>>The Cube presents Ignite 22, brought to you by Palo Alto Networks. >>Hey guys, welcome back to the Cube, the leader in live enterprise and emerging tech coverage. We are live in Las Vegas at MGM Grand Hotel, Lisa Martin with Dave Valante, covering our first time covering Palo Alto Ignite. 22 in person. Dave, we've had some great conversations so far. We've got two days of wall to wall coverage. We're gonna be talking with Palo Alto execs, leaders, customers, partners, and we're gonna be talking about the partner ecosystem >>Next. Wow. Super important. You know, it's funny you talk about for a minute, you didn't know where we were. I, I came to Vegas in May. I feel like I never left two weeks ago reinvent, which was I, I thought the most awesome reinvent ever. And it was really all about the ecosystem and the marketplace. So super excited to have that >>Conversation. Yeah, we've got Wet Whit Krump joining us, director of America's business development worldwide channels and customer programs at AWS marketplace. Wet, welcome to the Cube. Great to have >>You. Thanks for having me. Give >>Us a, you got a big title there. Give us a little bit of flavor of your scope of work at aws. >>Yeah, sure. So I, I've been with the marketplace team now almost eight years and originally founded our channel programs. And my scope has expanded to not just cover channels, but all things related to customers. So if you think about marketplace having sort of two sides, one being very focused on the isv, I tend to manage all things related to our in customer and our, our channel partners. >>What are some of the feedback that you're getting from customers and channel partners as the marketplace has has evolved so much? >>Yeah. You know, it's, it's, it's been interesting to watch over the course of the years, getting to see it start its infancy and grow up. One of the things that we hear often from customers and from our channel partners, and maybe not so directly, is it's not about finding the things they necessarily want to buy, although that's important, but it's the actual act of how they're able to purchase things and making that a much more streamlined process, especially in large enterprises where there's a lot of complexity. We wanna make that a lot simple, simpler for our customers. >>I mean, vendor management is such a hassle, right? But, so when I come into the marketplace, it's all there. I gotta console, it's integrated, I choose what I want. The billing is simplified. How has that capability evolved since the time that you've been at aws and where do you, where do you want to take it? >>Yeah, so when we, we first started Marketplace, it was really a pay as you go model customer come, they buy whatever, you know, whatever the, the whatever the solution was. And then it was, you know, charged by the hour and then the year. And one of the things that we discovered through customer and partner feedback was especially when they're dealing with large enterprise purchases, you know, they want to be able to instantiate those custom price and terms, you know, into that contract while enjoying the benefits of, of marketplace. And that's been, I think the biggest evolution started in 2017 with private offers, 2018 with consulting partner private offers. And then we've added things on over time to streamline procurement for, for >>Customers. So one of the hottest topics right now, everybody wants to talk about the macro and the headwinds and everything else, but when you talk to customers like, look, I gotta do more with less, less, that's the big theme. Yeah. And, and I wanna optimize my spend. Cloud allows me to do that because I can dial down, I can push storage to, to lower tiers. There's a lot of different things that I can do. Yeah. What are the techniques that people are using in the ecosystem Yeah. To bring in the partner cost optimization. Yeah. >>And so one of the key things that, that partners are, are, are doing for customers, they act as that trusted advisor. And, you know, when using marketplace either directly or through a partner, you know, customers are able to really save money through a licensing flexibility. They're also able to streamline their procurement. And then if there's an at-risk spin situation, they're able to, to manage that at-risk spend by combining marketplace and AWS spin into into one, you know, basically draws down their commitments to, to the company. >>And we talk about ask at-risk spend, you might talk about user or lose IT type of spend, right? Yeah. And so you, you increase the optionality in terms of where you can get value from your cloud spend. That's >>All right. Customers are thinking about their, their IT spend more strategically now more than ever. And so they're not just thinking about how do I buy infrastructure here and then software here, data services, they wanna combine this into one place. It's a lot less to keep up with a lot, a lot less overhead for them. But also just the simplification that you alluded to earlier around, you know, all the billing and vendor management is, and now in one, one streamlined, one streamlined process. Talk >>About that as a facilitator of organizations being able to reduce their risk profile. >>Yeah, so, you know, one of the things that, that came out earlier this year with Forrester was a to were total economic impact studies for both an ISV and for the end customer. But there was also a thought leadership study done where they surveyed over 700 customers worldwide to sort of get their thoughts on procurement and risk profile management. And, and one of the things that was really, you know, really surprising was is was that, you know, I guess it was like over 78% of of respondents DEF stated that they didn't feel like their, their companies had a really well-defined governance model and that over half of software and data purchases actually went outside of procurement. And so the companies aren't really able to, don't, they don't really have eyes on all of this spin and it's substantial >>And that's a, a huge risk for the organization. >>Yeah. Huge risk for the organization. And, and you know, half of the respondents stated outright that like they viewed marketplaces a way for them to reduce their risk profile because they, they were able to have a better governance model around that. >>So what's the business case can take us through that. How, how should a customer think about that? So, okay, I get that the procurement department likes it and the CFO probably likes it, but how, what, what's the dynamic around the business? So if I'm a, let's say I'm, I'm a bus, I'm a business person, I'm a, and running the process, I got my little, I get my procurement reach around. Yeah. What does the data suggest that what's in it from me, right? From a company wide standpoint, you know, what are the, maybe the Forester guys address this. So yeah, that overall business case I think is important. >>Yeah, I think, I think one of the big headlines for the end customer is because of license flexibility is that is is about a 10% cost savings in, in license cost. They're able to right size their purchases to buy the things they actually need. They're not gonna have these big overarching ELAs. There's gonna be a lot of other things in there that, that they don't, they don't really aren't gonna really directly use. You're talking about shelfware, you know, that sort of the classic term buy something, it never gets used, you know, also from just a, a getting things done perspective, big piece of feedback from customers is the contracting process takes a long time. It takes several months, especially for a large purchase. And a lot of those discussions are very repetitive. You know, you're talking about the same things over and over again. And we actually built a feature called standardized contract where we talked to a number of customers and ISVs distilled a contract down into a, a largely a set of terms that both sides already agreed to. And it cuts that, that contract time down by 90%. So if you're a legal team in a company, there's only so many of you and you have a lot of things to get done. If you can shave 90% off your time, that that's, that's now you can now work on a lot of other things for the, the corporation. Right. >>A lot of business impact there. You think faster time to value, faster time to market workforce optimization. >>Yeah. Yeah. I mean, it, it, you know, from an ISV standpoint, the measurement is they're, they're able to close deals about 40% faster, which is great for the isv. I mean obviously they love that. But if you're a customer, you're actually getting the innovative technologies you need 40% faster. So you can actually do the work you want to take it to your customers and drive the business. >>You guys recently launched, what is it, vendor Insights? Yeah. Talk a little bit about that, the value. What are some of the things that you're seeing with that? >>Yeah, so that goes into the, the onboarding value add of marketplaces. The number of things that go into, to cutting that time according to Forrester by 75%. But Vendor Insights was based on a key piece, offa impact from customers. So, you know, marketplace is used for, one of the reasons is discoverability by customers, Hey, what is the broader landscape? Look for example of security or storage partners, you know, trying to, trying to understand what is even available. And then the double click is, alright, well how does that company, or how does that vendor fit into my risk profile? You know, understanding what their compliance metrics are, things of that nature. And so historically they would have to, a customer would've to go to an ISV and say, all right, I want you to fill out this form, you know that my questionnaire. And so they would trade this back and forth as they have questions. Now with vendor insights, a customer can actually subscribe to this and they're able to actually see the risk profile of that vendor from the inside out, you know, from the inside of their SaaS application, what does it look like on a real time basis? And they can go back and look at that whenever they want. And you know, the, the, the feedback since the launch has been fantastic. And that, and I think that helps us double down on the already the, the onboarding benefits that we are providing customers. >>This, this, I wanna come back to this idea of cost optimization and, and try to tie it into predictability. You know, a lot of people, you know, complain, oh, I got surprised at the end of the month. So if I understand it wit by, by leveraging the marketplace and the breadth that you have in the marketplace, I can say, okay, look, I'm gonna spend X amount on tech. Yeah. And, and this approach allows me to say, all right, because right now procurement or historically procurement's been a bunch of stove pipes, I can't take from here and easily put it over there. Right. You're saying that this not only addresses the sort of cost optimization, does it also address the predictability challenge? >>Yeah, and I, I think another way to describe that is, is around cost controls. And you know, just from a reporting perspective, you know, we, we have what are called cost utilization reports or curve files. And we provide those to customers anytime they want and they can load those into Tableau, use whatever analysis tools that they want to be able to use. And so, and then you can actually tag usage in those reports. And what we're really talking about is helping customers adopt thin op practices. So, you know, develop directly for the cloud customers are able to understand, okay, who's using what, when and where. So everyone's informed that creates a really collaborative environment. It also holds people accountable for their spin. So that, you know, again, talking about shelfware, we bought things we're not gonna use or we're overusing people are using software that they probably don't really need to. And so that's, that adds to that predictable is everyone has great visibility into what's happening. And there's >>Another, I mean, of course saving money is, is, is in vogue right now because you know, the headwinds and the economics, et cetera. But there's also another side of the equation, which is, I mean, I see this a lot. You know, the CFO says financial people, why is our cloud bill so high? Well it's because we're actually driving all this revenue. And so, you know, you've seen it so many so often in companies, you know, the, the spreadsheet analysis says, oh, cut that. Well, what happens to revenue if you cut that? Right? Yeah. So with that visibility, the answer may be, well actually if we double down on that, yeah, we're actually gonna make more money cuz we actually have a margin on this and it's, it's got operating leverage. So if we double that, you know, we could, so that kind of cross organization communication to make better decisions, I think is another key factor. Yeah. >>Huge impact there. Talk ultimately about how the buyer's journey seems to have been really transformed >>The >>Correct. Right? So if you're, if you're a buyer, you know, initially to your point is, you know, I'm just looking for a point solution, right? And then you move on to the next one and the next one. And now, you know, working with our teams and using the platform, you know, and frankly customers are thinking more strategically about their IT spend holistically. The conversations that we're having with us is, it's not about how do I find the solution today, but here's my forward looking software spend, or I'm going through a migration, I wanna rationalize the software portfolio I have today as I'm gonna lift and shift it to aws. You know, what is going to make the trip? What are we gonna discard entirely because it's not really optimized for the cloud. Or there's that shelf wheel component, which is, hey, you know, maybe 15 to 25% of my portfolio, it's just not even getting utilized. And that, and that's a sunk cost to your point, which is, you know, that's, that's money I could be using on something that really impacts the bottom line in various areas of the business. Right. >>What would you say is the number one request you get or feedback you get from the end customers? And how is that different from what you hear from the channel partners? How aligned or Yeah. Are those >>Vectors? I would say from a customer perspective, one of the key things I hear about is around visibility of spin, right? And I was just talking about these reports and you know, using cost optimization tools, being able to use features like identity and access management, managing entitlements, private marketplaces. Basically them being able to have a stronger governance model in the cloud. For one thing, it's, it's, you know, keeping everybody on track like some of the points I was talking about earlier, but also cost, cost optimization around, you know, limiting vendor sprawl. Are we actually really using all the things that we need? And then from a channel partner perspective, you know, some of the things I talked about earlier about that 40% faster sales cycle, you know, that that TEI or the total economic impact study that was done by Forrester was, was built for the isv. >>But if you're a channel partner sitting between the customer and the isv, you kind of get to, you get a little bit of the best of both worlds, right? You're acting as that, you're acting as that that advisor. And so if you're a channel partner, the procurement streamlining is a huge benefit because the, you know, like you said, saving money is in vogue right now. You're trying to do more with less. So if you're thinking about 20, 27% faster win rates, 40% faster time to close, and you're the customer who's trying to impact the bottom line by, by innovating more, more quickly, those two pieces of feedback are really coming together and meeting in, in the middle >>Throughout 2021, or sorry, 2022, our survey partner, etr Enterprise Technology Research has asked their panel a question is what's your strategy for, you know, doing more with less? By far the number one response has been consolidating redundant vendors. Yes. And then optimizing cloud was, you know, second, but, but way, way lower than that. The number from last survey went from 34%. It's now up to 44% in the January survey, which is in the field, which they gave me a glimpse to last night. So you're seeing dramatic uptick Yeah. In that point. Yeah. And then you guys are helping, >>We, we definitely are. I mean, it, there's the reporting piece so they have a better visibility of what they're doing. And then you think about a, a feature like private marketplace and manage entitlements. So private marketplace enables a customer to create their own private marketplace as the name states where they can limit access to it for certain types of software to the actual in customer who needs to use that software. And so, you know, not everybody needs a license to software X, right? And so that helps with the sprawl comment to your point, that's, that's on the increase, right? Am I actually spending money on things that we need to use? >>But also on the consolidation front, you, we, we talked with nikesh an hour or so ago, he was mentioning on stage, if you, if you just think of this number of security tools or cybersecurity tools that an organization has on its network, 30 to 50. And we were talking about, well, how does Palo Alto Networks what's realistic in terms of consolidation? But it sounds like what you're doing in the marketplace is giving organizations the visibility, correct, for sure. Into what they're running, usage spend, et cetera, to help facilitate ultimately at some point facilitate a strategic consolidation. >>It's, that's exactly right. And if you, you think about cost optimization, our procurement features, you know, the, the practice that we're trying to help customers around, around finops, it's all about helping customers build a, a modern procurement practice and supply chain. And so that helps with, with that point exactly. The keynotes >>Point. Exactly. So last question for you. What, what's next? What can we expect? >>Oh, so what's next for me is, you know, I, I really want to, you know, my channel business for example, you know, I want to think about enabling new types of partners. So if we've worked really heavily with resellers, we worked very heavily with Palo Alto on the reseller community, how are we bringing in more services partners of various types? You know, the gsi, the distributors, cloud service providers, managed security service providers was in a keynote yesterday listening to Palo Alto talk about their five routes to market. And, you know, they had these bubbles. And so I was like, gosh, that's exactly how I'm thinking about the business is how am I expanding my own footprint to customers that have deeper, I mean, excuse me, to partners that have deeper levels of cloud knowledge, can be more of that advisor, help customers really understand how to maximize their business on aws. And, and you know, my job is to really help facilitate that, that innovative technology through those partners. >>So sounds like powerful force, that ecosystem. Exactly. Great alignment. AWS and Palo Alto, thank you so much for joining us with, we >>Appreciate, thanks for having >>With what's going on at aws, the partner network, the mp, and all that good stuff. That's really the value in it for customers, ISVs and channel partners. I like. We appreciate your insights. >>Thank you. Thanks for having me. Thank you. >>Our guests and Dave Valante. I'm Lisa Martin. You're watching the Cube Lee Leer in live enterprise and emerging tech coverage.

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

(upbeat techno music) >> Collibra is a company that was founded in 2008 right before the so-called modern big data era kicked into high gear. The company was one of the first to focus its business on data governance. Now, historically, data governance and data quality initiatives, they were back office functions, and they were largely confined to regulated industries that had to comply with public policy mandates. But as the cloud went mainstream the tech giants showed us how valuable data could become, and the value proposition for data quality and trust, it evolved from primarily a compliance driven issue, to becoming a linchpin of competitive advantage. But, data in the decade of the 2010s was largely about getting the technology to work. You had these highly centralized technical teams that were formed and they had hyper-specialized skills, to develop data architectures and processes, to serve the myriad data needs of organizations. And it resulted in a lot of frustration, with data initiatives for most organizations, that didn't have the resources of the cloud guys and the social media giants, to really attack their data problems and turn data into gold. This is why today, for example, there's quite a bit of momentum to re-thinking monolithic data architectures. You see, you hear about initiatives like Data Mesh and the idea of data as a product. They're gaining traction as a way to better serve the the data needs of decentralized business users. You hear a lot about data democratization. So these decentralization efforts around data, they're great, but they create a new set of problems. Specifically, how do you deliver, like a self-service infrastructure to business users and domain experts? Now the cloud is definitely helping with that but also, how do you automate governance? This becomes especially tricky as protecting data privacy has become more and more important. In other words, while it's enticing to experiment, and run fast and loose with data initiatives, kind of like the Wild West, to find new veins of gold, it has to be done responsibly. As such, the idea of data governance has had to evolve to become more automated and intelligent. Governance and data lineage is still fundamental to ensuring trust as data. It moves like water through an organization. No one is going to use data that is entrusted. Metadata has become increasingly important for data discovery and data classification. As data flows through an organization, the continuously ability to check for data flaws and automating that data quality, they become a functional requirement of any modern data management platform. And finally, data privacy has become a critical adjacency to cyber security. So you can see how data governance has evolved into a much richer set of capabilities than it was 10 or 15 years ago. Hello and welcome to theCUBE's coverage of Data Citizens made possible by Collibra, a leader in so-called Data intelligence and the host of Data Citizens 2022, which is taking place in San Diego. My name is Dave Vellante and I'm one of the hosts of our program which is running in parallel to Data Citizens. Now at theCUBE we like to say we extract the signal from the noise, and over the next couple of days we're going to feature some of the themes from the keynote speakers at Data Citizens, and we'll hear from several of the executives. Felix Van de Maele, who is the co-founder and CEO of Collibra, will join us. Along with one of the other founders of Collibra, Stan Christiaens, who's going to join my colleague Lisa Martin. I'm going to also sit down with Laura Sellers, she's the Chief Product Officer at Collibra. We'll talk about some of the the announcements and innovations they're making at the event, and then we'll dig in further to data quality with Kirk Haslbeck. He's the Vice President of Data Quality at Collibra. He's an amazingly smart dude who founded Owl DQ, a company that he sold to Collibra last year. Now, many companies they didn't make it through the Hadoop era, you know they missed the industry waves and they became driftwood. Collibra, on the other hand, has evolved its business, they've leveraged the cloud, expanded its product portfolio and leaned in heavily to some major partnerships with cloud providers as well as receiving a strategic investment from Snowflake, earlier this year. So, it's a really interesting story that we're thrilled to be sharing with you. Thanks for watching and I hope you enjoy the program. (upbeat rock music) Last year theCUBE covered Data Citizens, Collibra's customer event, and the premise that we put forth prior to that event was that despite all the innovation that's gone on over the last decade or more with data, you know starting with the Hadoop movement, we had Data lakes, we had Spark, the ascendancy of programming languages like Python, the introduction of frameworks like Tensorflow, the rise of AI, Low Code, No Code, et cetera. Businesses still find it's too difficult to get more value from their data initiatives, and we said at the time, you know maybe it's time to rethink data innovation. While a lot of the effort has been focused on, you more efficiently storing and processing data, perhaps more energy needs to go into thinking about the people and the process side of the equation. Meaning, making it easier for domain experts to both gain insights from data, trust the data, and begin to use that data in new ways, fueling data products, monetization, and insights. Data Citizens 2022 is back and we're pleased to have Felix Van de Maele who is the founder and CEO of Collibra. He's on theCUBE. We're excited to have you Felix. Good to see you again. >> Likewise Dave. Thanks for having me again. >> You bet. All right, we're going to get the update from Felix on the current data landscape, how he sees it why data intelligence is more important now than ever, and get current on what Collibra has been up to over the past year, and what's changed since Data citizens 2021, and we may even touch on some of the product news. So Felix, we're living in a very different world today with businesses and consumers. They're struggling with things like supply chains, uncertain economic trends and we're not just snapping back to the 2010s, that's clear, and that's really true as well in the world of data. So what's different in your mind, in the data landscape of the 2020s, from the previous decade, and what challenges does that bring for your customers? >> Yeah, absolutely, and and I think you said it well, Dave and the intro that, that rising complexity and fragmentation, in the broader data landscape, that hasn't gotten any better over the last couple of years. When when we talk to our customers, that level of fragmentation, the complexity, how do we find data that we can trust, that we know we can use, has only gotten more more difficult. So that trend that's continuing, I think what is changing is that trend has become much more acute. Well, the other thing we've seen over the last couple of years is that the level of scrutiny that organizations are under, respect to data, as data becomes more mission critical, as data becomes more impactful than important, the level of scrutiny with respect to privacy, security, regulatory compliance, as only increasing as well. Which again, is really difficult in this environment of continuous innovation, continuous change, continuous growing complexity, and fragmentation. So, it's become much more acute. And to your earlier point, we do live in a different world and and the past couple of years we could probably just kind of brute force it, right? We could focus on, on the top line, there was enough kind of investments to be, to be had. I think nowadays organizations are focused or are, are, are are, are, are in a very different environment where there's much more focus on cost control, productivity, efficiency, how do we truly get the value from that data? So again, I think it just another incentive for organization to now truly look at data and to scale with data, not just from a a technology and infrastructure perspective, but how do we actually scale data from an organizational perspective, right? You said at the, the people and process, how do we do that at scale? And that's only, only, only becoming much more important, and we do believe that the, the economic environment that we find ourselves in today is going to be catalyst for organizations to really take that more seriously if, if, if you will, than they maybe have in the have in the past. >> You know, I don't know when you guys founded Collibra, if you had a sense as to how complicated it was going to get, but you've been on a mission to really address these problems from the beginning. How would you describe your, your, your mission and what are you doing to address these challenges? >> Yeah, absolutely. We, we started Collibra in 2008. So, in some sense and the, the last kind of financial crisis and that was really the, the start of Collibra, where we found product market fit, working with large financial institutions to help them cope with the increasing compliance requirements that they were faced with because of the, of the financial crisis. And kind of here we are again, in a very different environment of course 15 years, almost 15 years later, but data only becoming more important. But our mission to deliver trusted data for every user, every use case and across every source, frankly, has only become more important. So, what has been an incredible journey over the last 14, 15 years, I think we're still relatively early in our mission to again, be able to provide everyone, and that's why we call it Data Citizens, we truly believe that everyone in the organization should be able to use trusted data in an easy, easy matter. That mission is is only becoming more important, more relevant. We definitely have a lot more work ahead of us because we still relatively early in that, in that journey. >> Well that's interesting, because you know, in my observation it takes 7 to 10 years to actually build a company, and then the fact that you're still in the early days is kind of interesting. I mean, you, Collibra's had a good 12 months or so since we last spoke at Data Citizens. Give us the latest update on your business. What do people need to know about your current momentum? >> Yeah, absolutely. Again, there's a lot of tailwind organizations that are only maturing their data practices and we've seen that kind of transform or influence a lot of our business growth that we've seen, broader adoption of the platform. We work at some of the largest organizations in the world with its Adobe, Heineken, Bank of America and many more. We have now over 600 enterprise customers, all industry leaders and every single vertical. So it's, it's really exciting to see that and continue to partner with those organizations. On the partnership side, again, a lot of momentum in the org in the, in the market with some of the cloud partners like Google, Amazon, Snowflake, Data Breaks, and and others, right? As those kind of new modern data infrastructures, modern data architectures, are definitely all moving to the cloud. A great opportunity for us, our partners, and of course our customers, to help them kind of transition to the cloud even faster. And so we see a lot of excitement and momentum there. We did an acquisition about 18 months ago around data quality, data observability, which we believe is an enormous opportunity. Of course data quality isn't new but I think there's a lot of reasons why we're so excited about quality and observability now. One, is around leveraging AI machine learning again to drive more automation. And a second is that those data pipelines, that are now being created in the cloud, in these modern data architecture, architectures, they've become mission critical. They've become real time. And so monitoring, observing those data pipelines continuously, has become absolutely critical so that they're really excited about, about that as well. And on the organizational side, I'm sure you've heard the term around kind of data mesh, something that's gaining a lot of momentum, rightfully so. It's really the type of governance that we always believed in. Federated, focused on domains, giving a lot of ownership to different teams. I think that's the way to scale data organizations, and so that aligns really well with our vision and from a product perspective, we've seen a lot of momentum with our customers there as well. >> Yeah, you know, a couple things there. I mean, the acquisition of OwlDQ, you know Kirk Haslbeck and, and their team. It's interesting, you know the whole data quality used to be this back office function and and really confined to highly regulated industries. It's come to the front office, it's top of mind for Chief Data Officers. Data mesh, you mentioned you guys are a connective tissue for all these different nodes on the data mesh. That's key. And of course we see you at all the shows. You're, you're a critical part of many ecosystems and you're developing your own ecosystem. So, let's chat a little bit about the, the products. We're going to go deeper into products later on, at Data Citizens 22, but we know you're debuting some, some new innovations, you know, whether it's, you know, the the under the covers in security, sort of making data more accessible for people, just dealing with workflows and processes, as you talked about earlier. Tell us a little bit about what you're introducing. >> Yeah, absolutely. We we're super excited, a ton of innovation. And if we think about the big theme and like, like I said, we're still relatively early in this, in this journey towards kind of that mission of data intelligence that really bolts and compelling mission. Either customers are still start, are just starting on that, on that journey. We want to make it as easy as possible for the, for organization to actually get started, because we know that's important that they do. And for our organization and customers, that have been with us for some time, there's still a tremendous amount of opportunity to kind of expand the platform further. And again to make it easier for, really to, to accomplish that mission and vision around that Data Citizen, that everyone has access to trustworthy data in a very easy, easy way. So that's really the theme of a lot of the innovation that we're driving, a lot of kind of ease of adoption, ease of use, but also then, how do we make sure that, as clear becomes this kind of mission critical enterprise platform, from a security performance, architecture scale supportability, that we're truly able to deliver that kind of an enterprise mission critical platform. And so that's the big theme. From an innovation perspective, from a product perspective, a lot of new innovation that we're really excited about. A couple of highlights. One, is around data marketplace. Again, a lot of our customers have plans in that direction, How to make it easy? How do we make How do we make available to true kind of shopping experience? So that anybody in the organization can, in a very easy search first way, find the right data product, find the right dataset, that they can then consume. Usage analytics, how do you, how do we help organizations drive adoption? Tell them where they're working really well and where they have opportunities. Homepages again to, to make things easy for, for people, for anyone in your organization, to kind of get started with Collibra. You mentioned Workflow Designer, again, we have a very powerful enterprise platform, one of our key differentiators is the ability to really drive a lot of automation through workflows. And now we provided a, a new Low-Code, No-Code kind of workflow designer experience. So, so really customers can take it to the next level. There's a lot more new product around Collibra protect, which in partnership with Snowflake, which has been a strategic investor in Collibra, focused on how do we make access governance easier? How do we, how do we, how are we able to make sure that as you move to the cloud, things like access management, masking around sensitive data, PIA data, is managed as a much more effective, effective rate. Really excited about that product. There's more around data quality. Again, how do we, how do we get that deployed as easily, and quickly, and widely as we can? Moving that to the cloud has been a big part of our strategy. So, we launch our data quality cloud product, as well as making use of those, those native compute capabilities and platforms, like Snowflake, Databricks, Google, Amazon, and others. And so we are bettering a capability, a capability that we call push down, so we're actually pushing down the computer and data quality, to monitoring into the underlying platform, which again from a scale performance and ease of use perspective, is going to make a massive difference. And then more broadly, we talked a little bit about the ecosystem. Again, integrations, we talk about being able to connect to every source. Integrations are absolutely critical, and we're really excited to deliver new integrations with Snowflake, Azure and Google Cloud storage as well. So that's a lot coming out, the team has been work, at work really hard, and we are really really excited about what we are coming, what we're bringing to market. >> Yeah, a lot going on there. I wonder if you could give us your, your closing thoughts. I mean, you you talked about, you know, the marketplace, you know you think about Data Mesh, you think of data as product, one of the key principles, you think about monetization. This is really different than what we've been used to in data, which is just getting the technology to work has been, been so hard. So, how do you see sort of the future and, you know give us the, your closing thoughts please? >> Yeah, absolutely. And, and I think we we're really at a pivotal moment and I think you said it well. We, we all know the constraint and the challenges with data, how to actually do data at scale. And while we've seen a ton of innovation on the infrastructure side, we fundamentally believe that just getting a faster database is important, but it's not going to fully solve the challenges and truly kind of deliver on the opportunity. And that's why now is really the time to, deliver this data intelligence vision, this data intelligence platform. We are still early, making it as easy as we can, as kind of our, as our mission. And so I'm really, really excited to see what we, what we are going to, how the marks are going to evolve over the next, next few quarters and years. I think the trend is clearly there. We talked about Data Mesh, this kind of federated approach focus on data products, is just another signal that we believe, that a lot of our organization are now at the time, they're understanding need to go beyond just the technology. I really, really think about how to actually scale data as a business function, just like we've done with IT, with HR, with sales and marketing, with finance. That's how we need to think about data. I think now is the time, given the economic environment that we are in, much more focus on control, much more focus on productivity, efficiency, and now is the time we need to look beyond just the technology and infrastructure to think of how to scale data, how to manage data at scale. >> Yeah, it's a new era. The next 10 years of data won't be like the last, as I always say. Felix, thanks so much. Good luck in, in San Diego. I know you're going to crush it out there. >> Thank you Dave. >> Yeah, it's a great spot for an in-person event and and of course the content post-event is going to be available at collibra.com and you can of course catch theCUBE coverage at theCUBE.net and all the news at siliconangle.com. This is Dave Vellante for theCUBE, your leader in enterprise and emerging tech coverage. (upbeat techno music)

