>>Hello everyone. My name is Savannah Peterson, coming to you from the Cube Studios in Palo Alto, California. We're gonna be talking about super computing an event coming up in Dallas this November. I'm joined by the infamous John Furrier. John, thank you for joining me today. >>Great to see you. You look great. >>Thank you. You know, I don't know if anyone's checked out the conference colors for for supercomputing, but I happen to match the accent pink and you are rocking their blue. I got the so on >>There it is. >>We don't always tie our fashion to the tech ladies and gentlemen, but we're, we're a new crew here at, at the Cube and I think it should be a thing that we, that we do moving forward. So John, you are a veteran and I'm a newbie to Supercomputing. It'll be my first time in Dallas. What can I expect? >>Basically it's a hardware nerd fest, basically of the top >>Minds. So it's like ces, >>It's like CES for like, like hardware. It's like really the coolest show if you're into like high performance computing, I mean game changing kind of, you know, physics, laws of physics and hardware. This is the show. I mean this is like the confluence of it's, it's really old. It started when I graduated college, 1988. And back then it was servers, you know, super computing was a concept. It was usually a box and it was hardware, big machine. And it would crank out calculations, simulations and, and you know, you were limited to the processor and all the, the systems components, just the architecture system software, I mean it was technical, it was, it was, it was hardware, it was fun. Very cool back then. But you know, servers got bigger and you got grid computing, you got clusters and then it be really became high performance computing concept. But that's now multiple disciplines, hence it's been around for a while. It's evergreen in the sense it's always changing, attracting talent, students, mentors, scholarships. It's kind of big funding and big companies are behind it. Wl, look, Packard Enterprise, Dell computing startups and hardware matters more than ever. You look at the cloud, what Amazon and, and the cloud hyper skills, they're building the fastest chips down at the root level hardware's back. And I think this show's gonna show a lot of that. >>There isn't the cloud without hardware to support it. So I think it's important that we're all headed here. You, you touched on the evolution there from super computing in the beginning and complex calculations and processing to what we're now calling high performance computing. Can you go a little bit deeper? What is, what does that mean, What does that cover? >>Well, I mean high high performance computing and now is a range of different things. So the super computing needs to be like a thing now. You got clusters and grids that's distributed, you got a backbone, it's well architected and there's a lot involved. This network and security, there's system software. So now it's multiple disciplines in high performance computing and you can do a lot more. And now with cloud computing you can do simulations, say drug research or drug testing. You have, you can do all kinds of cal genome sequencing. I mean the, the, the ability to actually use compute right now is so awesome. The field's got, you know, is rebooting itself in real time, you know, pun intended. So it's like really, it's really good thing. More compute makes things go faster, especially with more data. So high encapsulates all the, the engineering behind it. A lot of robotics coming in the future. All this is gonna be about the edge. You're seeing a lot more hardware making noise around things that are new use cases. You know, your Apple watch that's, you know, very high functionality to a cell tower. Cars again, high performance computing hits all these new use cases. >>It yeah, it absolutely does. I mean high performance computing touches pretty much every aspect of our lives in some capacity at this point and including how we drive our cars to, to get to the studio here in Palo Alto. Do you think that we're entering an era when all of this is about to scale exponentially versus some of the linear growth that we've seen in the space due to the frustration of some of us in the hardware world the last five to 10 years? >>Well, it's a good question. I think everyone has, has seen Moore's law, right? They've seen, you know, that's been, been well documented. I think the world's changing. You're starting to see the trend of more hardware that's specialized like DPU are now out there. You got GPUs, you're seeing the, you know, Bolton hardware, accelerators, you got chi layer software abstraction. So essentially it's, it's a software industry that's in impacted the hardware. So hardware really is software too and it's a lot more software in there. Again, system software's a lot different. So it's, I think it's, it's boomerang back up. I think there's an inflection point because if you look at cyber security and physical devices, they all kind of play in this world where they need compute at the edge. Edge is gonna be a big use case. You can see Dell Technologies there. I think they have a really big opportunity to sell more hardware. H WL Packard Enterprise, others, these are old school >>Box companies. >>So I think the distributed nature of cloud and hybrid and multi-cloud coming on earth and in space means a lot more high performance computing will be sold and and implemented. So that's my take on it. I just think I'm very bullish on this space. >>Ah, yes. And you know me, I get really personally excited about the edge. So I can't wait to see what's in store. Thinking about the variety of vendors and companies, I know we see some of the biggest players in the space. Who are you most excited to see in Dallas coming up in November? >>You know, HP enter, you look back on enterprise has always been informally, HP huge on hpc, Dell and hpe. This is their bread and butter. They've been making servers from many computers to Intel based servers now to arm-based servers and and building their own stuff. So you're gonna start to see a lot more of those players kind of transforming. We're seeing both Dell and HPE transforming and you're gonna see a lot of chip companies there. I'm sure you're gonna see a lot more younger talent, a lot, a lot of young talent are coming, like I said, robotics and the new physical world we're living in is software and IP connected. So it's not like the old school operational technology systems. You have, you know, IP enabled devices that opens up all kinds of new challenges around security vulnerabilities and also capabilities. So it's, I think it's gonna be a lot younger crowd I think than we usually see this year. And you seeing a lot of students, and again universities participating. >>Yeah, I noticed that they have a student competition that's a, a big part of the event. I'm curious when you say younger, are you expecting to see new startups and some interesting players in the space that maybe we haven't heard of before? >>I think we might see more use cases that are different. When I say younger, I don't mean so much on the Democratic but young, younger i new ideas, right? So I think you're gonna see a lot of smart people coming in that might not have the, you know, the, the lens from when it started in 1988 and remember 1988 to now so much has changed. In fact we just did AEG a segment on the cube called does hardware matter because for many, many years, over the past decades, like hardware doesn't matter, it's all about the cloud and we're not a box company. Boxes are coming back. So you know, that's gonna be music for for into the years of Dell Technologies HPE the world. But like hardware does matter and this, you're starting to see that here. So I think you'll see a lot a younger thinking, a little bit different thinking. You're gonna start to see more conf confluence of like machine learning. You're gonna see security and again, I mentioned space. These are areas where you're starting to see where hardware and high performance is gonna be part of all the new systems. And so it's just gonna be industrial to i o is gonna be a big part too. >>Yeah, absolutely. I, I was thinking about some of these use cases, I don't know if you heard about the new drones they're sending up into hurricanes, but it takes literally what a, what an edge use case, how durable it has to be and the rapid processing that has to happen as a result of the software. So many exciting things we could dive down the rabbit hole with. What can folks expect to see here on the cube during supercomputing? >>Well we're gonna talk to a lot of the leaders on the cube from this community, mostly from the practitioner's side, expert side. We're gonna have, we're gonna hear from Dell Technologies, Hewlett Packer Enterprise and a lot of other executives who are investing wanna find out what they're investing in, how it ties into the cloud. Cuz the cloud has become a great environment for multi-cloud with more grid-like capability and what's the future? Where's the hardware going, what's the evolution of the components? How is it being designed? And then how does it fit into the overall software open source market that's booming right now that cloud technology has been doing. So I wanna, we wanna try to connect the dots on the cube. >>Great. So we have a very easy task ahead of us. Hopefully everyone will enjoy the content and the guests that we leaving to, to our table here from from the show floor. When we think about, do you think there's gonna be any trends that we've seen in the past that might not be there? Has anything phased out of the super computing world? You're someone who's been around this game for a while? >>Yeah, that's a good question. I think the game is still the same but the players might shift a little bit. So for example, a lot more with the supply chain challenges you might see that impact. We're gonna watch that very closely to find out what components are gonna be in what. But I'm thinking more about system architecture because the use case is interesting. You know, I was talking to Dell folks about this, you know they have standard machines but then they have use cases for how do you put the equivalent of a data center next to say a mobile cell tower because now you have the capability for wireless and 5g. You gotta put the data center like CAPA speed functionality and capacity for compute at these edges in a smaller form factor. How do you do that? How do you handle all the IO and that's gonna be all these, all these things are nerd again nerdy conversations but they're gonna be very relevant. So I like the new use cases of power more compute in places that they've never been before. So I think that to me is where the exciting part is. Like okay, who's got the, who's really got the real deal going on here? That's something be the fun part. >>I think it allows for a new era in innovation and I don't say that lightly, but when we can put processing power literally anywhere, it certainly thrills the minds of hardware nerds. Like me, my I'm OG hardware, I know you are too, I won't reveal your roots, but I got my, my start in in hardware product design back in the day. So I can't wait >>To, well you then, you know, you know hardware, when you talk about processing power and memory, you can never have enough compute and memory. It's like, it's like the internet bandwidth. You can't never have enough bandwidth. Bandwidth, right? Network power, compute power, you know, bring it on, you know, >>Even battery life, simple things like that when it comes to hardware, especially when we're talking about being on the edge. It's just like our cell phones. Our cell phones are an edge device >>And we get, well when you combine cloud on premises hybrid and then multi-cloud and edge, you now have the ability to get compute at capabilities that were never fathom in the past. And most of the creativity is limited to the hardware capability and now that's gonna be unleashed. I think a lot of creativity. That's again back to the use cases and yes, again, you're gonna start to see more industrial stuff come out edge and I, I, I love the edge. I think this is a great use case for the edge. >>Me too. A absolutely so bold claim. I don't know if you're ready to, to draw a line in the sand. Are we on the precipice of a hardware renaissance? >>Definitely no doubt about it. When we, when we did the does hardware matter segment, it was really kind of to test, you know, everyone's talking about the cloud, but cloud also runs hardware. You look at what AWS is doing, for instance, all the innovation, it's at robotics, it's at that at the physical level, pro, pro, you know you got physics, I mean they're working on so low level engineering and the speed difference. I think from a workload standpoint, whoever can get the best out of the physics and the materials will have a winning formula. Cause you can have a lot more processing specialized processors. That's a new system architecture. And so to me the hype, definitely the HPC high press computing fits perfectly into that construct because now you got more power so that software can be more capable. And I think at the end of the day, nobody wants to write a app on our workload to run on on bad hardware, not have enough compute. >>Amen to that. On that note, John, how can people get in touch with you and us here on the show in anticipation of supercomputing? >>Of course hit the cube handle at the cube at Furrier, my last name F U R R I E R. And of course my dms are always open for scoops and story ideas. And go to silicon angle.com and the cube.net. >>Fantastic. John, I look forward to joining you in Dallas and thank you for being here with me today. And thank you all for joining us for this super computing preview. My name is Savannah Peterson and we're here on the cube live. Well not live prerecorded from Palo Alto. And look forward to seeing you for some high performance computing excitement soon.

