top one of the top initiatives of senior technology leaders. We have survey data with our partner ETR it's number two behind security and just ahead of analytics. So we're hovering around all the hot topics here. Barb, what are you seeing with respect to customer know cloud migration momentum and how does the Ultrix partner strategy fit? >>Yeah, sure. Partners are central, our company's strategy. They always have been, we recognize that our partners have deep customer relationships. And when you connect that with their domain expertise, they're really helping customers on their cloud and business transformation journey. We've been helping customers achieve their desired outcomes with our partner community for quite some time. And our partner base has been growing an average of 30% year over year, that partner, community and strategy now addresses several kinds of partners, spanning solution providers to global size and technology partners, such as snowflake and together, we help our customers realize that business promise of their journey to the cloud. Snowflake provides a scalable storage system altereds provides the business user friendly front end. So for example, it departments depend on snowflake to consolidate data across systems into one data cloud with Altryx business users can easily unlock that data in snowflake solving real business outcomes. Our GSI and solution provider partners are instrumental in providing that end to end benefit of a modern analytic stack in the cloud providing platform guidance, deployment, support, and other professional services. Okay, >>Great. Let's get a little bit more into the relationship between Altrix and in snowflake the partnership, maybe a little bit about the history, you know, what are the critical aspects that we should really focus on? Barb? Maybe you could start an Interra kindly way in as well. >>Yeah, so the relationship started in 2020 and all shirts made a big bag deep with snowflake co-innovating and optimizing cloud use cases together. We are supporting customers who are looking for that modern analytic stack to replace an old one or to implement their first analytic strategy. And our joint customers want to self-serve with data-driven analytics, leveraging all the benefits of the cloud, scalability, accessibility, governance, and optimizing our costs. Altrix proudly achieves highest elite tier and their partner program last year. And to do that, we completed a rigorous third party testing process, which also helped us make some recommended improvements to our joint stack. We wanted customers to have confidence. They would benefit from high quality and performance in their investment with us then to help customers get the most value out of the strength solution. We developed two great assets. One is the Altrix starter kit for snowflake, and we coauthored a joint best practices guide. >>The starter kit contains documentation, business workflows and videos, helping customers to get going more easily with an Alteryx and snowflake solution. And the best practices guide is more of a technical document, bringing together experiences and guidance on how Ultrix and snowflake can be deployed together. Internally. We also built a full enablement catalog resources, right? We wanted to provide our account executives more about the value of the snowflake relationship. How do we engage and some best practices. And now we have hundreds of joint customers such as Juniper and Sainsbury who are actively using our joint solution, solving big business problems, much faster. Cool. >>Tara, can you give us your perspective on the >>Yeah, definitely. Dave. So as Bart mentioned, we've got this standing very successful partnership going back, whereas with hundreds of happy joint customers. And when I look at the beginning, Ultrix has helped pioneer the concept of self-service analytics actually with use cases that we've worked on with, for, for data prep for BI users like Tableau and as Altrix has evolved to now becoming from data prep to now becoming a full end to end data science platform, it's really opened up a lot more opportunities for our partnership. Ultrix has invested heavily over the last two years in areas of deep integration for customers to fully be able to expand their investment, both technologies. And those investments include things like in database pushed down, right? So customers can, can leverage that elastic platform, that being the snowflake data cloud with Alteryx orchestrating the end to end machine learning workflows, Altryx also invested heavily in snow park, a feature we released last year around this concept of data programmability. So all users were regardless of their business analysts, regardless of their data, scientists can use their tools of choice in order to consume and get at data. And now with Altryx cloud, we think it's going to open up even more opportunities. It's going to be a big year for the partnership. >>Yeah. So, you know, Terike, we we've covered snowflake pretty extensively and you initially solve what I used to call the, I still call the snake swallowing the basketball problem and cloud data warehouse changed all that because you had virtually infinite resources. But so that's obviously one of the problems that you guys solved early on, but what are some of the common challenges or patterns or trends that you see with snowflake customers and where does Altryx come in? >>Sure. Dave there's there's handful that I can come up with today. The big challenges or trends for us, and Altrix really helps us across all of them. There are three particular ones I'm going to talk about the first one being self service analytics. If we think about it, every organization is trying to democratize data. Every organization wants to empower all their users, business users, you know, the, the technology users, but the business users, right? I think every, every organization has realized that if everyone has access to data and everyone can do something with data, it's going to make them competitively, give them a competitive advantage with all traits is something we share that vision of putting that power in the hands of everyday users, regardless of the skillsets. So with self-service analytics, with Ultrix designer, they've they started out with self-service analytics as the forefront, and we're just scratching the surface. >>I think there was an analyst report that shows that less than 20% of organizations are truly getting self-service analytics to their end users. Now with Altryx going to Ultrix cloud, we think that's going to be a huge opportunity for us. And then that opens up the second challenge, which is machine learning and AI, every organization is trying to get predictive analytics into every application that they have in order to be competitive in order to be competitive. And with Altryx creating this platform. So they can cater to both the everyday business user, the quote, unquote, citizen data scientists, and making it code friendly for data scientists, to be able to get at their notebooks and all the different tools that they want to use. They fully integrated in our snow park platform, which I talked about before, so that now we get an end to end solution catering to all, all lines of business. >>And then finally this concept of data marketplaces, right? We, we created snowflake from the ground up to be able to solve the data sharing problem, the big data problem, the data sharing problem. And Altryx, if we look at mobilizing your data, getting access to third-party data sets to enrich with your own data sets to enrich with, with your suppliers and with your partners, data sets, that's what all customers are trying to do in order to get a more comprehensive 360 view within their, their data applications. And so with Altryx is we're working on third-party data sets and marketplaces for quite some time. Now we're working on how do we integrate what Altrix is providing with, with the snowflake data marketplace so that we can enrich these workflows, these great rate workflows that Ultrix rating provides. Now we can add third party data into that workflow. So that opens up a ton of opportunities date. So those are three. I see easily that we're going to be able to solve a lot of customer challenges with. >>Excellent. Thank you for that. Terrick so let's stay on cloud a little bit. I mean, Altrix is undergoing a major transformation, big focus on the cloud. How does this cloud launch impact the partnership Terike from snowflakes perspective and then Barb, maybe, please add some color. >>Yeah, sure. Dave snowflake started as a cloud data platform. We saw our founders really saw the challenges that customers are having with becoming data-driven. And the biggest challenge was the complexity of having a managed infrastructure to even be able to, to get applications off the ground. And so we created something to be Claudia. We created to be a SAS managed service. So now that that Altrix is moving into the same model, right? A cloud platform, a SAS managed service, we're just, we're just removing more of the friction. So we're going to be able to start to package these end to end solutions that are SAS based that are fully managed. So customers can, can go faster. They don't have to worry about all of the underlying complexities of, of, of stitching things together. Right? So, so that's, what's exciting from my viewpoint >>And I'll follow up. So as you said, we're investing heavily in the cloud a year ago, we had to pray desktop products. And today we have four cloud products with cloud. We can provide our users with more flexibility. We want to make it easier for the users to leverage their snowflake data in the Alteryx platform, whether they're using our beloved on-premise solution or the new cloud products, we're committed to that continued investment in the cloud, enabling our joint partner solutions to meet customer requirements, wherever they store their data. And we're working with snowflake, we're doing just that. So as customers look for a modern analytic stack, they expect that data to be easily accessible, right within a fast, secure and scalable platform. And the launch of our cloud strategy is a huge leap forward in making Altrix more widely accessible to all users in all types of roles, our GSI and our solution provider partners have asked for these cloud capabilities at scale, and they're excited to better support our customers cloud and analytic ambitions. >>How about you go to market strategy? How would you describe your joint go to market strategy with snowflake? >>Sure. It's simple. We've got to work backwards from our customer's challenges, right? Driving transformation to solve problems, games agencies, or help them save money. So whether it's with snowflake or other GSI, other partner types, we've outlined a joint journey together from recruit solution development, activation enablement, and then strengthening our go to market strategies to optimize our results together. We launched an updated partner program and within that framework, we've created new benefits for our partners around opportunity registration, new role based enablement and training, basically extending everything we do internally for our own go-to-market teams to our partners. We're offering partner, marketing resources and funding to reach new customers together. And as a matter of fact, we recently launched a fantastic video with snowflake. I love this video that very simply describes the path to insights starting with your snowflake data. Right? We do joint customer webinars. We're working on joint hands-on labs and have a wonderful landing page with a lot of assets for our customers. Once we have an interested customer, we engage our respective account managers, collaborating through questions, proof of concepts really showcasing the desired outcome. And when you combine that with our partners technology or domain expertise, it's quite powerful, >>Tara, how do you see it? You'd go to market strategy. >>Yeah. Dave we've. So we initially started selling, we initially sold snowflake as technology, right? Looking at positioning the diff the architectural differentiators and the scale and concurrency. And we noticed as we got up into the larger enterprise customers, we were starting to see how do they solve their business problems using the technology, as well as them coming to us and saying, look, we want to also know how do you, how do you continue to map back to the specific prescriptive business problems we're having? And so we shifted to an industry focus last year, and this is an area where Ultrix has been mature for probably since their inception selling to the line of business, right? Having prescriptive use cases that are particular to an industry like financial services, like retail, like healthcare and life sciences. And so mark talked about these, these starter kits where it's prescriptive, you've got a demo and a way that customers can get off the ground and running, right? >>Because we want to be able to shrink that time to market, the time to value that customers can watch these applications. And we want to be able to, to, to tell them specifically how we can map back to their business initiatives. So I see a huge opportunity to align on these industry solutions. As BARR mentioned, we're already doing that where we've released a few around financial services working on healthcare and retail as well. So that is going to be a way for us to allow customers to go even faster and start to map to lines of business with Altryx >>Great. Thanks Derek, Bob, what can we expect if we're observing this relationship? What should we look for in the coming year? >>A lot specifically with snowflake, we'll continue to invest in the partnership. We're co innovators in this journey, including snow park extensibility efforts, which Derek will tell you more about shortly. We're also launching these great news strategic solution blueprints, and extending that at no charge to our partners with snowflake, we're already collaborating with their retail and CPG team for industry blueprints. We're working with their data marketplace team to highlight solutions, working with that data in their marketplace. More broadly, as I mentioned, we're relaunching the alternative partner program designed to really better support the unique partner types in our global ecosystem, introducing new benefits so that with every partner, achievement or investment with ultra we're providing our partners with earlier access to benefits, I could talk about our program for 30 minutes. I know we don't have time, but the key message here Alteryx is investing in our partner community across the business, recognizing the incredible value that they bring to our customers every day. >>Great Tarik. We'll give you the last word. What should we be looking for from, >>Yeah. Thanks. Thanks, Dave. As BARR mentioned, Ultrix has been the forefront of innovating with us. They've been integrating into making sure again, that customers get the full investment out of snowflake things like in database push down that I talked about before, but extensibility is really what we're excited about. The ability for Altrix to plug into this extensibility framework that we call snow park and to be able to extend out ways that the end users can consume snowflake through, through sequel, which has traditionally been the way that you consume snowflake as well as Java and Scala now Python. So we're excited about those, those capabilities. And then we're also excited about the ability to plug into the data marketplace to provide third party data sets, right? If they're PI day sets and in financial services, third party, data sets and retail. So now customers can build their data applications from end to end using ultrasound snowflake when the comprehensive 360 view of their customers, of their partners, of even their employees. Right. I think it's exciting to see what we're going to be able to do together with these upcoming innovations. >>Great stuff, Bob, Derek, thanks so much for coming on the program. Got to leave it right there in a moment. I'll be back with some closing thoughts in summary, don't go away.

Published Date : Mar 1 2022

SUMMARY :

We're now moving into the eco systems segment the power of many Good to So cloud migration, it's one of the hottest topics. on snowflake to consolidate data across systems into one data cloud with Altryx business the partnership, maybe a little bit about the history, you know, what are the critical aspects that we should really focus And to do that, we completed a rigorous third party helping customers to get going more easily with an Alteryx and snowflake solution. So customers can, can leverage that elastic platform, that being the snowflake data cloud with one of the problems that you guys solved early on, but what are some of the common challenges or patterns or trends to data and everyone can do something with data, it's going to make them competitively, give them a competitive advantage So they can cater to both the everyday business user, And so with Altryx is we're working on third-party big focus on the cloud. So now that that Altrix is moving into the same model, And today we have four cloud products with cloud. the path to insights starting with your snowflake data. You'd go to market strategy. And so we shifted to an industry focus customers to go even faster and start to map to lines of business with Altryx What should we look for in the coming year? blueprints, and extending that at no charge to our partners with snowflake, we're already collaborating with What should we be looking for from, excited about the ability to plug into the data marketplace to provide third party data sets, Got to leave it right there in a moment.

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Accelerating Automated Analytics in the Cloud with Alteryx


 

>>Alteryx is a company with a long history that goes all the way back to the late 1990s. Now the one consistent theme over 20 plus years has been that Ultrix has always been a data company early in the big data and Hadoop cycle. It saw the need to combine and prep different data types so that organizations could analyze data and take action Altrix and similar companies played a critical role in helping companies become data-driven. The problem was the decade of big data, brought a lot of complexities and required immense skills just to get the technology to work as advertised this in turn limited, the pace of adoption and the number of companies that could really lean in and take advantage of the cloud began to change all that and set the foundation for today's theme to Zuora of digital transformation. We hear that phrase a ton digital transformation. >>People used to think it was a buzzword, but of course we learned from the pandemic that if you're not a digital business, you're out of business and a key tenant of digital transformation is democratizing data, meaning enabling, not just hypo hyper specialized experts, but anyone business users to put data to work. Now back to Ultrix, the company has embarked on a major transformation of its own. Over the past couple of years, brought in new management, they've changed the way in which it engaged with customers with the new subscription model and it's topgraded its talent pool. 2021 was even more significant because of two acquisitions that Altrix made hyper Ana and trifecta. Why are these acquisitions important? Well, traditionally Altryx sold to business analysts that were part of the data pipeline. These were fairly technical people who had certain skills and were trained in things like writing Python code with hyper Ana Altryx has added a new persona, the business user, anyone in the business who wanted to gain insights from data and, or let's say use AI without having to be a deep technical expert. >>And then Trifacta a company started in the early days of big data by cube alum, Joe Hellerstein and his colleagues at Berkeley. They knocked down the data engineering persona, and this gives Altryx a complimentary extension into it where things like governance and security are paramount. So as we enter 2022, the post isolation economy is here and we do so with a digital foundation built on the confluence of cloud native technologies, data democratization and machine intelligence or AI, if you prefer. And Altryx is entering that new era with an expanded portfolio, new go-to market vectors, a recurring revenue business model, and a brand new outlook on how to solve customer problems and scale a company. My name is Dave Vellante with the cube and I'll be your host today. And the next hour, we're going to explore the opportunities in this new data market. And we have three segments where we dig into these trends and themes. First we'll talk to Jay Henderson, vice president of product management at Ultrix about cloud acceleration and simplifying complex data operations. Then we'll bring in Suresh Vetol who's the chief product officer at Altrix and Adam Wilson, the CEO of Trifacta, which of course is now part of Altrix. And finally, we'll hear about how Altryx is partnering with snowflake and the ecosystem and how they're integrating with data platforms like snowflake and what this means for customers. And we may have a few surprises sprinkled in as well into the conversation let's get started. >>We're kicking off the program with our first segment. Jay Henderson is the vice president of product management Altryx and we're going to talk about the trends and data, where we came from, how we got here, where we're going. We get some launch news. Well, Jay, welcome to the cube. >>Great to be here, really excited to share some of the things we're working on. >>Yeah. Thank you. So look, you have a deep product background, product management, product marketing, you've done strategy work. You've been around software and data, your entire career, and we're seeing the collision of software data cloud machine intelligence. Let's start with the customer and maybe we can work back from there. So if you're an analytics or data executive in an organization, w J what's your north star, where are you trying to take your company from a data and analytics point of view? >>Yeah, I mean, you know, look, I think all organizations are really struggling to get insights out of their data. I think one of the things that we see is you've got digital exhaust, creating large volumes of data storage is really cheap, so it doesn't cost them much to keep it. And that results in a situation where the organization's, you know, drowning in data, but somehow still starving for insights. And so I think, uh, you know, when I talk to customers, they're really excited to figure out how they can put analytics in the hands of every single person in their organization, and really start to democratize the analytics, um, and, you know, let the, the business users and the whole organization get value out of all that data they have. >>And we're going to dig into that throughout this program data, I like to say is plentiful insights, not always so much. Tell us about your launch today, Jay, and thinking about the trends that you just highlighted, the direction that your customers want to go and the problems that you're solving, what role does the cloud play in? What is what you're launching? How does that fit in? >>Yeah, we're, we're really excited today. We're launching the Altryx analytics cloud. That's really a portfolio of cloud-based solutions that have all been built from the ground up to be cloud native, um, and to take advantage of things like based access. So that it's really easy to give anyone access, including folks on a Mac. Um, it, you know, it also lets you take advantage of elastic compute so that you can do, you know, in database processing and cloud native, um, solutions that are gonna scale to solve the most complex problems. So we've got a portfolio of solutions, things like designer cloud, which is our flagship designer product in a browser and on the cloud, but we've got ultra to machine learning, which helps up-skill regular old analysts with advanced machine learning capabilities. We've got auto insights, which brings a business users into the fold and automatically unearths insights using AI and machine learning. And we've got our latest edition, which is Trifacta that helps data engineers do data pipelining and really, um, you know, create a lot of the underlying data sets that are used in some of this, uh, downstream analytics. >>Let's dig into some of those roles if we could a little bit, I mean, you've traditionally Altryx has served the business analysts and that's what designer cloud is fit for, I believe. And you've explained, you know, kind of the scope, sorry, you've expanded that scope into the, to the business user with hyper Anna. And we're in a moment we're going to talk to Adam Wilson and Suresh, uh, about Trifacta and that recent acquisition takes you, as you said, into the data engineering space in it. But in thinking about the business analyst role, what's unique about designer cloud cloud, and how does it help these individuals? >>Yeah, I mean, you know, really, I go back to some of the feedback we've had from our customers, which is, um, you know, they oftentimes have dozens or hundreds of seats of our designer desktop product, you know, really, as they look to take the next step, they're trying to figure out how do I give access to that? Those types of analytics to thousands of people within the organization and designer cloud is, is really great for that. You've got the browser-based interface. So if folks are on a Mac, they can really easily just pop, open the browser and get access to all of those, uh, prep and blend capabilities to a lot of the analysis we're doing. Um, it's a great way to scale up access to the analytics and then start to put it in the hands of really anyone in the organization, not just those highly skilled power users. >>Okay, great. So now then you add in the hyper Anna acquisition. So now you're targeting the business user Trifacta comes into the mix that deeper it angle that we talked about, how does this all fit together? How should we be thinking about the new Altryx portfolio? >>Yeah, I mean, I think it's pretty exciting. Um, you know, when you think about democratizing analytics and providing access to all these different groups of people, um, you've not been able to do it through one platform before. Um, you know, it's not going to be one interface that meets the, of all these different groups within the organization. You really do need purpose built specialized capabilities for each group. And finally, today with the announcement of the alternates analytics cloud, we brought together all of those different capabilities, all of those different interfaces into a single in the end application. So really finally delivering on the promise of providing analytics to all, >>How much of this you've been able to share with your customers and maybe your partners. I mean, I know OD is fairly new, but if you've been able to get any feedback from them, what are they saying about it? >>Uh, I mean, it's, it's pretty amazing. Um, we ran a early access, limited availability program that led us put a lot of this technology in the hands of over 600 customers, um, over the last few months. So we have gotten a lot of feedback. I tell you, um, it's been overwhelmingly positive. I think organizations are really excited to unlock the insights that have been hidden in all this data. They've got, they're excited to be able to use analytics in every decision that they're making so that the decisions they have or more informed and produce better business outcomes. Um, and, and this idea that they're going to move from, you know, dozens to hundreds or thousands of people who have access to these kinds of capabilities, I think has been a really exciting thing that is going to accelerate the transformation that these customers are on. >>Yeah, those are good. Good, good numbers for, for preview mode. Let's, let's talk a little bit about vision. So it's democratizing data is the ultimate goal, which frankly has been elusive for most organizations over time. How's your cloud going to address the challenges of putting data to work across the entire enterprise? >>Yeah, I mean, I tend to think about the future and some of the investments we're making in our products and our roadmap across four big themes, you know, in the, and these are really kind of enduring themes that you're going to see us making investments in over the next few years, the first is having cloud centricity. You know, the data gravity has been moving to the cloud. We need to be able to provide access, to be able to ingest and manipulate that data, to be able to write back to it, to provide cloud solution. So the first one is really around cloud centricity. The second is around big data fluency. Once you have all of the data, you need to be able to manipulate it in a performant manner. So having the elastic cloud infrastructure and in database processing is so important, the third is around making AI a strategic advantage. >>So, uh, you know, getting everyone involved and accessing AI and machine learning to unlock those insights, getting it out of the hands of the small group of data scientists, putting it in the hands of analysts and business users. Um, and then the fourth thing is really providing access across the entire organization. You know, it and data engineers, uh, as well as business owners and analysts. So, um, cloud centricity, big data fluency, um, AI is a strategic advantage and, uh, personas across the organization are really the four big themes you're going to see us, uh, working on over the next few months and, uh, coming coming year. >>That's good. Thank you for that. So, so on a related question, how do you see the data organizations evolving? I mean, traditionally you've had, you know, monolithic organizations, uh, very specialized or I might even say hyper specialized roles and, and your, your mission of course is the customer. You, you, you, you and your customers, they want to democratize the data. And so it seems logical that domain leaders are going to take more responsibility for data, life cycles, data ownerships, low code becomes more important. And perhaps this kind of challenges, the historically highly centralized and really specialized roles that I just talked about. How do you see that evolving and, and, and what role will Altryx play? >>Yeah. Um, you know, I think we'll see sort of a more federated systems start to emerge. Those centralized groups are going to continue to exist. Um, but they're going to start to empower, you know, in a much more de-centralized way, the people who are closer to the business problems and have better business understanding. I think that's going to let the centralized highly skilled teams work on, uh, problems that are of higher value to the organization. The kinds of problems where one or 2% lift in the model results in millions of dollars a day for the business. And then by pushing some of the analytics out to, uh, closer to the edge and closer to the business, you'll be able to apply those analytics in every single decision. So I think you're going to see, you know, both the decentralized and centralized models start to work in harmony and a little bit more about almost a federated sort of a way. And I think, you know, the exciting thing for us at Altryx is, you know, we want to facilitate that. We want to give analytic capabilities and solutions to both groups and types of people. We want to help them collaborate better, um, and drive business outcomes with the analytics they're using. >>Yeah. I mean, I think my take on another one, if you could comment is to me, the technology should be an operational detail and it has been the, the, the dog that wags the tail, or maybe the other way around, you mentioned digital exhaust before. I mean, essentially it's digital exhaust coming out of operationals systems that then somehow, eventually end up in the hand of the domain users. And I wonder if increasingly we're going to see those domain users, users, those, those line of business experts get more access. That's your goal. And then even go beyond analytics, start to build data products that could be monetized, and that maybe it's going to take a decade to play out, but that is sort of a new era of data. Do you see it that way? >>Absolutely. We're actually making big investments in our products and capabilities to be able to create analytic applications and to enable somebody who's an analyst or business user to create an application on top of the data and analytics layers that they have, um, really to help democratize the analytics, to help prepackage some of the analytics that can drive more insights. So I think that's definitely a trend we're going to see more. >>Yeah. And to your point, if you can federate the governance and automate that, then that can happen. I mean, that's a key part of it, obviously. So, all right, Jay, we have to leave it there up next. We take a deep dive into the Altryx recent acquisition of Trifacta with Adam Wilson who led Trifacta for more than seven years. It's the recipe. Tyler is the chief product officer at Altryx to explain the rationale behind the acquisition and how it's going to impact customers. Keep it right there. You're watching the cube. You're a leader in enterprise tech coverage. >>It's go time, get ready to accelerate your data analytics journey with a unified cloud native platform. That's accessible for everyone on the go from home to office and everywhere in between effortless analytics to help you go from ideas to outcomes and no time. It's your time to shine. It's Altryx analytics cloud time. >>Okay. We're here with. Who's the chief product officer at Altryx and Adam Wilson, the CEO of Trifacta. Now of course, part of Altryx just closed this quarter. Gentlemen. Welcome. >>Great to be here. >>Okay. So let me start with you. In my opening remarks, I talked about Altrix is traditional position serving business analysts and how the hyper Anna acquisition brought you deeper into the business user space. What does Trifacta bring to your portfolio? Why'd you buy the company? >>Yeah. Thank you. Thank you for the question. Um, you know, we see, uh, we see a massive opportunity of helping, um, brands, um, democratize the use of analytics across their business. Um, every knowledge worker, every individual in the company should have access to analytics. It's no longer optional, um, as they navigate their businesses with that in mind, you know, we know designer and are the products that Altrix has been selling the past decade or so do a really great job, um, addressing the business analysts, uh, with, um, hyper Rana now kind of renamed, um, Altrix auto. We even speak with the business owner and the line of business owner. Who's looking for insights that aren't real in traditional dashboards and so on. Um, but we see this opportunity of really helping the data engineering teams and it organizations, um, to also make better use of analytics. Um, and that's where the drive factor comes in for us. Um, drive factor has the best data engineering cloud in the planet. Um, they have an established track record of working across multiple cloud platforms and helping data engineers, um, do better data pipelining and work better with, uh, this massive kind of cloud transformation that's happening in every business. Um, and so fact made so much sense for us. >>Yeah. Thank you for that. I mean, you, look, you could have built it yourself would have taken, you know, who knows how long, you know, but, uh, so definitely a great time to market move, Adam. I wonder if we could dig into Trifacta some more, I mean, I remember interviewing Joe Hellerstein in the early days. You've talked about this as well, uh, on the cube coming at the problem of taking data from raw refined to an experience point of view. And Joe in the early days, talked about flipping the model and starting with data visualization, something Jeff, her was expert at. So maybe explain how we got here. We used to have this cumbersome process of ETL and you may be in some others changed that model with ELL and then T explain how Trifacta really changed the data engineering game. >>Yeah, that's exactly right. Uh, David, it's been a really interesting journey for us because I think the original hypothesis coming out of the campus research, uh, at Berkeley and Stanford that really birth Trifacta was, you know, why is it that the people who know the data best can't do the work? You know, why is this become the exclusive purview of the highly technical? And, you know, can we rethink this and make this a user experience, problem powered by machine learning that will take some of the more complicated things that people want to do with data and really help to automate those. So, so a broader set of, of users can, um, can really see for themselves and help themselves. And, and I think that, um, there was a lot of pent up frustration out there because people have been told for, you know, for a decade now to be more data-driven and then the whole time they're saying, well, then give me the data, you know, in the shape that I could use it with the right level of quality and I'm happy to be, but don't tell me to be more data-driven and then, and, and not empower me, um, to, to get in there and to actually start to work with the data in meaningful ways. >>And so, um, that was really, you know, what, you know, the origin story of the company and I think is, as we, um, saw over the course of the last 5, 6, 7 years that, um, you know, uh, real, uh, excitement to embrace this idea of, of trying to think about data engineering differently, trying to democratize the, the ETL process and to also leverage all these exciting new, uh, engines and platforms that are out there that allow for processing, you know, ever more diverse data sets, ever larger data sets and new and interesting ways. And that's where a lot of the push-down or the ELT approaches that, you know, I think it could really won the day. Um, and that, and that for us was a hallmark of the solution from the very beginning. >>Yeah, this is a huge point that you're making is, is first of all, there's a large business, it's probably about a hundred billion dollar Tam. Uh, and the, the point you're making, because we've looked, we've contextualized most of our operational systems, but the big data pipeline is hasn't gotten there. But, and maybe we could talk about that a little bit because democratizing data is Nirvana, but it's been historically very difficult. You've got a number of companies it's very fragmented and they're all trying to attack their little piece of the problem to achieve an outcome, but it's been hard. And so what's going to be different about Altryx as you bring these puzzle pieces together, how is this going to impact your customers who would like to take that one? >>Yeah, maybe, maybe I'll take a crack at it. And Adam will, um, add on, um, you know, there hasn't been a single platform for analytics, automation in the enterprise, right? People have relied on, uh, different products, um, to solve kind of, uh, smaller problems, um, across this analytics, automation, data transformation domain. Um, and, um, I think uniquely Alcon's has that opportunity. Uh, we've got 7,000 plus customers who rely on analytics for, um, data management, for analytics, for AI and ML, uh, for transformations, uh, for reporting and visualization for automated insights and so on. Um, and so by bringing drive factor, we have the opportunity to scale this even further and solve for more use cases, expand the scenarios where it's applied and so multiple personas. Um, and we just talked about the data engineers. They are really a growing stakeholder in this transformation of data and analytics. >>Yeah, good. Maybe we can stay on this for a minute cause you, you you're right. You bring it together. Now at least three personas the business analyst, the end user slash business user. And now the data engineer, which is really out of an it role in a lot of companies, and you've used this term, the data engineering cloud, what is that? How is it going to integrate in with, or support these other personas? And, and how's it going to integrate into the broader ecosystem of clouds and cloud data warehouses or any other data stores? >>Yeah, no, that's great. Uh, yeah, I think for us, we really looked at this and said, you know, we want to build an open and interactive cloud platform for data engineers, you know, to collaboratively profile pipeline, um, and prepare data for analysis. And that really meant collaborating with the analysts that were in the line of business. And so this is why a big reason why this combination is so magic because ultimately if we can get the data engineers that are creating the data products together with the analysts that are in the line of business that are driving a lot of the decision making and allow for that, what I would describe as collaborative curation of the data together, so that you're starting to see, um, uh, you know, increasing returns to scale as this, uh, as this rolls out. I just think that is an incredibly powerful combination and, and frankly, something that the market is not crack the code on yet. And so, um, I think when we, when I sat down with Suresh and with mark and the team at Ultrix, that was really part of the, the, the big idea, the big vision that was painted and got us really energized about the acquisition and about the potential of the combination. >>And you're really, you're obviously writing the cloud and the cloud native wave. Um, and, but specifically we're seeing, you know, I almost don't even want to call it a data warehouse anyway, because when you look at what's, for instance, Snowflake's doing, of course their marketing is around the data cloud, but I actually think there's real justification for that because it's not like the traditional data warehouse, right. It's, it's simplified get there fast, don't necessarily have to go through the central organization to share data. Uh, and, and, and, but it's really all about simplification, right? Isn't that really what the democratization comes down to. >>Yeah. It's simplification and collaboration. Right. I don't want to, I want to kind of just what Adam said resonates with me deeply. Um, analytics is one of those, um, massive disciplines inside an enterprise that's really had the weakest of tools. Um, and we just have interfaces to collaborate with, and I think truly this was all drinks and a superpower was helping the analysts get more out of their data, get more out of the analytics, like imagine a world where these people are collaborating and sharing insights in real time and sharing workflows and getting access to new data sources, um, understanding data models better, I think, um, uh, curating those insights. I boring Adam's phrase again. Um, I think that creates a real value inside the organization because frankly in scaling analytics and democratizing analytics and data, we're still in such early phases of this journey. >>So how should we think about designer cloud, which is from Altrix it's really been the on-prem and the server desktop offering. And of course Trifacta is with cloud cloud data warehouses. Right. Uh, how, how should we think about those two products? Yeah, >>I think, I think you should think about them. And, uh, um, as, as very complimentary right designer cloud really shares a lot of DNA and heritage with, uh, designer desktop, um, the low code tooling and that interface, uh, the really appeals to the business analysts, um, and gets a lot of the things that they do well, we've also built it with interoperability in mind, right. So if you started building your workflows in designer desktop, you want to share that with design and cloud, we want to make it super easy for you to do that. Um, and I think over time now we're only a week into, um, this Alliance with, um, with, um, Trifacta, um, I think we have to get deeper inside to think about what does the data engineer really need? What's the business analysts really need and how to design a cloud, and Trifacta really support both of those requirements, uh, while kind of continue to build on the trifecta on the amazing Trifacta cloud platform. >>You know, >>I think we're just going to say, I think that's one of the things that, um, you know, creates a lot of, uh, opportunity as we go forward, because ultimately, you know, Trifacta took a platform, uh, first mentality to everything that we built. So thinking about openness and extensibility and, um, and how over time people could build things on top of factor that are a variety of analytic tool chain, or analytic applications. And so, uh, when you think about, um, Ultrix now starting to, uh, to move some of its capabilities or to provide additional capabilities, uh, in the cloud, um, you know, Trifacta becomes a platform that can accelerate, you know, all of that work and create, uh, uh, a cohesive set of, of cloud-based services that, um, share a common platform. And that maintains independence because both companies, um, have been, uh, you know, fiercely independent, uh, and, and really giving people choice. >>Um, so making sure that whether you're, uh, you know, picking one cloud platform and other, whether you're running things on the desktop, uh, whether you're running in hybrid environments, that, um, no matter what your decision, um, you're always in a position to be able to get out your data. You're always in a position to be able to cleanse transform shape structure, that data, and ultimately to deliver, uh, the analytics that you need. And so I think in that sense, um, uh, you know, this, this again is another reason why the combination, you know, fits so well together, giving people, um, the choice. Um, and as they, as they think about their analytics strategy and their platform strategy going forward, >>Yeah. I make a chuckle, but one of the reasons I always liked Altrix is cause you kinda did the little end run on it. It can be a blocker sometimes, but that created problems, right? Because the organization said, wow, this big data stuff has taken off, but we need security. We need governance. And it's interesting because you've got, you know, ETL has been complex, whereas the visualization tools, they really, you know, really weren't great at governance and security. It took some time there. So that's not, not their heritage. You're bringing those worlds together. And I'm interested, you guys just had your sales kickoff, you know, what was their reaction like? Uh, maybe Suresh, you could start off and maybe Adam, you could bring us home. >>Um, thanks for asking about our sales kickoff. So we met for the first time and you've got a two years, right. For, as, as it is for many of us, um, in person, uh, um, which I think was a, was a real breakthrough as Qualtrics has been on its transformation journey. Uh, we added a Trifacta to, um, the, the potty such as the tour, um, and getting all of our sales teams and product organizations, um, to meet in person in one location. I thought that was very powerful for other the company. Uh, but then I tell you, um, um, the reception for Trifacta was beyond anything I could have imagined. Uh, we were working out him and I will, when he's so hot on, on the deal and the core hypotheses and so on. And then you step back and you're going to share the vision with the field organization, and it blows you away, the energy that it creates among our sellers out of partners. >>And I'm sure Madam will and his team were mocked, um, every single day, uh, with questions and opportunities to bring them in. But Adam, maybe you should share. Yeah, no, it was, uh, it was through the roof. I mean, uh, uh, the, uh, the amount of energy, the, uh, certainly how welcoming everybody was, uh, uh, you know, just, I think the story makes so much sense together. I think culturally, the company is, are very aligned. Um, and, uh, it was a real, uh, real capstone moment, uh, to be able to complete the acquisition and to, and to close and announced, you know, at the kickoff event. And, um, I think, you know, for us, when we really thought about it, you know, when we ended, the story that we told was just, you have this opportunity to really cater to what the end users care about, which is a lot about interactivity and self-service, and at the same time. >>And that's, and that's a lot of the goodness that, um, that Altryx is, has brought, you know, through, you know, you know, years and years of, of building a very vibrant community of, you know, thousands, hundreds of thousands of users. And on the other side, you know, Trifacta bringing in this data engineering focus, that's really about, uh, the governance things that you mentioned and the openness, um, that, that it cares deeply about. And all of a sudden, now you have a chance to put that together into a complete story where the data engineering cloud and analytics, automation, you know, coming together. And, um, and I just think, you know, the lights went on, um, you know, for people instantaneously and, you know, this is a story that, um, that I think the market is really hungry for. And certainly the reception we got from, uh, from the broader team at kickoff was, uh, was a great indication. >>Well, I think the story hangs together really well, you know, one of the better ones I've seen in, in this space, um, and, and you guys coming off a really, really strong quarter. So congratulations on that jets. We have to leave it there. I really appreciate your time today. Yeah. Take a look at this short video. And when we come back, we're going to dig into the ecosystem and the integration into cloud data warehouses and how leading organizations are creating modern data teams and accelerating their digital businesses. You're watching the cube you're leader in enterprise tech coverage. >>This is your data housed neatly insecurely in the snowflake data cloud. And all of it has potential the potential to solve complex business problems, deliver personalized financial offerings, protect supply chains from disruption, cut costs, forecast, grow and innovate. All you need to do is put your data in the hands of the right people and give it an opportunity. Luckily for you. That's the easy part because snowflake works with Alteryx and Alteryx turns data into breakthroughs with just a click. Your organization can automate analytics with drag and drop building blocks, easily access snowflake data with both sequel and no SQL options, share insights, powered by Alteryx data science and push processing to snowflake for lightning, fast performance, you get answers you can put to work in your teams, get repeatable processes they can share in that's exciting because not only is your data no longer sitting around in silos, it's also mobilized for the next opportunity. Turn your data into a breakthrough Alteryx and snowflake >>Okay. We're back here in the queue, focusing on the business promise of the cloud democratizing data, making it accessible and enabling everyone to get value from analytics, insights, and data. We're now moving into the eco systems segment the power of many versus the resources of one. And we're pleased to welcome. Barb Hills camp was the senior vice president partners and alliances at Ultrix and a special guest Terek do week head of technology alliances at snowflake folks. Welcome. Good to see you. >>Thank you. Thanks for having me. Good to see >>Dave. Great to see you guys. So cloud migration, it's one of the hottest topics. It's the top one of the top initiatives of senior technology leaders. We have survey data with our partner ETR it's number two behind security, and just ahead of analytics. So we're hovering around all the hot topics here. Barb, what are you seeing with respect to customer, you know, cloud migration momentum, and how does the Ultrix partner strategy fit? >>Yeah, sure. Partners are central company's strategy. They always have been. We recognize that our partners have deep customer relationships. And when you connect that with their domain expertise, they're really helping customers on their cloud and business transformation journey. We've been helping customers achieve their desired outcomes with our partner community for quite some time. And our partner base has been growing an average of 30% year over year, that partner community and strategy now addresses several kinds of partners, spanning solution providers to global SIS and technology partners, such as snowflake and together, we help our customers realize the business promise of their journey to the cloud. Snowflake provides a scalable storage system altereds provides the business user friendly front end. So for example, it departments depend on snowflake to consolidate data across systems into one data cloud with Altryx business users can easily unlock that data in snowflake solving real business outcomes. Our GSI and solution provider partners are instrumental in providing that end to end benefit of a modern analytic stack in the cloud providing platform, guidance, deployment, support, and other professional services. >>Great. Let's get a little bit more into the relationship between Altrix and S in snowflake, the partnership, maybe a little bit about the history, you know, what are the critical aspects that we should really focus on? Barb? Maybe you could start an Interra kindly way in as well. >>Yeah, so the relationship started in 2020 and all shirts made a big bag deep with snowflake co-innovating and optimizing cloud use cases together. We are supporting customers who are looking for that modern analytic stack to replace an old one or to implement their first analytic strategy. And our joint customers want to self-serve with data-driven analytics, leveraging all the benefits of the cloud, scalability, accessibility, governance, and optimizing their costs. Um, Altrix proudly achieved. Snowflake's highest elite tier in their partner program last year. And to do that, we completed a rigorous third party testing process, which also helped us make some recommended improvements to our joint stack. We wanted customers to have confidence. They would benefit from high quality and performance in their investment with us then to help customers get the most value out of the destroyed solution. We developed two great assets. One is the officer starter kit for snowflake, and we coauthored a joint best practices guide. >>The starter kit contains documentation, business workflows, and videos, helping customers to get going more easily with an altered since snowflake solution. And the best practices guide is more of a technical document, bringing together experiences and guidance on how Altryx and snowflake can be deployed together. Internally. We also built a full enablement catalog resources, right? We wanted to provide our account executives more about the value of the snowflake relationship. How do we engage and some best practices. And now we have hundreds of joint customers such as Juniper and Sainsbury who are actively using our joint solution, solving big business problems much faster. >>Cool. Kara, can you give us your perspective on the partnership? >>Yeah, definitely. Dave, so as Barb mentioned, we've got this standing very successful partnership going back years with hundreds of happy joint customers. And when I look at the beginning, Altrix has helped pioneer the concept of self-service analytics, especially with use cases that we worked on with for, for data prep for BI users like Tableau and as Altryx has evolved to now becoming from data prep to now becoming a full end to end data science platform. It's really opened up a lot more opportunities for our partnership. Altryx has invested heavily over the last two years in areas of deep integration for customers to fully be able to expand their investment, both technologies. And those investments include things like in database pushed down, right? So customers can, can leverage that elastic platform, that being the snowflake data cloud, uh, with Alteryx orchestrating the end to end machine learning workflows Alteryx also invested heavily in snow park, a feature we released last year around this concept of data programmability. So all users were regardless of their business analysts, regardless of their data, scientists can use their tools of choice in order to consume and get at data. And now with Altryx cloud, we think it's going to open up even more opportunities. It's going to be a big year for the partnership. >>Yeah. So, you know, Terike, we we've covered snowflake pretty extensively and you initially solve what I used to call the, I still call the snake swallowing the basketball problem and cloud data warehouse changed all that because you had virtually infinite resources, but so that's obviously one of the problems that you guys solved early on, but what are some of the common challenges or patterns or trends that you see with snowflake customers and where does Altryx come in? >>Sure. Dave there's there's handful, um, that I can come up with today, the big challenges or trends for us, and Altrix really helps us across all of them. Um, there are three particular ones I'm going to talk about the first one being self-service analytics. If we think about it, every organization is trying to democratize data. Every organization wants to empower all their users, business users, um, you know, the, the technology users, but the business users, right? I think every organization has realized that if everyone has access to data and everyone can do something with data, it's going to make them competitively, give them a competitive advantage with Altrix is something we share that vision of putting that power in the hands of everyday users, regardless of the skillsets. So, um, with self-service analytics, with Ultrix designer they've they started out with self-service analytics as the forefront, and we're just scratching the surface. >>I think there was an analyst, um, report that shows that less than 20% of organizations are truly getting self-service analytics to their end users. Now, with Altryx going to Ultrix cloud, we think that's going to be a huge opportunity for us. Um, and then that opens up the second challenge, which is machine learning and AI, every organization is trying to get predictive analytics into every application that they have in order to be competitive in order to be competitive. Um, and with Altryx creating this platform so they can cater to both the everyday business user, the quote unquote, citizen data scientists, and making a code friendly for data scientists to be able to get at their notebooks and all the different tools that they want to use. Um, they fully integrated in our snow park platform, which I talked about before, so that now we get an end to end solution caring to all, all lines of business. >>And then finally this concept of data marketplaces, right? We, we created snowflake from the ground up to be able to solve the data sharing problem, the big data problem, the data sharing problem. And Altryx um, if we look at mobilizing your data, getting access to third-party datasets, to enrich with your own data sets, to enrich with, um, with your suppliers and with your partners, data sets, that's what all customers are trying to do in order to get a more comprehensive 360 view, um, within their, their data applications. And so with Altryx alterations, we're working on third-party data sets and marketplaces for quite some time. Now we're working on how do we integrate what Altrix is providing with the snowflake data marketplace so that we can enrich these workflows, these great, great workflows that Altrix writing provides. Now we can add third party data into that workflow. So that opens up a ton of opportunities, Dave. So those are three I see, uh, easily that we're going to be able to solve a lot of customer challenges with. >>So thank you for that. Terrick so let's stay on cloud a little bit. I mean, Altrix is undergoing a major transformation, big focus on the cloud. How does this cloud launch impact the partnership Terike from snowflakes perspective and then Barb, maybe, please add some color. >>Yeah, sure. Dave snowflake started as a cloud data platform. We saw our founders really saw the challenges that customers are having with becoming data-driven. And the biggest challenge was the complexity of having imagine infrastructure to even be able to do it, to get applications off the ground. And so we created something to be cloud-native. We created to be a SAS managed service. So now that that Altrix is moving to the same model, right? A cloud platform, a SAS managed service, we're just, we're just removing more of the friction. So we're going to be able to start to package these end to end solutions that are SAS based that are fully managed. So customers can, can go faster and they don't have to worry about all of the underlying complexities of, of, of stitching things together. Right? So, um, so that's, what's exciting from my viewpoint >>And I'll follow up. So as you said, we're investing heavily in the cloud a year ago, we had two pre desktop products, and today we have four cloud products with cloud. We can provide our users with more flexibility. We want to make it easier for the users to leverage their snowflake data in the Alteryx platform, whether they're using our beloved on-premise solution or the new cloud products were committed to that continued investment in the cloud, enabling our joint partner solutions to meet customer requirements, wherever they store their data. And we're working with snowflake, we're doing just that. So as customers look for a modern analytic stack, they expect that data to be easily accessible, right within a fast, secure and scalable platform. And the launch of our cloud strategy is a huge leap forward in making Altrix more widely accessible to all users in all types of roles, our GSI and our solution provider partners have asked for these cloud capabilities at scale, and they're excited to better support our customers, cloud and analytic >>Are. How about you go to market strategy? How would you describe your joint go to market strategy with snowflake? >>Sure. It's simple. We've got to work backwards from our customer's challenges, right? Driving transformation to solve problems, gain efficiencies, or help them save money. So whether it's with snowflake or other GSI, other partner types, we've outlined a joint journey together from recruit solution development, activation enablement, and then strengthening our go to market strategies to optimize our results together. We launched an updated partner program and within that framework, we've created new benefits for our partners around opportunity registration, new role based enablement and training, basically extending everything we do internally for our own go-to-market teams to our partners. We're offering partner, marketing resources and funding to reach new customers together. And as a matter of fact, we recently launched a fantastic video with snowflake. I love this video that very simply describes the path to insights starting with your snowflake data. Right? We do joint customer webinars. We're working on joint hands-on labs and have a wonderful landing page with a lot of assets for our customers. Once we have an interested customer, we engage our respective account managers, collaborating through discovery questions, proof of concepts really showcasing the desired outcome. And when you combine that with our partners technology or domain expertise, it's quite powerful, >>Dark. How do you see it? You'll go to market strategy. >>Yeah. Dave we've. Um, so we initially started selling, we initially sold snowflake as technology, right? Uh, looking at positioning the diff the architectural differentiators and the scale and concurrency. And we noticed as we got up into the larger enterprise customers, we're starting to see how do they solve their business problems using the technology, as well as them coming to us and saying, look, we want to also know how do you, how do you continue to map back to the specific prescriptive business problems we're having? And so we shifted to an industry focus last year, and this is an area where Altrix has been mature for probably since their inception selling to the line of business, right? Having prescriptive use cases that are particular to an industry like financial services, like retail, like healthcare and life sciences. And so, um, Barb talked about these, these starter kits where it's prescriptive, you've got a demo and, um, a way that customers can get off the ground and running, right? >>Cause we want to be able to shrink that time to market, the time to value that customers can watch these applications. And we want to be able to, to tell them specifically how we can map back to their business initiatives. So I see a huge opportunity to align on these industry solutions. As BARR mentioned, we're already doing that where we've released a few around financial services working in healthcare and retail as well. So that is going to be a way for us to allow customers to go even faster and start to map two lines of business with Alteryx. >>Great. Thanks Derek. Bob, what can we expect if we're observing this relationship? What should we look for in the coming year? >>A lot specifically with snowflake, we'll continue to invest in the partnership. Uh, we're co innovators in this journey, including snow park extensibility efforts, which Derek will tell you more about shortly. We're also launching these great news strategic solution blueprints, and extending that at no charge to our partners with snowflake, we're already collaborating with their retail and CPG team for industry blueprints. We're working with their data marketplace team to highlight solutions, working with that data in their marketplace. More broadly, as I mentioned, we're relaunching the ultra partner program designed to really better support the unique partner types in our global ecosystem, introducing new benefits so that with every partner, achievement or investment with ultra score, providing our partners with earlier access to benefits, um, I could talk about our program for 30 minutes. I know we don't have time. The key message here Alteryx is investing in our partner community across the business, recognizing the incredible value that they bring to our customers every day. >>Tarik will give you the last word. What should we be looking for from, >>Yeah, thanks. Thanks, Dave. As BARR mentioned, Altrix has been the forefront of innovating with us. They've been integrating into, uh, making sure again, that customers get the full investment out of snowflake things like in database push down that I talked about before that extensibility is really what we're excited about. Um, the ability for Ultrix to plug into this extensibility framework that we call snow park and to be able to extend out, um, ways that the end users can consume snowflake through, through sequel, which has traditionally been the way that you consume snowflake as well as Java and Scala, not Python. So we're excited about those, those capabilities. And then we're also excited about the ability to plug into the data marketplace to provide third party data sets, right there probably day sets in, in financial services, third party, data sets and retail. So now customers can build their data applications from end to end using ultrasound snowflake when the comprehensive 360 view of their customers, of their partners, of even their employees. Right? I think it's exciting to see what we're going to be able to do together with these upcoming innovations. Great >>Barb Tara, thanks so much for coming on the program, got to leave it right there in a moment, I'll be back with some closing thoughts in a summary, don't go away. >>1200 hours of wind tunnel testing, 30 million race simulations, 2.4 second pit stops make that 2.3. The sector times out the wazoo, whites are much of this velocity's pressures, temperatures, 80,000 components generating 11.8 billion data points and one analytics platform to make sense of it all. When McLaren needs to turn complex data into insights, they turn to Altryx Qualtrics analytics, automation, >>Okay, let's summarize and wrap up the session. We can pretty much agree the data is plentiful, but organizations continue to struggle to get maximum value out of their data investments. The ROI has been elusive. There are many reasons for that complexity data, trust silos, lack of talent and the like, but the opportunity to transform data operations and drive tangible value is immense collaboration across various roles. And disciplines is part of the answer as is democratizing data. This means putting data in the hands of those domain experts that are closest to the customer and really understand where the opportunity exists and how to best address them. We heard from Jay Henderson that we have all this data exhaust and cheap storage. It allows us to keep it for a long time. It's true, but as he pointed out that doesn't solve the fundamental problem. Data is spewing out from our operational systems, but much of it lacks business context for the data teams chartered with analyzing that data. >>So we heard about the trend toward low code development and federating data access. The reason this is important is because the business lines have the context and the more responsibility they take for data, the more quickly and effectively organizations are going to be able to put data to work. We also talked about the harmonization between centralized teams and enabling decentralized data flows. I mean, after all data by its very nature is distributed. And importantly, as we heard from Adam Wilson and Suresh Vittol to support this model, you have to have strong governance and service the needs of it and engineering teams. And that's where the trifecta acquisition fits into the equation. Finally, we heard about a key partnership between Altrix and snowflake and how the migration to cloud data warehouses is evolving into a global data cloud. This enables data sharing across teams and ecosystems and vertical markets at massive scale all while maintaining the governance required to protect the organizations and individuals alike. >>This is a new and emerging business model that is very exciting and points the way to the next generation of data innovation in the coming decade. We're decentralized domain teams get more facile access to data. Self-service take more responsibility for quality value and data innovation. While at the same time, the governance security and privacy edicts of an organization are centralized in programmatically enforced throughout an enterprise and an external ecosystem. This is Dave Volante. All these videos are available on demand@theqm.net altrix.com. Thanks for watching accelerating automated analytics in the cloud made possible by Altryx. And thanks for watching the queue, your leader in enterprise tech coverage. We'll see you next time.