>>Collibra is a company that was founded in 2008 right before the so-called modern big data era kicked into high gear. The company was one of the first to focus its business on data governance. Now, historically, data governance and data quality initiatives, they were back office functions and they were largely confined to regulatory regulated industries that had to comply with public policy mandates. But as the cloud went mainstream, the tech giants showed us how valuable data could become and the value proposition for data quality and trust. It evolved from primarily a compliance driven issue to becoming a lynchpin of competitive advantage. But data in the decade of the 2010s was largely about getting the technology to work. You had these highly centralized technical teams that were formed and they had hyper specialized skills to develop data architectures and processes to serve the myriad data needs of organizations. >>And it resulted in a lot of frustration with data initiatives for most organizations that didn't have the resources of the cloud guys and the social media giants to really attack their data problems and turn data into gold. This is why today for example, this quite a bit of momentum to rethinking monolithic data architectures. You see, you hear about initiatives like data mesh and the idea of data as a product. They're gaining traction as a way to better serve the the data needs of decentralized business Uni users, you hear a lot about data democratization. So these decentralization efforts around data, they're great, but they create a new set of problems. Specifically, how do you deliver like a self-service infrastructure to business users and domain experts? Now the cloud is definitely helping with that, but also how do you automate governance? This becomes especially tricky as protecting data privacy has become more and more important. >>In other words, while it's enticing to experiment and run fast and loose with data initiatives kinda like the Wild West, to find new veins of gold, it has to be done responsibly. As such, the idea of data governance has had to evolve to become more automated. And intelligence governance and data lineage is still fundamental to ensuring trust as data. It moves like water through an organization. No one is gonna use data that isn't trusted. Metadata has become increasingly important for data discovery and data classification. As data flows through an organization, the continuously ability to check for data flaws and automating that data quality, they become a functional requirement of any modern data management platform. And finally, data privacy has become a critical adjacency to cyber security. So you can see how data governance has evolved into a much richer set of capabilities than it was 10 or 15 years ago. >>Hello and welcome to the Cube's coverage of Data Citizens made possible by Calibra, a leader in so-called Data intelligence and the host of Data Citizens 2022, which is taking place in San Diego. My name is Dave Ante and I'm one of the hosts of our program, which is running in parallel to data citizens. Now at the Cube we like to say we extract the signal from the noise, and over the, the next couple of days, we're gonna feature some of the themes from the keynote speakers at Data Citizens and we'll hear from several of the executives. Felix Von Dala, who is the co-founder and CEO of Collibra, will join us along with one of the other founders of Collibra, Stan Christians, who's gonna join my colleague Lisa Martin. I'm gonna also sit down with Laura Sellers, she's the Chief Product Officer at Collibra. We'll talk about some of the, the announcements and innovations they're making at the event, and then we'll dig in further to data quality with Kirk Hasselbeck. >>He's the vice president of Data quality at Collibra. He's an amazingly smart dude who founded Owl dq, a company that he sold to Col to Collibra last year. Now many companies, they didn't make it through the Hado era, you know, they missed the industry waves and they became Driftwood. Collibra, on the other hand, has evolved its business. They've leveraged the cloud, expanded its product portfolio, and leaned in heavily to some major partnerships with cloud providers, as well as receiving a strategic investment from Snowflake earlier this year. So it's a really interesting story that we're thrilled to be sharing with you. Thanks for watching and I hope you enjoy the program. >>Last year, the Cube Covered Data Citizens Collibra's customer event. And the premise that we put forth prior to that event was that despite all the innovation that's gone on over the last decade or more with data, you know, starting with the Hado movement, we had data lakes, we'd spark the ascendancy of programming languages like Python, the introduction of frameworks like TensorFlow, the rise of ai, low code, no code, et cetera. Businesses still find it's too difficult to get more value from their data initiatives. And we said at the time, you know, maybe it's time to rethink data innovation. While a lot of the effort has been focused on, you know, more efficiently storing and processing data, perhaps more energy needs to go into thinking about the people and the process side of the equation, meaning making it easier for domain experts to both gain insights for data, trust the data, and begin to use that data in new ways, fueling data, products, monetization and insights data citizens 2022 is back and we're pleased to have Felix Van Dema, who is the founder and CEO of Collibra. He's on the cube or excited to have you, Felix. Good to see you again. >>Likewise Dave. Thanks for having me again. >>You bet. All right, we're gonna get the update from Felix on the current data landscape, how he sees it, why data intelligence is more important now than ever and get current on what Collibra has been up to over the past year and what's changed since Data Citizens 2021. And we may even touch on some of the product news. So Felix, we're living in a very different world today with businesses and consumers. They're struggling with things like supply chains, uncertain economic trends, and we're not just snapping back to the 2010s. That's clear, and that's really true as well in the world of data. So what's different in your mind, in the data landscape of the 2020s from the previous decade, and what challenges does that bring for your customers? >>Yeah, absolutely. And, and I think you said it well, Dave, and and the intro that that rising complexity and fragmentation in the broader data landscape, that hasn't gotten any better over the last couple of years. When when we talk to our customers, that level of fragmentation, the complexity, how do we find data that we can trust, that we know we can use has only gotten kinda more, more difficult. So that trend that's continuing, I think what is changing is that trend has become much more acute. Well, the other thing we've seen over the last couple of years is that the level of scrutiny that organizations are under respect to data, as data becomes more mission critical, as data becomes more impactful than important, the level of scrutiny with respect to privacy, security, regulatory compliance, as only increasing as well, which again, is really difficult in this environment of continuous innovation, continuous change, continuous growing complexity and fragmentation. >>So it's become much more acute. And, and to your earlier point, we do live in a different world and and the the past couple of years we could probably just kind of brute for it, right? We could focus on, on the top line. There was enough kind of investments to be, to be had. I think nowadays organizations are focused or are, are, are, are, are, are in a very different environment where there's much more focus on cost control, productivity, efficiency, How do we truly get value from that data? So again, I think it just another incentive for organization to now truly look at data and to scale it data, not just from a a technology and infrastructure perspective, but how do you actually scale data from an organizational perspective, right? You said at the the people and process, how do we do that at scale? And that's only, only only becoming much more important. And we do believe that the, the economic environment that we find ourselves in today is gonna be catalyst for organizations to really dig out more seriously if, if, if, if you will, than they maybe have in the have in the best. >>You know, I don't know when you guys founded Collibra, if, if you had a sense as to how complicated it was gonna get, but you've been on a mission to really address these problems from the beginning. How would you describe your, your, your mission and what are you doing to address these challenges? >>Yeah, absolutely. We, we started Colli in 2008. So in some sense and the, the last kind of financial crisis, and that was really the, the start of Colli where we found product market fit, working with large finance institutions to help them cope with the increasing compliance requirements that they were faced with because of the, of the financial crisis and kind of here we are again in a very different environment, of course 15 years, almost 15 years later. But data only becoming more important. But our mission to deliver trusted data for every user, every use case and across every source, frankly, has only become more important. So what has been an incredible journey over the last 14, 15 years, I think we're still relatively early in our mission to again, be able to provide everyone, and that's why we call it data citizens. We truly believe that everyone in the organization should be able to use trusted data in an easy, easy matter. That mission is is only becoming more important, more relevant. We definitely have a lot more work ahead of us because we are still relatively early in that, in that journey. >>Well, that's interesting because, you know, in my observation it takes seven to 10 years to actually build a company and then the fact that you're still in the early days is kind of interesting. I mean, you, Collibra's had a good 12 months or so since we last spoke at Data Citizens. Give us the latest update on your business. What do people need to know about your, your current momentum? >>Yeah, absolutely. Again, there's, there's a lot of tail organizations that are only maturing the data practices and we've seen it kind of transform or, or, or influence a lot of our business growth that we've seen, broader adoption of the platform. We work at some of the largest organizations in the world where it's Adobe, Heineken, Bank of America, and many more. We have now over 600 enterprise customers, all industry leaders and every single vertical. So it's, it's really exciting to see that and continue to partner with those organizations. On the partnership side, again, a lot of momentum in the org in, in the, in the markets with some of the cloud partners like Google, Amazon, Snowflake, data bricks and, and others, right? As those kind of new modern data infrastructures, modern data architectures that are definitely all moving to the cloud, a great opportunity for us, our partners and of course our customers to help them kind of transition to the cloud even faster. >>And so we see a lot of excitement and momentum there within an acquisition about 18 months ago around data quality, data observability, which we believe is an enormous opportunity. Of course, data quality isn't new, but I think there's a lot of reasons why we're so excited about quality and observability now. One is around leveraging ai, machine learning, again to drive more automation. And the second is that those data pipelines that are now being created in the cloud, in these modern data architecture arch architectures, they've become mission critical. They've become real time. And so monitoring, observing those data pipelines continuously has become absolutely critical so that they're really excited about about that as well. And on the organizational side, I'm sure you've heard a term around kind of data mesh, something that's gaining a lot of momentum, rightfully so. It's really the type of governance that we always believe. Then federated focused on domains, giving a lot of ownership to different teams. I think that's the way to scale data organizations. And so that aligns really well with our vision and, and from a product perspective, we've seen a lot of momentum with our customers there as well. >>Yeah, you know, a couple things there. I mean, the acquisition of i l dq, you know, Kirk Hasselbeck and, and their team, it's interesting, you know, the whole data quality used to be this back office function and, and really confined to highly regulated industries. It's come to the front office, it's top of mind for chief data officers, data mesh. You mentioned you guys are a connective tissue for all these different nodes on the data mesh. That's key. And of course we see you at all the shows. You're, you're a critical part of many ecosystems and you're developing your own ecosystem. So let's chat a little bit about the, the products. We're gonna go deeper in into products later on at, at Data Citizens 22, but we know you're debuting some, some new innovations, you know, whether it's, you know, the, the the under the covers in security, sort of making data more accessible for people just dealing with workflows and processes as you talked about earlier. Tell us a little bit about what you're introducing. >>Yeah, absolutely. We're super excited, a ton of innovation. And if we think about the big theme and like, like I said, we're still relatively early in this, in this journey towards kind of that mission of data intelligence that really bolts and compelling mission, either customers are still start, are just starting on that, on that journey. We wanna make it as easy as possible for the, for our organization to actually get started because we know that's important that they do. And for our organization and customers that have been with us for some time, there's still a tremendous amount of opportunity to kind of expand the platform further. And again, to make it easier for really to, to accomplish that mission and vision around that data citizen that everyone has access to trustworthy data in a very easy, easy way. So that's really the theme of a lot of the innovation that we're driving. >>A lot of kind of ease of adoption, ease of use, but also then how do we make sure that lio becomes this kind of mission critical enterprise platform from a security performance architecture scale supportability that we're truly able to deliver that kind of an enterprise mission critical platform. And so that's the big theme from an innovation perspective, From a product perspective, a lot of new innovation that we're really excited about. A couple of highlights. One is around data marketplace. Again, a lot of our customers have plans in that direction, how to make it easy. How do we make, how do we make available to true kind of shopping experience that anybody in your organization can, in a very easy search first way, find the right data product, find the right dataset, that data can then consume usage analytics. How do you, how do we help organizations drive adoption, tell them where they're working really well and where they have opportunities homepages again to, to make things easy for, for people, for anyone in your organization to kind of get started with ppia, you mentioned workflow designer, again, we have a very powerful enterprise platform. >>One of our key differentiators is the ability to really drive a lot of automation through workflows. And now we provided a new low code, no code kind of workflow designer experience. So, so really customers can take it to the next level. There's a lot more new product around K Bear Protect, which in partnership with Snowflake, which has been a strategic investor in kib, focused on how do we make access governance easier? How do we, how do we, how are we able to make sure that as you move to the cloud, things like access management, masking around sensitive data, PII data is managed as much more effective, effective rate, really excited about that product. There's more around data quality. Again, how do we, how do we get that deployed as easily and quickly and widely as we can? Moving that to the cloud has been a big part of our strategy. >>So we launch more data quality cloud product as well as making use of those, those native compute capabilities in platforms like Snowflake, Data, Bricks, Google, Amazon, and others. And so we are bettering a capability, a capability that we call push down. So actually pushing down the computer and data quality, the monitoring into the underlying platform, which again, from a scale performance and ease of use perspective is gonna make a massive difference. And then more broadly, we, we talked a little bit about the ecosystem. Again, integrations, we talk about being able to connect to every source. Integrations are absolutely critical and we're really excited to deliver new integrations with Snowflake, Azure and Google Cloud storage as well. So there's a lot coming out. The, the team has been work at work really hard and we are really, really excited about what we are coming, what we're bringing to markets. >>Yeah, a lot going on there. I wonder if you could give us your, your closing thoughts. I mean, you, you talked about, you know, the marketplace, you know, you think about data mesh, you think of data as product, one of the key principles you think about monetization. This is really different than what we've been used to in data, which is just getting the technology to work has been been so hard. So how do you see sort of the future and, you know, give us the, your closing thoughts please? >>Yeah, absolutely. And I, and I think we we're really at this pivotal moment, and I think you said it well. We, we all know the constraint and the challenges with data, how to actually do data at scale. And while we've seen a ton of innovation on the infrastructure side, we fundamentally believe that just getting a faster database is important, but it's not gonna fully solve the challenges and truly kind of deliver on the opportunity. And that's why now is really the time to deliver this data intelligence vision, this data intelligence platform. We are still early, making it as easy as we can. It's kind of, of our, it's our mission. And so I'm really, really excited to see what we, what we are gonna, how the marks gonna evolve over the next, next few quarters and years. I think the trend is clearly there when we talk about data mesh, this kind of federated approach folks on data products is just another signal that we believe that a lot of our organization are now at the time. >>The understanding need to go beyond just the technology. I really, really think about how do we actually scale data as a business function, just like we've done with it, with, with hr, with, with sales and marketing, with finance. That's how we need to think about data. I think now is the time given the economic environment that we are in much more focus on control, much more focused on productivity efficiency and now's the time. We need to look beyond just the technology and infrastructure to think of how to scale data, how to manage data at scale. >>Yeah, it's a new era. The next 10 years of data won't be like the last, as I always say. Felix, thanks so much and good luck in, in San Diego. I know you're gonna crush it out there. >>Thank you Dave. >>Yeah, it's a great spot for an in-person event and, and of course the content post event is gonna be available@collibra.com and you can of course catch the cube coverage@thecube.net and all the news@siliconangle.com. This is Dave Valante for the cube, your leader in enterprise and emerging tech coverage. >>Hi, I'm Jay from Collibra's Data Office. Today I want to talk to you about Collibra's data intelligence cloud. We often say Collibra is a single system of engagement for all of your data. Now, when I say data, I mean data in the broadest sense of the word, including reference and metadata. Think of metrics, reports, APIs, systems, policies, and even business processes that produce or consume data. Now, the beauty of this platform is that it ensures all of your users have an easy way to find, understand, trust, and access data. But how do you get started? Well, here are seven steps to help you get going. One, start with the data. What's data intelligence? Without data leverage the Collibra data catalog to automatically profile and classify your enterprise data wherever that data lives, databases, data lakes or data warehouses, whether on the cloud or on premise. >>Two, you'll then wanna organize the data and you'll do that with data communities. This can be by department, find a business or functional team, however your organization organizes work and accountability. And for that you'll establish community owners, communities, make it easy for people to navigate through the platform, find the data and will help create a sense of belonging for users. An important and related side note here, we find it's typical in many organizations that data is thought of is just an asset and IT and data offices are viewed as the owners of it and who are really the central teams performing analytics as a service provider to the enterprise. We believe data is more than an asset, it's a true product that can be converted to value. And that also means establishing business ownership of data where that strategy and ROI come together with subject matter expertise. >>Okay, three. Next, back to those communities there, the data owners should explain and define their data, not just the tables and columns, but also the related business terms, metrics and KPIs. These objects we call these assets are typically organized into business glossaries and data dictionaries. I definitely recommend starting with the topics that are most important to the business. Four, those steps that enable you and your users to have some fun with it. Linking everything together builds your knowledge graph and also known as a metadata graph by linking or relating these assets together. For example, a data set to a KPI to a report now enables your users to see what we call the lineage diagram that visualizes where the data in your dashboards actually came from and what the data means and who's responsible for it. Speaking of which, here's five. Leverage the calibra trusted business reporting solution on the marketplace, which comes with workflows for those owners to certify their reports, KPIs, and data sets. >>This helps them force their trust in their data. Six, easy to navigate dashboards or landing pages right in your platform for your company's business processes are the most effective way for everyone to better understand and take action on data. Here's a pro tip, use the dashboard design kit on the marketplace to help you build compelling dashboards. Finally, seven, promote the value of this to your users and be sure to schedule enablement office hours and new employee onboarding sessions to get folks excited about what you've built and implemented. Better yet, invite all of those community and data owners to these sessions so that they can show off the value that they've created. Those are my seven tips to get going with Collibra. I hope these have been useful. For more information, be sure to visit collibra.com. >>Welcome to the Cube's coverage of Data Citizens 2022 Collibra's customer event. My name is Dave Valante. With us is Kirk Hasselbeck, who's the vice president of Data Quality of Collibra Kirk, good to see you. Welcome. >>Thanks for having me, Dave. Excited to be here. >>You bet. Okay, we're gonna discuss data quality observability. It's a hot trend right now. You founded a data quality company, OWL dq, and it was acquired by Collibra last year. Congratulations. And now you lead data quality at Collibra. So we're hearing a lot about data quality right now. Why is it such a priority? Take us through your thoughts on that. >>Yeah, absolutely. It's, it's definitely exciting times for data quality, which you're right, has been around for a long time. So why now and why is it so much more exciting than it used to be? I think it's a bit stale, but we all know that companies use more data than ever before and the variety has changed and the volume has grown. And, and while I think that remains true, there are a couple other hidden factors at play that everyone's so interested in as, as to why this is becoming so important now. And, and I guess you could kind of break this down simply and think about if Dave, you and I were gonna build, you know, a new healthcare application and monitor the heartbeat of individuals, imagine if we get that wrong, you know, what the ramifications could be, what, what those incidents would look like, or maybe better yet, we try to build a, a new trading algorithm with a crossover strategy where the 50 day crosses the, the 10 day average. >>And imagine if the data underlying the inputs to that is incorrect. We will probably have major financial ramifications in that sense. So, you know, it kind of starts there where everybody's realizing that we're all data companies and if we are using bad data, we're likely making incorrect business decisions. But I think there's kind of two other things at play. You know, I, I bought a car not too long ago and my dad called and said, How many cylinders does it have? And I realized in that moment, you know, I might have failed him because, cause I didn't know. And, and I used to ask those types of questions about any lock brakes and cylinders and, and you know, if it's manual or, or automatic and, and I realized I now just buy a car that I hope works. And it's so complicated with all the computer chips, I, I really don't know that much about it. >>And, and that's what's happening with data. We're just loading so much of it. And it's so complex that the way companies consume them in the IT function is that they bring in a lot of data and then they syndicate it out to the business. And it turns out that the, the individuals loading and consuming all of this data for the company actually may not know that much about the data itself, and that's not even their job anymore. So we'll talk more about that in a minute, but that's really what's setting the foreground for this observability play and why everybody's so interested. It, it's because we're becoming less close to the intricacies of the data and we just expect it to always be there and be correct. >>You know, the other thing too about data quality, and for years we did the MIT CDO IQ event, we didn't do it last year, Covid messed everything up. But the observation I would make there thoughts is, is it data quality? Used to be information quality used to be this back office function, and then it became sort of front office with financial services and government and healthcare, these highly regulated industries. And then the whole chief data officer thing happened and people were realizing, well, they sort of flipped the bit from sort of a data as a, a risk to data as a, as an asset. And now as we say, we're gonna talk about observability. And so it's really become front and center just the whole quality issue because data's so fundamental, hasn't it? >>Yeah, absolutely. I mean, let's imagine we pull up our phones right now and I go to my, my favorite stock ticker app and I check out the NASDAQ market cap. I really have no idea if that's the correct number. I know it's a number, it looks large, it's in a numeric field. And, and that's kind of what's going on. There's, there's so many numbers and they're coming from all of these different sources and data providers and they're getting consumed and passed along. But there isn't really a way to tactically put controls on every number and metric across every field we plan to monitor, but with the scale that we've achieved in early days, even before calibra. And what's been so exciting is we have these types of observation techniques, these data monitors that can actually track past performance of every field at scale. And why that's so interesting and why I think the CDO is, is listening right intently nowadays to this topic is, so maybe we could surface all of these problems with the right solution of data observability and with the right scale and then just be alerted on breaking trends. So we're sort of shifting away from this world of must write a condition and then when that condition breaks, that was always known as a break record. But what about breaking trends and root cause analysis? And is it possible to do that, you know, with less human intervention? And so I think most people are seeing now that it's going to have to be a software tool and a computer system. It's, it's not ever going to be based on one or two domain experts anymore. >>So, So how does data observability relate to data quality? Are they sort of two sides of the same coin? Are they, are they cousins? What's your perspective on that? >>Yeah, it's, it's super interesting. It's an emerging market. So the language is changing a lot of the topic and areas changing the way that I like to say it or break it down because the, the lingo is constantly moving is, you know, as a target on this space is really breaking records versus breaking trends. And I could write a condition when this thing happens, it's wrong and when it doesn't it's correct. Or I could look for a trend and I'll give you a good example. You know, everybody's talking about fresh data and stale data and, and why would that matter? Well, if your data never arrived or only part of it arrived or didn't arrive on time, it's likely stale and there will not be a condition that you could write that would show you all the good in the bads. That was kind of your, your traditional approach of data quality break records. But your modern day approach is you lost a significant portion of your data, or it did not arrive on time to make that decision accurately on time. And that's a hidden concern. Some people call this freshness, we call it stale data, but it all points to the same idea of the thing that you're observing may not be a data quality condition anymore. It may be a breakdown in the data pipeline. And with thousands of data pipelines in play for every company out there there, there's more than a couple of these happening every day. >>So what's the Collibra angle on all this stuff made the acquisition, you got data quality observability coming together, you guys have a lot of expertise in, in this area, but you hear providence of data, you just talked about, you know, stale data, you know, the, the whole trend toward real time. How is Calibra approaching the problem and what's unique about your approach? >>Well, I think where we're fortunate is with our background, myself and team, we sort of lived this problem for a long time, you know, in, in the Wall Street days about a decade ago. And we saw it from many different angles. And what we came up with before it was called data observability or reliability was basically the, the underpinnings of that. So we're a little bit ahead of the curve there when most people evaluate our solution, it's more advanced than some of the observation techniques that that currently exist. But we've also always covered data quality and we believe that people want to know more, they need more insights, and they want to see break records and breaking trends together so they can correlate the root cause. And we hear that all the time. I have so many things going wrong, just show me the big picture, help me find the thing that if I were to fix it today would make the most impact. So we're really focused on root cause analysis, business impact, connecting it with lineage and catalog metadata. And as that grows, you can actually achieve total data governance at this point with the acquisition of what was a Lineage company years ago, and then my company Ldq now Collibra, Data quality Collibra may be the best positioned for total data governance and intelligence in the space. >>Well, you mentioned financial services a couple of times and some examples, remember the flash crash in 2010. Nobody had any idea what that was, you know, they just said, Oh, it's a glitch, you know, so they didn't understand the root cause of it. So this is a really interesting topic to me. So we know at Data Citizens 22 that you're announcing, you gotta announce new products, right? You're yearly event what's, what's new. Give us a sense as to what products are coming out, but specifically around data quality and observability. >>Absolutely. There's this, you know, there's always a next thing on the forefront. And the one right now is these hyperscalers in the cloud. So you have databases like Snowflake