>>Yeah. Welcome back to a W s reinvent 20 twenty-one. This is the live. In addition, the last year, of course, it was virtual. This is probably the most important hybrid event of the year. Over 20,000 people. We have two sets here at the Cube. My name is David. I'm really excited to have Caroline see more on the vice president of product marketing at Serato, which is now an H p e company. And Daniel, who is the director of worldwide partner Essays at A W s. Folks, welcome to the good to see you. >>Yeah, great to be here. So, >>Caroline, you got some news. Why don't we start their hard news? We always like to start with that. >>First of all, I think I just like to talk a little bit about the acquisition because it has been acquired by H. P. And in September, we announced, um, disaster recovery as a service is part of the Green Lake platform. And so that's really exciting. Both from, uh, customers as well is also H B customers. But the innovation continues here at a W s reinvent, we are announcing a new solution 02 in cloud, which is a disaster recovery for Amazon. Easy to, um, and if I think about the value that it brings to the customers, it's delivering orchestrated disaster. Recovery is delivering that simplicity at scale and scale is very important aspect because it will deliver that from tends to thousands of work clothes and as well, it's helping organizations to drive more operational efficiencies around their processes. So that's sort of a nutshell of the news. The cloud for a W s >>great. Thank you for that. So I wanna ask you, obviously, in lock down, people look to the cloud. Uh, and you know, data protection used to be just back up, and then people realize that recovery is important, but it used to be a bolt on an afterthought. You sort of launch the application of the service. And so we got to protect this thing and whatever and throw it on there that that's unacceptable. Today, if you're not going to run your digital business with a bolt on, So what? Our customers telling you in terms of what they want to see from their data protection portfolios and how are you seeing the ecosystem and a W s helping them to integrate that >>absolutely well to your point, the pandemic has absolutely accelerated a lot of businesses movement into the cloud. So companies that hadn't formerly thought about using cloud technologies are now doing that. And for them, in order to have a very simple and easy and scalable data protection solution, is critical for them to feel comfortable into moving into a W s. And so that's what we're seeing from a lot of customers. Um, and of course, back to your point about recovery with the challenges around ransomware, Um, that is definitely an area where a lot of companies have just done their back up. But they're also testing it and making sure that it's something that they know that they can rely on, um, as they moved there, workloads into the club. >>And speaking of ransomware, I mean, it's just front and center. Anybody can be a ransomware. Today they go in the dark web by ransomware service. They put a stick into a server and then bad things happen. Hopefully that that individual ends up in handcuffs, but not always so when we've seen Ransom's getting paid $40 million ransom's multi-million dollar. And we all know about the fact that our front and center So what are you seeing in terms of the customer base? How How h b n z two helping and where does a W s fit? Maybe you could start off Caroline. >>Great question, because I think from the perspective, we look at it from the need for recovery. Uh, strategy as part of your overarching, um, security and prevention is is one aspect that you always need two prevention. But to us, it's a matter of not if you're going to be attacked. It's when and when that gets through your firewall. And so you need to be able to have a recovery strategy in place that allows you to recover in minutes to set to within seconds of when that when an attack actually happens. And, um, I can give a case in, for example, for there's a company 10 Carter Protective fabric, textiles manufacturing company, MULTI-MILLION business. And they suffered to to a tax crypto attack first time, and they were using more traditional, um, back up to take. And it took him two weeks to recover having been attacked, and they suffered significant data loss, and then they deployed photo photo. Um, unfortunately, a little while later, they were attacked a second time with more sophisticated case of So it continues. Um, but this time the recovery was very different. What happened was that they were able to recover within minutes and they had seconds of data loss. And that is because of r c d p technology C D. P. Being continuous data protection. And that is with our replication and a unique journaling capability that allows you to, uh, set up the different checkpoint. So you have thousands of recovery points and you can recover to a specific recovery point with within seconds of that attack. Very, very powerful. >>I wanna ask you a question and what Caroline was just talking about with the classic metrics in this business r P O R T r P o recovery point objective. Always say, how much data do you want to lose? And people say none. Okay, how much? What kind of budget do you have? So that's always been the trade-off, although, as you mentioned, it's getting a little bit more cost-effective and then recovery time objective. How long does it take you to get back up. Absolutely. So so. Those are some of the concepts that you were talking about. I wanna ask you, Daniel, it feels like an Caroline. You feel like data protection is now becoming. It's certainly a tight adjacent to overall security. It's not security per se sick of it, so but it's but it's becoming. The lines are blurring. How do you see that you have a shared responsibility model? Where does this whole topic fit in? >>Well, I think lots of companies are really finding a lot of value in their data, right. Whereas, you know, perhaps years ago it was less. It was easy to hang on to it, to actually make it valuable to do metrics and analytics on it to do machine learning, perhaps on it. And so, by having, um, products such as the product, you know, they're now able to hang on to that data and make sure that they have it in perpetuity so that they can do what they need to do on it. So, yes, we're seeing, you know, companies that were traditionally storage cos thinking about security, security cos thinking about data, so yes, all of those lines are being blurred for sure. And I think that, you know, as far as the short security model we think of the you know, we think of our partners and ourselves, obviously as extensions. And we're really looking to have the best customer experience that we can >>can I think every company security company, Obviously you impact enterprise care a lot about security A W s. I don't know any company because I don't really care about security. That's that's not my swim land out of business. If you If you had that attitude now. So from from your standpoint, where does it fit inside of you know, you're you're thinking, How are you guys thinking about security and data protection? Back up and recovery? Is it all just coming together or they still kind of separate entities? >>No, you're absolutely right. It is coming together, and what we're seeing is we're having a lot more conversations with ISO's, um so the more the security offices of organizations and I think what's happening is that's where the budget is to. And so you're saying they're sort of the working together on the I T and also the Office of Security to um so we're having more conversations there, and we see that, as I mentioned before, the recovery strategy is a key element of our focus. And what we can do is part of the overarching strategy of an organization. >>So what? How should we think about the cloud? Is it another layer of protection? Um, is it a replacement for tape? Maybe not, but we need as much protection as possible. So how should we think about the cloud in the context of data protection? >>Well, the cloud, Yeah, absolutely. Um can provide an alternative to tape or, um disc, for example, of this year. We also added support for a mutability preserved for A W S. With so we are ensuring in the fact that you know you can be changed so that that's absolutely critical. >>So that's a a right once read only technology. That's a service that you tap. So your integrating zero was integrating with that capability. So that's another layer of protection. That's another layer of protection. And then, of course, you know there's there's gaps, is another part of the strategy. So let's talk strategy for a minute. What's the I know it's not one size fits all, but what are you seeing as best practice strategies for customers to protect themselves against traditional just human error? Cyber attacks? What's the what's the sort of prevailing approach? How should we think about that? >>Well, I mean, you're absolutely right. Those the, you know, the filed elections, the database corruptions, and so our solutions, that is, our continuous data protection. It absolutely is, um, the ability to be able to get that granular level of recovery, which you can do with backups. I'm not saying that backup isn't part of your overall strategy, but if you're actually trying to recover quickly and within seconds to whether it's an attack to whether it's a file deleted, a database corruption, you need that continuous data protection. And that's something that you need to us that we've been delivering since the day that um was formed. So >>that's your secret sauce is it is a very granular ability to dial down based on your r p o. That's requirements based on the application requirements, uh, and then bring in the cloud for things like mutability. Maybe gapping. Maybe Last resort is still the last resort. I don't know. Maybe >>there. So, um, you know, a w s to be a target for disaster recovery. So all back up. >>You talk about that? >>Yeah. So, with what we have enabled is first of all, if you want to, um, my great, your work clothes to a W s. And we're seeing an awful lot of that. We provide that capability. So the mobility aspect, if you are looking at instead of an on premises disaster recovery site, you can use a W S D R site. Um, And if you want to back up to a W s and use, um, cost efficient storage, we support that with cloud tearing and mutability. And as I say today, we're announcing cloud for a W s, which is once you've got your work clothes in a W s. We can protect them now in, um, in a W s itself. So the full spectrum. And then earlier this year, we announced for communities for US work clothes, So we're really trying to ensure that we can protect any A W s workload wherever it is. >>So I look around here pretty impressive given that we're in the second year of a pandemic here, pretty packed floor. But the ecosystem is just exploding. That's gonna make you feel good. Cos like choosing to partner with a W s leaning in writing to your cloud-native fooling. Maybe give us the update on how you see this partnership. >>Well, I mean, just to Caroline's earlier point, you can see how Xero is continuing to innovate, right? And that's really key. So, um, having a cloud-native solution and then also having a solution that works for us. We're seeing a lot of companies thinking about containers thinking about server lists. And so, you know, the best partnerships that we have are the ones in which they're innovating with us continuously. And I've known about since I started in 2014. So they've been around for a long time, and they're continuing, um, to do that. And they are working closely with us to do P O. C. D. S. And and to help our customers really get what they need, um, in the data protection space and continuing to innovate, which is >>your customers, they want that they need that your your deep into data protection. Yes. You're scale of cloud But you're not going to have the the capabilities of Stack. So that one plus one hopefully is greater than to How do you where can we find out more information about you know, the new solutions? What's the what's the call to >>action culture as well? A couple of things. We've, uh we just We just launched deserted for a W s hands-on lab. And what that does is allow in your own time in your own environment to be able to try with a W S as a target and back up. Um, so we've just launched that and that enables you to see how it works with a W S. We also have for communities, um, lab as well, so you can see how it works with a K s. Uh, coming soon, we're going to have to in cloud lab that you can actually see how to protect your workload in the cloud in a W s. So those are the really the best ways to be able to Well, for a call to action is try. The lab really is >>awesome. Guys, thanks so much for coming to the Cube. Very important topic and keep up the good work. >>Thank you. Thank you. Very well. So >>we're seeing the evolution of data protection rethinking data protection in 2020. No longer is it a Bolton cloud modernization with deep stacks. Fine granularity for your r p o. But also quick recovery protection from Ransomware. It's a whole new world, and we're here to cover it. My name is David. You're watching the Cube, the leader in high tech coverage. We'll be right back. Yeah, Yeah, yeah. Mm, yeah.