Published Date : Mar 1 2022

SUMMARY :

It saw the need to combine and prep different data types so that organizations anyone in the business who wanted to gain insights from data and, or let's say use AI without the post isolation economy is here and we do so with a digital We're kicking off the program with our first segment. So look, you have a deep product background, product management, product marketing, And that results in a situation where the organization's, you know, the direction that your customers want to go and the problems that you're solving, what role does the cloud and really, um, you know, create a lot of the underlying data sets that are used in some of this, into the, to the business user with hyper Anna. of our designer desktop product, you know, really, as they look to take the next step, comes into the mix that deeper it angle that we talked about, how does this all fit together? analytics and providing access to all these different groups of people, um, How much of this you've been able to share with your customers and maybe your partners. Um, and, and this idea that they're going to move from, you know, So it's democratizing data is the ultimate goal, which frankly has been elusive for most You know, the data gravity has been moving to the cloud. So, uh, you know, getting everyone involved and accessing AI and machine learning to unlock seems logical that domain leaders are going to take more responsibility for data, And I think, you know, the exciting thing for us at Altryx is, you know, we want to facilitate that. the tail, or maybe the other way around, you mentioned digital exhaust before. the data and analytics layers that they have, um, really to help democratize the We take a deep dive into the Altryx recent acquisition of Trifacta with Adam Wilson It's go time, get ready to accelerate your data analytics journey the CEO of Trifacta. serving business analysts and how the hyper Anna acquisition brought you deeper into the with that in mind, you know, we know designer and are the products And Joe in the early days, talked about flipping the model that really birth Trifacta was, you know, why is it that the people who know the data best can't And so, um, that was really, you know, what, you know, the origin story of the company but the big data pipeline is hasn't gotten there. um, you know, there hasn't been a single platform for And now the data engineer, which is really And so, um, I think when we, when I sat down with Suresh and with mark and the team and, but specifically we're seeing, you know, I almost don't even want to call it a data warehouse anyway, Um, and we just have interfaces to collaborate And of course Trifacta is with cloud cloud data warehouses. What's the business analysts really need and how to design a cloud, and Trifacta really support both in the cloud, um, you know, Trifacta becomes a platform that can You're always in a position to be able to cleanse transform shape structure, that data, and ultimately to deliver, And I'm interested, you guys just had your sales kickoff, you know, what was their reaction like? And then you step back and you're going to share the vision with the field organization, and to close and announced, you know, at the kickoff event. And certainly the reception we got from, Well, I think the story hangs together really well, you know, one of the better ones I've seen in, in this space, And all of it has potential the potential to solve complex business problems, We're now moving into the eco systems segment the power of many Good to see So cloud migration, it's one of the hottest topics. on snowflake to consolidate data across systems into one data cloud with Altryx business the partnership, maybe a little bit about the history, you know, what are the critical aspects that we should really focus Yeah, so the relationship started in 2020 and all shirts made a big bag deep with snowflake And the best practices guide is more of a technical document, bringing together experiences and guidance So customers can, can leverage that elastic platform, that being the snowflake data cloud, one of the problems that you guys solved early on, but what are some of the common challenges or patterns or trends everyone has access to data and everyone can do something with data, it's going to make them competitively, application that they have in order to be competitive in order to be competitive. to enrich with your own data sets, to enrich with, um, with your suppliers and with your partners, So thank you for that. So now that that Altrix is moving to the same model, And the launch of our cloud strategy How would you describe your joint go to market strategy the path to insights starting with your snowflake data. You'll go to market strategy. And so we shifted to an industry focus So that is going to be a way for us to allow What should we look for in the coming year? blueprints, and extending that at no charge to our partners with snowflake, we're already collaborating with Tarik will give you the last word. Um, the ability for Ultrix to plug into this extensibility framework that we call Barb Tara, thanks so much for coming on the program, got to leave it right there in a moment, I'll be back with 11.8 billion data points and one analytics platform to make sense of it all. This means putting data in the hands of those domain experts that are closest to the customer are going to be able to put data to work. While at the same time, the governance security and privacy edicts

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Bassam Tabbara, Upbound | KubeCon + CloudNativeCon Europe 2021 - Virtual


 

>>from around the >>globe, it's the >>cube with coverage of Kublai >>khan and cloud Native con, europe 2021 virtual brought to you by red hat. The cloud >>native computing >>foundation and ecosystem partners. Welcome back to the cubes coverage of Yukon 21 cloud native con part of the C n C f s event. This is the cubes continuing coverage. You got a great guest cube alumni entrepreneurs to borrow founder and ceo of up bound. Great to see you remotely too bad. We're not in person. But soon the pandemic Is right around the corner will be post pandemic with searing events are coming back. Great to see you. Thanks for coming on for coop con 21 >>Good, good to be back on the cube, john >>great to see you. You know, I've always loved your career, what you've been doing with that many conversations on the Cuban. Also in person, you're the creative rook and cross plane um, C N C F projects there. Um great venture, really part of this cloud native revolution that's happening, you were early on and the history of your career, but now you're seeing it go mainstream. Let's get into that on this session, because I really want to dig into this across cloud and now get ops is hugely popular. This is kind of what you call day to operate your ongoing, this is the future. This is a new environment. Before we get going, talk about the update on your in what's new with cross plane. >>Uh, So cross plane is growing as you know, it's a multi cloud control plane that essentially lets you uh you can connect it up to all the different infrastructure vendors and lets you manage infrastructure in a consistent way consistent with what, you know, what we do with the tops and and on the kubernetes ap I um and so the community has been growing tremendously. We've just applied for it together, the incubation status at the CNC F and really happy with all the progress around it. It's, it's such an amazing journey we've been on with cross plane, >>you know, it's funny you watch all the, the evolution of the cloud in the early days, it was, what is cloud, the big debate, people define what cloud is that? It was Oh yeah, clouds great. You can, you know, start up cloud developers, Greenfield, then it became enterprise cloud around 2015. Now, you know, today the cloud is not so much, you know, moving to the cloud as it was in 2015, it's like scaling and cloud, that is true enterprise grade. Um real serious operational security impacts multiple resources and this is where cross cloud comes in or, or, you know, I see hybrid clouds operating model, everyone has agreed on that. That's the architecture, but that also brings in assumes multiple clouds, right? This is where the new kind of control plane or you guys called cross cloud management kicks in. This is an enterprise priority. From what I can see. Do you agree with that? Can you share your commentary on how much our enterprises of prioritizing cross cloud management? Because that seems to be the Hot one. What's your take on us? >>Yeah, the way, the way we see it is that and we see this with customers and we see those folks in the community. Almost every enterprise we talked to is modernizing their I. T. You know, that, as you said, they're not going to cloud, they're already in cloud, but they're doing so many more things to kind of accelerate the pace of innovation and reduce the time for them to ship applications, which is now a fundamental part or fundamental measure uh of their success. Right. And so what we're seeing is that they're organizing into platform teams internally, and these teams are the ones that own the cloud accounts, they're the ones that are responsible for deploying infrastructure cross, whether it's cross cloud or hybrid cloud. Um and these teams are essentially organizing to build what looks like an internal platform and a key ingredient of this. Internal platform is a control plane and this is what enables getups. You see kubernetes as a control plane, that's in there, um it's it's the piece that's allowing them to actually connect to different clouds. It's the piece that's allowing them to manage their infrastructure, whether it's on premise or in cloud, it's the thing that's allowing them to do day to operations, all of that's happening in an interesting way. It's, it's happening within the enterprise. It is their own platform and it layers on top of the back and infrastructure that they're using, whether it's cloud providers or hybrid, you know, infrastructure, it's happening in a way that's enterprise from the enterprise and going out to the vendors, which is a little different model than we've seen in the past. And that's where multi cloud tends to come in and multi vendor or heterogeneity in general. Uh we see that very, very commonly in in the enterprise, >>you know, I think you're exactly right. That's classic market evolution in computer industry, you know, multi multi vendors, ultimately when things start to settle in on the massive growth. Hybrid cloud, however, is really kind of where the action is today. And you can see people struggling and innovating around the area of continuous operations and as you can use development develops concept. But the problem is that as they realize, well stuffs in production, it's in the public cloud, its on premises, you know, this, the operational piece starts to rear its head and we gotta fix that. And then they connect the dots a saying, if multi cloud is coming, which people generally agree upon, then they go, if we don't clean this up, we're gonna be screwed. That's generally the consensus that I can that I hear from people so explain, explain with the rise of multi cloud what cross plane is, I mean, what is cross playing about? Give us an overview around this. >>So, I mean there's a lot of ways to describe this, but we see it as like the rise of platform engineering, there's a lot happening around people building their own platforms that layer on top of cloud, which happens to also be multi vendor and multi cloud. So when you're building a platform in an enterprise that can talk to amazon that can talk to Microsoft Azure that can talk to your on premise infrastructure, whether it's VM ware or open shift, you need a, you need a layer that is able to orchestrate and deploy and manage and deal with day to operations, Right. That that is an important piece. It's the piece that is, you know, the way you can enforce your policies, you can set out your controls, whether your compliance, do your compliance and governance and essentially sell sell served uh this to your developers so that they can actually get productive and deploy applications on on this platform. And we see cross plane and what what Kubernetes has started with a control plane as a critical approach in this, in this new platform. In fact, the approach that's kind of pioneered by kubernetes with the kubernetes Api and control plane is now becoming the dominant way of managing infrastructure and deploying applications on it. This is you hear this in different ways, like this is why get off has become popular. Get Office is a really great thing. It's a way to essentially let you manage infrastructure through, you know, configuration that's stored in GIT repositories. But the thing that it connects to is a control plane that's going to make it happen, right? And we see that with kubernetes uh predominantly with kubernetes. Right. And so what cross plane does is lets you extend the getups approach and the management approach that's pioneered by the kubernetes community to the entire surface area of cloud. So not only can you deploy your containers using get apps, you can actually manage through the tops VMS server lists, databases and cloud Hybrid environments. Multi cloud environments. You know, even, you know, your load balances that are on premise could be managed through tops anything that speaks in a p I could be managed to get off if you go through a project like cross plane. Now, that part is that part is where we're seeing the most success right now. We're seeing a lot of people that are adopting these approaches to managing infrastructure while they're building their platforms and they're pulling in cross plains, we're seeing massive end user adoption of cross plane right >>now. I want to get into this. I want to get this impact of the control playing but before we get there I want a real quick while I got you an expert. I know this coupon. You don't need to explain what get upset. Everyone knows what that is. But for the folks that aren't aren't aren't in the community, I want to grab the sound bite if you don't mind. Could you define what is getups? >>Uh huh. So so get up is somewhat of a marketing term. Uh but the way I interpreted is essentially storing your configuration in a git repository. Are you using, you know, uh versioning techniques that are pioneered to manage code, right? Whether using Pr flows, storing things and get doing the collaboration of what changes happen in get and then having that be essentially mirrored to uh control plane that is able to implement the declarative configuration that you've specified. So a good example of this is if you wanted to deploy, say, you know, start up a cluster of kubernetes cluster in the cloud vendor and then run applications on it and then configure it to connect to databases. You can describe your intent and store it and get collaborate with your team members on it, make sure it's all correct. And then through getups pipeline, you're able to take those, you know, essentially, configuration and then apply it via control plane onto your vendor of choice. Right? That's that's the style. It's great because, you know, get is a great place to store configuration. It's a great place to collaborate. There are amazing tools around pr flows, pull request flows. They're amazing tools for audit ability and versioning and you get to leverage all of those when you are deploying infrastructure that runs your entire >>enterprise. Yeah. And I would also add to that. I I explain it simply for people that aren't in the weeds on the tech is think of it like a QA for srs it's like you need to manage the infrastructure because we're talking about devops infrastructure as code, we're programming infrastructure. So you've got to have some sort of process. And I think this brings up my next point about this control plane, because you mentioned um Cross plans has these nice has this nice uh program to it. Most people write their own code, they'll like they'll they'll like do homegrown work to create in their platform, mainly because there's gaps in there. Can you comment on how you guys are different than someone saying? I'm just gonna write my own code and do my own thing, my own platform team. I don't need cosplaying what I need you for. I'm gonna do it myself. >>So what we see predominantly is folks that are doing get ops or infrastructure as code and setting up pipelines for their compute workloads and specifically for containers. Right. And then, like you said, they're actually writing homegrown scripts or doing Tara forum or doing other things that are on the side to deploy. The other parts, uh including, you know, state full workloads or things that are running across a I M L on premise, hybrid, all of that stuff is done organically on the side of this beautiful path. Forget ops right. What we're doing with cross plane is essentially letting you bring all of the things that you're managing organically into the same pipelines with get offs. So you're able to actually normalize on a single approach for management for orchestration of infrastructure and applications. So you're you're able to, you know, get rid of your custom scripts and use a P I. S to define what your developers should do. You're able to, you know, use the mechanisms that are in the tools that are available to you forget ups and for the in the company's ecosystem to manage the entire surface area of, you know, infrastructure that you're managing within the enterprise in a consistent way. Right? That's where cross money comes in cross plane enables you to extend the control plane of kubernetes to manage everything that's offered by amazon and Microsoft and google and VM ware and open shift and red hat, Everything else can become falls into the same orchestrator, the same control plane that's managing it all and you can access it and give it to your developers in a safe way using, you know, get ups like approaches. >>You know, I've heard horror stories where people pushed new codes, trivial stuff and then all of a sudden breaks because um, code or script was written for a different purpose, but the impact was created into a small little dependency, but it's essentially the human error aspect of software. It's like, well we didn't really kind of see that coming, but at that point that script worked. Now this new thing, something trivial and easy breaks because and then it crashes. This is the kind of day to operations >>that very amounting >>about. Is that right? >>That's that's very much that's very much the case. And we see a lot of people kind of normalizing on templates and scripts, you know, where it's like, okay, you want to deploy database, here's a we'll open a ticket. Uh, and then some human runs, uh, you know, a template, a Terror form template, etcetera, that deploys a script and then shuttle credentials back to the developers over email or over slack and then they plug them into their manifest to deploy on through getups, pipelines. That there's a lot of interesting things that are happening and what we we want to do is to prevent the human error. To put the guard rails in place is essentially arrive at a consistent approach for all of it. Your legacy workloads, your multi cloud workloads, your hybrid workloads, your the little system that's sitting on the side. You can, you can do, you can essentially normalize on using a single approach to manage all of it. One that is safe, that you can give to developers directly there. It has all the guardrails in place, has policy and controls factored in and is exposed through an api that's the part that I think is uh, you know, leads to the largest, most scalable platforms in the world. >>You know, I think that's just natural evolution to us as your customers and enterprises get visibility on the operational standards like, Okay, let's lock that input. The guard rails down. Makes a lot of sense. I gotta ask you on the enterprise adoption pieces, something that we've been covering on silicon angle on the cube this year is looking at the mainstream adoption of kubernetes and whatnot and the rest of the cloud native. It's certainly with Covid, it's accelerated everything. How is the enterprise adoption of cross plane changing? Uh is a game that kind of momentum you expected when you started the project a few years ago? >>Um We're very pleasantly surprised by the adoption, especially in the last six months since we declared cross plane one point. Oh, it has reached a maturity level now that it's actually in Fortune 100 massive production deployments in Fortune 100 companies. Um This is why we're actually, you know, taking to the next level of C N C F, we're also proud of the ecosystem convergence on it, so we're seeing the cloud providers, working with all of them on ensuring that Crossman can address their infrastructure and we're seeing main, the community rally around us. Uh We think the ecosystem part is super interesting for cross money, as you can imagine having an orchestrator control plane that's able to, you know, address the entire surface area of infrastructure offered by all these different vendors requires the vendors to be involved. Right? Uh and so both, uh, it's a two sided network. Both the ecosystem, you know, adoption and the end user adoption are important for cross plane and we're seeing like massive traction on both right >>now. That's awesome. Traditionally, the the adoption arises that users want more things actually enterprise. They they want everything every nook and cranny, they want every feature, they want every integration. I mean they prioritize but, but as you get more, it's not just like a consumer product, although it is cloud native and you've got that, but there's, there's certain things that are table stakes and then there's innovation, but they really want the well known integrations, um, and support and so forth. How is cross playing in the community responding to the challenges as you guys get more popular and as the standards become clear around multi cloud? >>Yeah, I mean, this is the beauty of open source. I mean, we're seeing a lot of different folks contributing to open source. The majority of contributors right now to cross plane are outside of a pound. The company that started cross plane and essentially donated C N C. F. We're seeing folks that are coming in and adding the resources that they are needing, um, or adding features, really significant features to the code base and improving, which is, you know, again, it's the network effect around open source and it's just unbelievable to see and, and I'm able to see it happen and happen so quickly around the project. >>That's awesome. Well something great to have you on, your always great to talk to your super smart, we've had many great conversations in person on camera on the cube. Now, remote CNC F is again um doing such a great job with the um, the open source and now with Coop Con and cloud, Native Con, the open hybrid cloud and now cross cloud, multi cloud, whatever you wanna call it, it's happening. So I gotta ask you with respect to kubernetes because you know, we were all having beers and open stack that time we write, cooper is going to be hot, I think how many years ago that was, um I think you are kind of hanging around with me and robert and others. Um, Kubernetes was just an idea it was developing. Now it's obviously mainstream. The question that I get a lot now is how do I manage and deploy kubernetes in an open hybrid cloud to take advantage of the current state of the art, Open software and commercial opportunities and be positioned to take advantage of multi cloud. In other words, they want the future of multi cloud, but they've got to address the open hybrid cloud. So how do I do that? What's your what's your advice? >>You know, honestly, uh reflecting on the success of kubernetes, I I have a you know, maybe a controversial answer to your question. >>I think >>Kubernetes will be remembered for its control plane and its ability to manage infrastructure and applications in a general way, and not for the fact that it's a container orchestrator In 10 years, we'll probably look at kubernetes and say it's true superpower is the fact that it revolutionized how we manage infrastructure and applications using this declarative approach, using this control plane approach uh to management. And the fact that it's managing the fact that it started out with just containers is well, we'll probably be a historical thing. Uh so so so in some ways, you know, to kind of to kind of go back to your question, I'd say yes. I think kubernetes is reached mainstream in the in the container space, but we now have two uncontained, arise it and use it for management, managing infrastructure everywhere in a multi cloud and a you know, in a hybrid environment as well. >>Well, I mean that's a great point. First, I don't think that's radical. I'm on the record years ago saying that I saw it as the TCP I P moment for cloud where you have interoperability and what you're getting and I think that's so interesting right now and I think everyone is kind of, it's the hidden secrets kind of like the land grab, everyone's trying to go for us. Customers just want a provision and manage cloud infrastructure and program it with applications. I mean just think about that general basic concept. Right? I want to provision, I don't want to have to have meetings, no waterfall know that. I want to be agile. Yeah, I want operation, I want security, I want all that big 10. That's kind of where the puck is going >>very much. Self, self service is a really critical part and the part that um is part of the kubernetes uh kind of design is you developers just want a database or they wanna cash to run their application alongside their application. They don't really need to understand all the security details and networking and be pcs and everything else. And so if you give them an A. P. I just like kubernetes does that tells them. Okay, look, if you want a pot or if you want a database or if you want to cash, here's the A. P. I use, use whatever framework you want, use any language you want. And then we've got all the guardrails built in behind the A. P. I line, just, you know, through getups or not deploy this thing, provision it and then the control plane takes care of the rest. That's the, that's the path we're on as an industry, >>whatever you wanna call it, getups, cross cloud, it's unlimited cloud resource at scale. That's what customers want to do. The markets evolving superfast tons of opportunity for entrepreneurs, tons of evidence for enterprises who are themselves innovating. Again, another big theme here. I'll give you the final word around this user generated open source paradigm, what they've always been involvement now, more than ever, you start to see that, I don't know, maybe second generation, maybe third generation end user inside companies contributing to projects and driving this. This is an interesting dynamic. No one's really reporting this, your thoughts on this end user driven projects. >>We're seeing, we're seeing a lot of end users get involved in projects like cross plane. I mean, it's amazing. It's like companies that are, you know, directionally, they're all, you know, when they're modernizing, they're all heading down about that's open source or even towards cloud native projects. Right. And so it's what we see is they typically get involved initially by just asking questions and, you know, reporting issues and asking for features. And then within within a few months you see actual like meaningful contributions come in two projects. Right. And so I mean there's nothing speaks uh, nothing, nothing says their work. You know, they're committed more than just submitting a pull request where they've spent hours weeks making changes to a project. Right. And and that's happening across the entire, you know, ecosystem around cloud Native. It's, it's what makes it so powerful, >>awesome. But some great to have this conversation. Great insights. Thanks for sharing the update on cross plane and your vision around this, you know, provisioning new infrastructure, having this control, universal control plan. I think this is where everyone is talking about having that value and the scale sets up automation. You know, it just brings everything to the next, next gen, next level of capability. So I appreciate taking the time. Thanks for coming in. >>Thanks john Yeah, good. Good to be back on the, on the cube. >>Great to see you. Okay. This is the Cube coverage of coop con 21 virtual cloud native Khanum jaan for your host with the cube. Thanks for watching. Mhm.

Published Date : May 6 2021

SUMMARY :

khan and cloud Native con, europe 2021 virtual brought to you by red hat. Great to see you remotely too bad. This is kind of what you call day to operate your ongoing, Uh, So cross plane is growing as you know, it's a multi cloud control Now, you know, today the cloud is not so much, you know, moving to the cloud as it was in 2015, you know, infrastructure, it's happening in a way that's enterprise from innovating around the area of continuous operations and as you can use development develops It's the piece that is, you know, But for the folks that aren't aren't aren't in the community, I want to grab the sound bite if you So a good example of this is if you wanted to deploy, on the tech is think of it like a QA for srs it's like you need to manage and you can access it and give it to your developers in a safe way using, This is the kind of day to operations Is that right? you know, leads to the largest, most scalable platforms in the world. Uh is a game that kind of momentum you expected Both the ecosystem, you know, adoption and How is cross playing in the community responding to the challenges as you guys get more code base and improving, which is, you know, again, it's the network effect around open Well something great to have you on, your always great to talk to your super smart, I I have a you know, maybe a controversial answer to your question. in some ways, you know, to kind of to kind of go back to your question, TCP I P moment for cloud where you have interoperability and what you're getting and I think cash, here's the A. P. I use, use whatever framework you want, use any language you want. open source paradigm, what they've always been involvement now, more than ever, you start to see that, And and that's happening across the entire, you know, and the scale sets up automation. Good to be back on the, on the cube. Great to see you.

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A Day in the Life of a Data Scientist


 

>>Hello, everyone. Welcome to the a day in the life of a data science talk. Uh, my name is Terry Chang. I'm a data scientist for the ASML container platform team. And with me, I have in the chat room, they will be moderating the chat. I have Matt MCO as well as Doug Tackett, and we're going to dive straight into kind of what we can do with the asthma container platform and how we can support the role of a data scientist. >>So just >>A quick agenda. So I'm going to do some introductions and kind of set the context of what we're going to talk about. And then we're actually going to dive straight into the ASML container platforms. So we're going to walk straight into what a data scientist will do, kind of a pretty much a day in the life of the data scientists. And then we'll have some question and answer. So big data has been the talk within the last few years within the last decade or so. And with big data, there's a lot of ways to derive meaning. And then a lot of businesses are trying to utilize their applications and trying to optimize every decision with their, uh, application utilizing data. So previously we had a lot of focus on data analytics, but recently we've seen a lot of data being used for machine learning. So trying to take any data that they can and send it off to the data scientists to start doing some modeling and trying to do some prediction. >>So that's kind of where we're seeing modern businesses rooted in analytics and data science in itself is a team sport. We're seeing that it doesn't, we need more than data scientists to do all this modeling. We need data engineers to take the data, massage the data and do kind of some data manipulation in order to get it right for the data scientists. We have data analysts who are monitoring the models, and we even have the data scientists themselves who are building and iterating through multiple different models until they find a one that is satisfactory to the business needs. Then once they're done, they can send it off to the software engineers who will actually build it out into their application, whether it's a mobile app or a web app. And then we have the operations team kind of assigning the resources and also monitoring it as well. >>So we're really seeing data science as a team sport, and it does require a lot of different expertise and here's the kind of basic machine learning pipeline that we see in the industry now. So, uh, at the top we have this training environment and this is, uh, an entire loop. Uh, we'll have some registration, we'll have some inferencing and at the center of all, this is all the data prep, as well as your repositories, such as for your data, for any of your GitHub repository, things of that sort. So we're kind of seeing the machine learning industry, go follow this very basic pattern and at a high level I'll glance through this very quickly, but this is kind of what the, uh, machine learning pipeline will look like on the ASML container platform. So at the top left, we'll have our, our project depository, which is our, uh, persistent storage. >>We'll have some training clusters, we'll have a notebook, we'll have an inference deployment engine and a rest API, which is all sitting on top of the Kubernetes cluster. And the benefit of the container platform is that this is all abstracted away from the data scientist. So I will actually go straight into that. So just to preface, before we go into the data as small container platform, where we're going to look at is a machine learning example, problem that is, uh, trying to predict how long a specific taxi ride will take. So with a Jupiter notebook, the data scientists can take all of this data. They can do their data manipulation, train a model on a specific set of features, such as the location of a taxi ride, the duration of a taxi ride, and then model it to trying to figure out, you know, what, what kind of prediction we can get on a future taxi ride. >>So that's the example that we will talk through today. I'm going to hop out of my slides and jump into my web browser. So let me zoom in on this. So here I have a Jupiter environment and, um, this is all running on the container platform. All I need is actually this link and I can access my environment. So as a data scientist, I can grab this link from my it admin or my system administrator. And I could quickly start iterating and, and start coding. So on the left-hand side of the Jupiter, we actually have a file directory structure. So this is already synced up to my get repository, which I will show in a little bit on the container platform so quickly I can pull any files that are on my get hub repository. I can even push with a button here, but I can, uh, open up this Python notebook. >>And with all this, uh, unique features of the Jupiter environment, I can start coding. So each of these cells can run Python code and in specific the container at the ESMO container platform team, we've actually built our own in-house lime magic commands. So these are unique commands, um, that we can use to interact with the underlying infrastructure of the container platform. So the first line magic command that I want to mention is this command called percent attachments. When I run this command, I'll actually get the available training clusters that I can send training jobs to. So this specific notebook, uh, it's pretty much been created for me to quickly iterate and develop a model very quickly. I don't have to use all the resources. I don't have to allocate a full set of GPU boxes onto my little Jupiter environment. So with the training cluster, I can attach these individual data science notebooks to those training clusters and the data scientists can actually utilize those resources as a shared environment. >>So the, essentially the shared large eight GPU box can actually be shared. They don't have to be allocated to a single data scientist moving on. We have another line magic command, it's called percent percent Python training. This is how we're going to utilize that training cluster. So I will prepare the cell percent percent with the name of the training cluster. And this is going to tell this notebook to send this entire training cell, to be trained on those resources on that training cluster. So the data scientists can quickly iterate through a model. They can then format that model and all that code into a large cell and send it off to that training cluster. So because of that training cluster is actually located somewhere else. It has no context of what has been done locally in this notebook. So we're going to have to do and copy everything into one large cell. >>So as you see here, I'm going to be importing some libraries and I'm in a, you know, start defining some helper functions. I'm going to read in my dataset and with the typical data science modeling life cycle, we're going to have to take in the data. We're going to have to do some data pre-processing. So maybe the data scientists will do this. Maybe the data engineer will do this, but they have access to that data. So I'm here. I'm actually getting there to be reading in the data from the project repository. And I'll talk about this a little bit later with all of the clusters within the container platform, we have access to some project repository that has been set up using the underlying data fabric. So with this, I have, uh, some data preprocessing, I'm going to cleanse some of my data that I noticed that maybe something is missing or, uh, some data doesn't look funky. >>Maybe the data types aren't correct. This will all happen here in these cells. So once that is done, I can print out that the data is done cleaning. I can start training my model. So here we have to split our data, set into a test, train, uh, data split so that we have some data for actually training the model and some data to test the model. So I can split my data there. I could create my XG boost object to start doing my training and XG boost is kind of like a decision tree machine learning algorithm, and I'm going to fit my data into this, uh, XG boost algorithm. And then I'm going to do some prediction. And then in addition, I'm actually going to be tracking some of the metrics and printing them out. So these are common metrics that we, that data scientists want to see when they do their training of the algorithm. >>Just to see if some of the accuracy is being improved, if the loss is being improved or the mean absolute error. So things like that. So these are all things, data scientists want to see. And at the end of this training job, I'm going to be saving the model. So I'm going to be saving it back into the project repository in which we will have access to. And at the end, I will print out the end time so I can execute that cell. And I've already executed that cell. So you'll see all of these print statements happening here. So importing the libraries, the training was run reading and data, et cetera. All of this has been printed out from that training job. Um, and in order to access that, uh, kind of glance through that, we would get an output with a unique history URL. >>So when we send the training job to that training cluster, we'll the training cluster will send back a unique URL in which we'll use the last line magic command that I want to talk about called percent logs. So percent logs will actually, uh, parse out that response from the training cluster. And actually we can track in real time what is happening in that training job so quickly, we can see that the data scientist has a sandbox environment available to them. They have access to their get repository. They have access to a project repository in which they can read in some of their data and save the model. So very quick interactive environment for the data scientists to do all of their work. And it's all provisioned on the ASML container platform. And it's also abstracted away. So here, um, I want to mention that again, this URL is being surfaced through the container platform. >>The data scientist doesn't have to interact with that at all, but let's take, it's take a step back. Uh, this is the day to day in the life of the data scientists. Now, if we go backwards into the container platform and we're going to walk through how it was all set up for them. So here is my login page to the container platform. I'm going to log in as my user, and this is going to bring me to the, uh, view of the, uh, Emma lops tenant within the container platform. So this is where everything has been set up for me, the data scientist doesn't have to see this if they don't need to, but what I'll walk through now is kind of the topics that I mentioned previously that we would go back into. So first is the project repository. So this project deposited comes with each tenant that is created on the platform. >>So this is a more, nothing more than a shared collaborative workspace environment in which data scientist or any data scientist who is allocated to this tenant. They have this politics client that can visually see all their data of all, all of their code. And this is actually taking a piece of the underlying data fabric and using that for your project depository. So you can see here, I have some code I can create and see my scoring script. I can see the models that have been created within this tenant. So it's pretty much a powerful tool in which you can store your code store any of your data and have the ability to read and write from any of your Jupiter environments or any of your created clusters within this tenant. So a very cool ad here in which you can, uh, quickly interact with your data. >>The next thing I want to show is the source control. So here is where you would plug in all of your information for your source control. And if I edit this, you guys will actually see all the information that I've passed in to configure the source control. So on the backend, the container platform will take these credentials and connect the Jupiter notebooks you create within this tenant to that get repository. So this is the information that I've passed in. If GitHub is not of interest, we also have support for bit bucket here as well. So next I want to show you guys that we do have these notebook environments. So, um, the notebook environment was created here and you can see that I have a notebook called Teri notebook, and this is all running on the Kubernetes environment within the container platform. So either the data scientists can come here and create their notebook or their project admin can create the notebook. >>And all you'd have to do is come here to this notebook end points. And this, the container platform will actually map the container platform to a specific port in which you can just give this link to the data scientists. And this link will actually bring them to their own Jupiter environment and they can start doing all of their model just as I showed in that previous Jupiter environment. Next I want to show the training cluster. This is the training cluster that was created in which I can attach my notebook to start utilizing those training clusters. And then the last thing I want to show is the model, the deployment cluster. So once that model has been saved, we have a model registry in which we can register the model into the platform. And then the last step is to create a deployment clusters. So here on my screen, I have a deployment cluster called taxi deployment. >>And then all these serving end points have been configured for me. And most importantly, this endpoint model. So the deployment cluster is actually a wrap the, uh, train model with the flask wrapper and add a rest endpoint to it so quickly. I can operationalize my model by taking this end point and creating a curl command, or even a post request. So here I have my trusty postman tool in which I can format a post request. So I've taken that end point from the container platform. I've formatted my body, uh, right here. So these are some of the features that I want to send to that model. And I want to know how long this specific taxi ride at this location at this time of day would take. So I can go ahead and send that request. And then quickly I will get an output of the ride. >>Duration will take about 2,600 seconds. So pretty much we've walked through how a data scientists can quickly interact with their notebook. They can train their model. And then coming into the platform, we saw the project repository, we saw the source control. We can register the model within the platform, and then quickly we can operationalize that model with our deployment cluster, uh, and have our model up and running and available for inference. So that wraps up the demo. Uh, I'm gonna pass it back to Doug and Matt and see if they want to come off mute and see if there are any questions, Matt, Doug, you there. Okay. >>Yeah. Hey, Hey Terry, sorry. Sorry. Just had some trouble getting off mute there. Uh, no, that was a, that was an excellent presentation. And I think there are generally some questions that come up when I talk to customers around how integrated into the Kubernetes ecosystem is this capability and where does this sort of Ezreal starts? And the open source, uh, technologies like, um, cube flow as an example, uh, begin. >>Yeah, sure. Matt. So this is kind of one layer up. We have our Emma LOBs tenant and this is all running on a piece of a Kubernetes cluster. So if I log back out and go into the site admin view, this is where you would see all the Kubernetes clusters being created. And it's actually all abstracted away from the data scientists. They don't have to know Kubernetes. They just interact with the platform if they want to. But here in the site admin view, I had this Kubernetes dashboard and here on the left-hand side, I have all my Kubernetes sections. So if I just add some compute hosts, whether they're VMs or cloud compute hosts, like ETQ hosts, we can have these, uh, resources abstracted away from us to then create a Kubernetes cluster. So moving on down, I have created this Kubernetes cluster utilizing those resources. >>Um, so if I go ahead and edit this cluster, you'll actually see that have these hosts, which is just a click and a click and drop method. I can move different hosts to then configure my Kubernetes cluster. Once my Kubernetes cluster is configured, I can then create Kubernetes tenant or in this case, it's a namespace. So once I have this namespace available, I can then go into that tenant. And as my user, I don't actually see that it is running on Kubernetes. So in addition with our ML ops tenants, you have the ability to bootstrap cute flow. So queue flow is a open source machine learning framework that is run on Kubernetes, and we have the ability to link that up as well. So, uh, coming back to my Emma lops tenant, I can log in what I showed is the ASML container platform version of Emma flops. But you see here, we've also integrated QP flow. So, uh, very, uh, a nod to, uh, HPS contribution to, you know, utilizing open source. Um, it's actually all configured within our platform. So, um, hopefully, >>Yeah, actually, Tara, can you hear me? It's Doug. So there were a couple of other questions actually about key flare that came in. I wonder whether you could just comment on why we've chosen cube flow. Cause I know there was a question about ML flow in stead and what the differences between ML flow and coop flow. >>Yeah, sure. So the, just to reiterate, there are some questions about QP flow and I'm just, >>Yeah, so obviously one of, uh, one of the people watching saw the queue flow dashboard there, I guess. Um, and so couldn't help but get excited about it. But there was another question about whether, you know, ML flow versus cube flow and what the difference was between them. >>Yeah. So with flow, it's, it's an open source framework that Google has developed. It's a very powerful framework that comes with a lot of other unique tools and Kubernetes. So with Q flow, you really have the ability to launch other notebooks. You have the ability to utilize different Kubernetes operators like TensorFlow and PI torch. You can utilize a lot of the, some of the frameworks within Q4 to do training like Q4 pipelines, which visually allow you to see your training jobs, uh, within the queue flow. It also has a plethora of different serving mechanisms, such as Seldin, uh, for, you know, deploying your, your machine learning models. You have Ks serving, you have TF serving. So Q4 is very, it's a very powerful tool for data scientists to utilize if they want a full end to end open source and know how to use Kubernetes. So it's just a, another way to do your machine learning model development and right with ML flow, it's actually a different piece of the machine learning pipeline. So ML flow mainly focuses on model experimentation, comparing different models, uh, during the training and it off it can be used with Q4. >>The complimentary Terry I think is what you're saying. Sorry. I know we are dramatically running out of time now. So that was really fantastic demo. Thank you very much, indeed. >>Exactly. Thank you. So yeah, I think that wraps it up. Um, one last thing I want to mention is there is this slide that I want to show in case you have any other questions, uh, you can visit hp.com/asml, hp.com/container platform. If you have any questions and that wraps it up. So thank you guys.

Published Date : Mar 17 2021

SUMMARY :

I'm a data scientist for the ASML container platform team. So I'm going to do some introductions and kind of set the context of what we're going to talk about. the models, and we even have the data scientists themselves who are building and iterating So at the top left, we'll have our, our project depository, which is our, And the benefit of the container platform is that this is all abstracted away from the data scientist. So that's the example that we will talk through today. So the first line magic command that I want to mention is this command called percent attachments. So the data scientists can quickly iterate through a model. So maybe the data scientists will do this. So once that is done, I can print out that the data is done cleaning. So I'm going to be saving it back into the project repository in which we will So here, um, I want to mention that again, this URL is being So here is my login page to the container So this is a more, nothing more than a shared collaborative workspace environment in So on the backend, the container platform will take these credentials and connect So once that model has been saved, we have a model registry in which we can register So I've taken that end point from the container platform. So that wraps up the demo. And the open source, uh, technologies like, um, cube flow as an example, So moving on down, I have created this Kubernetes cluster So once I have this namespace available, So there were a couple of other questions actually So the, just to reiterate, there are some questions about QP flow and I'm just, But there was another question about whether, you know, ML flow versus cube flow and So with Q flow, you really have the ability to launch So that was really fantastic demo. So thank you guys.

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theCube On Cloud 2021 - Kickoff


 

>>from around the globe. It's the Cube presenting Cuban cloud brought to you by silicon angle, everybody to Cuban cloud. My name is Dave Volonte, and I'll be here throughout the day with my co host, John Ferrier, who was quarantined in an undisclosed location in California. He's all good. Don't worry. Just precautionary. John, how are you doing? >>Hey, great to see you. John. Quarantine. My youngest daughter had covitz, so contact tracing. I was negative in quarantine at a friend's location. All good. >>Well, we wish you the best. Yeah, well, right. I mean, you know what's it like, John? I mean, you're away from your family. Your basically shut in, right? I mean, you go out for a walk, but you're really not in any contact with anybody. >>Correct? Yeah. I mean, basically just isolation, Um, pretty much what everyone's been kind of living on, kind of suffering through, but hopefully the vaccines are being distributed. You know, one of the things we talked about it reinvent the Amazon's cloud conference. Was the vaccine on, but just the whole workflow around that it's gonna get better. It's kind of really sucky. Here in the California area, they haven't done a good job, a lot of criticism around, how that's rolling out. And, you know, Amazon is now offering to help now that there's a new regime in the U. S. Government S o. You know, something to talk about, But certainly this has been a terrible time for Cove it and everyone in the deaths involved. But it's it's essentially pulled back the covers, if you will, on technology and you're seeing everything. Society. In fact, um, well, that's big tech MIT disinformation campaigns. All these vulnerabilities and cyber, um, accelerated digital transformation. We'll talk about a lot today, but yeah, it's totally changed the world. And I think we're in a new generation. I think this is a real inflection point, Dave. You know, modern society and the geo political impact of this is significant. You know, one of the benefits of being quarantined you'd be hanging out on these clubhouse APS, uh, late at night, listening to experts talk about what's going on, and it's interesting what's happening with with things like water and, you know, the island of Taiwan and China and U. S. Sovereignty, data, sovereignty, misinformation. So much going on to talk about. And, uh, meanwhile, companies like Mark injuries in BC firm starting a media company. What's going on? Hell freezing over. So >>we're gonna be talking about a lot of that stuff today. I mean, Cuba on cloud. It's our very first virtual editorial event we're trying to do is bring together our community. It's a it's an open forum and we're we're running the day on our 3 65 software platform. So we got a great lineup. We got CEO Seo's data Practitioners. We got a hard core technologies coming in, cloud experts, investors. We got some analysts coming in and we're creating this day long Siri's. And we've got a number of sessions that we've developed and we're gonna unpack. The future of Cloud computing in the coming decade is, John said, we're gonna talk about some of the public policy new administration. What does that mean for tech and for big tech in General? John, what can you add to that? >>Well, I think one of the things that we talked about Cove in this personal impact to me but other people as well. One of the things that people are craving right now is information factual information, truth texture that we call it. But hear this event for us, Davis, our first inaugural editorial event. Robbo, Kristen, Nicole, the entire Cube team Silicon angle, really trying to put together Morva cadence we're gonna doom or of these events where we can put out feature the best people in our community that have great fresh voices. You know, we do interview the big names Andy Jassy, Michael Dell, the billionaires with people making things happen. But it's often the people under there that are the rial newsmakers amid savory, for instance, that Google one of the most impressive technical people, he's gotta talk. He's gonna present democratization of software development in many Mawr riel people making things happen. And I think there's a communal element. We're going to do more of these. Obviously, we have, uh, no events to go to with the Cube. So we have the cube virtual software that we have been building and over years and now perfecting and we're gonna introduce that we're gonna put it to work, their dog footing it. We're gonna put that software toe work. We're gonna do a lot mawr virtual events like this Cuban cloud Cuban startup Cuban raising money. Cuban healthcare, Cuban venture capital. Always think we could do anything. Question is, what's the right story? What's the most important stories? Who's telling it and increase the aperture of the lens of the industry that we have and and expose that and fastest possible. That's what this software, you'll see more of it. So it's super exciting. We're gonna add new features like pulling people up on stage, Um, kind of bring on the clubhouse vibe and more of a community interaction with people to meet each other, and we'll roll those out. But the goal here is to just showcase it's cloud story in a way from people that are living it and providing value. So enjoy the day is gonna be chock full of presentations. We're gonna have moderated chat in these sessions, so it's an all day event so people can come in, drop out, and also that's everything's on demand immediately after the time slot. But you >>want to >>participate, come into the time slot into the cube room or breakout session. Whatever you wanna call it, it's a cube room, and the people in there chatting and having a watch party. So >>when you're in that home page when you're watching, there's a hero video there. Beneath that, there's a calendar, and you'll see that red line is that red horizontal line of vertical line is rather, it's a linear clock that will show you where we are in the day. If you click on any one of those sessions that will take you into the chat, we'll take you through those in a moment and share with you some of the guests that we have upcoming and and take you through the day what I wanted to do. John is trying to set the stage for the conversations that folks are gonna here today. And to do that, I wanna ask the guys to bring up a graphic. And I want to talk to you, John, about the progression of cloud over time and maybe go back to the beginning and review the evolution of cloud and then really talk a little bit about where we think it Z headed. So, guys, if you bring up that graphic when a W S announced s three, it was March of 2000 and six. And as you recall, John you know, nobody really. In the vendor and user community. They didn't really pay too much attention to that. And then later that year, in August, it announced E C two people really started. They started to think about a new model of computing, but they were largely, you know, chicken tires. And it was kind of bleeding edge developers that really leaned in. Um what? What were you thinking at the time? When when you saw, uh, s three e c to this retail company coming into the tech world? >>I mean, I thought it was totally crap. I'm like, this is terrible. But then at that time, I was thinking working on I was in between kind of start ups and I didn't have a lot of seed funding. And then I realized the C two was freaking awesome. But I'm like, Holy shit, this is really great because I don't need to pay a lot of cash, the Provisional Data center, or get a server. Or, you know, at that time, state of the art startup move was to buy a super micro box or some sort of power server. Um, it was well past the whole proprietary thing. But you have to assemble probably anyone with 5 to 8 grand box and go in, and we'll put a couple ghetto rack, which is basically, uh, you know, you put it into some coasting location. It's like with everybody else in the tech ghetto of hosting, still paying monthly fees and then maintaining it and provisioning that's just to get started. And then Amazon was just really easy. And then from there you just It was just awesome. I just knew Amazon would be great. They had a lot of things that they had to fix. You know, custom domains and user interface Council got better and better, but it was awesome. >>Well, what we really saw the cloud take hold from my perspective anyway, was the financial crisis in, you know, 709 It put cloud on the radar of a number of CFOs and, of course, shadow I T departments. They wanted to get stuff done and and take I t in in in, ah, pecs, bite sized chunks. So it really was. There's cloud awakening and we came out of that financial crisis, and this we're now in this 10 year plus boom um, you know, notwithstanding obviously the economic crisis with cove it. But much of it was powered by the cloud in the decade. I would say it was really about I t transformation. And it kind of ironic, if you will, because the pandemic it hits at the beginning of this decade, >>and it >>creates this mandate to go digital. So you've you've said a lot. John has pulled forward. It's accelerated this industry transformation. Everybody talks about that, but and we've highlighted it here in this graphic. It probably would have taken several more years to mature. But overnight you had this forced march to digital. And if you weren't a digital business, you were kind of out of business. And and so it's sort of here to stay. How do you see >>You >>know what this evolution and what we can expect in the coming decades? E think it's safe to say the last 10 years defined by you know, I t transformation. That's not gonna be the same in the coming years. How do you see it? >>It's interesting. I think the big tech companies are on, but I think this past election, the United States shows um, the power that technology has. And if you look at some of the main trends in the enterprise specifically around what clouds accelerating, I call the second wave of innovations coming where, um, it's different. It's not what people expect. Its edge edge computing, for instance, has talked about a lot. But industrial i o t. Is really where we've had a lot of problems lately in terms of hacks and malware and just just overall vulnerabilities, whether it's supply chain vulnerabilities, toe actual disinformation, you know, you know, vulnerabilities inside these networks s I think this network effects, it's gonna be a huge thing. I think the impact that tech will have on society and global society geopolitical things gonna be also another one. Um, I think the modern application development of how applications were written with data, you know, we always been saying this day from the beginning of the Cube data is his integral part of the development process. And I think more than ever, when you think about cloud and edge and this distributed computing paradigm, that cloud is now going next level with is the software and how it's written will be different. You gotta handle things like, where's the compute component? Is it gonna be at the edge with all the server chips, innovations that Amazon apple intel of doing, you're gonna have compute right at the edge, industrial and kind of human edge. How does that work? What's Leighton see to that? It's it really is an edge game. So to me, software has to be written holistically in a system's impact on the way. Now that's not necessarily nude in the computer science and in the tech field, it's just gonna be deployed differently. So that's a complete rewrite, in my opinion of the software applications. Which is why you're seeing Amazon Google VM Ware really pushing Cooper Netease and these service messes in the micro Services because super critical of this technology become smarter, automated, autonomous. And that's completely different paradigm in the old full stack developer, you know, kind of model. You know, the full stack developer, his ancient. There's no such thing as a full stack developer anymore, in my opinion, because it's a half a stack because the cloud takes up the other half. But no one wants to be called the half stack developer because it doesn't sound as good as Full Stack, but really Cloud has eliminated the technology complexity of what a full stack developer used to dio. Now you can manage it and do things with it, so you know, there's some work to done, but the heavy lifting but taking care of it's the top of the stack that I think is gonna be a really critical component. >>Yeah, and that that sort of automation and machine intelligence layer is really at the top of the stack. This this thing becomes ubiquitous, and we now start to build businesses and new processes on top of it. I wanna I wanna take a look at the Big Three and guys, Can we bring up the other The next graphic, which is an estimate of what the revenue looks like for the for the Big three. And John, this is I asked and past spend for the Big Three Cloud players. And it's It's an estimate that we're gonna update after earning seasons, and I wanna point a couple things out here. First is if you look at the combined revenue production of the Big Three last year, it's almost 80 billion in infrastructure spend. I mean, think about that. That Z was that incremental spend? No. It really has caused a lot of consolidation in the on Prem data center business for guys like Dell. And, you know, um, see, now, part of the LHP split up IBM Oracle. I mean, it's etcetera. They've all felt this sea change, and they had to respond to it. I think the second thing is you can see on this data. Um, it's true that azure and G C P they seem to be growing faster than a W s. We don't know the exact numbers >>because >>A W S is the only company that really provides a clean view of i s and pass. Whereas Microsoft and Google, they kind of hide the ball in their numbers. I mean, I don't blame them because they're behind, but they do leave breadcrumbs and clues about growth rates and so forth. And so we have other means of estimating, but it's it's undeniable that azure is catching up. I mean, it's still quite distance the third thing, and before I want to get your input here, John is this is nuanced. But despite the fact that Azure and Google the growing faster than a W s. You can see those growth rates. A W s I'll call this out is the only company by our estimates that grew its business sequentially last quarter. Now, in and of itself, that's not significant. But what is significant is because AWS is so large there $45 billion last year, even if the slower growth rates it's able to grow mawr and absolute terms than its competitors, who are basically flat to down sequentially by our estimates. Eso So that's something that I think is important to point out. Everybody focuses on the growth rates, but it's you gotta look at also the absolute dollars and, well, nonetheless, Microsoft in particular, they're they're closing the gap steadily, and and we should talk more about the competitive dynamics. But I'd love to get your take on on all this, John. >>Well, I mean, the clouds are gonna win right now. Big time with the one the political climate is gonna be favoring Big check. But more importantly, with just talking about covert impact and celebrating the digital transformation is gonna create a massive rising tide. It's already happening. It's happening it's happening. And again, this shift in programming, uh, models are gonna really kinda accelerating, create new great growth. So there's no doubt in my mind of all three you're gonna win big, uh, in the future, they're just different, You know, the way they're going to market position themselves, they have to be. Google has to be a little bit different than Amazon because they're smaller and they also have different capabilities, then trying to catch up. So if you're Google or Microsoft, you have to have a competitive strategy to decide. How do I wanna ride the tide If you will put the rising tide? Well, if I'm Amazon, I mean, if I'm Microsoft and Google, I'm not going to try to go frontal and try to copy Amazon because Amazon is just pounding lead of features and scale and they're different. They were, I would say, take advantage of the first mover of pure public cloud. They really awesome. It passed and I, as they've integrated in Gardner, now reports and integrated I as and passed components. So Gardner finally got their act together and said, Hey, this is really one thing. SAS is completely different animal now Microsoft Super Smart because they I think they played the right card. They have a huge installed base converted to keep office 3 65 and move sequel server and all their core jewels into the cloud as fast as possible, clarified while filling in the gaps on the product side to be cloud. So you know, as you're doing trends job, they're just it's just pedal as fast as you can. But Microsoft is really in. The strategy is just go faster trying. Keep pedaling fast, get the features, feature velocity and try to make it high quality. Google is a little bit different. They have a little power base in terms of their network of strong, and they have a lot of other big data capabilities, so they have to use those to their advantage. So there is. There is there is competitive strategy game application happening with these companies. It's not like apples, the apples, In my opinion, it never has been, and I think that's funny that people talk about it that way. >>Well, you're bringing up some great points. I want guys bring up the next graphic because a lot of things that John just said are really relevant here. And what we're showing is that's a survey. Data from E. T. R R Data partners, like 1400 plus CEOs and I T buyers and on the vertical axis is this thing called Net score, which is a measure of spending momentum. And the horizontal axis is is what's called market share. It's a measure of the pervasiveness or, you know, number of mentions in the data set. There's a couple of key points I wanna I wanna pick up on relative to what John just said. So you see A W S and Microsoft? They stand alone. I mean, they're the hyper scale er's. They're far ahead of the pack and frankly, they have fall down, toe, lose their lead. They spend a lot on Capex. They got the flywheel effects going. They got both spending velocity and large market shares, and so, but they're taking a different approach. John, you're right there living off of their SAS, the state, their software state, Andi, they're they're building that in to their cloud. So they got their sort of a captive base of Microsoft customers. So they've got that advantage. They also as we'll hear from from Microsoft today. They they're building mawr abstraction layers. Andy Jassy has said We don't wanna be in that abstraction layer business. We wanna have access to those, you know, fine grain primitives and eso at an AP level. So so we can move fast with the market. But but But so those air sort of different philosophies, John? >>Yeah. I mean, you know, people who know me know that I love Amazon. I think their product is superior at many levels on in its way that that has advantages again. They have a great sass and ecosystem. They don't really have their own SAS play, although they're trying to add some stuff on. I've been kind of critical of Microsoft in the past, but one thing I'm not critical of Microsoft, and people can get this wrong in the marketplace. Actually, in the journalism world and also in just some other analysts, Microsoft has always had large scale eso to say that Microsoft never had scale on that Amazon owned the monopoly on our franchise on scales wrong. Microsoft had scale from day one. Their business was always large scale global. They've always had infrastructure with MSN and their search and the distributive how they distribute browsers and multiple countries. Remember they had the lock on the operating system and the browser for until the government stepped in in 1997. And since 1997 Microsoft never ever not invested in infrastructure and scale. So that whole premise that they don't compete well there is wrong. And I think that chart demonstrates that there, in there in the hyper scale leadership category, hands down the question that I have. Is that there not as good and making that scale integrate in because they have that legacy cards. This is the classic innovator's dilemma. Clay Christensen, right? So I think they're doing a good job. I think their strategy sound. They're moving as fast as they can. But then you know they're not gonna come out and say We don't have the best cloud. Um, that's not a marketing strategy. Have to kind of hide in this and get better and then double down on where they're winning, which is. Clients are converting from their legacy at the speed of Microsoft, and they have a huge client base, So that's why they're stopping so high That's why they're so good. >>Well, I'm gonna I'm gonna give you a little preview. I talked to gear up your f Who's gonna come on today and you'll see I I asked him because the criticism of Microsoft is they're, you know, they're just good enough. And so I asked him, Are you better than good enough? You know, those are fighting words if you're inside of Microsoft, but so you'll you'll have to wait to see his answer. Now, if you guys, if you could bring that that graphic back up I wanted to get into the hybrid zone. You know where the field is. Always got >>some questions coming in on chat, Dave. So we'll get to those >>great Awesome. So just just real quick Here you see this hybrid zone, this the field is bunched up, and the other companies who have a large on Prem presence and have been forced to initiate some kind of coherent cloud strategy included. There is Michael Michael, multi Cloud, and Google's there, too, because they're far behind and they got to take a different approach than a W s. But as you can see, so there's some real progress here. VM ware cloud on AWS stands out, as does red hat open shift. You got VM Ware Cloud, which is a VCF Cloud Foundation, even Dell's cloud. And you'd expect HP with Green Lake to be picking up momentum in the future quarters. And you've got IBM and Oracle, which there you go with the innovator's dilemma. But there, at least in the cloud game, and we can talk about that. But so, John, you know, to your point, you've gotta have different strategies. You're you're not going to take out the big too. So you gotta play, connect your print your on Prem to your cloud, your hybrid multi cloud and try to create new opportunities and new value there. >>Yeah, I mean, I think we'll get to the question, but just that point. I think this Zeri Chen's come on the Cube many times. We're trying to get him to come on lunch today with Features startup, but he's always said on the Q B is a V C at Greylock great firm. Jerry's Cloud genius. He's been there, but he made a point many, many years ago. It's not a winner. Take all the winner. Take most, and the Big Three maybe put four or five in there. We'll take most of the markets here. But I think one of the things that people are missing and aren't talking about Dave is that there's going to be a second tier cloud, large scale model. I don't want to say tear to cloud. It's coming to sound like a sub sub cloud, but a new category of cloud on cloud, right? So meaning if you get a snowflake, did I think this is a tale? Sign to what's coming. VM Ware Cloud is a native has had huge success, mainly because Amazon is essentially enabling them to be successful. So I think is going to be a wave of a more of a channel model of indirect cloud build out where companies like the Cube, potentially for media or others, will build clouds on top of the cloud. So if Google, Microsoft and Amazon, whoever is the first one to really enable that okay, we'll do extremely well because that means you can compete with their scale and create differentiation on top. So what snowflake did is all on Amazon now. They kind of should go to azure because it's, you know, politically correct that have multiple clouds and distribution and business model shifts. But to get that kind of performance they just wrote on Amazon. So there's nothing wrong with that. Because you're getting paid is variable. It's cap ex op X nice categorization. So I think that's the way that we're watching. I think it's super valuable, I think will create some surprises in terms of who might come out of the woodwork on be a leader in a category. Well, >>your timing is perfect, John and we do have some questions in the chat. But before we get to that, I want to bring in Sargi Joe Hall, who's a contributor to to our community. Sargi. Can you hear us? All right, so we got, uh, while >>bringing in Sarpy. Let's go down from the questions. So the first question, Um, we'll still we'll get the student second. The first question. But Ronald ask, Can a vendor in 2021 exist without a hybrid cloud story? Well, story and capabilities. Yes, they could live with. They have to have a story. >>Well, And if they don't own a public cloud? No. No, they absolutely cannot. Uh hey, Sergey. How you doing, man? Good to see you. So, folks, let me let me bring in Sergeant Kohala. He's a He's a cloud architect. He's a practitioner, He's worked in as a technologist. And there's a frequent guest on on the Cube. Good to see you, my friend. Thanks for taking the time with us. >>And good to see you guys to >>us. So we were kind of riffing on the competitive landscape we got. We got so much to talk about this, like, it's a number of questions coming in. Um, but Sargi we wanna talk about you know, what's happening here in Cloud Land? Let's get right into it. I mean, what do you guys see? I mean, we got yesterday. New regime, new inaug inauguration. Do you do you expect public policy? You'll start with you Sargi to have What kind of effect do you think public policy will have on, you know, cloud generally specifically, the big tech companies, the tech lash. Is it gonna be more of the same? Or do you see a big difference coming? >>I think that there will be some changing narrative. I believe on that. is mainly, um, from the regulators side. A lot has happened in one month, right? So people, I think are losing faith in high tech in a certain way. I mean, it doesn't, uh, e think it matters with camp. You belong to left or right kind of thing. Right? But parlor getting booted out from Italy s. I think that was huge. Um, like, how do you know that if a cloud provider will not boot you out? Um, like, what is that line where you draw the line? What are the rules? I think that discussion has to take place. Another thing which has happened in the last 23 months is is the solar winds hack, right? So not us not sort acknowledging that I was Russia and then wish you watching it now, new administration might have a different sort of Boston on that. I think that's huge. I think public public private partnership in security arena will emerge this year. We have to address that. Yeah, I think it's not changing. Uh, >>economics economy >>will change gradually. You know, we're coming out off pandemic. The money is still cheap on debt will not be cheap. for long. I think m and a activity really will pick up. So those are my sort of high level, Uh, >>thank you. I wanna come back to them. And because there's a question that chat about him in a But, John, how do you see it? Do you think Amazon and Google on a slippery slope booting parlor off? I mean, how do they adjudicate between? Well, what's happening in parlor? Uh, anything could happen on clubhouse. Who knows? I mean, can you use a I to find that stuff? >>Well, that's I mean, the Amazons, right? Hiding right there bunkered in right now from that bad, bad situation. Because again, like people we said Amazon, these all three cloud players win in the current environment. Okay, Who wins with the U. S. With the way we are China, Russia, cloud players. Okay, let's face it, that's the reality. So if I wanted to reset the world stage, you know what better way than the, you know, change over the United States economy, put people out of work, make people scared, and then reset the entire global landscape and control all with cash? That's, you know, conspiracy theory. >>So you see the riches, you see the riches, get the rich, get richer. >>Yeah, well, that's well, that's that. That's kind of what's happening, right? So if you start getting into this idea that you can't actually have an app on site because the reason now I'm not gonna I don't know the particular parlor, but apparently there was a reason. But this is dangerous, right? So what? What that's gonna do is and whether it's right or wrong or not, whether political opinion is it means that they were essentially taken offline by people that weren't voted for that. Weren't that when people didn't vote for So that's not a democracy, right? So that's that's a different kind of regime. What it's also going to do is you also have this groundswell of decentralized thinking, right. So you have a whole wave of crypto and decentralized, um, cyber punks out there who want to decentralize it. So all of this stuff in January has created a huge counterculture, and I had predicted this so many times in the Cube. David counterculture is coming and and you already have this kind of counterculture between centralized and decentralized thinking and so I think the Amazon's move is dangerous at a fundamental level. Because if you can't get it, if you can't get buy domain names and you're completely blackballed by by organized players, that's a Mafia, in my opinion. So, uh, and that and it's also fuels the decentralized move because people say, Hey, if that could be done to them, it could be done to me. Just the fact that it could be done will promote a swing in the other direction. I >>mean, independent of of, you know, again, somebody said your political views. I mean Parlor would say, Hey, we're trying to clean this stuff up now. Maybe they didn't do it fast enough, but you think about how new parlor is. You think about the early days of Twitter and Facebook, so they were sort of at a disadvantage. Trying to >>have it was it was partly was what it was. It was a right wing stand up job of standing up something quick. Their security was terrible. If you look at me and Cory Quinn on be great to have him, and he did a great analysis on this, because if you look the lawsuit was just terrible. Security was just a half, asshole. >>Well, and the experience was horrible. I mean, it's not It was not a great app, but But, like you said, it was a quick stew. Hand up, you know, for an agenda. But nonetheless, you know, to start, get to your point earlier. It's like, you know, Are they gonna, you know, shut me down? If I say something that's, you know, out of line, or how do I control that? >>Yeah, I remember, like, 2019, we involved closing sort of remarks. I was there. I was saying that these companies are gonna be too big to fail. And also, they're too big for other nations to do business with. In a way, I think MNCs are running the show worldwide. They're running the government's. They are way. Have seen the proof of that in us this year. Late last year and this year, um, Twitter last night blocked Chinese Ambassador E in us. Um, from there, you know, platform last night and I was like, What? What's going on? So, like, we used to we used to say, like the Chinese company, tech companies are in bed with the Chinese government. Right. Remember that? And now and now, Actually, I think Chinese people can say the same thing about us companies. Uh, it's not a good thing. >>Well, let's >>get some question. >>Let's get some questions from the chat. Yeah. Thank you. One is on M and a subject you mentioned them in a Who do you see is possible emanate targets. I mean, I could throw a couple out there. Um, you know, some of the cdn players, maybe aka my You know, I like I like Hashi Corp. I think they're doing some really interesting things. What do you see? >>Nothing. Hashi Corp. And anybody who's doing things in the periphery is a candidate for many by the big guys, you know, by the hyper scholars and number two tier two or five hyper scholars. Right. Uh, that's why sales forces of the world and stuff like that. Um, some some companies, which I thought there will be a target, Sort of. I mean, they target they're getting too big, because off their evaluations, I think how she Corpuz one, um, >>and >>their bunch in the networking space. Uh, well, Tara, if I say the right that was acquired by at five this week, this week or last week, Actually, last week for $500 million. Um, I know they're founder. So, like I found that, Yeah, there's a lot going on on the on the network side on the anything to do with data. Uh, that those air too hard areas in the cloud arena >>data, data protection, John, any any anything you could adhere. >>And I think I mean, I think ej ej is gonna be where the gaps are. And I think m and a activity is gonna be where again, the bigger too big to fail would agree with you on that one. But we're gonna look at white Spaces and say a white space for Amazon is like a monster space for a start up. Right? So you're gonna have these huge white spaces opportunities, and I think it's gonna be an M and a opportunity big time start ups to get bought in. Given the speed on, I think you're gonna see it around databases and around some of these new service meshes and micro services. I mean, >>they there's a There's a question here, somebody's that dons asking why is Google who has the most pervasive tech infrastructure on the planet. Not at the same level of other to hyper scale is I'll give you my two cents is because it took him a long time to get their heads out of their ads. I wrote a piece of around that a while ago on they just they figured out how to learn the enterprise. I mean, John, you've made this point a number of times, but they just and I got a late start. >>Yeah, they're adding a lot of people. If you look at their who their hiring on the Google Cloud, they're adding a lot of enterprise chops in there. They realized this years ago, and we've talked to many of the top leaders, although Curry and hasn't yet sit down with us. Um, don't know what he's hiding or waiting for, but they're clearly not geared up to chicken Pete. You can see it with some some of the things that they're doing, but I mean competed the level of Amazon, but they have strength and they're playing their strength, but they definitely recognize that they didn't have the enterprise motions and people in the DNA and that David takes time people in the enterprise. It's not for the faint of heart. It's unique details that are different. You can't just, you know, swing the Google playbook and saying We're gonna home The enterprises are text grade. They knew that years ago. So I think you're going to see a good year for Google. I think you'll see a lot of change. Um, they got great people in there. On the product marketing side is Dev Solution Architects, and then the SRE model that they have perfected has been strong. And I think security is an area that they could really had a lot of value it. So, um always been a big fan of their huge network and all the intelligence they have that they could bring to bear on security. >>Yeah, I think Google's problem main problem that to actually there many, but one is that they don't They don't have the boots on the ground as compared to um, Microsoft, especially an Amazon actually had a similar problem, but they had a wide breath off their product portfolio. I always talk about feature proximity in cloud context, like if you're doing one thing. You wanna do another thing? And how do you go get that feature? Do you go to another cloud writer or it's right there where you are. So I think Amazon has the feature proximity and they also have, uh, aske Compared to Google, there's skills gravity. Larger people are trained on AWS. I think Google is trying there. So second problem Google is having is that that they're they're more focused on, I believe, um, on the data science part on their sort of skipping the cool components sort of off the cloud, if you will. The where the workloads needs, you know, basic stuff, right? That's like your compute storage and network. And that has to be well, talk through e think e think they will do good. >>Well, so later today, Paul Dillon sits down with Mids Avery of Google used to be in Oracle. He's with Google now, and he's gonna push him on on the numbers. You know, you're a distant third. Does that matter? And of course, you know, you're just a preview of it's gonna say, Well, no, we don't really pay attention to that stuff. But, John, you said something earlier that. I think Jerry Chen made this comment that, you know, Is it a winner? Take all? No, but it's a winner. Take a lot. You know the number two is going to get a big chunk of the pie. It appears that the markets big enough for three. But do you? Does Google have to really dramatically close the gap on be a much, much closer, you know, to the to the leaders in orderto to compete in this race? Or can they just kind of continue to bump along, siphon off the ad revenue? Put it out there? I mean, I >>definitely can compete. I think that's like Google's in it. Then it they're not. They're not caving, right? >>So But But I wrote I wrote recently that I thought they should even even put mawr oven emphasis on the cloud. I mean, maybe maybe they're already, you know, doubling down triple down. I just I think that is a multi trillion dollar, you know, future for the industry. And, you know, I think Google, believe it or not, could even do more. Now. Maybe there's just so much you could dio. >>There's a lot of challenges with these company, especially Google. They're in Silicon Valley. We have a big Social Justice warrior mentality. Um, there's a big debate going on the in the back channels of the tech scene here, and that is that if you want to be successful in cloud, you have to have a good edge strategy, and that involves surveillance, use of data and pushing the privacy limits. Right? So you know, Google has people within the country that will protest contract because AI is being used for war. Yet we have the most unstable geopolitical seen that I've ever witnessed in my lifetime going on right now. So, um, don't >>you think that's what happened with parlor? I mean, Rob Hope said, Hey, bar is pretty high to kick somebody off your platform. The parlor went over the line, but I would also think that a lot of the employees, whether it's Google AWS as well, said, Hey, why are we supporting you know this and so to your point about social justice, I mean, that's not something. That >>parlor was not just social justice. They were trying to throw the government. That's Rob e. I think they were in there to get selfies and being protesters. But apparently there was evidence from what I heard in some of these clubhouse, uh, private chats. Waas. There was overwhelming evidence on parlor. >>Yeah, but my point is that the employee backlash was also a factor. That's that's all I'm saying. >>Well, we have Google is your Google and you have employees to say we will boycott and walk out if you bid on that jet I contract for instance, right, But Microsoft one from maybe >>so. I mean, that's well, >>I think I think Tom Poole's making a really good point here, which is a Google is an alternative. Thio aws. The last Google cloud next that we were asked at they had is all virtual issue. But I saw a lot of I T practitioners in the audience looking around for an alternative to a W s just seeing, though, we could talk about Mano Cloud or Multi Cloud, and Andy Jassy has his his narrative around, and he's true when somebody goes multiple clouds, they put you know most of their eggs in one basket. Nonetheless, I think you know, Google's got a lot of people interested in, particularly in the analytic side, um, in in an alternative, hedging their bets eso and particularly use cases, so they should be able to do so. I guess my the bottom line here is the markets big enough to have Really? You don't have to be the Jack Welch. I gotta be number one and number two in the market. Is that the conclusion here? >>I think so. But the data gravity and the skills gravity are playing against them. Another problem, which I didn't want a couple of earlier was Google Eyes is that they have to boot out AWS wherever they go. Right? That is a huge challenge. Um, most off the most off the Fortune 2000 companies are already using AWS in one way or another. Right? So they are the multi cloud kind of player. Another one, you know, and just pure purely somebody going 200% Google Cloud. Uh, those cases are kind of pure, if you will. >>I think it's gonna be absolutely multi cloud. I think it's gonna be a time where you looked at the marketplace and you're gonna think in terms of disaster recovery, model of cloud or just fault tolerant capabilities or, you know, look at the parlor, the next parlor. Or what if Amazon wakes up one day and said, Hey, I don't like the cubes commentary on their virtual events, so shut them down. We should have a fail over to Google Cloud should Microsoft and Option. And one of people in Microsoft ecosystem wants to buy services from us. We have toe kind of co locate there. So these are all open questions that are gonna be the that will become certain pretty quickly, which is, you know, can a company diversify their computing An i t. In a way that works. And I think the momentum around Cooper Netease you're seeing as a great connective tissue between, you know, having applications work between clouds. Right? Well, directionally correct, in my opinion, because if I'm a company, why wouldn't I wanna have choice? So >>let's talk about this. The data is mixed on that. I'll share some data, meaty our data with you. About half the companies will say Yeah, we're spreading the wealth around to multiple clouds. Okay, That's one thing will come back to that. About the other half were saying, Yeah, we're predominantly mono cloud we didn't have. The resource is. But what I think going forward is that that what multi cloud really becomes. And I think John, you mentioned Snowflake before. I think that's an indicator of what what true multi cloud is going to look like. And what Snowflake is doing is they're building abstraction, layer across clouds. Ed Walsh would say, I'm standing on the shoulders of Giants, so they're basically following points of presence around the globe and building their own cloud. They call it a data cloud with a global mesh. We'll hear more about that later today, but you sign on to that cloud. So they're saying, Hey, we're gonna build value because so many of Amazon's not gonna build that abstraction layer across multi clouds, at least not in the near term. So that's a really opportunity for >>people. I mean, I don't want to sound like I'm dating myself, but you know the date ourselves, David. I remember back in the eighties, when you had open systems movement, right? The part of the whole Revolution OS I open systems interconnect model. At that time, the networking stacks for S N A. For IBM, decadent for deck we all know that was a proprietary stack and then incomes TCP I p Now os I never really happened on all seven layers, but the bottom layers standardized. Okay, that was huge. So I think if you look at a W s or some of the comments in the chat AWS is could be the s n a. Depends how you're looking at it, right? And you could say they're open. But in a way, they want more Amazon. So Amazon's not out there saying we love multi cloud. Why would they promote multi cloud? They are a one of the clouds they want. >>That's interesting, John. And then subject is a cloud architect. I mean, it's it is not trivial to make You're a data cloud. If you're snowflake, work on AWS work on Google. Work on Azure. Be seamless. I mean, certainly the marketing says that, but technically, that's not trivial. You know, there are latent see issues. Uh, you know, So that's gonna take a while to develop. What? Do your thoughts there? >>I think that multi cloud for for same workload and multi cloud for different workloads are two different things. Like we usually put multiple er in one bucket, right? So I think you're right. If you're trying to do multi cloud for the same workload, that's it. That's Ah, complex, uh, problem to solve architecturally, right. You have to have a common ap ice and common, you know, control playing, if you will. And we don't have that yet, and then we will not have that for a for at least one other couple of years. So, uh, if you if you want to do that, then you have to go to the lower, lowest common denominator in technical sort of stock, if you will. And then you're not leveraging the best of the breed technology off their from different vendors, right? I believe that's a hard problem to solve. And in another thing, is that that that I always say this? I'm always on the death side, you know, developer side, I think, uh, two deaths. Public cloud is a proxy for innovative culture. Right. So there's a catch phrase I have come up with today during shower eso. I think that is true. And then people who are companies who use the best of the breed technologies, they can attract the these developers and developers are the Mazen's off This digital sort of empires, amazingly, is happening there. Right there they are the Mazen's right. They head on the bricks. I think if you don't appeal to developers, if you don't but extensive for, like, force behind educating the market, you can't you can't >>put off. It's the same game Stepping story was seeing some check comments. Uh, guard. She's, uh, linked in friend of mine. She said, Microsoft, If you go back and look at the Microsoft early days to the developer Point they were, they made their phones with developers. They were a software company s Oh, hey, >>forget developers, developers, developers. >>You were if you were in the developer ecosystem, you were treated his gold. You were part of the family. If you were outside that world, you were competitors, and that was ruthless times back then. But they again they had. That was where it was today. Look at where the software defined businesses and starve it, saying it's all about being developer lead in this new way to program, right? So the cloud next Gen Cloud is going to look a lot like next Gen Developer and all the different tools and techniques they're gonna change. So I think, yes, this kind of developer ecosystem will be harnessed, and that's the power source. It's just gonna look different. So, >>Justin, Justin in the chat has a comment. I just want to answer the question about elastic thoughts on elastic. Um, I tell you, elastic has momentum uh, doing doing very well in the market place. Thea Elk Stack is a great alternative that people are looking thio relative to Splunk. Who people complain about the pricing. Of course it's plunks got the easy button, but it is getting increasingly expensive. The problem with elk stack is you know, it's open source. It gets complicated. You got a shard, the databases you gotta manage. It s Oh, that's what Ed Walsh's company chaos searches is all about. But elastic has some riel mo mentum in the marketplace right now. >>Yeah, you know, other things that coming on the chat understands what I was saying about the open systems is kubernetes. I always felt was that is a bad metaphor. But they're with me. That was the TCP I peep In this modern era, C t c p I p created that that the disruptor to the S N A s and the network protocols that were proprietary. So what KUBERNETES is doing is creating a connective tissue between clouds and letting the open source community fill in the gaps in the middle, where kind of way kind of probably a bad analogy. But that's where the disruption is. And if you look at what's happened since Kubernetes was put out there, what it's become kind of de facto and standard in the sense that everyone's rallying around it. Same exact thing happened with TCP was people were trashing it. It is terrible, you know it's not. Of course they were trashed because it was open. So I find that to be very interesting. >>Yeah, that's a good >>analogy. E. Thinks the R C a cable. I used the R C. A cable analogy like the VCRs. When they started, they, every VC had had their own cable, and they will work on Lee with that sort of plan of TV and the R C. A cable came and then now you can put any TV with any VCR, and the VCR industry took off. There's so many examples out there around, uh, standards And how standards can, you know, flair that fire, if you will, on dio for an industry to go sort of wild. And another trend guys I'm seeing is that from the consumer side. And let's talk a little bit on the consuming side. Um, is that the The difference wouldn't be to B and B to C is blood blurred because even the physical products are connected to the end user Like my door lock, the August door lock I didn't just put got get the door lock and forget about that. Like I I value the expedience it gives me or problems that gives me on daily basis. So I'm close to that vendor, right? So So the middle men, uh, middle people are getting removed from from the producer off the technology or the product to the consumer. Even even the sort of big grocery players they have their APs now, uh, how do you buy stuff and how it's delivered and all that stuff that experience matters in that context, I think, um, having, uh, to be able to sell to thes enterprises from the Cloud writer Breuder's. They have to have these case studies or all these sample sort off reference architectures and stuff like that. I think whoever has that mawr pushed that way, they are doing better like that. Amazon is Amazon. Because of that reason, I think they have lot off sort off use cases about on top of them. And they themselves do retail like crazy. Right? So and other things at all s. So I think that's a big trend. >>Great. Great points are being one of things. There's a question in there about from, uh, Yaden. Who says, uh, I like the developer Lead cloud movement, But what is the criticality of the executive audience when educating the marketplace? Um, this comes up a lot in some of my conversations around automation. So automation has been a big wave to automate this automate everything. And then everything is a service has become kind of kind of the the executive suite. Kind of like conversation we need to make everything is a service in our business. You seeing people move to that cloud model. Okay, so the executives think everything is a services business strategy, which it is on some level, but then, when they say Take that hill, do it. Developers. It's not that easy. And this is where a lot of our cube conversations over the past few months have been, especially during the cova with cute virtual. This has come up a lot, Dave this idea, and start being around. It's easy to say everything is a service but will implement it. It's really hard, and I think that's where the developer lead Connection is where the executive have to understand that in order to just say it and do it are two different things. That digital transformation. That's a big part of it. So I think that you're gonna see a lot of education this year around what it means to actually do that and how to implement it. >>I'd like to comment on the as a service and subject. Get your take on it. I mean, I think you're seeing, for instance, with HP Green Lake, Dell's come out with Apex. You know IBM as its utility model. These companies were basically taking a page out of what I what I would call a flawed SAS model. If you look at the SAS players, whether it's salesforce or workday, service now s a P oracle. These models are They're really They're not cloud pricing models. They're they're basically you got to commit to a term one year, two year, three year. We'll give you a discount if you commit to the longer term. But you're locked in on you. You probably pay upfront. Or maybe you pay quarterly. That's not a cloud pricing model. And that's why I mean, they're flawed. You're seeing companies like Data Dog, for example. Snowflake is another one, and they're beginning to price on a consumption basis. And that is, I think, one of the big changes that we're going to see this decade is that true cloud? You know, pay by the drink pricing model and to your point, john toe, actually implement. That is, you're gonna need a whole new layer across your company on it is quite complicated it not even to mention how you compensate salespeople, etcetera. The a p. I s of your product. I mean, it is that, but that is a big sea change that I see coming. Subject your >>thoughts. Yeah, I think like you couldn't see it. And like some things for this big tech exacts are hidden in the plain >>sight, right? >>They don't see it. They they have blind spots, like Look at that. Look at Amazon. They went from Melissa and 200 millisecond building on several s, Right, Right. And then here you are, like you're saying, pay us for the whole year. If you don't use the cloud, you lose it or will pay by month. Poor user and all that stuff like that that those a role models, I think these players will be forced to use that term pricing like poor minute or for a second, poor user. That way, I think the Salesforce moral is hybrid. They're struggling in a way. I think they're trying to bring the platform by doing, you know, acquisition after acquisition to be a platform for other people to build on top off. But they're having a little trouble there because because off there, such pricing and little closeness, if you will. And, uh, again, I'm coming, going, going back to developers like, if you are not appealing to developers who are writing the latest and greatest code and it is open enough, by the way open and open source are two different things that we all know that. So if your platform is not open enough, you will have you know, some problems in closing the deals. >>E. I want to just bring up a question on chat around from Justin didn't fitness. Who says can you touch on the vertical clouds? Has your offering this and great question Great CP announcing Retail cloud inventions IBM Athena Okay, I'm a huge on this point because I think this I'm not saying this for years. Cloud computing is about horizontal scalability and vertical specialization, and that's absolutely clear, and you see all the clouds doing it. The vertical rollouts is where the high fidelity data is, and with machine learning and AI efforts coming out, that's accelerated benefits. There you have tow, have the vertical focus. I think it's super smart that clouds will have some sort of vertical engine, if you will in the clouds and build on top of a control playing. Whether that's data or whatever, this is clearly the winning formula. If you look at all the successful kind of ai implementations, the ones that have access to the most data will get the most value. So, um if you're gonna have a data driven cloud you have tow, have this vertical feeling, Um, in terms of verticals, the data on DSO I think that's super important again, just generally is a strategy. I think Google doing a retail about a super smart because their whole pitches were not Amazon on. Some people say we're not Google, depending on where you look at. So every of these big players, they have dominance in the areas, and that's scarce. Companies and some companies will never go to Amazon for that reason. Or some people never go to Google for other reasons. I know people who are in the ad tech. This is a black and we're not. We're not going to Google. So again, it is what it is. But this idea of vertical specialization relevant in super >>forts, I want to bring to point out to sessions that are going on today on great points. I'm glad you asked that question. One is Alan. As he kicks off at 1 p.m. Eastern time in the transformation track, he's gonna talk a lot about the coming power of ecosystems and and we've talked about this a lot. That that that to compete with Amazon, Google Azure, you've gotta have some kind of specialization and vertical specialization is a good one. But of course, you see in the big Big three also get into that. But so he's talking at one o'clock and then it at 3 36 PM You know this times are strange, but e can explain that later Hillary Hunter is talking about she's the CTO IBM I B M's ah Financial Cloud, which is another really good example of specifying vertical requirements and serving. You know, an audience subject. I think you have some thoughts on this. >>Actually, I lost my thought. E >>think the other piece of that is data. I mean, to the extent that you could build an ecosystem coming back to Alan Nancy's premise around data that >>billions of dollars in >>their day there's billions of dollars and that's the title of the session. But we did the trillion dollar baby post with Jazzy and said Cloud is gonna be a trillion dollars right? >>And and the point of Alan Answer session is he's thinking from an individual firm. Forget the millions that you're gonna save shifting to the cloud on cost. There's billions in ecosystems and operating models. That's >>absolutely the business value. Now going back to my half stack full stack developer, is the business value. I've been talking about this on the clubhouses a lot this past month is for the entrepreneurs out there the the activity in the business value. That's the new the new intellectual property is the business logic, right? So if you could see innovations in how work streams and workflow is gonna be a configured differently, you have now large scale cloud specialization with data, you can move quickly and take territory. That's much different scenario than a decade ago, >>at the point I was trying to make earlier was which I know I remember, is that that having the horizontal sort of features is very important, as compared to having vertical focus. You know, you're you're more healthcare focused like you. You have that sort of needs, if you will, and you and our auto or financials and stuff like that. What Google is trying to do, I think that's it. That's a good thing. Do cook up the reference architectures, but it's a bad thing in a way that you drive drive away some developers who are most of the developers at 80 plus percent, developers are horizontal like you. Look at the look into the psyche of a developer like you move from company to company. And only few developers will say I will stay only in health care, right? So I will only stay in order or something of that, right? So they you have to have these horizontal capabilities which can be applied anywhere on then. On top >>of that, I think that's true. Sorry, but I'll take a little bit different. Take on that. I would say yes, that's true. But remember, remember the old school application developer Someone was just called in Application developer. All they did was develop applications, right? They pick the framework, they did it right? So I think we're going to see more of that is just now mawr of Under the Covers developers. You've got mawr suffer defined networking and software, defined storage servers and cloud kubernetes. And it's kind of like under the hood. But you got your, you know, classic application developer. I think you're gonna see him. A lot of that come back in a way that's like I don't care about anything else. And that's the promise of cloud infrastructure is code. So I think this both. >>Hey, I worked. >>I worked at people solved and and I still today I say into into this context, I say E r P s are the ultimate low code. No code sort of thing is right. And what the problem is, they couldn't evolve. They couldn't make it. Lightweight, right? Eso um I used to write applications with drag and drop, you know, stuff. Right? But But I was miserable as a developer. I didn't Didn't want to be in the applications division off PeopleSoft. I wanted to be on the tools division. There were two divisions in most of these big companies ASAP. Oracle. Uh, like companies that divisions right? One is the cooking up the tools. One is cooking up the applications. The basketball was always gonna go to the tooling. Hey, >>guys, I'm sorry. We're almost out of time. I always wanted to t some of the sections of the day. First of all, we got Holder Mueller coming on at lunch for a power half hour. Um, you'll you'll notice when you go back to the home page. You'll notice that calendar, that linear clock that we talked about that start times are kind of weird like, for instance, an appendix coming on at 1 24. And that's because these air prerecorded assets and rather than having a bunch of dead air, we're just streaming one to the other. So so she's gonna talk about people, process and technology. We got Kathy Southwick, whose uh, Silicon Valley CEO Dan Sheehan was the CEO of Dunkin Brands and and he was actually the c 00 So it's C A CEO connecting the dots to the business. Daniel Dienes is the CEO of you I path. He's coming on a 2:47 p.m. East Coast time one of the hottest companies, probably the fastest growing software company in history. We got a guy from Bain coming on Dave Humphrey, who invested $750 million in Nutanix. He'll explain why and then, ironically, Dheeraj Pandey stew, Minuteman. Our friend interviewed him. That's 3 35. 1 of the sessions are most excited about today is John McD agony at 403 p. M. East Coast time, she's gonna talk about how to fix broken data architectures, really forward thinking stuff. And then that's the So that's the transformation track on the future of cloud track. We start off with the Big Three Milan Thompson Bukovec. At one oclock, she runs a W s storage business. Then I mentioned gig therapy wrath at 1. 30. He runs Azure is analytics. Business is awesome. Paul Dillon then talks about, um, IDs Avery at 1 59. And then our friends to, um, talks about interview Simon Crosby. I think I think that's it. I think we're going on to our next session. All right, so keep it right there. Thanks for watching the Cuban cloud. Uh huh.