and Big Query and Data Bricks is Delta Lake and SQL Pushdown. And ultimately what that means is a lot of people are storing in loading data even faster in a SaaS like model. And we've started to hook in to these databases. And while we've always worked with the the same databases in the past, they're supported today we're doing something called Native Database pushdown, where the entire compute and data activity happens in the database. And why that is so interesting and powerful now is everyone's concerned with something called Egress. Did your, my data that I've spent all this time and money with my security team securing ever leave my hands, did it ever leave my secure VPC as they call it? >>And with these native integrations that we're building and about to unveil, here's kind of a sneak peek for, for next week at Data Citizens. We're now doing all compute and data operations in databases like Snowflake. And what that means is with no install and no configuration, you could log into the Collibra data quality app and have all of your data quality running inside the database that you've probably already picked as your your go forward team selection secured database of choice. So we're really excited about that. And I think if you look at the whole landscape of network cost, egress, cost, data storage and compute, what people are realizing is it's extremely efficient to do it in the way that we're about to release here next week. >>So this is interesting because what you just described, you know, you mentioned Snowflake, you mentioned Google, Oh actually you mentioned yeah, data bricks. You know, Snowflake has the data cloud. If you put everything in the data cloud, okay, you're cool, but then Google's got the open data cloud. If you heard, you know, Google next and now data bricks doesn't call it the data cloud, but they have like the open source data cloud. So you have all these different approaches and there's really no way up until now I'm, I'm hearing to, to really understand the relationships between all those and have confidence across, you know, it's like Jak Dani, you should just be a note on the mesh. And I don't care if it's a data warehouse or a data lake or where it comes from, but it's a point on that mesh and I need tooling to be able to have confidence that my data is governed and has the proper lineage, providence. And, and, and that's what you're bringing to the table, Is that right? Did I get that right? >>Yeah, that's right. And it's, for us, it's, it's not that we haven't been working with those great cloud databases, but it's the fact that we can send them the instructions now, we can send them the, the operating ability to crunch all of the calculations, the governance, the quality, and get the answers. And what that's doing, it's basically zero network costs, zero egress cost, zero latency of time. And so when you were to log into Big Query tomorrow using our tool or like, or say Snowflake for example, you have instant data quality metrics, instant profiling, instant lineage and access privacy controls, things of that nature that just become less onerous. What we're seeing is there's so much technology out there, just like all of the major brands that you mentioned, but how do we make it easier? The future is about less clicks, faster time to value, faster scale, and eventually lower cost. And, and we think that this positions us to be the leader there. >>I love this example because, you know, Barry talks about, wow, the cloud guys are gonna own the world and, and of course now we're seeing that the ecosystem is finding so much white space to add value, connect across cloud. Sometimes we call it super cloud and so, or inter clouding. All right, Kirk, give us your, your final thoughts and on on the trends that we've talked about and Data Citizens 22. >>Absolutely. Well, I think, you know, one big trend is discovery and classification. Seeing that across the board, people used to know it was a zip code and nowadays with the amount of data that's out there, they wanna know where everything is, where their sensitive data is. If it's redundant, tell me everything inside of three to five seconds. And with that comes, they want to know in all of these hyperscale databases how fast they can get controls and insights out of their tools. So I think we're gonna see more one click solutions, more SAS based solutions and solutions that hopefully prove faster time to value on, on all of these modern cloud platforms. >>Excellent. All right, Kurt Hasselbeck, thanks so much for coming on the Cube and previewing Data Citizens 22. Appreciate it. >>Thanks for having me, Dave. >>You're welcome. Right, and thank you for watching. Keep it right there for more coverage from the Cube. Welcome to the Cube's virtual Coverage of Data Citizens 2022. My name is Dave Valante and I'm here with Laura Sellers, who's the Chief Product Officer at Collibra, the host of Data Citizens. Laura, welcome. Good to see you. >>Thank you. Nice to be here. >>Yeah, your keynote at Data Citizens this year focused on, you know, your mission to drive ease of use and scale. Now when I think about historically fast access to the right data at the right time in a form that's really easily consumable, it's been kind of challenging, especially for business users. Can can you explain to our audience why this matters so much and what's actually different today in the data ecosystem to make this a reality? >>Yeah, definitely. So I think what we really need and what I hear from customers every single day is that we need a new approach to data management and our product teams. What inspired me to come to Calibra a little bit a over a year ago was really the fact that they're very focused on bringing trusted data to more users across more sources for more use cases. And so as we look at what we're announcing with these innovations of ease of use and scale, it's really about making teams more productive in getting started with and the ability to manage data across the entire organization. So we've been very focused on richer experiences, a broader ecosystem of partners, as well as a platform that delivers performance, scale and security that our users and teams need and demand. So as we look at, Oh, go ahead. >>I was gonna say, you know, when I look back at like the last 10 years, it was all about getting the technology to work and it was just so complicated. But, but please carry on. I'd love to hear more about this. >>Yeah, I, I really, you know, Collibra is a system of engagement for data and we really are working on bringing that entire system of engagement to life for everyone to leverage here and now. So what we're announcing from our ease of use side of the world is first our data marketplace. This is the ability for all users to discover and access data quickly and easily shop for it, if you will. The next thing that we're also introducing is the new homepage. It's really about the ability to drive adoption and have users find data more quickly. And then the two more areas of the ease of use side of the world is our world of usage analytics. And one of the big pushes and passions we have at Collibra is to help with this data driven culture that all companies are trying to create. And also helping with data literacy, with something like usage analytics, it's really about driving adoption of the CLE platform, understanding what's working, who's accessing it, what's not. And then finally we're also introducing what's called workflow designer. And we love our workflows at Libra, it's a big differentiator to be able to automate business processes. The designer is really about a way for more people to be able to create those workflows, collaborate on those workflow flows, as well as people to be able to easily interact with them. So a lot of exciting things when it comes to ease of use to make it easier for all users to find data. >>Y yes, there's definitely a lot to unpack there. I I, you know, you mentioned this idea of, of of, of shopping for the data. That's interesting to me. Why this analogy, metaphor or analogy, I always get those confused. I let's go with analogy. Why is it so important to data consumers? >>I think when you look at the world of data, and I talked about this system of engagement, it's really about making it more accessible to the masses. And what users are used to is a shopping experience like your Amazon, if you will. And so having a consumer grade experience where users can quickly go in and find the data, trust that data, understand where the data's coming from, and then be able to quickly access it, is the idea of being able to shop for it, just making it as simple as possible and really speeding the time to value for any of the business analysts, data analysts out there. >>Yeah, I think when you, you, you see a lot of discussion about rethinking data architectures, putting data in the hands of the users and business people, decentralized data and of course that's awesome. I love that. But of course then you have to have self-service infrastructure and you have to have governance. And those are really challenging. And I think so many organizations, they're facing adoption challenges, you know, when it comes to enabling teams generally, especially domain experts to adopt new data technologies, you know, like the, the tech comes fast and furious. You got all these open source projects and get really confusing. Of course it risks security, governance and all that good stuff. You got all this jargon. So where do you see, you know, the friction in adopting new data technologies? What's your point of view and how can organizations overcome these challenges? >>You're, you're dead on. There's so much technology and there's so much to stay on top of, which is part of the friction, right? It's just being able to stay ahead of, of and understand all the technologies that are coming. You also look at as there's so many more sources of data and people are migrating data to the cloud and they're migrating to new sources. Where the friction comes is really that ability to understand where the data came from, where it's moving to, and then also to be able to put the access controls on top of it. So people are only getting access to the data that they should be getting access to. So one of the other things we're announcing with, with all of the innovations that are coming is what we're doing around performance and scale. So with all of the data movement, with all of the data that's out there, the first thing we're launching in the world of performance and scale is our world of data quality. >>It's something that Collibra has been working on for the past year and a half, but we're launching the ability to have data quality in the cloud. So it's currently an on-premise offering, but we'll now be able to carry that over into the cloud for us to manage that way. We're also introducing the ability to push down data quality into Snowflake. So this is, again, one of those challenges is making sure that that data that you have is d is is high quality as you move forward. And so really another, we're just reducing friction. You already have Snowflake stood up. It's not another machine for you to manage, it's just push down capabilities into Snowflake to be able to track that quality. Another thing that we're launching with that is what we call Collibra Protect. And this is that ability for users to be able to ingest metadata, understand where the PII data is, and then set policies up on top of it. So very quickly be able to set policies and have them enforced at the data level. So anybody in the organization is only getting access to the data they should have access to. >>Here's Topica data quality is interesting. It's something that I've followed for a number of years. It used to be a back office function, you know, and really confined only to highly regulated industries like financial services and healthcare and government. You know, you look back over a decade ago, you didn't have this worry about personal information, g gdpr, and, you know, California Consumer Privacy Act all becomes, becomes so much important. The cloud is really changed things in terms of performance and scale and of course partnering for, for, with Snowflake it's all about sharing data and monetization, anything but a back office function. So it was kind of smart that you guys were early on and of course attracting them and as a, as an investor as well was very strong validation. What can you tell us about the nature of the relationship with Snowflake and specifically inter interested in sort of joint engineering or, and product innovation efforts, you know, beyond the standard go to market stuff? >>Definitely. So you mentioned there were a strategic investor in Calibra about a year ago. A little less than that I guess. We've been working with them though for over a year really tightly with their product and engineering teams to make sure that Collibra is adding real value. Our unified platform is touching pieces of our unified platform or touching all pieces of Snowflake. And when I say that, what I mean is we're first, you know, able to ingest data with Snowflake, which, which has always existed. We're able to profile and classify that data we're announcing with Calibra Protect this week that you're now able to create those policies on top of Snowflake and have them enforce. So again, people can get more value out of their snowflake more quickly as far as time to value with, with our policies for all business users to be able to create. >>We're also announcing Snowflake Lineage 2.0. So this is the ability to take stored procedures in Snowflake and understand the lineage of where did the data come from, how was it transformed with within Snowflake as well as the data quality. Pushdown, as I mentioned, data quality, you brought it up. It is a new, it is a, a big industry push and you know, one of the things I think Gartner mentioned is people are losing up to $15 million without having great data quality. So this push down capability for Snowflake really is again, a big ease of use push for us at Collibra of that ability to, to push it into snowflake, take advantage of the data, the data source, and the engine that already lives there and get the right and make sure you have the right quality. >>I mean, the nice thing about Snowflake, if you play in the Snowflake sandbox, you, you, you, you can get sort of a, you know, high degree of confidence that the data sharing can be done in a safe way. Bringing, you know, Collibra into the, into the story allows me to have that data quality and, and that governance that I, that I need. You know, we've said many times on the cube that one of the notable differences in cloud this decade versus last decade, I mean ob there are obvious differences just in terms of scale and scope, but it's shaping up to be about the strength of the ecosystems. That's really a hallmark of these big cloud players. I mean they're, it's a key factor for innovating, accelerating product delivery, filling gaps in, in the hyperscale offerings cuz you got more stack, you know, mature stack capabilities and you know, it creates this flywheel momentum as we often say. But, so my question is, how do you work with the hyperscalers? Like whether it's AWS or Google, whomever, and what do you see as your role and what's the Collibra sweet spot? >>Yeah, definitely. So, you know, one of the things I mentioned early on is the broader ecosystem of partners is what it's all about. And so we have that strong partnership with Snowflake. We also are doing more with Google around, you know, GCP and kbra protect there, but also tighter data plex integration. So similar to what you've seen with our strategic moves around Snowflake and, and really covering the broad ecosystem of what Collibra can do on top of that data source. We're extending that to the world of Google as well and the world of data plex. We also have great partners in SI's Infosys is somebody we spoke with at the conference who's done a lot of great work with Levi's as they're really important to help people with their whole data strategy and driving that data driven culture and, and Collibra being the core of it. >>Hi Laura, we're gonna, we're gonna end it there, but I wonder if you could kind of put a bow on, you know, this year, the event your, your perspectives. So just give us your closing thoughts. >>Yeah, definitely. So I, I wanna say this is one of the biggest releases Collibra's ever had. Definitely the biggest one since I've been with the company a little over a year. We have all these great new product innovations coming to really drive the ease of use to make data more valuable for users everywhere and, and companies everywhere. And so it's all about everybody being able to easily find, understand, and trust and get access to that data going forward. >>Well congratulations on all the pro progress. It was great to have you on the cube first time I believe, and really appreciate you, you taking the time with us. >>Yes, thank you for your time. >>You're very welcome. Okay, you're watching the coverage of Data Citizens 2022 on the cube, your leader in enterprise and emerging tech coverage. >>So data modernization oftentimes means moving some of your storage and computer to the cloud where you get the benefit of scale and security and so on. But ultimately it doesn't take away the silos that you have. We have more locations, more tools and more processes with which we try to get value from this data. To do that at scale in an organization, people involved in this process, they have to understand each other. So you need to unite those people across those tools, processes, and systems with a shared language. When I say customer, do you understand the same thing as you hearing customer? Are we counting them in the same way so that shared language unites us and that gives the opportunity for the organization as a whole to get the maximum value out of their data assets and then they can democratize data so everyone can properly use that shared language to find, understand, and trust the data asset that's available. >>And that's where Collibra comes in. We provide a centralized system of engagement that works across all of those locations and combines all of those different user types across the whole business. At Collibra, we say United by data and that also means that we're united by data with our customers. So here is some data about some of our customers. There was the case of an online do it yourself platform who grew their revenue almost three times from a marketing campaign that provided the right product in the right hands of the right people. In other case that comes to mind is from a financial services organization who saved over 800 K every year because they were able to reuse the same data in different kinds of reports and before there was spread out over different tools and processes and silos, and now the platform brought them together so they realized, oh, we're actually using the same data, let's find a way to make this more efficient. And the last example that comes to mind is that of a large home loan, home mortgage, mortgage loan provider where they have a very complex landscape, a very complex architecture legacy in the cloud, et cetera. And they're using our software, they're using our platform to unite all the people and those processes and tools to get a common view of data to manage their compliance at scale. >>Hey everyone, I'm Lisa Martin covering Data Citizens 22, brought to you by Collibra. This next conversation is gonna focus on the importance of data culture. One of our Cube alumni is back, Stan Christians is Collibra's co-founder and it's Chief Data citizens. Stan, it's great to have you back on the cube. >>Hey Lisa, nice to be. >>So we're gonna be talking about the importance of data culture, data intelligence, maturity, all those great things. When we think about the data revolution that every business is going through, you know, it's so much more than technology innovation. It also really re requires cultural transformation, community transformation. Those are challenging for customers to undertake. Talk to us about what you mean by data citizenship and the role that creating a data culture plays in that journey. >>Right. So as you know, our event is called Data Citizens because we believe that in the end, a data citizen is anyone who uses data to do their job. And we believe that today's organizations, you have a lot of people, most of the employees in an organization are somehow gonna to be a data citizen, right? So you need to make sure that these people are aware of it. You need that. People have skills and competencies to do with data what necessary and that's on, all right? So what does it mean to have a good data culture? It means that if you're building a beautiful dashboard to try and convince your boss, we need to make this decision that your boss is also open to and able to interpret, you know, the data presented in dashboard to actually make that decision and take that action. Right? >>And once you have that why to the organization, that's when you have a good data culture. Now that's continuous effort for most organizations because they're always moving, somehow they're hiring new people and it has to be continuous effort because we've seen that on the hand. Organizations continue challenged their data sources and where all the data is flowing, right? Which in itself creates a lot of risk. But also on the other set hand of the equation, you have the benefit. You know, you might look at regulatory drivers like, we have to do this, right? But it's, it's much better right now to consider the competitive drivers, for example, and we did an IDC study earlier this year, quite interesting. I can recommend anyone to it. And one of the conclusions they found as they surveyed over a thousand people across organizations worldwide is that the ones who are higher in maturity. >>So the, the organizations that really look at data as an asset, look at data as a product and actively try to be better at it, don't have three times as good a business outcome as the ones who are lower on the maturity scale, right? So you can say, ok, I'm doing this, you know, data culture for everyone, awakening them up as data citizens. I'm doing this for competitive reasons, I'm doing this re reasons you're trying to bring both of those together and the ones that get data intelligence right, are successful and competitive. That's, and that's what we're seeing out there in the market. >>Absolutely. We know that just generally stand right, the organizations that are, are really creating a, a data culture and enabling everybody within the organization to become data citizens are, We know that in theory they're more competitive, they're more successful. But the IDC study that you just mentioned demonstrates they're three times more successful and competitive than their peers. Talk about how Collibra advises customers to create that community, that culture of data when it might be challenging for an organization to adapt culturally. >>Of course, of course it's difficult for an organization to adapt but it's also necessary, as you just said, imagine that, you know, you're a modern day organization, laptops, what have you, you're not using those, right? Or you know, you're delivering them throughout organization, but not enabling your colleagues to actually do something with that asset. Same thing as through with data today, right? If you're not properly using the data asset and competitors are, they're gonna to get more advantage. So as to how you get this done, establish this. There's angles to look at, Lisa. So one angle is obviously the leadership whereby whoever is the boss of data in the organization, you typically have multiple bosses there, like achieve data officers. Sometimes there's, there's multiple, but they may have a different title, right? So I'm just gonna summarize it as a data leader for a second. >>So whoever that is, they need to make sure that there's a clear vision, a clear strategy for data. And that strategy needs to include the monetization aspect. How are you going to get value from data? Yes. Now that's one part because then you can leadership in the organization and also the business value. And that's important. Cause those people, their job in essence really is to make everyone in the organization think about data as an asset. And I think that's the second part of the equation of getting that right, is it's not enough to just have that leadership out there, but you also have to get the hearts and minds of the data champions across the organization. You, I really have to win them over. And if you have those two combined and obviously a good technology to, you know, connect those people and have them execute on their responsibilities such as a data intelligence platform like s then the in place to really start upgrading that culture inch by inch if you'll, >>Yes, I like that. The recipe for success. So you are the co-founder of Collibra. You've worn many different hats along this journey. Now you're building Collibra's own data office. I like how before we went live, we were talking about Calibra is drinking its own champagne. I always loved to hear stories about that. You're speaking at Data Citizens 2022. Talk to us about how you are building a data culture within Collibra and what maybe some of the specific projects are that Collibra's data office is working on. >>Yes, and it is indeed data citizens. There are a ton of speaks here, are very excited. You know, we have Barb from m MIT speaking about data monetization. We have Dilla at the last minute. So really exciting agen agenda. Can't wait to get back out there essentially. So over the years at, we've doing this since two and eight, so a good years and I think we have another decade of work ahead in the market, just to be very clear. Data is here to stick around as are we. And myself, you know, when you start a company, we were for people in a, if you, so everybody's wearing all sorts of hat at time. But over the years I've run, you know, presales that sales partnerships, product cetera. And as our company got a little bit biggish, we're now thousand two. Something like people in the company. >>I believe systems and processes become a lot important. So we said you CBRA isn't the size our customers we're getting there in of organization structure, process systems, et cetera. So we said it's really time for us to put our money where is and to our own data office, which is what we were seeing customers', organizations worldwide. And they organizations have HR units, they have a finance unit and over time they'll all have a department if you'll, that is responsible somehow for the data. So we said, ok, let's try to set an examples that other people can take away with it, right? Can take away from it. So we set up a data strategy, we started building data products, took care of the data infrastructure. That's sort of good stuff. And in doing all of that, ISA exactly as you said, we said, okay, we need to also use our product and our own practices and from that use, learn how we can make the product better, learn how we make, can make the practice better and share that learning with all the, and on, on the Monday mornings, we sometimes refer to eating our dog foods on Friday evenings. >>We referred to that drinking our own champagne. I like it. So we, we had a, we had the driver to do this. You know, there's a clear business reason. So we involved, we included that in the data strategy and that's a little bit of our origin. Now how, how do we organize this? We have three pillars, and by no means is this a template that everyone should, this is just the organization that works at our company, but it can serve as an inspiration. So we have a pillar, which is data science. The data product builders, if you'll or the people who help the business build data products. We have the data engineers who help keep the lights on for that data platform to make sure that the products, the data products can run, the data can flow and you know, the quality can be checked. >>And then we have a data intelligence or data governance builders where we have those data governance, data intelligence stakeholders who help the business as a sort of data partner to the business stakeholders. So that's how we've organized it. And then we started following the CBRA approach, which is, well, what are the challenges that our business stakeholders have in hr, finance, sales, marketing all over? And how can data help overcome those challenges? And from those use cases, we then just started to build a map and started execution use of the use case. And a important ones are very simple. We them with our, our customers as well, people talking about the cata, right? The catalog for the data scientists to know what's in their data lake, for example, and for the people in and privacy. So they have their process registry and they can see how the data flows. >>So that's a starting place and that turns into a marketplace so that if new analysts and data citizens join kbra, they immediately have a place to go to, to look at, see, ok, what data is out there for me as an analyst or a data scientist or whatever to do my job, right? So they can immediately get access data. And another one that we is around trusted business. We're seeing that since, you know, self-service BI allowed everyone to make beautiful dashboards, you know, pie, pie charts. I always, my pet pee is the pie chart because I love buy and you shouldn't always be using pie charts. But essentially there's become proliferation of those reports. And now executives don't really know, okay, should I trust this report or that report the reporting on the same thing. But the numbers seem different, right? So that's why we have trusted this reporting. So we know if a, the dashboard, a data product essentially is built, we not that all the right steps are being followed and that whoever is consuming that can be quite confident in the result either, Right. And that silver browser, right? Absolutely >>Decay. >>Exactly. Yes, >>Absolutely. Talk a little bit about some of the, the key performance indicators that you're using to measure the success of the data office. What are some of those KPIs? >>KPIs and measuring is a big topic in the, in the data chief data officer profession, I would say, and again, it always varies with to your organization, but there's a few that we use that might be of interest. Use those pillars, right? And we have metrics across those pillars. So for example, a pillar on the data engineering side is gonna be more related to that uptime, right? Are the, is the data platform up and running? Are the data products up and running? Is the quality in them good enough? Is it going up? Is it going down? What's the usage? But also, and especially if you're in the cloud and if consumption's a big thing, you have metrics around cost, for example, right? So that's one set of examples. Another one is around the data sciences and products. Are people using them? Are they getting value from it? >>Can we calculate that value in ay perspective, right? Yeah. So that we can to the rest of the business continue to say we're tracking all those numbers and those numbers indicate that value is generated and how much value estimated in that region. And then you have some data intelligence, data governance metrics, which is, for example, you have a number of domains in a data mesh. People talk about being the owner of a data domain, for example, like product or, or customer. So how many of those domains do you have covered? How many of them are already part of the program? How many of them have owners assigned? How well are these owners organized, executing on their responsibilities? How many tickets are open closed? How many data products are built according to process? And so and so forth. So these are an set of examples of, of KPIs. There's a, there's a lot more, but hopefully those can already inspire the audience. >>Absolutely. So we've, we've talked about the rise cheap data offices, it's only accelerating. You mentioned this is like a 10 year journey. So if you were to look into a crystal ball, what do you see in terms of the maturation of data offices over the next decade? >>So we, we've seen indeed the, the role sort of grow up, I think in, in thousand 10 there may have been like 10 achieve data officers or something. Gartner has exact numbers on them, but then they grew, you know, industries and the number is estimated to be about 20,000 right now. Wow. And they evolved in a sort of stack of competencies, defensive data strategy, because the first chief data officers were more regulatory driven, offensive data strategy support for the digital program. And now all about data products, right? So as a data leader, you now need all of those competences and need to include them in, in your strategy. >>How is that going to evolve for the next couple of years? I wish I had one of those balls, right? But essentially I think for the next couple of years there's gonna be a lot of people, you know, still moving along with those four levels of the stack. A lot of people I see are still in version one and version two of the chief data. So you'll see over the years that's gonna evolve more digital and more data products. So for next years, my, my prediction is it's all products because it's an immediate link between data and, and the essentially, right? Right. So that's gonna be important and quite likely a new, some new things will be added on, which nobody can predict yet. But we'll see those pop up in a few years. I think there's gonna be a continued challenge for the chief officer role to become a real executive role as opposed to, you know, somebody who claims that they're executive, but then they're not, right? >>So the real reporting level into the board, into the CEO for example, will continue to be a challenging point. But the ones who do get that done will be the ones that are successful and the ones who get that will the ones that do it on the basis of data monetization, right? Connecting value to the data and making that value clear to all the data citizens in the organization, right? And in that sense, they'll need to have both, you know, technical audiences and non-technical audiences aligned of course. And they'll need to focus on adoption. Again, it's not enough to just have your data office be involved in this. It's really important that you're waking up data citizens across the organization and you make everyone in the organization think about data as an asset. >>Absolutely. Because there's so much value that can be extracted. Organizations really strategically build that data office and democratize access across all those data citizens. Stan, this is an exciting arena. We're definitely gonna keep our eyes on this. Sounds like a lot of evolution and maturation coming from the data office perspective. From the data citizen perspective. And as the data show that you mentioned in that IDC study, you mentioned Gartner as well, organizations have so much more likelihood of being successful and being competitive. So we're gonna watch this space. Stan, thank you so much for joining me on the cube at Data Citizens 22. We appreciate it. >>Thanks for having me over >>From Data Citizens 22, I'm Lisa Martin, you're watching The Cube, the leader in live tech coverage. >>Okay, this concludes our coverage of Data Citizens 2022, brought to you by Collibra. Remember, all these videos are available on demand@thecube.net. And don't forget to check out silicon angle.com for all the news and wiki bod.com for our weekly breaking analysis series where we cover many data topics and share survey research from our partner ETR Enterprise Technology Research. If you want more information on the products announced at Data Citizens, go to collibra.com. There are tons of resources there. You'll find analyst reports, product demos. It's really worthwhile to check those out. Thanks for watching our program and digging into Data Citizens 2022 on the Cube, your leader in enterprise and emerging tech coverage. We'll see you soon.