>>welcome back. And thanks for joining us for our second session. External data, your new leading indicators. We'll be hearing from industry leaders as they share best practices and challenges in leveraging external data. This panel will be a true conversation on the part of the possible. All right, let's get to >>it >>today. We're excited to be joined by thought spots. Chief Data Strategy Officer Cindy Housing Deloitte's chief data officer Manteo, the founder and CEO of Eagle Alfa. And it Kilduff and Snowflakes, VP of data marketplace and customer product strategy. Matt Glickman. Cindy. Without further ado, the floor is yours. >>Thank you, Mallory. And I am thrilled to have this brilliant team joining us from around the world. And they really bring each a very unique perspective. So I'm going to start from further away. Emmett, Welcome. Where you joining us from? >>Thanks for having us, Cindy. I'm joining from Dublin, Ireland, >>great. And and tell us a little bit about Eagle Alfa. What do you dio >>from a company's perspective? Think of Eagle Alfa as an aggregator off all the external data sets on a word I'll use a few times. Today is a big advantage we could bring companies is we have a data concierge service. There's so much data we can help identify the right data sets depending on the specific needs of the company. >>Yeah. And so, Emma, you know, people think I was a little I kind of shocked the industry. Going from gardener to a tech startup. Um, you have had a brave journey as well, Going from financial services to starting this company, really pioneering it with I think the most data sets of any of thes is that right? >>Yes, it was. It was a big jump to go from Morgan Stanley. Uh, leave the comforts of that environment Thio, PowerPoint deck and myself raising funding eight years ago s So it was a big jump on. We were very early in our market. It's in the last few years where there's been real momentum and adoption by various types of verticals. The hedge funds were first, maybe then private equity, but corporate sar are following quite quickly from behind. That will be the biggest users, in our view, by by a significant distance. >>Yeah, great. Thank um, it So we're going to go a little farther a field now, but back to the U. S. So, Juan, where you joining us from? >>Hey, Cindy. Thanks for having me. I'm joining you from Houston, Texas. >>Great. Used to be my home. Yeah, probably see Rice University back there. And you have a distinct perspective serving both Deloitte customers externally, but also internally. Can you tell us about that? >>Yeah, absolutely. So I serve as the Lord consultants, chief data officer, and as a professional service firm, I have the responsibility for overseeing our overall data agenda, which includes both the way we use data and insights to run and operate our own business, but also in how we develop data and insights services that we then take to market and how we serve our dealers and clients. >>Great. Thank you, Juan. And last but not least, Matt Glickman. Kind of in my own backyard in New York. Right, Matt? >>Correct. Joining I haven't been into the city and many months, but yes, um, based in New York. >>Okay. Great. And so, Matt, you and Emmett also, you know, brave pioneers in this space, and I'm remembering a conversation you and I shared when you were still a J. P. Morgan, I believe. And you're Goldman Sachs. Sorry. Sorry. Goldman. Can you Can you share that with us? >>Sure. I made the move back in 2015. Um, when everyone thought, you know, my wife, my wife included that I was crazy. I don't know if I would call it Comfortable was emitted, but particularly had been there for a long time on git suffered in some ways. A lot of the pains we're talking about today, given the number of data, says that the amount of of new data sets that are always demand for having run analytics teams at Goldman, seeing the pain and realizing that this pain was not unique to Goldman Sachs, it was being replicated everywhere across the industry, um, in a mind boggling way and and the fortuitous, um, luck to have one of snowflakes. Founders come to pitch snowflake to Goldman a little bit early. Um, they became a customer later, but a little bit early in 2014. And, you know, I realized that this was clearly, you know, the answer from first principles on bond. If I ever was going to leave, this was a problem. I was acutely aware of. And I also was aware of how much the man that was in financial services for a better solution and how the cloud could really solve this problem in particular the ability to not have to move data in and out of these organizations. And this was something that I saw the future of. Thank you, Andi, that this was, you know, sort of the pain that people just expected to pay. Um, this price if you need a data, there was method you had thio. You had to use you either ftp data in and out. You had data that was being, you know, dropped off and, you know, maybe in in in a new ways and cloud buckets or a P i s You have to suck all this data down and reconstruct it. And God forbid the formats change. It was, you know, a nightmare. And then having issues with data, you had a what you were seeing internally. You look nothing like what the data vendors were seeing because they want a completely different system, maybe model completely differently. Um, but this was just the way things were. Everyone had firewalls. Everyone had their own data centers. There was no other way on git was super costly. And you know this. I won't even share the the details of you know, the errors that would occur in the pain that would come from that, Um what I realized it was confirmed. What I saw it snowflake at the time was once everyone moves to run their actual workloads in this in the cloud right where you're now beyond your firewall, you'll have all this scale. But on top of that, you'll be able to point at data from these vendors were not there the traditional data vendors. Or, you know, this new wave of alternative data vendors, for example, like the ones that eagle out for brings together And bring these all these data sets together with your own internal data without moving it. Yeah, this was a fundamental shift of what you know, it's in some ways, it was a side effect of everyone moving to the cloud for costs and scale and elasticity. But as a side effect of that is what we talked about, You know it snowflake summit, you know, yesterday was this notion of a data cloud that would connect data between regions between cloud vendors between customers in a way where you could now reference data. Just like your reference websites today, I don't download CNN dot com. I point at it, and it points me to something else. I'm always seeing the latest version, obviously, and we can, you know, all collaborate on what I'm seeing on that website. That's the same thing that now can happen with data. So And I saw this as what was possible, and I distinctly asked the question, you know, the CEO of the time Is this possible? And not only was it possible it was a fundamental construct that was built into the way that snowflake was delivered. And then, lastly, this is what we learned. And I think this is what you know. M It also has been touting is that it's all great if data is out there and even if you lower that bar of access where data doesn't have to move, how do I know? Right? If I'm back to sitting at Goldman Sachs, how do I know what data is available to me now in this this you know, connected data network eso we released our data marketplace, which was a very different kind of marketplace than these of the past. Where for us, it was really like a global catalog that would elect a consumer data consumer. Noah data was available, but also level the playing field. Now we're now, you know, Eagle, Alfa, or even, you know, a new alternative data vendor build something in their in their basement can now publish that data set so that the world could see and consume and be aligned to, you know, snowflakes, core business, and not where we wouldn't have to be competing or having to take, um, any kind of custody of that data. So adding that catalog to this now ubiquitous access, um really changed the game and, you know, and then now I seem like a genius for making this move. But back then, like I said, we've seen I seem like instant. I was insane. >>Well, given, given that snowflake was the hottest aipo like ever, you were a genius. Uh, doing this, you know, six years in advance. E think we all agree on that, But, you know, a lot of this is still visionary. Um, you know, some of the most leading companies are already doing this. But one What? What is your take our Are you best in class customers still moving the data? Or is this like they're at least thinking about data monetization? What are you seeing from your perspective? >>Yeah, I mean, I did you know, the overall appreciation and understanding of you know, one. I got to get my house in order around my data, um, has something that has been, you know, understood and acted upon. Andi, I do agree that there is a shift now that says, you know, data silos alone aren't necessarily gonna bring me, you know, new and unique insights on dso enriching that with external third party data is absolutely, you know, sort of the the ship that we're seeing our customers undergo. Um, what I find extremely interesting in this space and what some of the most mature clients are doing is, you know, really taking advantage of these data marketplaces. But building data partnerships right there from what mutually exclusive, where there is a win win scenario for for you know, that organization and that could be, you know, retail customers or life science customers like with pandemic, right the way we saw companies that weren't naturally sharing information are now building these data partnership right that are going are going into mutually benefit, you know, all organizations that are sort of part of that value to Andi. I think that's the sort of really important criteria. And how we're seeing our clients that are extremely successful at this is that partnership has benefits on both sides of that equation, right? Both the data provider and then the consumer of that. And there has to be, you know, some way to ensure that both parties are are are learning right, gaining you insights to support, you know, whatever their business organization going on. >>Yeah, great one. So those data partnerships getting across the full value chain of sharing data and analytics Emmett, you work on both sides of the equation here, helping companies. Let's say let's say data providers maybe, like, you know, cast with human mobility monetize that. But then also people that are new to it. Where you seeing the top use cases? Well, >>interestingly, I agree with one of the supply side. One of the interesting trends is we're seeing a lot more data coming from large Corporates. Whether they're listed are private equity backed, as opposed to maybe data startups that are earning money just through data monetization. I think that's a great trend. I think that means a lot of the best. Data said it data is yet to come, um, in terms off the tough economy and how that's changed. I think the category that's had the most momentum and your references is Geo location data. It's that was the category at our conference in December 2000 and 12 that was pipped as the category to watch in 2019. On it didn't become that at all. Um, there were some regulatory concerns for certain types of geo data, but with with covert 19, it's Bean absolutely critical for governments, ministries of finance, central banks, municipalities, Thio crunch that data to understand what's happening in a real time basis. But from a company perspective, it's obviously critical as well. In terms of planning when customers might be back in the High Street on DSO, fourth traditionally consumer transaction data of all the 26 categories in our taxonomy has been the most popular. But Geo is definitely catching up your slide. Talked about being a tough economy. Just one point to contradict that for certain pockets of our clients, e commerce companies are having a field day, obviously, on they are very data driven and tech literate on day are they are really good client base for us because they're incredibly hungry, firm or data to help drive various, uh, decision making. >>Yeah, So fair enough. Some sectors of the economy e commerce, electron, ICS, healthcare are doing great. Others travel, hospitality, Um, super challenging. So I like your quote. The best is yet to come, >>but >>that's data sets is yet to come. And I do think the cloud is enabling that because we could get rid of some of the messy manual data flows that Matt you talked about, but nonetheless, Still, one of the hardest things is the data map. Things combining internal and external >>when >>you might not even have good master data. Common keys on your internal data. So any advice for this? Anyone who wants to take that? >>Sure I can. I can I can start. That's okay. I do think you know, one of the first problems is just a cataloging of the information that's out there. Um, you know, at least within our organization. When I took on this role, we were, you know, a large buyer of third party data. But our organization as a whole didn't necessarily have full visibility into what was being bought and for what purpose. And so having a catalog that helps us internally navigate what data we have and how we're gonna use it was sort of step number one. Um, so I think that's absolutely important. Um, I would say if we could go from having that catalog, you know, created manually to more automated to me, that's sort of the next step in our evolution, because everyone is saying right, the ongoing, uh, you know, creation of new external data sets. It's only going to get richer on DSO. We wanna be able to take advantage of that, you know, at the at the pacing speed, that data is being created. So going from Emanuel catalog to anonymous >>data >>catalog, I think, is a key capability for us. But then you know, to your second point, Cindy is how doe I then connect that to our own internal data to drive greater greater insights and how we run our business or how we serve our customers. Andi, that one you know really is a It's a tricky is a tricky, uh, question because I think it just depends on what data we're looking toe leverage. You know, we have this concept just around. Not not all data is created equal. And when you think about governance and you think about the management of your master data, your internal nomenclature on how you define and run your business, you know that that entire ecosystem begins to get extremely massive and it gets very broad and very deep on DSO for us. You know, government and master data management is absolutely important. But we took a very sort of prioritized approach on which domains do we really need to get right that drive the greatest results for our organization on dso mapping those domains like client data or employee data to these external third party data sources across this catalog was really the the unlocked for us versus trying to create this, you know, massive connection between all the external data that we're, uh, leveraging as well as all of our own internal data eso for us. I think it was very. It was a very tailored, prioritized approach to connecting internal data to external data based on the domains that matter most to our business. >>So if the domains so customer important domain and maybe that's looking at things, um, you know, whether it's social media data or customer transactions, you prioritized first by that, Is that right? >>That's correct. That's correct. >>And so, then, Matt, I'm going to throw it back to you because snowflake is in a unique position. You actually get to see what are the most popular data sets is is that playing out what one described are you seeing that play out? >>I I'd say Watch this space. Like like you said. I mean this. We've you know, I think we start with the data club. We solve that that movement problem, which I think was really the barrier that you tended to not even have a chance to focus on this mapping problem. Um, this notion of concordance, I think this is where I see the big next momentum in this space is going to be a flurry of traditional and new startups who deliver this concordance or knowledge graph as a service where this is no longer a problem that I have to solve internal to my organization. The notion of mastering which is again when everyone has to do in every organization like they used to have to do with moving data into the organization goes away. And this becomes like, I find the best of breed for the different scopes of data that I have. And it's delivered to me as a, you know, as a cloud service that just takes my data. My internal data maps it to these 2nd and 3rd party data sets. Um, all delivered to me, you know, a service. >>Yeah, well, that would be brilliant concordance as a service or or clean clean master data as a