Published Date : Jan 22 2021

SUMMARY :

cloud brought to you by silicon angle, everybody I was negative in quarantine at a friend's location. I mean, you go out for a walk, but you're really not in any contact with anybody. And I think we're in a new generation. The future of Cloud computing in the coming decade is, John said, we're gonna talk about some of the public policy But the goal here is to just showcase it's Whatever you wanna call it, it's a cube room, and the people in there chatting and having a watch party. that will take you into the chat, we'll take you through those in a moment and share with you some of the guests And then from there you just It was just awesome. And it kind of ironic, if you will, because the pandemic it hits at the beginning of this decade, And if you weren't a digital business, you were kind of out of business. last 10 years defined by you know, I t transformation. And if you look at some of the main trends in the I think the second thing is you can see on this data. Everybody focuses on the growth rates, but it's you gotta look at also the absolute dollars and, So you know, as you're doing trends job, they're just it's just pedal as fast as you can. It's a measure of the pervasiveness or, you know, number of mentions in the data set. And I think that chart demonstrates that there, in there in the hyper scale leadership category, is they're, you know, they're just good enough. So we'll get to those So just just real quick Here you see this hybrid zone, this the field is bunched But I think one of the things that people are missing and aren't talking about Dave is that there's going to be a second Can you hear us? So the first question, Um, we'll still we'll get the student second. Thanks for taking the time with us. I mean, what do you guys see? I think that discussion has to take place. I think m and a activity really will pick up. I mean, can you use a I to find that stuff? So if I wanted to reset the world stage, you know what better way than the, and that and it's also fuels the decentralized move because people say, Hey, if that could be done to them, mean, independent of of, you know, again, somebody said your political views. and he did a great analysis on this, because if you look the lawsuit was just terrible. But nonetheless, you know, to start, get to your point earlier. you know, platform last night and I was like, What? you know, some of the cdn players, maybe aka my You know, I like I like Hashi Corp. for many by the big guys, you know, by the hyper scholars and if I say the right that was acquired by at five this week, And I think m and a activity is gonna be where again, the bigger too big to fail would agree with Not at the same level of other to hyper scale is I'll give you network and all the intelligence they have that they could bring to bear on security. The where the workloads needs, you know, basic stuff, right? the gap on be a much, much closer, you know, to the to the leaders in orderto I think that's like Google's in it. I just I think that is a multi trillion dollar, you know, future for the industry. So you know, Google has people within the country that will protest contract because I mean, Rob Hope said, Hey, bar is pretty high to kick somebody off your platform. I think they were in there to get selfies and being protesters. Yeah, but my point is that the employee backlash was also a factor. I think you know, Google's got a lot of people interested in, particularly in the analytic side, is that they have to boot out AWS wherever they go. I think it's gonna be a time where you looked at the marketplace and you're And I think John, you mentioned Snowflake before. I remember back in the eighties, when you had open systems movement, I mean, certainly the marketing says that, I think if you don't appeal to developers, if you don't but extensive She said, Microsoft, If you go back and look at the Microsoft So the cloud next Gen Cloud is going to look a lot like next Gen Developer You got a shard, the databases you gotta manage. And if you look at what's happened since Kubernetes was put out there, what it's become the producer off the technology or the product to the consumer. Okay, so the executives think everything is a services business strategy, You know, pay by the drink pricing model and to your point, john toe, actually implement. Yeah, I think like you couldn't see it. I think they're trying to bring the platform by doing, you know, acquisition after acquisition to be a platform the ones that have access to the most data will get the most value. I think you have some thoughts on this. Actually, I lost my thought. I mean, to the extent that you could build an ecosystem coming back to Alan Nancy's premise But we did the trillion dollar baby post with And and the point of Alan Answer session is he's thinking from an individual firm. So if you could see innovations Look at the look into the psyche of a developer like you move from company to company. And that's the promise of cloud infrastructure is code. I say E r P s are the ultimate low code. Daniel Dienes is the CEO of you I path.

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Tarek Madkour, UiPath | The Release Show: Post Event Analysis


 

>>from around the globe. It's the Cube with digital coverage of you. I path live the release show brought to you by you. I path everyone. Welcome back. This is Dave Vellante for the human. We've been covering the r P a market now for quite some time. Yeah, I pastor said this huge announcement. Then we're gonna update you on the space. As you know, we've been quantifying this with our partners at ET are one of the areas that you I path is obviously focused on talking about scaling. If you wanna win in r p. A. You got a scale you want to scale. You gotta have cloud, though. Eric Metaphor is here. He's the director of product management. That you either path, We're gonna talk Cloud. Tara. Good to see you. Thanks for coming on. >>Thank you. Didn't get to see you as well. >>Yes. So you know, you guys have this huge announcement. Um, there are really four major components, if you will. That you extended the core platform. You talked about more automation? More ai smarter robots. The whole end to end. When you guys talk about the what? Sometimes it gets a little buzz, wordy, but that hyper automation, it's got to be end end. You've got to take a systems view, and then you got to put the tools in the hands of regular people. If you want to have a robot for every person, it's got to be simple. You've got to democratize uh, R p A. So my question is, where does the cloud fit into all this? >>You know, the cloud is the one that wraps it all up together. So for us, it's very important to make it easy for people to start instantly. You when you when you start to decide that you want to do in investment in r P A. And you really want to get started very quickly. And the second thing is, you eventually want to grow that are being investment, and the cloud makes it super easy for you to scale out of it. So Cloud makes it easy for you to start instantly and scaling. >>You think about the cloud you know, kind of started with. I guess it's sort of started with Salesforce back in 1999 kind of pre cloud. But certainly, you know so many functions and software areas have been cloud ified. You saw it with the email. You certainly where you start with I t s m. Which was kind of a heavy lift. You certainly see it with With HR. You seen it with data protection and backup. You see, do you see r p A. Is kind of the next big wave of cloud ification. >>Well, I absolutely think that cloud is gonna be very big in our be a. So from our perspective, when you start thinking about are you really thinking about automation? You want your automation is the light up and to save you money and to cut time for you and the investment thing that's going to remind what's going through your mind is not setting up infrastructure and, you know, configuring machines and selling software to make our p possible that the cloud makes it super easy for you to just cut down that I t infrastructure investment and go right ahead into what you really care about, which is the automation. So I think it's gonna be big that we allow you to just go directly to automation. I want RB start thinking about automation for good infrastructure lead that blood. >>So there's obviously you hear a lot of narrative in the marketplace about Cloud Cloud native. You see some companies or dogmatic will never do on had Frank's loop in a little while ago. So we're not doing our friend. That's Ah, that's a halfway house. You guys have taken a different approach, obviously started on Prem and now you're moving to the cloud. What? What's your philosophy on that? You know, Why wouldn't everybody do Cloud >>makes sense. So for us, we're very pragmatic about We believe that customers are different stages in their cloud adoption. Some people are extremely cloud friendly and have already put in place at plans for making sure that everything is already in the cloud. There are companies that are cloud native. They were born in the cloud that if you go a nascent install a piece of software in the local server, they would just laugh at you. So that's on one end of the spectrum and you want to make sure that those people can take full capability of our. On the other hand, there are people who are still, you know, coming from on Prem servers who are trying to move to the cloud to have plans to move to the cloud who would like to try some components in the CLI. But they still have some legacy systems that exist on Prem or a lot of systems that exist, and we want to make sure that those people are also able to take care of our key. And on the other end of the spectrum, there are industries or some companies and some industries that just are not ready for the cloud at all. And from our perspective, we want to democratize our key. We want our P available for everyone. So it is our philosophy that we're going to give you a multitude of the women options. If you want on Prem all the way, we got it. If you want cloud all the way we got, you want the hybrid assistant, We got it. We're just going to make it possible for you. And the deployment choice is your choice >>and the experience on Prem and Cloud. It's substantially identical. Would you say it's completely identical? What? What's the Delta? >>That is absolutely one of our goals. It is absolutely a gore for Google for you. I have to make sure that if you are an on Prem customer and you are starting to use some cloud, that your experiences seamless between on premises and in the cloud if you are a cloud customer and you have some components that still exist on Prem, if you want to use them, is very important for us that you have that common experience between both. So our software is designed with a common experience of the core, and it's actually the same software that runs from a user experience perspective in the cloud and on premises. Now, obviously, a lot of the infrastructure is different than a lot of the security aspects are different. But the user experience itself is, you know, consistently the same and intentionally that way. >>So when people talk about cloud or not, this is often site, you know, several things. Clearly, Layton sees a factor. If your data lives on, you know, on Prem, maybe you want to do things on Prem. There's local laws, data sovereignty. Uh, there's there's corporate edicts. Okay, we're not going to the cloud now. Maybe with Covad, that's that's changing somewhat, but so what are you hearing from customers just in terms of the rationale on Prem versus Cloud Hybrid. What are some of the decision points? >>Those are all good points, Dave. That's exactly the kind of stuff that we hear from our customers. So I think the main things that we hear in terms of cloud is about security people rightfully. So. When you start talking about cloud that they start asking, Can I really trust you as a vendor? With my data, I'm giving you my sales data. I'm giving you my HR data. I mean, this is some confidential information. Can I really trust you with that data? So that's one thing we absolutely, I start taking care off with large focus on security, and I can definitely dive deeper into that if you want. In addition to that, privacy and data sovereignty and where data lives is a big deal. So from our perspective, we host your data as an enterprise customer in three different locations. We host demand. We have servers in the United States. We have servers in Europe. We have servers in Japan, and as a customer you get to choose where data lives and we keep it the way you thoughts s so that kind of helps with data sovereignty because some countries, as you mentioned or some cos there's mentioned really have strict rules about that. Also, that helps with the legacy aspect. So if you're a customer in Japan, you would really prefer to use our Japan Data Center as opposed to a You know, your it's simple. >>The customers care, like where your cloud infrastructure lives. Are they asking you about that? They did they? Did they probe you on that? I mean specifically in terms of your cloud partner, like maybe you could talk about that a little bit. >>Absolutely. People definitely care about who we use and where the data is going to lie. And so from our perspective, for example, we're partnered with Microsoft and all our infrastructures. They don't Microsoft Azure, and, uh, we use data centers from Microsoft Azure through the whole start stuff, and that's a really good for multiple reads as it provides some very good uptime and reliability guarantees. In addition to that, they have service around the world that we can utilize so that we can expect, for example, for a next frontier becomes for example, in Australia, New Zealand. Then we want to create a reason they're being on top of Azure really allows us to go and spend that off pretty quickly and help customers that way. >>So we don't want things about Cloud is you can you can experiment very cheaply and you can fail fast and then iterating. So one of the things that struck me about your announcement was your community edition. I always look for, you know, Is there a community edition? Is that in addition, free for life? Is it neutered? In other words, can I actually do anything with it? Um, so I was happy to see that you guys had that. And also happy to see I mean, you've got I think it's early days for you, but I think that you have 200 enterprise customers, two orders of magnitude greater than that from the community edition. Did I get that right? >>That's great. Yes, absolutely. So when you think about the automation, cloud comes into play. But we have a community, the one for community, and that is the free version. And it's as you said, it's not like a pretrial or three limited time or something. It was just free as in free, free forever. We're gonna keep it to you. That's all you need. Just use it. No questions asked. You know, be happy with it. And the community edition actually is, is a fully functional product, and it allows you to do to get to attended robots one unattended robot and you get the option of connecting up the studio to two studios for designing animations. Work with those s so it's it's it allows it. That's all your automation needs, like small automation needs. Just go ahead and use it. If you're a small company or an individual or a small team, just use the community edition and you want to use that production. That's fine. No problem. That's all you need to go for it, then the and we have tens of thousands of community customers that are actively using the product. I'm not talking about the people that have ever signed up on left. Those are a lot more than that, but I'm talking about actually actively using the product. We've got tens of thousands of users as they're using it every month and built on that same infrastructure comes our Enterprise Edition, and the Enterprise edition is a basically the same infrastructure. But it adds a number of capabilities that are useful for a larger enterprise, of course, the most important of which is an uptime guarantee. So, you know, with the community edition, obviously we keep the service. Often we have very good response times, but with enterprise, you actually get enough time guarantee. In addition to that, you get access to our sport. They have a dedicated support team that works 24 7 around the clock and multiple reasons, and you get guaranteed response times with the mass away. On top of that, you get to be able to purchase is many robots as you want, and the list goes on and on and on. And it's very easy to go. Like you said, from playing with community, working with community, using that doing a trial, it's instinct as well. You just click a button, and all of a sudden, now you have five robots that each night that you can use for 60 days, and from there you can just go ahead and buy. >>We'll talk more about the uptime guarantee is that basically Azure s l A. So the data layer on top of that, you know, what are we measuring there? You could add some color. >>Absolutely. A startup and guarantee is built on top of azure, obviously. But we provide our own uptime guarantee regardless of what happens in the underlying system. Eso From our perspective, we guarantee that the service is going to be out at a specific amount of time. So we measure the number of minutes every month that the service should actually be up. And we measure the number of ministers service experiences, any kind of downtime. And we measure down. I'm in multiple ways. So we do outside in testing. Or, you know, if you're a customer, are you able to reach our service or not that we do incredible detail the monitoring and reporting on the life off our service itself from inside and And we look at any minute, any of those the services that we use underlying services are not responding to customers, and we count those down as well. So and we guarantee that there's a specific number of minutes that the service will be down, and that's >>it. And So if I understand it, you're really taking an application. You It's not the light on the server. It's It's the it's Can I get to you as a customer? Yeah. My state, my service, your >>perspective. Are you able to reach our service and do what you're expected to do with it? That's what you as a customer, really care about and in turn, that's the right way for us to be measuring up. >>And if I don't? If you don't hit, that s L. A. What? I get re credit. So how does that >>work? Absolutely, we have in our agreements and provision for penalties on the outside, we don't hit that escalate. And similarly for support. You know, if you call support, you're guaranteed depending on the severity of the issue on the back of contract that sport. Uh, you know how many minutes it takes us for somebody to be engaged with you on that issue? And we have very good numbers and hitting. That s L. A. And if we don't? They're also penalties on the outside for that. I think this is a real enterprise services you'd expect. >>Yeah, Great. I want to get to take some examples. You've got a couple 100 customers I think you mentioned should hopefully was up and running very quickly. I think you had some other examples, but but what can you share with us in terms of actual experience that your customers have seen? >>Absolutely. So we were thinking a very measured and careful approach, actually launching our service. So even though our service literally just launched last week fully to the world, we have actually been enabling enterprise customers we've been. We started a private preview with four customers and back in April of last year. And then we extended that to a public preview for any customer to try our service, as is no payment but also no guarantees. Back in the day, I want to say June of last year and then it took us all the way to December to feel comfortable that the services of the place where when we launch it, customers are going to get an excellent quality. And that's when we did a what we call a limited availability where we started on boarding enterprise customers step by step. We started with 10. We went to 50. We went to 100 now we have a couple 100 customers that already signed up, using the enterprise product every day as a guaranteed service and getting that Sele's that we've promised. So this was the time when we said, You know what? I think we've definitely been meeting our SL A's for five months running. Now we feel very comfortable lunch the rest, >>even if it's anecdotal. Have you discerned appreciable change in people's attitude toward cloud as a result of over? >>Absolutely, absolutely. I mean, it's just the aspect of working from home and having a lot of people just not available either demand infrastructure or demand servers made. A lot of people think about what is the best way to continue to run on information while they're at it. And obviously there's nothing easier than granting access to someone in the cloud to access a service from home. Then, if you were to bring them access to an on premise service with BP and all that stuff, and then if you want the provisioning new robots and machines and you have to do that again on premises, you know it's it's it's a lot more complicated. So a lot of customers are really starting to look at the cloud so many of the conversations that we would have, obviously we come in and they would ask us about the capabilities of our system. They would ask about security that ask a lot of things and those discussions, you know, anywhere between, you know, a few days to sometimes a few months. You know, some customers is just a great for those. The volume of customers that's asking about cloud is definitely increasing good for us. Obviously the number of deals were signed exalts increasing. But most importantly, I think that the number of customers that are benefiting from the value of starting instantly like cloud scale easily in the cloud. And you mentioned the example of Chipotle. And while that was engagement that we had obviously for the core of it, you know, they were very impressed with what they were able to do with The came in and falling and team had budgeted about two weeks to get started and set up everything so that they can build on top of that in their automation. And they, they chose wisely, do start in the cloud and As a result, they were done and all set up in one day. So it is definitely a huge difference between what you're able to get in the cloud person. So what you're doing? >>Well, you have passed all about automation. And and so is the cloud. The superpowers of this decade Cloud data A You guys were, you know, at the heart of all those Eric. Thanks so much for coming on the cube in explaining sort of your cloud angle. Really Appreciate your time. >>Thank you very much, Dave. It's a pleasure to be here. >>Alright? And thank you for watching everybody. More coverage on the r p. A market analysis digging into your past recent announcement stable people want to have right back right after this short break. Yeah, yeah, yeah, yeah, yeah

Published Date : May 21 2020

SUMMARY :

I path live the release show brought to you by you. Didn't get to see you as well. and then you got to put the tools in the hands of regular people. You when you when you start to decide that you want to do You think about the cloud you know, kind of started with. So I think it's gonna be big that we allow you to just go directly So there's obviously you hear a lot of narrative in the marketplace about Cloud Cloud native. So that's on one end of the spectrum and you want to make Would you say it's completely identical? if you are an on Prem customer and you are starting to use some cloud, So when people talk about cloud or not, this is often site, you know, keep it the way you thoughts s so that kind of helps with data sovereignty because some countries, Did they probe you on that? so that we can expect, for example, for a next frontier becomes for example, in Australia, So we don't want things about Cloud is you can you can experiment very cheaply and you can fail 7 around the clock and multiple reasons, and you get guaranteed response times with the mass away. So the data layer on top of that, you know, what are we measuring there? Or, you know, if you're a customer, are you able to reach our service or not that we do incredible detail the monitoring It's It's the it's Can I get to you as a Are you able to reach our service and do what you're expected to do with it? If you don't hit, that s L. A. What? You know, if you call support, you're guaranteed depending on the severity of the issue on the back of contract but but what can you share with us in terms of actual experience that your customers have seen? So we were thinking a very measured and careful approach, Have you discerned appreciable change that we had obviously for the core of it, you know, this decade Cloud data A You guys were, you know, And thank you for watching everybody.

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Aviatrix Altitude 2020, Full Event | Santa Clara, CA


 