>>Hello and welcome back to the live coverage of the Cube here. Live in Detroit, Michigan for Cub Con, our seventh year covering all seven years. The cube has been here. M John Fur, host of the Cube, co-founder of the Cube. I'm here with Lisa Mart, my co-host, and our new host, Savannah Peterson. Great to see you guys. We're wrapping up day one of three days of coverage, and our guest analyst is Sario Wall, who's the cube analyst who's gonna give us his report. He's been out all day, ear to the ground in the sessions, peeking in, sneaking in, crashing him, getting all the data. Great to see you, Sarvi. Lisa Savannah, let's wrap this puppy up. >>I am so excited to be here. My first coupon with the cube and being here with you and Lisa has just been a treat. I can't wait to hear what you have to say in on the report side. And I mean, I have just been reflecting, it was last year's coupon that brought me to you, so I feel so lucky. So much can change in a year, folks. You never know where you're be. Wherever you're sitting today, you could be living your dreams in just a few >>Months. Lisa, so much has changed. I mean, just look at the past this year. Events we're back in person. Yeah. Yep. This is a big team here. They're still wearing masks, although we can take 'em off with a cube. But mask requirement. Tech has changed. Conversations are upleveling, skill gaps still there. So much has changed. >>So much has changed. There's so much evolution and so much innovation that we've also seen. You know, we started out the keynote this morning, standing room. Only thousands of people are here. Even though there's a mass requirement, the community that is CNCF Co Con is stronger than I, stronger than I saw it last year. This is only my second co con. But the collaboration, what they've done, their devotion to the maintainers, their devotion to really finding mentors for mentees was really a strong message this morning. And we heard a >>Lot of that today. And it's going beyond Kubernetes, even though it's called co con. I also call it cloud native con, which I think we'll probably end up being the name because at the end of day, the cloud native scaling, you're starting to see the pressure points. You're start to see where things are breaking, where automation's coming in, breaking in a good way. And we're gonna break it all down Again. So much going on again, I've overs gonna be in charge. Digital is transformation. If you take it to its conclusion, then you will see that the developers are running the business. It isn't a department, it's not serving the business, it is the business. If that's the case, everything has to change. And we're, we're happy to have Sarib here with us Cube analysts on the badge. I saw that with the press pass. Well, >>Thank you. Thanks for getting me that badge. So I'm here with you guys and >>Well, you got a rapport. Let's get into it. You, I >>Know. Let's hear what you gotta say. I'm excited. >>Yeah. Went around, actually attend some sessions and, and with the analysts were sitting in, in the media slash press, and I spoke to some people at their booth and the, there are a few, few patterns, you know, which are, some are the exaggeration of existing patterns or some are kind of new patterns emerging. So things are getting complex in open source. The lawn more projects, right. They have, the CNCF has graduated some projects even after graduation, they're, they're exploring, right? Kubernetes is one of those projects which has graduated. And on that front, just a side note, the new projects where, which are entering the cncf, they're the, we, we gotta see that process and the three stages and all that stuff. I tweeted all day long, if you wanna know what it is, you can look at my tweets. But when I will look, actually write right on that actually after, after the show ends, what, what I saw there, these new projects need to be curated properly. >>I think they need to be weed. There's a lot of noise in these projects. There's a lot of overlap. So the, the work is cut out for CNCF folks, by the way. They're sort of managerial committee or whatever you call that. The, the people who are leading it, they're try, I think they're doing their best and they're doing a good job of that. And another thing actually, I really liked in the morning's keynote was that lot of women on the stage and minorities represented. I loved it, to be honest with you. So believe me, I'm a minority even though I'm Indian, but from India, I'm a minority. So people who have Punjab either know that I'm a minority, so I, I understand their pain and how hard it is to, to break through the ceiling and all that. So I love that part as well. Yeah, the >>Activity is clear. Yeah. From day one. It's in the, it's in the dna. I mean, they'll reject anything that the opposite >>Representation too. I mean, it's not just that everyone's invited, it's they're celebrated and that's a very big difference. Yeah. It's, you see conferences offer discounts for women for tickets or minorities, but you don't necessarily see them put them running where their mouth is actually recruit the right women to be on stage. Right. Something you know a little bit about John >>Diversity brings better outcomes, better product perspectives. The product is better with all the perspectives involved. Percent, it might go a little slower, maybe a little debates, but it's all good. I mean, it's, to me, the better product comes when everyone's in. >>I hope you didn't just imply that women would make society. So >>I think John men, like slower means a slower, >>More diversity, more debate, >>The worst. Bringing the diversity into picture >>Wine. That's, that's how good groups, which is, which is >>Great. I mean, yeah, yeah, >>Yeah, yeah. I, I take that mulligan back and say, hey, you knows >>That's >>Just, it's gonna go so much faster and better and cheaper, but that not diversity. Absolutely. >>Yes. Well, you make better products faster because you have a variety >>Of perspectives. The bigger the group, there's more debate. More debate is key. But the key to success is aligning and committing. Absolutely. Once you have that, and that's what open sources has been about for. Oh God, yeah. Generations >>Has been a huge theme in the >>Show generations. All right, so, so, >>So you have to add another, like another important, so observation if you will, is that the security is, is paramount right. Requirement, especially for open source. There was a stat which was presented in the morning that 60% of the projects in under CNCF have more vulnerabilities today than they had last year. So that was, That's shocking actually. It's a big jump. It's a big jump. Like big jump means jump, jump means like it can be from from 40 to 60 or or 50 or 60. But still that percentage is high. What, what that means is that lot more people are contributing. It's very sort of di carmic or ironic that we say like, Oh this project has 10,000 contributors. Is that a good thing? Right. We do. Do we know the quality of that, where they're coming from? Are there any back doors being, you know, open there? How stringent is the process of rolling those things, which are being checked in, into production? You know, who is doing that? I've >>Wondered about that. Yeah. The quantity, quality, efficacy game. Yes. And what a balance that must be for someone like CNCF putting in the structure to try and >>That's >>Hard. Curate and regulate and, and you know, provide some bumpers on the bowling lane, so to speak, of, of all of these projects. Yeah. >>Yeah. We thought if anybody thought that the innovation coming from, or the number of services coming from AWS or Google Cloud or likes of them is overwhelming, look at open source, it's even more >>Overwhelming. What's your take on the supply chain discussion? More code more happening. What are you hearing there? >>The supply chain from the software? Yeah. >>Supply chain software, supply chain security pays. Are people talking about that? What are you >>Seeing? Yeah, actually people are talking about that. The creation, the curation, not creation. Curation of suppliers of software I think is best done in the cloud. Marketplaces Ive call biased or what, you know, but curation of open source is hard. It's hard to know which project to pick. It's hard to know which project will pan out. Many of the good projects don't see the day light of the day, but some decent ones like it becomes >>A marketing problem. Exactly. The more you have out there. Exactly. The more you gotta get above the noise. Exactly. And the noise echo that. And you got, you got GitHub stars, you got contributors, you have vanity metrics now coming in to this that are influencing what's real. But sometimes the best project could have smaller groups. >>Yeah, exactly. And another controversial thing a little bit I will say that is that there's a economics of the practitioner, right? I usually talk about that and economics of the, the enterprise, right? So practitioners in our world, in software world especially right in systems world, practitioners are changing jobs every two to three years. And number of developers doubles every three years. That's the stat I've seen from Uncle Bob. He's authority on that software side of things. Wow. So that means there's a lot more new entrance that means a lot of churn. So who is watching out for the enterprise enterprises economics, You know, like are we creating stable enterprises? How stable are our operations? On a side note to that, most of us see the software as like one band, which is not true. When we talk about all these roles and personas, somebody's writing software for, for core layer, which is the infrastructure part. Somebody's writing business applications, somebody's writing, you know, systems of bracket, some somebody's writing systems of differentiation. We talk about those things. We need to distinguish between those and have principle based technology consumption, which I usually write about in our Oh, >>So bottom line in Europe about it, in your opinion. Yeah. What's the top story here at coupon? >>Top story is >>Headline. Yeah, >>The, the headline. Okay. The open source cannot be ignored. That's a headline. >>And what should people be paying attention to if there's a trend coming out? See any kind of trends coming out or any kind of signal, What, what do you see that people should pay attention to here? The put top >>Two, three things. The signal is that, that if you are a big shop, like you'd need to assess your like capacity to absorb open source. You need to be certain size to absorb the open source. If you are below that threshold, I mean we can talk about that at some other time. Like what is that threshold? I will suggest you to go with the managed services from somebody, whoever is providing those managed services around open source. So manage es, right? So from, take it from aws, Google Cloud or Azure or IBM or anybody, right? So use open source as managed offering rather than doing it yourself. Because doing it yourself is a lot more heavy lifting. >>I I, >>There's so many thoughts coming, right? >>Mind it's, >>So I gotta ask you, what's your rapport? You have some swag, What's the swag look >>Like to you? I do. Just as serious of a report as you do on the to floor, but I do, so you know, I come from a marketing background and as I, I know that Lisa does as well. And one of the things that I think about that we touched on in this is, is you know, canceling the noise or standing out from the noise and, and on a show floor, that's actually a huge challenge for these startups, especially when you're up against a rancher or companies or a Cisco with a very large budget. And let's say you've only got a couple grand for an activation here. Like most of my clients, that's how I ended up in the CU County ecosystem, was here with the A client before. So there actually was a booth over there and I, they didn't quite catch me enough, but they had noise canceling headphones. >>So if you just wanted to take a minute on the show floor and just not hear anything, which I thought was a little bit clever, but gonna take you through some of my favorite swag from today and to all the vendors, you know, this is why you should really put some thought into your swag. You never know when you're gonna end up on the cube. So since most swag is injection molded plastic that's gonna end up in the landfill, I really appreciate that garden has given all of us a potable plant. And even the packaging is plantable, which is very exciting. So most sustainable swag goes to garden. Well done >>Rep replicated, I believe is their name. They do a really good job every year. They had some very funny pins that say a word that, I'm not gonna say live on television, but they have created, they brought two things for us, yet it's replicated little etch sketch for your inner child, which is very nice. And given that we are in Detroit, we are in Motor City, we are in the home of Ford. We had Ford on the show. I love that they have done the custom K eight s key chains in the blue oval logo. Like >>Fords right behind us by the way, and are on you >>Interviewed, we had 'em on earlier GitLab taking it one level more personal and actually giving out digital portraits today. Nice. Cool. Which is quite fun. Get lap house multiple booths here. They actually IPOed while they were on the show floor at CubeCon 2021, which is fun to see that whole gang again. And then last but not least, really embracing the ship wheel logo of a Kubernetes is the robusta accrue that is giving out bucket hats. And if you check out my Twitter at sabba Savvy, you can see me holding the ship wheel that they're letting everyone pose with. So we are all in on Kubernetes. That cove gone 2022, that's for sure. Yeah. >>And this is something, day one guys, we've got three. >>I wanna get one of those >>Hats. We we need to, we need a group photo >>By the end of Friday we will have a beverage and hats on to sign off. That's, that's my word. If I can convince John, >>Don, what's your takeaway? You guys did a great kind of kickoff about last week or so about what you were excited about, what your thoughts were going to be. We're only on day one, There's been thousands of people here, we've had great conversations with contributors, the community. What's your take on day one? What's your, what's your tagline? >>Well, Savannah and I had at we up, we, we were talking about what we might see and I think we, we were right. I think we had it right. There's gonna be a lot more people than there were last year. Okay, check. That's definitely true. We're in >>Person, which >>Is refreshing. I was very surprised about the mask mandate that kind of caught me up guard. I was major. Yeah. Cause I've been comfortable without the mask. I'm not a mask person, but I had to wear it and I was like, ah, mask. But I understand I support that. But whatever. It's >>Corporate travel policy. So you know, that's what it is. >>And then, you know, they, I thought that they did an okay job with the gates, but they wasn't slow like last time. But on the content side, definitely Kubernetes security, top line headline, Kubernetes at scale security, that's, that's to me the bumper sticker top things to pay attention to the supply chain and the role of docker and the web assembly was a surprise. You're starting to see containers ecosystem coming back to, I won't say tension growth in the functionality of containers cuz they have to solve the security problem in the container images. Okay, you got scanning technology so it's a little bit in the weeds, but there's a huge movement going on to fix that problem to scale it so it's not a problem area contain. And then Dr sent a great job with productivity interviews. Scott Johnston over a hundred million in revenue so far. That's my number. They have not publicly said that. That's what I'm reporting from sources extremely well financially. And they, and they love their business model. They make productivity for developers. That's a scoop. That's new >>Information. That's a nice scoop we just dropped there on the co casually. >>You're watching that. Pay attention to that. But that, that's proof. But guess what, Red Hat's got developers too. Yes. Other people have to, So developers gonna go where it's the best. Yeah. Developers are voting with their code, they're voting with their feet. You will see the winners with the developers and that's what we've talked about. >>Well and the companies are catering to the developers. Savannah and I had a great conversation with Ford. Yeah. You saw, you showed their fantastic swag was an E for Ev right behind us. They were talking about the, all the cultural changes that they've really focused on to cater towards the developers. The developers becoming the influencers as you say. But to see a company that is as, as historied as Ford Motor Company and what they're doing to attract and retain developer talent was impressive. And honestly that surprised me. Yeah. >>And their head of deb relations has been working for, for, for 29 years. Which I mean first of all, most companies on the show floor haven't been around for 29 years. Right. But what I love is when you put community first, you get employees to stick around. And I think community is one of the biggest themes here at Cuco. >>Great. My, my favorite story that surprised me and was cool was the Red Hat Lockheed Martin interview where they had edge deployments with micro edge, >>Micro shift, >>Micro >>Shift, new projects under, there's, there are three new projects under, >>Under that was so, so cool because it was an edge story in deployment for the military where lives are on the line, they actually had it working. That is a real world example of Kubernetes and tech orchestrating to deploy the industrial edge. And I think that's proof in my mind that Kubernetes and this ecosystem is gonna move faster through this next wave of growth. Because once things start clicking, you get hybrid on premise to super cloud and edge. That was, that was my favorite cause it was real. That was real >>Story that it can make is literally life and death on the battlefield. Yeah, that was amazing. With what they're doing and what >>They're talking check out the Lockheed Martin Red Hat edge story on Silicon Angle and then a press release all pillar. >>Yeah. Another actually it's impressive, which we knew this which is happening, but I didn't know that it was happening at this scale is the finops. The finops is, I saw your is a discipline which most companies are adopting bigger companies, which are spending like hundreds of millions dollars in cloud average. Si a team size of finops for finops is seven people. And average number of tools is I think 3.5 or around 3.7 or something like that. Average number of tools they use to control the cost. So finops is a very generic term for years. It's not financial operations, it's the financial operations for the cloud cost, you know, containing the cloud costs. So that's a finops that is a very emerging sort of discipline >>To keep an eye on. And well, not only is that important, I talked to, well one of the principles over there, it's growing and they have real big players in that foundation. Their, their events are highly attended. It's super important. It's just, it's the cost side of cloud. And, and of course, you know, everyone wants to know what's going on. No one wants to leave there. Their Amazon on Yeah, you wanna leave the lights on the cloud, as we always say, you never know what the bill's gonna look like. >>The cloud is gonna reach $3 billion in next few years. So we might as well control the cost there. Yeah, >>It was, it was funny to get the reaction I found, I don't know if I was, how I react, I dunno how I felt. But we, we did introduce Super Cloud to a couple of guests and a, there were a couple reactions, a couple drawn. There was a couple, right. There was a couple, couple reactions. And what I love about the super cloud is that some people are like, oh, cringing. And some people are like, yeah, go. So it's a, it's a solid debate. It is solid. I saw more in the segments that I did with you together. People leaning in. Yeah. Super fun. We had a couple sum up, we had a couple, we had a couple cringes, I'll say their names, but I'll go back and make sure I, >>I think people >>Get 'em later. I think people, >>I think people cringe on the, on the term not on the idea. Yeah. You know, so the whole idea is that we are building top of the cloud >>And then so I mean you're gonna like this, I did successfully introduce here on the cube, a new term called architectural list. He did? That's right. Okay. And I wanna thank Charles Fitzgerald for that cuz he called super cloud architectural list. And that's exactly the point of super cloud. If you have a great coding environment, you shouldn't have to do an architecture to do. You should code and let the architecture of the Super cloud make it happen. And of course Brian Gracely, who will be on tomorrow at his cloud cast said Super Cloud enables super services. Super Cloud enables what Super services, super service. The microservices underneath the covers have to be different. High performing, automated. So again, the debate and Susan, the goal is to keep it open. And that's our, that's our goal. But we had a lot of fun with that. It was fun to poke the bear a little bit. So >>What is interesting to see just how people respond to it too, with you throwing it out there so consistently, >>You wanna poke the bear, get a conversation going, you know, let let it go. We'll see, it's been positive so far. >>There, there I had a discussion outside somebody who is from Ford but not attending this conference and they have been there for a while. I, I just some moment hit like me, like I said, people, okay, technologists are horizontal, the codes are horizontal. They will go from four to GM to Chrysler to Bank of America to, you know, GE whatever, you know, like cross vertical within vertical different vendors. So, but the culture of a company is local, right? Right. Ford has been building cars for forever. They sort of democratize it. They commercialize it, right? But they have some intense culture. It's hard to change those cultures. And how do we bring in the new thinking? What is, what approach that should be? Is it a sandbox approach for like putting new sensors on the car? They have to compete with te likes our Tesla, right? Yeah. But they cannot, if they are afraid of deluding their existing market or they're afraid of failure there, right? So it's very >>Tricky. Great stuff. Sorry. Great to have you on as our cube analyst breaking down the stories. We'll document that, that we'll roll out a post on it. Lisa Savannah, let's wrap up the show for day one. We got day two and three. We'll start with you. What's your summary? Quick bumper sticker. What's today's show all about? >>I'm a community first gal and this entire experience is about community and it's really nice to see the community come together, celebrate that, share ideas, and to have our community together on stage. >>Yeah. To me, to me it was all real. It's happening. Kubernetes cloud native at scale, it's happening, it's real. And we see proof points and we're gonna have faster time to value. It's gonna accelerate faster from here. >>The proof points, the impact is real. And we saw that in some amazing stories. And this is just a one of the cubes >>Coverage. Ib final word on this segment was well >>Said Lisa. Yeah, I, I think I, I would repeat what I said. I got eight, nine years back at a rack space conference. Open source is amazing for one biggest reason. It gives the ability to the developing nations to be at somewhat at par where the dev develop nations and, and those people to lift up their masses through the automation. Cuz when automation happens, the corruption goes down and the economy blossoms. And I think it's great and, and we need to do more in it, but we have to be careful about the supply chains around the software so that, so our systems are secure and they are robust. Yeah, >>That's it. Okay. To me for SAR B and my two great co-host, Lisa Martin, Savannah Peterson. I'm John Furry. You're watching the Cube Day one in, in the Books. We'll see you tomorrow, day two Cuban Cloud Native live in Detroit. Thanks for watching.

(upbeat music) >> Hey guys, welcome back to the show floor of KubeCon + CloudNativeCon '22 North America from Detroit, Michigan. Lisa Martin here with John Furrier. This is day one, John at theCUBE's coverage. >> CUBE's coverage. >> theCUBE's coverage of KubeCon. Try saying that five times fast. Day one, we have three wall-to-wall days. We've been talking about Kubernetes, containers, adoption, cloud adoption, app modernization all morning. We can't talk about those things without addressing security. >> Yeah, this segment we're going to hear container and Kubernetes security for modern application 'cause the enterprise are moving there. And this segment with Red Hat's going to be important because they are the leader in the enterprise when it comes to open source in Linux. So this is going to be a very fun segment. >> Very fun segment. Two guests from Red Hat join us. Please welcome Doron Caspin, Senior Principal Product Manager at Red Hat. Michael Foster joins us as well, Principal Product Marketing Manager and StackRox Community Lead at Red Hat. Guys, great to have you on the program. >> Thanks for having us. >> Thank you for having us. >> It's awesome. So Michael StackRox acquisition's been about a year. You got some news? >> Yeah, 18 months. >> Unpack that for us. >> It's been 18 months, yeah. So StackRox in 2017, originally we shifted to be the Kubernetes-native security platform. That was our goal, that was our vision. Red Hat obviously saw a lot of powerful, let's say, mission statement in that, and they bought us in 2021. Pre-acquisition we were looking to create a cloud service. Originally we ran on Kubernetes platforms, we had an operator and things like that. Now we are looking to basically bring customers in into our service preview for ACS as a cloud service. That's very exciting. Security conversation is top notch right now. It's an all time high. You can't go with anywhere without talking about security. And specifically in the code, we were talking before we came on camera, the software supply chain is real. It's not just about verification. Where do you guys see the challenges right now? Containers having, even scanning them is not good enough. First of all, you got to scan them and that may not be good enough. Where's the security challenges and where's the opportunity? >> I think a little bit of it is a new way of thinking. The speed of security is actually does make you secure. We want to keep our images up and fresh and updated and we also want to make sure that we're keeping the open source and the different images that we're bringing in secure. Doron, I know you have some things to say about that too. He's been working tirelessly on the cloud service. >> Yeah, I think that one thing, you need to trust your sources. Even if in the open source world, you don't want to copy paste libraries from the web. And most of our customers using third party vendors and getting images from different location, we need to trust our sources and we have a really good, even if you have really good scanning solution, you not always can trust it. You need to have a good solution for that. >> And you guys are having news, you're announcing the Red Hat Advanced Cluster Security Cloud Service. >> Yes. >> What is that? >> So we took StackRox and we took the opportunity to make it as a cloud services so customer can consume the product as a cloud services as a start offering and customer can buy it through for Amazon Marketplace and in the future Azure Marketplace. So customer can use it for the AKS and EKS and AKS and also of course OpenShift. So we are not specifically for OpenShift. We're not just OpenShift. We also provide support for EKS and AKS. So we provided the capability to secure the whole cloud posture. We know customer are not only OpenShift or not only EKS. We have both. We have free cloud or full cloud. So we have open. >> So it's not just OpenShift, it's Kubernetes, environments, all together. >> Doron: All together, yeah. >> Lisa: Meeting customers where they are. >> Yeah, exactly. And we focus on, we are not trying to boil the ocean or solve the whole cloud security posture. We try to solve the Kubernetes security cluster. It's very unique and very need unique solution for that. It's not just added value in our cloud security solution. We think it's something special for Kubernetes and this is what Red that is aiming to. To solve this issue. >> And the ACS platform really doesn't change at all. It's just how they're consuming it. It's a lot quicker in the cloud. Time to value is right there. As soon as you start up a Kubernetes cluster, you can get started with ACS cloud service and get going really quickly. >> I'm going to ask you guys a very simple question, but I heard it in the bar in the lobby last night. Practitioners talking and they were excited about the Red Hat opportunity. They actually asked a question, where do I go and get some free Red Hat to test some Kubernetes out and run helm or whatever. They want to play around. And do you guys have a program for someone to get start for free? >> Yeah, so the cloud service specifically, we're going to service preview. So if people sign up, they'll be able to test it out and give us feedback. That's what we're looking for. >> John: Is that a Sandbox or is that going to be in the cloud? >> They can run it in their own environment. So they can sign up. >> John: Free. >> Doron: Yeah, free. >> For the service preview. All we're asking for is for customer feedback. And I know it's actually getting busy there. It's starting December. So the quicker people are, the better. >> So my friend at the lobby I was talking to, I told you it was free. I gave you the sandbox, but check out your cloud too. >> And we also have the open source version so you can download it and use it. >> Yeah, people want to know how to get involved. I'm getting a lot more folks coming to Red Hat from the open source side that want to get their feet wet. That's been a lot of people rarely interested. That's a real testament to the product leadership. Congratulations. >> Yeah, thank you. >> So what are the key challenges that you have on your roadmap right now? You got the products out there, what's the current stake? Can you scope the adoption? Can you share where we're at? What people are doing specifically and the real challenges? >> I think one of the biggest challenges is talking with customers with a slightly, I don't want to say outdated, but an older approach to security. You hear things like malware pop up and it's like, well, really what we should be doing is keeping things into low and medium vulnerabilities, looking at the configuration, managing risk accordingly. Having disparate security tools or different teams doing various things, it's really hard to get a security picture of what's going on in the cluster. That's some of the biggest challenges that we talk with customers about. >> And in terms of resolving those challenges, you mentioned malware, we talk about ransomware. It's a household word these days. It's no longer, are we going to get hit? It's when? It's what's the severity? It's how often? How are you guys helping customers to dial down some of the risk that's inherent and only growing these days? >> Yeah, risk, it's a tough word to generalize, but our whole goal is to give you as much security information in a way that's consumable so that you can evaluate your risk, set policies, and then enforce them early on in the cluster or early on in the development pipeline so that your developers get the security information they need, hopefully asynchronously. That's the best way to do it. It's nice and quick, but yeah. I don't know if Doron you want to add to that? >> Yeah, so I think, yeah, we know that ransomware, again, it's a big world for everyone and we understand the area of the boundaries where we want to, what we want to protect. And we think it's about policies and where we enforce it. So, and if you can enforce it on, we know that as we discussed before that you can scan the image, but we never know what is in it until you really run it. So one of the thing that we we provide is runtime scanning. So you can scan and you can have policy in runtime. So enforce things in runtime. But even if one image got in a way and get to your cluster and run on somewhere, we can stop it in runtime. >> Yeah. And even with the runtime enforcement, the biggest thing we have to educate customers on is that's the last-ditch effort. We want to get these security controls as early as possible. That's where the value's going to be. So we don't want to be blocking things from getting to staging six weeks after developers have been working on a project. >> I want to get you guys thoughts on developer productivity. Had Docker CEO on earlier and since then I had a couple people messaging me. Love the vision of Docker, but Docker Hub has some legacy and it might not, has does something kind of adoption that some people think it does. Are people moving 'cause there times they want to have these their own places? No one place or maybe there is, or how do you guys see the movement of say Docker Hub to just using containers? I don't need to be Docker Hub. What's the vis-a-vis competition? >> I mean working with open source with Red Hat, you have to meet the developers where they are. If your tool isn't cutting it for developers, they're going to find a new tool and really they're the engine, the growth engine of a lot of these technologies. So again, if Docker, I don't want to speak about Docker or what they're doing specifically, but I know that they pretty much kicked off the container revolution and got this whole thing started. >> A lot of people are using your environment too. We're hearing a lot of uptake on the Red Hat side too. So, this is open source help, it all sorts stuff out in the end, like you said, but you guys are getting a lot of traction there. Can you share what's happening there? >> I think one of the biggest things from a developer experience that I've seen is the universal base image that people are using. I can speak from a security standpoint, it's awesome that you have a base image where you can make one change or one issue and it can