service. Um, using augmented data prep would be brilliant. So let's hope we get there. Um, you know, so 2020 has been a wild ride for everyone. If I could ask each of you imagine what is the art of the possible or looking ahead to the next to your and that you are you already mentioned the best is yet to come. Can you want to drill down on that. What what part of the best is yet to come or what is your already two possible? >>Just just a brief comment on mapping. Just this week we published a white paper on mapping, which is available for for anyone on eagle alfa dot com. It's It's a massive challenge. It's very difficult to solve. Just with technology Onda people have tried to solve it and get a certain level of accuracy, but can't get to 100% which which, which, which makes it difficult to solve it. If if if there is a new service coming out against 100% I'm all ears and that there will be a massive step forward for the entire data industry, even if it comes in a few years time, let alone next year, I think going back to the comment on data Cindy. Yes, I think boards of companies are Mawr and Mawr. Viewing data as an asset as opposed to an expense are a cost center on bond. They are looking therefore to get their internal house in order, as one was saying, but also monetize the data they are sitting on lots of companies. They're sitting on potentially valuable data. It's not all valuable on a lot of cases. They think it's worth a lot more than it is being frank. But in some cases there is valuable data on bond. If monetized, it can drop to the bottom line on. So I think that bodes well right across the world. A lot of the best date is yet to come on. I think a lot of firms like Deloitte are very well positioned to help drive that adoption because they are the trusted advisor to a lot of these Corporates. Um, so that's one thing. I think, from a company perspective. It's still we're still at the first base. It's quite frustrating how slow a lot of companies are to move and adopt, and some of them are haven't hired CDO. Some of them don't have their internal house in order. I think that has to change next year. I think if we have this conference at this time next year, I would expect that would hopefully be close to the tipping point for Corporates to use external data. And the Malcolm Gladwell tipping point on the final point I make is I think, that will hopefully start to see multi department use as opposed to silos again. Parliaments and silos, hopefully will be more coordinated on the company's side. Data could be used by marketing by sales by r and D by strategy by finance holds external data. So it really, hopefully will be coordinated by this time next year. >>Yeah, Thank you. So, to your point, there recently was an article to about one of the airlines that their data actually has more value than the company itself now. So I know, I know. We're counting on, you know, integrators trusted advisers like Deloitte to help us get there. Uh, one what? What do you think? And if I can also drill down, you know, financial services was early toe all of this because they needed the early signals. And and we talk about, you know, is is external data now more valuable than internal? Because we need those early signals in just such a different economy. >>Yeah, I think you know, for me, it's it's the seamless integration of all these external data sources and and the signals that organizations need and how to bring those into, you know, the day to day operations of your organization, right? So how do you bring those into, You know, you're planning process. How do you bring that into your sales process on DSO? I think for me success or or where I see the that the use and adoption of this is it's got to get down to that level off of operations for organizations. For this to continue to move at the pace and deliver the value that you know, we're all describing. I think we're going to get there. But I think until organizations truly get down to that level of operations and how they're using this data, it'll sort of seem like a Bolton, right? So for me, I think it's all about Mawr, the seamless integration. And I think to what Matt mentioned just around services that could help connect external data with internal data. I'll take that one step beyond and say, How can we have the data connect itself? Eso I had references Thio, you know, automation and machine learning. Um, there's significant advances in terms of how we're seeing, you know, mapping to occur in a auto generated fashion. I think this specific space and again the connection between external and internal data is a prime example of where we need to disrupt that, you know, sort of traditional data pipeline on. Try to automate that as much as possible. And let's have the data, you know, connect itself because it then sort of supports. You know, the first concept which waas How do we make it more seamless and integrated into, you know, the business processes of the organization's >>Yeah, great ones. So you two are thinking those automated, more intelligent data pipelines will get us there faster. Matt, you already gave us one. Great, Uh, look ahead, Any more to add to >>it, I'll give you I'll give you two more. One is a bit controversial, but I'll throw that you anyway, um, going back to the point that one made about data partnerships What you were saying Cindy about, you know, the value. These companies, you know, tends to be somehow sometimes more about the data they have than the actual service they provide. I predict you're going to see a wave of mergers and acquisitions. Um, that it's solely about locking down access to data as opposed to having data open up. Um to the broader, you know, economy, if I can, whether that be a retailer or, you know, insurance company was thes prime data assets. Um, you know, they could try to monetize that themselves, But if someone could acquire them and get exclusive access that data, I think that's going to be a wave of, um, in a that is gonna be like, Well, we bought this for this amount of money because of their data assets s. So I think that's gonna be a big wave. And it'll be maybe under the guise of data partnerships. But it really be about, you know, get locking down exclusive access to valuable data as opposed to trying toe monetize it itself number one. And then lastly, you know. Now, did you have this kind of ubiquity of data in this interconnected data network? Well, we're starting to see, and I think going to see a big wave of is hyper personalization of applications where instead of having the application have the data itself Have me Matt at Snowflake. Bring my data graph to applications. Right? This decoupling of we always talk about how you get data out of these applications. It's sort of the reverse was saying Now I want to bring all of my data access that I have 1st, 2nd and 3rd party into my application. Instead of having to think about getting all the data out of these applications, I think about it how when you you know, using a workout app in the consumer space, right? I can connect my Spotify or connect my apple music into that app to personalize the experience and bring my music list to that. Imagine if I could do that, you know, in a in a CRM. Imagine I could do that in a risk management. Imagine I could do that in a marketing app where I can bring my entire data graph with me and personalize that experience for, you know, for given what I have. And I think again, you know, partners like thoughts. But I think in a unique position to help enable that capability, you know, for this next wave of of applications that really take advantage of this decoupling of data. But having data flow into the app tied to me as opposed to having the APP have to know about my data ahead of time, >>Yeah, yeah, So that is very forward thinking. So I'll end with a prediction and a best practice. I am predicting that the organizations that really leverage external data, new data sources, not just whether or what have you and modernize those data flows will outperform the organizations that don't. And as a best practice to getting there, I the CDOs that own this have at least visibility into everything they're purchasing can save millions of dollars in duplicate spend. So, Thio, get their three key takeaways. Identify the leading indicators and market signals The data you need Thio. Better identify that. Consolidate those purchases and please explore the data sets the range of data sets data providers that we have on the thought spot. Atlas Marketplace Mallory over to you. >>Wow. Thank you. That was incredible. Thank you. To all of our Panelists for being here and sharing that wisdom. We really appreciate it. For those of you at home, stay close by. Our third session is coming right up and we'll be joined by our partner AWS and get to see how you can leverage the full power of your data cloud complete with the demo. Make sure to tune in to see you >>then

>> Narrator: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is theCUBE conversation. >> Hey, welcome back everybody. Jeff Frick here with theCUBE, we're in our Palo Alto studios, the COVID crisis continues. Luckily we've got the ability to interview guests from remote and so we're excited to have this next guest. There's a lot of activity going on around equality and gender diversity, Black Lives Matter, and it feels like it really does feel like there's kind of a step function in moving this along. And there's a lot of groups out there that are trying to take a very active role, and one of the things they're trying to do is help women get on more corporate board seats, more representation, and we're really excited to have our next guest. Who's really taking a slightly different approach, a new approach to this, and we're happy to be joined by Rita Scroggin. She is the founder of FirstBoard.io, and she's also the Practice Director, Executive Group at Triad Group. So Rita, great to see you. >> Thank you very much, Jeff, for having me, I'm super excited to be here and to share the story about FirstBoard.io, what we're doing and how hopefully that will change the world just a little bit. >> That's great. Well, the way that this came about is I was on LinkedIn, I'm on LinkedIn all the time, and all of a sudden this big picture hit my feed and a ton of familiar faces. I think that's what it is four by eight. And I see Abby Kearns, Dao Jensen, Eve Maler, Wendy Perilli, Jocelyn is in there Syamla in there. And I thought, wow, I know a bunch of these women, and I'm always happy to promote the women in theCUBE alumni. And I reached out and I think it was Wendy said, "Hey, this is... She said, "I'm a founding member of this thing called FirstBoard.io. And I (indistinct) and she said, we got to talk to Rita. So it was great to meet you. And this is a new organization. I think you said you started at the very beginning of this year. >> Yeah. >> Why? Let's get kind of to the origin story. >> Yeah. >> What gave you the idea? Why did you think that this was something that needed to be done? And what caused you to actually take the leap of faith and start FirstBoard? >> Yeah, very good question. So in the fall of 2019, I did an event in partnership with K&L Gates and it was about how to get on board, and it wasn't gender specific, but I invited a lot of women from my network, and through K&L Gates, there was a speaker on the panel, Cheryl Bolton, who is now a supporter of FirstBoard.io. And we spoke after the panel discussion, so I was the moderator, and she said, "Do you place people or women specifically, "on private company boards? I said, I do now let's have a conversation about that. So we talked some more and we kind of felt like there's really a need for companies to diversify their boards, particularly private tech companies. And so then I thought about more about the idea. I reached out to a few women in my network and I said, hey, I have this idea. I'm thinking about starting an initiative around this topic, would you be interested in being part of it? And a lot of the women who I reached out to said, I'd love the idea, I would love to get involved. So that was really the origin, then we met, we had a little sort of social get together in, I think it was early December in Palo Alto. And then we said, let's launch officially in January, which we did. So in January we had our first and only in-person meeting, the idea initially was that we would meet every quarter in person. So it would be very localized to Silicon Valley and then COVID happened and everything changed. And we are now meeting via Zoom every six to eight weeks. We have members who are in different locations, most of our members are on Silicon Valley, but we also have a member in New York, in Seattle, in Dallas, and I might forget a location, but we're a little bit more distributed right now. And so that is where we are today. >> So you've done it a little bit different. You've got this group of women, there's 32 women in that picture, the founding members. And so you're taking almost like a cohort approach, a group approach. Why that approach? What did you see that wanted you to go that way, versus doing individual searches for individual companies, looking for individual kind of board members. Why the group approach? What type of dynamic does that introduce? How do the women leverage one another inside of this structure? >> Yeah, that's a good question. That's really the idea. The idea is that we work together collaboratively and that we leverage each other's networks. We raise each other's platform. I might know 10 or 15 or whatever, decision makers let's say VCs, CEOs, but the next member might know an equal number or more or less. So what I was thinking is if we leverage each other's network, we exponentially grow our network and we exponentially grow our visibility. So our focus right now is to really raise the profile of FirstBoard.io and the profile of each member of the group. So it it's fundamentally different, 'cause we're working together, kind of almost like a company that can accelerate where if we have a success, it's everybody's success. Because it raises the profile of everybody else. >> Right. >> So that's the idea, which is different than a networking organization, where you are an unknown member. And we're trying to make this in a different way. >> Right, right. And is the goal, within all the women that have joined, the founding members for all of them to get on a board, I mean, is that all of them are >> That's the goal. qualified people to be on a proper board. >> Yeah, that is the goal, that's the idea, we may not accomplish that in the first round because this is a problem that's been going on for a long time, but we're getting close to our first board placement. So that's I think initial great success. And we're working on a number of initiatives right now to raise the profile. We're doing a video interview with all our supporters. We are creating a campaign, how to reach out to CEOs and VCs. So we're working on a number of things right now behind the background to really target our audience, and our audience is specific to the tech world. So we're focusing really on private tech companies and we're focusing on our decision makers within those organizations. So whether it's the investor, the private equity, growth equity, or venture capital community, or the CEO or other board members for that matter, who may be aware that there's an opening and we're trying to tap into those as well. >> Right, right. So you've mentioned Silicon Valley, VCs and private equity a couple of times. So is the focus more in kind of that ecosystem that we're familiar with here in Silicon Valley with more private, kind of private and growth opportunities, or are you also just fully looking for large, regular public companies as well? >> We wouldn't turn down a public company opportunity, but none of our members have been on a board so far. And I think it's probably more realistic that, the first board position might be at a private tech company where the operating experience is particularly valuable. So that's our primary focus in terms of reaching out of the old But if a public company would come our way and say, we absolutely would love to talk to some of your members, of course we wouldn't turn that down. >> Jeff: Right. >> But actively we are going after private tech companies, and they can be located anywhere, so it's not specific this to Silicon Valley, of course a lot of tech companies are clustered there or here, but it could also be company in New York, or Boston, or wherever, but the focus is really on tech versus a broader focus of any kind of company. >> Right, right. So when you're working with these women who've never been on a board, what do you find is kind of the biggest gap that they need to fill, whether that's a real gap or perceived gap in their either skillsets or experience or whatever, to kind of make the jump and get into one of these board seats. Is it in any particular skill, any particular kind of point of