ladies and gentlemen this is your captain speaking we will soon be taking off on our way to altitude please keep your seatbelts fastened and remain in your seats we will be experiencing turbulence until we are above the clouds ladies and gentlemen we are now cruising at altitude sit back and enjoy the ride [Music] altitude is a community of thought leaders and pioneers cloud architects and enlightened network engineers who have individually and are now collectively leading their own IT teams and the industry on a path to lift cloud networking above the clouds empowering Enterprise IT to architect design and control their own cloud network regardless of the turbulent clouds beneath them it's time to gain altitude ladies and gentlemen Steve Mulaney president and CEO of aviatrix the leader of multi cloud networking [Music] [Applause] all right good morning everybody here in Santa Clara as well as to the what millions of people watching the livestream worldwide welcome to altitude 2020 alright so we've got a fantastic event today really excited about the speakers that we have today and the experts that we have and really excited to get started so one of the things I wanted to just share was this is not a one-time event this is not a one-time thing that we're gonna do sorry for the aviation analogy but you know sherry way aviatrix means female pilot so everything we do as an aviation theme this is a take-off for a movement this isn't an event this is a take-off of a movement a multi-cloud networking movement and community that we're inviting all of you to become part of and-and-and why we're doing that is we want to enable enterprises to rise above the clouds so to speak and build their network architecture regardless of which public cloud they're using whether it's one or more of these public clouds so the good news for today there's lots of good news but this is one good news is we don't have any powerpoint presentations no marketing speak we know that marketing people have their own language we're not using any of that in those sales pitches right so instead what are we doing we're going to have expert panels we've got Simone Rashard Gartner here we've got 10 different network architects cloud architects real practitioners they're going to share their best practices and there are real-world experiences on their journey to the multi cloud so before we start and everybody know what today is in the u.s. it's Super Tuesday I'm not gonna get political but Super Tuesday there was a bigger Super Tuesday that happened 18 months ago and maybe eight six employees know what I'm talking about 18 months ago on a Tuesday every enterprise said I'm gonna go to the cloud and so what that was was the Cambrian explosion for cloud for the price so Frank kibrit you know what a Cambrian explosion is he had to look it up on Google 500 million years ago what happened there was an explosion of life where it went from very simple single-cell organisms to very complex multi-celled organisms guess what happened 18 months ago on a Tuesday I don't really know why but every enterprise like I said all woke up that day and said now I'm really gonna go to cloud and that Cambrian explosion of cloud went meant that I'm moving from very simple single cloud single use case simple environment to a very complex multi cloud complex use case environment and what we're here today is we're gonna go and dress that and how do you handle those those those complexities and when you look at what's happening with customers right now this is a business transformation right people like to talk about transitions this is a transformation and it's actually not just the technology transformation it's a business transformation it started from the CEO and the boards of enterprise customers where they said I have an existential threat to the survival of my company if you look at every industry who they're worried about is not the other 30 year old enterprise what they're worried about is the three year old enterprise that's leveraging cloud that's leveraging AI and that's where they fear that they're going to actually get wiped out right and so because of this existential threat this is CEO lead this is board led this is not technology led it is mandated in the organization's we are going to digitally transform our enterprise because of this existential threat and the movement to cloud is going to enable us to go do that and so IT is now put back in charge if you think back just a few years ago in cloud it was led by DevOps it was led by the applications and it was like I said before their Cambrian explosion is very simple now with this Cambrian explosion and enterprises getting very serious and mission critical they care about visibility they care about control they care about compliance conformance everything governance IT is in charge and and and that's why we're here today to discuss that so what we're going to do today is much of things but we're gonna validate this journey with customers did they see the same thing we're gonna validate the requirements for multi-cloud because honestly I've never met an enterprise that is not going to be multi-cloud many are one cloud today but they all say I need to architect my network for multiple clouds because that's just what the network is there to support the applications and the applications will run and whatever cloud it runs best in and you have to be prepared for that the second thing is is architecture again with IT in charge you architecture matters whether it's your career whether it's how you build your house it doesn't matter horrible architecture your life is horrible forever good architecture your life is pretty good so we're gonna talk about architecture and how the most fundamental and critical part of that architecture and that basic infrastructure is the network if you don't get that right nothing works right way more important and compute way more important than storm dense storage network is the foundational element of your infrastructure then we're going to talk about day 2 operations what does that mean well day 1 is one day of your life that's who you wire things up they do and beyond I tell everyone in networking and IT it's every day of your life and if you don't get that right your life is bad forever and so things like operations visibility security things like that how do I get my operations team to be able to handle this in an automated way because it's not just about configuring it in the cloud it's actually about how do I operationalize it and that's a huge benefit that we bring as aviatrix and then the last thing we're going to talk and it's the last panel we have I always say you can't forget about the humans right so all this technology all these things that we're doing it's always enabled by the humans at the end of the day if the humans fight it it won't get deployed and we have a massive skills gap in cloud and we also have a massive skill shortage you have everyone in the world trying to hire cloud network architects right there's just not enough of them going around so at aviatrix we as leaders do we're gonna help address that issue and try to create more people we created a program and we call the ACE program again an aviation theme it stands for aviatrix certified engineer very similar to what Cisco did with CCI ease where Cisco taught you about IP networking a little bit of Cisco we're doing the same thing we're gonna teach network architects about multi-cloud networking and architecture and yeah you'll get a little bit of aviatrix training in there but this is the missing element for people's careers and also within their organization so we're gonna we're gonna go talk about that so great great event great show when to try to keep it moving I'd next want to introduce my my host he's the best in the business you guys have probably seen him multiple million times he's the co CEO and co-founder of tube Jon Fourier okay awesome great great speech they're awesome I'd totally agree with everything you said about the explosion happening and I'm excited here at the heart of Silicon Valley to have this event it's a special digital event with the cube and aviatrix were we live streaming to millions of people as you said maybe not a million maybe not really take this program to the world this is a little special for me because multi-cloud is the hottest wave and cloud and cloud native networking is fast becoming the key engine of the innovation so we got an hour and a half of action-packed programming we have a customer panel two customer panels before that Gartner is going to come on talk about the industry we have a global system integrators we talk about how they're advising and building these networks and cloud native networking and then finally the Aces the aviatrix certified engineer is gonna talk more about their certifications and the expertise needed so let's jump right in and let's ask someone rashard to come on stage from Gartner check it all up [Applause] okay so kicking things off sitting started gartner the industry experts on cloud really kind of more to your background talk about your background before you got the gardener yeah before because gardener was a chief network architect of a fortune five companies with thousands of sites over the world and I've been doing everything and IT from a C programmer in a 92 a security architect to a network engineer to finally becoming a network analyst so you rode the wave now you're covering at the marketplace with hybrid cloud and now moving quickly to multi cloud is really was talking about cloud natives been discussed but the networking piece is super important how do you see that evolving well the way we see Enterprise adapt in cloud first thing you do about networking the initial phases they either go in a very ad hoc way is usually led by non non IT like a shadow I to your application people are some kind of DevOps team and it's it just goes as it's completely unplanned decreed VP sees left and right with different account and they create mesh to manage them and their direct connect or Express route to any of them so that's what that's a first approach and on the other side again it within our first approach you see what I call the lift and shift way we see like enterprise IT trying to basically replicate what they have in a data center in the cloud so they spend a lot of time planning doing Direct Connect putting Cisco routers and f5 and Citrix and any checkpoint Palo Alto divides that the audinate that are sent removing that to that cloud and I ask you the aha moments gonna come up a lot of our panels is where people realize that it's a multi cloud world I mean they either inherit clouds certainly they're using public cloud and on-premises is now more relevant than ever when's that aha moment that you're seeing where people go well I got to get my act together and get on this well the first but even before multi-cloud so these two approach the first one like the ad hoc way doesn't scale at some point idea has to save them because they don't think about the two they don't think about operations they have a bunch of VPC and multiple clouds the other way that if you do the left and shift wake they cannot take any advantages of the cloud they lose elasticity auto-scaling pay by the drink these feature of agility features so they both realize okay neither of these ways are good so I have to optimize that so I have to have a mix of what I call the cloud native services within each cloud so they start adapting like other AWS constructor is your construct or Google construct then that's what I call the optimal phase but even that they realize after that they are very different all these approaches different the cloud are different identities is completely difficult to manage across clouds I mean for example AWS has accounts there's subscription and in adarand GCP their projects it's a real mess so they realize well I can't really like concentrate use the cloud the cloud product and every cloud that doesn't work so I have I'm doing multi cloud I like to abstract all of that I still wanna manage the cloud from an API to interview I don't necessarily want to bring my incumbent data center products but I have to do that in a more API driven cloud they're not they're not scaling piece and you were mentioning that's because there's too many different clouds yes that's the piece there so what are they doing whether they really building different development teams as its software what's the solution well this the solution is to start architecting the cloud that's the third phase I call that the multi cloud architect phase where they have to think about abstraction that works across cloud fact even across one cloud it might not scale as well if you start having like 10,000 security group in AWS that doesn't scale you have to manage that if you have multiple VPC it doesn't scale you need a third party identity provider so it barely scales within one cloud if you go multiple cloud it gets worse and worse see way in here what's your thoughts I thought we said this wasn't gonna be a sales pitch for aviatrix you just said exactly what we do so anyway I'm just a joke what do you see in terms of where people are in that multi-cloud so a lot of people you know everyone I talked to started in one cloud right but then they look and they say okay but I'm now gonna move to adjourn I'm gonna move do you see a similar thing well yes they are moving but they're not there's not a lot of application that use a tree cloud at once they move one app in deserve one app in individuals one get happen Google that's what we see so far okay yeah I mean one of the mistakes that people think is they think multi-cloud no one is ever gonna go multi-cloud for arbitrage they're not gonna go and say well today I might go into Azure because I got a better rate of my instance that's never do you agree with that's never going to happen what I've seen with enterprise is I'm gonna put the workload in the app the app decides where it runs best that may be a sure maybe Google and for different reasons and they're gonna stick there and they're not gonna move let me ask you infrastructure has to be able to support from a networking team be able to do that do you agree with that yes I agree and one thing is also very important is connecting to that cloud is kind of the easiest thing so though while their network part of the cloud connectivity to the cloud is kind of simple I agree IPSec VP and I reckon Express that's a simple part what's difficult and even a provisioning part is easy you can use terraform and create v pieces and v nets across which free cloud providers right what's difficult is the day-to-day operations so it's what to find a to operations what is that what does that actually mean this is the day-to-day operations after you know the natural let's add an app let's add a server let's troubleshoot a problem so so your life something changes how would he do so what's the big concerns I want to just get back to this cloud native networking because everyone kind of knows with cloud native apps are that's been a hot trend what is cloud native networking how do you how do you guys define that because that seems to be the oddest part of the multi cloud wave that's coming as cloud native networking well there's no you know official garner definition but I can create one on and if another spot is do it I just want to leverage the cloud construct and a cloud epi I don't want to have to install like like for example the first version was let's put a virtual router that doesn't even understand and then the cloud environment right if I have if I have to install a virtual machine it has to be cloud aware it has to understand the security group if it's a router it has to be programmable to the cloud API and and understand the cloud environment you know one things I hear a lot from either see Saussure CIOs or CXOs in general is this idea of I'm definitely on going API so it's been an API economy so API is key on that point but then they say okay I need to essentially have the right relationship with my suppliers aka clouds you call it above the clouds so the question is what do i do from an architecture standpoint do I just hire more developers and have different teams because you mentioned that's a scale point how do you solve this this problem of okay I got AWS I got GCP or Azure or whatever do I just have different teams or just expose api's where is that optimization where's the focus well I take what you need from an android point of view is a way a control plane across the three clouds and be able to use the api of the cloud to build networks but also to troubleshoot them and do they to operation so you need a view across a three cloud that takes care of routing connectivity that's you know that's the aviatrix plug of you right there so so how do you see so again your Gartner you you you you see the industry you've been a network architect how do you see this this plane out what are the what are the legacy incumbent client-server on-prem networking people gonna do well these versus people like aviatrix well how do you see that plane out well obviously all the incumbent like Arista cisco juniper NSX right they want to basically do the lift and ship or they want to bring and you know VM I want to bring in a section that cloud they call that NSX everywhere and cisco monks bring you star and the cloud recall that each guy anywhere right so everyone what and and then there's cloud vision for my red star and contrail is in the cloud so they just want to bring the management plane in the cloud but it's still based most of them it's still based on putting a VM them in controlling them right you you extend your management console to the cloud that's not truly cloud native right cloud native you almost have to build it from scratch we like to call that cloud naive clown that so close one letter yeah so that was a big con surgeon reinvent take the tea out of cloud native it's cloud naive that went super viral you guys got t-shirts now I know you love but yeah but that really ultimately is kind of double edged sword you got to be you can be naive on the on the architecture side and rolling out but also suppliers are can be naive so how would you define who's naive and who's not well in fact they're evolving as well so for example in Cisco you it's a little bit more native than other ones because they're really scr in the cloud you can't you you really like configure API so the cloud and NSX is going that way and so is Arista but they're incumbent they have their own tools is difficult for them they're moving slowly so it's much easier to start from scratch Avenue like and you know a network happiness started a few years ago there's only really two aviatrix was the first one they've been there for at least three or four years and there's other ones like al kira for example that just started now that doing more connectivity but they wanna create an overlay network across the cloud and start doing policies and trying abstracting all the clouds within one platform so I gotta ask you I interviewed an executive at VMware Sanjay Pune and he said to me at RSA last week oh the only b2 networking vendors left Cisco and VMware what's your respect what's your response to that obviously I mean when you have these waves as new brands that emerge like aviation others though I think there'll be a lot of startups coming out of the woodwork how do you respond to that comment well there's still a data center there's still like a lot of action on campus and there's the one but from the cloud provisioning and clown networking in general I mean they're behind I think you know in fact you don't even need them to start to it you can if you're small enough you can just keep if you're in AWS you can user it with us construct they have to insert themselves I mean they're running behind they're all certainly incumbents I love the term Andy Jesse's that Amazon Web Services uses old guard new guard to talk about the industry what does the new guard have to do the new and new brands that emerge in is it be more DevOps oriented neck Nets a cops is that net ops is the programmability these are some of the key discussions we've been having what's your view on how you this programmability their most important part is they have to make the network's simple for the dev teams and from you cannot have that you cannot make a phone call and get every line in two weeks anymore so if you move to that cloud you have to make the cloud construct as simple enough so that for example a dev team could say okay I'm going to create this VP see but this VP see automatically being associate to your account you cannot go out on the internet you have to go to the transit VP see so there's a lot of action in terms of the I am part and you have to put the control around them too so to make it as simple as possible you guys both I mean you're the COC aviatrix but also you guys a lot of experience going back to networking going back to I call the OSI mace which for us old folks know what that means but you guys know what this means I want to ask you the question as you look at the future of networking here a couple of objectives oh the cloud guys they got networking we're all set with them how do you respond to the fact that networking is changing and the cloud guys have their own networking what some of the pain points that's going on premises and these enterprises so are they good with the clouds what needs what are the key things that's going on in networking that makes it more than just the cloud networking what's your take on well as I said earlier that once you you could easily provision in the cloud you can easily connect to that cloud is when you start troubleshooting application in the cloud and try to scale so this that's where the problem occurs see what you're taking on it and you'll hear from the from the customers that that we have on stage and I think what happens is all the cloud the clouds by definition designed to the 80/20 rule which means they'll design 80% of the basic functionality and they'll lead to 20% extra functionality that of course every Enterprise needs they'll leave that to ISVs like aviatrix because why because they have to make money they have a service and they can't have huge instances for functionality that not everybody needs so they have to design to the common and that's they all do it right they have to and then the extra the problem is that Cambrian explosion that I talked about with enterprises that's holy that's what they need that they're the ones who need that extra 20% so that's that's what I see is is there's always gonna be that extra functionality the in in an automated and simple way that you talked about but yet powerful with up with the visible in control that they expect of on prep that that's that kind of combination that yin and the yang that people like us are providing some I want to ask you were gonna ask some of the cloud architect customer panels it's the same question this pioneers doing some work here and there's also the laggers who come in behind the early adopters what's gonna be the tipping point what are some of those conversations that the cloud architects are having out there or what's the signs that they need to be on this multi cloud or cloud native networking trend what are some the signals that are going on in their environment what are some of the thresholds or things that are going on that there can pay attention to well well once they have application and multiple cloud and they have they get wake up at 2:00 in the morning to troubleshoot them they don't know it's important so I think that's the that's where the robber will hit the road but as I said it's easier to prove it it's ok it's 80s it's easy use a transit gateway put a few V PCs and you're done and use create some presents like equinox and do Direct Connect and Express route with Azure that looks simple is the operations that's when they'll realize ok now I need to understand our car networking works I also need a tool that give me visibility and control not button tell me that I need to understand the basic underneath it as well what are some of the day in the life scenarios that you envision happening with multi Bob because you think about what's happening it kind of has that same vibe of interoperability choice multi-vendor because you have multi clouds essentially multi vendor these are kind of old paradigms that we've lived through the client server and internet working wave what are some of those scenarios of success and that might be possible it would be possible with multi cloud and cloud native networking well I think once you have good enough visibility to satisfy your customers you know not only like to keep the service running an application running but to be able to provision fast enough I think that's what you want to achieve small final question advice for folks watching on the live stream if they're sitting there as a cloud architect or a CXO what's your advice to them right now in this more because honestly public cloud check hybrid cloud they're working on that that gets on-premise is done now multi clouds right behind it what's your advice the first thing they should do is really try to understand cloud networking for each of their cloud providers and then understand the limitation and is what there's cloud service provider offers enough or you need to look to a third party but you don't look at a third party to start with especially an incumbent one so it's tempting to say on and I have a bunch of f5 experts nothing against that five I'm going to bring my five in the cloud when you can use a needle be that automatically understand Easy's and auto scaling and so on and you understand that's much simpler but sometimes you need you have five because you have requirements you have like AI rules and that kind of stuff that you use for years you cannot do it's okay I have requirement and that met I'm going to use legacy stuff and then you have to start thinking okay what about visibility control about the tree cloud but before you do that you have to understand the limitation of the existing cloud providers so first try to be as native as possible until things don't work after that you can start taking multi-cloud great insight somewhat thank you for coming someone in charge with Gardner thanks for sharing informatica is known as the leading enterprise cloud data management company we are known for being the top in our industry in at least five different products over the last few years especially we've been transforming into a cloud model which allows us to work better with the trends of our customers in order to see agile and effective in the business you need to make sure that your products and your offerings are just as relevant in all these different clouds than what you're used to and what you're comfortable with one of the most difficult challenges we've always had is that because we're a data company we're talking about data that a customer owns some of that data may be in the cloud some of that data may be on Prem some of that data may be actually in their data center in another region or even another country and having that data connect back to our systems that are located in the cloud has always been a challenge when we first started our engagement with aviatrix we only had one plan that was Amazon it wasn't till later that a jerk came up and all of a sudden we found hey the solution we already had in place for her aviatrix already working in Amazon and now works in Missouri as well before we knew what GCP came up but it really wasn't a big deal for us because we already had the same solution in Amazon and integer now just working in GCP by having a multi cloud approach we have access to all three of them but more commonly it's not just one it's actually integrations between multiple we have some data and ensure that we want to integrate with Amazon we have some data in GCP that we want to bring over to a data Lake assure one of the nice things about aviatrix is that it gives a very simple interface that my staff can understand and use and manage literally hundreds of VPNs around the world and while talking to and working with our customers who are literally around the world now that we've been using aviatrix for a couple years we're actually finding that even problems that we didn't realize we had were actually solved even before we came across the problem and it just worked cloud companies as a whole are based on reputation we need to be able to protect our reputation and part of that reputation is being able to protect our customers and being able to protect more importantly our customers data aviatrix has been helpful for us in that we only have one system that can manage this whole huge system in a simple easy direct model aviatrix is directly responsible for helping us secure and manage our customers not only across the world but across multiple clouds users don't have to be VPN or networking experts in order to be able to use the system all the members on my team can manage it all the members regardless of their experience can do different levels of it one of the unexpected advantages of aviatrix is that I don't have to sell it to my management the fact that we're not in the news at 3 o'clock in the morning or that we don't have to get calls in the middle of the night no news is good news especially in networking things that used to take weeks to build or done in hours I think the most important thing about a matrix is it provides me a Beatrix gives me a consistent model that I can use across multiple regions multiple clouds multiple customers okay welcome back to altitude 2020 for the folks on the livestream I'm John for Steve Mulaney with CEO of aviatrix for our first of two customer panels on cloud with cloud network architects we got Bobby Willoughby they gone Luis Castillo of National Instruments David should Nick with fact set guys welcome to the stage for this digital event come on up [Applause] [Music] hey good to see you thank you okay okay customer panelist is my favorite part we get to hear the real scoop gets a gardener given this the industry overview certainly multi clouds very relevant and cloud native networking is the hot trend with a live stream out there and the digital event so guys let's get into it the journey is you guys are pioneering this journey of multi cloud and cloud native networking and is soon gonna be a lot more coming so we want to get into the journey what's it been like is it real you got a lot of scar tissue and what are some of the learnings yeah absolutely so multi cloud is whether or not we we accepted as a network engineers is is a reality like Steve said about two years ago companies really decided to to just to just bite the bullet and and and move there whether or not whether or not we we accept that fact we need to now create a consistent architecture across across multiple clouds and that that is challenging without orchestration layers as you start managing different different tool sets and different languages across different clouds so that's it's really important that to start thinking about that guys on the other panelists here there's different phases of this journey some come at it from a networking perspective some come in from a problem troubleshooting which what's your experiences yeah so from a networking perspective it's been incredibly exciting it's kind of a once-in-a-generation 'el opportunity to look at how you're building out your network you can start to embrace things like infrastructure as code that maybe your peers on the systems teams have been doing for years but it just never really worked on bram so it's really it's really exciting to look at all the opportunities that we have and then all the interesting challenges that come up that you that you get to tackle an effect said you guys are mostly AWS right yep right now though we're we are looking at multiple clouds we have production workloads running in multiple clouds today but a lot of the initial work has been with Amazon and you've seen it from a networking perspective that's where you guys are coming at it from yep we evolved more from a customer requirement perspective started out primarily as AWS but as the customer needed more resources from Azure like HPC you know as your ad things like that even recently Google Google Analytics our journey has evolved into more of a multi cloud environment Steve weigh in on the architecture because this has been the big conversation I want you to lead this second yeah so I mean I think you guys agree the journey you know it seems like the journey started a couple years ago got real serious the need for multi cloud whether you're there today of course it's gonna be there in the future so that's really important I think the next thing is just architecture I'd love to hear what you you know had some comments about architecture matters it all starts I mean every Enterprise I talk to maybe talk about architecture and the importance of architecture maybe Bobby it's a fun architecture perspective we sorted a journey five years ago Wow okay and we're just now starting our fourth evolution of our network marketer and we call it networking security net SEC yeah versus Justice Network yeah and that fourth generation architectures be based primarily upon Palo Alto Networks an aviatrix I have Atrix doing the orchestration piece of it but that journey came because of the need for simplicity ok the need for a multi cloud orchestration without us having to go and do reprogramming efforts across every cloud as it comes along right I guess the other question I also had around architectures also Louis maybe just talk about I know we've talked a little bit about you know scripting right and some of your thoughts on that yeah absolutely so so for us we started we started creating the network constructs with cloud formation and we've we've stuck with that for the most part what's interesting about that is today on premise we have a lot of a lot of automation around around how we provision networks but cloud formation has become a little bit like the new manual for us so we we're now having issues with having the to automate that component and making it consistent with our on premise architecture making it consistent with Azure architecture and Google cloud so it's really interesting to see to see companies now bring that layer of abstraction that SEO and brought to the to the web side now it's going up into into the into the cloud networking architecture so on the fourth generation of you mentioned you're in the fourth gen architecture what do you guys what have you learned is there any lessons scar tissue what to avoid what worked what was some of the that's probably the biggest list and there is that when you think you finally figured it out you have it right Amazon will change something as you or change something you know transit gateways a game changer so in listening to the business requirements is probably the biggest thing we need to do up front but I think from a simplicity perspective we like I said we don't want to do things four times we want to do things one time we won't be able to write to an API which aviatrix has and have them do the orchestration for us so that we don't have to do it four times how important is architecture in the progression is it you guys get thrown in the deep end to solve these problems or you guys zooming out and looking at it it's that I mean how are you guys looking at the architecture I mean you can't get off the ground if you don't have the network there so all of those that we've gone through similar evolutions we're on our fourth or fifth evolution I think about what we started off with Amazon without a direct connect gate without a trans a gateway without a lot of the things that are available today kind of the 80/20 that Steve was talking about just because it wasn't there doesn't mean we didn't need it so we needed to figure out a way to do it we couldn't say oh you need to come back to the network team in a year and maybe Amazon will have a solution for it right you need to do it now and in evolve later and maybe optimize or change the way you're doing things in the future but don't sit around and wait you can't I'd love to have you guys each individually answer this question for the live stream because it comes up a lot a lot of cloud architects out in the community what should they be thinking about the folks that are coming into this proactively and/or realizing the business benefits are there what advice would you guys give them an architecture what should be they be thinking about and what are some guiding principles you could share so I would start with looking at an architecture model that that can that can spread and and give consistency they're different to different cloud vendors that you will absolutely have to support cloud vendors tend to want to pull you into using their native toolset and that's good if only it was realistic to talk about only one cloud but because it doesn't it's it's it's super important to talk about and have a conversation with the business and with your technology teams about a consistent model how do I do my day one work so that I'm not you know spending 80 percent of my time troubleshooting or managing my network because I'm doing that then I'm missing out on ways that I can make improvements or embrace new technologies so it's really important early on to figure out how do I make this as low maintenance as possible so that I can focus on the things that the team really should be focusing on Bobby your advice the architect I don't know what else I can do that simplicity operations is key right all right so the holistic view of j2 operation you mentioned let's can jump in day one is your your your getting stuff set up day two is your life after all right this is kind of what you're getting at David so what does that look like what are you envisioning as you look at that 20 mile stare at post multi-cloud world what are some of the things that you want in a day to operations yeah infrastructure is code is really important to us so how do we how do we design it so that we can fit start making network changes and fitting them into like a release pipeline and start looking at it like that rather than somebody logging into a router seoi and troubleshooting things on in an ad hoc nature so moving more towards the DevOps model yes anything on that day - yeah I would love to add something so in terms of day 2 operations you can you can either sort of ignore the day 2 operations for a little while where you get well you get your feet wet or you can start approaching it from the beginning the fact is that the the cloud native tools don't have a lot of maturity in that space and when you run into an issue you're gonna end up having a bad day going through millions and millions of logs just to try to understand what's going on so that's something that that the industry just now is beginning to realize it's it's such as such a big gap I think that's key because for us we're moving to more of an event-driven operations in the past monitoring got the job done it's impossible to modern monitor something there's nothing there when the event happens all right so the event-driven application and then detection is important yeah I think Gardiner was all about the cloud native wave coming into networking that's going to be here thing I want to get your guys perspectives I know you have different views of how you came on into the journey and how you're executing and I always say the beauties in the eye of the beholder and that kind of applies the network's laid out so Bobby you guys do a lot of high-performance encryption both on AWS and Azure that's kind of a unique thing for you how are you seeing that impact with multi cloud yeah and that's a new requirement for us to where we we have a requirement to encrypt and they never get the question should I encryption or not encrypt the answer is always yes you should encrypt when you can encrypt for our perspective we we need to migrate a bunch of data from our data centers we have some huge data centers and then getting that data to the cloud is the timely expense in some cases so we have been mandated that we have to encrypt everything leave from the data center so we're looking at using the aviatrix insane mode appliances to be able to encrypt you know 10 20 gigabits of data as it moves to the cloud itself David you're using terraform you got fire Ned you've got a lot of complexity in your network what do you guys look at the future for yours environment yeah so something exciting that or yeah now is fire net so for our security team they obviously have a lot of a lot of knowledge base around Palo Alto and with our commitments to our clients you know it's it's it's not very easy to shift your security model to a specific cloud vendor right so there's a lot of stuck to compliance of things like that where being able to take some of what you've you know you've worked on for years on Bram and put it in the cloud and have the same type of assurance that things are gonna work and be secured in the same way that they are on prem helps make that journey into the cloud a lot easier and Louis you guys got scripting and get a lot of things going on what's your what's your unique angle on this yeah no absolutely so full disclosure I'm not a not not an aviatrix customer yet it's okay we want to hear the truth that's good Ellis what are you thinking about what's on your mind no really when you when you talk about implementing the tool like this it's really just really important to talk about automation and focus on on value so when you talk about things like encryption and things like so you're encrypting tunnels and crypting the path and those things are it should it should should be second nature really when you when you look at building those back ends and managing them with your team it becomes really painful so tools like a Beatrix that that add a lot of automation it's out of out of sight out of mind you can focus on the value and you don't have to focus on so I gotta ask you guys I'll see aviatrix is here they're their supplier to this sector but you guys are customers everyone's pitching you stuff people are not going to buy my stuff how do you guys have that conversation with the suppliers like the cloud vendors and other folks what's that what's it like we're API all the way you got to support this what are some of the what are some of your requirements how do you talk to and evaluate people that walk in and want to knock on your door and pitch you something what's the conversation like it's definitely it's definitely API driven we we definitely look at the at the PAP i structure of the vendors provide before we select anything that that is always first in mind and also what a problem are we really trying to solve usually people try to sell or try to give us something that isn't really valuable like implementing a solution on the on the on the cloud isn't really it doesn't really add a lot of value that's where we go David what's your conversation like with suppliers you have a certain new way to do things as as becomes more agile and essentially the networking and more dynamic what are some of the conversation is with the either incumbents or new new vendors that you're having what do what do you require yeah so ease of use is definitely definitely high up there we've had some vendors come in and say you know hey you know when you go to set this up we're gonna want to send somebody on site and they're gonna sit with you for your day to configure it and that's kind of a red flag what wait a minute you know do we really if one of my really talented engineers can't figure it out on his own what's going on there and why is that so I you know having having some ease-of-use and the team being comfortable with it and understanding it is really important Bobby how about you I mean the old days was do a bake-off and you know the winner takes all I mean is it like that anymore but what's the Volvic a bake-off last year for us do you win so but that's different now because now when you when you get the product you can install the product and they double your energy or have it in a matter of minutes and so the key is is they can you be operational you know within hours or days instead of weeks but but do we also have the flexibility to customize it to meet your needs could you want to be you want to be put into a box with the other customers when you have needs that your pastor cut their needs yeah almost see the challenge that you guys are living where you've got the cloud immediate value depending how you can roll up any solutions but then you have might have other needs so you got to be careful not to buy into stuff that's not shipping so you're trying to be proactive at the same time deal with what you got I mean how do you guys see that evolving because multi-cloud to me is definitely relevant but it's not yet clear how to implement across how do you guys look at this baked versus you know future solutions coming how do you balance that so again so right now we we're we're taking the the ad hoc approach and experimenting with the different concepts of cloud and and really leveraging the the native constructs of each cloud but but there's a there's a breaking point for sure you don't you don't get to scale this like Alexa mom said and you have to focus on being able to deliver a developer they're their sandbox or they're their play area for the for the things that they're trying to build quickly and the only way to do that is with the with with some sort of consistent orchestration layer that allows you to so use a lot more stuff to be coming pretty quickly hides area I do expect things to start to start maturing quite quite quickly this year and you guys see similar trend new stuff coming fast yeah part of the biggest challenge we've got now is being able to segment within the network being able to provide segmentation between production on production workloads even businesses because we support many businesses worldwide and and isolation between those is a key criteria there so the ability to identify and quickly isolate those workloads is key so the CIOs that are watching or that are saying hey take that he'll do multi cloud and then you know the bottoms-up organization Nick pops you're kind of like off a little bit it's not how it works I mean what is the reality in terms of implementing you know in as fast as possible because the business benefits are but it's not always clear in the technology how to move that fast yeah what are some of the barriers one of the blockers what are the enablers I think the reality is is that you may not think you're multi-cloud but your business is right so I think the biggest barriers there is understanding what the requirements are and how best to meet those requirements and then secure manner because you need to make sure that things are working from a latency perspective that things work the way they did and get out of the mind shift that you know it was a cheery application in the data center it doesn't have to be a Tier three application in the cloud so lift and shift is is not the way to go yeah scale is a big part of what I see is the competitive advantage to a lot these clouds and needs to be proprietary network stacks in the old days and then open systems came that was a good thing but as clouds become bigger there's kind of an inherent lock in there with the scale how do you guys keep the choice open how're you guys thinking about interoperability what are some of the conversations and you guys are having around those key concepts well when we look at when we look at the upfront from a networking perspective it it's really key for you to just enable enable all the all the clouds to be to be able to communicate between them developers will will find a way to use the cloud that best suits their their business need and and like like you said it's whether whether you're in denial or not of the multi cloud fact that then your company is in already that's it becomes really important for you to move quickly yeah and I a lot of it also hinges on how well is the provider embracing what that specific cloud is doing so are they are they swimming with Amazon or Azure and just helping facilitate things they're doing the you know the heavy lifting API work for you or are they swimming upstream and they're trying to hack it all together in a messy way and so that helps you you know stay out of the lock-in because they're you know if they're doing if they're using Amazon native tools to help you get where you need to be it's not like Amazon's gonna release something in the future that completely you know makes you have designed yourself into a corner so the closer they're more than cloud native they are the more the easier it is to to deploy but you also need to be aligned in such a way that you can take advantage of those cloud native technologies will it make sense tgw is a game changer in terms of cost and performance right so to completely ignore that would be wrong but you know if you needed to have encryption you know teach Adobe's not encrypted so you need to have some type of a gateway to do the VPN encryption you know so the aviatrix tool give you the beauty of both worlds you can use tgw with a gateway Wow real quick in the last minute we have I want to just get a quick feedback from you guys I hear a lot of people say to me hey the I picked the best cloud for the workload you got and then figure out multi cloud behind the scenes so that seems to be do you guys agree with that I mean is it do I go Mull one cloud across the whole company or this workload works great on AWS that work was great on this from a cloud standpoint do you agree with that premise and then witness multi-cloud stitch them all together yeah from from an application perspective it it can be per workload but it can also be an economical decision certain enterprise contracts will will pull you in one direction that value but the the network problem is still the same doesn't go away yeah yeah yeah I mean you don't want to be trying to fit a square into a round Hall right so if it works better on that cloud provider then it's our job to make sure that that service is there and people can use it agree you just need to stay ahead of the game make sure that the network infrastructure is there secure is available and is multi cloud capable yeah I'm at the end of the day you guys just validating that it's the networking game now cloud storage compute check networking is where the action is awesome thanks for your insights guys appreciate you coming on the panel appreciate it thanks thank you [Applause] [Music] [Applause] okay welcome back on the live feed I'm John fritz T Blaney my co-host with aviatrix I'm with the cube for the special digital event our next customer panel got great another set of cloud network architects Justin Smith was aura Justin broadly with Ellie Mae and Amit Oh tree job with Koopa welcome to stage [Applause] all right thank you thank you okay he's got all the the cliff notes from the last session welcome back rinse and repeat yeah yeah we're going to go under the hood a little bit I think I think they nailed the what we've been reporting and we've been having this conversation around networking is where the action is because that's the end of the day you got a move a pack from A to B and you get workloads exchanging data so it's really killer so let's get started Amit what are you seeing as the journey of multi cloud as you go under the hood and say okay I got to implement this I have to engineer the network make it enabling make it programmable make it interoperable across clouds and that's like I mean almost sounds impossible to me what's your take yeah I mean it it seems impossible but if you are running an organization which is running infrastructure as a cordon all right it is easily doable like you can use tools out there that's available today you can use third-party products that can do a better job but but put your architecture first don't wait architecture may not be perfect put the best architecture that's available today and be agile to iterate and make improvements over the time we get to Justin's over here so I have to be careful when I point a question in Justin they both have the answer but okay journeys what's the journey been like I mean is there phases we heard that from Gartner people come in to multi cloud and cloud native networking from different perspectives what's your take on the journey Justin yeah I mean from our perspective we started out very much focused on one cloud and as we started doing errands we started doing new products the market the need for multi cloud comes very apparent very quickly for us and so you know having an architecture that we can plug in play into and be able to add and change things as it changes is super important for what we're doing in the space just in your journey yes for us we were very ad hoc oriented and the idea is that we were reinventing all the time trying to move into these new things and coming up with great new ideas and so rather than it being some iterative approach with our deployments that became a number of different deployments and so we shifted that tore in the network has been a real enabler of this is that it there's one network and it touches whatever cloud we want it to touch and it touches the data centers that we need it to touch and it touches the customers that we need it to touch our job is to make sure that the services that are available and one of those locations are available in all of the locations so the idea is not that we need to come up with this new solution every time it's that we're just iterating on what we've already decided to do before we get the architecture section I want to ask you guys a question I'm a big fan of you know let the app developers have infrastructure as code so check but having the right cloud run that workload I'm a big fan of that if it works great but we just heard from the other panel you can't change the network so I want to get your thoughts what is cloud native networking and is that the engine really that's the enabler for this multi cloud trend but you guys taken we'll start with Amit what do you think about that yeah so you are gonna have workloads running in different clouds and the workloads would have affinity to one cloud over other but how you expose that it matter of how you are going to build your networks how we are gonna run security how we are going to do egress ingress out of it so it's a big problem how do you split says what's the solution what's the end the key pain points and problem statement I mean the key pain point for most companies is how do you take your traditionally on-premise network and then blow that out to the cloud in a way that makes sense you know IP conflicts you have IP space you pub public eye peas and premise as well as in the cloud and how do you kind of make a sense of all of that and I think that's where tools like a v8 ryx make a lot of sense in that space from our site it's it's really simple its latency its bandwidth and availability these don't change whether we're talking about cloud or data center or even corporate IT networking so our job when when these all of these things are simplified into like s3 for instance and our developers want to use those we have to be able to deliver that and for a particular group or another group that wants to use just just GCP resources these aren't we have to support these requirements and these wants as opposed to saying hey that's not a good idea our job is to enable them not to disable them do you think you guys think infrastructure is code which I love that I think it's that's the future it is we saw that with DevOps but I do start getting the networking is it getting down to the network portion where it's network is code because storage and compute working really well is seeing all kubernetes and service master and network as code reality is it there is got work to do it's absolutely there I mean you mentioned net DevOps and it's it's very real I mean in Cooper we build our networks through terraform and on not only just out of fun build an API so that we can consistently build V nets and VPC all across in the same unit yeah and even security groups and then on top an aviatrix comes in we can peer the networks bridge bridge all the different regions through code same with you guys but yeah everything we deploy is done with automation and then we also run things like lambda on top to make changes in real time we don't make manual changes on our network in the data center funny enough it's still manual but the cloud has enabled us to move into this automation mindset and and all my guys that's what they focus on is bringing what now what they're doing in the cloud into the data center which is kind of opposite of what it should be that's full or what it used to be it's full DevOps then yes yeah I mean for us was similar on-premise still somewhat very manual although we're moving more Norton ninja and terraform concepts but everything in the production environment is colored Confirmation terraform code and now coming into the datacenter same I just wanted to jump in on a Justin Smith one of the comment that you made because it's something that we always talk about a lot is that the center of gravity of architecture used to be an on-prem and now it's shifted in the cloud and once you have your strategic architecture what you--what do you do you push that everywhere so what you used to see at the beginning of cloud was pushing the architecture on prem into cloud now I want to pick up on what you said to you others agree that the center of architect of gravity is here I'm now pushing what I do in the cloud back into on pram and and then so first that and then also in the journey where are you at from 0 to 100 of actually in the journey to cloud DUI you 50% there are you 10% yes I mean are you evacuating data centers next year I mean were you guys at yeah so there's there's two types of gravity that you typically are dealing with no migration first is data gravity and your data set and where that data lives and then the second is the network platform that interrupts all that together right in our case the data gravity sold mostly on Prem but our network is now extending out to the app tier that's going to be in cloud right eventually that data gravity will also move to cloud as we start getting more sophisticated but you know in our journey we're about halfway there about halfway through the process we're taking a handle of you know lift and shift and when did that start and we started about three years ago okay okay go by it's a very different story it started from a garage and one hundred percent on the clock it's a business spend management platform as a software-as-a-service one hundred percent on the cloud it was like ten years ago right yes yeah you guys are riding the wave love that architecture Justin I want to ask user you guys mentioned DevOps I mean obviously we saw the huge observability wave which is essentially network management for the cloud in my opinion right yeah it's more dynamic but this isn't about visibility we heard from the last panel you don't know what's being turned on or turned off from a services standpoint at any given time how is all this playing out when you start getting into the DevOps down well this this is the big challenge for all of us as visibility when you talk transport within a cloud you know we very interesting we we have moved from having a backbone that we bought that we own that would be data center connectivity we now I work for as or as a subscription billing company so we want to support the subscription mindset so rather than going and buying circuits and having to wait three months to install and then coming up with some way to get things connected and resiliency and redundancy I my backbone is in the cloud I use the cloud providers interconnections between regions to transport data across and and so if you do that with their native solutions you you do lose visibility there are areas in that that you don't get which is why controlling you know controllers and having some type of management plane is a requirement for us to do what we're supposed to do and provide consistency while doing it a great conversation I loved when you said earlier latency bandwidth I think availability with your sim pop3 things guys SLA I mean you just do ping times between clouds it's like you don't know what you're getting for round-trip times this becomes a huge kind of risk management black hole whatever you want to call blind spot how are you guys looking at the interconnects between clouds because you know I can see that working from you know ground to cloud I'm per cloud but when you start doing with multi clouds workload I mean SL leis will be all over the map won't they just inherently but how do you guys view that yeah I think we talked about workload and we know that the workloads are going to be different in different clouds but they are going to be calling each other so it's very important to have that visibility that you can see how data is flowing at what latency and what our ability is hour is there and our authority needs to operate on that so it's solely use the software dashboard look at the times and look at the latency in the old days strong so on open so on you try to figure it out and then your day is you have to figure out just and what's your answer to that because you're in the middle of it yeah I mean I think the the key thing there is that we have to plan for that failure we have to plan for that latency and our applications it's starting start tracking in your SLI something you start planning for and you loosely couple these services and a much more micro services approach so you actually can handle that kind of failure or that type of unknown latency and unfortunately the cloud has made us much better at handling exceptions a much better way you guys are all great examples of cloud native from day one and you guys had when did you have the tipping point moment or the Epiphany of saying a multi clouds real I can't ignore it I got to factor it into all my design design principles and and everything you're doing what's it was there a moment or was it was it from day one now there are two divisions one was the business so in business there was some affinity to not be in one cloud or to be in one cloud and that drove from the business side so it has a cloud architect our responsibility was to support that business and other is the technology some things are really running better in like if you are running dot network load or you are going to run machine learning or AI so that you have you would have that preference of one cloud over other so it was the bill that we got from AWS I mean that's that's what drives a lot of these conversations is the financial viability of what you're building on top of it which is so we this failure domain idea which is which is fairly interesting is how do I solve or guarantee against a failure domain you have methodologies with you know back-end direct connects or interconnect with GCP all of these ideas are something that you have to take into account but that transport layer should not matter to whoever we're building this for our job is to deliver the frames in the packets what that flows across how you get there we want to make that seamless and so whether it's a public internet API call or it's a back-end connectivity through Direct Connect it doesn't matter it just has to meet a contract that you signed with your application folks yeah that's the availability piece just on your thoughts on that I think any comment on that so actually multi clouds become something much more recent in the last six to eight months I'd say we always kind of had a very much an attitude of like moving to Amazon from our private cloud is hard enough why complicate it further but the realities of the business and as we start seeing you know improvements in Google and Asia and different technology spaces the need for multi cloud becomes much more important as well as those are acquisition strategies I matured we're seeing that companies that used to be on premise that we typically acquire are now very much already on a cloud and if they're on a cloud I need to plug them into our ecosystem and so that's really change our multi cloud story in a big way I'd love to get your thoughts on the clouds versus the clouds because you know you compare them Amazon's got more features they're rich with features I see the bills are haiku people using them but Google's got a great Network Google's networks pretty damn good and then you got a sure what's the difference between the clouds who where they've evolved something whether they peak in certain areas better than others what what are the characteristics which makes one cloud better do they have a unique feature that makes Azure better than Google and vice versa what do you guys think about the different clouds yeah to my experience I think there is the approach is different in many places Google has a different approach very devops friendly and you can run your workload like your network can spend regions time I mean but our application ready to accept that MS one is evolving I mean I remember ten years back Amazon's network was a flat network we will be launching servers and 10.0.0.0 mode multi-account came out so they are evolving as you are at a late start but because they have a late start they saw the pattern and they they have some mature set up on the I mean I think they're all trying to say they're equal in their own ways I think they all have very specific design philosophies that allow them to be successful in different ways and you have to kind of that in mine is your architectural and solution for example Amazon has a very much a very regional affinity they don't like to go cross region in their architecture whereas Google is very much it's a global network we're gonna think about as a global solution I think Google also has advantages there to market and so it has seen what asier did wrong it's seen what AWS did wrong and it's made those improvements and I think that's one of their big advantage at great scale to Justin thoughts on the cloud so yeah Amazon built from the system up and Google built from the network down so their ideas and approaches are from a global versus or regional I agree with you completely that that is the big number one thing but the if you look at it from the outset interestingly the the inability or the ability for Amazon to limit layer 2 broadcasting and and what that really means from a VPC perspective changed all the routing protocols you can use all the things that we have built inside of a data center to provide resiliency and and and make things seamless to users all of that disappeared and so because we had to accept that at the VPC level now we have to accept it at the LAN level Google's done a better job of being able to overcome those things and provide those traditional Network facilities to us it's just great panel can go all day here's awesome so I heard we could we'll get to the cloud native naive question so kind of think about what's not even what's cloud is that next but I got to ask you had a conversation with a friend he's like when is the new land so if you think about what the land was at a data center when is the new link you get talking about the cloud impact so that means st when the old st was kind of changing into the new land how do you guys look at that because if you think about it what lands were for inside a premises was all about networking high speed but now when you take the win and make essentially a land do you agree with that and how do you view this trend and is it good or bad or is it ugly and what's what you guys take on this yeah I think it's the it's a thing that you have to work with your application architect so if you are managing networks and if you're a sorry engineer you need to work with them to expose the unreliability that would bring in so the application has to hand a lot of this the difference in the Layton sees and and the reliability has to be worked through the application there land when same concept as it be yesterday I think we've been talking about for a long time the erosion of the edge and so is this is just a continuation of that journey we've been on for the last several years as we get more and more cloud native when we start about API is the ability to lock my data in place and not be able to access it really goes away and so I think this is just continuation that thing I think it has challenges we start talking about weighing scale versus land scale the tooling doesn't work the same the scale of that tooling is much larger and the need to automation is much much higher in a way than it was in a land that's what we're seeing so much infrastructure as code yeah yeah so for me I'll go back again to this its bandwidth and its latency right that bet define those two land versus win but the other thing that's comes up more and more with cloud deployments is where is our security boundary and where can I extend this secure aware appliance or set of rules to protect what's inside of it so for us we're able to deliver VRS or route forwarding tables for different segments wherever we're at in the world and so they're they're trusted to talk to each other but if they're gonna go to someplace that's outside of their their network then they have to cross a security boundary and where we enforce policy very heavily so for me there's it's not just land when it's it's how does environment get to environment more importantly that's a great point and security we haven't talked to yet but that's got to be baked in from the beginning that's architecture thoughts on security are you guys are dealing with it yeah start from the base have app to have security built in have TLS have encryption on the data I transit data at rest but as you bring the application to the cloud and they are going to go multi-cloud talking to over the Internet in some places well have apt web security I mean I mean our principals day Security's day zero every day and so we we always build it into our design we load entire architecture into our applications it's encrypt everything it's TLS everywhere it's make sure that that data is secured at all times yeah one of the cool trends at RSA just as a side note was the data in use encryption piece which is a homomorphic stuff was interesting all right guys final question you know we heard on the earlier panel was also trending at reinvent we take the tea out of cloud native it spells cloud naive okay they got shirts now he being sure he's gonna got this trend going what does that mean to be naive so if you're to your peers out there watching a live stream and also the suppliers that are trying to you know supply you guys with technology and services what's naive look like and what's native look like when is someone naive about implementing all this stuff so for me it's because we are in hundred-percent cloud for us its main thing is ready for the change and you will you will find new building blocks coming in and the network design will evolve and change so don't be naive and think that it's static you wall with the change I think the big naivety that people have is that well I've been doing it this way for twenty years and been successful it's going to be successful in cloud the reality is that's not the case you have to think some of the stuff a little bit differently and you need to think about it early enough so that you can become cloud native and really enable your business on cloud yeah for me it's it's being open minded right the the our industry the network industry as a whole has been very much I am smarter than everybody else and we're gonna tell everybody how it's going to be done and we have we fell into a lull when it came to producing infrastructure and and and so embracing this idea that we can deploy a new solution or a new environment in minutes as opposed to hours or weeks or four months in some cases is really important and and so you know it's are you being closed-minded native being open-minded exactly and and it took a for me it was that was a transformative kind of where I was looking to solve problems in a cloud way as opposed to looking to solve problems in this traditional old-school way all right I know we're out of time but I ask one more question so you guys so good it could be a quick answer what's the BS language when you the BS meter goes off when people talk to you about solutions what's the kind of jargon that you hear that's the BS meter going off what are people talking about that in your opinion you here you go that's total B yes what what triggers use it so that I have two lines out of movies that are really I can if the if I say them without actually thinking them it's like 1.21 jigowatts how you're out of your mind from Back to the Future right somebody's gonna be a bank and then and then Martin ball and and Michael Keaton and mr. mom when he goes to 22 21 whatever it takes yeah those two right there if those go off in my mind somebody's talking to me I know they're full of baloney so a lot of speeds would be a lot of speeds and feeds a lot of data did it instead of talking about what you're actually doing and solutioning for you're talking about well I does this this this and okay 220 221 anytime I start seeing the cloud vendor start benchmarking against each other it's your workload is your workload you need to benchmark yourself don't don't listen to the marketing on that that's that's all I'm a what triggers you and the bsp I think if somebody explains you a not simple they cannot explain you in simplicity then that's a good one all right guys thanks for the great insight great panel how about a round of applause practitioners DX easy solutions integrating company than we service customers from all industry verticals and we're helping them to move to the digital world so as a solutions integrator we interface with many many customers that have many different types of needs and they're on their IT journey to modernize their applications into the cloud so we encounter many different scenarios many different reasons for those migrations all of them seeking to optimize their IT solutions to better enable their business we have our CPS organization it's cloud platform services we support AWS does your Google Alibaba corkle will help move those workloads to wherever it's most appropriate no one buys the house for the plumbing equally no one buys the solution for the networking but if the plumbing doesn't work no one likes the house and if this network doesn't work no one likes a solution so network is ubiquitous it is a key component of every solution we do the network connectivity is the lifeblood of any architecture without network connectivity nothing works properly planning and building a scalable robust network that's gonna be able to adapt with the application needs its when encountering some network design and talking about speed the deployment aviatrix came up in discussion and we then further pursued an area DHT products that incorporated aviatrix is part of a new offering that we are in the process of developing that really enhances our ability to provide cloud connectivity for the lance cloud connectivity there's a new line of networking services that we're getting into as our clients move into hybrid cloud networking it is much different than our traditional based services an aviatrix provides a key component in that service before we found aviatrix we were using just native peering connections but there wasn't a way to visualize all those peering connections and with multiple accounts multiple contacts for security with a v8 church we were able to visualize those different peering connections of security groups it helped a lot especially in areas of early deployment scenarios were quickly able to then take those deployment scenarios and turn them into scripts that we can then deploy repeatedly their solutions were designed for work with the cloud native capabilities first and where those cloud native capabilities fall short they then have solution sets that augment those capabilities I was pleasantly surprised number one with the aviatrix team as a whole in their level of engagement with us you know we weren't only buying the product we were buying a team that came on board to help us implement and solution that was really good to work together to learn both what aviatrix had to offer as well as enhancements that we had to bring that aviatrix was able to put into their product and meet our needs even better aviatrix was a joy to find because they really provided us the technology that we needed in order to provide multi cloud connectivity that really added to the functionality that you can't get from the basic law providing services we're taking our customers on a journey to simplify and optimize their IT infrastructure aviatrix certainly has made my job much easier okay welcome back to altitude 2020 for the digital event for the live feed welcome back I'm John Ford with the cube with Steve Mulaney CEO aviatrix for the next panel from global system integrators the folks who are building and working with folks on their journey to multi cloud and cloud native networking we've got a great panel George Buckman with dxc and Derek Monahan with wwt welcome to the stage [Applause] [Music] okay you guys are the ones out there advising building and getting down and dirty with multi cloud and cloud native networking we heard from the customer panel you can see the diversity of where people come into the journey of cloud it kind of depends upon where you are but the trends are all clear cloud native networking DevOps up and down the stack this has been the main engine what's your guys take of the disk journey to multi cloud what do you guys seeing yeah it's it's critical I mean we're seeing all of our enterprise customers enter into this they've been through the migrations of the easy stuff you know now they're trying to optimize and get more improvement so now the tough stuffs coming on right and you know they need their data processing near where their data is so that's driving them to a multi cloud environment okay we heard some of the edge stuff I mean you guys are exactly you've seen this movie before but now it's a whole new ballgame what's your take yeah so I'll give you a hint so our practice it's not called the cloud practice it's the multi cloud practice and so if that gives you a hint of how we approach things it's very consultative and so when we look at what the trends are let's look a little year ago about a year ago we were having conversations with customers let's build a data center in the cloud let's put some VP C's let's throw some firewalls with some DNS and other infrastructure out there and let's hope it works this isn't a science project so what we're trying we're starting to see is customers are starting to have more of a vision and we're helping with that consultative nature but it's totally based on the business and you got to start understanding how the lines of business are using the apps and then we evolved into that next journey which is a foundational approach to what are some of the problem statement customers are solving when they come to you what are the top things that are on their my house or the ease of use of jelly all that stuff but what specifically they did digging into yeah some complexity I think when you look at multi cloud approach in my view is network requirements are complex you know I think they are but I think the approach can be let's simplify that so one thing that we try to do and this is how we talk to customers is let's just like you simplify an aviatrix simplifies the automation orchestration of cloud networking we're trying to simplify the design the planning implementation of infrastructure across multiple workloads across multiple platforms and so the way we do it is we sit down we look at not just use cases and not just the questions in common we anticipate we actually build out based on the business and function requirements we build out a strategy and then create a set of documents and guess what we actually build in the lab and that lab that we platform we built proves out this reference architecture actually works absolutely we implement similar concepts I mean we they're proven practices they work great so well George you mentioned that the hard part is now upon us are you referring to networking what is specifically were you getting at Tara so the easy parts done now so for the enterprises themselves migrating their more critical apps or more difficult apps into the environments you know they've just we've just scratched the surface I believe on what enterprises that are doing to move into the cloud to optimize their environments to take advantage of the scale and speed to deployment and to be able to better enable their businesses so they're just now really starting the >> so do you get you guys see what I talked about them in terms of their Cambrian explosion I mean you're both monster system integrators with you know top fortune enterprise customers you know really rely on you for for guidance and consulting and so forth and boy they're networks is that something that you you've seen I mean does that resonate did you notice a year and a half ago and all of a sudden the importance of cloud for enterprise shoot up yeah I mean we're seeing it okay in our internal environment as yeah you know we're a huge company or right customer zero or an IT so we're experiencing that internal okay and every one of our other customers so I have another question oh I don't know the answer to this and the lawyer never asks a question that you don't know the answer to but I'm gonna ask it anyway d XE @ wwt massive system integrators why aviatrix yep so great question Steve so I think the way we approach things I think we have a similar vision a similar strategy how you approach things how we approach things that it worldwide technology number one we want to simplify the complexity and so that's your number one priorities let's take the networking but simplify it and I think part of the other point I'm making is we have we see this automation piece as not just an afterthought anymore if you look at what customers care about visibility and automation is probably the at the top three maybe the third on the list and I think that's where we see the value and I think the partnership that we're building and what I what I get excited about is not just putting yours in our lab and showing customers how it works it's Co developing a solution with you figuring out hey how can we make this better right mr. piller is a huge thing Jenna insecurity alone Network everything's around visibility what automation do you see happening in terms of progression order of operations if you will it's the low-hanging fruit what are people working on now and what are what are some of the aspirational goals around when you start thinking about multi cloud and automation yep so I wanted to get back to answer that question I want to answer your question you know what led us there and why aviatrix you know in working some large internal IT projects and and looking at how we were going to integrate those solutions you know we like to build everything with recipes where Network is probably playing catch-up in the DevOps world but with a DevOps mindset looking to speed to deploy support all those things so when you start building your recipes you take a little of this a little of that and you mix it all together well when you look around you say wow look there's this big bag of a VHS let me plop that in that solves a big part of my problems that I have to speed to integrate speed to deploy and the operational views that I need to run this so that was 11 years about reference architectures yeah absolutely so you know they came with a full slate of reference architectures already the out there and ready to go that fit our needs so it's very very easy for us to integrate those into our recipes what do you guys think about all the multi vendor interoperability conversations that have been going on choice has been a big part of multi cloud in terms of you know customers want choice didn't you know they'll put a workload in the cloud that works but this notion of choice and interoperability is become a big conversation it is and I think our approach and that's why we talk to customers is let's let's speed and be risk of that decision making process and how do we do that because the interoperability is key you're not just putting it's not just a single vendor we're talking you know many many vendors I mean think about the average number of cloud applications a customer uses a business and enterprise business today you know it's it's above 30 it's it's skyrocketing and so what we do and we look at it from an Billy approaches how do things interoperate we test it out we validate it we build a reference architecture it says these are the critical design elements now let's build one with aviatrix and show how this works with aviatrix and I think the the important part there though is the automation piece that we add to it invisibility so I think the visibility is what's what I see lacking across the industry today and the cloud needed that's been a big topic yep okay in terms of aviatrix that you guys see them coming in there one of the ones that are emerging and the new brands emerging with multi cloud you still got the old guard incumbents with huge footprints how our customers dealing with that that kind of component in dealing with both of them yeah I mean where we have customers that are ingrained with a particular vendor and you know we have partnerships with many vendors so our objective is to provide the solution that meets that client and you they all want multi vendor they all want interoperability correct all right so I got to ask you guys a question while we were defining de to operations what does that mean I mean you guys are looking at the big business and technical components of architecture what does de two operations mean what's the definition of that yeah so I think from our perspective my experience we you know de to operations whether it's it's not just the you know the orchestration piece and setting up and let it a lot of automate and have some you know change control you're looking at this from a data perspective how do I support this ongoing and make it easy to make changes as we evolve that the the cloud is very dynamic the the nature of how that fast is expanding the number of features is astonishing trying to keep up to date with a number of just networking capabilities and services that are added so I think day to operation starts with a fundable understanding of you know building out supporting a customer's environments and making it the automation piece easy from from you know a distance I think yeah and you know taking that to the next level of being able to enable customers to have catalog items that they can pick and choose hey I need this network connectivity from this cloud location back to this on pram and being able to have that automated and provisioned just simply by ordering it for the folks watching out there guys take a minute to explain as you guys are in the trenches doing a lot of good work what are some of the engagement that you guys get into how does that progress what is that what's what happens there they call you up and say hey I need multi-cloud or you're already in there I mean take us through why how someone can engage to use a global si to come in and make this thing happen what's looks like typical engagement look like yeah so from our perspective we typically have a series of workshops in a methodology that we kind of go along the journey number one we have a foundational approach and I don't mean foundation meaning the network foundation that's a very critical element we got a factor in security we got a factor in automation so we think about foundation we do a workshop that starts with education a lot of times we'll go in and we'll just educate the customer what does VPC sharing you know what is a private link and Azure how does that impact your business you know customers I want to share services out in an ecosystem with other customers and partners well there's many ways to accomplish that so our goal is to you know understand those requirements and then build that strategy with them thoughts George oh yeah I mean I'm one of the guys that's down in the weeds making things happen so I'm not the guy on the front line interfacing with the customers every day but we have a similar approach you know we have a consulting practice that will go out and and apply their practices to see what those and when do you parachute in yeah when I then is I'm on the back end working with our offering development leads for the networking so we understand or seeing what customers are asking for and we're on the back end developing the solutions that integrate with our own offerings as well as enable other customers to just deploy quickly to meet their connectivity needs it so the patterns are similar great final question for you guys I want to ask you to paint a picture of what success looks like and you know for name customers you don't forget in reveal of kind of who they are but what does success look like in multi-cloud as you as you paint a picture for the folks here and watching on the live stream it's if someone says hey I want to be multi-cloud I got to have my operations agile I want full DevOps I want programmability security built in from day zero what does success look like yeah I think success looks like this so when you're building out a network the network is a harder thing to change than some other aspects of cloud so what we think is even if you're thinking about that second cloud which we have most of our customers are on to public clouds today they might be dabbling in that is you build that network foundation an architecture that takes in consideration where you're going and so once we start building that reference architecture out that shows this is how to sit from a multi-cloud perspective not a single cloud and let's not forget our branches let's not forget our data centers let's not forget how all this connects together because that's how we define multi-cloud it's not just in the cloud it's on Prem and it's off Prem and so collectively I think the key is also is that we provide them an hld you got to start with in a high-level design that can be tweaked as you go through the journey but you got to give a solid structural foundation and that networking which we think most customers think as not not the network engineers but as an afterthought we want to make that the most critical element before you start the journey Jorge from your seed had a success look for you so you know it starts out on these journeys often start out people not even thinking about what is gonna happen what what their network needs are when they start their migration journey to the cloud so I want this success to me looks like them being able to end up not worrying about what's happening in the network when they move to the cloud good guys great insight thanks for coming on share and pen I've got a round of applause the global system integrators [Applause] [Music] okay welcome back from the live feed I'm shuffle with the cube Steve Eleni CEO of aviatrix my co-host our next panel is the aviatrix certified engineers also known as aces this is the folks that are certified their engineering they're building these new solutions please welcome Toby Foster min from Attica Stacy linear from Terra data and Jennifer Reid with Victor Davis to the stage I was just gonna I was just gonna rip you guys and say where's your jackets and Jen's got the jacket on okay good love the aviatrix aces pile of gear there above the clouds soaring to new heights that's right so guys aviatrix aces love the name I think it's great certified this is all about getting things engineered so there's a level of certification I want to get into that but first take us through the day in the life of an ace and just to point out Stacey's a squad leader so he's like a squadron leader Roger and leader yeah squadron leader so he's got a bunch of aces underneath him but share your perspective day-in-the-life Jeff we'll start with you sure so I have actually a whole team that works for me both in the in the North America both in the US and in Mexico and so I'm eagerly working to get them certified as well so I can become a squad leader myself but it's important because one of the the critical gaps that we've found is people having the networking background because they're you graduate from college and you have a lot of computer science background you can program you've got Python but networking in packets they just don't get and so just taking them through all the processes that it's really necessary to understand when you're troubleshooting is really critical mm-hmm and because you're gonna get an issue where you need to figure out where exactly is that happening on the network you know is my my issue just in the V PCs and on the instant side is a security group or is it going on print and this is something actually embedded within Amazon itself I mean I should troubleshot an issue for about six months going back and forth with Amazon and it was the vgw VPN because they were auto-scaling on two sides and we ended up having to pull out the Cisco's and put in aviatrix so I could just say okay it's fixed and actually actually helped the application teams get to that and get it solved yeah but I'm taking a lot of junior people and getting them through that certification process so they can understand and see the network the way I see the network I mean look I've been doing this such for 25 years but I got out when I went in the Marine Corps that's what I did and coming out the network is still the network but people don't get the same training they get they got in the 90s it's just so easy just write some software and they work takes care of itself yes I'll be will get I'll come back to that I want to come back to that that problem solved with Amazon but Toby I think the only thing I have to add to that is that it's always the network fault as long as I've been in network have always been the network's fault and I'm even to this day you know it's still the network's fault and part of being a network guy is that you need to prove when it is and when it's not your fault and that means you need to know a little bit about a hundred different things to make that and now you got a full stack DevOps you gotta know a lot more times another hundred and these times are changing yeah they say you're a squadron leader I get that right what is what does a squadron leader first can you describe what it is I think probably just leading all the network components of it but not they from my perspective when to think about what you asked them was it's about no issues and no escalation soft my day is a good that's a good day yes it's a good day Jennifer you mentioned the Amazon thing this brings up a good point you know when you have these new waves come in you have a lot of new things newly use cases a lot of the finger-pointing it's that guy's problem that girl's problem so what is how do you solve that and how do you get the young guns up to speed is there training is that this is where the certification comes in well is where the certification is really going to come in I know when we we got together at reinvent one of the the questions that that we had with Stephen the team was what what should our certification look like you know she would just be teaching about what aviatrix troubleshooting brings to bear but what should that be like and I think Toby and I were like no no no that's going a little too high we need to get really low because the the better someone can get at actually understanding what actually happening in the network and and where to actually troubleshoot the problem how to step back each of those processes because without that it's just a big black box and they don't know you know because everything is abstracted in Amazon Internet and Azure and Google is substracted and they have these virtual gateways they have VPNs that you just don't have the logs on it's you just don't know and so then what tools can you put in front of them of where they can look because there are full logs well as long as we turned on the flow logs when they built it you know and there's like each one of those little things that well if they had decided to do that when they built it it's there but if you can come in later to really supplement that with training to actual troubleshoot and do a packet capture here as it's going through then teaching them how to read that even yeah Toby we were talking before we came on up on stage about your career you've been networking all your time and then you know you're now entering a lot of younger people how is that going because the people who come in fresh they don't have all the old war stories they don't know you talk about you know that's dimmer fault I walk in bare feet in the snow when I was your age I mean it's so easy now right they say what's your take on how you train the young P so I've noticed two things one is that they are up to speed a lot faster in generalities of networking they can tell you what a network is in high school level now where I didn't learn that too midway through my career and they're learning it faster but they don't necessarily understand why it's that way or you know everybody thinks that it's always slash 24 for a subnet and they don't understand why you can break it down smaller why it's really necessary so the the ramp up speed is much faster for these guys that are coming in but they don't understand why and they need some of that background knowledge to see where it's coming from and why is it important and old guys that's where we thrive Jennifer you mentioned you you got in from the Marines health spa when you got into networking how what was it like then and compared it now almost like we heard earlier static versus dynamic don't be static cuz then you just set the network you got a perimeter yeah no there was no such thing ya know so back in the day I mean I mean we had banyan vines for email and you know we had token ring and I had to set up token ring networks and figure out why that didn't work because how many of things were actually sharing it but then actually just cutting fiber and running fiber cables and dropping them over you know shelters to plug them in and oh crap they swung it too hard and shattered it now I gotta be great polished this thing and actually shoot like to see if it works I mean that was the network crimped five cat5 cables to run an Ethernet you know and then from that just said network switches dumb switches like those were the most common ones you had then actually configuring routers and you know logging into a Cisco router and actually knowing how to configure that and it was funny because I had gone all the way up and was a software product manager for a while so I've gone all the way up the stack and then two and a half three years ago I came across to to work with entity group that it became Victor Davis but we went to help one of our customers Davis and it was like okay so we need to fix the network okay I haven't done this in 20 years but all right let's get to it you know because it really fundamentally does not change it's still the network I mean I've had people tell me well you know when we go to containers we will not have to worry about the network and I'm like yeah you don't I do and then with this were the program abilities it really interesting so I think this brings up the certification what are some of the new things that people should be aware of that come in with the aviatrix ace certification what are some of the highlights can you guys share some of the some of the highlights around the certifications I think some of the importance is that it's it doesn't need to be vendor specific for network generality or basic networking knowledge and instead of learning how Cisco does something or how Palo Alto does something we need to understand how and why it works as a basic model and then understand how each vendor has gone about that problem and solved it in a general that's true in multi cloud as well you can't learn how cloud networking works without understanding how a double u.s. senator and GCP are all slightly the same but slightly different and some things work and some things don't I think that's probably the number one take I think having a certification across clouds is really valuable cuz we heard the global si help the business issues what does it mean to do that is it code is that networking is it configuration is that aviatrix what is the I mean op C aviatrix is the ASA certification but what is it about the multi cloud that makes it multi networking and multi vendor easy answer is yes so you got to be a generalist getting your hands and all you have to be right it takes experience because it's every every cloud vendor has their own certification whether that's hops and advanced networking and advanced security or whatever it might be yeah they can take the test but they have no idea how to figure out what's wrong with that system and the same thing with any certification but it's really getting your hands in there and actually having to troubleshoot the problems you know actually work the problem you know and calm down it's going to be okay I mean because I don't know how many calls I've been on or even had aviatrix join me on it's like okay so everyone calm down let's figure out what's happening it's like we've looked at that screen three times looking at it again it's not gonna solve that problem right but at the same time you know remaining calm but knowing that it really is I'm getting a packet from here to go over here it's not working so what could be the problem you know and actually stepping them through with those scenarios but that's like you only get that by having to do it you know and seeing it and going through it and then I have a question so we you know I just see it we started this program maybe months ago we're seeing a huge amount of interest I mean we're oversubscribed on all the training sessions we've got people flying from around the country even with coronavirus flying to go to Seattle to go to these events were oversubscribed good is that watching leader would put there yeah is that something that you see in your organization's are you recommending that to people do you see I mean I'm just I guess I'm surprised I'm not surprised but I'm really surprised by the demand if you would of this multi cloud network certification because it really isn't anything like that is that something you guys can comment on or do you see the same things in your organization's I say from my side because we operate in the multi cloud environment so it really helps and it's beneficial for us yeah I think I would add that uh networking guys have always needed to use certifications to prove that they know what they know right it's not good enough to say yeah I know IP addresses or I know how a network works and a couple little check marks or a little letters buying helps give you validity um so even in our team we can say hey you know we're using these certifications to know that you know enough of the basics and enough of the understandings that you have the tools necessary right so I guess my final question for you guys is why an eighth certification is relevant and then second part is share what the livestream folks who aren't yet a certified or might want to jump in to be AVH or certified engineers why is it important so why is it relevant and why shouldn't someone want to be an ace-certified I'm uses the right engineer I think my views a little different I think certification comes from proving that you have the knowledge not proving that you get a certification to get no I mean they're backwards so when you've got the training and the understanding and the you use that to prove and you can like grow your certification list with it versus studying for a test to get a certification and have no understanding of ok so that who is the right person that look at this is saying I'm qualified is it a network engineer is it a DevOps person what's your view you know is it a certain you know I think cloud is really the answer it's the as we talked like the edge is getting eroded so is the network definitions eating eroded we're getting more and more of some network some DevOps some security lots and lots of security because network is so involved in so many of them that's just the next progression there I would say I expand that to more automation engineers because we have those now probably extended as well well I think that the training classes themselves are helpful especially the entry-level ones for people who may be quote-unquote cloud architects but I've never done anything and networking for them to understand why we need those things to really work whether or not they go through to eventually get a certification is something different but I really think fundamentally understanding how these things work it makes them a better architect makes them better application developer but even more so as you deploy more of your applications into the cloud really getting an understanding even from our people who have tradition down on Prem networking they can understand how that's going to work in the cloud - well I know we've got just under 30 seconds left I want to get one more question than just one more for the folks watching that are maybe younger that don't have that networking training from your experiences each of you can answer why is it should they know about networking what's the benefit what's in it for them motivate them share some insights and why they should go a little bit deeper in networking Stacey we'll start with you we'll go down I'd say it's probably fundamental right if you don't deliver solutions networking use the very top I would say if you fundamental of an operating system running on a machine how those machines talk together as a fundamental change is something that starts from the base and work your way up right well I think it's a challenge because you you've come from top down now you're gonna start looking from bottom up and you want those different systems to cross communicate and say you built something and you're overlapping IP space not that that doesn't happen but how can I actually make that still operate without having to reappear e-platform it's like those challenges like those younger developers or sis engineers can really start to get their hands around and understand those complexities and bring that forward in their career they got to know the how the pipes are working and because know what's going some plumbing that's right and the works a how to code it that's right awesome thank you guys for great insights ace certified engineers also known as aces give a round of applause thank you okay all right that concludes my portion thank you Steve thanks for have Don thank you very much that was fantastic everybody round of applause for John Currier yeah so great event great event I'm not going to take long we've got we've got lunch outside for that for the people here just a couple of things just call to action right so we saw the Aces you know for those of you out on the stream here become a certified right it's great for your career it's great for knowledge is is fantastic it's not just an aviatrix thing it's gonna teach you about cloud networking multi-cloud networking with a little bit of aviatrix exactly what the Cisco CCIE program was for IP network that type of the thing that's number one second thing is is is is learn right so so there's a there's a link up there for the four to join the community again like I started this this is a community this is the kickoff to this community and it's a movement so go to what a v8 community bh6 comm starting a community at multi cloud so you know get get trained learn I'd say the next thing is we're doing over a hundred seminars in across the United States and also starting into Europe soon will come out and will actually spend a couple hours and talk about architecture and talk about those beginning things for those of you on the you know on the livestream in here as well you know we're coming to a city near you go to one of those events it's a great way to network with other people that are in the industry as well as to start to learn and get on that multi-cloud journey and then I'd say the last thing is you know we haven't talked a lot about what aviatrix does here and that's intentional we want you you know leaving with wanting to know more and schedule get with us in schedule a multi our architecture workshop session so we we sit out with customers and we talk about where they're at in that journey and more importantly where they're going in that in-state architecture from networking compute storage everything and everything you heard today every panel kept talking about architecture talking about operations those are the types of things that we saw we help you cook define that canonical architecture that system architecture that's yours so for so many of our customers they have three by five plotted lucid charts architecture drawings and it's the customer name slash aviatrix arc network architecture and they put it on their whiteboard that's what what we and that's the most valuable thing they get from us so this becomes their twenty-year network architecture drawing that they don't do anything without talking to us and look at that architecture that's what we do in these multi hour workshop sessions with customers and that's super super powerful so if you're interested definitely call us and let's schedule that with our team so anyway I just want to thank everybody on the livestream thank everybody here hopefully it was it was very useful I think it was and joined the movement and for those of you here join us for lunch and thank you very much [Applause] [Music]

Published Date : Mar 4 2020

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Aviatrix Altitude 2020 | March 3, 2020


 

[Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] you you you you [Music] [Music] [Music] [Music] ladies and gentlemen please take your seats good morning ladies and gentlemen this is your captain speaking we will soon be taking off on our way to altitude please keep your seatbelts fastened and remain in your seats we will be experiencing turbulence until we are above the clouds ladies and gentlemen we are now cruising at altitude sit back and enjoy the ride [Music] altitude is a community of thought leaders and pioneers cloud architects and enlightened network engineers who have individually and are now collectively leading their own IT teams and the industry on a path to lift cloud networking above the clouds empowering Enterprise IT to architect design and control their own cloud network regardless of the turbulent clouds beneath them it's time to gain altitude ladies and gentlemen Steve Mulaney president and CEO of aviatrix the leader of multi cloud networking [Music] [Applause] all right good morning everybody here in Santa Clara as well as to the what millions of people watching the livestream worldwide welcome to altitude 2020 alright so we've got a fantastic event today I'm really excited about the speakers that we have today and the experts that we have and really excited to get started so one of the things I wanted to just share was this is not a one-time event it's not a one-time thing that we're gonna do sorry for the aviation analogy but you know sherry way aviatrix means female pilot so everything we do as an aviation theme this is a take-off for a movement this isn't an event this is a takeoff of a movement a multi-cloud networking movement and community that we're inviting all of you to become part of and-and-and why we're doing that is we want to enable enterprises to rise above the clouds so to speak and build their network architecture regardless of which public cloud they're using whether it's one or more of these public clouds so the good news for today there's lots of good news but this is one good news is we don't have any PowerPoint presentations no marketing speak we know that marketing people have their own language we're not using any of that in those sales pitches right so instead what are we doing we're going to have expert panels we've got some owners chart of Gartner here we've got 10 different network architects cloud architects real practitioners they're going to share their best practices and there are real-world experiences on their journey to the multi cloud so before we start and everybody know what today is in the US it's Super Tuesday I'm not gonna get political but Super Tuesday there was a bigger Super Tuesday that happened 18 months ago and maybe eight six employees know what I'm talking about 18 months ago on a Tuesday every Enterprise said I'm gonna go to the cloud and so what that was was the Cambrian explosion for cloud for the price so Franco Bree you know what a Cambrian explosion is he had to look it up on Google 500 million years ago what happened there was an explosion of life where it went from very simple single-cell organisms to very complex multi-celled organisms guess what happened 18 months ago on a Tuesday I don't really know why but every enterprise like I said all woke up that day and said now I'm really gonna go to cloud and that Cambrian explosion of cloud went meant that I'm moving from very simple single cloud single use case simple environment to a very complex multi cloud complex use case environment and what we're here today is we're gonna go and dress that and how do you handle those those those complexities and when you look at what's happening with customers right now this is a business transformation right people like to talk about transitions this is a transformation and it's actually not just the technology transformation it's a business transformation it started from the CEO and the boards of enterprise customers where they said I have an existential threat to the survival of my company if you look at every industry who they're worried about is not the other 30 year old enterprise what they're worried about is the three year old enterprise that's leveraging cloud that's leveraging AI and that's where they fear that they're going to actually get wiped out right and so because of this existential threat this is CEO lead this is board led this is not technology led it is mandated in the organization's we are going to digitally transform our enterprise because of this existential threat and the movement to cloud is going to enable us to go do that and so IT is now put back in charge if you think back just a few years ago in cloud it was led by DevOps it was led by the applications and it was like I said before their Cambrian explosion is very simple now with this Cambrian explosion and enterprises getting very serious and mission-critical they care about visibility they care about control that about compliance conformance everything governance IT is in charge and and and that's why we're here today to discuss that so what we're going to do today is much of things but we're gonna validate this journey with customers did they see the same thing we're going to validate the requirements for multi-cloud because honestly I've never met an enterprise that is not going to be multi-cloud many are one cloud today but they all say I need to architect my network for multiple clouds because that's just what the network is there to support the applications and the applications will run and whatever cloud it runs best in and you have to be prepared for that the second thing is is is architecture again with the IT in charge you architecture matters whether it's your career whether it's how you build your house it doesn't matter horrible architecture your life is horrible forever good architecture your life is pretty good so we're going to talk about architecture and how the most fundamental and critical part of that architecture and that basic infrastructure is the network if you don't get that right nothing works right way more important and compute way more important than storm dense storage network is the foundational element of your infrastructure then we're going to talk about day two operations what does that mean well day 1 is one day of your life who you wire things up they do and beyond I tell everyone in networking and IT it's every day of your life and if you don't get that right your life is bad forever and so things like operations visibility security things like that how do I get my operations team to be able to handle this in an automated way because it's not just about configuring it in the cloud it's actually about how do i operationalize it and that's a huge benefit that we bring as aviatrix and then the last thing we're going to talk and it's the last panel we have I always say you can't forget about the humans right so all this technology all these things that we're doing it's always enabled by the humans at the end of the day if the humans fight it it won't get deployed and we have a massive skills gap in cloud and we also have a massive skill shortage you have everyone in the world trying to hire cloud network architects right there's just not enough of them going around so at aviatrix we as leaders ooh we're gonna help address that issue and try to create more people we created a program and we call the ACE program again an aviation theme it stands for aviatrix certified engineer very similar to what Cisco did with CCI es what Cisco taught you about IP networking a little bit of Cisco we're doing the same thing we're gonna teach network architects about multi-cloud networking and architecture and yeah you'll get a little bit of aviatrix training in there but this is the missing element for people's careers and also within their organization so we're gonna we're gonna go talk about that so great great event great show when to try to keep it moving I'd next want to introduce my my host he's the best in the business you guys have probably seen him multiple million times he's the co CEO and co-founder of joob John Ferrier [Applause] okay awesome great great speech they're awesome I totally agree with everything you said about the explosion happening and I'm excited here at the heart of Silicon Valley to have this event it's a special digital event with the cube and aviatrix where we live streaming to millions of people as you said maybe not a million maybe not really take this program to the world this is a little special for me because multi-cloud is the hottest wave and cloud and cloud native networking is fast becoming the key engine of the innovation so we got an hour and a half of action-packed programming we have a customer panel to customer panels before that Gartner is going to come out and talk about the industry we have a global system integrators they talk about how they're advising and building these networks and cloud native networking and then finally the Aces the aviatrix certified engineer is gonna talk more about their certifications and the expertise needed so let's jump right in and let's ask some own rashard to come on stage from Gartner we'll kick it all up [Applause] [Music] okay so kicking things off certain started gardener the industry experts on cloud really kind of more to your background talk about your background before you got the gardener yeah before because gardener was a chief network architect of a fortune five companies with thousands of sites over the world and I've been doing everything and IT from a C programmer the ninety-two a security architect to a network engineer to finally becoming a network analyst so you rode the wave now you're covering in the marketplace with hybrid cloud and now moving quickly to multi cloud is really was talking about cloud natives been discussed but the networking piece is super important how do you see that evolving well the way we see Enterprise adapt in cloud first thing you do about networking the initial phases they either go in a very ad hoc way is usually led by non non IT like a shadow IT or application people are sometime a DevOps team and it's it just goes as it's completely unplanned decreed VP sees left and right as with different account and they create mesh to manage them and they have direct connect or Express route to any of them so that's what that's a first approach and on the other side again it within our first approach you see what I call the lift and shift way we see like Enterprise IT trying to basically replicate what they have in a data center in the cloud so they spend a lot of time planning doing Direct Connect putting Cisco routers and f5 and Citrix and any checkpoint Palo Alto divides that the atoms that are sent removing that to that cloud they ask you the aha moments gonna come up a lot of our panels is where people realize that it's a multi cloud world I mean they either inherit clouds certainly they're using public cloud and on-premises is now more relevant than ever when's that aha moment that you're seeing where people go well I got to get my act together and get on this well the first but even before multi-cloud so these two approach the first one like the ad hoc way doesn't scale at some point idea has to save them because they don't think about the - they don't think about operations we have a bunch of VPC and multiple clouds the other way that if you do the left and shift week they cannot take any advantages of the cloud they lose elasticity auto-scaling pay by the drink these feature of agility features so they both realize okay neither of these words are good so I have to optimize that so I have to have a mix of what I call the cloud native services within each cloud so they start adapting like other AWS constructor is your construct or Google construct and that's what I call the optimal phase but even that they realize after that they are very different all these approaches different the cloud are different identities is completely difficult to manage across clouds I mean for example AWS as accounts there's subscription and in as ER and GCP their projects it's a real mess so they realize well I can't really like concentrate used the cloud the cloud product and every cloud that doesn't work so I have I'm doing multi cloud I like to abstract all of that still wanna manage the cloud from an epi xx view I don't necessarily want to bring my incumbent data center products but I have to do that in a more API driven cloud they're not they're not scaling piece and you were mentioning that's because there's too many different clouds yes that's the piece there so what are they doing whether they read they building different development teams as its software what's the solution well this the solution is to start architecting the cloud that's the third phase I call that the multi cloud architect phase where they have to think about abstraction that works across cloud fact even across one cloud it might not scale as well if you start having like 10,000 security group in AWS that doesn't scale you have to manage that if you have multiple VPC it doesn't scale you need a third-party identity provider so it barely scales within one cloud if you go multiple cloud it gets worse and worse see way in here what's your thoughts I thought we said this wasn't gonna be a sales pitch for aviatrix you just said exactly what we do so anyway up just a joke what do you see in terms of where people are in that multi cloud like a lot of people you know everyone I talked to started in one cloud right but then they look and they say okay but I'm now gonna move to adjourn I'm gonna move do you see a similar thing well yes they are moving but they're not there's not a lot of application that use a tree cloud at once they move one app in Azure one app in individuals one get app in Google that's what we see so far okay yeah I mean one of the mistakes that people think is they think multi-cloud no one is ever gonna go multi-cloud for arbitrage they're not gonna go and say well today I might go into Azure because I got a better rate of my instance that's never do you agree with that's never gonna happen what I've seen with enterprise is I'm gonna put the work load and the app the app decides where it runs best that may be a sure maybe Google and for different reasons and they're gonna stick there and they're not gonna move let me ask you infrastructure has to be able to support from a networking King be able to do that do you agree with that yes I agree and one thing is also very important is connecting to that cloud is kind of the easiest thing so though while I run network part of the cloud connectivity to the cloud is kind of simple you know I agree IPSec VPN and I reckon Express route that's a simple part what's difficult and even a provisioning part is easy you can use terraform and create v pieces and v nets across which we cloud providers right what's difficult is the day-to-day operations so it's what to find a to operations what is that what does that actually mean it's just the day-to-day operations after you know the natural let's add an app that's not a server let's troubleshoot a problem so what ending so your life if something changes now what do you do so what's the big concerns I want to just get back to this cloud native networking because everyone kind of knows with cloud native apps are that's the hot trend what is cloud native networking how do you how do you guys define that because that seems to be the oddest part of the multi cloud wave that's coming as cloud native networking well there's no you know official gardener definition but I can create one on another spot is do it I just want to leverage the cloud construct and a cloud epi I don't want to have to install like like for example the first version was let's put a virtual router that doesn't understand and then the cloud environment right if I have if I have to install a virtual machine it has to be cloud aware it has to understand the security group if it's a router it has to be programmable to the cloud API and and understand the cloud environment you know one things I hear a lot from either see Saussure CIOs or CXOs in general is this idea of I'm definitely on going API so it's been an API economy so API is key on that point but then they say okay I need to essentially have the right relationship with my suppliers aka clouds you call it above the clouds so the question is what do i do from an architecture standpoint do I just hire more developers and have different teams because you mentioned that's a scale point how do you solve this this problem of okay I got AWS I got GCP or Azure or whatever do I just have different teams or just expose API guys where is that optimization where's the focus well I think what you need from an android point of view is a way a control plane across the three clouds and be able to use the api of that cloud to build networks but also to troubleshoot them and do they to operation so you need a view across a three cloud that takes care of routing connectivity that's you know that's the aviatrix plug of view right there so so how do you see so again your Gartner you you you you see the industry you've been a network architect how do you see this this plan out what are the what are the legacy incumbent client-server on-prem networking people gonna do well these versus people like aviatrix well how do you see that playing out well obviously all the incumbent like Arista cisco juniper NSX right they want to basically do the lift and chip are they want to bring and you know VM I want to bring in a section that cloud they call that NSX everywhere and cisco wants bring you star in the cloud they call that each guy anywhere right so everyone what and and then there's cloud vision for my red star and Khan trailers in a cloud so they just want to bring the management plain in the cloud but it's still based most of them it's still based on putting a VM them in controlling them right you you extend your management console to the cloud that's not really cloud native right cloud native you almost have to build it from scratch we like to call that cloud naive well not so close one letter yeah so that was a big culture to reinvent take the tea out of cloud native it's cloud naive that went super viral you guys got t-shirts now I know you love yeah but yeah but that really ultimately is kind of a double-edged sword you got to be you can be naive on the on the architecture side and rolling up but also suppliers are can be naive so how would you define who's naive and who's not well in fact they're evolving as well so for example in Cisco you it's a little bit more native than other ones because they're really scr in the cloud you can't you you really like configure API so the cloud and NSX is going that way and so is Arista but they're incumbent they have their own tools is difficult for them they're moving slowly so it's much easier to start from scratch Avenue like and you know a network happiness started a few years ago there's only really two aviatrix was the first one they've been there for at least three or four years and there's other ones like Al Kyra for example that just started now that doing more connectivity but they want to create an overlay network across the cloud and start doing policies and trying abstracting all the clouds within one platform so I gotta ask you I interviewed an executive at VMware Sanjay Pune and he said to me at RSA last week I was only be two networking vendors left Cisco and VMware what's your respect what's your response to that obviously I mean when you have these waves as new brands that emerge like aviation others though I think there'll be a lot of startups coming out of the woodwork how do you respond to that comment well there's still a data center there's still like a lot of action on campus and there's the one but from the cloud provisioning and clown networking in general I mean they're behind I think you know in fact you don't even need them to start to it you can if you're small enough you can just keep if you're in a table us you can use it with us construct they have to insert themselves I mean they're running behind they're all certainly incumbents I love the term Andy Jesse's that Amazon Web Services uses old guard new guard to talk about the industry what does the new guard have to do the new and new brands that emerge in is it be more DevOps oriented neck net sec Ops is that net ops is the programmability these are some of the key discussions we've been having what's your view on how you see this ability their most important part is they have to make the network's simple for the dev teams and from you cannot have that you cannot make a phone call and get it V line in two weeks anymore so if you move to that cloud you have to make the cloud construct as simple enough so that for example a dev team could say okay I'm going to create this V PC but this V PC automatically being your associate your account you cannot go out on the internet you have to go to the transit VPC so there's a lot of action in terms of the I am part and you have to put the control around them too so to make it as simple as possible you guys both I mean you're the COC aviatrix but also you guys a lot of experience going back to networking going back to I call the OSI days which for us old folks know what that means but you guys know this means I want to ask you the question as you look at the future of networking here a couple of objections oh the cloud guys they got networking we're all set with them how do you respond to the fact that networking is changing and the cloud guys have their own networking what some of the pain points that's going on premises and these enterprises so are they good with the clouds what needs what are the key things that's going on in networking that makes it more than just the cloud networking what's your take on well as I said earlier that once you you could easily provision in the cloud you can easily connect to the cloud is when you start troubleshooting application in the cloud and try to scale so this that's what the problem occurs see what you're taking on it and you'll hear from the from the customers that that we have on stage and I think what happens is all the cloud the clouds by definition designed to the 80/20 rule which means they'll design 80% of the basic functionality and they'll lead to 20% extra functionality that of course every Enterprise needs they'll leave that to ISVs like aviatrix because why because they have to make money they have a service and they can't have huge instances for functionality that not everybody needs so they have to design to the common and that's they all do it right they have to and then the extra the problem is that can be an explosion that I talked about with enterprises that's holy that's what they need that they're the ones who need that extra 20% so that's that's what I see is is there's always going to be that extra functionality that in an automated and simple way that you talked about but yet powerful with up with the visible in control that they expect of on prep that that's that kind of combination that yin and the yang that people like us are providing some I want to ask you were gonna ask some of the cloud architect customer panels it's the same question this pioneers doing some work here and there's also the laggers who come in behind the early adopters what's gonna be the tipping point what are some of those conversations that the cloud architects are having out there or what's the signs that they need to be on this multi cloud or cloud native networking trend what are some of the signals that are going on their environment what are some of the thresholds or things that are going on that there can pay attention to well one once they have application and multiple cloud and they have they get wake up at 2:00 in the morning to troubleshoot them they don't know it's important so I think that's the that's where the robbery will hit the road but as I said it's easier to prove it it's okay it's a TBS it's easy use a transit gateway put a few V PCs and you're done and you create some presents like equinox and do Direct Connect and Express route with Azure that looks simple as the operations that's when they'll realize okay now I need to understand our car networking works I also need a tool that give me visibility and control not but I'm telling you that I need to understand a basic underneath it as well what are some of the day in the life scenarios that you envision happening with multi cloud because you think about what's happening it kind of has that same vibe of interoperability choice multi vendor because you have multi clouds essentially multi vendor these are kind of old paradigms that we've lived through the client-server an internet working wave what are some of those scenarios of success and that might be possible it would be possible with multi cloud and cloud native networking well I think once you have good enough visibility to satisfy your customers you know you not only like to keep the service running an application running but to be able to provision fast enough I think that's what you want to achieve small final question advice for folks watching on the live stream if they're sitting there as a cloud architect or a CXO what's your advice to them right now in this because honestly public cloud check hybrid cloud they're working on that that kids on premise is done now multi class right behind it what's your advice the first thing they should do is really try to understand cloud networking for each of their cloud providers and then understand the limitation and is what there's cloud service provider offers enough or you need to look to a third party but you don't look at a third party to start with especially an incumbent one so it's tempting to say I have a bunch of f5 experts nothing against f5 I'm going to bring my five in a cloud when you can use a needle be that automatically understand is ease and auto scaling and so on and you understand that's much simpler but sometimes you need you have five because you have requirements you have like AI rules and that kind of stuff that you use for years you cannot do it's okay I have requirement and that met I'm going to use legacy stuff and then you have to start taking okay what about visibility control about the three cloud but before you do that you have to understand the limitation of the existing cloud providers so first try to be as native as possible until things don't work after that you can start taking multi-cloud great insight somewhat thank you for coming summit in charge with Gardner thanks for sharing thank you appreciate it thanks [Applause] informatica is known as the leading enterprise cloud data management company we are known for being the top in our industry in at least five different products over the last few years especially we've been transforming into a cloud model which allows us to work better with the trends of our customers in order to see agile and effective in a business you need to make sure that your products and your offerings are just as relevant in all these different clouds than what you're used to and what you're comfortable with one of the most difficult challenges we've always had is that because we're a data company we're talking about data that a customer owns some of that data may be in the cloud some of that data may be on Prem some of that data may be actually in their data center in another region or even another country and having that data connect back to our systems that are located in the cloud has always been a challenge when we first started our engagement myth aviatrix we only had one plan that was Amazon it wasn't till later that a jerk came up and all of a sudden we found hey the solution we already had in place for her aviatrix already working in Amazon and now works in Missouri as well before we knew what GCP came up but it really wasn't a big deal for us because we already had the same solution in Amazon and integer now just working in GCP by having a multi cloud approach we have access to all three of them but more commonly it's not just one it's actually integrations between multiple we have some data and ensure that we want to integrate with Amazon we have some data in GCP that we want to bring over to a data Lake measure one of the nice things about aviatrix is that it gives a very simple interface that my staff can understand and use and manage literally hundreds of VPNs around the world and while talking to and working with our customers who are literally around the world now that we've been using aviatrix for a couple years we're actually finding that even problems that we didn't realize we had were actually solved even before we came across the problem and it just worked cloud companies as a whole are based on reputation we need to be able to protect our reputation and part of that reputation is being able to protect our customers and being able to protect more importantly our customers data aviatrix has been helpful for us in that we only have one system that can manage this whole huge system in a simple easy direct model aviatrix is directly responsible for helping us secure and manage our customers not only across the world but across multiple clouds users don't have to be VPN or networking experts in order to be able to use the system all the members on my team can manage it all the members regardless of their experience can do different levels of it one of the unexpected two advantages of aviatrix is that I don't have to sell it to my management the fact that we're not in the news at three o'clock in the morning or that we don't have to get calls in the middle of the night no news is good news especially in networking things that used to take weeks to build or done in hours I think the most important thing about a matrix is it provides me consistency aviatrix gives me a consistent model that I can use across multiple regions multiple clouds multiple customers okay welcome back to altitude 2020 for the folks on the livestream I'm John for Steve Mulaney with CEO of aviatrix for our first of two customer panels on cloud with cloud network architects we got Bobby Willoughby they gone Luis Castillo of National Instruments David should Nick with fact set guys welcome to the stage for this digital event come on up [Applause] [Music] hey good to see you thank you okay okay customer pal this is my favorite part we get to hear the real scoop against a gardener given this the industry overview certainly multi clouds very relevant and cloud native networking is the hot trend with a live stream out there and the digital event so guys let's get into it the journey is you guys are pioneering this journey of multi cloud and cloud native networking and the soon gonna be a lot more coming so I want to get into the journey what's it been like is it real you got a lot of scar tissue and what are some of the learnings yeah absolutely so multi cloud is whether or not we we accepted as a network engineers is a reality like Steve said about two years ago companies really decided to to just to just bite the bullet and and and move there whether or not whether or not we we accept that fact we need to now create a consistent architecture across across multiple clouds and that that is challenging without orchestration layers as you start managing different different tool sets and different languages across different clouds so that's it's really important that to start thinking about that guys on the other panelists here there's different phases of this journey some come at it from a networking perspective some come in from a problem troubleshooting what's what's your experiences yeah so from a networking perspective it's been incredibly exciting it's kind of a once-in-a-generation --all opportunity to look at how you're building out your network you can start to embrace things like infrastructure as code that maybe your peers on the systems teams have been doing for years but it just never really worked on bram so it's really it's really exciting to look at all the opportunities that we have and then all the interesting challenges that come up that you that you get to tackle an effect said you guys are mostly AWS right yep right now though we're we are looking at multiple clouds we have production workloads running in multiple clouds today but a lot of the initial work has been with Amazon and you've seen it from a networking perspective that's where you guys are coming at it from yep yeah we evolved more from a customer requirement perspective started out primarily as AWS but as the customer needed more resources to measure like HPC you know as your ad things like that even recently Google at Google Analytics our journey has evolved into more of a multi cloud environment Steve weigh in on the architecture because this has been the big conversation I want you to lead this second yeah so I mean I think you guys agree the journey you know it seems like the journey started a couple years ago got real serious the need for multi cloud whether you're there today of course it's gonna be there in the future so that's really important I think the next thing is just architecture I'd love to hear what you had some comments about architecture matters it all starts I mean every Enterprise I talk to maybe talk about architecture and the importance of architecture maybe Bobby it's a particular perspective we sorted a journey five years ago Wow okay and we're just now starting our fourth evolution of our network architect and we'll call it networking security net sec yep versus Justice Network and that fourth generation architectures be based primarily upon Palo Alto Networks an aviatrix I have a trick to in the orchestration piece of it but that journey came because of the need for simplicity ok the need for a multi cloud orchestration without us having to go and do reprogramming efforts across every cloud as it comes along right I guess the other question I also had around architectures also Louis maybe just talk about I know we've talked a little bit about you know scripting right and some of your thoughts on that yeah absolutely so so for us we started we started creating the network constructs with cloud formation and we've we've stuck with that for for the most part what's interesting about that is today on premise we have a lot of a lot of automation around around around how we provision networks but cloud formation has become a little bit like the new manual for us so we're now having issues with having the to automate that component and making it consistent with our on premise architecture making it consistent with Azure architecture and Google cloud so it's really interesting to see to see companies now bring that layer of abstraction that sty and brought to the do the web side now it's going up into into the into the cloud networking architecture so on the fourth generation of you mentioned you're in the fourth gen architecture what do you guys what have you learned is there any lessons scar tissue what to avoid what worked what was the middle it was a path that's probably the biggest lesson there is that when you think you finally figured it out you have it right Amazon will change something as you change something you know transit gateways a game changer so in listening to the business requirements is probably the biggest thing we need to do up front but I think from a simplicity perspective we like I said we don't want to do things four times we want to do things one time we won't be able to write to an API which aviatrix has and have them do the orchestration for us so that we don't have to do it four times how important is architecture in the progression is it you guys get thrown in the deep end to solve these problems or you guys zooming out and looking at it it's a I mean how are you guys looking at the architecture I mean you can't get off the ground if you don't have the network there so all of those now we've gone through similar evolutions we're on our fourth or fifth evolution I think about what we started off with Amazon without a direct connect gateway about a trans a gateway without a lot of the things that are available today kind of the 80/20 that Steve was talking about just because it wasn't there doesn't mean we didn't need it so we needed to figure out a way to do it we couldn't say oh you need to come back to the network team in a year and maybe Amazon will have a solution for it right you need to do it now and it evolved later and maybe optimized for change the way you're doing things in the future but don't sit around and wait you can't I'd love to have you guys each individually answer this question for the live stream because it comes up a lot a lot of cloud architects out in the community what should they be thinking about the folks that are coming into this proactively and/or realizing the business benefits are there what advice would you guys give them an architecture what should be they be thinking about and what are some guiding principles you could share so I would start with looking at an architecture model that that can that can spread and and give consistency they're different to different cloud vendors that you will absolutely have to support cloud vendors tend to want to pull you into using their native toolset and that's good if only it was realistic to talk about only one cloud but because it doesn't it's it's it's super important to talk about and have a conversation with the business and with your technology teams about a consistent model so that's David yeah talking as we prepare about a day to operations so how do I design how do I do my day one work so that I'm not you know spending eighty percent of my time troubleshooting or managing my network because I'm doing that then I'm missing out on ways that I can make improvements or embrace new technologies so it's really important early on to figure out how do I make this as low maintenance as possible so that I can focus on the things that the team really should be focusing on Bobby your advice to the architect I don't know what else I can do that simplicity of operations is key right all right so the holistic view of j2 operation you mentioned let's could jump in day one is you're you're you're getting stuff set up day two is your life after all right this is kind of what you're getting at David so what does that look like what are you envisioning as you look at that 20 miles their outpost multi-cloud world what are some of the things then you want in a day to operations yeah infrastructure is code is really important to us so how do we how do we design it so that we can fit start making network changes and fitting them into like a release pipeline and start looking at it like that rather than somebody logging into a router seoi and troubleshooting things on in an ad hoc nature so moving more towards a DevOps model there's anything on that day - yeah I would love to add something so in terms of date to operations you can you can either sort of ignore the day - operations for a little while where you get well well you get your feet wet or you can start approaching it from the beginning the fact is that the the cloud native tools don't have a lot of maturity in that space and when you run into an issue you're gonna end up having a bad day going through millions and millions of logs just to try to understand what's going on so that's something that that the industry just now is beginning to to realize it's it's such as such a big gap I think that's key because for us we're moving to more of an event-driven operations in the past monitoring got the job done it's impossible to modern monitor something that it's nothing there when the event happens all right so the event-driven application and then detection is important yeah I think Gardner was all about the cloud native wave coming into networking that's gonna be a serious thing I want to get you guys perspectives I know you have different views of how you come into the journey and how you're executing and I always say the beauties in the eye of the beholder and that kind of applies how the network's laid out so Bobby you guys do a lot of high-performance encryption both on AWS and Azure that's kind of a unique thing for you how are you seeing that impact with multi cloud yeah and that's a new requirement for us to where we we have an equipment to encrypt and they they never get the question should i encryption and I'll encrypt the answer is always yes you should encrypt when you can encrypt for our perspective we we need to migrate a bunch of data from our data centers we have some huge data centers and then getting that data to the cloud is the timely experiencing some cases so we have been mandated that we have to encrypt everything leaving the data center so we're looking at using the aviatrix insane mode appliances to be able to encrypt you know 10 20 gigabits of data as it moves to the cloud itself David you're using terraform you got fire Ned you got a lot of complexity in your network what do you guys look at the future for your environment yeah so something exciting that or yeah now is fire net so for our security team they obviously have a lot of a lot of knowledge base around Palo Alto and with our commitments to our clients you know it's it's it's not very easy to shift your security model to a specific cloud vendor right so there's a lot of stuck to compliance or things like that where being able to take some of what you've you know you've worked on for years on Bram and put it in the cloud and have the same type of assurance that things are gonna work and be secure in the same way that they are on prem helps make that journey into the cloud a lot easier and Louis you guys got scripting you got a lot of things going on what's your what's your unique angle on this yeah no absolutely so full disclosure I'm not a not not an aviatrix customer yet it's ok wanna hear the truth that's good Ellis what are you thinking about what's on your mind no really when you when you talk about implementing the tool like this it's really just really important to talk about automation and focus on on value so when you talk about things like encryption and things like so yeah encrypting tunnels and encrypting the paths and those things are it should it should should be second nature really when you when you look at building those backends and managing them with your team it becomes really painful so tools like aviatrix that that add a lot of automation it's out of out of sight out of mind you can focus on the value and you don't have to focus on so I gotta ask you guys I'll see aviatrix is here they're their supplier to the sector but you guys are customers everyone's pitching you stuff these people are not gonna here to buy my stuff how do you guys have that conversation with the suppliers like the cloud vendors and other folks what's the what's it like we're API all the way you got to support this what are some of the what are some of your requirements how do you talk to and evaluate people that walk in and want to knock on your door and pitch you something what's the conversation like it's definitely it's definitely API driven we we definitely look at the at the PAP i structure of the vendors provide before we select anything that that is always first of mine and also what a problem are we really trying to solve usually people try to sell or try to give us something that isn't really valuable like implementing a solution on the on the on the cloud isn't really it doesn't really add a lot of value that's where we go David what's your conversation like with suppliers you have a certain new way to do things as as becomes more agile and essentially the networking and more dynamic what are some of the conversation is with the either incumbents or new new vendors that you're having what do what do you require yeah so ease of use is definitely definitely high up there we've had some vendors come in and say you know hey you know when you go to set this up we're gonna want to send somebody on-site and they're gonna sit with you for a day to configure it and that's kind of a red flag what wait a minute you know do we really if one of my really talented engineers can't figure it out on his own what's going on there and why is that so you know having having some ease-of-use and the team being comfortable with it and understanding it is really important probably how about you I mean the old days was do a bake-off and you know the winner takes all I mean is it like that anymore what's involving take off last year first you win so but that's different now because now you and you when you get the product you can install the product in AWS energy or have it up and running a matter of minutes and so key is is that it can you be operational you know within hours or days instead of weeks right but do we also have the flexibility to customize it to meet your needs could you want to be you want to be put into a box with the other customers we have needs that surpassed or cut their needs yeah I almost see the challenge of you guys are living where you've got the cloud immediate value depending on roll-up any solutions but then you have might have other needs so you've got to be careful not to buy into stuff that's not shipping so you're trying to be proactive at the same time deal with what you got I mean how do you guys see that evolving because multi-cloud to me is definitely relevant but it's not yet clear how to implement across how do you guys look at this baked versus you know future solutions coming how do you balance that so again so right now we we're we're taking the the ad hoc approach and and experimenting with the different concepts of cloud and really leveraging the the native constructs of each cloud but but there's it there's a breaking point for sure you don't you don't get to scale this I like like Seamon said and you have to focus on being able to deliver a developer they're their sandbox or their play area for the for the things that they're trying to build quickly and the only way to do that is with the with with some sort of consistent orchestration layer that allows you to so you've spent a lot more stuff to be coming pretty quickly IDEs area I do expect things to start to start maturing quite quite quickly this year and you guys see similar trend new stuff coming fast yeah you know part of the biggest challenge we've got now is being able to segment within the network being able to provide segmentation between production on production workloads even businesses because we support many businesses worldwide and and isolation between those is a key criteria there so the ability to identify and quickly isolate those workloads is key so the CIOs that are watching or that are saying hey take that he'll do multi cloud and then you know the bottoms up organization take pause you're kind of like off it's not how it works I mean what is the reality in terms of implementing you know in as fast as possible because the business benefits are clear but it's not always clear in the technology how to move that fast yeah what are some of the barriers what are the blockers what are the enablers I think the reality is is that you may not think your multi-cloud but your business is right so I think the biggest barriers there is understanding what the requirements are and how best to meet those requirements Inc and then secure manner because you need to make sure that things are working from a latency perspective that things work the way they did and get out of the mind shift that you know it was a cheery application in the data center it doesn't have to be a Tier three application in the cloud so lift and shift is is not the way to go scale is a big part of what I see is the competitive advantage to lot of these clouds and they used to be proprietary network stacks in the old days and then open systems came that was a good thing but as clouds become bigger there's kind of an inherent lock in there with the scale how do you guys keep the choice open how're you guys thinking about interoperability what are some of the conversations and you guys are having around those key concepts well when we look at when we look at the problem from a networking perspective it it's really key for you to just enable enable all the all the clouds to be to be able to communicate between them developers will will find a way to use the cloud that best suits their their business need and and like like you said it's whether whether you're in denial or not of the multi cloud fact that then your company is in already that's it becomes really important for you to move quickly yeah and a lot of it also hinges on how well is the provider embracing what that specific cloud is doing so are they are they swimming with Amazon or Azure and just helping facilitate things they're doing the you know the heavy lifting API work for you or are they swimming upstream and they're trying to hack it all together in a messy way and so that helps you you know stay out of the lock-in because they're you know if they're doing if they're using Amazon native tools to help you get where you need to be it's not like Amazon's gonna release something in the future that completely you know you have designed yourself into a corner so the closer they're more than cloud native they are the more the easier it is to to deploy but you also need to be aligned in such a way that you can take advantage of those cloud native technologies will they make sense tgw is a game changer in terms of cost and performance right so to completely ignore that would be wrong but you know if you needed to have encryption you know teach Adobe's not encrypted so you need to have some type of a gateway to do the VPN encryption you know so the aviatrix tool gives you the beauty of both worlds you can use tgw or the Gateway Wow real quick in the last minute we have I want to just get a quick feedback from you guys I hear a lot of people say to me hey the I picked the best cloud for the workload you got and then figure out multi cloud behind the scenes so that seems to be do you guys agree with that I mean is it do I go mole to one cloud across the whole company or this workload works great on AWS that work was great on this from a cloud standpoint you agree with that premise and then witness multi-cloud stitch them all together yeah from from an application perspective it it can be per workload but it can also be an economical decision certain enterprise contracts will will pull you in one direction to add value but the the network problem is still the same go away yeah yeah I mean you don't want to be trying to fit a square into a round Hall right so if it works better on that cloud provider then it's our job to make sure that that service is there and people can use it agree you just need to stay ahead of the game make sure that the then they're working for structure is there secure is available and is multi cloud capable yeah I'm at the end the day you guys just validating that it's the networking game now cloud storage compute check networking is where the action is awesome thanks for your insights guys appreciate you coming on the panel appreciate Thanks thank you [Applause] [Music] [Applause] okay welcome back on the live feed I'm John for its Dee Mulaney my co-host with aviatrix I'm with the cube for the special digital event our next customer panel got great another set of cloud network architects Justin Smith was aura Justin broadly with Ellie Mae and Amit Oh tree job with Koopa Pokemon stage [Applause] all right thank you thank you oK you've got all the cliff notes from the last session welcome rinse and repeat yeah yeah we're going to go under the hood a little bit I think I think they nailed the what we've been reporting and we've been having this conversation around networking is where the action is because that's the end of the day you got a move attack from A to B and you get work gloves exchanging data so it's really killer so let's get started Amit what are you seeing as the journey of multi cloud as you go under the hood and say okay I got to implement this I have to engineer the network make it enabling make it programmable make it interoperable across clouds I mean that's like I mean almost sounds impossible to me what's your taking yeah I mean it it seems impossible but if you are running an organization which is running infrastructure as a cordon all right it is easily doable like you can use tools out there that's available today you can use third-party products that can do a better job but but put your architecture first don't wait architecture may not be perfect put the best architecture that's available today and be agile to iterate and make improvements over the time we got to Justin's over here so I have to be careful when I point a question adjusting they both have to answer but okay journeys what's the journey been like I mean is there phases we heard that from Gardner people come into multi cloud and cloud native networking from different perspectives what's your take on the journey Justin yeah I mean from Mars like to we started out very much focused on one cloud and as we started doing Atkins we started doing new products the market the need for multi cloud comes very apparent very quickly for us and so you know having an architecture that we can plug in play into and be able to add and change things as it changes is super important for what we're doing in the space just in your journey yes for us we were very ad hoc oriented and the idea is that we were reinventing all the time trying to move into these new things and coming up with great new ideas and so rather than it being some iterative approach with our deployments that became a number of different deployments and so we shifted that tour and the network has been a real enabler of this is that it there's one network and it touches whatever cloud we want it to touch and it touches the data centers that we need it to touch and it touches the customers that we need it to touch our job is to make sure that the services that are available and one of those locations are available in all of the locations so the idea is not that we need to come up with this new solution every time it's that we're just iterating on what we've already decided to do before we get the architecture section I want to ask you guys a question I'm a big fan of you know let the app developers have infrastructure as code so check but having the right cloud run that workload I'm a big fan of that if it works great but we just heard from the other panel you can't change the network so I want to get your thoughts what is cloud native networking and is that the engine really got the enabler for this multi cloud trend but you guys taken we'll start with a mint what do you think about that yeah so you are gonna have workloads running in different clouds and the workloads would have affinity to one cloud over other but how you expose that it's matter of how you are going to build your networks how we are going to run security how we are going to do egress ingress out of it so it means the big problem how do you split says what's the solution what's the end the key pain points and problem statement I mean the key pain point for most companies is how do you take your traditional on-premise network and then blow that out to the cloud in a way that makes sense you know IP conflicts you have IP space you pub public eye peas and premise as well as in the cloud and how do you kind of make a sense of all of that and I think that's where tools like aviatrix make a lot of sense in that space from our site it's it's really simple it's a latency and bandwidth and availability these don't change whether we're talking about cloud or data center or even corporate IT networking so our job when when these all of these things are simplified into like s3 for instance and our developers want to use those we have to be able to deliver that and for a particular group or another group that wants to use just just GCP resources these aren't we have to support these requirements and these wants as opposed to saying hey that's not a good idea our job is to enable them not to disable them do you think I do you guys think infrastructure has code which I love that I think that's the future it is we saw that with DevOps but I just start getting the networking is it getting down to the network portion where it's network is code because stores and compute working really well is seeing all kubernetes and service master and network is code reality is that there is got work to do it's absolutely there I mean you mentioned net DevOps and it's it's very real I mean in Cooper we build our networks through terraform and on not only just out of fun build an API so that we can consistently build V nets and VPC all across in the same way three guys do it yeah and even security groups and then on top an aviatrix comes in we can peer the networks bridge bridge all the different regions through code same with you guys but yeah think about this everything we deploy is done with automation and then we also run things like lambda on top to make changes in real time we don't make manual changes on our network in the data center funny enough it's still manual but the cloud has enabled us to move into this automation mindset and and all my guys that's what they focus on is is bringing what now what they're doing in the cloud into the data center which is kind of opposite of what it should be that's full or what it used to be it's full DevOps then yes yeah I mean for us was similar on premise still somewhat very manual although we're moving more Norton ninja and terraform concepts but everything in the production environment is colored confirmation terraform code and now coming into the datacenter same I just wanted to jump in on a Justin Smith one of the comment that you made cuz it's something that we always talk about a lot is that the center of gravity of architecture used to be an on-prem and now it's shifted in the cloud and once you have your strategic architecture what you--what do you do you push that everywhere so what you used to see at the beginning of cloud was pushing the architecture on prem into cloud now i want to pick up on what you said to you others agree that the center of architect of gravity is here i'm now pushing what i do in the cloud back into on-prem and what and then so first that and then also in the journey where are you at from 0 to 100 of actually in the journey to cloud do you 50% there are you 10% are you vacuum datacenters next year I mean were you guys at yeah so there's there's two types of gravity that you typically are dealing with with no migration first is data gravity and your data set and where that data lives and then the second is the network platform that interrupts all that together in our case the data gravity sold mostly on Prem but our network is now extend out to the app tier that's gonna be in cloud right eventually that data gravity will also move to cloud as we start getting more sophisticated but you know in our journey we're about halfway there about halfway through the process we're taking a handle of lift and shift and when did that start and we started about three years ago okay okay cool bye it's a very different story it started from a garage and 100% on the clock it's a business spend management platform as a software as a service 100% on the cloud it was like 10 years ago right yes yeah you guys are riding the wave love that architecture Justin I want to ask you is or you guys mentioned DevOps I mean honestly we saw the huge observability wave which is essentially network management for the cloud in my opinion right yeah it's more dynamic but this is about visibility we heard from the last panel you don't know what's being turned on or turned off from a services standpoint at any given time how is all this playing out when you start getting into the DevOps down well this this is the big challenge for all of us as visibility when you talk transport within a cloud you know we very interesting we have moved from having a backbone that we bought that we owned that would be data center connectivity we now I work for as or as a subscription billing company so we want to support the subscription mindset so rather than going and buying circuits and having to wait three months to install and then coming up with some way to get things connected and resiliency and redundancy I my backbone is in the cloud I use the cloud providers interconnections between regions to transport data across and and so if you do that with their native solutions you you do lose visibility there there are areas in that that you don't get which is why controlling you know controllers and having some type of management plane is a requirement for us to do what we're supposed to do and provide consistency while doing it a great conversation I loved when you said earlier latency bandwidth I think availability with your sim pop3 things guys SLA I mean you just do ping times between clouds it's like you don't know what you're getting for round-trip times this becomes a huge kind of risk management black hole whatever you want to call blind spot how are you guys looking at the interconnects between clouds because you know I can see that working from you know ground to cloud I'm per cloud but when you start doing with multi clouds workloads SLA is will be all of the map won't they just inherently but how do you guys view that yeah I think we talked about workload and we know that the workloads are going to be different in different clouds but they are going to be calling each other so it's very important to have that visibility that you can see how data is flowing at what latency and what our ability is hour is there and our authority needs to operate on that so it's solely use the software dashboard look at the times and look at the latency in the old day is strong so on open so on you try to figure it out and then your day is you have to figure out just what's your answer to that because you're in the middle of it yeah I mean I think the key thing there is that we have to plan for that failure we have to plan for that latency in our applications that's starting start tracking your SLI something you start planning for and you loosely couple these services and a much more micro services approach so you actually can handle that kind of failure or that type of unknown latency and unfortunately the cloud has made us much better at handling exceptions a much better way you guys are all great examples of cloud native from day one and you guys had when did you have the tipping point moment or the Epiphany of saying a multi clouds real I can't ignore it I got to factor it into all my design design principles and and everything you're doing what's it was there a moment over that was it from day one now there are two divisions one was the business so in business there was some affinity to not be in one cloud or to be in one cloud and that drove from the business side so as a cloud architect our responsibility was to support that business and other is the technology some things are really running better in like if you are running dot network load or you are going to run machine learning or AI so that you have you would have that reference of one cloud over other so it was the bill that we got from AWS I mean that's that's what drives a lot of these conversations is the financial viability of what you're building on top of it which is so we this failure domain idea which is which is fairly interesting how do I solve our guarantee against a failure domain you have methodologies with you know back-end direct connects or interconnect with GCP all of these ideas are something that you have to take into account but that transport layer should not matter to whoever we're building this for our job is to deliver the frames in the packets what that flows across how you get there we want to make that seamless and so whether it's a public Internet API call or it's a back-end connectivity through Direct Connect it doesn't matter it just has to meet a contract that you signed with your application folks yeah that's the availability piece just on your thoughts on that I think any comment on that so actually multi clouds become something much more recent in the last six to eight months I'd say we always kind of had a very much an attitude of like moving to Amazon from our private cloud is hard enough why complicate it further but the realities of the business and as we start seeing you know improvements in Google and Asia and different technology spaces the need for multi cloud becomes much more important as well as our acquisition strategies I matured we're seeing that companies that used to be on premise that we typically acquire are now very much already on a cloud and if they're on a cloud I need to plug them into our ecosystem and so that's really change our multi cloud story in a big way I'd love to get your thoughts on the clouds versus the clouds because you know you compare them Amazon's got more features they're rich with features I see the bills are hiking people using them but Google's got a great network he googles networks pretty damn good and then you got Asher what's the difference between the clouds who where they evolve something where they peak in certain areas better than others what what are the characteristics which makes one cloud better do they have a unique feature that makes as you're better than Google and vice versa what do you guys think about the different clouds yeah to my experience I think there is the approach is different in many places Google has a different approach very DevOps friendly and you can run your workload like the your network can span regions time I mean but our application ready to accept that MS one is evolving I mean I remember 10 years back Amazon's Network was a flat network we will be launching servers and 10.0.0.0 so so the VP sees concept came out multi-account came out so they are evolving as you are at a late start but because they have a late start they saw the pattern and they they have some mature set up on the I mean I think they're all trying to say they're equal in their own ways I think they all have very specific design philosophies that allow them to be successful in different ways and you have to kind of keep that in mind as you architect your own solution for example Amazon has a very much a very regional affinity they don't like to go cross region in their architecture whereas Google is very much it's a global network we're gonna think about as a global solution I think Google also has a banjo it's third to market and so it has seen what a sure did wrong it's seen what AWS did wrong and it's made those improvements and I think that's one of their big advantage at great scale to Justin thoughts on the cloud so yeah Amazon built from the system up and Google built from the network down so their ideas and approaches are from a global versus or regional I agree with you completely that that is the big number one thing but the if you look at it from the outset interestingly the the inability or the ability for Amazon to limit layer two broadcasting and and what that really means from a VPC perspective changed all the routing protocols you can use all the things that we have built inside of a data center to provide resiliency and and and make things seamless to users all of that disappeared and so because we had to accept that at the VPC level now we have to accept it at the LAN level Google's done a better job of being able to overcome those things and provide those traditional network facilities to us just great panel can go all day here's awesome so I heard we could we'll get to the cloud native naive questions so kind of think about what's not even what's cloud is that next but I got to ask you had a conversation with a friend he's like Wayne is the new land so if you think about what the land was at a datacenter when is the new link you get talking about the cloud impact so that means st when the old st winds kind of changing into the new land how do you guys look at that because if you think about it what lands were for inside a premises was all about networking high speed but now when you take a win and make the essentially a land do you agree with that and how do you view this trend and is it good or bad or is it ugly and what's what you guys take on this yeah i think it's a it's a thing that you have to work with your application architect so if you are managing networks and if you're a sorry engineer you need to work with them to expose the unreliability that would bring in so the application has to hand a lot of this the difference in the latencies and and the reliability has to be worked through the application there land when same concept as that BS I think we've been talking about for a long time the erosion of the edge and so is this is just a continuation of that journey we've been on for the last several years as we get more and more cloud native and we start about API is the ability to lock my data in place and not be able to access it really goes away and so I think this is just continuation that thing I think it has challenges we start talking about weighing scale versus land scale the tooling doesn't work the same the scale of that tooling is much larger and the need to automation is much much higher in a way and than it was in a land that's what you're seeing so much infrastructure as code yeah yeah so for me I'll go back again to this its bandwidth and its latency right that that define those two land versus when but the other thing that comes up more and more with cloud deployments is where is our security boundary and where can I extend this secure aware appliance or set of rules to protect what's inside of it so for us we're able to deliver VRS or route forwarding tables for different segments wherever we're at in the world and so they're they're trusted to talk to each other but if they're gonna go to someplace that's outside of their their network then they have to cross a security boundary and where we enforce policy very heavily so for me there's it's not just land when it's it's how does environment get to environment more importantly that's a great point and security we haven't talked to yet but that's got to be baked in from the beginning that's architecture thoughts on security are you guys are dealing with it yeah start from the base have app to app security built-in have TLS have encryption on the data a transit data at rest but as you bring the application to the cloud and they are going to go multi-cloud talking to over the Internet in some places well have apt web security I mean I mean our principals day security is day zero every day and so we we always build it into our design we want our architecture into our applications its encrypt everything its TLS everywhere it's make sure that that data is secured at all times yeah one of the cool trends at RSA just as a side note was the data in use encryption piece which is a homomorphic stuff was interesting all right guys final question you know we heard on the earlier panel was also trending at reinvent we take the tea out of cloud native it spells cloud naive okay they got shirts now aviatrix kind of got this trend going what does that mean to be naive so if you're to your peers out there watching a live stream and also the suppliers that are trying to supply you guys with technology and services what's naive look like and what's native look like when is someone naive about implementing all this stuff so for me it's because we are in hundred-percent cloud for us it's main thing is ready for the change and you will you will find new building blocks coming in and the network design will evolve and change so don't be naive insane that it's static you wall with the change I think the big naivety that people have is that well I've been doing it this way for 20 years and been successful it's going to be successful in cloud the reality is that's not the case you have to think some of the stuff a little bit differently and you need to think about it early enough so that you can become cloud native and really enable your business on cloud yeah for me it's it's being open minded right the the our industry the network industry as a whole has been very much I am smarter than everybody else and we're gonna tell everybody how it's going to be done and we had we fell into a lull when it came to producing infrastructure and and and so embracing this idea that we can deploy a new solution or a new environment in minutes as opposed to hours or weeks or four months in some cases is really important and and so you know it's not me being closed-minded native being open minded exactly and and it took a for me it was that was a transformative kind of where I was looking to solve problems in a cloud way as opposed to looking to solve problems in this traditional old-school way all right I know we're out of time but I ask one more question so you guys so good it could be a quick answer what's the BS language when you the BS meter goes off when people talk to you about solutions what's the kind of jargon that you hear that's the BS meter going off what are people talking about that in your opinion you here you go that's total B yes but what triggers use it so that I have two lines out of movies that are really I can if I say them without actually thinking them it's like 1.21 jigowatts are you out of your mind from Back to the Future right somebody's giving you all these and then and then Martin Mull and and Michael Keaton and mr. mom when he goes to 22 21 whatever it takes yeah those two right there if those go off in my mind somebody's talking to me I know they're full of baloney so a lot of speech would be a lot of speeds and feeds a lot of data did it instead of talking about what you're actually doing and solutioning for you're talking about well I does this this this and any time I start seeing the cloud vendor start benchmarking against each other it's your workload is your workload you need a benchmark yourself don't don't listen to the marketing on that that's that's all what triggers you and the bsp I think if somebody explains you and not simple they cannot explain you in simplicity then that's good all right guys thanks for the great insight great pen how about a round of applause DX easy solutions integrating company that we service customers from all industry verticals and we're helping them to move to the digital world so as a solutions integrator we interface with many many customers that have many different types of needs and they're on their IT journey to modernize their applications into the cloud so we encounter many different scenarios many different reasons for those migrations all of them seeking to optimize their IT solutions to better enable their business we have our CPS organization it's cloud platform services we support AWS does your Google Alibaba porco will help move those workloads to wherever it's most appropriate no one buys the house for the plumbing equally no one buys the solution for the networking but if the plumbing doesn't work no one likes the house and if this network doesn't work no one likes a solution so network is ubiquitous it is a key component of every solution we do the network connectivity is the lifeblood of any architecture without network connectivity nothing works properly planning and building a scalable robust network that's gonna be able to adapt with the application needs its critical when encountering some network design and talking about speed the deployment aviatrix came up in discussion and we then further pursued an area DHT products that incorporated aviatrix is part of a new offering that we are in the process of developing that really enhances our ability to provide cloud connectivity for the lance cloud connectivity there's a new line of networking services that we're getting into as our clients moving the hybrid cloud networking it is much different than our traditional based services an aviatrix provides a key component in that service before we found aviatrix we were using just native peering connections but there wasn't a way to visualize all those peering connections and with multiple accounts multiple contacts for security with a v8 church we were able to visualize those different peering connections of security groups it helped a lot especially in areas of early deployment scenarios were quickly able to then take those deployment scenarios and turn them into scripts that we can then deploy repeatedly their solutions were designed for work with the cloud native capabilities first and where those cloud native capabilities fall short they then have solution sets that augment those capabilities I was pleasantly surprised number one with the aviatrix team as a whole in their level of engagement with us you know we weren't only buying the product we were buying a team that came on board to help us implement and solution that was really good to work together to learn both what aviatrix had to offer as well as enhancements that we had to bring that aviatrix was able to put into their product and meet our needs even better aviatrix was a joy to find because they really provided us the technology that we needed in order to provide multi cloud connectivity that really added to the functionality that you can't get from the basically providing services we're taking our customers on a journey to simplify and optimize their IT infrastructure baby Atrix certainly has made my job much easier okay welcome back to altitude 2020 for the digital event for the live feed welcome back I'm John fray with the cube with Steve Mulaney CEO aviatrix for the next panel from global system integrators the folks who are building and working with folks on their journey to multi cloud and cloud native networking we've got a great panel George Buckman with dxc and Derek Monahan with wwt welcome to the stage [Applause] [Music] okay you guys are the ones out there advising building and getting down and dirty with multi cloud and cloud native network and we start from the customer panel you can see the diversity of where people come into the journey of cloud it kind of depends upon where you are but the trends are all clear cloud native networking DevOps up and down the stack this has been the main engine what's your guys take of the disk Jerry to multi cloud what do you guys seeing yep yeah it's it's critical I mean we're seeing all of our enterprise customers enter into this they've been through the migrations of the easy stuff you know now they're trying to optimize and get more improvement so now the tough stuffs coming on right and you know they need their data processing near where their data is so that's driving them to a multi cloud environment okay we heard some of the edge stuff I mean you guys are you've seen this movie before but now it's a whole new ballgame what's your take yeah so I'll give you a hint so our practice it's not called the cloud practice it's the multi cloud practice and so if that gives you a hint of how we approach things it's very consultative and so when we look at what the trends are let's look a little year ago about a year ago we were having conversations with customers let's build a data center in the cloud let's put some VP C's let's throw some firewalls with some DNS and other infrastructure out there and let's hope it works this isn't a science project so what we're trying we're starting to see is customers are starting to have more of a vision and we're helping with that consultative nature but it's totally based on the business and you got to start understanding how the lines of business are using the apps and then we evolved into that next journey which is a foundational approach to what are some of the problem statements customers are solving when they come to you what are the top things that are on their my house or the ease of use of Julie all that stuff but what specifically they did digging into yeah some complexity I think when you look at a multi cloud approach in my view is network requirements are complex you know I think they are but I think the approach can be let's simplify that so one thing that we try to do this is how we talk to customers is let's just like you simplify an aviatrix simplifies the automation orchestration of cloud networking we're trying to simplify the design the planning implementation of infrastructure across multiple workloads across multiple platforms and so the way we do it is we sit down we look at not just use cases and not just the questions in common we anticipate we actually build out based on the business and function requirements we build out a strategy and then create a set of documents and guess what we actually build in the lab and that lab that we platform we built proves out this reference architecture actually works absolutely we implement similar concepts I mean we they're proven practices they work great so well George you mentioned that the hard parts now upon us are you referring to networking what is specifically were you getting at Tara says the easy parts done that so for the enterprises themselves migrating their more critical apps or more difficult apps into the environments you know they've just we've just scratched the surface I believe on what enterprises that are doing to move into the cloud to optimize their environments to take advantage of the scale and speed to deployment and to be able to better enable their businesses so they're just now really starting the >> so do you get you guys see what I talked about them in terms of their Cambrian explosion I mean you're both monster system integrators with you know top fortune enterprise customers you know really rely on you for for guidance and consulting and so forth and boy they're networks is that something that you you've seen I mean - does that resonate did you notice a year and a half ago and all of a sudden the importance of cloud for enterprise shoot up yeah I mean we're seeing it okay in our internal environment as you know we're a huge company or as customers are in 30 so we're experiencing that internal okay and every one of our other customers so I I have another question oh but I don't know the answer to this and the lawyer never asks a question that you don't know the answer to but I'm gonna ask it anyway DX c @ w WT massive system integrators why aviatrix yep so great question Steve so I think the way we approach things I think we have a similar vision a similar strategy how you approach things how we approach things that world by technology number one we want to simplify the complexity and so that's your number one priorities let's take the networking but simplify it and I think part of the other point I'm making is we have we see this automation piece as not just an afterthought anymore if you look at what customers care about visibility and automation is probably the at the top three maybe the third on the list and I think that's where we see the value and I think the partnership that we're building and what I what I get excited about is not just putting yours in our lab and showing customers how it works is Co developing a solution with you figuring out hey how can we make this better Bank visibily is a huge thing jump in security alone network everything's around visibility what automation you see happening in terms of progression order of operations if you will it's the low-hanging fruit what are people working on now and what are what are some of the aspirational goals around when you start thinking about multi cloud an automation yep so I wanted to get back to answer that question I want to answer your question you know what led us there and why aviatrix you know in working some large internal IT projects and and looking at how we were going to integrate those solutions you know we like to build everything with recipes where network is probably playing catch-up in the DevOps world but with a DevOps mindset looking to speed to deploy support all those things so when you start building your recipes you take a little of this a little of that and you mix it all together well when you look around you say wow look there's this big bag of athe let me plop that in that solves a big part of my problems that I have to speed to integrate speed to deploy and the operational views that I need to run this so that was 11 years about reference architectures yeah absolutely so you know they came with a full slate of reference architectures already the out there and ready to go that fit our needs so it's very very easy for us to integrate those into our recipes what do you guys think about all the multi vendor interoperability conversations that have been going on choice has been a big part of multi cloud in terms of you know customers want choice didn't you know they'll put a workload in the cloud that works but this notion of choice and interoperability is become a big conversation it is and I think our approach and that's why we talk to customers is let's let's speed and D risk of that decision making process and how do we do that because the interoperability is key you're not just putting it's not just a single vendor we're talking you know many many vendors I mean think about the average number of cloud application as a customer uses a business and enterprise business today you know it's it's above 30 it's it's skyrocketing and so what we do and we look at it from an Billee approach is how do things interoperate we test it out we validate it we build a reference architecture says these are the critical design elements now let's build one with aviatrix and show how this works with aviatrix and I think the the important part there though is the automation piece that we add to it invisibility so I think the visibility is what's what I see lack in cross industry today and the cloud needed that's been a big topic okay in terms of aviatrix as you guys see them coming in there one of the ones that are emerging and the new brands emerging with multi cloud you still got the old guard incumbent with huge footprints how our customers dealing with that that kind of component and dealing with both of them yeah I mean where we have customers that are ingrained with a particular vendor and you know we have partnerships with many vendors so our objective is to provide the solution that meets that client and you they all want multi vendor they all want interoperability correct all right so I got to ask you guys a question what we were defining day to operations what does that mean I mean you guys are looking at the big business and technical components of architecture what does day to Operations mean what's the definition of that yeah so I think from our perspective my experience we you know day to operations whether it's it's not just the you know the orchestration piece and setting up and let it a lot of automate and have some you know change control you're looking at this from a data perspective how do I support this ongoing and make it easy to make changes as we evolve that the the cloud is very dynamic the the nature of how the fast is expanding the number of features is astonishing trying to keep up to date with a number of just networking capabilities and services that are added so I think day to operation starts with a fundable understanding of you know building out supporting a customer's environments and making it the automation piece easy from from you know a distance I think yeah and you know taking that to the next level of being able to enable customers to have catalog items that they can pick and choose hey I need this network connectivity from this cloud location back to this on pram and being able to have that automated and provisioned just simply by ordering it for the folks watching out there guys take a minute to explain as you guys are in the trenches doing a lot of good work what are some of the engagement that you guys get into how does that progress what is the what's what happens there they call you up and say hey I need multi-cloud or you're already in there I mean take us through why how someone can engage to use a global si to come in and make this thing happen what's typical engagement look like yeah so from our perspective we typically have a series of workshops in a methodology that we kind of go along the journey number one we have a foundational approach and I don't mean foundation meaning the network foundation that's a very critical element we got a factor in security we've got to factor in automation so we think about foundation we do a workshop that starts with education a lot of times we'll go in and we'll just educate the customer what does VPC sharing you know what is a private link and asher how does that impact your business you know customers I want to share services out in an ecosystem with other customers and partners well there's many ways to accomplish that so our goal is to you know understand those requirements and then build that strategy with them thoughts Georgia yeah I mean I'm one of the guys that's down in the weeds making things happen so I'm not the guy on the front line interfacing with the customers every day but we have a similar approach you know we have a consulting practice that will go out and and apply their practices to see what those and when do you parachute in yeah and when I've been is I'm on the back end working with our offering development leads for the networking so we understand or seeing what customers are asking for and we're on the back end developing the solutions that integrate with our own offerings as well as enable other customers to just deploy quickly to meet their connectivity needs it so the patterns are similar right final question for you guys I want to ask you to paint a picture of what success looks like and you know the name customers didn't again reveal kind of who they are but what does success look like in multi-cloud as you as you paint a picture for the folks here and watching on the live stream it's someone says hey I want to be multi-cloud I got to have my operations agile I want full DevOps I want programmability security built in from day zero what does success look like yeah I think success looks like this so when you're building out a network the network is a harder thing to change than some other aspects of cloud so what we think is even if you're thinking about that second cloud which we have most of our customers are on to public clouds today they might be dabbling in is you build that network foundation at architecture that takes in consideration where you're going and so once we start building that reference architecture out that shows this is how to sit from a multi-cloud perspective not a single cloud and let's not forget our branches let's not forget our data centers let's not forget how all this connects together because that's how we define multi-cloud it's not just in the cloud it's on Prem and it's off Prem and so collectively I think the key is also is that we provide them an hld you got to start with a high level design that can be tweaked as you go through the journey but you got to give a solid structural foundation and that networking which we think most customers think as not not the network engineers but as an afterthought we want to make that the most critical element before you start the journey Jorge from your seed how do you success look for you so you know it starts out on these journeys often start out people not even thinking about what is gonna happen with what their network needs are when they start their migration journey to the cloud so I want this success to me looks like them being able to end up not worrying about what's happening in the network when they move to the cloud good guys great insight thanks for coming on share and pen I've got a round of applause the global system integrators [Applause] [Music] okay welcome back from the live feed I'm chef for with the q Steve Valenti CEO of aviatrix my co-host our next panel is the aviatrix certified engineer is also known as aces this is the folks that are certified their engineering they're building these new solutions please welcome Toby Foss from informatica Stacy linear from Teradata and Jennifer Reed with Victor Davis to the stage I was just gonna I was just gonna rip you guys see where's your jackets and Jen's got the jacket on okay good love the aviatrix aces pile of gear they're above the clouds story to new heights that's right so guys aviatrix aces love the name I think it's great certified this is all about getting things engineered so there's a level of certification I want to get into that but first take us through the day in the life of an ace and just to point out Stacey's a squad leader so he's like it Squadron Leader Roger and leader yeah Squadron Leader he's got a bunch of aces underneath him but share your perspective day-in-the-life Jennifer we'll start with you sure so I have actually a whole team that works for me both in the in the North America both in the US and in Mexico and so I'm really working to get them certified as well so I can become a squad leader myself but it's important because one of the the critical gaps that we've found is people having the networking background because they're you graduate from college and you have a lot of computer science background you can program you've got Python but networking in packets they just don't get and so just taking them through all the processes that it's really necessary to understand when you're troubleshooting is really critical mm-hm and because you're gonna get an issue where you need to figure out where exactly is that happening on the network you know is my my issue just in the V PC is and on the instant side is a security group or is it going on print and is this something actually embedded within Amazon itself I mean I should troubleshot an issue for about six months going back and forth with Amazon and it was the vgw VPN because they were auto-scaling on two sides and we ended up having to pull out the Cisco's and put in aviatrix so I could just say okay it's fixed and actually actually helped the application teams get to that and get it solved yeah but I'm taking a lot of junior people and getting them through that certification process so they can understand and see the network the way I see the network I mean look I've been doing this for 25 years when I got out when I went in the Marine Corps that's what I did and coming out the network is still the network but people don't get the same training they get they got in the 90s it's just so easy just write some software they work takes care of itself yes he'll be will good I'll come back to that I want to come back to that problem solve with Amazon but Toby I think the only thing I have to add to that is that it's always the network fault as long as I've been in never I've always been the network's fault and I'm even to this day you know it's still the network's fault and part of being a network guy is that you need to prove when it is and when it's not your fault and that means you need to know a little bit about a hundred different things to make that and now you've got a full stack DevOps you got to know a lot more times another 100 and these times are changing yeah they say you're Squadron Leader I get that right what is what is the squadron leader first can you describe what it is I think probably just leading all the network components of it but not they from my perspective when to think about what you ask them was it's about no issues and the escalation soft my day is a good outcome that's a good day it's a good day again every mission the Amazon this brings up a good point you know when you have these new waves come in you have a lot of new things new we use cases a lot of the finger-pointing it's that guys problem that girls problem so what how do you solve that and how do you get the young guns up to speed is there training is that this is where the certification comes in was where the certification is really going to come in I know when we we got together at reinvent one of the the questions that that we had with Steve and the team was what what should our certification look like you know she would just be teaching about what aviatrix troubleshooting brings to bear like what should that be like and I think Toby and I were like no no no that's going a little too high we need to get really low because the the better someone can get at actually understanding what actually happening in the network and and where to actually troubleshoot the problem how to step back each of those processes because without that it's just a big black box and they don't know you know because everything is abstracted in Amazon Internet and Azure and Google is substracted and they have these virtual gateways they have VPNs that you just don't have the logs on it's you just don't know and so then what tools can you put in front of them of where they can look because there are four logs well as long as they turned on the flow logs when they built it you know and there's like each one of those little things that well if they'd had decided to do that when they built it it's there but if you can come in later to really supplement that with training to actual troubleshoot and do a packet capture here as it's going through then teaching them how to read that even yeah Toby we were talking before he came on up on stage about your career you've been networking all your time and then you know you're now mentoring a lot of younger people how is that going because the people who come in fresh they don't have all the old war stories they don't know you talk about yeah that's never fault I walk in Mayr feet in the snow when I was your age I mean it's so easy now right they say what's your take on how you train the young piece so I've noticed two things one is that they are up to speed a lot faster in generalities of networking they can tell you what a network is in high school level now where I didn't learn that too midway through my career and they're learning it faster but they don't necessarily understand why it's that way here you know everybody thinks that it's always slash 24 for a subnet and they don't understand why you can break it down smaller why it's really necessary so the the ramp up speed is much faster for these guys that are coming in but they don't understand why and they need some of that background knowledge to see where it's coming from and why is it important and old guys that's where we thrive Jennifer you mentioned you got in from the Marines health spa when you got into networking how what was it like then and compare it now most like we've heard earlier static versus dynamic don't be static because back then you just said the network you got a perimeter yeah I know there was no such thing yeah no so back in the day I mean I mean we had banyan vines for email and you know we had token ring and I had to set up token ring networks and figure out why that didn't work because how many of things were actually sharing it but then actually just cutting fiber and running fiber cables and dropping them over you know shelters to plug them in and oh crap they swung it too hard and shattered it and how I gotta be great polished this thing and actually shoot like to see if it works I mean that was the network current five cat 5 cables to run an Ethernet you know and then from that just said network switches dumb switches like those were the most common ones you had then actually configuring routers and you know logging into a Cisco router and actually knowing how to configure that and it was funny because I had gone all the way up and was a software product manager for a while so I've gone all the way up the stack and then two and a half three years ago I came across to to work with entity group that became Victor Davis but we went to help one of our customers Avis and it was like okay so we need to fix the network okay I haven't done this in 20 years but all right let's get to it you know because it really fundamentally does not change it's still the network I mean I've had people tell me well you know when we go to containers we will not have to worry about the network and I'm like yeah you don't I do and then with this with and programmability is it really interesting so I think this brings up the certification what are some of the new things that people should be aware of that come in with the aviatrix ace certification what are some of the highlights can you guys share some of the some of the highlights around the certifications I think some of the importance is that it's it doesn't need to be vendor specific for network generality or basic networking knowledge and instead of learning how Cisco does something or how Palo Alto does something we need to understand how and why it works as a basic model and then understand how each vendor has gone about that problem and solved it in a general that's true in multi cloud as well you can't learn how cloud networking works without understanding how AWS integer and GCP are all slightly the same but slightly different and some things work and some things don't I think that's probably the number one take I think having a certification across clouds is really valuable because we heard the global s eyes cover the business issues what does it mean to do that is it code is that networking is the configuration is that aviatrix what is the I mean obviate races the ACE certifications but what is it about the multi cloud that makes it multi networking and multi vendor easy answer is yes so you got to be a general let's go to your hands and all you have to be it takes experience because it's every every cloud vendor has their own certification whether that is ops and [Music] advanced networking and advanced security or whatever it might be yeah they can take the test but they have no idea how to figure out what's wrong with that system and the same thing with any certification but it's really getting your hands in there and actually having to troubleshoot the problems you know actually work the problem you know and calm down it's going to be okay I mean because I don't know how many calls I've been on or even had aviatrix join me on it's like okay so everyone calm down let's figure out what's happening it's like we've looked at that screen three times looking at it again it's not gonna solve that problem right but at the same time you know remaining calm but knowing that it really is I'm getting a packet from here to go over here it's not working so what could be the problem you know and actually stepping them through those scenarios but that's like you only get that by having to do it you know and seeing it and going through it and then I have a question so we you know I just see it we started this program maybe six ago we're seeing a huge amount of interest I mean we're oversubscribed on all the training sessions we've got people flying from around the country even with coronavirus flying to go to Seattle to go to these events were oversubscribed good is that watching leader would put there yeah is that something that you see in your organization's are you recommending that to people do you see I mean I'm just I guess I'm surprised I'm not surprised but I'm really surprised by the demand if you would of this multi-cloud network certification because it really isn't anything like that is that something you guys can comment on or do you see the same things in your organization's I see from my side because we operate in the multi cloud environment so it really helps and it's beneficial for us yeah I think I would add that uh networking guys have always needed to use certifications to prove that they know what they know right it's not good enough to say yeah I know IP addresses or I know how a network works and a couple little check marks or a little letters by your name helps give you validity um so even in our team we can say hey you know we're using these certifications to know that you know enough of the basics and enough of the understandings that you have the tools necessary right so I guess my final question for you guys is why an eighth certification is relevant and then second part is share with the livestream folks who aren't yet a certified or might want to jump in to be AVH or certified engineers why is it important so why is it relevant and why should someone want to be an ace-certified I'm used to write engineer I think my view is a little different I think certification comes from proving that you have the knowledge not proving that you get a certification to get know I mean they're backwards so when you've got the training in the understanding and the you use that to prove and you can like grow your certification list with it versus studying for a test to get a certification and have no understanding of ok so that who is the right person that look at this is saying I'm qualified is it a network engineer is it a DevOps person what's your view you know is it a certain you know I think cloud is really the answer it's the as we talked like the edge is getting eroded so is the network initially eating eroded we're getting more and more of some network some DevOps some security lots and lots of security because network is so involved in so many of them that it's just the next progression I would say I expand that to more automation engineers because we have those nails probably extended as well well I think that the training classes themselves are helpful especially the entry-level ones for people who may be quote-unquote cloud architects but have never done anything and networking for them to understand why we need those things to really work whether or not they go through to eventually get a certification is something different but I really think fundamentally understanding how these things work it makes them a better architect makes some better application developer but even more so as you deploy more of your applications into the cloud really getting an understanding even from our people who have tradition down on Prem networking they can understand how that's going to work in the cloud - well I know we've got just under 30 seconds left but I want to get one more question and just one more for the folks watching that are you maybe younger that don't have that networking training from your experiences each of you can answer why is it should they know about networking what's the benefit what's in it for them motivate them share some insights and why they should go a little bit deeper in networking Stacy we'll start with you we'll go down let's say it's probably fundamental right if you want to deliver solutions networking use the very top I would say if you fundamental of an operating system running on a machine how those machines talk together as a fundamental change is something that starts from the base and work your way up right well I think it's a challenge because you you've come from top-down now you're gonna start looking from bottom-up and you want those different systems to cross communicate and say you built something and you're overlapping IP space not that that doesn't happen but how can I actually make that still operate without having to reappear e-platform it's like those challenges like those younger developers or sis engineers can really start to get their hands around and understand those complexities and bring that forward in their career they got to know the pilot pipes are working and some plumbing that's right works at how to code it that's right awesome thank you guys for great insights ace certain babies you're certified engineers also known as aces give a round of applause thank you okay all right that concludes my portion thank you Steve thanks for have Don thank you very much that was fantastic everybody round of applause for John for you yeah so great event great event I'm not going to take long we've got we've got lunch outside for that for the people here just a couple of things just call to action right so we saw the Aces you know for those of you out on the stream here become a certified right it's great for your career it's great for not knowledge is is fantastic it's not just an aviatrix thing it's gonna teach you about cloud networking multi-cloud networking with a little bit of aviatrix exactly what the cisco CCIE program was for IP network that type of the thing that's number one second thing is is is is learn right so so there's a there's a link up there for the four to join the community again like I started this this is a community this is the kickoff to this community and it's a movement so go to what a v8 community a bh6 comm was starting a community at multi cloud so you know get get trained learn I'd say the next thing is we're doing over a hundred seminars in across the United States and also starting into Europe soon will come out and will actually spend a couple hours and talk about architecture and talk about those beginning things for those of you on the you know on the livestream in here as well you know we're coming to a city near you go to one of those events it's a great way to network with other people that are in the industry as well as start to learn and get on that multi-cloud journey and then I'd say the last thing is you know we haven't talked a lot about what aviatrix does here and that's intentional we want you you know leaving with wanting to know more and schedule get with us in schedule a multi our architecture workshop session so we we sit out with customers and we talk about where they're at in that journey and more important where they're going and to find that end state architecture from networking compute storage everything and everything you heard today every panel kept talking about architecture talking about operations those are the types of things that we saw we help you cook define that canonical architecture that system architecture that's yours so for so many of our customers they have three by five plotted lucid charts architecture drawings and it's the customer name slash aviatrix arc network architecture and they put it on their whiteboard that's what what we and that's the most valuable thing they get from us so this becomes their 20-year network architecture drawing that they don't do anything without talking to us and look at that architecture that's what we do in these multi hour workshop sessions with customers and that's super super powerful so if you're interested definitely call us and let's schedule that with our team so anyway I just want to thank everybody on the livestream thank everybody here hopefully it was it was very useful I think it was and joined the movement and for those of you here join us for lunch and thank you very much [Applause] [Music] [Applause] [Music] you