impact a lot of different applications. That's one of the big benefits that I see in adoption. >> What are some of the business, I'm curious what some of the business outcomes are. You talked about faster time to value obviously being able to get security shifted left and from a control perspective. but what are some of the, if I'm a business, if I'm a telco or a healthcare organization or a financial organization, what are some of the top line benefits that this can bubble up to impact? >> I mean for me, with those two providers, compliance is a massive one. And just having an overall look at what's going on in your clusters, in your environments so that when audit time comes, you're prepared. You can get through that extremely quickly. And then as well, when something inevitably does happen, you can get a good image of all of like, let's say a Log4Shell happens, you know exactly what clusters are affected. The triage time is a lot quicker. Developers can get back to developing and then yeah, you can get through it. >> One thing that we see that customers compliance is huge. >> Yes. And we don't want to, the old way was that, okay, I will provision a cluster and I will do scans and find things, but I need to do for PCI DSS for example. Today the customer want to provision in advance a PCI DSS cluster. So you need to do the compliance before you provision the cluster and make all the configuration already baked for PCI DSS or HIPAA compliance or FedRAMP. And this is where we try to use our compliance, we have tools for compliance today on OpenShift and other clusters and other distribution, but you can do this in advance before you even provision the cluster. And we also have tools to enforce it after that, after your provision, but you have to do it again before and after to make it more feasible. >> Advanced cluster management and the compliance operator really help with that. That's why OpenShift Platform Plus as a bundle is so popular. Just being able to know that when a cluster gets provision, it's going to be in compliance with whatever the healthcare provider is using. And then you can automatically have ACS as well pop up so you know exactly what applications are running, you know it's in compliance. I mean that's the speed. >> You mentioned the word operator, I get triggering word now for me because operator role is changing significantly on this next wave coming because of the automation. They're operating, but they're also devs too. They're developing and composing. It's almost like a dashboard, Lego blocks. The operator's not just manually racking and stacking like the old days, I'm oversimplifying it, but the new operators running stuff, they got observability, they got coding, their servicing policy. There's a lot going on. There's a lot of knobs. Is it going to get simpler? How do you guys see the org structures changing to fill the gap on what should be a very simple, turn some knobs, operate at scale? >> Well, when StackRox originally got acquired, one of the first things we did was put ACS into an operator and it actually made the application life cycle so much easier. It was very easy in the console to go and say, Hey yeah, I want ACS my cluster, click it. It would get provisioned. New clusters would get provisioned automatically. So underneath it might get more complicated. But in terms of the application lifecycle, operators make things so much easier. >> And of course I saw, I was lucky enough with Lisa to see Project Wisdom in AnsibleFest. You going to say, Hey, Red Hat, spin up the clusters and just magically will be voice activated. Starting to see AI come in. So again, operations operator is got to dev vibe and an SRE vibe, but it's not that direct. Something's happening there. We're trying to put our finger on. What do you guys think is happening? What's the real? What's the action? What's transforming? >> That's a good question. I think in general, things just move to the developers all the time. I mean, we talk about shift left security, everything's always going that way. Developers how they're handing everything. I'm not sure exactly. Doron, do you have any thoughts on that. >> Doron, what's your reaction? You can just, it's okay, say what you want. >> So I spoke with one of our customers yesterday and they say that in the last years, we developed tons of code just to operate their infrastructure. That if developers, so five or six years ago when a developer wanted VM, it will take him a week to get a VM because they need all their approval and someone need to actually provision this VM on VMware. And today they automate all the way end-to-end and it take two minutes to get a VM for developer. So operators are becoming developers as you said, and they develop code and they make the infrastructure as code and infrastructure as operator to make it more easy for the business to run. >> And then also if you add in DataOps, AIOps, DataOps, Security Ops, that's the new IT. It seems to be the new IT is the stuff that's scaling, a lot of data's coming in, you got security. So all that's got to be brought in. How do you guys view that into the equation? >> Oh, I mean you become big generalists. I think there's a reason why those cloud security or cloud professional certificates are becoming so popular. You have to know a lot about all the different applications, be able to code it, automate it, like you said, hopefully everything as code. And then it also makes it easy for security tools to come in and look and examine where the vulnerabilities are when those things are as code. So because you're going and developing all this automation, you do become, let's say a generalist. >> We've been hearing on theCUBE here and we've been hearing the industry, burnout, associated with security professionals and some DataOps because the tsunami of data, tsunami of breaches, a lot of engineers getting called in the middle of the night. So that's not automated. So this got to get solved quickly, scaled up quickly. >> Yes. There's two part question there. I think in terms of the burnout aspect, you better send some love to your security team because they only get called when things get broken and when they're doing a great job you never hear about them. So I think that's one of the things, it's a thankless profession. From the second part, if you have the right tools in place so that when something does hit the fan and does break, then you can make an automated or a specific decision upstream to change that, then things become easy. It's when the tools aren't in place and you have desperate environments so that when a Log4Shell or something like that comes in, you're scrambling trying to figure out what clusters are where and where you're impacted. >> Point of attack, remediate fast. That seems to be the new move. >> Yeah. And you do need to know exactly what's going on in your clusters and how to remediate it quickly, how to get the most impact with one change. >> And that makes sense. The service area is expanding. More things are being pushed. So things will, whether it's a zero day vulnerability or just attack. >> Just mix, yeah. Customer automate their all of things, but it's good and bad. Some customer told us they, I think Spotify lost the whole a full zone because of one mistake of a customer because they automate everything and you make one mistake. >> It scale the failure really. >> Exactly. Scaled the failure really fast. >> That was actually few contact I think four years ago. They talked about it. It was a great learning experience. >> It worked double edge sword there. >> Yeah. So definitely we need to, again, scale automation, test automation way too, you need to hold the drills around data. >> Yeah, you have to know the impact. There's a lot of talk in the security space about what you can and can't automate. And by default when you install ACS, everything is non-enforced. You have to have an admission control. >> How are you guys seeing your customers? Obviously Red Hat's got a great customer base. How are they adopting to the managed service wave that's coming? People are liking the managed services now because they maybe have skills gap issues. So managed service is becoming a big part of the portfolio. What's your guys' take on the managed services piece? >> It's just time to value. You're developing a new application, you need to get it out there quick. If somebody, your competitor gets out there a month before you do, that's a huge market advantage. >> So you care how you got there. >> Exactly. And so we've had so much Kubernetes expertise over the last 10 or so, 10 plus year or well, Kubernetes for seven plus years at Red Hat, that why wouldn't you leverage that knowledge internally so you can get your application. >> Why change your toolchain and your workflows go faster and take advantage of the managed service because it's just about getting from point A to point B. >> Exactly. >> Well, in time to value is, you mentioned that it's not a trivial term, it's not a marketing term. There's a lot of impact that can be made. Organizations that can move faster, that can iterate faster, develop what their customers are looking for so that they have that competitive advantage. It's definitely not something that's trivial. >> Yeah. And working in marketing, whenever you get that new feature out and I can go and chat about it online, it's always awesome. You always get customers interests. >> Pushing new code, being secure. What's next for you guys? What's on the agenda? What's around the corner? We'll see a lot of Red Hat at re:Invent. Obviously your relationship with AWS as strong as a company. Multi-cloud is here. Supercloud as we've been saying. Supercloud is a thing. What's next for you guys? >> So we launch the cloud services and the idea that we will get feedback from customers. We are not going GA. We're not going to sell it for now. We want to get customers, we want to get feedback to make the product as best what we can sell and best we can give for our customers and get feedback. And when we go GA and we start selling this product, we will get the best product in the market. So this is our goal. We want to get the customer in the loop and get as much as feedback as we can. And also we working very closely with our customers, our existing customers to announce the product to add more and more features what the customer needs. It's all about supply chain. I don't like it, but we have to say, it's all about making things more automated and make things more easy for our customer to use to have security in the Kubernetes environment. >> So where can your customers go? Clearly, you've made a big impact on our viewers with your conversation today. Where are they going to be able to go to get their hands on the release? >> So you can find it on online. We have a website to sign up for this program. It's on my blog. We have a blog out there for ACS cloud services. You can just go there, sign up, and we will contact the customer. >> Yeah. And there's another way, if you ever want to get your hands on it and you can do it for free, Open Source StackRox. The product is open source completely. And I would love feedback in Slack channel. It's one of the, we also get a ton of feedback from people who aren't actually paying customers and they contribute upstream. So that's an awesome way to get started. But like you said, you go to, if you search ACS cloud service and service preview. Don't have to be a Red Hat customer. Just if you're running a CNCF compliant Kubernetes version. we'd love to hear from you. >> All open source, all out in the open. >> Yep. >> Getting it available to the customers, the non-customers, they hopefully pending customers. Guys, thank you so much for joining John and me talking about the new release, the evolution of StackRox in the last season of 18 months. Lot of good stuff here. I think you've done a great job of getting the audience excited about what you're releasing. Thank you for your time. >> Thank you. >> Thank you. >> For our guest and for John Furrier, Lisa Martin here in Detroit, KubeCon + CloudNativeCon North America. Coming to you live, we'll be back with our next guest in just a minute. (gentle music)

(upbeat music) >> Last year, the Cube covered Data Citizens, Collibra's customer event. And the premise that we put forth prior to that event was that despite all the innovation that's gone on over the last decade or more with data, you know, starting with the Hadoop movement. We had data lakes, we had Spark, the ascendancy of programming languages like Python, the introduction of frameworks like TensorFlow, the rise of AI, low code, no code, et cetera. Businesses still find it's too difficult to get more value from their data initiatives. And we said at the time, you know, maybe it's time to rethink data innovation. While a lot of the effort has been focused on more efficiently storing and processing data, perhaps more energy needs to go into thinking about the people and the process side of the equation, meaning making it easier for domain experts to both gain insights from data, trust the data, and begin to use that data in new ways, fueling data products, monetization, and insights. Data Citizens 2022 is back, and we're pleased to have Felix Van de Maele, who is the founder and CEO of Collibra. He's on the Cube. We're excited to have you, Felix. Good to see you again. >> Likewise Dave. Thanks for having me again. >> You bet. All right, we're going to get the update from Felix on the current data landscape, how he sees it, why data intelligence is more important now than ever, and get current on what Collibra has been up to over the past year, and what's changed since Data Citizens 2021. And we may even touch on some of the product news. So Felix, we're living in a very different world today with businesses and consumers. They're struggling with things like supply chains, uncertain economic trends, and we're not just snapping back to the 2010s. That's clear. And that's really true, as well, in the world of data. So what's different in your mind in the data landscape of the 2020s from the previous decade, and what challenges does that bring for your customers? >> Yeah, absolutely. And I think you said it well, Dave, in the intro that rising complexity and fragmentation in the broader data landscape that hasn't gotten any better over the last couple of years. When we talk to our customers, that level of fragmentation, the complexity, how do we find data that we can trust, that we know we can use, has only gotten kind of more difficult. So that trend is continuing. I think what is changing is that trend has become much more acute. Well, the other thing we've seen over the last couple of years is that the level of scrutiny that organizations are under with respect to data, as data becomes more mission critical, as data becomes more impactful and important, the level of scrutiny with respect to privacy, security, regulatory compliance, is only increasing as well. Which again, is really difficult in this environment of continuous innovation, continuous change, continuous growing complexity and fragmentation. So it's become much more acute. And to your earlier point, we do live in a different world, and the past couple of years, we could probably just kind of brute force it, right? We could focus on the top line. There was enough kind of investments to be had. I think nowadays organizations are focused, or are in a very different environment where there's much more focus on cost control, productivity, efficiency. How do we truly get value from that data? So again, I think it's just another incentive for organizations to now truly look at that data and to scale that data, not just from a technology and infrastructure perspective, but how do we actually scale data from an organizational perspective, right? Like you said, the people and process, how do we do that at scale? And that's only becoming much more important. And we do believe that the economic environment that we find ourselves in today is going to be a catalyst for organizations to really take that more seriously if you will than they maybe have in the past. >> You know, I don't know when you guys founded Collibra, if you had a sense as to how complicated it was going to get, but you've been on a mission to really address these problems from the beginning. How would you describe your mission, and what are you doing to address these challenges? >> Yeah, absolutely. We started Collibra in 2008. So in some sense in the last kind of financial crisis. And that was really the start of Collibra, where we found product market fit working with large financial institutions to help them cope with the increasing compliance requirements that they were faced with because of the financial crisis, and kind of here we are again in a very different environment of course, 15 years, almost 15 years later. But data only becoming more important. But our mission to deliver trusted data for every user, every use case, and across every source, frankly has only become more important. So while it's been an incredible journey over the last 14, 15 years, I think we're still relatively early in our mission to, again, be able to provide everyone, and that's why we call it Data Citizens. We truly believe that everyone in the organization should be able to use trusted data in an easy, easy manner. That mission is only becoming more important, more relevant. We definitely have a lot more work ahead of us because we're still relatively early in that journey. >> Well, that's interesting because, you know, in my observation, it takes seven to 10 years to actually build a company, and then the fact that you're still in the early days is kind of interesting. I mean, Collibra's had a good 12 months or so since we last spoke at Data Citizens. Give us the latest update on your business. What do people need to know about your your current momentum? >> Yeah, absolutely. Again, there's a lot of tailwinds, organizations are only maturing their data practices, and we've seen it kind of transform, or influence a lot of our business growth that we've seen, broader adoption of the platform. We work at some of the largest organizations in the world, whether it's Adobe, Heineken, Bank of America, and many more. We have now over 600 enterprise customers, all industry leaders and every single vertical. So it's really exciting to see that and continue to partner with those organizations. On the partnership side, again, a lot of momentum in the market with some of the cloud partners like Google, Amazon, Snowflake, Databricks, and others, right? As those kind of new modern data infrastructures, modern data architectures, are definitely all moving to the cloud. A great opportunity for us, our partners, and of course our customers, to help them kind of transition to the cloud even faster. And so we see a lot of excitement and momentum there. We did an acquisition about 18 months ago around data quality, data observability, which we believe is an enormous opportunity. Of course data quality isn't new, but I think there's a lot of reasons why we're so excited about quality and observability now. One is around leveraging AI, machine learning, again to drive more automation. And the second is that those data pipelines that are now being created in the cloud, in these modern data architectures, they've become mission critical. They've become real time. And so monitoring, observing those data pipelines continuously has become absolutely critical. So we're really excited about that as well. And on the organizational side, I'm sure you've heard a term around kind of data mesh, something that's gaining a lot of momentum, rightfully so. It's really the type of governance that we always believed in. Federated, focused on domains, giving a lot of ownership to different teams. I think that's the way to scale the data organizations, and so that aligns really well with our vision, and from a product perspective, we've seen a lot of momentum with our customers there as well. >> Yeah, you know, a couple things there. I mean, the acquisition of OwlDQ, you know, Kirk Haslbeck and their team, it's interesting, you know, the whole data quality used to be this back office function and really confined to highly regulated industries. It's come to the front office, it's top of mind for chief data officers, data mesh, you mentioned. You guys are a connective tissue for all these different nodes on the data mesh. That's key. And of course we see you at all the shows. You're a critical part of many ecosystems, and you're developing your own ecosystem. So let's chat a little bit about the products. We're going to go deeper into products later on at Data Citizens '22, but we know you're debuting some new innovations, you know, whether it's, you know, the under the covers in security, sort of making data more accessible for people, just dealing with workflows and processes as you talked about earlier. Tell us a little bit about what you're introducing. >> Yeah, absolutely. We're super excited, a ton of innovation. And if we think about the big theme, and like I said, we're still relatively early in this journey towards kind of that mission of data intelligence, that really bold and compelling mission. Either customers are just starting on that journey, and we want to make it as easy as possible for the organization to actually get started, because we know that's important that they do. And for our organization and customers that have been with us for some time, there's still a tremendous amount of opportunity to kind of expand the platform further. And again, to make it easier for, really to accomplish that mission and vision around that data citizen that everyone has access to trustworthy data in a very easy, easy way. So that's really the theme of a lot of the innovation that we're driving, a lot of kind of ease of adoption, ease of use, but also then, how do we make sure that as Collibra becomes this kind of mission critical enterprise platform from a security performance architecture scale, supportability that we're truly able to deliver that kind of an enterprise mission critical platform. And so that's the big theme. From an innovation perspective, from a product perspective, a lot of new innovation that we're really excited about. A couple of highlights. One is around data marketplace. Again, a lot of our customers have plans in that direction. How do we make it easy? How do we make available a true kind of shopping experience so that anybody in your organization can, in a very easy search first way, find the right data product, find the right data set that data can then consume, use its analytics. How do we help organizations drive adoption, tell them where they're working really well, and where they have opportunities. Home pages, again, to make things easy for people, for anyone in your organization, to kind of get started with Collibra. You mentioned workflow designer, again, we have a very powerful enterprise platform. One of our key differentiators is the ability to really drive a lot of automation through workflows. And now we provided a new low code, no code, kind of workflow designer experience. So really customers can take it to the next level. There's a lot more new product around Collibra Protect, which in partnership with Snowflake, which has been a strategic investor in Collibra, focused on how do we make access governance easier? How do we, how are we able to make sure that as you move to the cloud, things like access management, masking around sensitive data, PII data, is managed in a much more effective way. Really excited about that product. There's more around data quality. Again, how do we get that deployed as easily and quickly and widely as we can? Moving that to the cloud has been a big part of our strategy. So we launched our data quality cloud product as well as making use of those native compute capabilities in platforms like Snowflake, Databricks, Google, Amazon, and others. And so we are bettering a capability that we call push down. So we're actually pushing down the computer and data quality, the monitoring, into the underlying platform, which again, from a scale performance and ease of use perspective is going to make a massive difference. And then more broadly, we talked a little bit about the ecosystem. Again, integrations that we talk about, being able to connect to every source. Integrations are absolutely critical, and we're really excited to deliver new integrations with Snowflake, Azure, and Google Cloud Storage as well. So there's a lot coming out. The team has been at work really hard, and we are really, really excited about what we are coming, what we're bringing to markets. >> Yeah, a lot going on there. I wonder if you could give us your closing thoughts. I mean, you talked about the marketplace, you know, you think about data mesh, you think of data as product, one of the key principles. You think about monetization. This is really different than what we've been used to in data, which is just getting the technology to work has been been so hard, so how do you see sort of the future? And, you know, give us your closing thoughts please. >> Yeah, absolutely. And I think we're really at this pivotal moment, and I think you said it well. We all know the constraint and the challenges with data, how to actually do data at scale. And while we've seen a ton of innovation on the infrastructure side, we fundamentally believe that just getting a faster database is important, but it's not going to fully solve the challenges and truly kind of deliver on the opportunity. And that's why now is really the time to deliver this data intelligence vision, the data intelligence platform. We are still early, making it as easy as we can. It's kind of our, as our mission. And so I'm really, really excited to see what we are going to, how the markets are going to evolve over the next few quarters and years. I think the trend is clearly there, when we talk about data mesh, this kind of federated approach, focus on data products is just another signal that we believe that a lot of our organizations are now at the time, they understand the need to go beyond just the technology, how to really, really think about how to actually scale data as a business function, just like we've done with IT, with HR, with sales and marketing, with finance. That's how we need to think about data. I think now's the time given the economic environment that we are in, much more focus on control, much more focus on productivity, efficiency, and now's the time we need to look beyond just the technology and infrastructure to think of how to scale data, how to manage data at scale. >> Yeah, it's a new era. The next 10 years of data won't be like the last, as I always say. Felix, thanks so much, and good luck in San Diego. I know you're going to crush it out there. >> Thank you Dave. >> Yeah, it's a great spot for an in person event, and of course, the content post event is going to be available at collibra.com, and you can of course catch the Cube coverage at thecube.net, and all the news at siliconangle.com. This is Dave Vellante for the Cube, your leader in enterprise and emerging tech coverage. (light music)

(upbeat music) >> Welcome back. We're winding down theCUBE's coverage of Red Hat Summit 2022. We're here at the Seaport in Boston. It's been two days of a little different Red Hat Summit. We're used to eight, 9,000 people. It's much smaller event this year, fewer developers or actually in terms of the mix, a lot more suits this year, which is kind of interesting to see that evolution and a big virtual audience. And I love the way, the keynotes we've noticed are a lot tighter. They're pithy, on time, they're not keeping us in the hall for three hours. So we appreciate that kind of catering to the virtual audience. Dave Vellante here with my co-host, Paul Gillin. As to say things are winding down, there was an analyst event here today, that's ended, but luckily we have Jim Mercer here as a research director at IDC. He's going to share maybe some of the learnings from that event today and this event overall, we're going to talk about DevSecOps. And Kirsten Newcomer is director of security, product management and hybrid platforms at Red Hat. Folks, welcome. >> Thank you. >> Thank you. >> Great to see you. >> Great to be here. >> Security's everywhere, right? You and I have spoken about the supply chain hacks, we've done some sort of interesting work around that and reporting around that. I feel like SolarWinds created a new awareness. You see these moments, it's Stuxnet, or WannaCry and now is SolarWinds very insidious, but security, Red Hat, it's everywhere in your portfolio. Maybe talk about the strategy. >> Sure, absolutely. We feel strongly that it's really important that security be something that is managed in a holistic way present throughout the application stack, starting with the operating system and also throughout the life cycle, which is partly where DevSecOps comes in. So Red Hat has kind of had a long history here, right? Think SELinux and Red Hat Enterprise Linux for mandatory access control. That's been a key component of securing containers in a Kubernetes environment. SELinux has demonstrated the ability to prevent or mitigate container escapes to the file system. And we just have continued to work up the stack as we go, our acquisition of stack rocks a little over a year ago, now known as Red Hat Advanced Cluster Security, gives us the opportunity to really deliver on that DevSecOps component. So Kubernetes native security solution with the ability to both help shift security left for the developers by integrating in the supply chain, but also providing a SecOps perspective for the operations and the security team and feeding information between the two to really try and do that closed infinity loop and then an additional investment more recently in sigstore and some technologies. >> Interesting. >> Yeah, is interesting. >> Go ahead. >> But Shift Left, explain to people what you mean by Shift Left for people might not be familiar with that term. >> Fair enough. For many, many years, right, IT security has been something that's largely been part of an operations environment and not something that developers tended to need to be engaged in with the exception of say source code static analysis tools. We started to see vulnerability management tools get added, but even then they tend to come after the application has been built. And I even ran a few years ago, I ran into a customer who said my security team won't let me get this information early. So Shift Left is all about making sure that there are security gates in the app dev process and information provided to the developer as early as possible. In fact, even in the IDE, Red Hat code ready dependency analytics does that, so that the developers are part of the solution and don't have to wait and get their apps stalled just before it's ready to go into deployment. >> Thank you. You've also been advocating for supply chain security, software supply chain. First of all, explain what a software supply chain is and then, what is unique about the security needs of that environment? >> Sure. And the SolarWinds example, as Dave said, really kind of has raised awareness around this. So just like we use the term supply chain, most people given kind of what's been happening with the pandemic, they've started hearing that term a lot more than they used to, right? So there's a supply chain to get your groceries, to the grocery store, food to the grocery store. There's a supply chain for manufacturing, where do the parts come for the laptops that we're all using, right? And where do they get assembled? Software has a supply chain also, right? So for years and even more so now, developers have been including open source components into the applications they build. So some of the supplies for the applications, the components of those applications, they can come from anywhere in the world. They can come from a wide range of open source projects. Developers are adding their custom code to that. All of this needs to be built together, delivered together and so when we think about a supply chain and the SolarWinds hack, right, there are a couple of elements of supply chain security that are particularly key. The executive order from May of last year, I think was partly in direct response to the SolarWinds hack. And it calls out that we need a software bill of materials. Now again, in manufacturing that's something folks are used to, I actually had the opportunity to contribute to the software package data exchange format, SPDX when it was first started, I've lost track of when that was. But an S-bomb is all about saying, what are all of those components that I'm delivering in my solution? It might be an application layer. It might be the host operating system layer, but at every layer. And if I know what's in what I'm delivering, I have the opportunity to learn more information about those components to track where does Log4Shell, right? When the Log4j or Spring4Shell, which followed shortly thereafter. When those hit, how do I find out which solutions that I'm running have the vulnerable components in them and where are they? The software bill of materials helps with that but you also have to know where, right. And that's the Ops side. I feel like I missed a piece of your question. >> No, it's not a silver bullet though, to your point and Log4j very widely used, but let's bring Jim into the conversation. So Jim, we've been talking about some of these trends, what's your focus area of research? What are you seeing as some of the mega trends in this space? >> I mean, I focus in DevOps and DevSecOps and it's interesting just talking about trends. Kirsten was mentioning the open source and if you look back five, six, seven years ago and you went to any major financial institution, you asked them if they use an open source. Oh, no. >> True. >> We don't use that, right. We wrote it all here. It's all from our developers-- >> Witchcraft. >> Yeah, right, exactly. But the reality is, they probably use a little open source back then but they didn't realize it. >> It's exactly true. >> However, today, not only are they not on versed to open source, they're seeking it out, right. So we have survey data that kind of indicates... A survey that was run kind of in late 2021 that shows that 70% of those who responded said that within the next two years 90% of their applications will be made up of open source. In other words, the content of an application, 10% will be written by themselves and 90% will come from other sources. So we're seeing these more kind of composite applications. Not, everybody's kind of, if you will, at that 90%, but applications are much more composite than they were before. So I'm pulling in pieces, but I'm taking the innovation of the community. So I not only have the innovation of my developers, but I can expand that. I can take the innovation to the community and bring that in and do things much quicker. I can also not have my developers worry about things that, maybe just kind of common stuff that's out there that might have already been written. In other words, just focus on the business logic, don't focus on, how to get orders or how to move widgets and those types of things that everybody does 'cause that's out there in open source. I'll just take that, right. I'll take it, somebody's perfected it, better than I'll ever do. I'll take that in and then I'll just focus and build my business logic on top of that. So open source has been a boom for growth. And I think we've heard a little bit of that (Kirsten laughs) in the last two days-- >> In the Keynotes. >> From Red Hat, right. But talking about the software bill of materials, and then you think about now I taking all that stuff in, I have my first level open source that I took in, it's called it component A. But behind component A is all these transitive dependencies. In other words, open source also uses open source, right? So there's this kind of this, if you will, web or nest, if you want to call it that, of transitive dependencies that need to be understood. And if I have five, six layers deep, I have a vulnerability in another component and I'm over here. Well, guess what? I picked up that vulnerability, right. Even though I didn't explicitly go for that component. So that's where understanding that software bill of materials is really important. I like to explain it as, during the pandemic, we've all experienced, there was all this contact tracing. It was a term where all came to mind. The software bill of materials is like the contact tracing for your open source, right. >> Good analogy. >> Anything that I've come in contact with, just because I came in contact with it, even though I didn't explicitly go looking for COVID, if you will, I got it, right. So in the same regard, that's how I do the contact tracing for my software. >> That 90% figure is really striking. 