view, what are the types of things that you do as a group to help them be better received, I guess, for the opportunities? >> Yeah. What we don't do is we don't really a training program or prep here. There are other organizations who do that, I think we do a very, very good job. Some of our members are part of other organizations as well. So what we're thinking more is the company oftentimes has, in a certain growth stage, has a gap in some form. And in looking at board opportunities, I think it's important to identify where's that gap, maybe it's go to market, or maybe it is a certain technical expertise, and match them up with the experience of our founding members. So we don't have a program to prepare women, we're more focused on... Okay, we're assuming you're prepared, that might be various degrees, and we're just trying to match kind of the operating expertise to the gap on a fully independent board member at any given company. >> Right, right I think we talked before we turned on the cameras, the three things you said you focus on really is, is operational expertise, skill experience, as well as domain expertise. >> Yeah. >> And so you're really trying to kind of map against a gap that the company has against a skillset that one of the members has. >> Yeah. So far I've sort of facilitated three different board opportunities and two of them, what they had in common, that the company was looking for somebody who really had domain expertise with the audience they were looking at, and who understood the buyer, and who had deep expertise in what to market strategies, developing them. So that's one example, right. And the other company, the third one was looking for somebody who had connections in the space who really understood that particular domain. And so it all depends, and I think it also depends on what stage the company's in. And I think the further along the company is, the more it's about governance and regulations. And earlier on, it's really filling a certain gap on the leadership team. >> Right. >> In the private equity world is also very interesting to us because oftentimes there's a timeline and there are certain growth objectives the company wants to reach. And that's a great opportunity, I think, for FirstBoard to bring in a founding member with that particular operating expertise. >> Right, right. So I'm curious, that's a great segue into kind of the customer side, if you will, the people that are looking for board members. Have you seen over the last several months or years, I'll open it up, kind of a shift in terms of people a, just kind of accepting that there are going to be more women and people of color on the board, but also more of kind of an active search and a more kind of progressive goal to make sure that they do increase the diversity on their boards, whether that be for women or people of color or whatever, just to bring more diversity. Have you seen a shift in your customer base, in terms of they're really focused on prioritization on that? >> Well, I think it's certainly on people's mind and I think now more so than ever with the recent changes and sort of uprising of Black Lives Matter, but I wouldn't say that has really transferred over into real meaningful diversity on boards. I think we still have a long, long way to go, and there's an organization, Him For Her, and I think it was the Calyx Management Institute, they did a study last year and they found that privately, heavily funded companies, 60% of those don't have a single woman on the board. And I think women in general held about 7% of board seats at these companies. So I think there's still a long way to go, but I think it's very important that in the future, a larger proportion of the population is reflected in the boards. Right? So whether it's women, women of color, people of color, so everybody should be part of the leadership team on the board level and on the leadership level. And I think that has become certainly more of a topic, I think, especially for large companies. And I think startups are now recognizing that it's important for them too, especially if they want to be perceived as a company, which has fair and equal values. >> Right. Right. So given that kind of landscape, if you will, what are kind of the expectations that you have with this founding member group? And I presume there'll be other groups in the future once these people all find a great board seat and are doing their thing, kind of, is it a really tough road ahead? Do you see that it's really not that tough on maybe in the macro level, but on the micro level there are some real opportunities, how are you as a group of 32 founding members trying to take this Hill, if you will, against pretty tough odds actually. >> But I think we're going to take it one step at a time. We already did a press release, we have a website, we have some visibility on LinkedIn and we already have been able to curate three different board conversations. So I think step by step, I think we will become more visible. I think we will be more known. We will have more opportunities to introduce founding members, this current cohort and future cohorts. And through that, I think we will make progress. So I'm very optimistic that we can make a difference, that we can get more women on boards. And once the founding members have joined a board, the plan is to launch a group where basically we create a peer group, which will then mentor and support the next cohort. And we also have an amazing group of supporters and partners already. We have Steve Singh from Madrona Ventures. We have Rohini from NGP Capital, and we're always looking for more partners and supporters. I'm not going list everybody right now, but I'm very proud about that we have partners and supporters who bought into the mission and who are helping us accomplish the mission. So I feel very optimistic that we will be able to move the needle. >> Jeff: Yeah. >> It might be at slower pace, but it was still the making a difference. >> Right. Right. Well, the hundredth anniversary of women getting the vote is coming up here in a couple of weeks. Right. And that took a long time to get done, So this stuff it does not happen easily. It does not happen overnight. But I would think certainly too with the increasing number of women in VC roles, as partners, and are also getting on board seats that hopefully that the things are starting to fall in the right direction. And hopefully with each progressive placement is a little bit easier than the one before. So Rita it's great to meet you, everyone I talked to you about you is so excited about the work that you're doing and what you're doing with FirstBoard. >> Thank you. >> I want to give you kind of the last word before we sign off, how should people learn more? How can people support the cause? How should people get involved, so that they can move the needle. >> That's great. Thank you. Get in touch with us on, if you go to the website FirstBoard.io, there is a way to partner with us, there's a link to partner with us, there's a link if you are interested in joining the future cohort. Please contact me and I will respond. And we would love to talk to companies, who are thinking about diversifying their board, we would love to talk to VCs for whom this is important. So please get in touch, and we'll figure out how to change the world together. >> Right And, oh by the way, most studies show you get better business outcomes, right. With diversity of opinion, diversity of points of view. So it's not only the right thing to do, it's also very good business. >> And I think the next decade we are ready for change. I think the society, I think is ready for change. And I think how companies run and are operated, I think people are ready for a change too. So I think the timing is really, really right. And I think we can make it happen. >> Great. Well, Rita, thank you again for taking a few minutes >> Thank you >> and telling your story and joining us on theCUBE. >> Thank you very much. It was pressure of Jeff and I look forward to talk again. >> Yeah. Maybe in person after we get through all this COVID madness. >> Maybe in person, yeah. >> All right. Well, thanks again, Rita. >> Rita: Thank you very much. >> All right She's Rita, I'm Jeff. You're watching theCUBE. Thanks for watching. We'll see you next time. (soft music)

[Music] hello and welcome to the Palo Alto students leaky bomb John Farrar we're here for a special cube conversation and special report big news from VMware discuss the launch of the availability of vSphere 7 I'm here with Chris Prasad SVP and general manager of the vSphere business and cloud platform business unit and Paul Turner VP a VP of Product Management guys thanks for coming in and talking about the big news thank you for having us you guys announced some interesting things back in march around containers kubernetes and the vSphere Chris just about the hard news what's being announced today we are announcing the general availability of vSphere 7 John it's by far the biggest release that we have done in the last 10 years we previewed it this project Pacific a few months ago with this release we are putting kubernetes native support into the vSphere platform what that allows us to do is give customers the ability to run both modern applications based on kubernetes and containers as well as traditional VM based applications on the same platform and it also allows the IT departments to provide their developers cloud operating model using the VMware cloud foundation that is powered by this release this is a key part of our tansu portfolio of solutions and products that we announced this year and it is star gated fully at the developers of modern applications and the specific news is vSphere 7 is general available generally vSphere 7 yes ok that so let's on the trend line here the relevance is what what's the big trend line that this is riding obviously we saw the announcements at VMware last year and throughout the year there's a lot of buzz pascal sternness says there's a big wave here with kubernetes what does this announcement mean you guys with the marketplace trend yeah so what kubernetes is really about is people trying to have an agile operation they're trying to modernize their IT applications and they the best way to do that is build off your current platform expand it and make it a an innovative a agile platform for you to run kubernetes applications and VM applications together I'm not just that customers are also looking at being able to manage a hybrid cloud environment both on pram and public cloud together so they want to be able to evolve and modernize their application stack but modernize their infrastructure stack which means hybrid cloud operations with innovative applications kubernetes or container based applications on VMs what's excited about this trend increase we were talking with us at vmworld last year and we've had many conversations around cloud native but you're seeing cloud native becoming the operating model for modern business I mean this is really the move to the cloud if you look at the successful enterprises and even the suppliers the on-premises piece if not move to the cloud native marketplace technologies the on premise isn't effective so it's not so much on premises going away we know it's not but it's turning into cloud native this is the move to the cloud generally this is a big wave yeah absolutely I mean if John if you think about it on-premise we have significant market share by far the leader in the market and so what we are trying to do with this is to allow customers to use the current platform they are using but bring their application modern application development on top of the same platform today customers tend to set up stacks which are different right so you have a kubernetes stack you have a stack for the traditional applications you have operators and administrators who are specialized in kubernetes on one side and you have the traditional VM operators on the other side with this move what we are saying is that you can be on the same common platform you can have the same administrators who are used to administering the environment that you already had and at the same time offer the developers what they like which is kubernetes dial-tone that they can come and deploy their applications on the same platform that you use for traditional applications yeah Paul Paul Pat said kuba is gonna be the dial tone on the Internet most Millennials might even know what dial tone is but if what he meant is is that's the key fabric that's gonna work a straight and you know we've heard over the years skill gap skill gap not a lot of skills out there but when you look at the reality of skills gap it's really about skills gaps and shortages not enough people most CIOs and chief information security are so that we talk to you say I don't want to fork my development teams I don't want to have three separate teams so I don't have to I I want to have automation I want an operating model that's not gonna be fragmented this kind of speaks to this whole idea of you know interoperability and multi-cloud this seems to be the next big way behind ibrid I think it I think it is the next big wake the the thing that customers are looking for is a cloud operating model they like the ability for developers to be able to invoke new services on demand in a very agile way and we want to bring that cloud operating model to on-prem to Google cloud to Amazon Cloud to Microsoft cloud to any of our VC peepee partners you get the same cloud operating experience and it's all driven by a kubernetes based dial-tone it's effective and available within this platform so by bringing a single infrastructure platform that can one run in this hybrid manner and give you the cloud operating agility that developers are looking for that's what's key in version seven says Pat Kelsey near me when he says dial tone of the internet kubernetes does he mean always on or what does he mean specifically just that it's always available what's what's is what's the meaning behind that that phrase no I the first thing he means is that developers can come to the infrastructure which is the VMware cloud foundation and be able to work with a set of api's that are kubernetes api s-- so developers understand that they are looking for that they understand that dial tone right and you come to our VMware cloud foundation once across all these clouds you get the same API said that you can use to deploy that application okay so let's get into the value here of vSphere seven how does VMware vSphere seven specifically help customers isn't just bolting on kubernetes to vSphere some will say is it that's simple or used whether you're running product management no it's not that easy it's yeah some people say hey use bolton kubernetes on vSphere it's it's not that easy so so one of the things if if anybody's actually tried deploying kubernetes first it's highly complicated um so so definitely one of the things that we're bringing is you call it a Bolton but it's certainly not like that we are making it incredibly simple you talked about IT operational shortages customers want to be able to deploy kubernetes environments in a very simple way the easiest way that we can you can do that is take your existing environment that are out ninety percent of IT and just turn on turn on the kubernetes dial tone and it is as simple as that now it's much more than that in version seven as well we're bringing in a couple things that are very important you also have to be able to manage at scale just like you would in the cloud you want to be able to have infrastructure almost self manage and upgrade and lifecycle manage itself and so we're bringing in a new way of managing infrastructure so that you can manage just large scale environments both on-premise and public cloud environments and scale and then associated with that as well is you must make it secure so there's a lot of enhancements we're building into the platform around what we call intrinsic security which is how can we actually build in truly a trusted platform for your developers and IT yeah I mean I was just going to touch on your point about the shortage of IT staff and how we are addressing that here the the way we are addressing that is that the IT administrators that are used to administering vSphere can continue to administer this enhanced platform with kubernetes the same way they administered the older releases so they don't have to learn anything new they are just working the same way we are not changing any tools process technologies it was before same as it was before more capable dealer and developers can come in and they see new capabilities around kubernetes so it's best of both worlds and what was the pain point that you guys are so obviously the ease-of-use is critical Asti operationally I get that as you look at the cloud native developer Saiga's infrastructure as code means as app developers on the other side taking advantage of it what's the real