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Philippe Courtot, Qualys | Qualys Security Conference 2019


 

>>From Las Vegas. It's the cube covering Qualis security conference 2019 you buy quality. >>Hey, welcome back. You're ready. Jeff Frick here with the cube. We're in Las Vegas at the Bellagio, at the quality security conference. It's the 19th year they've been doing this. It's our first year here and we're excited to be here and it's great to have a veteran who's been in this space for so long, to give a little bit more of a historical perspective as to what happened in the past and where we are now and what can we look forward to in the future. So coming right off his keynote is Felipe korto, the chairman and CEO of Qualys. Phillip, great to see you. Thank you. Same, same, same for me. Absolutely. So you touched on so many great, um, topics in your conversation about kind of the shifts of, of, of modern computing from the mainframe to the mini. We've heard it over and over and over, but the key message was really about architecture. If you don't have the right architecture, you can't have the right solution. So how has the evolution of architects of architectures impacted your ability to deliver security solutions for your clients? >>So now that's a very good question. And in fact, you know, what happened is that we started in 1999 with a vision that we could use exactly like a salesforce.com this nascent internet technologies and apply that to security. And uh, so, and mod when you have applied that to essentially changing the way CRM was essentially used and deployed in enterprises and with a fantastic success as we know. So for us, the, I can say today that 19 years later the vision was right. It took a significant longer because the security people are not really, uh, warm at the idea of silently, uh, having the data in their view, which was in place that they could not control. And the it people, they didn't really like at all the fact that suddenly they were not in control anymore of the infrastructure. So we had a lot of resistance. >>I, wherever we always, I always believe, absolutely believe that the, the cloud will be the cloud architecture to go back. A lot of people make the confusion. That was part of the confusion that for people it was a cloud, that kind of magical things someplace would you don't know where. And when I were trying to explain, and I've been saying that so many times that well you need to look at the cloud like compute that can architecture which distribute the competing power far more efficiently than the previous one, which was client server, which was distributing the convening power far better than of course the mainframes and the mini computers. And so if you look at their architectures, so the mainframe were essentially big data centers in uh, in Fort Knox, like settings, uh, private lines of communication to a dump terminal. And of course security was not really issue then because it's security was built in by the IBM's and company. >>Same thing with the mini computer, which then was instead of just providing the computing power to the large, very large company, you could afford it. Nelson and the minicomputer through the advanced in semiconductor technology could reduce a foot Frank. And then they'll bring that computing power to the labs and to the departments. And was then the new era of the digital equipment, the prime, the data general, et cetera. Uh, and then kind of server came in. So what client server did, again, if you look at the architecture, different architecture now silently servers, the land or the internal network and the PC, and that was now allowing to distribute the computing power to the people in the company. And so, but then you needed to, so everybody, nobody paid attention to security because then you were inside of the enterprise. So it started inside the walls of the castle if you prefer. >>So nobody paid attention to that. It was more complex because now you have multiple actors. Instead of having one IBM or one digital equipment, et cetera, suddenly you have the people in manufacturing and the servers, the software, the database, the PCs, and on announcer, suddenly there was the complexity, increasing efficiency, but nobody paid attention to security because it wasn't a needed until suddenly we realized that viruses could come in through the front door being installed innocently. You were absolutely, absolutely compromised. And of course that's the era of the antivirus which came in. And then because of the need to communicate more and more now, Senator, you could not stay only in your castle. You needed to go and communicate to your customers, to your suppliers, et cetera, et cetera. And now he was starting to open up your, your castle to the world and hello so now so that the, the bad guy could come in and start to steal your information. >>And that was the new era of the forward. Now you make sure that those who come in, but of course that was a little bit naive because there were so many other doors and windows, uh, that people could come in, you know, create tunnels and create these and all of that trying to ensure your customers because the data was becoming more and more rich and more, more important or more value. So whenever there is a value, of course the bad guys are coming in to try to sell it. And that was that new era of a willing to pay attention to security. The problem has been is because you have so many different actors, there was nothing really central there that was just selling more and more solutions and no, absolutely like 800 vendors bolting on security, right? And boating on anything is short-lived at the end of the day because you put more and more weight and then you also increase the complexity and all these different solutions you need. >>They need to talk together so you have a better context. Uh, but they want the design to talk together. So now you need to put other system where they could communicate that information. So you complicated and complicated and complicated the solution. And that's the problem of today. So now cloud computing comes in and again, if you look at the architecture of cloud computing, it's again data centers, which is not today I've become thanks to the technology having infinite, almost competing power and storage capabilities. And like the previous that I sent her, the are much more fractured because you just one scale and they become essentially a little bit easier to secure. And by the way, it's your fewer vendors now doing that. And then of course the access can be controlled better. Uh, and then of course the second component is not the land and the one, it's now the internet. >>And the internet of course is the web communications extremely cheap and it brings you an every place on the planet and soon in Morris, why not? So and so. Now the issue today is that still the internet needs to be secure. And today, how are we going to secure the internet? Which is very important thing today because you see today that you can spoof your email, you can spoof your website, uh, you can attack the DNS who, yes, there's a lot of things that the bad guys still do. And in fact, they've said that leverage the internet of course, to access everywhere so they take advantage of it. So now this is obviously, you know, I created the, the trustworthy movement many years ago to try to really address that. Unfortunately, the quality's was too small and it was not really our place today. There's all the Google, the Facebook, the big guys, which in fact their business depend on the internet. >>Now need to do that. And I upload or be diabetic, criticized very much so. Google was the first one to essentially have a big initiative, was trying to push SSL, which everybody understand is secret encryption if you prefer. And to everybody. So they did a fantastic job. They really push it. So now today's society is becoming like, okay, as I said, you want to have, as I said it all in your communication, but that's not enough. And now they are pushing and some people criticize them and I absolutely applaud them to say we need to change the internet protocols which were created at a time when security, you were transferring information from universities and so forth. This was the hay days, you know, of everything was fine. There was no bad guys, you know, the, he'd be days, if you like, of the internet. Everybody was free, everybody was up and fantastic. >>Okay. And now of course, today this protocol needs to be upgraded, which is a lot of work. But today I really believe that if you put Google, Amazon, Facebook altogether, and they can fix these internet protocols. So we could forget about the spoofing and who forgot about all these phishing and all these things. But this is their responsibility. So, and then you have now on the other side, you have now very intelligent devices from in a very simple sensors and you know, to sophisticated devices, the phone, that cetera and not more and more and more devices interconnected and for people to understand what is going. So this is the new environment and whether we always believe is that if you adopt an architecture, which is exactly which fits, which is similar, then we could instead of bolting security in, we can now say that the build security in a voting security on, we could build security in. >>And we have been very proud of the work that we've done with Microsoft, which we announced in fact relatively recently, very recently, that in fact our agent technologies now is bundled in Microsoft. So we have built security with Microsoft in. So from a security perspective today, if you go to the Microsoft as your secretly center, you click on the link and now you have the view of your entire Azure environment. Crazier for quality Sagent. You click on a second link and now you have the view of your significant loss posture, crazy of that same quality. Say Sagent and then you click on the third name with us. Nothing to do with quality. It's all Microsoft. You create your playbook and you remediate. So security in this environment has become click, click, click, nothing to install, nothing to update. And the only thing you bring are your policies saying, I don't want to have this kind of measured machine expose on the internet. >>I want, this is what I want. And you can continuously audit in essentially in real time, right? So as you can see, totally different than putting boxes and boxes and so many things and then having to for you. So very big game changer. So the analogy that I want you that I give to people, it's so people don't understand that paradigm shift is already happening in the way we secure our homes. You put sensors everywhere, you have cameras, you have detection for proximity detection. Essentially when somebody tried to enter your home, all that data is continuously pumped up into an incidence restaurant system. And then from your phone, again across the internet, you can change the temperature of your rooms. You can do what you can see the person who knocks on the door. You can see its face, you can open the door, close the door, the garage door, you can do all of that remotely, another medically. >>And then if there's a burglar then in your house to try to raking immediately the incidents or some system called the cops or the far Marsha difficult fire. And that's the new paradigm. So security has to follow that paradigm. And then you have interesting of the problem today that we see with all the current secretly uh, systems, uh, incidents, response system. They have a lot of false positive, false positive and false negative are the enemy really of security. Because if you are forced visited, you cannot automate the response because then you are going to try to respond to something that is not true. So you are, you could create a lot of damage. And the example I give you that today in the, if you leave your dog in your house and if you don't have the ability, the dog will bark, would move. And then the sensors would say intruder alert. >>So that's becomes a false positive. So how do you eliminate that? By having more context, you can eliminate automatically again, this false positives. Like now you take a fingerprint of your dog and of these voice and now the camera and this and the sensors and the voice can pick up and say, Oh, this is my dog. So then of course you eliminate that for solar, right? Right. Now even if another dog managed to enter your home through a window which was open or whatever for soul, you will know her window was up and but you know you cannot necessarily fix it and the dog opens. Then you will know it's a, it's a, it's not sure about, right? So that's what security is evolving such a huge sea of change, which is happening because of all that internet and today companies today, after leveraging new cloud technology, which are coming, there's so much new technology. >>What people understand is where's that technology coming from? How come silently we have, you know, Dockers netics all these solutions today, which are available at almost no cost because it's all open source. So what happened is that, which is unlike the enterprise software, which were more the Oracle et cetera, the manufacturer of that software today is in fact the cloud public cloud vendors, the Amazon, the Google, the Facebook, the Microsoft. We suddenly needed to have to develop new technology so they could scale at the size of the planet. And then very shrewdly realized that effective that technology for me, I'm essentially going to imprison that technology is not going to evolve. And then I need other technologies that are not developing. So they realized that they totally changed that open source movement, which in the early days of opensource was more controlled by people who had more purity. >>If you prefer no commercial interests, it was all for the good of the civilization and humankind. And they say their licensing model was very complex. So they simplified all of that. And then nothing until you had all this technology coming at you extremely fast. And we have leverage that technology, which was not existing in the early days when when socials.com started with the Linux lamp pour called what's called Linux Apache. My SQL and PHP, a little bit limiting, but now suddenly all this technology, that classic search was coming, we today in our backend, 3 trillion data points on elastic search clusters and we return inflammation in a hundred milliseconds. And then onto the calf cabin, which is again something at open source. We, we, we, and now today 5 million messages a day and on and on and on. So the world is changing and of course, if that's what it's called now, the digital transformation. >>So now enterprises to be essentially agile, to reach out to the customers better and more, they need to embrace the cloud as the way they do, retool their entire it infrastructure. And essentially it's a huge sea of change. And that's what we see even the market of security just to finish, uh, now evolving in a totally different ways than the way it has been, which in the past, the market of security was essentially the market for the enterprise. And I'm bringing you my, my board, my board town solutions that you have to go and install and make work, right? And then you had the, the antivirus essentially, uh, for all the consumers and so forth. So today when we see the marketplace, which is fragmenting in four different segments, which is one is the large enterprise which are going to essentially consolidate those stock, move into the digital transformation, leveraging absolutely dev ops, which isn't becoming the new buyer and of course a soak or they could improve, uh, their it for, to reach out to more customers and more effectively than the cloud providers as I mentioned earlier, which are building security in the, no few use them. >>You don't have to worry about infrastructure, about our mini servers. You need, I mean it is, it's all done for you. And same thing about security, right? The third market is going to be an emergence of a new generation of managed security service providers, which are going to take to all these companies. We don't have enough resources. Okay, don't worry, I'm going to help you, you know, do all that digital transformation. And that if you build a security and then there's a totally new market of all these devices, including the phone, et cetera, which connects and that you essentially want to all these like OT and IOT devices that are all now connected, which of course presents security risk. So you need to also secure them, but you also need to be able to also not only check their edits to make sure that, okay, because you cannot send people anymore. >>So you need to automate the same thing on security. If you find that that phone is compromised, you need to make, to be able to make immediate decisions about should I kill that phone, right? Destroyed everything in it. Should I know don't let that phone connect anymore to my networks. What should I do? Should I, by the way detected that they've downloaded the application, which are not allowed? Because what we see is more and more companies now are giving tablets, do the users. And in doing so now today's the company property. So they could say, okay, you use these tablets and uh, you're not allowed to do this app. So you could check all of that and then automatically remote. But that again requires a full visibility on what you are. And that's why just to finish, we make a big decision about a few, three months ago that we have, we build the ability for any company on the planet to automatically build their entire global HSE inventory, which nobody knows what they have in that old networking environment. >>You don't know what connects to have the view of the known and the unknown, totally free of charge, uh, across on premise and pawn cloud containers, uh, uh, uh, whether vacations, uh, OT and IOT devices to come. So now there's the cornerstone of security. So with that totally free. So, and then of course we have all these additional solutions and we're build a very scalable, uh, up in platform where we can take data in, pass out data as well. So we really need to be and want to be good citizen here because security at the end of the day, it's almost like we used to say like the doctors, you have to have that kind of apricot oath that you cannot do no arm. So if you keep, if you try to take the data that you have, keep it with you, that's absolutely not right because it's the data of your customers, right? >>So, and you have to make sure that it's there. So you have to be a good warning of the data, but you have to make sure that the customer can absolutely take that data to whatever he wants with it, whatever he needs to do. So that's the kind of totally new field as a fee. And finally today there is a new Ash culture change, which is, which is happening now in the companies, is that security has become fronted centers, is becoming now because of GDPR, which has a huge of financial could over you challenge an impact on a company. A data breach can have a huge financial impact. Security has become a board level. More and more social security is changing and now it's almost like companies, if they want to be successful in the future, they need to embrace a culture of security. And now what I used to say, and that was the, the conclusion of my talk is that now, today it DevOps, uh, security compliance, people need to unite. Not anymore. The silos. I do that. This is my, my turf, my servers. You do that, you do this. Everybody in the company can work. I have to work together towards that goal. And the vendors need to also start to inter operate as well and working with our customers. So it's a tall, new mindset, which is happening, but the safes are big. That's what I'm very confident that we're now into that. Finally, we thought, I thought it would have happened 10 years ago, quite frankly. And uh, but now today's already happening. >>She touched on a lot, a lot there. And I'll speak for another two hours if we could. We could go for Tara, but I want to, I want to unpack a couple of things. We've had James Hamilton on you to at AWS. Um, CTO, super smart guy and it was, it was at one of his talks where it really was kind of a splash, a wet water in the face when he talked about the amount of resources Amazon could deploy to just networking or the amount of PhD power he could put on, you know, any little tiny sub segment of their infrastructure platform where you just realize that you just can't, you can't compete, you cannot put those kinds of resources as an individual company in any bucket. So the inevitability of the cloud model is just, it's, it's the only way to leverage those resources. But because of that, how has, how has that helped you guys change your market? How nice is it for you to be able to leverage infrastructure partners? Like is your bill for go to market as well as feature sets? And also, you know, because the other piece they didn't talk about is the integration of all these things. Now they all work together. Most apps are collection of API APIs. That's also changed. So when you look at the cloud provider GCP as well, how does that help you deliver value to your customers? >>Yeah, but the, the, the, the club, they, they don't do everything. You know, today what is interesting is that the clubs would start to specialize themselves more and more. So for example, if you look at Amazon, the, the core value of Amazon since the beginning has been elastic computing. Uh, now today we should look at Microsoft. They leverage their position and they really have come up with a more enterprise friendly solution. And now Google is trying to find also their way today. And so then you have Addy Baba, et cetera. So these are the public cloud, but life is not uniform like is by nature. Divers life wants to leave lunch to find better ways. We see that that's what we have so many different species and it just ended up. So I've also the other phenomena of companies also building their own cloud as well. >>So the word is entering into a more hybrid cloud. And the technology is evolving very fast as well. And again, I was selling you all these open source software. There's a bigger phenomenon at play, which I used to say that people don't really understand that much wood, but it's so obvious is if you look at the printing price, that's another example that gives the printing price essentially allowed, as we all know, to distribute the gospel, which has some advantage of, you know, creating more morality, et cetera. But then what people don't know for the most part, it distributed the treaties of the Arabs on technology, the scientif treaties, because the archives, which were very thriving civilization at the time, I'd collected all the, all the, all the information from India, from many other places and from China and from etc. And essentially at the time all of Europe was pretty in the age they really came up and it now certainty that scientific knowledge was distributed and that was in fact the seeds of the industrial revolution, which then you're up cat coats and use that and creating all these different technologies. >>So that confidence of this dimension of electricity and all of that created the industrial revolution seeded by now, today what is happening is that the internet is the new printing press, which now is distributing the knowledge that not to a few millions of people to billions of people. So the rate today of advancing technology is accelerating and it's very difficult. I was mentioning today, we know today that work and working against some quantum computing which are going to totally change things. Of course we don't know exactly how and you have also it's clear that today we could use genetic, uh, the, the, the, if you look at DNA, which stores so much information, so little place that we could have significant more, you know, uh, memory capabilities that lower costs. So we have embarked into absolutely a new world where things are changing. I've got a little girl, which is 12 years old and fundamentally that new generation, especially of girls, not boys, because the boys are still on, you know, at that age. >>Uh, they are very studious. They absorb so much information via YouTube. They are things like a security stream. They are so knowledgeable. And when you look back at history 2000 years plus ago in Greece, you at 95 plus percent of the population slaves. So a few percent could start to think now, today it's totally changed. And the amount of information they can, they learn. And this absolutely amazing. And you know, she, she's, I would tell you the story which has nothing to do with computing, but as a button, the knowledge of, she came to me the few, few weeks ago and she said, Oh daddy, I would like to make my mother more productive. Okay. So I said, Oh, that's her name is Avia, which is the, which is the, the, the either Greece or Zeus weathered here. And so I say, Evie, I, so that's a good idea. >>So how are you going to do it? I mean, our answer, I was flawed, but that is very simple. Just like with, for me, I'm going to ask her to go to YouTube to learn what she needs to learn. Exactly. And she learns, she draws very well. She learns how to draw in YouTube and it's not a gifted, she's a nice, very nice little girl and very small, but all her friends are like that. Right? So we're entering in a word, which thing are changing very, very fast. So the key is adaptation, education and democracy and democratization. Getting more people access to more. Absolutely. It's very, very important. And then kind of this whole dev ops continuous improve that. Not big. That's a very good point that you make because that's exactly today the new buyer today in security and in it is becoming the DevOps shipper. >>Because what? What are these people? There are engineers which suddenly create good code and then they want to of course ship their code and then all these old silos or you need to do these, Oh no, we need to put the new server, we don't have the capacity, et cetera. How is that going to take three months or a month? And then finally they find a way through, again, you know, all the need for scale, which was coming from the Google, from the Facebook and so forth. And by the way, we can shortcut all of that and we can create and we can run out to auto-ship, our code. Guess what are they doing today? They are learning how to secure all of that, right? So again, it's that ability to really learn and move. And today, uh, one of the problem that you alluded to is that, which the Amazon was saying is that their pick there, they have taken a lot of the talent resources in the U S today because of course they pay them extra to me, what? >>Of course they'll attract that talent. And of course there's now people send security. There's not enough people that even in, but guess what? We realized that few years ago in 2007, we'll make a big decision who say, well, never going to be able to attract the right people in the Silicon Valley. And we've started to go to India and we have now 750 people. And Jack Welch used to say, we went to India for the cost and discover the talent. We went to India for the talent and we discover the cost. And there is a huge pool of tenants. So it's like a life wants to continue to leave and now to, there are all these tools to learn, are there, look at the can Academy, which today if you want to go in nuclear physics, you can do that through your phone. So that ability to learn is there. So I think we need just more and more people are coming. So I'm a very optimistic in a way because I think the more we improve our technologies that we look at the progress we're making genetics and so everywhere and that confidence of technology is really creating a new way. >>You know, there's a lot of conversations about a dystopian future and a utopian future with all these technologies and the machines. And you know what? Hollywood has shown us with AI, you're very utopian side, very optimistic on that equation. What gives you, what gives you, you know, kind of that positive feeling insecurity, which traditionally a lot of people would say is just whack a mole. And we're always trying to chase the bad guys. Generally >>speaking, if I'm a topian in in a way. But on the other end, you'd need to realize that unfortunately when you have to technological changes and so forth, it's also create factors. And when you look at this story in Manatee, the same technological advancement that some countries to take to try to take advantage of fathers is not that the word is everything fine and everything peaceful. In fact, Richard Clark was really their kid always saying that, Hey, you know that there is a sinister side to all the internet and so forth. But that's the human evolution. So I believe that we are getting longterm. It's going to. So in the meantime there's a lot of changes and humans don't adapt well to change. And so that's in a way, uh, the big challenge we have. But I think over time we can create a culture of change and that will really help. And I also believe that probably at some point in time we will re-engineer the human race. >>All right, cool. We'll leave it there. That's going to launch a whole nother couple hours. They leave. Congratulations on the event and a great job on your keynote. Thanks for taking a few minutes with us. Alrighty. It's relief. I'm Jeff. You're watching the cube where the Qualice security conference at the Bellagio in Las Vegas. Thanks for watching. We'll see you next time.

Published Date : Dec 2 2019

SUMMARY :

conference 2019 you buy quality. So you touched on so many great, And in fact, you know, what happened is that we started in 1999 And so if you look at their architectures, so the mainframe were essentially big data centers in So it started inside the walls of the castle if you prefer. And of course that's the era short-lived at the end of the day because you put more and more weight and then you also increase And like the previous that I sent her, the are much more fractured because you just one scale And the internet of course is the web communications extremely cheap and it There was no bad guys, you know, the, he'd be days, if you like, and then you have now on the other side, you have now very intelligent devices from in a very simple And the only thing you bring are your policies saying, And you can continuously audit in essentially in real time, And the example I give you that today in the, So then of course you eliminate that for solar, right? you know, Dockers netics all these solutions today, which are available at And then nothing until you had all this technology coming at you extremely And then you had the, And that if you build a security So you need to automate the same thing on security. it's almost like we used to say like the doctors, you have to have that kind of apricot oath So you have to be a good warning of the data, And also, you know, because the other piece they didn't talk about is the integration of And so then you have Addy Baba, And again, I was selling you all these open source software. because the boys are still on, you know, at that age. And when you look back at So how are you going to do it? and then they want to of course ship their code and then all these old silos or you need to do in nuclear physics, you can do that through your phone. And you know what? And when you We'll see you next time.

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Matt “Kix” Kixmoeller, Pure Storage | Pure Accelerate 2019


 

>> Announcer: From Austin, Texas, it's theCUBE, covering Pure Storage Accelerate 2019, brought to you by Pure Storage. (air whooshes) >> Welcome to theCUBE's day two coverage of Pure Accelerate 2019 from Austin, Texas. I am Lisa Martin, Dave Vellante is my co-host, and we're pleased to welcome back to theCUBE, here is VP of Strategy Matt Kixmoeller. Kix, welcome back! >> Thank you very much, happy to be here. >> This has been a, being shot out of a cannon. Yesterday and today, lots of news. First of all, happy 10th anniversary to you and Pure. >> Thank you very much, yeah. >> Tremendous amount of innovation, as Tara Lee said yesterday, overnight in 10 years. (laughs) >> It's a really fun time at Pure. Just something about the nostalgia of 10 years gets people, naturally, to start thinking about what the next 10 years are about. And so, there's just a lot of that spirit right now at the company, so it's almost like people are really charging into the second chapter with a lot of energy, so that's cool. >> A lot of energy, I think, all fueled by this massive sea of orange that has descended on Austin. >> Absolutely. >> So, four announcements yesterday. Let's start with Cloud Block Store, what you guys are doing with AWS, and kind of this vision of Pure's cloud strategy. >> Yeah, look, the cloud discussions I've had with customers here at the show have been awesome. And I think more than anything, people have realized that we've really built something very unique with Cloud Block Store, something that doesn't exist anywhere else in the industry right now. And, you know, if you look at kind of other storage vendors over the time, people have certainly taken their storage OSes and put them in the cloud kind of as a test-dev experiment, a way to try things out, but never really thinking, "I want to build something "that runs tier-one applications." And that was our goal from day one. We looked at the Amazon platform and said, they really built EBS, their block offering, as kind of a way to beat boot VMs, but it was really never meant for a way to run mission-critical applications. So they've been very open in partnering with us to say, look, let's bring this capability onto the platform. And we really rearchitected our Purity Operating Environment, and so, the whole lower half of that is really optimized for the AWS services to help customers move tier-one apps to the cloud. >> Was that joint engineering, or was it really mostly Pure doing that work? >> You know, it was Pure engineering in the sense that we wrote the code, but there was a lot of co-architecture work with AWS so we could fundamentally understand the basics of all of their services and how to optimize for it. And one of the big realizations and choices that came out of that was not to base the storage layer of this on EBS, but instead to base it on S3. And if you look at your average cloud customer, they really use S3 as the storage basis for the apps they build on Amazon, and so, S3 is the 11-nines durable storage platform there. And so our whole goal here was, how do you use S3, but still deliver the level of performance you'd expect out of a tier-one block environment? >> Well, when you read the sort of cloud storage press release du jour, you can't really get into the nuance, but if I understand it correctly, you guys essentially have architected, using AWS services, a new class of block storage that runs on AWS, but looks like Pure. >> That's exactly it. >> So you're essentially front-ending cheap S3 storage with high-priority EC2s, you've got some mirroring for rights to give it high availability, and again, it looks like Pure. >> Kix: Yep. >> So you win, 'cause you're making money on the software, (laughs) AWS is selling services, and the customer has a Pure experience. Did we get that right? >> Yeah, and I think the combination, the one-two punch, that's been very interesting for customers is not only what we're doing with Cloud Block Store, but the new Pure as-a-Service offering. And so, Pure as-a-Service is our as-a-service consumption mechanism that allows you to essentially subscribe to or rent Pure arrays from Pure in your data center, but it's a license that can go between on-prem and cloud. And so, imagine you're a customer that is mostly on-prem today, but you have that mandate, "I've got to get to the cloud." You might need more storage, but the last thing you want to do is commit to another three- or five-year purchase of a storage array that just puts off that cloud journey that much longer. So a customer can subscribe to Pure as-a-Service, they'll maybe subscribe to 100 terabytes, and we put an array in their data center right now, but a year from now, they decide they're going to move 50 terabytes to Cloud Block Store in Amazon, that's just a transparent movement, they're already licensed for it. And so that-- >> And there's already, oh, sorry, sorry. >> Kix: No, go ahead. >> There's already customers that are in beta with Cloud Block Store, is that correct? >> Correct, yeah. >> Lisa: Any interesting insights that you can share without giving away secret sauce? >> Oh, absolutely. You know, I think the thing that pleased us the most about the beta was really the divergence of use cases. You know, we created this, but there's always, you create something, and you don't know what people are going to do with it, right? And so, we have this goal of going after tier-one apps. Obviously, there's a lot of people that are just focused on migration, "How do I get the tier-one app from on-prem to cloud?" And so that was what I would say would be the dominant use case. But there were a lot of interested in test-dev type use cases. And really interesting, I think we saw it in both directions. So we saw some customers who wanted to develop their app in the cloud, but then deploy on-prem. We saw the opposite, we saw people that wanted to develop on-prem but then deploy in the scalable infrastructure in the cloud. And so I thought that was quite interesting. >> How much of the impetus to do that offering was hardcore customer demand, "We need this," versus, "Hey, we need to embrace the cloud "and make it a tailwind and not be defensive about it"? >> You know, I think when we looked at what was going to be the buy-in criteria for the storage array of tomorrow, fundamentally, this is it, right? People want on-prem infrastructure that's connected to the cloud and provides them a roadmap or a bridge to the cloud. And I think we've seen a big change in mindset over even the last couple years. I'd say two or three years ago, the mindset from customers was, "I'm all in on cloud." I think we've seen that soften, where they've realized that the cloud is not a panacea, it's usually actually not cheaper or faster, but it is more agile, it is more flexible, and so, a combination of on-prem and cloud is the right answer. And so, what does that mean from a storage platform? Storage is the hard part. And so, I then need a storage architecture that can support both on-prem and cloud and drive commonality, as opposed to having it be totally different architecture. >> Was Outposts at all a catalyst in your thinking on this, or was this happening way before you even saw that? >> No, we started this effort before that, but I think Outposts is a good example, I believe, of how Amazon is just getting serious about saying, look, we can't ask everybody to rearchitect every application for web scale. There are certain apps that it won't make sense to rearchitect. How do we bring those to the cloud in an efficient way? And those are really the types of applications and the first-generation Cloud Block Store is perfect for. You connect your existing on-prem app, move it to the cloud without changing it, and then maybe slowly you rearchitect parts of the application, you evolve it over time, but that's not a gate to going to the cloud anymore. >> I like the way you said it, you thought about what storage is going to look like in the next 10 years. And we've said this a lot, it's the cloud experience, bringing that cloud experience to your data is what storage is going to look like, you know, wherever it lives, is going to look like in the next 10 years. >> Absolutely, and I think the other real mindset shift I think we've seen is how people are thinking about truly running their on-prem environment more like a service. You know, if you look at, the key message that we had at the show here was really the Modern Data Experience, and defining for customers what that meant. And in a lot of ways, I've been in the storage industry for a little while, I think back, 20 years ago, the buzzword was utility storage. I think one of our competitors had that as their slogan sometime in the '90s. >> Yeah, right. >> And the reality, though, is when you talk to most storage teams, they just never did that. They still ran a bunch of arrays on a project-by-project basis, and it didn't look at all like the cloud. And so, now people have learned the lessons from the public cloud and said, "We really need to apply those on-prem "to truly bring our infrastructure together "into much more of a virtual pool, "truly deliver it on demand, abstract consumption "from the back-end infrastructure to give flexibility." And so, that's really what we're trying to deliver with the Modern Storage Experience, is to say, look, let's get out of the world of array-by-array management. If a customer buys 50 or 100 of our arrays, how do they take that pool of arrays and turn it into a block service, turn it into a file service, turn it into an object service for their customers, with real abstractions and real APIs for those services that have nothing to do with the back-end infrastructure? >> Dave: Mm-hm. >> When Charlie talked yesterday, Kix, about the Modern Data Experience, the three S's pop up. >> Kix: Yeah. (clears throat) >> Simple, seamless, sustainable. But as IT is getting more and more complex, and customers are in a multi-cloud environment, not necessarily from a strategic perspective, right, acquisition, et cetera, how does Pure actually take that word, simple, from a marketing concept into reality for your customers? >> Yeah, you know, I think simple is the most underappreciated but biggest differentiator (coughs) that Pure has. I was recalling for someone, you talked to Coz earlier today. I had a conversation about three weeks into the existence of Pure, (coughs) excuse me, with Coz, and we were just debating, I mean, this is before we wrote any code at all, about, what would be Pure's long-term differentiator? And I was kind of like, "Ah, we'll be the flash people, or high-performance, or whatever," and he's like, "No, no, no, we're going to be simple. "We are going to deliver a culture that drives "simplicity into our products, "and that'll be game-changing." And I thought he was a little crazy at the time, but he's absolutely turned out to be right. And if you look over the years, that started with just an appliance experience, a 10-card install, just a really easy environment. But that's manifested itself into every product we create. And it's really hard to reverse-engineer that. It's an engineering discipline thing that you have to build into the DNA of the company. >> Yeah, he kind of shared that with us, Lisa. He was basically, my words, saying, you don't ever want to suboptimize simple to get a little knob turn on performance, because you'll be turning knobs your entire career. There's a lot of storage arrays out there that, it's all about turning the knobs. >> Kix: Yeah, well-- >> If you can't fix it, you feature it. >> Oh, and if you think about really trying to automate something, it's really hard to automate complex stuff. If something's simple, if it's consistent, it plugs into an automation framework. >> You talked about "get your 10X"-- >> Kix: Yeah. >> I think, is that what you said? And an entrepreneur who was very successful once told me, "I look for two things, a large market and a 10X impact." >> Yep. >> So, what is your 10X? >> You know, we have two 10Xs at the show this year. So first was really kind of a 10-year jump in performance. When we first entered, people were used to 10-millisecond latency from disk, and we introduced them to one-millisecond latency. Now, with the shipping in direct memory and bringing SCM into the architecture, we can do 100 microseconds. That's another 10X. And so, it's hard to ignore that. >> Lisa: That's game-changing, as you said yesterday. >> (coughs) Exactly. The other is really around our next product, FlashArray C, which brings flash to tier-two data. And there, it's all about consolidation. Most people have not used flash to fix tier one, but their biggest problem now is tier two. They have less-important applications, but because they haven't optimized that, it's taking up way too much of IT time. And so, FlashArray C is, "How do I go "and basically consolidate 10X consolidation "at that tier-two level to really bring "sanity to tier-two storage?" >> And you've got NAM pricing, we talked to Charlie about this, that it ultimately should be a tailwind for you guys as NAM pricing comes down, as NOR fab capacity's coming online in China to go after the thumb drives, right, so that's going to leave the enterprise for all the traditional flash guys that we know and love. So that should open up new markets for you. Today, if you look at pricing for flash C class storage, if I got it right, I'm guessing $1, $1.50 a gigabyte. You see hybrid still at probably half that, 65, 70 cents. Do you see that compressing over the next, let's call it 18, 24 months? >> Absolutely, I mean, what we can do with this product is really bring out flash at disk prices. And so, if you think about the difference, I mean, what we now have in the product line is two platforms, FlashArray X, optimized for performance, at hundreds of microseconds of latency, but C, at a little bit slower performance, still in the millisecond range, can really get down now to those disk prices you just mentioned. And so, it fundamentally gives customers the chance to ask, "Can I really now eliminate disk from the data center?" You know, as I said in my keynote, that the slogan from Pure from day one has been "the all-flash data center." And 10 years ago, people didn't believe it. We were maybe leaning over our skis a little bit in doing that. It now really feels possible to go and have the all-flash data center. >> Well, I'll tell you, we believed it. David Floyer picked up on it early on, and he was-- >> Kix: Yeah. >> He was actually probably too aggressive with (laughs) his forecast. We missed the NAND supply constraints. >> Kix: Yeah. >> But now that seems to be loosening up. >> Well, and, look, one of the things that really helps us build the perfect product around QLC is the work we've done to integrate with raw flash. We cannot just use QLC, but we can use it really efficiently, and the challenge there is to make it reliable. It's inherently a less-reliable flash. And so, that's what we're good at, taking things that are less reliable and making them enterprise-grade. >> And your custom flash modules allow that? >> Yeah. >> Can you add some color to that? >> Basically, what we do is we source raw NANDs, put it in our system, but then do all the work in software to manage the flash. And so, when you have a less-reliable flash medium like QLC, generally, what you have to do is add more flash to overprovision and be careful writing to it. And so, when do it globally, we don't do it inside every SSD, we can do it across the whole system, which makes the whole thing more efficient, thus allowing us to drive costs down even more. >> Hm. >> One of the things that we have heard over the last day and a half from customers, even those that were onstage yesterday, those that were on theCUBE yesterday and those that will come on today, is, they talk about the customer experience. They don't talk about FlashBlade, FlashArray, they're not talking about product names. They're talking about maybe workloads that they're running on there. But the interesting thing is, when we go to some other shows, you hear a lot of names of boxes. >> Kix: Yep. >> We haven't heard that. Talk to me a little bit about how Pure has evolved and really maybe even created this customer experience that's focused on simplicity, on outcomes, that is, in your perspective, why people aren't talking about the specific technologies-- >> Kix: Yeah. >> But rather, this single pane of glass that they have. >> Look, when we started the company, I obviously talked to a lot of customers, and I found, in general, there was frustration with products, but they also just generally didn't like their storage company. And so, from day one, we said, how do we reinvent the experience? Of course, we have to build a better product, and we can use flash as kind of an excuse to do that, but we also want to work on the business model of storage, and we also want to work on the customer experience, the support experience, the just 360 view of how you deal with a vendor. And so, from day one, we've been very disciplined about all of that. Going all-flash was a key part of the product. Evergreen has probably been our quintessential investment in just, how do you change that buying cycle? And so, you can buy into an experience and nondisrupt the way they evolve, versus replace your storage array every three to five years. And then, I think the overall customer experience just comes from the culture of the company, right? Everybody at Pure is centered on making customers happy, doing the right thing, being a vendor that you actually want to work with. And that's not something you can really legislate, that's not something you can put rules around, it's just the culture at Pure. >> When we talked about Evergreen yesterday with a number of customers, including Formula 1. I said, "You know, as a marketer, "how much of that nondisruptive operations, "take me from marketing to reality," and all of them articulated the exact value prop that you guys talk about. It was really remarkable. And another customer that we talked to, I think from a legal firm here in the U.S., didn't even do a POC, talked to a peer of his at another company that was a Pure fan-- >> Kix: Yep. >> And (snaps fingers) bought it right on the spot. So the validation that you're getting from the voice of the customer is pretty remarkable. >> Yeah, this is our number one asset, right? And I mean, so when we think about, how do we spread the religion of Pure, it's just all about giving voice to our customers, so they can share their stories. 'Cause that's so much more credible than anything we say, obviously, as a vendor. >> You're one of only two billion-dollar independent storage companies, which, we love independent storage companies, 'cause, you know, the competition's great. How far out do you look and do you think about being an independent storage company? You've seen, as a "somewhat" historian of the industry, you've seen TAM expansion, you guys are working hard on TAM expansion now, new workloads. You got backup stuff goin' on. You got the cloud as an opportunity, multi-cloud as an opportunity. So you got some runway there. >> Yeah. >> Beyond that, you've seen companies try to vertically integrate, buy backup software companies, you know, a converged infrastructure, whatever it is. How far out do you think about it from a business model standpoint? Or do you not worry about that? >> You know, look, to put it in context a little bit, you look at the latest IDC numbers, we're maybe one-third in to the transition to flash, right? The world still buys two-thirds disk, one-third flash. That's a huge opportunity. We're now five or six globally in storage. That's a few spots that we have to go, right? And so, we're not at all market-share limited, or opportunity limited, even within the storage industry, so we could make a much, much larger company. And so, that's mission number one at Pure. But when we think beyond that, that's just a launching point. And so, you've seen us do some stuff here at the show where we're getting into different types of storage. The first obvious expansion is, let's make sure anything that is a storage product comes from Pure, and there's obvious categories we don't play in today. You saw us introduce a new product around VM Analytics Pro, where we're reaching up the stack and adding real value at the VM tier, taking our Meta AI technology and using to give VM-level optimization recommendations. And so, yeah, I think we increasingly understand that IT's a full-stack game, and so storage is maybe the hardest part of the stack, and that gives us a great base to work from, but we don't constrain our engineers to say, you can only solve storage problems. >> Geography's another upside for you. I mean, most of your business, the vast majority of your business, is in the U.S., whereas you take a company like some of these other ones around here, more than half their business is outside the U.S, so. >> Yeah, no, our international businesses, we've been international five or six years now, and it felt like the first couple years are investment years, and it took time. But we're really starting to see them grow and take hold, and so, it's great to see the international business grow. And I think Pure as a company is also learning to really think internationally, not just because we want the opportunity, but the largest customers in the world that we now deal with have international operations, and they want to deal with one Pure globally. >> So when you're talking, and maybe this has even happened the last day and a half, with a prospective customer who is still investing a lot on-prem, still not yet gone the route of flash, as you were saying, those numbers speak for themselves. What do you say to them? >> If they're not on flash yet? >> Lisa: Yeah, yeah, to show them the benefits. I mean, what's that conversation like? >> It's rare, to be honest, now to find customers who haven't started with flash. But I think the biggest thing I try to encourage folks is that flash is not just about performance. And when I look at the history of people who have embraced Pure, they usually start with some performance need, but very quickly, they realize it's all about simplicity, it's all about efficiency. And if they can make storage fundamentally simpler and more efficient, they free up dollars to put towards innovation. And we unlock the ability to drive dollars towards innovation, and then we drive storage to the new innovation projects, like analytics, like AI, et cetera. And so, we just try to talk about that broader opportunity. And I think that's the hardest thing for people to grasp, because the IT history has always been lots of ROI pitches that say, "Hey, this thing costs a lot, but trust me, "you'll make it up in all these other benefits," that no one believes. And so, you just have to get them to taste it to begin with, and when they see it for themselves, that's when it clicks and they start to really understand the ROI around that. >> Well, congratulations on 10 years of Pure unlocking innovation, not just internally, but externally across the globe. We appreciate your time, Kix. >> Thank you, we're looking forward to the next 10 years. >> All right, to the next 10! For Dave Vellante, I'm Lisa Martin. You're watching theCUBE from Pure Accelerate 2019. (upbeat music)

Published Date : Sep 18 2019

SUMMARY :

brought to you by Pure Storage. Welcome to theCUBE's to you and Pure. Tremendous amount of innovation, And so, there's just a lot of that spirit sea of orange that has descended what you guys are doing with AWS, of that is really optimized for the AWS services And if you look at your average cloud customer, but if I understand it correctly, you guys essentially front-ending cheap S3 storage with high-priority EC2s, and the customer has a Pure experience. consumption mechanism that allows you to essentially And there's already, And so that was what I would say And I think we've seen a big change in mindset parts of the application, you evolve it over time, I like the way you said it, you thought about at the show here was really the Modern Data Experience, And the reality, though, is when you talk to most about the Modern Data Experience, the three S's and customers are in a multi-cloud environment, And if you look over the years, Yeah, he kind of shared that with us, Lisa. If you can't fix it, Oh, and if you think about really trying is that what you said? And so, it's hard to ignore that. as you said yesterday. "at that tier-two level to really bring for all the traditional flash guys that we know and love. And so, it fundamentally gives customers the chance to ask, and he was-- We missed the NAND supply constraints. to be loosening up. And so, that's what we're good at, And so, when you have a less-reliable flash medium like QLC, that we have heard over the last day and a half talking about the specific technologies-- But rather, And so, you can buy into an experience And another customer that we talked to, So the validation that you're getting And I mean, so when we think about, You got the cloud as an opportunity, How far out do you think about it and so storage is maybe the hardest part of the stack, the vast majority of your business, is in the U.S., and so, it's great to see the international business grow. the last day and a half, with a prospective customer to show them the benefits. And I think that's the hardest thing for people to grasp, but externally across the globe. All right, to the next 10!

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Tara Vaishnav, The Clorox Company | Mayfield People First Network


 