90% open source use is really striking, considering that it wasn't that long ago that one of the wraps on open source was it's insecure because anybody can see the code, therefore anybody can see the vulnerabilities. What changed? >> I'll say that, what changed is kind of first, the understanding that I can leapfrog and innovate with open source, right? There's more open source content out there. So as organizations had to digitally transform themselves and we've all heard the terminology around, well, hey, with the pandemic, we've leapfrog up five years of digital transformation or something along those lines, right? Open source is part of what helps those teams to do that type of leapfrog and do that type of innovation. You had to develop all of that natively, it just takes too long, or you might not have the talent to do it, right. And to find that talent to do it. So it kind of gives you that benefit. The interesting thing about what you mentioned there was, now we're hearing about all these vulnerabilities, right, in open source, that we need to contend with because the bad guys realize that I'm taking a lot of open source and they're saying, geez, that's a great way to get myself into applications. If I get myself into this one open source component, I'll get into thousands or more applications. So it's a fast path into the supply chain. And that's why it's so important that you understand where your vulnerabilities are in the software-- >> I think the visibility cuts two ways though. So when people say, it's insecure because it's visible. In fact, actually the visibility helps with security. The reality that I can go see the code, that there is a community working on finding and fixing vulnerabilities in that code. Whereas in code that is not open source it's a little bit more security by obscurity, which isn't really security. And there could well be vulnerabilities that a good hacker is going to find, but are not disclosed. So one of the other things we feel strongly about at Red Hat, frankly, is if there is a CVE that affects our code, we disclose that publicly, we have a public CVE database. And it's actually really important to us that we share that, we think we share way more information about issues in our code than most other users or consumers of open source and we work that through the broad community as well. And then also for our enterprise customers, if an issue needs to be fixed, we don't just fix it in the most recent version of the open source. We will backport that fix. And one of the challenges, if you're only addressing the most recent version, that may not be well tested, it might have other bugs, it might have other issues. When we backport a security vulnerability fix, we're able to do that to a stable version, give the customers the benefit of all the testing and use that's gone on while also fixing. >> Kirsten, can you talk about the announcements 'cause everybody's wondering, okay, now what do I do about this? What technology is there to help me? Obviously this framework, you got to follow the right processes, skill sets, all that, not to dismiss that, that's the most important part, but the announcements that you made at Red Hat Summit and how does the StackRox acquisition fit into those? >> Sure. So in particular, if we stick with DevSecOps a minute, but again, I'll do. Again for me, DevSecOps is the full life cycle and many people think of it as just that Shift Left piece. But for me, it's the whole thing. So StackRox ACS has had the ability to integrate into the CI/CD pipeline before we bought them. That continues. They don't just assess for vulnerabilities, but also for application misconfigurations, excess proof requests and helm charts, deployment YAML. So kind of the big, there are two sort of major things in the DevSecOps angle of the announcement or the supply chain angle of the announcement, which is the investment that we've been making in sigstore, signing, getting integrity of the components, the elements you're deploying is important. I have been asked for years about the ability to sign container images. The reality is that the signing technology and Red Hat signs everything we ship and always have, but the signing technology wasn't designed to be used in a CI/CD pipeline and sigstore is explicitly designed for that use case to make it easy for developers, as well as you can back it with full CO, you can back it with an OIDC based signing, keyless signing, throw away the key. Or if you want that enterprise CA, you can have that backing there too. >> And you can establish that as a protocol where you must. >> You can, right. So our pattern-- >> So that would've helped with SolarWinds. >> Absolutely. >> Because they were putting in malware and then taking it out, seeing what happened. My question was, could sigstore help? I always evaluate now everything and I'm not a security expert, but would this have helped with SolarWinds? A lot of times the answer is no. >> It's a combination. So a combination of sigstore integrated with Tekton Chains. So we ship Tekton, which is a Kubernetes supply chain pipeline. As OpenShift pipelines, we added chains to that. Chains allows you to attest every step in your pipeline. And you're doing that attestation by signing those steps so that you can validate that those steps have not changed. And in fact, the folks at SolarWinds are using Tekton Chains. They did a great talk in October at KubeCon North America on the changes they've made to their supply chain. So they're using both Tekton Chains and sigstore as part of their updated pipeline. Our pattern will allow our customers to deploy OpenShift, advanced cluster manager, advanced cluster security and Quay with security gates in place. And that include a pipeline built on Tekton with Tekton Chains there to sign those steps in the pipeline to enable signing of the code that's moving through that pipeline to store that signature in Quay and to validate the image signature upon deployment with advanced cluster security. >> So Jim, your perspective on this, Red Hat's, I mean, you care about security, security's everywhere, but you're not a security company. You follow security companies. There's like far too many of them. CISOs all say my number one challenge is lack of talent, but I have all these tools to deal with. You see new emerging companies that are doing pretty well. And then you see a company that's highly respected, like an Okta screw up the communications on a pretty benign hack. Actually, when you peel the onion on that, it's just this mess (chuckles) and it doesn't seem like it's going to get any simpler. Maybe the answer is companies like Red Hat kind of absorbing that and taking care of it. What do you see there? I mean, maybe it's great for business 'cause you've got so many companies. >> There's a lot of companies and there's certainly a lot of innovation out there and unique ways to make security easier, right. I mean, one of the keys here is to be able to make security easier for developers, right. One of the challenges with adopting DevSecOps is if DevSecOps creates a lot of friction in the process, it's hard to really... I can do it once, but I can't keep doing that and get the same kind of velocity. So I need to take the friction out of the process. And one of the challenges a lot of organizations have, and I've heard this from the development side, but I've also heard it from the InfoSec side, right. Because I take inquiry for people on InfoSec, and they're like, how do I get these developers to do what I want? And part of the challenge they have is like, I got these teams using these tools. I got those teams using those tools. And it's a similar challenge that we saw on DevOps where there's just too many, if you will, too many dang tools, right. So that is a challenge for organizations is, they're trying to kind of normalize the tools. Interestingly, we did a survey, I think around last August or something. And one of the questions was around, where do you want your security? Where do you want to get your DevSecOps security from, do you want to get it from individual vendors? Or do you want to get it from like, your platforms that you're using and deploying changes in Kubernetes. >> Great question. What did they say? >> The majority of them, they're hoping they can get it built into the platform. That's really what they want. And you see a lot of the security vendors are trying to build security platforms. Like we're not just assess tool, we're desk, we're this, whatever. And they're building platforms to kind of be that end-to-end security platform, trying to solve that problem, right, to make it easier to kind of consume the product overall, without a bunch of individual tools along the way. But certainly tool sprawl is definitely a challenge out there. Just one other point around the sigstore stuff which I love. Because that goes back to the supply chain and talking about digital providence, right. Understanding where things... How do I validate that what I gave you is what you thought it was, right. And what I like about it with Tekton Chains is because there's a couple things. Well, first of all, I don't want to just sign things after I built the binary. Well, I mean, I do want to sign it, but I want to just sign things once, right. Because all through the process, I think of it as a manufacturing plant, right. I'm making automobiles. If I check the quality of the automobile at one stage and I don't check it to the other, things have changed, right. How do I know that I did something wasn't compromised, right. So with sigstore kind of tied in with Tekton Chains, kind of gives me that view. And the other aspect I like it about is, this kind of transparency in the log, right-- >> The report component. >> Exactly. So I can see what was going on. So there is some this kind of like public scrutiny, like if something bad happened, you could go back and see what happened there and it wasn't as you were expected. >> As with most discussions on this topic, we could go for an hour because it's really important. And thank you guys for coming on and sharing your perspectives, the data. >> Our pleasure. >> And keep up the good work. Kirsten, it's on you. >> Thanks so much. >> The IDC survey said it, they want it in platforms. You're up. >> (laughs) That's right. >> All right. Good luck to both you. >> Thank you both so much. >> All right. And thank you for watching. We're back to wrap right after this short break. This is Dave Vellante for Paul Gill. You're watching theCUBE. (upbeat music)

>>Welcome to the cubes dock, our main stage coverage here at DockerCon 2022. I'm John furrier, host of the cube. We're here with cube alumni, a partner scene, the senior director of product and the developer platform at Google cloud, a partner. Great to see you. It's been a while how's things >>Great to see you, John. Thanks for having me. >>So obviously we've covered a lot about the Google's history and open source. If you go back, I mean go back generation 2000, it all started, it continues to continue to thrive the SDO, all the different projects you guys are around the future of containers and serverless all there. Give us the update. Why are customers choosing Google cloud? We're here at Docker con what's the big update from Google cloud's perspective from a, from a developer perspective? >>Well, John, uh, Google cloud has been, uh, the early cloud on containers, um, and by all measures from, we can, from what we can see, you know, it is the preferred cloud for container native workloads. Um, I think why our customers choosing cloud there's a, there's a few different reasons. Um, definitely one of the reasons is because it is a flexible and open platform. And I think that that is, uh, distinctive about Google cloud, as you mentioned, uh, many, many open source projects coming from Google and Google cloud in particular over the last 20 years, um, spanning, um, languages, um, you know, obviously, uh, the go programming language all the way to of course, Kubernetes. Um, and then, uh, more recently Isto and, uh, K native and many more, uh Tecton is one of the leading projects as well. Um, in the C I C D space. >>So I think that, uh, history is something that really attracts the developer population. It's also very, very important for enterprises that are, uh, modernizing and looking to accelerate their, uh, developer productivity. So that's been one major reason. I think the second major reason is really the security aspect, um, of the developer tool chain and in particular related to open source secure well, and I think the third, uh, reason that comes out, um, quite frequently when we, when we talk to our enterprise customers is Google cloud is unique in the multi-cloud space. Um, you know, one of the first, I think probably the first and, uh, only cloud provider to have a very strong multi-cloud strategy, uh, and that stems from the open source roots, but also, you know, uh, bringing more than just, uh, compute, bringing many of our data services also, uh, to the multi-cloud space. I think that's, those are the three reasons why, uh, developers often choose Google cloud. >>Yeah. And you see the multi-cloud also in a distributed computing environment. It's, I mean, multi-cloud is basically distributed computing where you've got hyperscalers and then edges emerging very quickly. Of course, we've talked about that in the past, on previous interviews, how security at the edge software opensource all coming together. Again, Kubernetes launched by Google contributed to the open source world that everyone knows that, or may not know that. Um, but, but that's key. Where do you see the container position come in? Because at the end of the day, containers is standard and now you've got Kubernetes and other parts wrapped around it. Where's container technology going in the coming, coming in the future years. Is it gonna be invisible? Is it gonna be programmable? What's your vision on that? >>This is an excellent question. And you're exactly right. You're seeing containers become mainstream. And some of the latest, uh, state of the, the state of the cloud business report, you're seeing, you know, 80% of enterprises, um, having some form of a container program and I've been involved in this industry since the very early days. So this is something we've been predicting, um, and it is happening even faster than expected. So that's becoming very mainstream, which is extremely exciting for us. Now you ask, you know, what is the future and what is the evolution of it? Um, so, and, and I think, uh, this is the right question because, um, you're seeing a lot of the future actually on Google cloud. Um, we're, we've won the, uh, Gartner and Forester quadrants as far as leader quadrants in, uh, you know, container offerings. And that's not just Kubernetes, of course, uh, Google Kubernetes engine has been, has been the leading area, but there's a whole host of offerings around that. >>Um, in particular I'd like to point out serverless containers with cloud run, as well as the entire DevOps pipeline around containers. And that's a big topic in the industry right now. It brings in, uh, security as related to, uh, developers. And then of course, uh, you know, providing an automated, secure pipeline for DevOps, um, as it relates to containers, we've had several announcements and, and, and a lot of success in this space. Uh, I, I can go through some of these things with cloud run, which is our serverless container offering. We've seen, uh, four X growth in adoption and, uh, consumption of that service last year in 2021. And that is continuing, uh, so it's very, very healthy and it is very much the reason customers are adopting. It is because they don't need to learn a lot of the underlying infrastructure. They don't need to manage any of the underlying infrastructure. >>There isn't necessarily a cluster to manage all of that is taken care of, uh, for them. And they can focus on their application. They can actually use, uh, make use of the benefits of containers, such as, uh, you know, scalability, um, such as, um, application awareness, uh, and such as a lot of the integrated tool chain for, uh, delivery for application delivery, right from your source repository into production, and then being able to bring out new versions of your application, test them, and then roll over. So this is kind of the new, uh, uh, generation I think is very much tied to the pandemic and what's happening in the world post pandemic, where developers are extremely important, developer productivity and, and fact developer work, life balance is extremely >>Important. Yeah. And I, and I think also one of the things that we're seeing to piggyback on that last comment, as well as your other points is developers have always been pulled to the front lines even 10 years ago. You saw the trend towards getting more closer to the customer now with cloud and edge and with open source being the innovation equation where entrepreneurs are starting projects, companies are starting projects, then they gotta get commercialized. So supply chain is a big discussion. We're hearing at Docker con we're hearing about shifting left of security data as code. You start to see the developer on the front lines in all aspects of this, and they want, they want security, they want efficiency, they want things in the pipeline. They don't wanna have to shift left, then come back again. So again, they starting to see this kind of productivity drive the business behavior of the companies cuz that's their, the value partners. That's the application side of cloud native. What's your thoughts for the developers who are doing that? What's in it for them with Google cloud? Why, why are you important to them? >>Yeah, and I think, uh, John, this is where, uh, developers, uh, tend to prefer Google cloud. And there's a couple of reasons for that. One is, you know, we are very much, uh, centered around developers. Um, you know, my job is, uh, you know, Google cloud developer platform. And, uh, our goal is to provide ease of use the easiest cloud for developers. Something that is, um, you know, really allows them to get their work done quickly. Developers want to be exposed to the best technology. They want to be able to be exposed to it in a way that that integrates into their workflow that integrates into the tools that they're used to, um, and allows them to get their job done quickly. And so a lot of what we're doing in, in the developer space is providing an integrated stack. Um, you know, whether you're building a web application or you're building a mobile application, or you're trying to do data analytics, uh, Google cloud should be a place that you come to. >>That's easy for you to use, to get the job done. Um, and, and, and the security aspect is not something that developers like to deal with. They want that to be taken care of for them, um, troubleshooting as well, you know, troubleshooting and, and upgrading. And all of that is something that they wanna be taken care of. And so that is something that we're baking into the platform. And you'll see that in a lot of our tooling, um, you know, the build process, uh, we're providing salsa compliance, um, and, and build Providence for the security teams to be able to audit. But it's not something that the, that the developer needs to take care of. It's something that is just part of the, the build process built into, uh, say, uh, cloud run or GK built into our compute options for making >>It for them, making it easy, simple, and reduce the steps it takes to get the job done. So great stuff par, great to see you in the last 30 seconds, we have left. Just give a quick commercial for what the key projects are in open source. You're proud of that people should pay attention to, we got CubeCon coming up, uh, in, uh, Europe and north America. What are some of the successes that you like to point out? >>Well, I really encourage, uh, developers to go and take a look, a new look at, go go 1.8, add support for generics. It should open up a brand new set of applications. So I definitely encourage folks to, to take a look at that, um, of, of course ISEO and service mesh. As, as your container footprint grows, you have many microservices looking at service mesh, uh, extremely important, and it also allows you to get to that SRE type of, um, uh, DevOps model where, you know, you're securing your services. You're also, uh, being able to monitor and control, uh, service usage. And then the last one is of course Tecton and this is where secure software supply chain comes up. Part I'll >>Mention that. I wish I had 20 minutes. Love chatting with you. We'll catch up with you later on the cube we're here at DockerCon. Thanks for your time. Back to the DockerCon main stages of the cube. I'm John farrier, back to the main stage for more coverage.

>>All right. Let's kick things off. I'm Lisa Martin with Richard Hummel manager of threat intelligence at NetScout. We're going to be talking about the vertical industries where attackers really zeroed in for DDoSs attacks. Richard. This is some interesting findings in the second half of 20 21, 20 21. >>It is in it's unfortunate because I never liked to see individuals or organizations specifically targeted by DDoS attacks and often this kind of individualistic targeting isn't so individual. And what I mean by that is DDoS attacks. Almost always have some form of ripple effects. It collateral damage that extends far beyond who the adversary is going after. We've got an example of this. There's there's been a lot of reports recently about, uh, various void providers, um, starting in Eastern Europe and expanding even to north America and various other parts of the world that have reported this DDoS extortion campaign or crew or whoever it might be copycatting as our eval, which is a notable ransomware group that all those publicly no, no that they were successful. Well, these guys are, are copycatting that unfortunately they've been very successful in some of these attacks and some of the companies have gone on record saying that, look, this didn't just impact us. >>They didn't just take our services offline. None of our customers could make calls. They could not do the reputation damage alone. How many of you users or subscribers did they lose as a result of them not being able to meet phone calls, how much revenue loss during that time period that they're losing out on. I go back all the way back to last year, and we saw something similar with another DDoSs extortion campaign against the New Zealand stock exchange. It was down for almost four days. Just think about the sheer amount of revenue loss and just all of the things that domino effect from there, right? It's not just the exchange commission that had problems. It's not just them. It's all of the stockholders and anybody that couldn't make a trade. And so yes, adversaries absolutely single out organizations, but the damage that it causes to those around them can be astronomical. >>Right? The downstream effects are just go, as you said, the ripple effect just goes on and on. And on. One of the things that I found interesting in the second half of 2021 threat intelligence report was that telecommunications verticals, which are usually a popular target for attackers actually saw fewer attacks in second half. Why is that? What are your thoughts there? >>So I think a lot of this goes back to why we saw a decrease in the second half of the year. Yeah. That decrease is almost exclusively attributed to a decrease in DNS amplification in CLD, DNS being like the predominant, uh, the us attack factor for many, many years, uh, TCP attacks, these direct path attacks that we talked about in our last segment, where they are direct from button ads or they're source from high powered, we're seeing a rebalancing, the scales here. So we're seeing about equal parts of both of these kinds of attacks now versus the reflection amplification that the amplification stuff being predominant. Um, and so that's one of the reasons why we saw that decrease. And when we look at the telecommunications and wired it and wireless, um, these are your consumers. These are your gamers. These are just individuals sitting at home, minding their own business that are getting DDoS attack. >>Then we've talked about it on previous interviews that we've done, that gamers are predominantly the targets of DDoS attacks. And so if we're seeing a decrease in like the preferred method for these attacks to occur, naturally, we're going to see a decrease in some of the attacks against these consumers. But what's notable here in, in telecommunication is considered like this big umbrella, right? You have wired, you have wireless, you have mobile, you have satellite, you have all other telecommunications, which is where your work providers fall. Um, so most of them we saw decreases, but in wireless and all other telecommunications now wireless, remember this 5g advent, and then the other telecommunications with this digital extortion stuff against the void providers. Those are two areas where we saw increases wireless, saw 32% increase and all other telecommunications think void saw at 93% increase. And so we are seeing some increases here, but the higher kind of frequency or attack counts in the wired, um, in a mobile, those saw decreases. >>Let's talk about 5g where, you know, everybody is so excited about it. The adoption is coming. What's going to be the amplification implication of 5g in terms of feeling increased attacks, >>Just the sheer volume. I mean, when we start to introduce 5g, now we're talking about every single device that we have potentially having its own space on the internet. You may have high bandwidth, high throughput capacity. And so we're not talking about just in the home, right. 5g is going to be everywhere. So now just take all of your IOT devices that maybe either be isolated to your home network are now going to be across the entire globe, outside the home on 5g networks that have the capability to launch really fast, really, really potent attacks. And so just the, the footprint really of what we've got to think about from a security perspective and from a defense perspective, it's going to flip things on its head quite a bit, because you're going from here's everything that I'm going to secure inside. My let's just use the castle representation again, everything's inside the castle. >>I put my boundaries in place. I've got my firewalls. I've got my IDs is I've got my access control lists. So anything outside of my sphere or my domain is irrelevant because I don't care about it. Well, 5g is going to blast that away because not only do you not have it on prem anymore, everything starts to get its own direct connection to the internet. How do you secure 5g? Does your organization have that in practice? I mean, ISP is, are still rolling 5g out and are still trying to figure things out as they go, how much more do enterprises and others that are gonna be consumers of this need to figure out how we're going to secure against these. And so, yeah, it's gonna introduce a whole new realm of how we need to think about security, >>A whole new realm, lots to consider there. Another thing besides the wireless telecommunications that that report uncovered was that closely related related software and computer and manufacturing verticals also saw massive increases in attacks. Why talk to us about that? >>You know, I think it's a logical progression of attacks. Um, the last report we put out, we talked about the conduct of the supply chain and what we meant by that was how do we communicate? How do we talk to each other? How do we get into our work, uh, assets? We use a VPN, we use DNS servers. We use internet exchanges to resolve our websites, adversaries increase the tax against those. And that was kind of like the connectivity piece. Well, let's, let's take a step back. What do you need to be able to get online? You need a computer, you need software and you need the ability to store some of this data on your computer. So what we saw 606% increase in attacks against software publishers, 260 and 253% increases against computer manufacturing, computer storage manufacturing together. To me, these are the digital supply chain. >>These are the things that allow us to do what we need to do. And so it's almost like a natural progression. And we see this a lot with DDoS extortion. So take the Lazarus Paramatta guys. We talked about last time, you know, they've initially started against financial organizations going after banks. Then they moved to the stock markets and they moved to insurance brokerages accounts. They moved to travel exchanges, currency exchanges, and they started this domino effect that, you know what, let's go where the money is. Maybe we'll get a payday that didn't work so slowly. They started to expand. Eventually LBA started targeting anybody and everybody in every single industry in vertical. And so what we see here is kind of like a logical progression of, you know, what our, to the supply chain attacks didn't work. And there's a good reason for them because these devices that they're going after are usually very, very secure. And so DDoS attacks, they can absorb them. They can mitigate them that they just bounce off. So can we succeed by going a little bit more upstream or downstream? However you want to look at this by targeting the actual manufacturers themselves, the people who create the software, we need to be able to conduct our business. And so that's kind of the logical progression of what we're seeing here. >>So Richard, how can companies prepare, defend against the attacks against the digital supply chain? That's pretty critical >>Preparation. Preparation is the key. And if we follow best current or best industry practices, um, there's this 80 20 rule that a colleague of mine likes to use. If you do 80% of the recommended things, the best current practices, it solves 80% of your problem and not just for the DDoS problem, but also for things like ransomware, various other, it's really that 20% in there that you have to worry about. And that's going to be being aware, knowing the adversaries are actually going after software publishers who would have funk it. Right. Who would think that they're actually going after the manufacturer of the applications that I'm using to talk to you right now, Lisa, right. Yeah. And so these are the kinds of things that people just aren't always aware of. And so making sure that we're cognizant of the actual targets of these attacks, and then from there, figuring out is there is our business involved in any kind of, of the software publishing. >>Should we be concerned about that? And if not, what about where we're getting our software from? Do they have to worry about this? Is there a risk for them not being able to deliver something to us because they're under bombardment by detail sometimes. And so it's just being aware and taking steps to be able to handle prepare. And I will say it again. You must have some sort of DDoS protections in place. It's not when, or it's not, if it's when you're going to get attacked and everybody, even if you are not the direct target, there's collateral damage as we talked about in the last segment. >>Yep. It's a matter of, if not, when, and that's something that businesses of any size in any industry have to be prepared for, as you said, preparation is really number one. Richard, thank you for sharing some of the really interesting findings and the verticals that have saw massive increases in the second half of 2021. And we look forward to what you're going to uncover next. >>Absolutely. Thanks again for having me. It's been a pleasure. >>Likewise. We want to thank you for watching the program today. Remember all these videos are available@thecubedotnetandyoucancheckoutthenewsfromtodayonsiliconangledotcomandofcoursenetscout.com many thanks to NetScout for making this program possible and sponsoring the cube. This is Lisa Martin signing off. Thanks for watching and bye for now.