pain point that you guys are solving with vSphere 7 so I think it's it's it's multiple factors so so first is we've we've talked about agility a few times right there is DevOps is a real trend inside an IT organizations they need to be able to build and deliver applications much quicker they need to be able to respond to the business and to do that what they are doing is they need infrastructure that is on demand so what what we're really doing in the core kubernetes kind of enablement is allowing that on-demand fulfillment of infrastructure so you get that agility that you need but it's it's not just tied to modern applications it's also your all of your existing business applications and your modern applications on one platform which means that you know you've got a very simple and and low-cost way of managing large-scale IT infrastructure so that's that's a huge piece as well and and then I I do want to emphasize a couple of other things it's it we're also bringing in new capabilities for AI and ML applications for sa P Hana databases where we can actually scale to some of the largest business applications out there and you have all of the capabilities like like the GPU awareness and FPGA where FPGA awareness that we built into the platform so that you can truly run this as the fastest accelerated platform for your most extreme applications so you've got the ability to run those applications as well as your kubernetes and container based applications that's the accelerate application innovation piece of the announcement right that's right yeah it's it's it's quite powerful that we've actually brought in you know basically new hardware awareness into the product and expose that to your developers whether that's through containers or through VMs which I want to get your thoughts on the ecosystem and then in the community but I want to just dig into one feature you mentioned I get the lifestyle improvement a life cycle improvement I get the application acceleration innovation but the intrinsic security is interesting could you take a minute explain what that is yeah so there's there's a few different aspects one is looking at how can we actually provide a trusted environment and that means that you need to have a way that the key management that even your administrator is not able to get keys to the kingdom as we would call it you you want to have a controlled environment that you know some of the worst security challenges inside and some of the companies has been your in choler internal IT staff so you've got to have a way that you can run a trusted environment and independent we've got these fair trust authority that we released in version 7 that actually gives you a a secure environment for actually managing your keys to the kingdom effectively your certificates so you've got this you know continuous runtime now not only that we've actually gone and taken our carbon black features and we're actually building in full support for carbon black into the platform so that you've got negative security of even your application ecosystem yeah that's been coming up a lot in conversations the carbon black in the security piece chrishelle see these fear everywhere having that operating model makes a lot of sense but you have a lot of touch points you got cloud hyper scale is that the edge you got partners so the other dominant market share and private cloud we are on Amazon as you well know as your Google IBM cloud Oracle cloud so all the major clouds there is a vSphere stack running so it allows customers if you think about it right it allows customers to have the same operating model irrespective of where their workload is residing they can set policies compliance security they said it once it applies to all their environments across this hybrid cloud and it's all fun a supported by our VMware cloud foundation which is powered by vSphere 7 yeah I think having that the cloud is API based having connection points and having that reliable easy to use is critical operating model all right guys so let's summarize the announcement what do you guys take dare take away from this vSphere 7 what is the bottom line what's what's it really mean I I think what we're if we look at it for developers we are democratizing kubernetes we already are in ninety percent of IT environments out there are running vSphere we are bringing to every one of those vSphere environments and all of the virtual infrastructure administrators they can now manage kubernetes environments you can you can manage it by simply upgrading your environment that's a really nice position rather than having independent kind of environments you need to manage so so I think that's that is one of the key things that's in here the other thing though is there is I don't think any other platform out there that other than vSphere that can run in your data center in Google's in Amazon's in Microsoft's in you know thousands of VC PP partners you have one hybrid platform that you can run with and that's got operational benefits that's got efficiency benefits that's got agility benefits yeah I just add to that and say that look we want to meet customers where they are in their journey and we want to enable them to make business decisions without technology getting in the way and I think the announcement that we made today with vSphere 7 is going to help them accelerate their digital transformation journey without making trade-offs on people process and technology and there's more to come look we're laser focused on making our platform the best in the industry for running all kinds of applications and the best platform for a hybrid and multi cloud and so you'll see more capabilities coming in the future stay tuned well one final question on this news announcement which is this awesome vSphere core product for you guys if I'm the customer tell me why it's gonna be important five years from now because of what I just said it is the only platform that is going to be running across all the public clouds right which will allow you to an operational model that is consistent across the clouds so think about it if you go to Amazon native and then you have orc Lord in Azure you're going to have different tools different processes different people trained to work with those clouds but when you come to VMware and you use our cloud foundation you have one operating model across all these environments and that's going to be game-changing great stuff great stuff thanks for unpacking that for us graduates on the insulin thank you at vSphere 7 News special report here inside the cube conversation I'm John Ferger thanks for watching [Music]

>> Hi, I'm Peter Burroughs. And welcome to another cube conversation. This one is part of a very, very special digital community event sponsored by day trip. What we're going to be talking about today. Well, date comes here with a special product announcement that's intended to help customers do a better job of matching their technology needs with the speed and opportunities to use their data differently within their business. This is a problem that every single customer faces every single enterprise faces, and it's one that's become especially acute as those digital natives increasingly hunt down and take out some of those traditional businesses that are trying to better understand how to use their data. Now, as we have with all digital community events at the end of this one, we're gonna be running a crowd chat, so stay with us, will go through a couple of day trim and datum customer conversations, and then it'LL be your turn toe. Weigh in on what you think is important. Ask the questions of Data Room and others in the community that you think need to be addressed. Let's hear what you have to say about this increasingly special relationship between data technology and storage services. So without further ado, let's get it kicked off. Tim Page is the CEO of Datum. Tim, Welcome to the Cube. Thank you, Peter. So data give us a quick take on where you guys are. >> Yeah, Day tree ums formulated as a software to find converged infrastructure company that takes that converges to the next level. And the purpose of us is to give the user the same experience, whether you're working on Prem or across multi cloud. >> Great. So let's start by saying, that's the vision, but you've been talking a lot of customers. What's the problem that you keep hearing over and over that you're pointing towards? >> Yeah, it's funny. So it's so meet with the number CEOs over the years and specifically is related to a tree, and they'LL tell you they were on an on demand economy that expects instant outcomes, which means you have to digitally transform. And to do that, you've got to transform it, which means it's got to be easy. It's got to be consistent. You've got to get rid of a lot of the management issues, and it's got a feel and take advantage of the services that cloud has to offer. >> All right, so that's the nature of the problem. You've also done a fair amount of research looking into the specifics of what they're asking for. Give us some insight into what day terms discovering as you talk to customers about what the solutions are going to look like. >> It's interesting. So if you look at how to resolve that, you've got to conf urged to transform in some form or fashion. If you look at the first level of convergence a lot of people have done, it's been directly as relates the hardware architecture. We've taken that to a whole new level until Point were saying, How do you actually automate those mundane task that take multiple groups to solve specifically primary backup disaster recovery? All the policies involved in that is a lot of work that goes into that across multiple groups, and we set out to solve those issues, >> so there's still a need for performance. There's still the need for capacity to reduce management time and overhead etcetera. But Tim, as we move forward, how our customers responding this you're getting some sense of what percentage of them are going, Teo say Yeah, that's it >> s so interesting. So we could start a survey and got over five hundred people leaders to respond to it. It's interesting is they talk about performance management security, but they're also talking about consistency of that experience. And specifically, we asked how many of you is important to have your platform have built in backup and policy services with encryption built in et cetera. We got a seventy percent rate of those applicants of those those people interviewed saying is really important for that to be part of a plan. >> So it sounds like you're really talking about something Mohr than just a couple of products. You really talking about forcing customers or you're not forcing. Customers are starting the process of rethinking your data infrastructure, and I got that right. >> That's right. If you look at how infrastructure is grown in the last twenty years, right? Twenty years ago, san technology was related, and every time you throw open app, you had to put different policies that Apple put different one tight management to how much of my resources and go to certain things. We set out to actually automate that which is why it took us four years. To build this platform with a hundred programmers is, Well, how do we actually make you not think about how you're going to back up? How do you set a policy and no disaster recovery is going to run? And to do that, you've gotta have it one code base and we know we're on to something, even based on our survey, because the old array vendors are all buying Bolton's because they know users want an experience. But you can't have that experience with the ball time. You have to have it your fundamental platform. >> Well, let me let me step in here. So I've been around for a long time him and heard a lot of people talk about platforms. And if I have kind of one rule companies and introduce platforms that just expand, typically failed companies that bring an opinion and converge more things so it's simpler tend to be more successful. Which direction's date >> going? So we definitely That's why we took time, right? If you want to be an enterprise class company, you can't build a cheap platform in eighteen months and hit the market because were you, architect, you stay. So our purpose from the beginning was purposefully to spend four years building an enterprise clap platform that did away with a lot of the mundane task seeing management That's twenty years old. Technology right? One management. So if you're buying your multi cloud type technology experience in cages, you're just buying old stuff. We took an approach saying, We want that consistent approach that whether you're running your services on from or in any type of cloud, you could instantly take advantage of that, and it feels the same. That's a big task because you're looking to run the speed of storage with the resiliency of backup right, which is a whole different type of technology. Which is how our founders, who have built the first words in this went to the second, almost third version of that type of oven. Stan she ation of a platform. >> All right, so we know what the solution is going to look like. It's going to look like a data platform that's rethought to support the needs of data assets and introduces a set of converge services that really focus the value proposition to what the enterprise needs So what do you guys announcing? >> That's exactly right. So we've finalized what we call our auto matrix platform. So auto matrix in inherently In it we'LL have primary backup Disaster recovery D Our solution All the policies within that an encryption built in from the very beginning. Soto have those five things we believe toe actually have on the next generation experience across true multi cloud. You're not bolting on hardware technologies. You're bolting on software technologies that operate in the same manner. Those five things have to be an errand or you're a bolt on type company. >> So you're not building a platform out by acquisition. You build a platform out by architecture and development. >> That's right. And we took four years to do it with one hundred guys building this thing out. It's released, it's out and it's ready to go. So our first we're announcing is that first in Stan she ation of that as a product we're calling control shift, which is really a data mobility orchestrator. True sas based you could orchestrate from the prime from the cloud cloud to cloud, and our first generation of that is disaster recovery so truly to be able to set up your policies, check those policies and make sure you're going to have true disaster recovery with an Rto zero. It's a tough thing we've done it. >> That's upstanding. Great to hear Tim Page, CEO Data Room, talking about some of the announcement that were here more about in the second. Let's now turn our attention, Teo. A short video. Let's hear more about it. >> The bank is focused on small businesses and helping them achieve their success. We want to redesign the customer engagement in defining the bank of the future. This office is our first implementation of that concept, as you can see is a much more open floor plan design that increases the interaction between our lead bank associates and our clients with day tree and split provisioning. Oliver Data is now on the host, so we have seen eighty times lower application. Leighton. See, this gives our associates instant responses to their queries so they can answer client questions in real time. That time is always expensive in our business. In the past we had a forty eight hour recovery plan, but with the atrium we were able to far exceed that plan we've been able to recover systems in minutes now instead of backing at once per day with that backup time taking eighteen hours. Now we're doing full system snapshots our league, and we're replicating those offsite stay trim is the only vendor I know of that could provide this end to end encryption. So any cyber attacks that get into our system are neutralized with the data absolution. We don't have to have storage consultants anymore. We don't have to be stored. Experts were able to manage everything from a storage perceptive through the center, obviously spending less time and money on infrastructure. We continue to leverage new technologies to improve application performance and lower costs. We also want to animate RDR fail over. So we're looking forward to implementing daydreams. Product deloused orchestrate an automaton. RDR fell over process. >> It is always great to hear from a customer. Want to get on Peterborough's? This's a Cube conversation, part of a digital community event sponsored by Data Room. We were talking about how the relationship between the new digital business outcomes highly dependent upon data and the mismatch of technology to be able to support those new classes of outcomes is causing problems in so many different enterprises. So let's dig a little bit more deeply into someone. Tatum's announcements to try to find ways to close