>> Announcer: From Sand Hill Road in the heart of Silicon Valley, it's "theCUBE," presenting the People First Network, insights from entrepreneurs and tech leaders. (upbeat electronic music) >> Hi, everyone, welcome to this special "CUBE" conversation. I'm John Furrier, co-host of "theCUBE" and co-founder of SiliconANGLE Media. We are on Sand Hill Road at Mayfield Fund, the venture capitalist funding startups. We're here with Tara Vaishnav, who is the vice president of technology, innovation, and advanced analytics at The Clorox Company, as part of the People First Network co-creation of content with SiliconANGLE and Mayfield. Tara, welcome. >> Well, thank you very much for having me! And congratulations to Mayfield on 50 amazing years, wow! >> 50 years they have been in Sand Hill Road, they've been investing in some great startups. They really have a great philosophy about people first. >> Yep. >> And you've had a very distinguished career in technology, IT, in big companies. Long tenures, too, like, you know, decades. >> Yes, oh, yes. >> And now at Clorox, a consumer company. So talk about your journey, where your experience is, where you started, tell us about your background. >> Yeah, well, I grew up in India, if it's not obvious already. I came to the United States after I finished my undergrad in India, I had an undergrad in electrical engineering. Came over here, got my electrical engineering master's at the University of Southern California, go Trojans. And after that, I worked for several companies, but mostly in health care and life sciences. So the past four years, I have been the vice president of IT at The Clorox Company, which is a CPG company, so quite a bit of a learning curve there. >> Health care, serving patients, now you're serving consumers. >> That's right, that's right. >> Clorox is well-known for their analytics, well-known for technology, innovation. >> Tara: Yes, yeah. >> I've interviewed a bunch of folks at Clorox, they've always been at the head of the curve. >> Tara: Yeah. >> Like Procter & Gamble, you guys, consumer companies have to be. >> Tara: Definitely. >> Now, more than ever, digital disruption is an opportunity for companies to have a better relationship with their customers. >> Tara: Absolutely. >> And changes the makeup of their brand as well, since it touches the customer. How do you see that evolving? What's the current state of the art of some of the things you're working on? >> Yeah, it's pretty fascinating, actually. And I hate to use cliches, but things like consumer experience is really at the heart of it. We're a brand company, at the end of the day, and how people feel about us is really, really important. It's not so much, it is about the products, and we make amazing products, but how do they feel about us as a company, and how do they engage with us differently than they did before? We do not buy the same way as we did even five years ago. And so, learning that, learning the new, evolving consumer, and getting really close to what's important to them, that's really on the forefront of how we think about our digital transformation. >> One of the cool things that's great about the People First Network that we've been doing-- >> Tara: Yeah. >> This content, is that we have a lot of luminaries who have had a storied career, like yourself, have looked at the changes and the waves of innovation that have come before, and now, more than ever, omnichannel, how you advertise and reach customers, how they interact, how they buy and consume. When you look at health care and some of the things you've been involved in, in the '90s, remember, client-server was big, they had computers. >> Tara: (laughs) Oh, yes. Oh, yeah. >> IT has changed a lot. >> It has. >> What is the most striking thing that you see from those changes in this new wave that we're living now? >> You know, so, (sharply exhales) I was fortunate in that I decided that data was where it was at, right from the beginning of my career. That's how I kind of made my way up my career ladder, is really that focus on data. I had a software engineering background, but really felt the power of data to change things. What has happened, if I think about some of the big changes, or the key milestones, if you will, in my career, one of the first real big changes came about when data, which was up until that point really sort of coming along for the ride, you had applications, applications had data, when data actually became the mainstay and the applications kind of came and went. I remember one of my mentors in the past, a past CIO, actually, telling me that applications come and go, but data is forever. And when that really started to become a thing was when big data and big data technologies became, came of enterprise age, if you will, along with cloud technologies. That marriage really, that was, I think, the tipping point where the things that you could do with data and the way that you could get insights from data really took on a life of its own, if you will. >> You know, one of the things, that's a great point. I'd love to get your insights as a leader and as you grew with data, because it wasn't really obvious at that time. Certainly, people had databases and that, the big data, the applications had data. >> Tara: Sure, sure, yeah. >> But it was always kind of old-school data. "Hey, get some data, let's look at the demographics, "let's look at the Consumer Price Index," blah, blah, blah, all kinds of data. But access to data became driven by the database. >> Tara: Correct. >> So there might've been data available-- >> Tara: Yeah. >> But getting it in the hands of the practitioners even now is hard, but even back then, you might not have had the data. So as a leader who's sought data-- >> Tara: Yeah. >> As a strategic advantage. By the way, that's rare early, isn't it? So, (laughs) awesome for you. >> You know, I got lucky. >> How did you get through that? How did you lead the organization to make data at the center of things? >> It is a very good question. There were a few things that started to take shape once big data and the marriage of the cloud started to happen. It started to open up doors, break down organizational silos. When you brought that data together, the business value, or the potential business value that could be unlocked, became obvious. The way that we approached it, though, under my leadership, I always believe in small steps. I believe in leapfrog, but I believe that you have to feed innovation or innovative thinking out in small doses. People are not always ready to consume it in one big (laughs) fell swoop, if you will. So doing things incrementally, but with an idea towards transformation, was, I think, the secret sauce that I used to approach these things. So as a couple of examples, in Kaiser Permanente, when I worked there for almost seven years, I was instrumental in bringing their big data platform to life. But it was not just a matter of, "Here's the technology "for technology's sake." It was a matter of, "Here are some real problems "that we are having a lot of difficulty in solving today. "Let's show you how we can solve those differently "in an amazing way." And we proved that. It was an experiment, that we proved that, and that really started to get us those adopters, if you will. >> John: So take baby steps. >> Yep. >> Don't try to do wholesale changes hardcore. >> Correct, correct. >> Let people get used to it. >> Yeah. >> This must've had an impact on culture. >> Yes, yes. >> And this comes up a lot in the DevOps culture we've seen in the past decade, even now. >> Yeah. >> Getting people to change has become very difficult. >> Yes! >> John: We all know that person-- >> Yes. >> Has their project that's their baby, adding features, "No, don't take my "baby away from me." >> Tara: Yes, yes, yes. >> "I don't want to change." >> (laughs) Oh, yeah. >> How do you make that happen? How do you lead people through that very difficult transformation at an emotional level, on a business level? What's the strategy there? What's your technique? >> Yeah, so, again, back to, you have to show results. And you have to show results incrementally in a way that people can appreciate them and consume them. You have to look at technology from a business value perspective. Business value comes first, technology is just along for the ride. That's how people see it, and that's how they should see it. >> John: Mm-hm. >> It's what you can do with the technology that makes a difference. So, some of the techniques that I have used in the past have been, number one, you do have to find like-minded people in the organization. You can't go at it alone. You have to start to build your clan, if you will, of innovators, so you've got a target audience that you're chippin' away at, slowly, but you've got to build credibility. Because results build credibility. Credibility builds trust. Trust removes barriers. So that's kind of the way that I approach things. I bring like-minded people together, I find people in the organization, of the people that are resistant, that I can bring onto "my side," if you will, and I use their knowledge, their insights, their knowledge of how this person who is obviously a stakeholder, and an important stakeholder, how they think and what's important to them, and I use that language and that person to be able to approach individuals in different ways. It's about culture. >> And it's always good to make them, you know, success has many fathers, if you will-- >> Yep. >> Is always an expression. Making them feel part of the solution. >> Absolutely. >> So I got to ask you a question. Is having a software background, coming into the tech world and the business world, this, now, you're starting to see applications really dictate to the infrastructure. Elastic clouds are out there. >> Tara: Yes. >> You have data as a resource now. If you were entering the market as a young software engineer today, and you were asked to come in and make an impact, knowing what you know, how do you see the world today? Because, you know, a lot of software engineers creating value from men, and, now, a lot more women are coming on board. >> Yeah, yeah. >> It's still lower numbers, but still, software's not just that software engineer. >> Yeah. >> It's software architecture, it's software engineering, software development, UX, UI-- >> Tara: Yeah. >> Analytics, a lot of range-- >> Tara: Yeah, yeah. >> Of software opportunities. How would you attack the marketplace today if you were coming in and entering the workforce or in the middle of your career? >> Yes, you know, when I look at my career, which is a little longer than I'd like to admit, I see myself as a young undergraduate student in India. I was one of six girls in a class of about 50. I was striving to get a degree in what was called, actually, electronics and telecommunication. I was in a minority. I came over here to the United States, and I continued to be in the minority. I look at my career, which is more than 25 years old. I have also continued to stay in the minority throughout that career. The biggest difference between where I am now in my career versus where I was then is I don't care as much anymore that I'm in the minority. (both laugh) Right? What is fascinating to me, though, John, is when I look at some of the very young students, actually, we had a high school intern program for the first time this year at Clorox, which is actually interesting. We typically have college interns, but this year, Clorox, a 105-year-old company in the middle of the Silicon Valley, having the ability to see that the very, very young generation can think very differently, and bringing in the high school intern, or a set of high school interns, to help with that journey, I think, was forward-thinking for the company. And those kids, the confidence that they have? They are not shackled by knowing too much, you know? >> John: Yes. >> But they know what's relevant, they know how to make things happen, and boy, do they know how to use technology to make problems that we consider problems that would take months, happen so quickly. They were with us for four weeks. In four weeks, they developed an app, a website. They developed our logo. They developed a PR video for us. They had an innovation showcase. In four weeks, four little students. >> It's interesting, for the first time (Tara laughs) in my career, I can admit that, from a self-awareness standpoint, "Well, I really don't know what I'm talking about." These young kids have a different view, because now their experiences are different. >> Tara: Yes. >> And so, the insight coming out of this new generation really is pretty compelling. >> Tara: It is. >> They are adding a lot more because there's been a shift in expectations, there's been a shift in experiences-- >> Tara: Yes. >> For this new generation, and they're at the forefront, so it's a big wave coming. What's your thoughts on that? Because analytics is a big part of your career now, and it always-- >> Tara: Yes, yes. >> Has been, but now, more than ever-- >> Yeah. >> The younger generation, they want instant gratification, they want value. >> They do. >> They don't want to wait and be told-- >> They do. >> They want to see the immediacy. >> They do. >> Talk about this new shift, this new younger generation. >> Yeah, yeah. You know, there used to be the good old days, where we could, say, put a product out there and, you know, eventually it kind of works its way into the consumer ecosystem, and then we'd get to hear back, over the course of time. Customers would call in with a recommendation or a complaint. It's very different now. Things are out there instantaneously. We put something out there, you're getting comments and reviews, some of them good, some of them not so good. It's out there, and it's out there instantly. And that also, the modern consumer is not shy. They kind of hide behind the keyboard, and they're putting their comments out there, right? (both laugh) They're the keyboard warriors! >> John: (laughs) Yeah. >> So being able to respond to that and having not just the data, but the ability to extract insights from data and to extract insights in real time, that is crucial. And so, gone are the days where you had months to do your analytics. You have to be able to do your analytics in the flow, you have to be able to take in new information, incorporate it into your models, be able to do predictive analytics on it. So technology and the way that it is evolving is super critical for survival these days. >> So, survival, and also competitive advantage, we've heard-- >> Oh, for sure. >> From other CIOs, and also CSOs, from a security standpoint-- >> Yes, yes. >> There's business risks involved. How real-time do you see the advantage being? Obviously, near real time is pretty much what people talk about. >> Yeah. >> Real time is to the second, and self-driving cars will certainly need that. >> Yeah, yeah, yeah. >> But as a leader chasing the real-time holy grail-- >> Yeah. >> Seems to be a theme we hear. How do you react to that, and how do you view real-time data? >> There is definitely something that builds up to the richness of data that you can take advantage of in "real time." And I am saying "real time" in quotes because there is a contextuality associated with it. The wonder of modern advanced analytics and machine learning is that you have an existing model that you're tweaking and evolving with new information, and that model is serving as your guide as you receive new information. So, does it have to be reactive, or can it be proactive? You're building the insights, and then you're adding on new information as you see it. And you're using technology to help you make more holistic decisions. And at the end of the day, there is something to be said about the human aspect of it. The machine can give you guidance-- >> John: Yes. >> But the human being needs to make the decision. >> I'd love to ask you a quick question on that, because I think this is something that we talk about all the time. >> Yeah. >> Humans are critical in the equation, machines augment the humans. >> Yes. >> In the data world, if you're "data-driven," which has been (laughs) a cliche, "We're data-driven!" >> Tara: Yes, yes. >> It takes on multiple forms. >> Tara: Yes. >> I've seen multiple actors saying, "We're data-driven," but they're really just correlating data. >> Tara: Yeah. >> The causation side of it is, what's causing things, that's more of a management thing. >> Tara: Yeah. >> So causation and correlation are two different variables-- >> Tara: Yes. >> In the analytics field right now-- >> Tara: Yeah. >> That are being amplified as, you got to know the distinction between correlation, because you can correlate anything, causation is something that might be more designed towards figuring out something, and you really can't rest on one more than the other. >> Yeah. (laughs) >> Your thoughts on the balance between the two. >> You're talking to someone who worked in health care for-- (laughs) >> John: (laughs) I probably won't get you to continue. >> For almost seven years. Causation and correlation are-- >> John: More important than ever. >> Are more important than ever. And I think more and more, the boundary between what machines can do and how they can augment human beings, versus actually having the machines help you make decisions, it's getting fuzzier, and machines are able to do more and more. I mean, all of the knowledge that you could read about 24 hours a day cannot sit in your head. You have to be able to leverage machines to help you make those decisions. So as far as causation and correlation, I think the correlation is something that the machine can be the master of. It can see patterns where you may not even think to look for patterns. So I think that, let's give it up to the machines. Correlation is where-- >> John: They got that. >> The machines have got that, and you got to set them up so that they can do that for you. Causation is where the tricky area starts to happen. Because there is a lot to say, especially when you talk about doctors, about experience and working with individuals. Each individual is different. You can't say that the causation for this person is the same as that because the correlations are similar. No, you have to look, there are so many factors that go into what is causing-- >> John: Yeah. >> A disease or a condition in a person. So I think that is where the human element and experience really, really still make a difference. >> In the media business, we call it behavioral and contextual. >> Yes. >> Context is really important for really aligning-- >> It is. >> With whatever the problem statement may be. >> Yes, yes. >> Correlation, behavior, machines can do that. >> Correct. >> That's awesome, great, great, great insight there. A final question for you is, for other folks out there, CIOs or IT executives, as they look at the digital transformation journey, which, again, very cliche, but very real, there's a lot of opportunities, but also potential pitfalls if not executed properly. >> Tara: Yeah. >> Your thoughts on general roadmaps or best practices around how to tackle transformation, if they're doing it, coming in for the first time or at the beginning, or if they're in the middle of a digital transformation, and they're stuck in the mud-- >> Yeah, yeah. >> Or "Oh my God, "my head person quit. "I got to get more people." >> Yeah. >> "I need developers," or people on the back end of the transformation, different parts of the journey. What's your advice? >> Yeah, I've got a couple of, again, from the scars of my past, a couple of things that I think are important. Number one, when I joined Clorox, I had the stretch goal of actually building out their cybersecurity program. I had not done that in the previous part of my career. I was an enterprise architect, that's where I would spend most of my many years. But cybersecurity, and I hired the CSO and built out that program for Clorox, it puts a whole different lens on how you look at your transformation, and it is an important lens. And I think I would not have been rounded, as either an enterprise architect who's developing technology strategy or a digital technology innovator, if I did not have that lens of, there is risk that you need to consider. Now, the point to remember is that you can't over-rotate one way or the other. You have to consider risk and opportunity, and there's a fine line. And I think the smartest CIOs and senior executives know where that fine line exists, and are able to tell when you need to go this way or that way. So that's one thing that I would say, is don't lose that lens. Technology can do wonderful things for you, but so can the hackers from a different-- >> You got to be aware-- >> You've got to be aware. >> And then, you've got to shape it, too, as it evolves. Is that something that you see as important? >> You have to have that lens of, you're doing this wonderful, amazing thing, however, what if the unintended audience is able to access whatever you're doing? And what can they do with it? So that's one thing that I would say, is keep that balance in mind. Again, don't over-rotate one way or the other, but keep that balance in mind. The other thing that I would say is, innovation is a state of mind that needs to be nurtured and developed, and it needs to be sought from every part of the organization. The only way to scale innovation is to have everybody be an innovator in the organization. So that would be my advice, is innovation can come from the youngest high school intern, or, we actually just had someone at Clorox celebrate their 50th year at Clorox. So, you know-- >> John: Yeah. >> Innovation can come from anywhere in the organization. You have to always be ready, open-minded, and prepared to grab that opportunity when it happens. >> My final takeaway for this is in context to where we are now, we're on Sand Hill Road-- >> Yes. >> At Mayfield Fund, they're a venture capitalist. >> Yes. >> They fund early-stage and growth. >> Yep. >> The younger generation, we just talked about the insights that they can have, new shifts that are happening in experiences, expectations. The startups, more than ever, have an opportunity to have customers like Clorox. >> Tara: Yes, yes. >> What used to be, "Well, a startup, "risk, don't go through the, go through TSA, "and when you get approved, "then we'll talk to you," kind of thing. (Tara guffaws) It's a big, painful process. >> Used to be? >> Now, more than ever, startups want to land the big Clorox deals. >> Yes, yes. >> They want to show the value proposition, time to value, shortening, with cloud and other things. What's your advice to startups who want to sell to you or hope to, aspire to, be successful in the marketplace? >> You know, I love startups, and I spent a lot of time with them. What I have seen as differentiating in the startups that I have seen is, some of them, they're out there, they want your business. So they are looking at you from that, "Can I get your business?" And then there are other startups that, I'm sure they've got that lens, but they don't make it obvious to you. To them, the value is in working with you. You're a company that is well-reputed. You've got a ton of amazing data that can be used to develop your models. You've got a ton of insights and understanding of the business that you can get by just working with this "reputed" company, like Clorox. Those in itself, you can't put a tangible, material value on that, but that is what helps startups build relevant and amazing products. And that, in itself, is "payment." The money will come, but look to the experiences, look to the ability to leverage data, and, above all, look to how you can position your product in a way that it is solving a business problem. Don't do technology for technology's sake. >> So, your advice would be, don't focus on on the PO. If they're venture-backed, they probably have some runway. >> Yes. >> Focus on the value proposition. >> Absolutely, and learning how companies operate and what's important to them, take the time to do that. >> How about scale? Do you hear that a lot with startups, they want to try to use the value proposition? One, they have to get in the door and show value, so that's one. >> Tara: Of course. >> Kind of table stakes, get through the door. >> Okay, yep. >> Then it's more about how they can be operationalized. That becomes something I've seen with startups. What's your thoughts on that? Because one of the benefits of getting in the door is getting (laughs) in the door, but staying in-- >> Yeah. >> Is about operationalizing that new value proposition. How do you look at that as a leader? >> (sharply exhales) Yeah, the word operationalization is an interesting one. So, companies like Clorox, I mean, while I love to work with startups, I will tell you that I do experiments, four, six, eight weeks, we've got a metric. If we go beyond that, it's probably a project that needs to go through a different route. But we do these experiments, and we do them quickly. The thing that we do worry about is, "Okay, great startup, great product. "Is it enterprise-ready?" You know? And I think that is where a lot of startups struggle a little bit, is, can they prove to you that their product is Fort Knox, that it won't be a way through which your systems get hacked? Can they prove to you that they've got a good handle on where they are going, what their roadmap is, what capabilities they are developing in their roadmap? Can they showcase that to you in a way that makes sense to you? We're looking for companies that are not just here today and gone tomorrow, companies that are here for the long run. And then, even if they can't do all of that, show that you integrate really well with our other products. Because, guess what, if you don't work out so well for us, little startup, we want to be able to replace you. We want to have that option. And if you don't integrate seamlessly and can be plucked out and put back in again, then we're stuck with something that we can't extract from our environment. So they've got to think how we think, is what I would advise them. (laughs) >> Tara, thanks so much for this great insight. For startups out there, for folks entering their career, for other women who are looking to break into tech, we have a great inspirational leader here. >> Thank you. >> John: Thank you for spending the time, we really appreciate it. >> Thank you very much, really appreciate it. >> Thank you very much. I'm John Furrier. You're watching the People First program with SiliconANGLE and Mayfield. Thanks for watching. (upbeat electronic music)

Published Date : Sep 11 2019

SUMMARY :

Announcer: From Sand Hill Road in the heart at The Clorox Company, as part of the People First Network They really have a great philosophy about people first. you know, decades. where you started, tell us about your background. So the past four years, I have been the vice president of IT Health care, serving patients, now you're Clorox is well-known for their analytics, of the curve. consumer companies have to be. to have a better relationship with their customers. of some of the things you're working on? We do not buy the same way as we did even five years ago. have looked at the changes and the waves of innovation Tara: (laughs) Oh, yes. and the way that you could get insights from data You know, one of the things, that's a great point. "let's look at the Consumer Price Index," of the practitioners even now is hard, By the way, that's rare early, isn't it? and that really started to get us those Don't try to do wholesale an impact on culture. in the DevOps culture we've seen in the past decade, Getting people to change has become that's their baby, adding features, And you have to show results incrementally So that's kind of the way that I approach things. Is always an expression. So I got to ask you a question. and you were asked to come in and make an impact, but still, software's not just that software engineer. How would you attack the marketplace today if you and bringing in the high school intern, and boy, do they know how to use technology It's interesting, for the first time And so, the insight Because analytics is a big part of your they want instant gratification, they want value. the immediacy. Talk about this new And that also, the modern consumer is not shy. And so, gone are the days where you had months How real-time do you see the advantage being? Real time is to the second, How do you react to that, and how do you And at the end of the day, there is something to be said But the human being I'd love to ask you a quick question on that, in the equation, machines augment but they're really just correlating data. The causation side of it and you really can't rest on one more than the other. between the two. won't get you to continue. Causation and correlation are-- I mean, all of the knowledge that you could read about You can't say that the causation for this person So I think that is where the human element In the media business, we call it behavioral machines can do that. at the digital transformation journey, "I got to get more people." or people on the back end of the transformation, Now, the point to remember is that you can't Is that something that you see as important? innovation is a state of mind that needs to be nurtured Innovation can come from anywhere in the organization. they're a venture capitalist. The startups, more than ever, have an opportunity to have "and when you get approved, the big Clorox deals. time to value, shortening, with cloud and other things. of the business that you can get don't focus on on the PO. Focus on the value and what's important to them, take the time to do that. One, they have to get in the door and show value, Kind of table stakes, Because one of the benefits of getting in the door How do you look at that as a leader? Can they prove to you that they've got a good handle we have a great inspirational leader here. for spending the time, we really appreciate it. Thank you very much, Thank you very much.

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Breaking Analysis: Spending Data Shows Cloud Disrupting the Analytic Database Market


 

from the silicon angle media office in Boston Massachusetts it's the queue now here's your host David on tape hi everybody welcome to this special cube in size powered by ET our enterprise Technology Research our partner who's got this database to solve the spending data and what we're gonna do is a braking analysis on the analytic database market we're seeing that cloud and cloud players are disrupting that marketplace and that marketplace really traditionally has been known as the enterprise data warehouse market so Alex if you wouldn't mind bringing up the first slide I want to talk about some of the trends in the traditional EDW market I almost don't like to use that term anymore because it's sort of a pejorative but let's look at it's a very large market it's about twenty billion dollars today growing it you know high single digits low double digits it's expected to be in the 30 to 35 billion dollar size by mid next decade now historically this is dominated by teradata who started this market really back in the 1980s with the first appliance the first converged appliance or coal with Exadata you know IBM I'll talk about IBM a little bit they bought a company called mateesah back in the day and they've basically this month just basically killed the t's and killed the brand Microsoft has entered the fray and so it's it's been a fairly large market but I say it's failed to really live up to the promises that we heard about in the late 90s early parts of the 2000 namely that you were going to be able to get a 360 degree view of your data and you're gonna have this flexible easy access to the data you know the reality is data warehouses were really expensive they were slow you had to go through a few experts to to get data it took a long time I'll tell you I've done a lot of research on this space and when you talked to the the data warehouse practitioners they would tell you we always had to chase the chips anytime Intel would come out with a new chip we forced it in there because we just didn't have the performance to really run the analytics as we need to it's took so long one practitioner described it as a snake swallowing a basketball so you've got all those data which is the sort of metaphor for the basketball just really practitioners had a hard time standing up infrastructure and what happened as a spate of new players came into the marketplace these these MPP players trying to disrupt the market you had Vertica who was eventually purchased by HP and then they sold them to Micro Focus greenplum was buy bought by EMC and really you know company is de-emphasized greenplum Netezza 1.7 billion dollar acquisition by IBM IBM just this month month killed the brand they're kind of you know refactoring everything par Excel was interesting was it was a company based on an open-source platform that Amazon AWS did a one-time license with and created a redshift it ever actually put a lot of innovation redshift this is really doing well well show you some data on that we've also at the time saw a major shift toward unstructured data and read much much greater emphasis on analytics it coincided with Hadoop which also disrupted the market economics I often joked it the ROI of a dupe was reduction on investment and so you saw all these data lakes being built and of course they turned into the data swamps and you had dozens of companies come into the database space which used to be rather boring but Mike Amazon with dynamodb s AP with HANA data stacks Redis Mongo you know snowflake is another one that I'm going to talk about in detail today so you're starting to see the blurring of lines between relational and non relational and what was was what once thought of is no sequel became not only sequel sequel became the killer app for Hadoop and so at any rate you saw this new class of data stores emerging and snowflake was one of the more interesting and and I want to share some of that data with you some of the spending intentions so over the last several weeks and months we've shared spending intentions from ETR enterprise technology research they're a company that that the manages of the spending data and has a panel of about 4,500 end-users they go out and do spending in tension surveys periodically so Alex if you bring up this survey data I want to show you this so this is spending intentions and and what it shows is that the public cloud vendors in snowflake who really is a database as a service offering so cloud like are really leading the pack here so the sector that I'm showing is the enterprise data warehouse and I've added in the the analytics business intelligence and Big Data section so what this chart shows is the vendor on the left-hand side and then this bar chart has colors the the red is we're leaving the platform the gray is our spending will be flat so this is from the July survey expect to expectations for the second half of 2019 so gray is flat the the dark green is increase and the lime green is we are a new customer coming on to the platform so if you take the the greens and subtract out the red and there's two Reds the dark red is leaving the lighter red is spending less so if you subtract the Reds from the greens you get what's called a net score so the higher the net score the better so you can see here the net score of snowflake is 81% so that very very high you can also see AWS in Microsoft a very high and Google so the cloud vendors of which I would consider a snowflake at cloud vendor like at the cloud model all kicking butt now look at Oracle look at the the incumbents Oracle IBM and Tara data Oracle and IBM are in the single digits for a net score and the Terra data is in a negative 10% so that's obviously not a good sign for those guys so you're seeing share gains from the cloud company snowflake AWS Microsoft and Google at the expense of certainly of teradata but likely IBM and Oracle Oracle's little for animal they got Exadata and they're putting a lot of investments in there maybe talk about that a little bit more now you see on the right hand side this black says shared accounts so the N in this survey this July survey that ETR did is a thousand sixty eight so of a thousand sixty eight customers each er is asking them okay what's your spending going to be on enterprise data warehouse and analytics big data platforms and you can see the number of accounts out of that thousand sixty eight that are being cited so snowflake only had 52 and I'll show you some other data from from past surveys AWS 319 Microsoft the big you know whale here trillion dollar valuation 851 going down the line you see Oracle a number you know very large number and in Tara data and IBM pretty large as well certainly enough to get statistically valid results so takeaway here is snowflake you know very very strong and the other cloud vendors the hyper scale is AWS Microsoft and Google and their data stores doing very well in the marketplace and challenging the incumbents now the next slide that I want to show you is a time series for selected suppliers that can only show five on this chart but it's the spending intentions again in that EDW and analytics bi big data segment and it shows the spending intentions from January 17 survey all the way through July 19 so you can see the the period the periods that ETR takes this the snapshots and again the latest July survey is over a thousand n the other ones are very very large too so you can see here at the very top snowflake is that yellow line and they just showed up in the January 19 a survey and so you're seeing now actually you go back one yeah January 19 survey and then you see them in July you see the net score is the July next net score that I'm showing that's 35 that's the number of accounts out of the corpus of data that snowflake had in the survey back in January and now it's up to 52 you can see they lead the packet just in terms of the spending intention in terms of mentions AWS and Microsoft also up there very strong you see big gap down to Oracle and Terra data I didn't show I BM didn't show Google Google actually would be quite high to just around where Microsoft is but you can see the pressure that the cloud is placing on the incumbents so what are the incumbents going to do about it well certainly you're gonna see you know in the case of Oracle spending a lot of money trying to maybe rethink the the architecture refactor the architecture Oracle open worlds coming up shortly I'm sure you're gonna see a lot of new announcements around Exadata they're putting a lot of wood behind the the exadata arrow so you know we'll keep in touch with that and stay tuned but you can see again the big takeaways here is that cloud guys are really disrupting the traditional edw marketplace alright let's talk a little bit about snowflakes so I'm gonna highlight those guys and maybe give a little bit of inside baseball here but what you need to know about snowflakes so I've put some some points here just some quick points on the slide Alex if you want to bring that up very fast-growing cloud and SAS based data warehousing player growing that couple hundred percent annually their annual recurring revenue very high these guys are getting ready to do an IPO talk about that a little bit they were founded in 2012 and it kind of came out of stealth and hiding in 2014 after bringing Bob Moog Leon from Microsoft as the CEO it was really the background on these guys is they're three engineers from Oracle will probably bored out of their mind like you know what we got this great idea why should we give it to Oracle let's go pop out and start a company and that NIN's and as such they started a snowflake they really are disrupting the incumbents they've raised over 900 million dollars in venture and they've got almost a four billion dollar valuation last May they brought on Frank salute Minh and this is really a pivot point I think for the company and they're getting ready to do an IPO so and so let's talk a little bit about that in a moment but before we do that I want to bring up just this really simple picture of Alex if you if you'd bring this this slide up this block diagram it's like a kindergarten so that you know people like you know I can even understand it but basically the innovation around the snowflake architecture was that they they separated their claim is that they separated the storage from the compute and they've got this other layer called cloud services so let me talk about that for a minute snowflake fundamentally rethought the architecture of the data warehouse to really try to take advantage of the cloud so traditionally enterprise data warehouses are static you've got infrastructure that kind of dictates what you can do with the data warehouse and you got to predict you know your peak needs and you bring in a bunch of storage and compute and you say okay here's the infrastructure and this is what I got it's static if your workload grows or some new compliance regulation comes out or some new data set has to be analyzed well this is what you got you you got your infrastructure and yeah you can add to it in chunks of compute and storage together or you can forklift out and put in new infrastructure or you can chase more chips as I said it's that snake swallowing a basketball was not pretty so very static situation and you have to over provision whereas the cloud is all about you know pay buy the drink and it's about elasticity and on demand resources you got cheap storage and cheap compute and you can just pay for it as you use it so the innovation from snowflake was to separate the compute from storage so that you could independently scale those and decoupling those in a way that allowed you to sort of tune the knobs oh I need more compute dial it up I need more storage dial it up or dial it down and pay for only what you need now another nuance here is traditionally the computing and data warehousing happens on one cluster so you got contention for the resources of that cluster what snowflake does is you can spin up a warehouse on the fly you can size it up you can size it down based on the needs of the workload so that workload is what dictates the infrastructure also in snowflakes architecture you can access the same data from many many different houses so you got again that three layers that I'm showing you the storage the compute and the cloud services so let me go through some examples so you can really better understand this so you've got storage data you got customer data you got you know order data you got log files you might have parts data you know what's an inventory kind of thing and you want to build warehouses based on that data you might have marketing a warehouse you might have a sales warehouse you might have a finance warehouse maybe there's a supply chain warehouse so again by separating the compute from that sort of virtualized compute from the from the storage layer you can access any data leave the data where it is and I'll talk about this in more and bring the compute to the data so this is what in part the cloud layer does they've got security and governance they got data warehouse management in that cloud layer and and resource optimization but the key in in my opinion is this metadata management I think that's part of snowflakes secret sauce is the ability to leave data where it is and have the smarts and the algorithms to really efficiently bring the compute to the data so that you're not moving data around if you think about how traditional data warehouses work you put all the data into a central location so you can you know operate on it well that data movement takes a long long time it's very very complicated so that's part of the secret sauce is knowing what data lives where and efficiently bringing that compute to the data this dramatically improves performance it's a game changer and it's much much less expensive now when I come back to Frank's Luqman this is somebody that I've is a career that I've followed I've known had him on the cube of a number of times I first met Frank Sloot when he was at data domain he took that company took it public and then sold it originally NetApp made a bid for the company EMC Joe Tucci in the defensive play said no we're not gonna let Ned afgan it there was a little auction he ended up selling the company for I think two and a half billion dollars sloop and came in he helped clean up the the data protection business of EMC and then left did a stint as a VC and then took over service now when snoop and took over ServiceNow and a lot of people know this the ServiceNow is the the shiny toy on Wall Street today service that was a mess when saluteth took it over it's about 100 120 million dollar company he and his team took it to 1.2 billion dramatically increased the the valuation and one of the ways they did that was by thinking about the Tam and expanding that Tim that's part of a CEOs job as Tam expansion Steuben is also a great operational guy and he brought in an amazing team to do that I'll talk a little bit about that team effect uh well he just brought in Mike Scarpelli he was the CFO was the CFO of ServiceNow brought him in to run finance for snowflake so you've seen that playbook emerge you know be interesting Beth white was the CMO at data domain she was the CMO at ServiceNow helped take that company she's an amazing resource she kind of you know and in retirement she's young but she's kind of in retirement doing some advisory roles wonder if slooping will bring her back I wonder if Dan Magee who was ServiceNow is operational you know guru wonder if he'll come out of retirement how about Dave Schneider who runs the sales team at at ServiceNow well he you know be be lord over we'll see the kinds of things that Sluman looks for just in my view of observing his playbook over the years he looks for great product he looks for a big market he looks for disruption and he looks for off-the-chart ROI so his sales teams can go in and really make a strong business case to disrupt the existing legacy players so I one of the things I said that snoopin looks for is a large market so let's look at this market and this is the thing that people missed around ServiceNow and to credit Pat myself and David for in the back you know we saw the Tam potential of ServiceNow is to be many many tens of billions you know Gartner when they when ServiceNow first came out said hey helpdesk it's a small market couple billion dollars we saw the potential to transform not only IT operations but go beyond helpdesk change management at cetera IT Service Management into lines of business and we wrote a piece on wiki Vaughn back then it's showing the potential Tam and we think something similar could happen here so the market today let's call 20 billion growing to 30 Billy big first of all but a lot of players in here what if so one of the things that we see snowflake potentially being able to do with its architecture and its vision is able to bring enterprise search you know to the marketplace 80% of the data that's out there today sits behind firewalls it's not searchable by Google what if you could unlock that data and access it in query at anytime anywhere put the power in the hands of the line of business users to do that maybe think Google search for enterprises but with provenance and security and governance and compliance and the ability to run analytics for a line of business users it's think of it as citizens data analytics we think that tam could be 70 plus billion dollars so just think about that in terms of how this company might this company snowflake might go to market you by the time they do their IPO you know it could be they could be you know three four five hundred billion dollar company so we'll see we'll keep an eye on that now because the markets so big this is not like the ITSM the the market that ServiceNow was going after they crushed BMC HP was there but really not paying attention to it IBM had a product it had all these products that were old legacy products they weren't designed for the cloud and so you know ServiceNow was able to really crush that market and caught everybody by surprise and just really blew it out there's a similar dynamic here in that these guys are disrupting the legacy players with a cloud like model but at the same time so the Amazon with redshift so is Microsoft with its analytics platform you know teradata is trying to figure it out they you know they've got an inertia of a large install base but it's a big on-prem install base I think they struggle a little bit but their their advantages they've got customers locked in or go with exudate is very interesting Oracle has burned the boats and in gone to cloud first in Oracle mark my words is is reacting everything for the cloud now you can say Oh Oracle they're old school they're old guard that's fine but one of the things about Oracle and Larry Ellison they spend money on R&D they're very very heavy investor in Rd and and I think that you know you can see the exadata as it's actually been a very successful product they will react attacked exadata believe you me to to bring compute to the data they understand you can't just move all this the InfiniBand is not gonna solve their problem in terms of moving data around their architecture so you know watch Oracle you've got other competitors like Google who shows up well in the ETR survey so they got bigquery and BigTable and you got a you know a lot of other players here you know guys like data stacks are in there and you've got you've got Amazon with dynamo DB you've got couch base you've got all kinds of database players that are sort of blurring the lines as I said between sequel no sequel but the real takeaway here from the ETR data is you've got cloud again is winning it's driving the discussion and the spending discussion with an IT watch this company snowflake they're gonna do an IPO I guarantee it hopefully they will see if they'll get in before the booth before the market turns down but we've seen this play by Frank Sluman before and his team and and and the spending data shows that this company is hot you see them all over Silicon Valley you're seeing them show up in the in the spending data so we'll keep an eye on this it's an exciting market database market used to be kind of boring now it's red-hot so there you have it folks thanks for listening is a Dave Volante cube insights we'll see you next time

Published Date : Sep 6 2019

SUMMARY :

David for in the back you know we saw

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Itamar Ankorion, Qlik | CUBE Conversation, April 2019


 

>> from the Silicon Angle Media Office in Boston, Massachusetts. It's the queue. Now here's your host. Still minimum. >> I'm stupid, Aman and this is a cube conversation from our Boston area studio. We spent a lot of time talking about digital transformation. Of course, At the center of that digital transformations data this segment We're going to be talking about the data integration platform. Joining me for that segment is Itamar on Cory on Who's the senior vice president of enterprise data Integration with Click. Thanks so much for joining me. >> Thanks to left me here. >> All right, so a zay just said, you know the customers, you know, digital information when you talked to any user, you know, there there's some that might say, Oh, there's a little bit of hyper I don't understand it, but really leveraging that data, you know, there are very few places that that is not core toe what they need to do, and if they're not doing it, they're competition will do it. So can you bring us inside a little bit? That customers you're talking to that, that you know where that fits into their business needs and you know how the data integration platform, you know, helps them solve that issue. >> Absolutely so, As you mentioned, the diesel transformation is driving a lot ofthe innovation, a lot off efforts by corporations and virtually any organization that we're talking. Toa seize data is a core component off, enabling the little transformation. The data creates new analytics, and there was toe power, the digital transformation, whether it's in making better decisions, whether it's embedding the analytics and the intelligence into business processes and custom applications to ever to reach the experience and make it better. So data becomes key, and the more data you can make available through the process, the faster you can make a development in the process. The faster you can adapt your process to accommodate the changes, the better it will be. So we're saying organization, virtually all of them looking to modernize their day, the strategy and the day, the platforms in order to accommodate these needs. >> Yeah, it's such a complex issue. We've we've been at, you know, chief data officer events way, talk about data initiatives. You know, we worry a little bit that the sea seats sometimes here it's like up. They heard data is the new oil and they came and they said, You know, according to the magazine I read, you need we need to have a date, a strategy, and give me the value of data. But, you know, where is the rubber hitting the road? You know what? What are some of those steps that they're taking? You know, how do I help, you know, get my arms around the data and that help make sure it can move along that spectrum from kind of the raw or two, you know, real value. >> I think you made a great point. Talking about the or to value our as we refer to it is a road to ready. And part of the whole innovation that we're seeing is the modernization of the platform where organizations are looking to tap into the tremendous amount of data that is available today. So a couple of things have happened first in the last decade. First of all, we have significantly more data. It is available and and then ever before, because of digitization, off data and new sources become available. But beyond that, we have the technology is the platforms that can both store in process large amounts of data. So we have foundations. But in the end, to make it happen, we need to get all the data to where we want to analyze it and find a way to put it together and turning from more row material into ready, material ready products that can be consumed. And that's really where the challenges and we're seeing. A lot of organizations, especially the CEO Seo the animals, architecture and First data architecture, teams on a journey to understand how to put together these kind of architectures and data systems. And that's where without data integration platform, we focused on accommodating the new challenges they have encountered in trying to make that happen. >> Yeah, help us unpack a little bit, You know, a here today. You know, it's the economy. Everything should work together when I rolled out. You know, in our company, you know, the industries leading serum, it's like, Oh, I've got hundreds of data sources and hundreds of tools I could put together, and it should be really easy for me to just, you know, allow my data to flow and get to the right place. But I always always find a lot a lot of times that that easy. But I've been having a hard time finding that so so >> that that's a good point. And if you cannot takes the bag, understand water, this side of the court challenges or the new needs that we're seeing because we talk about the transformation and more than analytics field by data being part of it. More analytics created a new type of challenges that didn't exist before and therefore kind of traditional data integration tools didn't do the job they didn't meet. Those model needs me very touched on a few of those. So, first of all, and people, when customers are implementing more than analytics many times where they refer to escape well they're trying to do is to do a I machine learning. We'LL use those terms and we talk about him but machine learning and I get smarter, the more data you give them. So it's all about the scale of data, and what we're seeing with customers is where if in the past data warehouse system, but if typically had five ten twenty, they the source is going into it. When I was saying one hundred X uh, times that number of sources. So we have customers that worked with five hundred six hundred, some over two thousand source of data feeding the data analytics system. So scale becomes a critical need and we talk about scale. You need the ability to bring data from hundreds or thousands of sources so systems efficiently with very low impact and ideally, do it also with less resources. Because again, you need to scale the second second chair and you ran in tow s to do with the fact that more than analytics for many organizations means real Time analytics or streaming analytics. So they wantto be ableto process data in real time. In response for that, to do that, you need away toe move data, capture it in real time and be able to make it available and do that in a very economic fashion. And then the third one is in order to deal with the scare in order to deal with the agility that the customers want. The question is, well, are they doing the analytics? And many of them are adopting the cloud, and we've been seeing multicoloured adoption. So in order to get data to the cloud. Now you're dealing with the challenge of efficiency. I have limited network band with. I have a lot of data that I need to move around. How can I move all of that and do that more efficiently? And, uh, the only thing that would add to that is that beyond that, the mechanics of how you move the data with scale, with efficiency even in real time there's also how you approach the process where the whole solution is to beware. What a join those the operations you can implement and accommodate any type of architecture. I need to have a platform that you may choose and we sink us was changed those overtime. So I need a breather to be agile and flexible. >> Yeah, well, ah, Lotto unpack there because, you know, I just made the comment. You know, if you talk about us humans, the more data we give them doesn't mean I'm actually going to get better. It's I need to We need to be able to have those tool ings in there to be able to have that data and help give me the insights, which then I could do on otherwise, you know, we understand most people. It's like if I have to make decisions or choices and I get more thrown at me, there's less and less likelihood that I can do on that on boy the Data Lakes. Yeah, I I remember the first time I heard Data Lakes. It was, you know, we talked about what infrastructure rebuilding, and now the last couple of years, the cloud public cloud tends to be a big piece of it. Even though we know data is goingto live everywhere, you know everything, not just public private ground. But EJ gets into a piece of it so that you know that the data integration platform, you know how easy it for customers get started on that We'LL talk about that diversity of everything else, you know, Where do they start? Give me a little bit of kind of customer journey, if you would. And maybe even if you have a customer example that that would be a great way to go illustrated. >> Absolutely so First of all, it's a journey, and I think that journey started quite a few years ago. I mean, do it is now over ten years old, and they were actually seeing a big change in shifting the market from what was initially the Duke ecosystem into a much brother sort of technology's, especially with the cloud in order to store and process large scales of data. So the journey customs we're going through with a few years, which were very experimental customers were trying trying it on for size. They were trying to understand how Toby the process around it, the solutions of them ivory batch oriented with may produce back in the early days off. But when you look at it today, it's a very it's already evolved significantly, and you're saying this big data systems needing to support different and diverse type off workloads. Some of them are michelle machine learning and sign. Some of them are streaming in the Olympics. Some of them are serving data for micro services toe parad, Egil applications. So there's a lot of need for the data in the journey, and what we're seeing is that customers as they move through this journey, they sometimes need to people and they need if they find you technology that come out and they had the ability to be able to accommodate, to adapt and adopt new technologies as they go through. It s so that's kind of the journey we have worked with our customers through. And as they evolved, once they figured it out, this scale came along. So it's very common to see a customer start with a smaller project and then scale it up. So for many of the cost me worked with, that's how it worked out. And you ask for an example. So one of her customers this month, the world's largest automotive companies, and they decided to have a strategy to turn what they believe is a huge asset they have, which is data. But the data is in a lot of silos across manufacturing facility supply facilities and others inventory and bring it all together into one place. Combined data with data to bring from the car itself and by having all the data in one place, be able to derive new insights into information that they they can use as well as potentially sale or monetizing other other ways. So as they got started, they initially start by running it out to set a number off their data data centers and their source of information manufacturing facilities. So they started small. But then very quickly, once they figured out they can do it fast and figure out the process to scale it. Today, there are over five hundred systems they have. Martha is over two hundred billion changes in data being fed daily. Okay, enter their Data lake. So it's a very, very large scale system. I feel we can talk about what it takes to put together something so big. >> Yeah. Don't pleaded. Please take the next step. That would that would be perfect. >> Okay, so I think whether the key things customers have to understand, uh, you were saying that the enterprise architecture teams is that when you need to scale, you need to change the way you think about things. And in the end of the day, there are two fundamental differences in the approach and the other light technology that enabled that. So we talked earlier about the little things help for the mind to understand. Now I'm going to focus on and hide it. Only two that should be easy to take away. First is that they're the move from bench to real time or from batch tow. The Delta to the changes. Traditionally, data integration was done in the best process. You reload the data today if you want to scale. If you want to work in a real time, you need to work based on the Delta on the change, the fundamental technology behind it. It's called change data capture, and it's like technology and approach. It allows you to find and identify only the changes on the enterprise data systems and imagine all the innovation you can get by capturing, imposing or the change is. First of all, you have a significant impact on the systems. Okay, so we can scale because you were moving less data. It's very efficient as you move the data around because it's only a fraction off the data, and it could be real time because again, you capturing the data as it changes. So they move from bitch to real time or to streaming data based on changes. The capture is fundamental, fundamental in creating a more than their integration environment. >> I'm assuming there's an initial load that has to go in something like that, >> correct. But he did that once and then for the rest of the time you're really moving onto the deltas. The second difference, toe one was get moving from batch toe streaming based on change. The capture and the second eyes how you approach building it, which is moving from a development. Let platform to automation. So through automation, you could take workloads that have traditionally being in the realm ofthe the developer and allow people with out development skills to be able to implement such solutions very quickly. So again, the move from developer toe toe configuration based automation based products or what we've done opportunity is First, we have been one of the pioneers in the innovators in change that I capture technology. So the platform that now it's part of the clique that integration plan from brings with it okay over fifteen years off innovation and optimization change their capture with the broader set of data sources that our support there, with lots of optimization ranging from data sources like sickle server and Oracle, the mainstream toe mainframes and to escape system. And then one of the key focus with the head is how do we take complex processes and ultimatum. So from a user perspective, you can click a few buttons, then few knobs, and you have the optimize solution available for making data moving data across that they're very sets off systems. So through moving on to the Delta and the automation, you allow this cape. >> So a lot of the systems I'm familiar with it's the metadata you know, comes in the system. I don't have to as an admin or somebody's setting that up. I don't have to do all of this or even if you think about you know, the way I think of photos these days. It used to be. I took photos and trying to sort them was, you know, ridiculous. Now, my, you know, my apple or Google, you know, normally facial recognition, but timestamp location, all those things I can sort it and find it. You know, it's built into the system >> absolutely in the metadata is critical to us to the whole process. First of all, because when you bring data from one system to another system, somebody's to understand their data. And the process of getting data into a lake and into a data warehouse is becoming a multi step day the pipeline, and in order to trust the data and understanding that you need to understand all the steps that they went through. And we also see different teams taking part in this process. So for it seemed to be able to pick up the data and work on it, it needs to understand its meta data. By the way, this is also where the click their integration platform bring together the unity software. Together with Click the catalyst, we'LL provide unique value proposition for you that because you have the ability to capture changed data as it changes, deliver that data virtually anywhere. Any data lake, any cloud platform, any analytic platform. And then we find the data to generate analytic ready data sets and together with the click data Catalyst, create derivative data sets and publish all of their for a catalogue that makes it really easy to understand which data exists and how to use it. So we have an end to end solution for streaming data pipelines that generate analytic data that data sets for the end of the day, wrote to ready an accelerated fashion. >> So, Itamar, your customers of the world that out, How did they measures Casesa? Their critical KP eyes is there You know some, you know, journey, you know, math that they help go along. You know what? What? What are some commonalities? >> So it's a great question. And naturally, for many organizations, it's about an arrow. I It's about total cost of ownership. It seeing result, as I mentioned earlier, agility and the timeto value is really changing. Customers are looking to get results within a matter of, if very few month and even sometimes weeks versus what it used to be, which is many months and sometimes even years. So again, the whole point is to do with much, much faster. So from a metric for success, what we're seeing his customers that buy our solution toe enable again large scale strategic initiatives where they have dozens to hundreds of data sources. One of the key metrics is how many data sources heavy onboard that heavy, made available. How many in the end of the data sets that already analytic ready have we published or made available Torrey Tor users and I'LL give you an example. Another example from one of for customers, very large corporation in the United States in the opportunity of after trying to move to the cloud and build a cloud Data Lake and analytic platform. In the two years they're able to move to two three data sets to the cloud after they try, they knew they'd integration platform okay, there. But they moved thirty day The sits within three months, so completely different result. And the other thing that they pointed out and actually talk about their solution is that unlike traditional data integration software, and they took an example of one of those traditional PTL platforms and they pointed out it takes seven months to get a new person skilled on that platform. Okay, with our data integration platform, they could do that in a matter of hours to a few days. So again, the ability to get results much faster is completely different. When you have that kind of software that goes back to a dimension about automation versus development based mouth now, >> it really seems like the industry's going through another step function, just as we saw from traditional data warehouses. Tto win. Who? Duke rolled out that just the order of magnitude, how long it took and the business value return Seems like we're we're going through yet another step function there. So final thing. Yeah, You know what? Some of the first things that people usually get started with any final takeaways you want to share? >> Sure. First, for what people are starting to work with. Is there usually selecting a platform of choice where they're gonna get started in respect of whether Iran analytics and the one take a way I'LL give customers is don't assume that the platform you chose is we're going to end up because new technologies come to market, a new options come. Customers are having mergers, acquisitions, so things change all the time. And as you plan, make sure you have the right infrastructure toe allow you two kind of people support and make changes as you move through the throw. These are innovation. So they may be key key takeaway. And the other one is make sure that you're feeling the right infrastructure that can accommodate speed in terms of real time accomodate scale. Okay, in terms of both enabling data legs, letting cloud data stores having the right efficiency to scale, and then anything agility in respect to being able to deploy solution much, much faster. Yeah, >> well, tomorrow I think that. That's some real important things to say. Well, we know that the only constant Internet industry is change on DH. Therefore, we need to have solutions that can help keep up with that on and be able to manage those environments. And, you know, the the role of is to be able to respond to those needs of the business fast. Because if I don't choose the right thing, the business will go elsewhere. Tara trying to fuck with Angelo. Thank you so much for sharing all the latest on the immigration data platforms. Thank you. Alright, Uh, always lots more on the cube dot Net comes to minimum is always thanks for watching.

Published Date : May 16 2019

SUMMARY :

It's the queue. Itamar on Cory on Who's the senior vice president of enterprise data Integration with Click. and you know how the data integration platform, you know, helps them solve that issue. and the more data you can make available through the process, the faster you can make a development that spectrum from kind of the raw or two, you know, real value. But in the end, to make it happen, we need to get all the data to easy for me to just, you know, allow my data to flow and get to the right place. the mechanics of how you move the data with scale, with efficiency even in real time there's Yeah, well, ah, Lotto unpack there because, you know, I just made the comment. So the journey customs we're going through with a few years, which were very experimental customers Please take the next step. imagine all the innovation you can get by capturing, imposing or the change is. So through moving on to the Delta and the automation, you allow this cape. So a lot of the systems I'm familiar with it's the metadata you know, absolutely in the metadata is critical to us to the whole process. there You know some, you know, journey, you know, math that they help go along. So again, the ability to get results much faster is completely different. it really seems like the industry's going through another step function, just as we saw from traditional data warehouses. assume that the platform you chose is we're going to end up because new technologies come to market, Alright, Uh, always lots more on the cube dot Net comes to minimum is always

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Lily Chang, VMware | Women Transforming Technology 2019


 

>> from Palo Alto, California It's the Cube covering the EM Where women transforming technology twenty nineteen. Brought to you by V. M. Where. >> Lisa Martin on the ground at the end. Where in Palo Alto, California for the fourth annual Women Transforming Technology event. W. Squared one of my favorite events, and I'm pleased to welcome back to the Cube, one of the leader female leaders at being where Lily Chang, the VP of of the strategic transformation office. Lily, it's so great to have you on the program again. >> Thank you. It's my pleasure and honor to be here. >> So this event, one of my favorites, as I mentioned, even just walking up to registration this morning. The energy, the excitement, the supports >> is in the air. >> Yes, And then you walk into the keynote, and it was kicked off this morning with such an incredible presentation, and number was actually mentioned earlier. That was about fifteen hundred people just in person today, not even mentioning the live stream. So the momentum in just four years that you guys are creating is huge. >> Yes, Well, where is a great place for diversity and inclusion that is one of our companies. Strategic Motif Way believed that in order to basically create the best technology in the world, today was the evolution and the advancement >> off. All these technology working together, we're servicing all genders origin globally. So that means the creation of this. We >> need to bring all these culture aspect to bring into our design thinking. So when we saw the problem, we are not solving in in a mo no fashion way actually can look at multiple facets. So having this event is part of our passion is really part of our DNA. Now >> I think that's fantastic. That's inspirational for other companies to really look it. It's not just an event that Veum were put on. This is really changing the anywhere from within as well. >> Yes, this a change process has started quite a while ago. I would say inherently Arjun Attic nature off of'em were is that we actually >> do believe in all genders are original founder and CEO was a woman, right? And so we pioneered a virtual ization and we believe in woman leadership. We believe in all levels off woman innovation, together with man and all the origin globally in the >> world That's fantastic. So I wanted last year we talked with you, which was fantastic. We're happy to have you back. I want to talk about something that you guys recently launching aboutthe last year helping women return to work. Tell us about Tara and just >> helping women how they are able to get back into technology. >> Yes, so this is one of my favorite topic. Basically, we talked about glasses, ceilings for decades, about woman in terms of how you break two classes ceiling, how you identified, how you work around it and all the things. There is a huge transparent glasses ceiling being view worldwide for a long time, and that is basically woman care about the society. Women care about the family, so, so, so so all the genders as well. However, there's a lot of the woman were forced. They may be technically very achieving in terms with their career or academic side. They have to basically take care ofthe parenthood, take care of family for various personal reasons. After a couple of years, their passion for the technology still exist. They want to join the war force to propel the world, and basically especially now, was the technology is put to a lot of technology for good, to help sustainability, to help medical field, to help disabled people. All these >> things right, but they're having a little bit of >> difficulty to read. Enter the work face and that's a glass is silly because their technology knowledge may be a little bit dated because just away how in the past ten years how you were in all >> the other Giants has propelled technology so quickly changes so quickly like three months >> is almost like a decade nowadays, right is moving in that quantum speed. So what >> we have done is basically we decided to create a Tara project. Is a woman returned to work initiative and we're basically >> launching specifically, focus on India region, right? And basically we are funding fifteen thousand woman, and we are training them and brought him up to speed about technology. Especially, was our software different data center in virtual ization? Networking storage? Right. So we are giving them a certification program, and that is something in some part of the world. That certificate moves a lot. It's like a pedigree indicate that you not only believe you actually know all this you've got evidence that you really know it and they're people. I certify you so with that, that enable them to be able to jump back into the workforce was full qualification and was a virtual ization being dominant in the world, right? Basically, it's like something that it's really hot and really relevant and were also helping them to basically connect with our customers in India so that they actually could be interview for future positions as well. How so, basically, is a into end strategy transformation to break the huge glasses ceiling >> here. Thick glass ceilings. So you fifteen thousand women this >> has just >> launched last year. How long is the certification program that they >> go through? We want to be able to achieve that. Go in the next couple years, starting this year >> starting this year, fifteen thousand women in the next couple of years. >> In the next couple years >> way, I should have >> got a few thousands already. So in the beginning for the first quarter, two were making very decent progress and Wei have a community partner. Happens to be a woman who co because they have a worldwide organization and they're sending the community message out to promote this. We also working really closely with the Indian government to push for this, to get their recognition for this as well, because we believe that will be beneficial for these woman we brought back to the war force. There's multiple aspect is not just touching the hearts in the soul ofthe many, many family, but is also basically injecting quality, highly qualified, incompetent technical talent back into the India community and industry, so that actually can proliferate and elevate the entire India technology level. >> Two shaves >> Transformative. I feel like that word isn't even strong enough, Lulu. That's remarkable. The potential that has on you mentioned the involvement of women who could have been on the board there for quite a while >> for more than three years now. >> And I was looking at >> some numbers with growth of that community alone is incredible. Over one hundred eighty thousand members in twenty countries So far you've done over eight thousand training's workshops. Hackathons conferences over two point five million dollars has been awarded in developer school in conference scholarships. >> Wow, the momentum moment is very high. It is very hard, you >> said you're even launching another country this year. >> We So we're not sitting on saying OK, we're satisfied. We're never satisfied because the world goes on right? So does the word expand. Thus the technology excel itself. We want to basically leap ahead with all this. So we're not stopping. So this year will Mexico and being where we're launching Costa Rica za So we believe we actually opened a lot of the region of the world and unlock the energy and the innovation and the community's oh gender to work together in India, China, Sofia. And we worked really closely with a lot of the industry technical giants and woman Wilco propelling this tech woman community in us and also in Europe. Now we will leave Costa Rica. It's a very strategic side for bm where >> tell us a >> little bit more about why is it sister team is a >> strategic for a couple reasons we are doing also world we are working together was a global community and the global clock. So Costa Rica is tine zone wise very nicely either bridge in between the other time zone with us and also it's overlapping very well with us times. Oh, so they actually could do a lot of the key business execution, including operation and IT and customer support. Technical support. So we do have technical people over there, but not enough technical woman Momenta way also believe the country can really use some help from us. So we're working with a woman who co and this is a decision will be assessing for awhile. But we believe that ranch in Costa Rico Ashley make it a blossom in that region off the world, not just Costarica. We're kind of looking that we hope it becomes a hub >> That's incredible, just but also not just what you're doing with Tara and with expanding women who code to Costa Rica. It's also the opportunity for actual economic benefits to these countries. But what I also I'm hearing is that, for example, with Tara, you're No, it's not just it's a the end where myopic. We want more women to come back to the workforce the way we want them too injured to be introduced to our customer base so that they can network, >> and it tends to establish report >> other opportunities for employment. >> That's right, even though they do not get a particular position when they are connected to a customer that is a relationship, and that is something that will stay with that woman in that talent for walk. And that is something that we feel is very important to connect all these critical stakeholders together. So Tara has that faucet ahs well, >> and you mentioned that there's already been about a thousand or a couple of thousand >> of thousands already gone morning. >> Twenty five hundred, I believe, >> any favorite success stories that come to mind. >> Yes, my favorites is says Story is >> the very first Tara Certify Woman is a woman who co member, so we're very, very proud of that because that shows the partnership actually works. That means a lot of the technical curriculum and a monthly meet up and all these technical conference. That woman who was trying to do the scholarship they try to handle all those are kind of a cumulatively paying off. Was Tara being the major critical push to push them over that glass ceiling limit? Right? >> I just think that's fantastic. I was looking at the woman who could website just the other day, and I saw that your event it was sold out >> you connect >> twenty nineteen? >> That's right. >> But just the moment on the excitement, the support in this community that is growing, as we mentioned earlier, one hundred eighty thousand plus tell us about the connect event >> Connected is a technical conference. We do talk a little bit about. The leadership in this office is skilled, but it has motive. All technology track. In fact, this year what we want to do is we want to start basically elevating into technology domain track because we now have a very successful who created leadership role like a city director. City Italy. They incubated from Weston ten thousand member in the past three and a half years. Two hundred eighty thousand member. A lot of the kudos and credit go to them, but as a result, we have wealth, body off woman talent that are highly technical and highly versatile in many, many fields. Right, because we believe today, for a poor talent to be successful in technology field, you cannot just specialize in one. If you look at Coyote, you look at a blockchain, all these emerging stuff. It's not just about a Iot machine. Learning is also about virtual ization about how well you can do the logic and the analytics and the data mining and the algorithms. Right? So basically we want to have multiple technology track, and that would include things like cloud like Blough Chan. And then that gives also a possibility for one who quote to create a individual contributor volunteer track, like we want to basically launched a notion off a cloud architect, right? So give basically people away to aspire to growth and so they can actually measure the growth, which is very good in the sense off that you know where you stand, you know, you can't plan for the next step. And so this isn't something that we want to be able to do, and we're basically launching that as well. Um connect also via were hosted open the Global Connect in India. This year we had a breakthrough. We actually have more than a thousand attendees. Wow, so that's like more than twice to jump from last year. Last year was about maybe three hundred. Niche, right? So this is a tremendous growth, and basically it's wonderful to see that there's a lot of technology track and the woman coming in sharing very openly about what they know and the sharing and the learning. And the coaching is part of the whole overall energy as well. >> So if we look at impact so far, the various impact that you talked about with both Tara, which is quite really in its history women who code w. T squared and we look at, say, even in the US alone, fifty percent of the population is female. It's a tremendous amount of women who are just women in general who are technologically savvy but are passed over for these positions. Then he kind of factor in into that fifty percent. How many of them are women who have had to leave the workforce for various reasons that we talked about earlier? There's a tremendous amount of of women out there with skills who aren't being looked at. Where is women who code? And Tara, where are you on changing those numbers from fifty percent too, you know, forty seven percent of forty five percent. Do you have any sort of strategic goals in your office? Numbers wise? Well, for me personally >> and the forewoman who co we wanted basically be able to change the world way. Want to offer all the technical woman in the world a choice for their career letter? So Tara is a >> way to do it to break one particular glasses. Silly, right? And there's also a lot of these scholarships. And olders is to help women to be able to do career, transform native patient change change, for example, Woman Ochoa's part of comeback. We actually handle five awards to recognize five outstanding woman leaders, in our opinion, one of them, she started with a woman who co was a individual member. She was just a junior engineer. But in less than two years periods, she is actually now a VP. Let's fast track. It's very fast track. So we believe in human power and potential way, especially believe in a woman that basically is under representative in a lot of the technology sectors. Our job is to unlock these potential and their barriers and roadblocks in various forms, right big and small. So the job is really to unlock all this way. Want to be able to move the needle up to towards the right direction with all these things that we're doing >> last thing here, let's finish with how you yourself have broken through many, many levels of glass ceilings to get where you are tonight. Share with us a little bit about your career journey. >> Micro Journey is recently about two and a half years ago, I moved from our indie world to strategy transformation office. It's a it's a one of these moments, I would say, is a glass a cliff, Right? You're standing at the edge of this glasses ceiling house and you're just about to plunge it in. That was the feeling I got two and a half years ago. But you know what? I am so loving it. It is basically the best occur decision I've ever made because there was a dimension that I could never have the experience and seeing before because I spent that case in R and D. A beautiful. A lot of these no hot and competency, and I just work with the business world. But in the transformation office, we do nto way actually bridged to world together. So basically, for me it was a fantastic learning journey, and it's just empowerment and the trust I got from the awards executives and all Michael workers, I feel like that is probably >> the most a transformative decision I ever made. It's not just your shifting technology field with the technical world. I literally shift >> into a buy one hundred eighty degree to a difference by truck. But my job is to connect Tonto and stretch together, which is something that I feel has profound impact for the company. And I just love every minute of it. Oh, >> and I love that. That's that's a great story. And it sounds like what you're doing. You're just at the beginning of all of what? Your transformation. So I can't wait. You know you next year. Thank you. Every great thing that happened to the rest of twenty nineteen. Really? Thank you so much. >> Thank you so much for having me. My pleasure. Thanks. >> I'm Lisa Martin here, watching the Cube coming to you from women Transforming technology. Fourth annual BMO. Thanks for watching

Published Date : Apr 23 2019

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Brought to you by V. it's so great to have you on the program again. It's my pleasure and honor to be here. The energy, the excitement, the supports So the momentum in just four years that you guys are the best technology in the world, today was the evolution and the advancement So that means the creation of this. So having this event is part of our This is really changing the anywhere from within as well. Yes, this a change process has started quite a we believe in woman leadership. We're happy to have you back. Women care about the family, so, so, so so all the genders as Enter the work face and that's a glass is silly because is almost like a decade nowadays, right is moving in that quantum speed. we have done is basically we decided to create a Tara project. and that is something in some part of the world. So you fifteen thousand women this How long is the certification program that they Go in the next couple years, So in the beginning for the first quarter, The potential that has on you mentioned the involvement of women who could have been on the board there for quite a while some numbers with growth of that community alone is incredible. Wow, the momentum moment is very high. innovation and the community's oh gender to work together in India, make it a blossom in that region off the world, not just Costarica. It's also the opportunity for is something that will stay with that woman in that talent for walk. the very first Tara Certify Woman is a woman who co member, I was looking at the woman who could website just the other day, A lot of the kudos and credit go to them, So if we look at impact so far, the various impact that you talked about with and the forewoman who co we wanted basically be able to change the world way. So the job is really to unlock all this way. many, many levels of glass ceilings to get where you are tonight. But in the transformation office, we do nto way actually bridged to world the most a transformative decision I ever made. is to connect Tonto and stretch together, which is something that I feel has profound You're just at the beginning of all of what? Thank you so much for having me. I'm Lisa Martin here, watching the Cube coming to you from women Transforming technology.