(upbeat music) >> Hey everyone. Welcome to theCUBE's coverage of the International Women's Showcase for 2022. I'm your host, Lisa Martin. I'm really excited because for the first time in my CUBE career of six years, I have a father daughter duo maybe the first time in CUBE's history. Frank and Emma Arrigo from AWS join me guys it's great to have you on the program. >> Great to be here thank you. >> So, Emma, let's go ahead and start with you. Talk to us about how you got to AWS and a little bit about your background. >> Yes, thanks Lisa. So I've joined AWS as a recent graduate from university. So I did my masters of data science and I was going through the grad, the grad job hunt applying for all these different places. And AWS appeared on my radar for an intern program. And Frank was there at the time and so I was like, "Should I do it?" But I still applied cause it was a great program. And so I went did that internship for three months over the summer of 2019-2020, and then I went back and finished my degree. And another grad role came up for in AWS in Tech U to be an associate solutions architect. And so I was approached to apply for that. And I got through to that program and joined the team almost a year ago in March, 2021 through Tech U and yeah, that's how I ended up at AWS. >> Excellent and so Frank, this is a pretty unique situation, father daughter duo at AWS let alone Amazon, let alone probably a lot of companies. Talk to me about it the parental lens. >> Yeah, look it is unique, there's a few family connections within AWS, but you know, definitely here in Australia, it's really rare, but I think the family connection is, you know Emma and we've got four kids, I've got four kids in total. So Emma has three brothers, you know, I've lived in tech, my entire career and so they've been part of it. You know, we've lived in the States, lived in Seattle for a couple of years. And so they'd come to the office and see what dad did. And so it wasn't a big surprise for them to understand what the role was and what we did, so, you know, they kind of grew up with it. And you know, when the opportunity came up for Emma, did the internship, I was excited for it because it was in a different area. It was working in a startup team doing some interesting work that really lined up with some of the interest Emma had. And so she kind of learned what it was like to be Amazonian through that internship and that was... I call that a long audition for a job. And she was then able to join Tech U program, which is a early career bootcamp, I like to think of it, which is the six month program to help our grads learn some of the fundamental skills because the value of a solutions architect or some of these other tech roles is you need experience. You need to have been in the game a while to be a trusted advisor to a customer. And it's hard to do that when you're a grad. So the bootcamp gives them the practical experience and then they get another six months on the job experience where they develop those skills and hone it and get ready to, you know, be a trusted advisor to the customers. >> Right, and that's such a great... I'm sure that's a tremendous opportunity to learn how to become that trusted advisor, especially from peers, such as yourself and I want to go back to you. Talk to me about your interest in IT, in data science. Was this something that you were always interested in primary school or in high school? Or was this something that kind of came on later on? >> Yeah, so my interest in tech kind of emerged as I went along in my education. So when I was younger, I really wanted to be an orthodontist for some reason. I don't know why. And then you just sort of in year eight and like early school sort of didn't really know what I wanted to do. Just sort of going through just trying to survive as a teenage girl at high school at an all girls school, didn't really have many, didn't really have career aspirations, I guess, and then one year I attended a information day at a university about engineering and that just really sparked my interest, I don't know why, but I was like, I've always been obsessed with like factories and those types of things and how things are made. And so that really just sparked my interest and I never really thought of it before. And so then that put STEM engineering on my radar and then I guess spoke with it about with the parents. And then they mentioned that tech would be a like IT, Information Technology would be really useful. And so then we approached the school to ask if I could do IT in year 11. So that's sort of our second last year of high school. And they said, "No, we couldn't do IT." I couldn't go to the boys' school to do IT. That girls don't do it or that not good at it. And I wasn't allowed, and they wouldn't let me do physics either. So I moved school in for the final two of high school to be able to do IT and physics to help, you know, get to the course I wanted to do. And so that was my journey into STEM. So it wasn't really on my radar, but then events like this and at university isn't it? Organizations sparked my interest. And then still when I entered university, I didn't know exactly what I wanted to major in nor where I wanted to work would never have thought it would be where, with my father, like I was aware of the world of IT and everything, but I wouldn't, if you'd asked me in first year, it wouldn't have been that I would probably, we would've said, I don't know an academic or something. I don't know. And then, but again, as the university went on and you attend networking events or club things, you sort of learn a bit more about the ecosystem. And then that's where yeah. Tech company sort of became where I was looking for jobs and roles for when I finished up. So that was kind of my journey to... >> So what I love though, that you and Frank, this is going to be a question for you, how Emma was told. "No, you can't study IT. No, you can't study physics. You can't go to the boys school and do that either." Talk to me about that, Frank, from your perspective as a parent of a daughter, and you said, I think she's got three brothers lucky, Emma, but talk to me about that from your perspective, in terms of going, my daughter has really has an in a strong interest in this and they're telling her no we're going to pivot and actually change schools to be able give her the opportunities that she wants to pursue. >> Yeah. Look, as a parent, we were shocked. You know, it was just an unexpected response, you know, in a lot of ways, the school that she was at was more of a finishing school than anything else, you know, preparing young ladies for marriage and, you know, career as a, I don't know, I will leave it at that. So we were really disappointed. And so very quickly we looked at other alternatives and other options and we pulled Emma out of school and we knew it was like the last two years are critical in Australia. We don't have a middle school and a senior school, it's all one, you know, combined thing. But those last two years are all about getting ready for university. And so we made a really tough call and we picked her up, dropped her into a totally new school. It was co-ed school. And then when we told her previous, her girl's school. I actually spoke to the vice principal and he said, "Oh, I can't believe you're sending her to a co-ed school. She's going to struggle 'cause boys are so much better in tech." And I was totally, I was lost for words, right? Because I felt back in my career and I had some amazing female managers, leaders, role models in my time that I worked for and I followed and they were always struggling because, you know, they were in the minority, but they were incredible, you know, technologists and leaders. And I just couldn't believe it. So as parents we made the tough call. We picked Emma up. We put her into another high school and she flourished, you know, Emma started a club, she got convolved with a whole bunch of other things. When she graduated, the teachers felt that she'd been there six years, right? The whole time of it. So she really made a mark, made an impact at this school and so much so that her younger brother then followed and went to that school and completed his high school there as well. But it, we just can't believe it. And we tell it everyone, this story, you know, we name the school, we won't name. We choose not to name them here, but we name the school because we just think it's really terrible guidance and terrible advice. Like we want people to follow their passion. I tell my kids and I tell the folks when I speak to, you know, early career folks, follow your passion first, guess what the job will appear. Right? You know, there'll be the... The work will come if you do something that you love. And then the second piece that I always say is, "Every future job is going to be a tech job." Technology is embedded in everything that we do. So the fact that you say, "A girl can't do technology," you're limiting yourselves, right? You don't want to think that, you want to think about the possibilities rather than the things you can't do. It's the things you can do. And the things that you haven't even thought about doing. So that's why, you know, it was so exciting to see that experience with Emma, and just seeing her grow through that and she became a bit of a STEM advocate at a high school as well. So, she saw the value of her role model that helped her. And she wants to be a.... Continue being a role model for others as well, which again, I think is admirable, right? It's about- >> Absolutely. >> Shining a light and leading and as a parent, irrespective that we work at the same company as a parent, that's what you want to see. You want to see your kids aim high and inspire others. That's what she does. >> Well, she's already been a role model too, I mean, to your younger brother, but one of the things that we say often, and theCUBE does a lot for women in technology events. And I'm fortunate to get to host a lot of those, we say, "You can't be what you can't see." So needing to have those role models who are visible. Now, it doesn't have to be female necessarily. and Frank you mentioned that you had female mentors and role models and in your illustrious career. But the important point is being able to elevate women into positions where others can see and can identify, "Oh, there's a role model. There's somebody that might be a mentor for me, or a sponsor down the road, it's critically important." And as of course, we look at the numbers in tech, women in technical roles are still quite low, but Emma, tell me a little bit about, you've been through the program. You talked about that. What are some of the things that you feel in like the last six months that you've been able to learn that had you not had this opportunity, maybe you wouldn't have. >> You know, I think that's a great point. So as a solutions architect, I get to be both technical. So hands on building an AWS, helping customers solve their problems, whether it be a data leak or I don't know, an image recognition tool to look for garbage dumped on the street or, and also thinking from the business perspective for the customers, so that's a fun part as the, of the role, but things I get to do. So currently I'm working on a demo for the conference in Sydney. So I'm building a traffic detection model using some computer vision and IOT so I get to bring my data science background to this build and also learn about new areas like IOT, Internet Of Things; Technologies. So that's been a really fun project and yeah, just having the ability to play around on AWS, we have... >> Right. Well, the exposure in the experiences is priceless. You can't put a price on that, but being able to get into the environment, learn it from a technical perspective, learn it from a practical perspective. And then of course get all the great things about getting to interact with customers and learning how different industries work, you mentioned you were in public sector. That just must be a field of dreams, I would imagine. >> I know. >> In some senses for you, right? >> Really have lucked out. I know it's, I'm like, "Wow, this my job is to play around with some new service, just because need to know about that for the customer meeting. Like I'm building a chatbot or helping build a chatbot for a customer, at the university. So yeah, things like that make it very, yeah. It's a pretty amazing role. >> It sounds, it sure sounds like it. And sounds like you're are excelling at it tremendously. Let me ask you Emma. For young girls who might be in a similar situation to where you were not that long ago with the school telling you, "No, you can't do IT." "No, you can't do physics." So you actually switched schools. What would you tell those young girls who might be in that situation about hearing the word, "No." And would you advise them to embrace a career in technology? >> Yeah, I would say that it really..... What makes me so sad is if my family didn't know about tech and had my... Supported me through that like if I would've just gone, "Oh, okay. I won't do it." You know what I mean? Like that just makes me really sad. How many people have missed out on studying what they wanted to study. So by having those types of experiences, so what I would say as advice is, "Back yourself, find supporters, whether it be your family or a teacher that you really sort of connect with, to be able to support you and through these decisions." And yeah, I think having those sponsors in a way, your advocates to help you make those choices and help support you through those choices. >> Yeah. I agree. And I have a feeling you're going to be one of those sponsors and mentors, if you aren't already Emma, I have a feeling that's just around the corner from you. So Frank, last question to you. What's the overall lesson here, if we look at statistics, I mentioned some of the stats about, you know, women in technical roles as usually less than 25% globally. But also we see data that shows that companies are more profitable and more performant when there's at least 30% of the executive suite it's women. So from your parental perspective, and from an Amazonian perspective, Frank, what's the lesson here? >> Well, look from an Amazonian perspective, we need to make sure that we have a team that represents our customers, right? And our customers aren't all boys. You know, they're not all blokes, as we say down here. So you've got to have a team that is made up of what represents your customers. So I think that's the Amazonian view. And so diverse perspectives, diverse experience, diverse backgrounds is what does that. The other from a parent, you know, I said it earlier. I think every future job is a tech job. And I think it's really important that as kids come through, you know, primary school, high school, whatever, they're prepared for that, they're already consumers of technology. You know, they need to be creators or, or participate in that environment. And I can give you an example, a few years ago, I worked for, at a large telco here. And we actually invested in a thing called code club, which was aimed at primary school kids, kids in grade four, five and six. So elementary school for my friends in America, it's kids in grade four, five and six. And they were learning how to use scratch. Scratch is this interactive tool like building lego to write programming and believe it or not, there were more girls interested and were part of code club. It was probably 60-40 was the ratio of young girls doing it compared to boys because it was creative, it was a creative outlet, they were building stuff and assembling and making these things that they loved to make. Right. But then what we saw was there'd be a drop off at high school, whether it's curriculum related or interests or distractions, I don't know what it is, but there things get lost along the way along high school. But I see it at the primary school stage at elementary school that the interest is there. So I think part of it is, there needs to be a bit of a switch up in education or other opportunities outside of school to really foster and nurture and develop this interest because it really does take all kinds to be successful in the role. And Emma talked about a chatbot that she's building and that's a conversational thing. I can't see geek boys having being able to impact and create a interesting conversation, right. Then there's other areas that seems to be skewed and biased based on a predominantly male view of the world. So we need the tech, the industry needs these diverse perspectives and these diverse views, because, you know, to your point, it's going to impact the bottom line. It's going to also deliver a better product and it's going to reflect society. It's going to reflect the customers that are using it because we're made up of every, every race and color, creed, gender. And we need a team that represents that. >> Exactly. I couldn't agree more. Well, it sounds like the Arrigo family are quite the supporters of this, but also we need more of both of you. We need more of the sponsors and the parents who are encouraging the kids and making the right decisions to help them get along that path. And we need more folks like Emma and more women that we can see, "Wow, look what she's doing in such a short time period. We want to be just like that." So you guys are, have both been fantastic. I thank you so much for joining me at the International. Women's Showcase, more power to your family. We need more folks like you guys, so great work. Keep it up. >> Thank you. >> Thanks Lisa. >> For Frank and Emma Arrigo, I'm Lisa Martin. You're watching theCUBE's coverage of International Women's Showcase 2022. (soothing music)

(upbeat music) >> Hey everyone, welcome to theCUBE's coverage of Women in Tech: International Women's Day, 2022. I'm your host Lisa Martin. Clara Bidorini joins me next, a Business Developer for the startups team in Brazil at AWS. Clara, it's lovely to have you on the program. >> Hi Lisa, thank you for having me. >> I want to mention a couple accolades that you got just in 2021. You were one of the top 20 most influential women for open innovation in Brazil in 2021. And you were a finalist for Women in Tech Brazil Awards in the category of Ally in Tech 2021. Congratulations. >> Thank you so much, it was an awesome year and it's always important to be acknowledged for what you're doing in the market, right? >> Absolutely, everyone wants to be appreciated every now and then. Tell me a little bit about your role and your background. >> Of course. So I am living in Brazil, as you said, but actually I'm Italian. So I've been living abroad for the last, I will say 16 years. So I've been living in Portugal, I've been living in Switzerland and now in Brazil for the last, I will say 11 years. I'm a Social Entrepreneur and a Strategic Designer. I've been working with corporate ventures since 2014 and now I am Corporate Venture Manager for startups at Amazon Web Services. I've supported, throughout 10 years, enterprises, startups, public sector with corporate acceleration programs and open innovation initiatives within their customer throughout Latin America. >> What's the female representation like in the startup environment? >> Well it depends a lot, right? We have different trends globally speaking. If we look at, for example, global trends, and that includes United States for example, we see that the number of unicorns that for example are led by female is much lower than the number of total unicorn that you see. So if you talk about United States, for example, that has the highest number of unicorns, we see that between 2013 and 2021 the number of female at a unicorn is only 60 against 500 which is a total number of it. So we see that actually the percentage is 12% only, so we need much more representative in the female startup ecosystem. But numbers are changing, right? So this is promising. >> That is good, it is promising to see the numbers ticking up. In terms of positioning of women in leadership roles, what's the role that you see kind of commonly across startups, or maybe it varies by country. >> It varies by country you're right but definitely when we look at the trends and when we look at the data that we receive from National StartUp Association and startup organization in the different geos, you can see that startup that are founded by female leaders are, I will say as a proxy, from 4% to 12% in some countries, it gets to 18%, of the total number of startups to that country. So it's still a low number, but what we see which is interesting, is that much more startups that are led by both female and male co-founders are rising more and more. For example, in Brazil, it represents 28% which is almost 30% against the 12% of female-only founded startup and the 51% of the male founded startup. So I think it's promising to look at this mix of genders when we look at the foundations of startups because they're also getting, I will say, from five to six more investment than female founded startups. What does it mean? It means that we need to find I think more allies work in allyship with men in order to have more investment in startup by women. But it also means that unicorns and the biggest startup, the scale-up startups, are now starting for example to hire women in the leadership. So maybe we don't have so many startups that are founded by women, but we have more and more scale-ups and unicorns that are led by leaders which are women. So this is an interesting change, if we compare 2022 with 2013, for example. >> That's good that we've seen so much progress in that amount of time. And something that I've seen too, or looking at stats, we know that the number of females and technical roles is still pretty low below 25%, but there's a lot of data that show that companies with even 30% of the executive leadership team being female, are more performant and more profitable. So the data is there. Is that one of the reasons that you think that you're seeing a lot of these kind of co-CEOs, female-male counterparts in the startup community? >> Well, we already know that diversity and diverse teams are much more performative than I will say, non-inclusive ones. So it's always a matter of how you can thrive to success in every kind of environment you're working. So this is true for startups but this is also true for corporations. So it's just a matter of time. I think for the startup environment to start to be working faster with diversity and inclusion, then I will say the traditional corporate world. Many of those startups in Brazil, in these tests, are saying, "We want to work with inclusion. We want to have more equity throughout the journey. Not only in the leadership." They just need more resources. And this is something that is interesting for startup because resources is what a startup normally doesn't have. So we need to be really smart on where they put the resources and how we help them throughout this journey so that they can be as diverse as they can and therefore gain more profit, right? >> One of the things that we often say when we're talking about women in tech and here we are International Women's day is that we can't be what we can't see. And I think that's so important to have those female role models. It's also important to have male role models. Talk to me a little bit about your mentors and sponsors and how they've helped get you to where you are today. >> Okay. This is interesting, because I just had a nice conversation with some friends of mine and today we're going to launch a project which I'm very fond of which is called (foreign language) in Portuguese is leave it with them Them being a positive reinforce to women. And today we have launched the first episode, which is amazing. And we were talking about mentors. So how important are they? And we were discussing the fact that until now if we have to count the number of male mentors that we have of course it's much bigger than number of female mentors but from now on what about having more female role models for everybody in the startup ecosystems? This is not a motion in where women are becoming mentors for other women. Women can be mentors for everybody. And the fact that we are empowering more female founders and female leaders in the ecosystem is just bringing again more diversity and therefore more performance to the entire ecosystem. I had many different mentors from different worlds. I will tell a little bit more about myself. Originally I'm an architect and I've been working with building and houses and hospitals and library during the first part of my career. And that world was a male world actually and I had many great mentors that helped me out throughout my journey. When I changed my career into Service Design and starting working with systems and holistic approach for strategy, again, I found many male mentors especially in Switzerland, especially in Brazil. But when I started the startup ecosystem journey, I started meeting women that actually changed my career. So, I'm talking about investors, I'm talking about co-founders, I'm talking about leaders I'm talking about leaders in the community because we don't have to forget that we need always to rely on the personas that are working in the startup ecosystem such as accelerators, incubators, universities. And I could just tell you so many stories about my mentors, but I don't want to say here that we only need to focus on finding female mentors. We need to find the most meaningful relationship that we can and learn from them. It could be a woman, it could be a man, but we need to encourage more and more in women to have the strength and the courage to be mentored to, to speak up. >> I agree. You don't have to have mentors that are only female. I have many back in my day that were male that got me to where I am today that I just really looked up to. And that sponsored me. And that's important for women to know that you need to have your own personal board of directors, of mentors and sponsors. But I'd love to know a little bit more. You really pivoted in your career. Talk to me about how you got the courage to say, "You know what? I'm going to make a change here. I'm going to go in a different direction." >> Oh Lisa, that's such a question. Thank you so about asking me about this. So I've always have been this I will say status quo challenger. And at some point when I entered architecture I ended up making a master in complexity and using creativity to solve complex problem. So there was already a flag of me not working in architecture anymore in the future but I didn't notice at the time. So this idea of working with complexity and using creativity to work out complex problems in society brought me to start working more with design and then using design as a management approach to solve those problems. So I was pivoting but step by step from architecture to design, from design to branding, sorry, from branding to strategy. At certain point I was working with open innovation already, so was solving big challenges for big corporations. I was designing, innovation, planning, The step from here to join the startup ecosystem world is just really small. So from that moment on, I understood that business was the place where I was working and creating an understanding value proposition was actually the thing that was putting me on stage and letting me be more myself in terms of having more connections, being an agent of transformation in this ecosystem. And actually being the status quo challenger every day. So that's the way I pivoted, but it took a lot of courage and it also took a lot of curiosity. And this is something that I'm always telling the startups to have. You need to look at everything with the eyes of a tourist. You need to be curious about everything. That's also the reason why I've been changing countries. I love to learn about new cultures. I love to learn new expressions. I love to understand how other people think. And this is putting other people and other reality in the center of your attention. And this is what business is about. Building stuff that is interesting for people, for your customers, for your user. This is the center of building a value proposition >> Right you bring up several good points there. And one, the breadth of knowledge and experience that you have. There's so much value there in having that breadth, being courageous enough to be curious but you also bring up a point about some other skills like soft skills, for example, that are so valuable that you don't necessarily learn in school. For example, I think communication, relationship building, those are so important for women and men to have to really bring that breadth to what it is that they're doing so that they can do whatever it is that they want. >> Exactly. You're so, right. So many of these soft skills for women, I think have been censored throughout the years by society behaviors. Let's say negotiating or talking about finance or let's try to create something new and having the courage to say, "I'm going to fail several times before will bring my business to success." So all of these aspects that I'm trying to describe here were kind of silenced throughout century for women. And now the possibility not only to test those situations but also to speak up, to share this this knowledge, and to be mindful with other women that can help us to be courageous enough, to fail so many times that we need in order for us to be successful. This is something that I've learned from my colleagues in the startup ecosystem, both male and female founders. This is so important to fail. Failing first is important. And this is something that actually for women is contradicted, right? We are taught to be perfect. We are taught to be multitasking. We are taught to be everything that is not showing our vulnerabilities and learning from our mistakes. So these are the soft skills that I think are more important. And also sorry, I was forgetting one of the most important, which is resilience. Definitely (chuckles). >> Resilience is critical. But I always say that failure is not necessarily a bad F word and you bring up a good point. But if you think of the theme of International Women's Day this year which is #BreakTheBias where do you think we are with that in the startup entrepreneurial world? >> That's a good question, Lisa. I think we are in the middle of a big change. Many of the things that happened throughout the last two years all over the world brought society to rethink on what we want as a future. The pandemic, the killings of innocent people in the United States, in Brazil, what is happening right now in Ukraine. We are working together throughout the new future and we had to rethink to change completely the way we were controlling our daily life, when the pandemic started, right? I think we are in in the midst of a new change. In the startup ecosystem, more and more women are claiming their right to be mothers, to be workers, to be leaders, to be in the startup ecosystem stages like pitching and selling their businesses to investors or corporates, and at the same time to be part of a family and also our men. So I think we are at the point in which we are kind of looking at each other in the eyes and saying, "Okay, we need to compromise. We need to have a better quality of life. And we need to compromise in being core responsible at what we want to achieve in terms of business." And this is something that is happening in the startup ecosystem world as well. So it's impacting corporates and startup as well. So, I think it was a consequence of the last two three years of events throughout the world. But also we see more investors that are female investors and this is important because they're breaking the bias. If we have more female investors investing in more women, we can definitely have those entrepreneurs having raised more money or the same amount of money as men in less time. Now, as we are talking, it takes longer for women to raise less money than the men. So we need to break the bias in this sense. And I think it's happening already. >> We do need to break the bias and thank you for your insights and the work that you are doing to help that along the way. Clara, it was lovely to chat with you today. Thanks for sharing your background. >> Thank you again, Liz. It was wonderful to be here with you. And I just want to make a call to action for all the women and the men that are listening to us to be closer to the other gender, and to try to be an active listener of what's happening in the other gender's life. Because at the end of the day we are co-sharing this world together. Thank you very much >> Wise words, Clara. Thank you again. From Clara Bidorini, I'm Lisa Martin. You're watching Women in Tech: International Women's Day, 2022. (upbeat music)