those gaps. We've got his already who's the CTO of data on with today, says all are welcome to the Cube, >> that being a good to see you again. >> So automate tricks give us a little bit more toe tail and how it's creating value for customers. >> So if you go to any data center today, you notice that for the amount of data they have their five different vendors and five different parts to manage the data. There is the primary storage. There is the backup on DH. There is the D R. And then there's mobility. And then there is the security or think about so this five different products, our kind of causing friction for you if you want to move, if you want to be in the undermanned economy and move fast in your business, these things are causing friction. You cannot move that fast. And so what we have done is that we took. We took a step back and built this automatics platform. It's provides this data services. We shall kind of quality that autonomous data services. The idea is that you don't have to really do much for it by converging all this functions into one simple platform that we let him with all the friction you need to manage all your data. And that's kind of what we call auto metrics that >> platform. So as a consequence, I gotta believe, Then your customers are discovering that not only is it simpler, easy to use perhaps a little bit less expertise required, but they also are more likely to be operationally successful with some of the core functions like D are that they have to work with. >> Yeah, So the other thing about these five five grandpre functions and products you need is that if you want to imagine a future, where you going, you know, leverage the cloud For a simple thing like the R, for example, the thing is that if you want to move this data to a different place with five different products, how does it move? Because, you know, all these five products must move together to some of the place. That's not how it's gonna operate for you. So by having these five different functions converge into one platform is that when the data moves between the other place, the functions move with it giving the same exist same exact, consistent view for your data. That's kind of what we were built. And on top of all the stuff is something we have this global data management applications to control the all the data you have your enterprise. >> So how are customers responding to this new architecture of autumn matrix converge services and a platform for building data applications? >> Yeah, so our customers consistently Teyla's one simple thing is that it's the most easiest platform there ever used in their entire enterprise life. So that's what we do aimed for simplicity for the customer experience. Autonomous data services give you exactly that experience. So as an example, last quarter we had about forty proof of concept sort in the field out of them, about thirty of adopted already, and we're waiting for the ten of the results to come out this quarter. So generally we found that a proof of concept don't come back because once you touch it, experience simplicity offered and how how do you get all this service is simple, then people don't tend to descend it back. They like to keep it and could have operated that way. >> So you mentioned earlier, and I kind of summarizing notion of applications, Data services, applications tell us a little bit about those and how they really toward a matrix. >> Right? So once you have data in multiple places, people have not up not a cloud. And we're going to also being all these different clouds and report that uniform experience you need this date. You need this global data management applications to extract value out off your data. And that's kind of the reason why we built some global data management applications. I SAS products, I think, install nothing to manage them. Then they sit outside and then they help you manage globally. All the data you have. >> So as a result, the I and O people, the destruction operations administrators, I can think of terms of automata whose platform the rest of the business could look at in terms of services and applications that through using and support, >> that's exactly right. So you get the single dashboard to manage all the data. You have an enterprise >> now I know you're introducing some of these applications today. Can you give us a little peek into? Yeah. >> Firstly, our automatics platform is a soft is available on prime as a software defined converge infrastructure, and you can get that we call it D V X. And then we also offer in the cloud our services. It's called Cloud Devi Ex. You could get these and we're also about kind off announcing the release ofthe control shift. It's over for one of our first date. Imagine applications, which kind of helps you manage data in a two different locations. >> So go over more specific and detail in the control shift. Specifically is which of those five data services you talk about is control shift most clearly associating with >> right. So if you go toe again back to this question about like five different services, if you have to think about B r o D. R. Is a necessity for every business, it's official protection. You need it. But the challenge is that you know that three four challenges you gently round into the most common people talk about is that one is that you have a plan. You'LL have a proper plan. It's challenging to plan something, and then you think about the fire drill. We have to run when there's a problem. And then last leaving actually pushed the button. Tofail over doesn't really work for you. Like how fast is it going to come up? So those three problems we can have one to solve really like really solidly So we call our service is a dear services fail proof tr that's actually takes a little courage to say fail proof. So control shift is our service, which actually does this. The orchestration does mobility across the two different places from could be on prime time on Prem on prompted the cloud. And because we have this into end data services ourselves, the it's easy to then to compliance checks all the time so we could do compliance checks every few minutes. So what that gives you that? Is that the confidence that that your dear plan's going to work for you when you need it? And then secondly, when you push the button because you also prime restoration back up, it's then easy to bring upon your services at once like that, and the last one is that because we are able to then work across the clouds and pride, the seamless experience. So when you move the data to the cloud, have some backups there. When you push a button to fail over, we'LL bring up your services in via MacLeod so that the idea is that it look exactly the same no matter where you are in the D. R or North India and then, you know, you watch the video, watch the demos. I think they look and see that you can tell the difference. >> Well, that's great. So give us a little bit of visibility into how day Truman intends to extend these capabilities, which give us a little visibility in the road map. Next. >> So we are already on Amazon with the cloud. The next time you're gonna be delivering his azure, that's the next step. But But if I step back a little bit and how do we think about our ourselves? Like if you look at his example Google, Google, you know, fairies, all the data and Internet data and prizes that instant search for that instant like an access to all the data you know, at your finger finger tips. So we wanted something similar for enterprise data. How do we Federated? How do we aggregate data and the property? The customer, the instant management they can get from all the data. They have already extract value from the data. So those things are set off application We're building towards organic scum. Examples are we're building, like, deep search. How do you find the things you want to find? You know, I've been a very nice into to weigh. And how do you do Compliance? GPR. And also, how do you think about you know, some dependent addicts on the data? And so we also extend our control shift not to just manage the data on all platforms. Brawls hardly manage data across different platforms. So those kind of things they're thinking about as a future >> excellent stuff is already CTO daydream. Thanks very much for talking to us about auto matrix control shift and the direction that you're taking with this very, very extreme new vision about data on business come more easily be bought together. So, you know, I'll tell you what. Let's take a look at a demo >> in today's enterprise data centers. You want a simple way to deal with your data, whether in the private or public cloud, and ensure that dealing with disaster recovery is easy to set up. Always complied and in sync with the sites they address and ready to run as the situations require built on consistent backups, allowing you to leverage any current or previous recovery point in time with near zero rto as the data does not have to be moved in order to use it. Automated orchestration lets you easily test or execute recovery plans you have constructed with greater confidence, all while monitoring actions and progress from essential resource. This, along with maintaining comprehensive run books of these actions, automatically from the orchestration framework. Managing your Systems Day Tree in autumn matrix provides this solution. Run on local host flash and get the benefits of better performance and lower. Leighton sees back up and protect your data on the same converged platform without extracting it to another system while securing the data in your enterprise with end and encryption automating salas desired for your business needs with policy driven methods. The capture the what, when and where aspects of protecting your data, keeping copies locally or at other sites efficiently Move the data from one location to another weather in your private or public cloud. This is the power of the software defined converged infrastructure with cloudy are from day tree, um, that we call Oughta Matrix. >> Hi. And welcome back to another cube conversation once again on Peter Births. And one of the biggest challenges that every user faces is How did they get Mohr out of their technology suppliers, especially during periods of significant transformation? Soto have that conversation. We've got Brian Bond, who's the director of infrastructure? The meter A seaman's business. Brian, welcome to the Cube. >> Thanks for having me. >> So tell us a little about the meteor and what you do there. >> So E Meter is a developer and supplier of smart grid infrastructure software for enterprise level clients. Utilities, water, power, energy and, ah, my team was charged with managing infrastructure for that entire business units. Everything from Deb Test Q and sales. >> Well, the you know, the intelligent infrastructure as it pertains to electronica rid. That's not a small set of applications of small city use cases. What kinds of pressure is that putting on your infrastructure >> A lot of it is the typical pressures that you would see with do more with less doom or faster. But a lot of it is wrapped around our customers and our our other end users in needing more storage, needing Mohr at performance and needing things delivered faster on a daily basis. Things change, and keeping up with the Joneses gets harder and harder to do as time moves on. >> So as you think about day trims Auto Matrix. How is it creating value for you today? Give us kind of, Ah, peek into what it's doing to alleviate some of these scaling and older and researcher pressures, >> So the first thing it does is it does allow us to do a lot more with less. We get two times the performance five times the capacity, and we spend zero time managing our storage infrastructure. And when I say zero time I mean zero time, we do not manage storage anymore. With the data in product, we can deploy thanks faster. We can recover things faster are Rto and R R P. O matrix is down two seconds instead of minutes or hours, and those types of things really allow us to provide, Ah much better level of service to our customers. >> And it's especially critical. Infrastructure like electronic grid is good to hear. That the Rto Harpo is getting is close to zero as possible. But that's the baseline today. Look out and is you and vision where the needs of these technologies are going for improving protection, consolidating converging gated services and overall, providing a better experience from a business uses data. How do you anticipate that you're goingto evolve your use of autumn matrix and related data from technologies? >> Well, we fully intend to to expand our use of the existing piece that we have. But then this new autumn matrix piece is going to help us, not witches deployments. But it's also going to help us with compliance testing, data recovery, disaster recovery, um, and also being able to deploy into any type of cloud or any type of location without having to change what we do in the back in being able to use one tool across the entire set of the infrastructure they were using. >> So what about the tool set? You're using the whole thing consistently, but what about the tool set when in easiest for you within your shop, >> installing the infrastructure pieces themselves in its entirety. We're very, very easy. So putting that into what we had already and where we were headed was very, very simple. We were able to do that on the fly in production and not have to do a whole lot of changes with the environments that were doing at the time. The the operational pieces within the D. V X, which is this the storage part of the platform were seamless as far as V Center and other tools that we're using went and allowed us to just extend what we were doing already and be able to just apply that as we went forward. And we immediately found that again, we just didn't manage storage anymore. And that wasn't something we were intending and that made our r I just go through the roof. >> So it sounds like time to value for the platform was reserved for quick and also it fit into your overall operational practices. So you have to do a whole bunch of unnatural acts to get >> right. We did not have to change a lot of policies. We didn't have to change a lot of procedures, a lot of sounds. We just shortened. We took a few steps out on a lot of cases. >> So how is it changing being able to do things like that, changing your conversation with your communities that you're serving a CZ? They asked for more stores where they ask for more capabilities. >> First off, it's making me say no, a lot less, and that makes them very, very happy. The answer usually is less. And then the answer to the question of how long will it take changes from? Oh, we can get that done in a couple of days or, oh, we can get that done in a couple hours to I did that while I was sitting here in the meeting with you, and it's it's been handled and you're off to the races. >> So it sounds like you're police in a pretty big bed and a true, uh, what's it like? Working with them is a company. >> It's been a great experience from from the start, in the initial piece of talking to them and going through the POC process. They were very helpful, very knowledgeable SCS on DH, and since then They've been very, very helpful in allowing us to tell them what our needs are, rather than them telling us what our needs are and going through and working through the new processes and the and the new procedures within our environments. They've been very instrumental and performance testing and deployment testing with things, uh, that a lot of other storage providers didn't have any interest in talking with us about so they've been very, very helpful with that and very, very knowledgeable people that air there are actually really smart, which is not surprising. But the fact that they can relay that into solutions to what my actual problems are and give me something that I can push forward on to my business and have ah, positive impact from Day one has been absolutely, without question, one of the better things. >> Well, it's always one of the big, biggest challenge when working with a company that just getting going is how do you get the smarts of that organization into the business outcomes that really succeeded? Sounds like it's working well. Absolutely. All right. Brian Bond, director Vital infrastructure demeanor, Seaman's business Thanks again for being on the Cube >> has been great >> on. Once again, this has been a cube conversation, and now what we'd like to do is don't forget this is your opportunity to participate in the crowd. Chat immediately after this video ends and let's hear your thoughts. What's important in your world is you think about new classes of data platforms, new rules of data, new approaches to taking great advantage of the data assets that air differentiating your business. Have those conversations make those comments? Asked those questions. We're here to help. Once again, Peter Bourjos, Let's go out yet.