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Dominique Jodoin, NoviFlow | Fortinet Accelerate 2019


 

>> Live from Orlando, Florida It's the que covering accelerate nineteen. Brought to you by important >> Welcome back to the Cube. Live from Orlando, Florida at Fortinet Accelerate twenty ninety nine. Lisa Martin Joining and welcoming to the queue for the first time, the CEO and president of Novy Flow. Dominique Jordan. Dominic. Great to have you joining on the Cube at accelerate. So here we are in Orlando, talking about all things cyber security. I just came from the keynote session where Fortinet was talking about how much they're innovating. What? How they're leading from a competitive perspective. What customers air saying why their security fabric is so differentiated? No, the flow is one of their security fabric ready partners. But before we talk about that, why don't you take a minute or two to describe to our audience who know the flow is and what you guys are doing in cybersecurity? >> Yeah, way We came in a little bit by accident. The cyber security. We we've been founded seven years ago, and the idea was to create the very programmable networks. It's very much in line with what we heard today on the keynote, and we became a technology leader in that field as the and software defined networking. And three, four years ago, customers started to use our product, obviously for cybersecurity application. We didn't even know about that. They don't necessarily tell us, and we spend a bit more focus into it. And over time we started to work with fortunate, for example. And now we have a developing. Is Greg relationship great solutions? Also for the for the customers. >> So one of the things that we understand from Fortinet and from all of the conversations that the Cube has globally is is that digital transformation is fundamental to every business to compete right. But as is secure transformation and security transformation, very challenging to do as businesses. And you think of any industry, financial services, retail, consumer packaged goods. As they expand digitally, so does the attack surface. So one of the things that fourteen it talks about is it's not enough anymore to have these point solutions pointed at different, you know, on Prem Cloud edge that the entire infrastructure as it's changing and they attacked services expanding has got to be protected more from an integrated perspective. This notion of the of the security fabric. Talk to us about a fabric ready partnership. What that means to know that though I know that's only in the last six months or so. So walk us through what you did to become a fabric ready partner and what it is that you in forging that are seeing in the market as challenges that you're helping to results. >> Yeah, what we see. Actually, I like to decide the defined that as a battlefield, the attacks are being waged, really, and and the band we feel is the networks of those carriers. There was a government agencies, large enterprise, etcetera, and those those companies are not really taking advantage of their position because, in fact, with the right network fabric the right tools to be able to react, they could actually be very much more powerful. So this is where we are working with forty nine to equip those customers with solutions that are much more agile, more programmable because the network is also evolving. It's not only that the attacks are broader, they also changing the nature of it is changing, and the fact that we came from a background of working at the edge of the networks mostly. Well, I wouldn't mention that before we deployed. Typically at the large tier one carriers all around the world are mentioned. A few tell Strike group, wait deployed at the Hutchison Group Young law, etcetera. And also a two of these five eyes. So government agencies that are engage in fighting these attacks. So So we come with a background of working in a decentralized approach anyway, So it was a very natural evolution. Work was done with Fortinet so far. So what we built so far together we built some integrated solutions s So far, we have two solutions that we are demonstrating two customers. The first one is to allow the large. It tends to be the larger customer fortunate that are making the transition from a in existing appliance to virtual eyes solutions. That's an area where we are very effective at helping them to scale. And those would be for customers that would have say, hundred gig of traffic or more. So we're fortunate we built a and undermanned solution. It's an integrated solution that enables those carriers to are. Those customers could be other kind of customers to gradually grow the number of the EMS that are used in real time for doing whatever Sabbath security job they have to do. And if they the demand comes down, these v EMS were released in the customer data centers. To do some other jobs like this is one of the products that we built together, and we are demonstrating. The second one is a. A feature of that is that we can process about the way this is Ah is able to scale all the way up to six point five terra bits per second. I'Ll repeat that six point five terror bits per second. This is a unheard of and this is, I think one of the interests of Fortinet is working with no visible. We already have developed not really the metal ring system, but all the O. N m features that you demand as a customer to be deployed in the real world. So so that's that. That's the base on. The second option is that we developed is a carry Great Nat again. Same idea. We can scale the Terra great net analysis up to one point six terabit per second. Former, very powerful. They're powerful solutions to meet this this raising the man which you talked about? They say this literally a wave of attacks coming more and more. >> So you mentioned some customers by name. Telstra, for example. CEO to CEO conversations tells, has been around for a long time as the organization expands digitally. And we talked about a minute ago as this the attack surface. What are some of the conversations that you're having with the scene? The C suite about security? It's not just talking to, you know, network security admits. Right? What are those conversations that you're having with the CEO in the C suite that are where they're saying these are my business problems? Dominic, help us solve these problems. >> Well, it comes to two words, basically its scale and are slow flexibility. It comes to that simple. Is this so they are struggling to see how they can cope with the especially the ones that are virtual izing because you end up. Imagine the model is that you go from a very powerful appliance and once you virtual eyes this appliance, you might end up with thirty different servers, you know, running in parallel, you have to have low balancers in front of it. That makes for a very complex and very expensive solution. So that's that's are they searching for? How can we reduce the complexity, for example, one of the advantages of our product working side by side with fortunate. Since we worked at six point five terabytes per second, we do some of the pre processing of the traffic before it hits the virtualized solution forty gate, for example. We have built some blacklist white list we can do also the load balancing. No need to install some additional law balancing can have. That is a kind of a black box I get that does all the required feature to increase the scaling off those those combined solution and the second, the second party flexibility. You got to be able to evolves your solution in time as these attacks are revolving now or product is built from bottom up, and it's built on and infrastructure typically white boxes that are running chips that are programmable by us. So the software, the NASA's it's Gone, is complemented by some very easy to use porting layers if you like. So the Fortinet solution could be easily adapted to this platform and And that's how we can achieve this kind of throughput. And in fact, I will tell to your viewers that we already have built live demos of those solutions in the Sofia anti police lab in France. The labs of Fortinet, Where were you? We're doing demos for the for customers of those solutions. >> So I'MA tell Stir, though, and you said speed and flexibility scale rather the other sailor disability scale. Inflexibility. What are some? How does my business? What am I looking to achieve? A. My looking to scale to x number of users X number of regions. How does how is that measured from, say, a Telstra's perspective as a big business impact that Novy Flow and Fortinet are helping to them to achieve? >> Yeah, the It's really all dimensions way have some challenge just by handling the raw volume of traffics. Sometimes some customers are pumping terra bits of traffic between one country and the other, so that's one. And but it's also geography because your attack and come and any anywhere in your network that the periphery or inside your network so you have to be able to in a centralized away once you detect there's an attack you have to be able to respondent and in some time, and that's how we can do with our programmable infrastructure can actually reprogrammed those air routing tables. You can take some mitigation action, for example, some of some of the bad traffic on the blacklist. If you've looked at it, perhaps you could put it on a white list for serpent of time. Don't don't look at it over and over. Just wait, maybe a little bit those kind of off measures to alleviate the load. So, in fact, it's work more intelligently with the raw volume of traffic that comes to you. So this is one of the real advantage of is the end. So after defined networking applied to a cyber security problem, >> what are some of the other industries that you are seeing that have potential to dramatically benefit from suffer to find networking in cyber security? Knowing that he d threat landscape, it is exponentially growing. Yes, we've got tools like a I and Machine Learning, which we'LL talk about later on the program today with respective forty Gar labs, for example. But of course, so do the attackers have access to utilize artificial intelligence to create even smarter attacks. But from your perspective, what are some of the other industries that are really right to take advantage of SGN and cyber security practices? >> You know, I think all industries are moving to data. There's no exception. I was talking to some guy, an interpreter in Montreuil yesterday's doing farming, but it's high tech farming with several earlier. It's all based on a I. It's all based on data, even those industry that the forming industry thing that may be so every industry will rely on data, and that means it will rely on a network, and it all comes down to the network. You gotta be able to build a cyber security network ready fabric from the bottom up so that your network is one of the key features is actually stop the attacks, and that doesn't matter in which industry you are. I think they you can think about the industry where you have vast volumes of data. They will be most likely the first one to take benefit of these. You know, we talk about countries before, and this is one such an industry, but it certainly where you process the vast amount of traffic. So they taking advantage of our technology, for example. And but I think it will be probably most of the industry will be affected by that shorter later >> and hopefully sooner rather than later, considering how fast all of these opportunities, good and bad, are growing. One of the things sporting that talked a lot about this morning during this section and some of the press releases is this growth that they've experienced growing twenty percent year on year from last year one point eight billion in revenue over three hundred eighty five thousand customers. You're one of the fabric ready partners, of which there are fifty seven. So a lot of growth, a lot of potential. What excites you as the head of no be Flo and your recent and developing partnership with Fortinet for twenty nineteen and beyond were gonna latch onto that growth trajectory. >> Absolute well, you know, when you mentioned high volume of traffic that plays to our cards. So the market is actually coming where we are way have our product runs at six for five terabytes per second, and that's today because we have a *** plans to move to twelve Tara bits and so forth. So for us, it's exciting because we feel we have the right scaling platform and the right program ability. So our customers, fortunate customers together with us can start with the existing. They're powerful platform. But should that evolved, they'LL be able to move to a new level of software new capacity gradually over time. So that's very exciting for us. >> But what about some of the announcements that came out this morning? Over three hundred new features added, for example, that's a tremendous amount of innovation since last year's accelerate. >> Yeah, well, the's features needs also have the right, I would say filtered level of data to be able to do it more efficiently. And that's where we commend we're not inside the subway Security company. We are really complimenting the product of forty nine by playing upstream and doing a pre filtering controlled by the policy management of the Fortunate, the equipment but nevertheless taking up some of the load of it so that the equipment could be more efficient. But just as an example, I read in a magazine a couple days ago that Google is building a A two hundred fifty terabyte cable between North America and Europe. Think about that. It's it's mindboggling is three time Library of Congress per second. And those are the kind of volume of data did you see coming so suddenly? Six point five terabytes per second doesn't sound so big, does it? But in fact, that's the world win today, and we're lucky it may be flow. We invested early on in the software layer that runs on top of these extremely powerful white boxes and were taking advantage of it with Fortinet. >> Gotta deliver that scale, that flexibility and his son's more and more like Speed. Dominic, thank you so much for stopping by the Cuban joining me on the program today, talking about Novy float what you're doing with Fortinet and what excites you about the year ahead >> was a pleasure, Liza. Thank you for >> mine as well. I want to thank you for watching the Cube Lisa Martin live on the Cube from Fortinet Accelerate twenty nineteen in Orlando. Thanks for watching

Published Date : Apr 9 2019

SUMMARY :

Brought to you by important Great to have you joining on the Cube leader in that field as the and software defined networking. So one of the things that fourteen it talks about is it's not enough anymore to have really the metal ring system, but all the O. N m features that you demand What are some of the conversations That is a kind of a black box I get that does all the required impact that Novy Flow and Fortinet are helping to them to achieve? for example, some of some of the bad traffic on the blacklist. But of course, so do the attackers have access to utilize artificial intelligence to create one of the key features is actually stop the attacks, and that doesn't matter in which industry you are. One of the things sporting that talked a lot about this morning during this section and some So the market is actually coming where we are way have our product But what about some of the announcements that came out this morning? But in fact, that's the world win today, and we're lucky it may be flow. with Fortinet and what excites you about the year ahead I want to thank you for watching the Cube Lisa Martin live on the Cube from Fortinet

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StrongyByScience Podcast | Bill Schmarzo Part One


 

produced from the cube studios this is strong by science in-depth conversations about science based training sports performance and all things health and wellness here's your host max smart [Music] [Applause] [Music] all right thank you guys tune in today I have the one and only Dean of big data the man the myth the legend bill Schwarz oh also my dad is the CTO of Hitachi van Tara and IOC in analytics he has a very interesting background because he is the well he's known as the Dean of big data but also the king of the court and all things basketball related when it comes to our household and unlike most people in the data world and I want to say most as an umbrella term but a some big bill has an illustrious sports career playing at Coe College the Harvard of the Midwest my alma mater as well but I think having that background of not just being computer science but where you have multiple disciplines involved when it comes to your jazz career you had basketball career you have obviously the career Iran now all that plays a huge role in being able to interpret and take multiple domains and put it into one so thank you for being here dad yeah thanks max that's a great introduction I rep reciate that no it's it's wonderful to have you and for our listeners who are not aware bill is referring him is Bill like my dad but I call my dad the whole time is gonna drive me crazy bill has a mind that thinks not like most so he he sees things he thinks about it not just in terms of the single I guess trajectory that could be taken but the multiple domains that can go so both vertically and horizontally and when we talk about data data is something so commonly brought up in sports so commonly drop in performance and athletic development big data is probably one of the biggest guess catchphrases or hot words or sayings that people have nowadays but doesn't always have a lot of meaning to it because a lot of times we get the word big data and then we don't have action out of big data and bill specialty is not just big data but it's giving action out of big data with that going forward I think a lot of this talk to be talking about how to utilize Big Data how do you guys data in general how to organize it how to put yourself in a situation to get actionable insights and so just to start it off Becky talked a little bit on your background some of the things you've done and how you develop the insights that you have thanks max I have kind of a very nos a deep background but I've been doing data analytics a long time and I was very fortunate one of those you know Forrest Gump moments in life where in the late 1980s I was involved in a project at Procter & Gamble I ran the project where we brought in Walmart's point of sales data for the first time into a what we would now call a data warehouse and for many of this became the launching point of the data warehouse bi marketplace and we can trace the effect the origins of many of the BI players to that project at Procter & Gamble in 87 and 88 and I spent a big chunk of my life just a big believer in business intelligence and data warehousing and trying to amass data together and trying to use that data to report on what's going on and writing insights and I did that for 20 25 years of my life until as you probably remember max I was recruited out Business Objects where I was the vice president of analytic applications I was recruited out of there by Yahoo and Yahoo had a very interesting problem which is they needed to build analytics for their advertisers to help those advertisers to optimize or spend across the Yahoo ad network and what I learned there in fact what I unlearned there was that everything that I had learned about bi and data warehouse and how you constructed data warehouses how you were so schema centric how everything was evolved around tabular data at Yahoo there was an entirely different approach the of my first introduction to Hadoop and the concept of a data Lake that was my first real introduction into data science and how to do predictive analytics and prescriptive analytics and in fact it was it was such a huge change for me that I was I was asked to come back to the TD WI data world Institute right was teaching for many years and I was asked to do a keynote after being at Yahoo for a year or so to share sort of what were the observations what did I learn and I remember I stood up there in front of about 600 people and I started my presentation by saying everything I've taught you the past 20 years is wrong and it was well I didn't get invited back for 10 years so that probably tells you something but it was really about unlearning a lot about what I had learned before and probably max one of the things that was most one of the aha moments for me was bi was very focused on understanding the questions that people were trying to ask an answer davus science is about us to understand the decisions they're trying to take action on questions by their very nature our informative but decisions are actionable and so what we did at Yahoo in order to really drive the help our advertisers optimize your spend across the Yahoo ad network is we focus on identifying the decisions the media planners and buyers and the campaign managers had to make around running a campaign know what what how much money to allocate to what sides how much how many conversions do I want how many impressions do I want so all the decisions we built predictive analytics around so that we can deliver prescriptive actions to these two classes of stakeholders the media planners and buyers and the campaign managers who had no aspirations about being analysts they're trying to be the best digital marketing executives or you know or people they could possibly be they didn't want to be analysts so and that sort of leads me to where I am today and my my teaching my books my blogs everything I do is very much around how do we take data and analytics and help organizations become more effective so everything I've done since then the books I've written the teaching I do with University of San Francisco and next week at the National University of Ireland and Galway and all the clients I work with is really how do we take data and analytics and help organizations become more effective at driving the decisions that optimize their business and their operational models it's really about decisions and how do we leverage data and analytics to drive those decisions so what would how would you define the difference between a question that someone's trying to answer versus a decision but they're trying to be better informed on so here's what I'd put it I call it the Sam test I am and that is it strategic is it actionable is it material and so you can ask questions that are provocative but you might not fast questions that are strategic to the problems you're trying to solve you may not be able to ask questions that are actionable in a sense you know what to do and you don't necessarily ask questions that are material in the sense that the value of that question is greater than the cost of answering that question right and so if I think about the Sam test when I apply it to data science and decisions when I start mining the data so I know what decisions are most important I'm going through a process to identify to validate the value and prioritize those decisions right I understand what decisions are most important now when I start to dig through the data all this structured unstructured data across a number different data sources I'm looking for I'm trying to codify patterns and relationships buried in that data and I'm applying the Sam test is that against those insights is it strategic to the problem I'm trying to solve can I actually act on it and is it material in the sense that it's it's it's more valuable to act than it is to create the action around it so that's the to me that big difference is by their very nature decisions are actually trying to make a decision I'm going to take an action questions by their nature are informative interesting they could be very provocative you know questions have an important role but ultimately questions do not necessarily lead to actions so if I'm a a sport coach I'm writing a professional basketball team some of the decisions I'm trying to make are I'm deciding on what program best develops my players what metrics will help me decide who the best prospect is is that the right way of looking at it yeah so we did an exercise at at USF too to have the students go through an exercise - what question what decisions does Steve Kerr need to make over the next two games he's playing right and we go through an exercise of the identifying especially in game decisions exercise routes oh no how often are you gonna play somebody no how long are they gonna play what are the right combinations what are the kind of offensive plays that you're gonna try to run so there's a know a bunch of decisions that Steve Kerr is coach of the Warriors for example needs to make in the game to not only try to win the game but to also minimize wear and tear on his players and by the way that's a really good point to think about the decisions good decisions are always a conflict of other ideas right win the game while minimizing wear and tear on my players right there's there are there are all the important decisions in life have two three or four different variables that may not be exactly the same which is by this is where data science comes in the data science is going to look across those three or four very other metrics against what you're going to measure success and try to figure out what's the right balance of those given the situation I'm in so if going back to the decision about about playing time well think about all the data you might want to look at in order to optimize that so when's the next game how far are they in this in this in the season where do they currently sit ranking wise how many minutes per game has player X been playing looking over the past few years what's there you know what's their maximum point so there's there's a there's not a lot of decisions that people are trying to make and by the way the beauty of the decisions is the decisions really haven't changed in years right what's changed is not the decisions it's the answers and the answers have changed because we have this great bound of data available to us in game performance health data you know all DNA data all kinds of other data and then we have all these great advanced analytic techniques now neural networks and unstructured supervised machine learning on right all this great technology now that can help us to uncover those relationships and patterns that are buried in the data that we can use to help individualize those decisions one last point there the point there to me at the end when when people talk about Big Data they get fixated on the big part the volume part it's not the volume of big data that I'm going to monetize it's the granularity and what I mean by that is I now have the ability to build very detailed profiles going back to our basketball example I can build a very detailed performance profile on every one of my players so for every one of the players on the Warriors team I can build a very detailed profile it the details out you know what's their optimal playing time you know how much time should they spend before a break on the feet on the on the on the court right what are the right combinations of players in order to generate the most offense or the best defense I can build these very detailed individual profiles and then I can start mission together to find the right combination so when we talk about big it's not the volume it's interesting it's the granularity gotcha and what's interesting from my world is so when you're dealing with marketing and business a lot of that when you're developing whether it be a company that you're trying to find more out about your customers or your startup trying to learn about what product you should develop there's tons of unknowns and a lot of big data from my understanding it can help you better understand some patterns within customers how to market you know in your book you talk about oh we need to increase sales at Chipotle because we understand X Y & Z our current around us now in the sports science world we have our friend called science and science has helped us early identify certain metrics that are very important and correlated to different physiological outcomes so it almost gives us a shortcut because in the big data world especially when you're dealing with the data that you guys are dealing with and trying to understand customer decisions each customer is individual and you're trying to compile all together to find patterns no one's doing science on that right it's not like a lab work where someone is understanding muscle protein synthesis and the amount of nutrients you need to recover from it so in my position I have all these pillars that maybe exist already where I can begin my search there's still a bunch of unknowns with that kind of environment do you take a different approach or do you still go with the I guess large encompassing and collect everything you can and siphon after maybe I'm totally wrong I'll let you take it away no that's it's a it's a good question and what's interesting about that max is that the human body is governed by a series of laws we'll say in each me see ology and the things you've talked about physics they have laws humans as buyers you know shoppers travelers we have propensity x' we don't have laws right I have a propensity that I'm gonna try to fly United because I get easier upgrades but I might fly you know Southwest because of schedule or convenience right I have propensity x' I don't have laws so you have laws that work to your advantage what's interesting about laws that they start going into the world of IOT and this concept called digital twins they're governed by laws of physics I have a compressor or a chiller or an engine and it's got a bunch of components in it that have been engineered together and I can actually apply the laws I can actually run simulations against my digital twins to understand exactly when is something likely to break what's the remaining useful life in that product what's the severity of the the maintenance I need to do on that so the human body unlike the human psyche is governed by laws human behaviors are really hard right and we move the las vegas is built on the fact that human behaviors are so flawed but body mate but bat body physics like the physics that run these devices you can actually build models and one simulation to figure out exactly how you know what's the wear and tear and what's the extensibility of what you can operate in gotcha yeah so that's when from our world you start looking at subsystems and you say okay this is your muscular system this is your autonomic nervous system this is your central nervous system these are ways that we can begin to measure it and then we can wrote a blog on this that's a stress response model where you understand these systems and their inferences for the most part and then you apply a stress and you see how the body responds and even you determine okay well if I know the body I can only respond in a certain number of ways it's either compensatory it's gonna be you know returning to baseline and by the mal adaptation but there's only so many ways when you look at a cell at the individual level that that cell can actually respond and it's the aggregation of all these cellular responses that end up and manifest in a change in a subsystem and that subsystem can be measured inferential II through certain technology that we have but I also think at the same time we make a huge leap and that leap is the word inference right we're making an assumption and sometimes those assumptions are very dangerous and they lead to because that assumptions unknown and we're wrong on it then we kind of sway and missed a little bit on our whole projection so I like the idea of looking at patterns and look at the probabilistic nature of it and I'm actually kind of recently change my view a little bit from my room first I talked about this I was much more hardwired and laws but I think it's a law but maybe a law with some level of variation or standard deviation and it we have guardrails instead so that's kind of how I think about it personally is that something that you say that's on the right track for that or how would you approach it yeah actually there's a lot of similarities max so your description of the human body made up of subsystems when we talk to organizations about things like smart cities or smart malls or smart hospitals a smart city is comprised of a it's made up of a series of subsystems right I've got subsystems regarding water and wastewater traffic safety you know local development things like this look there's a bunch of subsystems that make a city work and each of those subsystems is comprised of a series of decisions or clusters of decisions with equal use cases around what you're trying to optimize so if I'm trying to improve traffic flow if one of my subsystems is practically flow there are a bunch of use cases there about where do I do maintenance where do I expand the roads you know where do I put HOV lanes right so and so you start taking apart the smart city into the subsystems and then know the subsystems are comprised of use cases that puts you into really good position now here's something we did recently with a client who is trying to think about building the theme park of the future and how do we make certain that we really have a holistic view of the use cases that I need to go after it's really easy to identify the use cases within your own four walls but digital transformation in particular happens outside the four walls of an organization and so what we what we're doing is a process where we're building journey maps for all their key stakeholders so you've got a journey map for a customer you have a journey map for operations you have a journey map for partners and such so you you build these journey maps and you start thinking about for example I'm a theme park and at some point in time my guest / customer is going to have a pity they want to go do something you want to go on vacation at that point in time that theme park is competing against not only all the other theme parks but it's competing against major league baseball who's got things it's competing against you know going to the beach in Sanibel Island just hanging around right there they're competing at that point and if they only start engaging the customer when the customers actually contacted them they must a huge part of the market they made you miss a huge chance to influence that person's agenda and so one of the things that think about I don't know how this applies to your space max but as we started thinking about smart entities we use design thinking and customer journey match there's a way to make certain that we're not fooling ourselves by only looking within the four walls of our organization that we're knocking those walls down making them very forest and we're looking at what happens before somebody engages it with us and even afterwards so again going back to the theme park example once they leave the theme park they're probably posting on social media what kind of fun they had or fun they didn't have they're probably making plans for next year they're talking to friends and other things so there's there's a bunch of stuff we're gonna call it afterglow that happens after event that you want to make certain that you're in part of influencing that so again I don't know how when you combined the data science of use cases and decisions with design thinking of journey Maps what that might mean to do that your business but for us in thinking about smart cities it's opened up all kinds of possibilities and most importantly for our customers it's opened up all kinds of new areas where they can create new sources of value so anyone listening to this need to understand that when the word client or customer is used it can be substituted for athlete and what I think is really important is that when we hear you talk about your the the amount of infrastructure you do for an idea when you approach a situation is something that sports science for in my opinion especially across multiple domains it's truly lacking what happens is we get a piece of technology and someone says go do science while you're taking the approach of let's actually think out what we're doing beforehand let's determine our key performance indicators let's understand maybe the journey that this piece of technology is going to take with the athlete or how the athletes going to interact with this piece of technology throughout their four years if you're in the private sector right that afterglow effect might be something that you refer to as a client retention and their ability to come back over and over and spread your own word for you if you're in the sector with student athletes maybe it's those athletes talking highly about your program to help with recruiting and understanding that developing athletes is going to help you know make that college more enticing to go to or that program or that organization but what really stood out was the fact that you have this infrastructure built beforehand and the example I give I spoke with a good number of organizations and teams about data utilization is that if if you're to all of a sudden be dropped in the middle of the woods and someone says go build a cabin now how was it a giant forest I could use as much wood as I want I could just keep chopping down trees until I had something that had with a shelter of some sort right even I could probably do that well if someone said you know what you have three trees to cut down to make a cabin you could become very efficient and you're going to think about each chop in each piece of wood and how it's going to be used and your interaction with that wood and conjunction with that woods interaction with yourself and so when we start looking at athlete development and we're looking at client retention or we're looking at general health and wellness it's not just oh this is a great idea right we want to make the world's greatest theme park and we want to make the world's greatest training facility but what infrastructure and steps you need to take and you said stakeholders so what individuals am i working with am I talking with the physical therapist am i talking with the athletic trainer am I talking with the skill coach how does the skill coach want the data presented to them maybe that's different than how the athletic trainer is going to have a day to present it to them maybe the sport coach doesn't want to see the data unless something a red flag comes up so now you have all these different entities just like how you're talking about developing this customer journey throughout the theme park and making sure that they have a you know an experience that's memorable and causes an afterglow and really gives that experience meaning how can we now take data and apply it in the same way so we get the most value like you said on the granular aspect of data and really turn that into something valuable max you said something really important and one of the things that let me share one of many horror stories that that that comes up in my daily life which is somebody walking up to me and saying hey I got a client here's their data you know go do some science on it like well well what the heck right so when we created this thing called the hypothesis development canvas our sales teams hate it or do the time our data science teams love it because we do all this pre work we just say we make sure we understand the problem we're going after the decision they're trying to make the KPI is it's what you're going to measure success in progress what are they the operational and financial business benefits what are the data sources we want to consider here's something by the way that's it's important that maybe I wish Boeing would have thought more about which is what are the costs of false positives and false negatives right do you really understand where your risks points are and the reason why false positive and false negatives are really important in data science because data size is making predictions and by virtue of making predictions we are never 100% certain that's right or not predictions hath me built on I'm good enough well when is good enough good enough and a lot of that determination as to when is good enough good enough is really around the cost of false positives and false negatives think about a professional athlete like the false the you know the ramifications of overtraining professional athlete like a Kevin Durant or Steph Curry and they're out for the playoffs as huge financial implications them personally and for the organization so you really need to make sure you understand exactly what's the cost of being wrong and so this hypothesis development canvas is we do a lot of this work before we ever put science to the data that yeah it's it's something that's lacking across not just sports science but many fields and what I mean by that is especially you referred to the hypothesis canvas it's a piece of paper that provides a common language right it's you can sit it out before and for listeners who aren't aware a hypothesis canvas is something bill has worked and developed with his team and it's about 13 different squares and boxes and you can manipulate it based on your own profession and what you're diving into but essentially it goes through the infrastructure that you need to have setup in order for this hypothesis or idea or decision to actually be worth a damn and what I mean by that is that so many times and I hate this but I'm gonna go in a little bit of a rant and I apologize that people think oh I get an idea and they think Thomas Edison all son just had an idea and he made a light bulb Thomas Edison's famous for saying you know I did you know make a light bulb I learned was a 9000 ways to not make a light bulb and what I mean by that is he set an environment that allowed for failure and allowed for learning but what happens often people think oh I have an idea they think the idea comes not just you know in a flash because it always doesn't it might come from some research but they also believe that it comes with legs and it comes with the infrastructure supported around it that's kind of the same way that I see a lot of the data aspect going in regards to our field is that we did an idea we immediately implement and we hope it works as opposed to set up a learning environment that allows you to go okay here's what I think might happen here's my hypothesis here's I'm going to apply it and now if I fail because I have the infrastructure pre mapped out I can look at my infrastructure and say you know what that support beam or that individual box itself was the weak link and we made a mistake here but we can go back and fix it

Published Date : Mar 25 2019

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Mohit Aron, Cohesity | CUBEConversation, February 2019


 

>> Welcome to the Special Cube conversation. We're here in Palo Alto, California Cube headquarters. I'm John for a host of the Cube were Mohit parents, founder and CEO of Cohesive Serial entrepreneur. Successful Distribute computing, phD, computer science. Welcome to the Cube. Thanks for having me here. So thanks for coming. You guys been very successful. You found the couple in twenty thirteen. Great traction. Great success, Great technology. What's the vision of Cohee City? >> Let me first start by describing the problem. And then I'll go under describing the vision. The problem in a nutshell, is ah what we call mass data fragmentation. It refers to the fact that everything sets in silos, whether it's the sender or whether it's the cloud All our data sets in silos in appliances. Just expect all across the whole universe. And our vision is to basically consolidate that onto one platform I The easiest way to understand our vision is to look at it. What a smartphone that in the consumer space before the smartphone came the all used to carry multiple devices, right? Phone, music, player, camera, and so on. So forth. Uh, the smartphone came. It put all of those on one platform gave us a single U I to manage it all, um, gave us the notion ofthe marketplace from where we could download maps and run on this platform and gave us machine learning. Our vision is something very similar for the world of leader in the world. That data is the most valuable resource today in the world, much more so than oil. And he had the infrastructure. Where we put that data is very fragmented. Let's look at the ladies under backups is one silo probably bought from different renders test. And there was another side of analytics is another one five chairs and object storage is another one. Our vision is is to put all of that on one platform, make it very simple. Make that platform span the data center and the cloud manager using one us bring machine learning concepts to it and at a market place from where people >> could, you know, the smart phones. A good analogy. I like that because you had a market where they made devices to make phone calls and then text messaging. Beak was like killer half of the time. But having the computer enable the whole new class of services functionality, usability and capability and that that iPhone was a seminal moment There. You see, the same thing in Tech right now with Cloud Cloud has changed again. Seeing cloud be successful. Scale is a huge thing. So functionality, new kinds of functionality and large scales with cloud computing has proven. And APS have come around that. So I gotta ask you, you know, backup has been in category that has been dominated. Public offerings dated domain, but the list is endless of great companies built great backup solutions or a K phones. And I think that's what you're getting at the phones is the backup. You guys are building new functions. I want to explain the reels, um, capabilities that's going to come out of the data because if you have data being backed up, you're touching the data. So if you built a platform for scale, it seems that you guys have talked about that product. What is the unique thinking behind it? How did you come to it? And what are some of the examples? >> Yeah, so let's start one step at a time. So, uh, even though it's a platform that can do multiple things just like the smartphone had to be a great phone to begin with. This is a great backup product to begin with. And once we've solved the back a problem for the customer, then we encouraged them to do more on this may be to file shares, baby to object storage. Maybe start using the clouds and sunset. The next thing you'LL say that. Imagine you will work on that data. So you've ingested some data using backups and you want to get some insights from that data today? What you're forced to do is you probably have to copy that data out into another side of creating one more fragment. One more copy of the data. Why not move APS to the data? But other than dated adapts. So our whole concept is that take this platform and take whatever happened. You wanted to run outside off this just running on this platform and thereby you're moving APS to the data. Not the dinner, perhaps moving their eyes. Heart. It is. Ah, is big moving abscess. Easy. So and that's what the hell is this about On That's the platform. That's the capability of the platform. It's a distributed platform. Let's you're on APS close to where that it is. That's the underlying a lot of >> people say I remember we're going back a couple years now talking about Cloud or once I want to be like Google. I want to be like Amazon because they were offering at large scale using open source software. You can. You were lead engineer on Google file system, so you know a lot about scale. But a lot of people wanted the scale and functionality of Google, but they wanted the ease of use of Apple. And I've heard you mentioned that when were before we came on. So this is actually an interesting dynamic. But not everyone's like, Oh, but they have now data scaling similar challenges that Google has one song or another's large scale. Talk about that dynamic because you're changing the game on backup did since you touching the data, you're going to make that more valuable beyond just backing up. And this the concept of moving absolute data talkabout this dynamic of scale, functionality and ease of use because if you're doing all the work with the data, why not extend that out? This is essentially what you're doing. Can you explain that? >> Yeah. I think about the problems that Google would have if they were dealing with lots and lots of fragments of data. If everything was studying in a different appliance, Uh, with the volume of data that day deal that they'LL just be going knots pulling their hair all day long, right? So they built a web scale system that was sort of like a single platform. I was fortunate to be part ofthe some of those technologies, like the Google file system. So they built that Web scale file system to make it look like make all of that look like one platform. And now that it was one platform, they could move the APP store. And we're basically trying tow do something similar to the realm ofthe second reader naps. Because we have lots and lots of data here today. It sets and silos be the backups or passed on diver filers, Object storage. We're gonna build one big platform that scales out in a Google like fashion which can be managed very simply, using one you Iike an apple like manageability. And with this concept, we become very similar to those hyper skill er's, and we bring some of the same innovations to people out there. I >> want to share a common e we were talking about before we came on camera. You were just preferred something. You said I'd like to solve one problem at a time and then move on. But what's interesting here? Competitive strategy wise, you're solving the backup problem. But why you got your hands on the data? You're actually going to re imagine the usability of that data. So you're essentially adding value to a basic function back up, putting a platform around and extending that out, perhaps to come to it. And it's kind >> of a >> land grab that's working. This is a unique It's a different way to think about, Is that right? >> So I like to say that we like the master's off one trade at a time, nor Jack of all trades, uh, and that first trade for us that we would be masters off his backups once we're happy there. Then we can go on and focus on, you know, maybe filers or object storage. And this is how we build the platform right eye. I always say that when you architect a system, you have to think about all this from day one. You can't incrementally at patches and expect the system to grow right. I sometimes draw an analogy between why Google won the war against Yahoo. Google, Tara, Phil are all as a platform there. Thought about all the use cases they'd be, you know, putting on the platform. Yeah, who just build something that was good for search. Didn't think beyond that. That's why they you know about a bunch of naps. And >> that's where they saw it and thought of >> the Google file system and then YouTube on top and Gmail on top and blah, blah, blah. No. So I was the same approach. We've talked about the problem and the problem off. The problem We want to address mastered a recommendation up front, and our system has bean architected to solve that. Even if we start by being masters of backups first, the system has been architected tto do way more than that. >> So it be safe to say that cohesive from a software core competency standpoint is distributed computing core competence or disputed systems large scale from a computer science, you know standpoint and then data. So expertise are those two is intact. >> Yes. Oh, distributed computing and distributed file systems. Those would be there to core competencies. But then again, depending on like whether it's backups or its testing, that their competences of within those domains. >> So I want to get into the private tech. First of all, thanks for saying you have responded to that. The product text. Phenomenal. You have platform can do multiple things. I want to talk about span F S on Spann Os. You have some news. You've got something share on overview of what that is and what the new news is. >> So when you're trying to control on manage of lots and lots of data, you better have a distributed file system. So we built one, and we call it Spanish Fast. The name comes from the fact that it's supposed to span nodes in the very center that's supposed to span multiple kinds of storage in the data center. It's supposed to span the data center and your multi cloud environment, their hands the names pan a fast, But since we were building it like a platform, that's not just there for your data. It also runs apse on top off this platform. Uh, the span of fast is not enough. It becomes full scale us, if you may want to call it. What? So where's it has a file system and it has the ability to run laps on the file system, and the same ability was built here. And the name's patter well, so we can store data, but we can also naps close to that >> and with multi cloud on the horizon are actually president today. A lot of people use multiple clouds, and certainly Salesforce's considered cloud you got Amazon. So especially this moment clouds of existing today in the Enterprise, the coordinated all but hybrid and and these things they're going on. Premise. It's cloud operations. This becomes an important part of the distributed environments that need to be managed. Talk about the impact of multi cloud in today's world because it's a systems thinking. You gotta think about it from day one, which is kind of today. I got on premise. I got multiple clouds out there, and some clouds or great, depending on the workload, picked the cloud for the workload. I'm a big believer in that. Your thoughts, though, on as people tried to get their arms around this and make it, you know, one environment with a lot of decoupled elements that are highly cohesive. Talk about that dynamic. >> Yeah. So Cloud is a very, um, nice entrant into the infrastructure world. It provides a lot ofthe functionality, but it doesn't quite solve that problem off massive fragmentation. When you put your dinner in the cloud, it's still fragmented. And when you're dealing with, often our customers are big. Customers are dealing with multiple clouds and the data centers, and they have dedicated people trying to move data and applications between them. That's the problem that Cohee City can actually solve very well, because we're building a platform that spans all this. Um, all of that becomes underlying infrastructure that we use. And now through us, they can easily move APS. They could easily move data. They can access the data anywhere. That's the value we been to them. We have a customer here in California, and that was spending, uh, hundred twenty thousand dollars per month. It's a new company, uh, one hundred one hundred twenty thousand dollars per month on the eight of us both after they consolidated that stuff threw us in the cloud, their ability used to seventeen thousand dollars per month. That's the kind of value we can bring. The customers >> well, the Amazon Dana. It's interesting cause you got storage and you got E C two of the compute you need compute to manage towards so against. Not just storage. That's the cost. It's it's data is driving the economics. That's where you're getting it. >> Yeah, So I think data and storage and compute go together as I'm a big fan off hyper convergence, which me, along with the rest of my team Edna tonics. And Monday it's gonna doing multiple things on the side I'm back from. And you can't do that without storage and compute both working in tandem >> so consolidating with cohesive because I'll be using cohesive, he allows the better management lower costs on Amazon. >> That's right. That's right, because we store the data efficiently on Amazon, cutting the costs, and then you can run your raps on top. You don't have to copy out the data toe, run your wraps, you can actually land on the platform and all that saves costs. >> That's a great tidbit. Notes no to the audience out there. Great to tip their pro tip. Talk about the announcement you have now have APS coming out. You got three native cohesively absence. My word. I don't know. You guys call it Think Caps is going to the Alps and then for third party application developers. So again, this kind of teases out there beyond backup story, which is platform. What of the apse, Where this come from? What? Some of the reasons why they're being built. Can you share specifics on that news? >> This goes back to our analogy to a smartphone on one of the innovations the smartphone, brother. The world was the notion of a marketplace. You could go to the marketplace and down wrap. Some of the gaps are from the vendor who built the smartphone. Some of them are from third parties. So we are. And when the first iphone came out that I had basically five straight and then now there are millions of them. So what we have seeded the system with is we have, ah, a couple ofthe third party apse for in particular one a splunk that runs on the platform with in a container. One is from a company called Menace. One is actually two laps are anti virus absent. One vendor is scented. One when is clam? Maybe, um though that third party APS But then we've built some, um, APs from cohesively itself when his app called spotlight on the security app. One is an app called Insight searches through the data when his app called Easy Scripts allows our customers to upload scraps on drawing them from Go easy. So these are the apse that I'd be exceeded the system where were also announcing an SD came in just like your smartphone has a nasty cave. The world out there can go and use that and build ups on top if he would like people out there in the world. Third parties are partners to build ups and run on this bathroom >> so moment, what's their motivation behind the app system or functionality? As the demand grows, functionalities needed. So I'll see platforms should be enabling, so I get why APS could build on platforms. But what was the motivation that around the apse now just l of evolution capabilities? What's the thoughts >> It goes back to our philosophy that if you need to do something, you shouldn't buy one more silo to do it. You should be able to extend your existing platform and then do stuff. That's what your smartphone does. Uh, basically, even you, by your smartphone, it can be a phone, and I'm number for the things. But then you extended the functionality of that by downloading maps. It's the same motivation, you know, extend the abilities of this platform. Just download maps and then extended right. >> Give the value proposition pitch for the developers out there. Why would they want to develop on? Complicity is it is a certain kind of developer. What's the makeup of the target audience? Who would build on obesity? >> So all kinds of people we expect to build on this platform. So the value for our customers, for instance, now rather than, uh, copying the data out of this platform onto one more silo and that's very expensive, they can actually build a nap that runs on this platform so that they don't have to move the data around, and it's very, very simple. That's the value for our customers. For the developers out there. Uh, it's the same value that they get when they build an app on a smart phone. Uh, they building up some cash, but out there can download that app and the APP and then pay that developer some money so they don't have to build the whole company or the whole thing. Now they can build a nap that runs on cohesive. It's really simple for them. They get a cut of whatever the customer pays, so there's value all around. It's a ven ven for everyone >> it's not. And it's good business model, too good community going to get an ecosystem developing its a classic growth growth opportunity for you guys. Congratulate. So what a business you guys have talked about a couple quarters ago Publicly, about two million to million dollars run rate. Give us the update on the business in terms of growth. Employee headcount. Key milestones. Can you share? Seok was empty, >> so you know the momentum is phenomenal. We're very flattered by the fact that despite the fact that we're a young company we've been selling for more than three years, of seventy percent of our customers are enterprise customers. The big guys with lots and lots of data. Uh, some of the biggest banks in the world now use us. Some of the biggest credit card companies in the world use us. Uh, a lot of the secret of federal agencies. You, us? Um, uh, some of the public customers I convention Hyatt uses us. Ah, big financial. Northern Trust uses us the famous. Uh uh, you know, food chain. Wendy's uses us. So those are the names I can I can mention that are actually using and benefiting from cohesive. Um, so lots of lots of great stuff. Um, we had three hundred percent year over year growth in revenue. Our head count, actually, er this week crossed one thousand people. So we spoke to our chief people. Officer. We should mention our one thousand employees in a special way. So all that great stuff is happening. >> It's like walking through the door. All the bills go office because you guys were two hundred last year. About this time >> when you get back, we are about to enter. People's a factor of five growth and about one years phenomenal had come growth. >> Well, that's massive growth. How big is this guy's a real state growing and buy more office space. >> Yeah, well, uh, they're headquartered in a building and son who's a downtown. We start, but we got it. That building about when you're back, we only had two floors were really expanded toe like five floors now and looking toe, you know, rent more. We've also expanded to other locations. Geographically, we now have an office and rally. We have ah, uh in office and cork in Ireland. We already had an office in Bangalore. We setting one up in pony. We're setting one up in Toronto, So lots and lots of expansion worldwide. Not >> really looking good as well. I mean, let's think about the economics. >> So this is the time they're being in mustard and growth. That's looking phenomenal on DH. There's a path to profitability. Um uh, it all depends on you know, our economics and what the board decides on how and when we wanna charge towards profitability, we can get there. It's looks easy, but I think it's our productive ity off our sales reps looks phenomenal. On average, productively is very high, which basically means that you know, we can get to profitability fairly quickly. If you want. >> We're going to say, very impressed with the growth and impressed that you go out on the road, talk to customers closing business. That's sign of a great CEO. Always make sure the customers are happy. >> Um, eventually, that sort of companies about a happy employees and be happy customers. Uh, and my job is to see you is to make sure what happened >> before we get in Some of the questions I have from the community. I prepare because people want knew you were coming on. I want to ask you about entrepreneurship in your journey. You've had quite the career Google image in that nutanix. And now here, >> Look at look at >> today's environment. I mean, it was a lot of talk about how entrepreneurship changed and starting a company, you know, you got a rocket ship, so you had a lot people coming on Now from the your journey you're on now. But a lot of other offers out there right now, kind of like looking transition. People say tech is bad, not good for society. Seen bad, negative press in their entrepreneurship is a great opportunity right now in tech. What's your thoughts on the current landscape and opportunities for, you know, folks out there building new things and going in solving a problem from old market and reimagining it for the new. Because a lot of new going on seeing a new sea change with cloud. And on premise, >> I would say, Um, this is probably the best time to do a company then ever in the past because technology is there to help people. Young entrepreneurs. Uh, there's plenty of money to be raised from the sea. Species are very happy to be helping. End of news a couple of pieces of caution that I wantto give to would be entrepreneurs. Uh, number one. Don't be in a hurry. Learn their hopes of doing a company first. Ah, before jumping and doing it because often I find that they burn their fingers and then they don't want to do a company again. First, go to a good company, learn the ropes of playing a company, and then do a company. That's number one number two. Uh, I would like to incorrigible and avenues to think about their ideas in the context. Off the following two thoughts one is, uh, the company needs to have a great entry point. That's how the company takes off. But then it also needs to have a bigger vision to look up to. And I often find that company's lack one or the other of these, Uh, and that's why they eventually fail or they never take off the ground. In our case, the entry point was backups, and the big vision is the consolidation off seconded and haps that I spoke about, Ah, one or the other if they're missing, it's not >> an extensive abilities key there, too. You get the beachheads real specific seconds, and then you see you point >> out of a vision. That's >> what broader beachhead without trying to take it all too fast or not knowing where to lay. That's gonna much the analogy. >> That's what I say. I beat master of one traitor, go ahead in the beachhead and then expanded the bigger >> and by the way, that's a classic proven way to do it. So, you know, just stay with what works, All right, let's get to the questions from the community. A lot of people wanted to ask your first question moment. You've a great perspective on the difference between hyper scale on enterprise worlds Is the enterprise still ten plus years behind the Giants in Tech? And how have you helped bring hyper scale thinking to the enterprise architecture? >> Um, the enterprise is, actually, surprisingly is getting closer and closer. Uh, with all the great technologies available, hyper convergence has bean. One of those technologies that has made hyper convergence combined with upscale, uh, is one of those technologies that has brought the enterprise were very close to the hyper scholars. Now they can buy products that are hyper energy that scale out in a group like fashion, and they can get some of the same benefits that the hyper scholars have enjoyed over the years, eh? So I won't say they have that far behind anymore. They're catching up, and they're catching up. Eyes >> used to be a few years ago, you could look at saying old relic, you know, modern cloud >> the and and the companies that I have found it have. I'm very flattered to say that have gonna, uh, hasten that journey. Uh, happy convergence. And he's even solving this problem of massive fragmentation. The hyper skills have kind of, you know, already solved that problem. They have massive, upscale systems that don't deliver data fragmentation. It's one platform, and you're gonna bring that value to the world through cohesive, >> great, great success. Okay, second question. There's a ton of money pouring into the data protection space again, a category that's there's a card in magic water for that. But again, you start Cummings that don't have magic watches because it's new. Why is this money pouring into space? Why now? >> Number one dealer is exploding. There's lots of lots of data. Ah, bulk off the data sets in what we call second story. It comes to it through back up straight. Your your production stuff has some production data, but eventually that data. Nobody wants to believe that they would keep it in there for at least six seven years, maybe forever. All dated, it comes to backups. The opportunity that people have seen is that they can actually now doom or with that data. It's not just dumb waiter sitting there, so it's not just data protection. It becomes more of a data management and you do data management through APS. That's what cohesion is exploding. We get the data onto a platform through backups, but then we expand into arrest of the vision and Kendra naps to extract value from the dealer right? That's why the money is coming. >> Well, you just answer the next question, which is, you know, why cohesively wind now the space is crowded, a lot of competition, So I'll just move on Ransomware, what's going on there and what's unique about Kohi City and what do you bring to the table with respect to Ransomware. >> So Ransomware is, uh, uh, something that we now live in. Its every enterprise is at risk, uh, being affected by ransomware. So what we have announced recently eating a month back, we announced our ransomware support. Uh, we can offer not just the detection, but also a number for the things we can detect Ransom where we can allow our customers toe apply fixes. When When that happens, we really allow things to be recovered once ransomware happened. So it's built into our data protection environment, right? That's how customers like it. So it adds value to the data that they already have. It's not just a dumb backup. >> And with all the third party and S t k stuff happening potential extensive bility on that core, >> that's right. Now we can have apse that can detect more round somewhere by virtue of the fact that we can support running absolutes to data. Some of those APs could be Andy dancing, perhaps help protect the data, do some custom stuff. Once said handsome, it is detected. All that becomes possible >> last question from the crowd here, the community multi cloud. Everyone's going up to the space. What is multi cloud data protection really about? And why cohesive? Isn't this just really a multi cloud vendor? Khun, do it all mean a lot of people saying they're multi cloud vendors. Y you what is multi cloud data protection all about? >> So, you know, big enterprise customers probably have a foot in every cloud, and they call it a multi cloud infrastructure. And if they want to protect the data and forced me, the data is very fragmented. So they need a backup solution for one for every cloud that's roughly multi cloudy. The production. Uh, we're cool. Here's the adds value. It's building one platform that spans your multicolored environment. So one platform can now take care ofall that those backups eso it really simplifies the job off doing backups or data protection in a multicolored environment. And that's where the Queen's devalue comes in. >> Well, congratulations. Final question for this interview. How would you summarize the state of cohesive the right now? Thousand employees growth on the customer traction side and revenue business funding. Males look good economic with a platform, certainly software margins looking very good growth. What's it all about right now? Culture value, proposition don't. >> It's kind of like a rocket ship, and we're just hanging on. But it's Ah, I think that focus is, um, when you grow this fast, uh, the challenge becomes, uh, keeping your culture intact and we tryto put a lot of effort on our culture. Our core values are cultural guidelines were fanatics about that. So we want everyone to feel that they're coming in and this is home away from home, and they treat others to make them feel it's home away from home. We're trying to build a family here, so there's a lot of emphasis on that. But at the same time, you know, we all work hard and let the company >> and the new ecosystem opportunity for you is looking really good because if he zaps takeoff, certainly the cohesively APS. And now you got third party with an S t. K. This is potentially a game changer for you as a company to a CZ Wells, you have product company. Software company makes a lot of scared, but now you're gonna be bringing developers and impact there. >> The impact, the talk, leadership impact. Uh, you know, I'm personally very fun off er you know I do these companies because I want to change the world. I won't change the way the world thinks this is the way I think. And if I can help the world think in this fashion contributed something to the world. And so that's the excitement that sort of mission is. Team is excited about that. It's just >> we got a great mind phD in computer science and two ships systems entrepreneur that thinks up new things that disrupt the status quo. And the old guard certainly track record their congratulations. Know what? Thanks for coming on The Cube. This's the Cube conversation here. Palo Alto. I'm John every year. Thanks for watching. What?

Published Date : Feb 26 2019

SUMMARY :

I'm John for a host of the Cube were Mohit parents, founder and CEO of Cohesive Serial What a smartphone that in the consumer space before capabilities that's going to come out of the data because if you have data being backed up, One more copy of the data. And I've heard you mentioned that when were before we came on. It sets and silos be the backups or passed on diver filers, Object storage. But why you got your hands on the data? Is that right? You can't incrementally at patches and expect the system to grow the Google file system and then YouTube on top and Gmail on top and blah, blah, So it be safe to say that cohesive from a software core competency standpoint is distributed that their competences of within those domains. First of all, thanks for saying you have responded to that. The name comes from the fact that it's supposed to span nodes in the very center that's supposed Talk about the impact of multi cloud in today's world because That's the kind of value we can bring. It's it's data is driving the economics. on the side I'm back from. so consolidating with cohesive because I'll be using cohesive, he allows the better management cutting the costs, and then you can run your raps on top. Talk about the announcement you Some of the gaps are from the vendor who built the smartphone. What's the thoughts It's the same motivation, you know, extend the What's the makeup of the target audience? So the value for our customers, So what a business you guys have talked about a couple quarters Uh, a lot of the secret of federal All the bills go office because you guys were two hundred last year. when you get back, we are about to enter. How big is this guy's a real state growing and buy more office space. So lots and lots of expansion worldwide. I mean, let's think about the economics. Um uh, it all depends on you know, We're going to say, very impressed with the growth and impressed that you go out on the road, talk to customers closing business. Uh, and my job is to see you is to make sure what happened I want to ask you about entrepreneurship in your journey. starting a company, you know, you got a rocket ship, so you had a lot people coming on Now from the your journey you're on now. ever in the past because technology is there to help people. You get the beachheads real specific seconds, That's That's gonna much the analogy. I beat master of one traitor, go ahead in the beachhead and then expanded the bigger You've a great perspective on the difference between hyper scale on enterprise worlds Is the same benefits that the hyper scholars have enjoyed over the years, eh? the and and the companies that I have found it have. But again, you start Cummings that don't have magic of the vision and Kendra naps to extract value from the dealer right? about Kohi City and what do you bring to the table with respect to Ransomware. just the detection, but also a number for the things we can detect Ransom where we protect the data, do some custom stuff. last question from the crowd here, the community multi cloud. the data is very fragmented. of cohesive the right now? But at the same time, and the new ecosystem opportunity for you is looking really good because if he zaps takeoff, And so that's the excitement that sort of mission is. And the old guard certainly track record their congratulations.

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Kanji Bates, PS Lifestyle | VTUG Winter Warmer 2019


 

>> From Gillette Stadium in Foxboro, Massachusetts, if the queue covering Vita Winter warmer, twenty nineteen brought to you by Silicon Angle media. >> Hi. I'm stupid women. And this is the cubes coverage of V tug. Winter warmer twenty nineteen, where we see the emergency connections between virtual ization and cloud computing happened have on the program A user at the event Con Rebates. Who is a senior integration engineer with P s lifestyle. Thanks so much for joining us. >> Nice to be here. >> All right, So, PS lifestyle, let's start there. Tell us a little bit about that in your role as a senior integration engineer and what that means. >> Okay, So, PS lifestyle, we're national Hair Salon were in thirty seven states, and we have, Ah, super niche angle. All of our salons are in senior assisted living communities as we focus exclusively on seniors and, you know, well, twenty mics in your life more enjoyable. >> Okay, well, that's that's excellent. We always talk about, you know, jobs of the future and where there is growth. Ueno the boo birds generation is, you know, creating lots of people, you know, in health care. And, you know, part of health is making sure you're feeling happy about how you look. So I don't need to worry too much about my hair. These days, but we do, other than just head say, the older generation >> way do some of that, like massage services. Just just Yeah, well, being >> very, very cool is, you know, definitely not something we've talked about on our program. And after nine years and thousands of interviews, it's nice to have some interesting angles talk about. So you're a senior integration engineer? My understanding from some of the prep is you're really working on cloud related activity primarily. >> Yeah. So I came on board about a year ago. I switched out of our operations, roll into a development role and P s lifestyle are looking too, uh, bring the internal systems forward. I've been doing a lot of work, a lot of writing the stylist in the field when I end up writing out their services that they perform everyday, which doesn't really scale. So yeah, they're trying. Teo, bring the services into the present. Um, get get away from having to write everything down. So we're building out like a It's not quite a point of sale. System is somewhere between point of sail on, like, an Internet s so that everyone in the field automate what they're doing? Our accounting team doesn't have tio re input everything that comes in. Andi, just make things flow smoother. >> Okay? So frigates inside a little bit, You know what cloud services are using, and there's there's coating that you're doing is is part of that also. >> So right now we're developing in a PHP framework called Larry Gill. And we're playing to both elastic being stalking a w s and s, um, and we're building. So we have off front ends our old Larry Gill in Elastic Beanstalk. Not back in. We're building a P. I's in Lumen and the micro services are in T. C s. So we could have been scaling. >> Yeah, and, you know, Cloud seems an obvious solution for, you know, a a highly distributed in environment, like as retail too often is. And you know your locations are Is that How long could you bring us? A little bit, as you've been on for a year. But how long has that car journey been going on? >> Actually, a year. Okay. Came in just as just a CZ. The company started developing. Thiss has been on the on the horizon for about two years. And as the study of ramping up. They brought on additional people such myself. Just a stuff up so that we could actually walk through it. >> Okay. And I was there, you know, eight of us, Obviously the leader in the spaces. It was there some consideration as Teo, which cloud they'd be using. There's >> no things they were already using a ws to some capacity for Like what? Press hosting. It was just a natural continuation of that with me coming on board I've been looking at Well, what if we do want redundancy? Do we do we try Multi cloud, You know that's now on option. You know, maybe we start exploring technologies like Tara forms so that we can actually duplicate environments just in case. On the very rare instance that eight of us does go down. Yeah, well, so >> is that a concern? When you know, people say, you know, a ws going down, does an availability zone sometimes have issues shore, But can't you architect around this, or, you know, >> you know, I mean, we've had issues where a w s has been unavailable to us for, like, non technical reasons. In that case is like we were we were trapped. Unfortunately, we were not in production at the time, But it's, you know, that's a little look, a lesson you learn once, and then you think, Well, all right, I need a backup, just in case something does happen. And I know it's, like, very unlikely to happen, so that that then informs, you know, what is my back up? You know how much how much dough I invest in the back of >> great? Yeah, because, you know, multi cloud is one of those things that people talk about when you dig down, It's like, Okay, we understand. Why is that something you're doing? Because, you know, I want tohave price leverage of one against the other. Is it? Is there a service that I wanted one that, you know that might not be available other? Or is it it's kind of insurance. And in your case that saying, you know, in the case that you are, Are you saying I think from an architectural standpoint, I'm not looking to run in both clouds all the time. But if I have an outage, I should be able to kind of fail over almost on spin, something up relatively fast. And another environment. >> Eggs. Exactly. So it's like way we're talking about, you know, possibly looking in Asia. Maybe that's a little overkill. Maybe we could just do with, like, a droplet on on digital Ocean Does our entire environment we develop in Dhaka. That's pretty easy just to pick up and leave, pick up and move somewhere else on DH. You know, maybe far standby environment is nowhere near as powerful, at least still running. >> Yeah, and so, so great. You know, you've got that containers is kind of the base level for free. How are you developing? You know what one of the challenges out there is, you know, digital ocean, great for developers. Work for the containers, but, uh, you know, please correct me if I'm not getting this right, you know, You know, Cloud today isn't a utility, so I can't just say, Oh, I'm running on a day of us and let me just take everything and throw it in azure throat. Indio, You know, we're like, there's usually, you know, some work and prepped to make sure that I've got what I need. >> There is there is so it's like, so right now, it's like we're focused on us so we can work with the tooling. And then, as as we start getting more comfortable, we can start looking at extending that tolling toe, be a little flexible toe with multiple providers >> and cloudy. And if some people you know, concern is Tio, you know, how do how do I make sure that my costs just don't kind of spiral out of control is you know, how does kind of the internal control, you know, is there budgeting process in place? Do you have? Do you have a good understanding around what you have today? You know, is there much growth going on and what you have? And you know what? I'll be down. >> We've been actually very surprising. That resource is that we get on our tier of VWs. It's like we're not even scratching the surface. So we keep looking at, you know, we need toe. Everyone says, Oh, you need to worry about scaling. You need to worry about this and that way Haven't even touched what we have s so we were right. Now our focus is more on just making sure things run and then start scaling us as we run into that issue. >> All right, Candy. Last thing. What will What brings you to this event? So obviously it's it's been doing more than virtual ization and canoeing cloud for about five years now. You know what? What? What? What brings you to this show? >> The community is fantastic. So I have been working with in a previous life I worked with somewhere, which is how I got it in tow. Vey tug. And the community around Socialization is just incredible, Very supportive. So it's like I try and give back, so come back. And >> so so just going to follow up on that. I know virtualization community, you know, very welcoming. And the like do you find in the cloud world similar types of communities? >> Yeah, so it's I've actually just started up, eh? Of'em will use a group and then a WS user group on both of those communities have been fantastic so far. I walk in also with PHP, as I said, and that's an entirely different community. I'm not saying it's not friendly, but it's a different style. >> Yeah, absolutely. You find different cultures and these various ecosystems. And yeah, it's very different. You know, the early VV number one, you've had people. It's like, Oh, I'm used to being about have to do a little bit of, you know, building on top of it. A Ws is definitely builders, you know, and what they're doing. And you know on that. So can we really appreciate you joining? Sharing your experiences on what's happened the cloud and the community's involved in? Yeah. Thanks for running user groups. Those air always super helpful, and it's usually done out of the passion and doing it. It's It's not like that. That's your day job, you know? All right. Candy Bates. Thanks so much for joining. Uh, I'm still Minutemen, and thanks so much >> for watching the cue.

Published Date : Jan 29 2019

SUMMARY :

Vita Winter warmer, twenty nineteen brought to you by Silicon Angle media. computing happened have on the program A user at the event Con Rebates. a senior integration engineer and what that means. we focus exclusively on seniors and, you know, well, Ueno the boo birds generation is, you know, creating lots of people, Just just Yeah, very, very cool is, you know, definitely not something we've talked about on our program. System is somewhere between point of sail on, like, an Internet s so that everyone in the So frigates inside a little bit, You know what cloud services are using, So we have off front Yeah, and, you know, Cloud seems an obvious solution for, you know, a a highly distributed And as the study of ramping up. It was there some consideration as Teo, which cloud they'd be using. You know, maybe we start exploring technologies like Tara forms so that we can actually duplicate But it's, you know, that's a little look, a lesson you learn once, and then you think, Well, all right, I need a backup, Yeah, because, you know, multi cloud is one of those things that people talk about when you dig down, So it's like way we're talking about, you know, possibly looking in Asia. Indio, You know, we're like, there's usually, you know, And then, as as we start getting more comfortable, we can start looking at extending And if some people you know, concern is Tio, you know, how do how do you know, we need toe. What will What brings you to this event? So it's like I try and give back, so come back. I know virtualization community, you know, very welcoming. Yeah, so it's I've actually just started up, eh? A Ws is definitely builders, you know, and what they're doing.

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