(upbeat music) >> Lisa Martin: Hi, everyone. Welcome to The Cube's coverage of women in tech International Women's Day 2022. I'm your host, Lisa Martin. Nicole Parafita joins me next: head of communications, people and culture at AWS Latin America. Nicole, it's great to have you on the program. >> Nicole: Thank you for having me. It's a pleasure. >> Tell me a little bit about your role as head of communications, people and culture. >> Super. So my role is very, very new. I've started in this role like two months ago, so really, really new. And as you said I lead the communications, people and culture team, which is dedicated to understanding people's needs, fostering leadership development, increasing diversity and inclusion, enabling employee recognition, and of course mitigating burnout, which is something we're seeing all across the world due to working from home and all of that. So it's a huge, huge task. And of course it is aligned to Amazon's 15 leadership principle which is striving to be Earth's best employer. So huge challenge. >> Lisa: So tell me a little- so this is a brand new role as you said, just a couple of months. Was the pandemic a factor? And you mentioned burnout. I mean, that's one of the things that I think we've all been struggling with. Was that an influence in creating the role that you're in? >> So there are many many things that led to creating this organization. I think that the first one is this new leadership principle which is striving to be Earth's best employer. There's - people is our top priority and we want to work with them and for them so that we generate engaging content, training materials and we work on enabling them, right? So the first one is striving to be Earth's best employer and that alignment. The second is the priority that our VP in Latin America gives its people. It's the key differentiator that we have at AWS: our culture and it's people and how our people live the culture. And the third thing would be the fact that we're growing, we're growing so fast. We're hiring so many people in the last year so, and we need to make sure we keep this day one culture alive and strong. So yes, we need to make sure that all these people that were hired since March 2020 and never set foot in a physical office, in an AWS physical office live the leadership principles, understand them deeply and can apply all these mechanisms from our culture in their day to day basis. Those are the key three things that led to the creation of this org. >> So you mentioned the leadership principles striving to be Earth's best employer. How does that, how is that connected to International Women's Day and what you're doing in terms of really bringing diversity and equality and inclusion into AWS LATAM? >> I love this question. I think, as I said before, culture and people is our top priority. We're learning a lot. We, this new leadership principle which is striving to be Earth's best employer acknowledges that we're not the best, but that we're working very hard to become Earth's best employer. And all the efforts that we're doing are related to feedback, right? We're listening a lot to our, what our employees are saying and what the market is saying to build the best employee experience we can for everybody. And first of all, I'd say that our culture and our mission is to become, or to be, the most customer-centric company in the world. And for that, we need to be super diverse and inclusive. We need to get as many backgrounds and life experiences we can so that we can invent in the name of our customers. So building this diverse team really helps our business but also, as Jeff Bezos says, "it's the right thing to do." It's what we need to do. So what do we mean when we talk about inclusion, diversity and equity? I think it's good to define these three things, these key pillars of our culture. The first one is inclusion, which about belonging, right? It's about giving the physical- the psychological, sorry, safety to people so that they feel represented. This is super important for us. How do we make people feel comfortable where they work at? And some examples of this that I wanted to share with you. First of all, there's a mechanism that we use internally at AWS, that it's called Connections. Connections is a daily live feedback tool. So at AWS, we don't believe in having an annual survey for listening to employees, to what employees have to say. We believe in having real time feedback and this tool is that, exactly that. So every day I would turn on my computer and I would see a question from this Connection system. And one of the things that we're tracking is, the team I'm on helps me feel included at work. So we would say yes, no, or different options that we give the employees. And we would track how they feel. And according to that data we would implement different initiatives. So we're working on real time feedback from the team so that we can act fast and help the team feel better, right? The other thing that I would would say about belonging is that in AWS we have 13 affinity groups. We have 90,000 Amazonians across hundreds of chapters around the world who work towards different initiatives. One of them, for example, if it's Women at Amazon, Women at Amazon is a huge organization within Amazon with more than 80 chapters worldwide. And the objective of this affinity group is attracting, developing, and retaining women in both tech and non-tech roles across all Amazon business. As an example of the kind of initiatives that they drive, we can talk about Break the Bias. I'm not sure if you heard about this, but it's a huge initiative. It's a webinar that we will be hosting in Latin America on International Women Day on the 8th of March and we will have women sharing amazing stories. We will have, for example, Marta Ferero. Marta Ferero is the founder of a startup, a Colombian startup, called Ubits, which is like the Netflix of corporate training in her own words, among others. And we will also have recruiting specialists that will give advice on how to give and accept in our careers. So those are the kind of initiatives that we're trying to do to attract and retain and develop talent. This is more like an attracting talent thing because it's an open webinar that we have that. Yeah. >> Go ahead. >> So that's about inclusion, which is belonging and how do we make people belong to certain groups within Amazon? The second thing is about diversity which is feeling, it's about feeling represented, right? And it's not about only gender. It can be about race. It can be about ethnicity, sexual orientation, age. We want everyone to feel represented. But now, if we're talking about International Women's Day let me talk a little bit about female representation. And I am very proud to share that we finished 2021 with 18% of female representation in the leadership team in the LATAM leadership team, which means people reporting to the LATAM VP, the vice president, Jaime. And we started 2022 with 35% female representation which is a huge improvement from one year to the other. So that are the numbers, right? But it's not just about numbers. It's the fact that these women that are now part of the leadership team have been given very important tasks. And as my boss always says, "don't tell me about your strategy. Tell me about where you're putting your resources and I'll tell you what your strategy is." And I love the fact that he picked very amazing women to lead very important missions within LATAM. For example, let me just give you an example, Carolina Pina, who joined us from the public sector team is leading this massive training organization. And like the name implies, this organization focuses on generating talent at a huge scale. And this is, I don't know, one of the most long term oriented tasks that we have, and it has a huge impact on Latin America, not only AWS business, but on Latin America. It's focused on really transforming our region into something different so that people can have a better quality of life. So those are the things that really amaze me. We've been given very important tasks, like this one, to really move forward in terms of cloud transformation and the transformation of the countries we operate in, which is amazing, I think. >> It is amazing. >> The last - >> Go ahead. >> The last topic, I'm sorry, I'm speaking too much, but just to close. The last thing that I want to say is equity, which is one of the key things that we have in our culture and equity is about fairness. It's about generating or giving the same amount of opportunities to everybody. The fact that we're massively training people in Latin America is about fairness about generating the skills. And the other thing that we're doing that is super important is that we're changing our interview process so that we make sure we have diverse, a diverse set of interviewers participating in the processes, right? So that people feel represented from the moment they start their journey with AWS with the first phone screen, right? So those things for me are really transformative and talk about what we're trying to do. And of course it has an impact on gender, but it also has an impact on a broader scale from a diversity, equity and inclusion perspective which I think talks about the humanity of AWS. It's not just about the technology it's about transforming people's lives and helping Latin America, or the countries we operate in, to be better, right? For the good. >> Right. That's a great focus. Is that kind of a shift in AWS' culture in terms of really focusing on diversity? Or is that something that's really kind of been there from the beginning? >> So I think it's been here from the beginning, but now, for example, in Latin America, we're growing a lot. So we have more resources that we can allocate to really focus on this initiative. So aligning to these new leadership principal that was launched in July, or published in July, we always were very committed to diversity, equity and inclusion, but now we have more resources so that we can double down on this huge bet. And I feel very proud about that. >> Lisa: Tell me a little bit about, in the few remaining minutes that we have, I'm curious about your background. Were you always interested in tech or STEM? Was that something that you gravitated towards from when you were young, or was it something that you got into a little bit later? >> So my background is communications. I studied advertising, so no. I'm not a science or engineer-focused person, but from at early age I started working in tech companies, so I learned a lot. I had the chance to live in different countries like Mexico or the UK or the US where I always had the chance to interact with many amazing men and women that were focused on technology. So, no, I'm not a technology expert but I've always been related to people who know a lot about this. And I learned a lot in that process. And, you know, I've always seen like this, I don't how to explain, but this initiative or this will to make everyone feel comfortable where they work. I've seen this at AWS. And as I said before, we started the interview I'm eight months pregnant at this point. I'm about to take a five month leave which is a lot more than what the law gives me in Argentina, for example, where I'm located. So those are the kind of things that really make me feel comfortable where I work with and really proud of where I work with. And I want everybody to have the chance to get this type of job so that they can feel the way I feel, right? And I'm talking about men, women, people with disabilities, and many other type of affinity people, right? >> Right. It's so important to be able to have that comfort because your productivity is better, your performance is better, and ultimately the company benefits as those employees feel comfortable in the environment in which they're working and that they have the freedoms to be curious. Talk to me a little bit about some of the things, you mentioned the stat of 2020 to - 2021, excuse me, to 2022, almost doubling the number of women. >> Yep. >> Talk to me about some of the things that you're looking forward to as 2022 progresses. >> Wow, I'm the, you know, every time we have a performance review at AWS you get asked this question, what are you most excited about? Right. And this year I was excited about so many things that the list, I mean I didn't have enough characters to write about that. I think we are always trying to just confirm our beliefs at AWS. And this is the, what I like the most about working here. AWS or Amazon really values people who are curious, are always learning, and always trying to listen to other opinions. And this is key for our culture. I'm very excited about the fact that we're putting, we're turning on mechanisms to have even more feedback than we used to have, not just from customers and partners, but also from our employees. So the fact that we're having real time feedback will really make us better as an organization and always with this day-one culture in mind, which is very fast, right? We're making decisions very fast. We're very dynamic, we're learning on the go. We fail, sometimes. We fail, but we learn very fast. We fail fast. We used to say that we learn, we fail fast. And failure is part of our culture of innovation. So we're learning, we're failing, at some point we're implementing changes. And it's like a very interesting flywheel, right. Of growth. And it's very fast. So my job is very dynamic and I'm very excited about this. I'm hiring a team. I have a team of four people. I already hired two people and I need one more. So I'm very excited about that. I'm very excited to see what our employees are capable of. I mean, they're always inventing on behalf of our customers and partners. And it's always amazing to see the results from the year end, right. You get to tell stories from customers and partners that you never imagined you were going to tell. So I'm very excited about all those things. >> Lisa: Excellent. Well, good luck with the baby. Thank you so much for sharing. What your role is doing and how it's really helping to drive that diversity and inclusion and equity within Amazon. It's such an important cultural element and it's exciting to hear this strategic focus that AWS has. Nicole, we appreciate your time. >> Thank you very much, Lisa, for having me. >> My pleasure. For Nicole Parafita, I'm Lisa Martin. You're watching women in tech International Women's Day, 2022. (upbeat music)

(gentle music) >> High profile cyber attacks like the SolarWinds hack, the JBS meat and the Florida municipality breach, have heightened awareness of how exposed, critical infrastructure has become. Because the pandemic has shifted employees to remote modes of work, hackers now have a much easier target to fish for credentials and exploit less secure home networks. Take the recent Log4j vulnerability, that's yet another example, of how hackers can take advantage of weak links in the chain. Now data storage companies have an important role to play in fighting cyber crime. Ultimately, they provide the equivalent of a bank vault if you will, and are responsible for storing and protecting the data that cyber criminals are targeting to steal or encrypt, in an effort to hold companies hostage, in a ransomware attack. Now in an effort to help customers understand how to protect themselves from such vulnerabilities, and how one storage company is addressing these challenges, the Cube is hosting this special presentation InfiniGuard Cyber Resilience: New Cybercrime Solutions. And we're going to speak with Eric Herzog, who's the Chief Marketing Officer of Infinidat, and then we'll bring in Stan Wysocki who is the president of Mark III Systems who is either an expert in IT infrastructure and artificial intelligence. First, let me welcome Eric Herzog back to the Cube, hello, Eric. >> Great, Dave, thank you very much, always love talking to you and the Cube, about leading edge technology solutions for end users. >> Alright let's do it. So, first we want to address the transformation and big business progress of Infinidat. New CEO, he's injected new management, new head of marketing obviously, Phil Bullinger is really been focused on accelerating the company's original vision, and doing so, Eric, in the typically unconventional style of Infinidat, you just put out a press release, capping 2021, can you set the stage for us, and give us the business update? >> Sure, so of course we summarized our 2021 results. What a very, very strong year. What a very, very strong year. We increased our bookings over 40% year to year. Even in Q4, we increased our bookings over 68%. And over 25% of the fortune 50 use an Infinidat solution, either our InfiniBox, or InfiniBox SSA, all flash array, or our Infiniguard, which is the focus of the launch we're doing today, on February 9th. >> Yeah, so I always said that Infinidat is one of the best kept secrets in the storage business. So let's talk about that hard news, what you launched on February 9th, and why it's important. >> Well, what we've done is we've got a high end enterprise purpose-built backup appliance, the InfiniGuard. We made some substantial advances in that. The key is focused on cyber resilience with what we call our infinisafe technology. Infinisafe incorporates a number of subsets, of cyber resilience from immutable snapshots, to logical air gapping, to fenced isolated networks, to almost instantaneous recovery for your backup data sets. In addition, we also dramatically improved the performance of the backup and recovery, which means, for example, if a backup window was taking three hours, now the backup window on that primary backup dataset could take only an hour and a half, which of course, as we all know backup dramatically impacts the performance of your primary applications, your primary servers, and your primary storage. So we've done both the cyber resilience aspect and then, on modern data protection, making sure that the backup and recovery are faster, for a traditional backup workload. >> So tell us a little bit more about Infinisafe, and specifically, Eric I'm interested in how it's different from other solutions, don't make me a liar, I had said, you guys always kind of take nonconventional approaches so tell us, add a little color to Infinisafe and how is it really unique from competitors? >> Sure, well Infinisafe incorporates as I mentioned, several different aspects. First of all, the immutable snapshots. So immutable snapshots can not be deleted, they cannot be altered, you cannot accelerate the rate, you can set the rate of immutable stuff, do I want to do it once a day? Do I want to do it twice a day? And obviously if a hacker could get in, you could accelerate that. Our immutable snaps are physically separated from the management schema. So the inside of an Infiniguard, we have what we call a data dedupe appliance, and that data dedupe engine, it goes ahead and it applies data reduction technology, to that back up data set. But we've divorced the immutable snapshots from the management of what we now call a DDE. So the DDE has kind of access of giving you that gap, that logical gap between the management schema of a DDE, and of course the immutable snapshot. We also combine that with this air gap technology, you've got the immutability and the air gap, which is local in that instance, but we also can do it remotely. So we can replicate from one Infiniguard in data center A, to a different Infiniguard in data center B. You then can configure that backup data set with the same immutable snapshot, and the same length, one day, half a day, six hours, whatever you choose, and then of course it'll have that same capability. The third thing we've done is very unique. We have a fenced isolated network to perform forensics. So, if the Cube has a cyber or malware attack, you need to make sure that once you've cleaned it up, off the primary storage, the primary servers, that you recover, a known good data set. So we set up this isolated fence network in which to perform that forensic analysis, to give you the appropriate good recover point. However, unlike many of our competitors, we can do it with a single InfiniBox. Some of our competitors, right on their websites say, you need two of their purpose-built backup appliances, to do cyber resilience. Meaning, twice the CapEx and twice the OpEx, which we can do with a single Infiniguard solution. And then lastly is our near instantaneous recovery. As you know, we're recovering backup data sets. We can make between 15 and 30 minutes time, the backup data set fully accessible to the backup admin or the storage admin to use their Commvault, their Veeam, their Veritas, their IBM Spectrum Protect, or whatever their backup software is, to do recovery from the InfiniGuard box, back to the primary storage using of course the backup software that they created the original dataset with. That is very unique. When you look out in the industry and look at, whether it be purpose-built backup competitors, or whether you look at primary storage competitors, almost no one talks about the speed of their recovery, and the one or two that do, talk about recovering the data set. We recover the entire environment. We are ready to go, and the backup admin, if they were, for example, Commvault, Veeam or Veritas, they could immediately start the backup, as soon as we did our recovery, which again, takes between 15 and 30 minutes, independent of the data set size. That could be 50 terabytes, it could be a petabyte, it could be two petabytes. And even two petabytes of data can be available in 15 to 30 minutes. And then of course, the backup admin can restore from that backup dataset. Very powerful and very unique in those aspects. >> Whilst the reason why this is so important is like I said, it's like the bank vault, because hackers are going to go after that backup corpus that's where the gold is, that's where all the data is. So this all really sounds good. But there's more than Infinisafe in this launch. What else should we know? >> Well, the other thing we've done is dramatically improved the performance of the purpose-built backup plants at the core. So for example, the last time we publicly announced our numbers, we were at 74 terabytes an hour, now we're 180 terabytes an hour. So of course, as we all know, when you do a backup, it impacts the performance of the primary applications, the primary servers and the primary storage. So if that backup window was taking three hours, now that we've more than doubled the performance, you could be up to 50% better. So a three hour backup window, if that's what the dataset took to be backed up, now we can get that down to an hour and a half or even faster. So that of course minimizes the impact on primary storage, primary applications, and of course your primary storage, making it much, much more efficient, from a backup perspective, and of course less impact on the primary applications, the primary servers, and primary storage. >> So I've talked to a number of Infinidat customers, they're very loyal and kind of passionate. So I wonder if you could kind of put that perspective on this discussion. The impact that InfiniGuard, this announcement, that's going to have for your customers, paint a picture as to how it's going to change their business. >> Sure, so let me give you an example. One of our customers is a cloud service buyer, in North America, they focus only on healthcare. So here's a couple of key benefits that they got. First of all, they use our integration with two different backup vendors. They don't have one, they have two. So we're tightly integrated with our backup software partners. They got a 40% cost savings on CapEX, compared to the previous vendor that they had. And, they used to be able to do 30,000 backup per day, now they can do 90,000 backup a day. And by the way, that's all with the previous version of InfiniGuard, not the version we just announced on the 9th. One of our other customers, which is in AMEA and they happened to be an energy company, they were using purpose-built backup from the other vendor, and they had 14 of them, seven in data center one, and seven in data center two. With InfiniGuard, they've got one in data center one, and one in data center two. So 14 purpose-built backup appliances consolidated down into two. And on top of that, those purpose-built backup appliances from the other vendor actually had a couple recovery failures, where they were not able to recover the data. They've been installed for a year now, they've had zero recovers, zero recovery failures, whereas the previous vendor had some. And lastly, let's talk about a large global fortune financial services. So, one of the biggest in the industry, their cost savings from their previous vendor was 46%. In addition, when you look at their cyber resilience design, they were using one of those vendors that probably talks about needing two system products to do their cyber resiliency. They again were able to take those two systems out, and use one InfiniGuard solution. Again, reducing both their capital expenditure, two going to one. And then the operational expenditure, they only have to manage one InfiniGuard versus two of the other guys appliances. Those are just three examples all over the world. One in cloud service providing, one in the energy space, and one a global fortune 500 financial services company. Just some real world examples. And all those by the way, Dave, were before the enhancements of Infinisafe, and before the additional performance we've added in the launch of InfiniGuard on February 9th. >> So like I'm just kind of sketching out the business case, you know, put my CFO hat on. So you're lowering costs cause you're consolidating, so that means I need less hardware and software. But also there's probably labor costs associated with that. If I could do it faster with less resources, I got less stuff to manage. You're accelerating the backup time, so that frees up resources that I can apply elsewhere, recovery, you know, is really important. So I'm inferring faster recovery, all this lowers my risk, and then I can sort of calculate the probability of having data loss, and then what that means to my business. Am I getting that right? >> Yeah, yeah. And in fact, the other impact is on your primary service and your primary storage. If the backup window shrinks, then you're not slowing down that SAP app, that Oracle app, you know, that SQL app, whatever you're running, whether that be the financials, whether that be your logistics, whether it be your manufacturing system, every time you turn on that backup, to do that backup, that backup window slows you down. So cutting that in half has an impact on the real-world application side, which obviously most storage guys, you know, it's hard for us to quantify. But you are taking the impact of backup, and basically reducing it, if you will shrinking the backup window, so their primary applications don't get hammered as much by the backup while they're still trying to run that SAP, that Oracle or that SQL workload. >> And you're not a backup software vendor, so I have optionality there. I can pretty much choose all the popular, you know. >> Absolutely, so Veeam, Veritas, Commvault, IBM Spectrum Protect, all the majors. And in fact, one of the players I mentioned, as you were talking about the end-users, they use two different backup packages, two of 'em. So, two of the major vendors that I named, we work with them just within one account. So, we're very flexible, the user picks what they want from a backup software perspective, and we can work with anything. So, whatever they want to use, is fine with us. We integrate with all of them, we have integration, for example, also with VMware, for vVols and other aspects in container integration, so you know, whether it be our purpose-built backup appliance, InfiniGuard, or what we do with the InfiniBox, we always make sure we integrate with the surrounding environment. 'Cause storage is not an island, storage needs to exist in your data center, or your hybrid cloud data center, or what you're doing for containers. So we make sure we have integration with our InfiniBox, our InfiniBox SSA, all flash. And of course the product we're enhancing today, the InfiniGuard. >> Yeah, integration is super important in the enterprise. Enterprises want solutions, they're busy. (laughs) They don't have unlimited budget to go, you know, plugging stuff together. So, okay Eric, we got to leave it there. Thank you so much. >> Great, thank you very much Dave. Always love talking to the Cube. >> Okay, in a moment Stan Wysocki is coming in. He's the president of Mark III Systems. He's going to join us for a drill down on how InfiniGuard is impacting customers. You're watching the Cube, your global leader, in enterprise tech coverage. (gentle music)

(gentle music) >> High profile cyber attacks like the SolarWinds hack, the JBS meat and the Florida municipality breach, have heightened awareness of how exposed, critical infrastructure has become. Because the pandemic has shifted employees to remote modes of work, hackers now have a much easier target to fish for credentials and exploit less secure home networks. Take the recent Log4j vulnerability, that's yet another example, of how hackers can take advantage of weak links in the chain. Now data storage companies have an important role to play in fighting cyber crime. Ultimately, they provide the equivalent of a bank vault if you will, and are responsible for storing and protecting the data that cyber criminals are targeting to steal or encrypt, in an effort to hold companies hostage, in a ransomware attack. Now in an effort to help customers understand how to protect themselves from such vulnerabilities, and how one storage company is addressing these challenges, the Cube is hosting this special presentation InfiniGuard Cyber Resilience: New Cybercrime Solutions. And we're going to speak with Eric Herzog, who's the Chief Marketing Officer of Infinidat, and then we'll bring in Stan Wysocki who is the president of Mark III Systems who is either an expert in IT infrastructure and artificial intelligence. First, let me welcome Eric Herzog back to the Cube, hello, Eric. >> Great, Dave, thank you very much, always love talking to you and the Cube, about leading edge technology solutions for end users. >> Alright let's do it. So, first we want to address the transformation and big business progress of Infinidat. New CEO, he's injected new management, new head of marketing obviously, Phil Bullinger is really been focused on accelerating the company's original vision, and doing so, Eric, in the typically unconventional style of Infinidat, you just put out a press release, capping 2021, can you set the stage for us, and give us the business update? >> Sure, so of course we summarized our 2021 results. What a very, very strong year. What a very, very strong year. We increased our bookings over 40% year to year. Even in Q4, we increased our bookings over 68%. And over 25% of the fortune 50 use an Infinidat solution, either our InfiniBox, or InfiniBox SSA, all flash array, or our Infiniguard, which is the focus of the launch we're doing today, on February 9th. >> Yeah, so I always said that Infinidat is one of the best kept secrets in the storage business. So let's talk about that hard news, what you launched on February 9th, and why it's important. >> Well, what we've done is we've got a high end enterprise purpose-built backup appliance, the InfiniGuard. We made some substantial advances in that. The key is focused on cyber resilience with what we call our infinisafe technology. Infinisafe incorporates a number of subsets, of cyber resilience from immutable snapshots, to logical air gapping, to fenced isolated networks, to almost instantaneous recovery for your backup data sets. In addition, we also dramatically improved the performance of the backup and recovery, which means, for example, if a backup window was taking three hours, now the backup window on that primary backup dataset could take only an hour and a half, which of course, as we all know backup dramatically impacts the performance of your primary applications, your primary servers, and your primary storage. So we've done both the cyber resilience aspect and then, on modern data protection, making sure that the backup and recovery are faster, for a traditional backup workload. >> So tell us a little bit more about Infinisafe, and specifically, Eric I'm interested in how it's different from other solutions, don't make me a liar, I had said, you guys always kind of take nonconventional approaches so tell us, add a little color to Infinisafe and how is it really unique from competitors? >> Sure, well Infinisafe incorporates as I mentioned, several different aspects. First of all, the immutable snapshots. So immutable snapshots can not be deleted, they cannot be altered, you cannot accelerate the rate, you can set the rate of immutable stuff, do I want to do it once a day? Do I want to do it twice a day? And obviously if a hacker could get in, you could accelerate that. Our immutable snaps are physically separated from the management schema. So the inside of an Infiniguard, we have what we call a data dedupe appliance, and that data dedupe engine, it goes ahead and it applies data reduction technology, to that back up data set. But we've divorced the immutable snapshots from the management of what we now call a DDE. So the DDE has kind of access of giving you that gap, that logical gap between the management schema of a DDE, and of course the immutable snapshot. We also combine that with this air gap technology, you've got the immutability and the air gap, which is local in that instance, but we also can do it remotely. So we can replicate from one Infiniguard in data center A, to a different Infiniguard in data center B. You then can configure that backup data set with the same immutable snapshot, and the same length, one day, half a day, six hours, whatever you choose, and then of course it'll have that same capability. The third thing we've done is very unique. We have a fenced isolated network to perform forensics. So, if the Cube has a cyber or malware attack, you need to make sure that once you've cleaned it up, off the primary storage, the primary servers, that you recover, a known good data set. So we set up this isolated fence network in which to perform that forensic analysis, to give you the appropriate good recover point. However, unlike many of our competitors, we can do it with a single InfiniBox. Some of our competitors, right on their websites say, you need two of their purpose-built backup appliances, to do cyber resilience. Meaning, twice the CapEx and twice the OpEx, which we can do with a single Infiniguard solution. And then lastly is our near instantaneous recovery. As you know, we're recovering backup data sets. We can make between 15 and 30 minutes time, the backup data set fully accessible to the backup admin or the storage admin to use their Commvault, their Veeam, their Veritas, their IBM Spectrum Protect, or whatever their backup software is, to do recovery from the InfiniGuard box, back to the primary storage using of course the backup software that they created the original dataset with. That is very unique. When you look out in the industry and look at, whether it be purpose-built backup competitors, or whether you look at primary storage competitors, almost no one talks about the speed of their recovery, and the one or two that do, talk about recovering the data set. We recover the entire environment. We are ready to go, and the backup admin, if they were, for example, Commvault, Veeam or Veritas, they could immediately start the backup, as soon as we did our recovery, which again, takes between 15 and 30 minutes, independent of the data set size. That could be 50 terabytes, it could be a petabyte, it could be two petabytes. And even two petabytes of data can be available in 15 to 30 minutes. And then of course, the backup admin can restore from that backup dataset. Very powerful and very unique in those aspects. >> Whilst the reason why this is so important is like I said, it's like the bank vault, because hackers are going to go after that backup corpus that's where the gold is, that's where all the data is. So this all really sounds good. But there's more than Infinisafe in this launch. What else should we know? >> Well, the other thing we've done is dramatically improved the performance of the purpose-built backup plants at the core. So for example, the last time we publicly announced our numbers, we were at 74 terabytes an hour, now we're 180 terabytes an hour. So of course, as we all know, when you do a backup, it impacts the performance of the primary applications, the primary servers and the primary storage. So if that backup window was taking three hours, now that we've more than doubled the performance, you could be up to 50% better. So a three hour backup window, if that's what the dataset took to be backed up, now we can get that down to an hour and a half or even faster. So that of course minimizes the impact on primary storage, primary applications, and of course your primary storage, making it much, much more efficient, from a backup perspective, and of course less impact on the primary applications, the primary servers, and primary storage. >> So I've talked to a number of Infinidat customers, they're very loyal and kind of passionate. So I wonder if you could kind of put that perspective on this discussion. The impact that InfiniGuard, this announcement, that's going to have for your customers, paint a picture as to how it's going to change their business. >> Sure, so let me give you an example. One of our customers is a cloud service buyer, in North America, they focus only on healthcare. So here's a couple of key benefits that they got. First of all, they use our integration with two different backup vendors. They don't have one, they have two. So we're tightly integrated with our backup software partners. They got a 40% cost savings on CapEX, compared to the previous vendor that they had. And, they used to be able to do 30,000 backup per day, now they can do 90,000 backup a day. And by the way, that's all with the previous version of InfiniGuard, not the version we just announced on the 9th. One of our other customers, which is in AMEA and they happened to be an energy company, they were using purpose-built backup from the other vendor, and they had 14 of them, seven in data center one, and seven in data center two. With InfiniGuard, they've got one in data center one, and one in data center two. So 14 purpose-built backup appliances consolidated down into two. And on top of that, those purpose-built backup appliances from the other vendor actually had a couple recovery failures, where they were not able to recover the data. They've been installed for a year now, they've had zero recovers, zero recovery failures, whereas the previous vendor had some. And lastly, let's talk about a large global fortune financial services. So, one of the biggest in the industry, their cost savings from their previous vendor was 46%. In addition, when you look at their cyber resilience design, they were using one of those vendors that probably talks about needing two system products to do their cyber resiliency. They again were able to take those two systems out, and use one InfiniGuard solution. Again, reducing both their capital expenditure, two going to one. And then the operational expenditure, they only have to manage one InfiniGuard versus two of the other guys appliances. Those are just three examples all over the world. One in cloud service providing, one in the energy space, and one a global fortune 500 financial services company. Just some real world examples. And all those by the way, Dave, were before the enhancements of Infinisafe, and before the additional performance we've added in the launch of InfiniGuard on February 9th. >> So like I'm just kind of sketching out the business case, you know, put my CFO hat on. So you're lowering costs cause you're consolidating, so that means I need less hardware and software. But also there's probably labor costs associated with that. If I could do it faster with less resources, I got less stuff to manage. You're accelerating the backup time, so that frees up resources that I can apply elsewhere, recovery, you know, is really important. So I'm inferring faster recovery, all this lowers my risk, and then I can sort of calculate the probability of having data loss, and then what that means to my business. Am I getting that right? >> Yeah, yeah. And in fact, the other impact is on your primary service and your primary storage. If the backup window shrinks, then you're not slowing down that SAP app, that Oracle app, you know, that SQL app, whatever you're running, whether that be the financials, whether that be your logistics, whether it be your manufacturing system, every time you turn on that backup, to do that backup, that backup window slows you down. So cutting that in half has an impact on the real-world application side, which obviously most storage guys, you know, it's hard for us to quantify. But you are taking the impact of backup, and basically reducing it, if you will shrinking the backup window, so their primary applications don't get hammered as much by the backup while they're still trying to run that SAP, that Oracle or that SQL workload. >> And you're not a backup software vendor, so I have optionality there. I can pretty much choose all the popular, you know. >> Absolutely, so Veeam, Veritas, Commvault, IBM Spectrum Protect, all the majors. And in fact, one of the players I mentioned, as you were talking about the end-users, they use two different backup packages, two of 'em. So, two of the major vendors that I named, we work with them just within one account. So, we're very flexible, the user picks what they want from a backup software perspective, and we can work with anything. So, whatever they want to use, is fine with us. We integrate with all of them, we have integration, for example, also with VMware, for vVols and other aspects in container integration, so you know, whether it be our purpose-built backup appliance, InfiniGuard, or what we do with the InfiniBox, we always make sure we integrate with the surrounding environment. 'Cause storage is not an island, storage needs to exist in your data center, or your hybrid cloud data center, or what you're doing for containers. So we make sure we have integration with our InfiniBox, our InfiniBox SSA, all flash. And of course the product we're enhancing today, the InfiniGuard. >> Yeah, integration is super important in the enterprise. Enterprises want solutions, they're busy. (laughs) They don't have unlimited budget to go, you know, plugging stuff together. So, okay Eric, we got to leave it there. Thank you so much. >> Great, thank you very much Dave. Always love talking to the Cube. >> Okay, in a moment Stan Wysocki is coming in. He's the president of Mark III Systems. He's going to join us for a drill down on how InfiniGuard is impacting customers. You're watching the Cube, your global leader, in enterprise tech coverage. (gentle music)