>> Live from San Francisco, it's theCUBE covering Google Cloud Next 2018, brought to you by Google Cloud and its ecosystem partners. (techy music) >> Hello everyone, welcome back to theCUBE's live coverage here. We're in San Francisco for Google Cloud's major conference, Next 2018. I'm John Furrier, here for three days. Wall to wall coverage on day one. We've got two great guests from SignalFX, Karthik Rau, founder and CEO, and Rajesh Raman, who's the chief architect. Signal's a hot startup in the area. Way ahead of its time, but now as the world gets more advanced, the solution is front and center as the value proposition if cloud moves into the mainstream, devops going to a world at large scale. Not just networking, monitoring, applications, you've got service meshes booming, great topic. Karthik, great to see you, Rajesh, thanks for joining us. >> Thank you. >> John, great to be on. >> So, first of all let's just get it out of the way, you guys have some fresh funding in May, so just quickly give an update on the company. You guys raised-- >> Yeah >> A series... >> A series D. >> Series D, give us, but how much? >> Yeah, so we raised $45 million from General Catalyst leading the round back in May, been building a ton of momentum as a company, close to a couple hundred people today. We're using a lot of that to expand internationally. We've got a team in Europe now, just opened up a team in Australia. So, things have been going great. >> Congratulations, we've had chats before, always been impressed. You guys have a great stable of awesome engineers and talent in the company doing some great work, but it begs the question, I always like to get into the what ifs. What if I could have large scale application development environments with programmable infrastructure, how does that change things? So, Karthik, what's... How as that what if changes, now that is what's happening you're starting to see the cloud at scale for the common masses of enterprises, where old ways of doing things are kind of moving away. It's like horse and buggy versus having a car for the first time-- >> Yeah. >> Jobs are changing, but the value doesn't necessarily change. You still go from point A to point B, you still got an engine, people who care about fixing cars, so people just want to drive the cloud, some people want to get under the hood, whole new architecture. >> Yeah. >> What's the what if of if I could have all these resources, what's the challenges and what do you guys solve. >> Well, I think there are a couple of challenges in this new environment. One is the number of components are just orders of magnitude more than they used to be in a cloud environment, right? We went from having physical machines that live for three years in a data center, divide it up into VMs 10 years ago, now divided up into containers for every process. Not only that, but these containers get spun up and spun down every few minutes or every few hours, and so it's just the number of components in the churn is just massive. So, that in and of itself requires a far more analytics-based approach to understand patterns rather than what's happening on an individual component. The second thing that's changed is the operating model's fundamentally different, because now you're building and running web services, and when you're running web services the people who build the software are the ones who technically are responsible for operating it. And so, you know, you have more updates, you've got more people involved, you've got lots of different components that all need to interact with one another, and so having a communication framework across all of these disparate teams become really, really, really critical. So, those are the two fundamental changes as you move from, you know, for operating these modern, massively distributed-- >> Yes. >> Applications. >> And I'll just add just some observation data that we've seeing in theCUBE is those same folks building aren't necessarily operators, so they want to be in and out fast, right? (laughs) >> They don't want to be running and operating all the time, they want to push some code. Melody Meckfessel here at Google ran a survey with developers and said, you know, "What makes you happy," and it was two things that bothered developers: technical debt and speed for deployments, commits, and the commit number was around minutes. If you can't get something done in minutes then they're onto something else, so the mind share attention of developers and technicos. So, this is a challenge at scale when you have technical debt, which we've seen companies come out of the woodwork, "Oh, yeah, "I'm going to automate something, "I'm going to throw some compute at it with the cloud "with the best monitoring package on the planet "and look how great it is," but all they did was just code some instrumentation and that's it. >> Mm-hmm. >> They weren't dealing with a lot of moving parts. Now as more things come in this is a challenge that a lot of companies face. You guys kind of solved this problem... >> Yeah, absolutely, so maybe Rajesh was a part of the team at Facebook that built the Facebook monitoring system, and that's actually what gave us a lot of the vision to start SignalFX five-and-a-half years ago, so maybe-- >> Tell about the protection, the vision-- >> Yeah. >> And what you guys are doing. >> Yeah, so CICD, you know, it kind of, like, underlies a lot of this vision of, like, moving fast. You mentioned that people wanted, like, you know, push their code in a few minutes... The thing that makes that possible is for you to have observability into what's happening while that push happens, because it's one thing to push very fast, it's another thing to recognize that you might have pushed something bad and to be able to revert it very quickly, too. And so, you'd only need, like, you know, good observability into all the things that matter that characterize the health of your system to be able to quickly recognize patterns, to be able to quickly recognize anomalies, and to be able to maybe push forward or even roll back very quickly. So, I think, like, observability is like a very key aspect of this entire CICD story. >> That's great, and that's great to know that you were over at Facebook because obviously Facebook built, at scale from the ground up, a lot of opensource. Obviously they contributed a lot to opensource, but it's interesting, as they matured and you start to see their philosophy change. It used to be move fast, break stuff. >> Yeah. >> To move fast, be reliable. >> Yeah. >> This is now the norm that's the table stakes in cloud. You have to move fast, you got to push code, but you got to maintain an operational integrity. This is, like, not like an option. This is, like, standard. >> Absolutely. >> How do you guys help solve that problem? >> So, I think there are a few different aspects to it. So, the first is to, you know, people need to ensure that they have observability into their application, so this is ensuring that you have the right kind of instrumentation in place. Thankfully this is kind of becoming commoditized right now and getting metrics from your system. The second part, and the more key part, is then being able to process this data in a real time way. You know, have high resolution, very low latency, and then to be able to do real time streaming analytics on this data. In highly elastic environments when things come and go very quickly, the identity of any individual, like, component is less important than the aggregate system behavior, and so you really need the analytics capability to kind of, like, go across this data, do various kinds of aggregations, compare it against past data, do predictive analytics, that sort of thing. So, analytics becomes the very key concept of, you know, how you operate these environments. >> It sounds so easy. >> Yeah, well one thing I'll add to that, so you know, to your point a lot of big companies sometimes are scared by this. You know, "How do we," you know... "We can't move quickly and break things," and everything that they've designed is around having process and structure to check and make sure everything is clean before they push changes out, and now we're in this world where, you know, an intern or a developer can push directly on a production, how do you manage that? The key thing in this modern world when you're trying to release software quickly, Rajesh hit on this earlier, you need the magic undo button. >> Yeah. >> That is the key to this entire process. You need to design your software, you need to design your process, and you need to design your tools so that if you introduce something bad you catch it immediately and you can roll it back. So, lots of devops practices are oriented around this, right? The idea of a canary release, I'm going to roll out an update to one percent of my systems and users, test it out, observe all the metrics, make sure everything is clean before I roll it out to everyone else, and the ability to roll back quickly is also important. But in order to do all of this you need the visibility, you need the metrics, and you need to be able to do analytics on it quickly to identify the patterns as they emerge. >> That's a great point and I'd love to just double down on that and get your thoughts because some of the Google Cloud people who are operating at this scale, I put them on this whole service-centric architecture, because they're services. We're talking about services, managing sets of services, having analytics, observation space, the reverting back and the undo button, the magic button do-over, whatever you want to call it, but the interesting thing is clean. Having a clean service whether it's an API, message queue, or an event, this stuff's happening all over the place in the new services world. How do you guys help there, is that where you guys get involved? Do you see up in that layer, how far up are you guys looking at some of the instrumentation and the insights? >> Yeah, you want to take that? >> Yeah, sure, so you know, the one thing that we really like about SignalFX and we were very keen on when we built the platform is that we are very agnostic about metrics. We're happy to accept metrics from anywhere, we'll take instrumentation-- >> (chuckles) You don't discriminate against metrics. >> We'll take instrumentation from cloud environment, we'll take, you know, metrics from opensource systems and premier applications, so you know, some of these systems are already kind of built in to get metrics from. You know, we talk to the Kafkas and Cassandras of the world, for example. We can also talk to GCP and AWS and grab metrics from their system. I think the interesting question is like when people really are taking the devops philosophy of, like, so how do you instrument your own application, what questions do you want to ask from your environment that answer the critical questions that you kind of have, and so you know, that's the one, that's the next step in the hierarchy of needs is for people to ask the right kinds of questions, and you know, instrument their applications properly. But like having done that, we can go up and down the stack in terms of, like, insight into whether all the way from your cloud environment through opensource systems, all the way up-- >> So, you guys'll take data from anyone, just stream it in-- >> Yeah. >> Normal mechanisms there, what's the value added, where's the secret sauce on SignalFX? >> So, I think value, it's all about analytics. We are all about analytics, so we are able to look at patterns of the data, we can go up and down the stack and correlate across different layers of software, look at interactions across components in your microservice, for example. You know, one really interesting thing that's happening, as you might be aware, like the whole service mesh aspect of it, which lets us, gives us insight into interactions between components-- >> Yeah. >> In a microservices architecture, so you know, we are able to get all that data and give you insight into how your whole system is working. >> So, you guys, you can see in the microservices layer? >> Absolutely. >> Yeah. >> That's powerful. >> And the key point is monitoring really has become an analytics problem, that's what we keep saying, right, because what's happening on an individual component is no longer as interesting as what's happening across the entire service, so you have to aggregate the information and look at the trend across the entire service, but the second thing that's really important is you need to be able to do it quickly, and this is where our streaming real time system really mattes. And people might ask, "Why does it "matter to do something real time." Like, "Seconds versus minutes, can a human actually "process something in seconds versus minutes?" Perhaps not, but everyone's moving towards automation, right? >> Yeah. >> So, if you want to move to a system where you have a closed loop, you have automation, and guess what, all of these modern systems, all the stuff that Google's talking here is all about automation. >> Yeah. >> And in that world seconds versus minutes, it means a tremendous amount of difference, right, where if you can find signals that will tell you there's an emerging problem within seconds and then you can revert a bad code push or you can auto-scale a cluster or you can, you know, change your load balancing algorithms all within seconds, that is what enables you to deliver, you know, 4.9s, 5.9s type of availability. >> And the consequences of not having that is outages-- >> Yeah, outages. >> Performance. >> Performance degradations, unhappy customers. I mean the cost to a brand now of having any kind of a performance issue is enormous, right? People are on Twitter before your team knows about it. (chuckles) >> Actually, you guys have a lot of the things you're solving, what is the core problem that you solve, what's the value proposition if you narrow it down that's high order bit for SignalFX? What's the corporate problem you solve? >> Well, we're solving the monitoring and observation problem for people operating cloud applications, so what happens is when you use SignalFX you have the confidence to move quickly, right? It gives you the safety net to be able to deploy changes on a daily basis, to have the shared context across a distributed team, so if you've got hundreds of two pizza box teams working together we give you that framework, the communication framework and the proactive intelligence to find issues as they emerge and proactively address them. And bottom line what that means is you can move as quickly as a Google or a Facebook or a Netflix even if you're a traditional Fortune 500 company that's regulated, and you know, you think you may not be able to do it but you really can. >> You give them the turbo charge, basically, for the analytics. All right, here's a question for you, what are the core guiding principles for the company? You guys obviously have a lot going on so you've got a core tech team, I mentioned it earlier. >> Mm-hmm. >> What are some of the guiding principles as you guys hire, build product, talk to customers, what's the key DNA of SignalFX? >> Yeah, I would say we are a very impact-driven company, so I'm, you know, very, very proud of all the people that we have on the team. We've got a lot of entrepreneurs who are focused on solving big problems, solving problems that customers may not necessarily know they need at the time, but as the market evolves we're there to solve it for them. So, we're a very customer-centric company. We have fantastic, we invest aggressively in technology, so it's not just about wrapping a pretty UI around, you know, Bolton Tech. We have real differentiated technology that solves real problems for people, and you know, I think we've in general just tried to skate to where the puck is and understand where the market's headed as a company. >> What are some of the customer feedback that you're getting? For folks that don't know SignalFX, what are some of the things that you're hearing from customers, why are you winning, what are some of the examples, can you share some color commentary? >> Yeah, I'll give one example, a Fortune 500 company that has been very aggressively investing in cloud the past, you know, four or five years, built an entire digital team, and their entire initiative is, like a lot of people in the Fortune 500 now, is to have a direct-to-consumer type of a relationship, and one of the things that they struggled with early was how do they move quickly, support product launches that might have massive load, and have the visibility to know that they can do that and catch issues as they emerge, and they didn't have a solution that could give that visibility to them until they leveraged SignalFX. And so now, if you talk to people there they'll say that they've essentially gone from defense every time they did one of these product launches to being on offense and really understanding what it takes to successfully launch a product and they're doing way more of these, so-- >> Moving the needle on time to market. >> Moving their business forward, you know, and digital transformation just by-- >> Yeah. >> Having SignalFX as a core enabler. >> It's the cloud version of putting out fires, so to speak, when you do product launches, right? >> Yeah. >> I got to ask you guys a question. You guys are both industry veterans, obviously Facebook has a storied history. We know all the great things that happen on the infrastructure side. Karthik, you've been in VM where you've seen the movie before where VM, where it made the market, changed IT for the better, still talk about the VMwares now. Now as we see cloud taking that next transformational push, describe the wave we're on right now, because it's kind of an interesting time in tech history where the talent that's coming in is pretty amazing. The young guns coming in with opensource the way it's flourishing is pretty phenomenal. Some of the smartest computer science and/or engineering talent is really solving what was old school B2B problems that really no one really wanted to solve. I mean, it was people were buying IT. Now you're talking about building operating systems, so the computer science kind of mojo in the enterprise has upped a bit. >> Mm-hmm. >> What's this wave about, how would you describe the wave of this time in history of the tech industry? >> Do you want to... (laughs) I'll add my take but why don't you go first. >> I think the thing that I find striking is just like, you know, when people used to talk about big data, you know, a few years ago, and now that is like, that's just normal. >> Yeah. >> And like, the amount of compute and the amount of storage that people are able to, you know, bring to command at-- >> Yeah. >> On any problem, it's just incredible, and that's just going to, I think, like continue to grow, right? That's going to be an amazing thing to watch. I think, you know, what this means... It also has interesting implications for, you know, companies like SignalFX who are trying to be in the monitoring space because the mojo used to be you had to have all this complicated software to do the instrumentation. Well, the instrumentations part is easy, but now all the value that's going to come about monitoring is in what you do with all that data, how you analyze it and look for, like, you know, so the whole AI ops and all that is going to be the key of the whole monitoring problem going forward, you know, five, 10 years from now, but we already see that analytics is such a key aspect of the whole thing, so... >> Yeah, I'm very, I think we're at the beginning, still at the beginning of a massive 30 to 40 year cycle, and this hasn't happened since the PC revolution in the 1970s, right, so the smartphone comes out 2007, massively opens up the market for software-based services to several billion people who are connected all the time now, drives a massive refresh of the backend infrastructure, drives the adoption of opensource, and so we're at this magical point now where the market for software-based services is just exploding, and every enterprise, you know, is becoming a software company, and you know, I think the volume of data that we're accumulating is just growing exponentially and what you can do with AI at this point, it's just... We're just beginning to see the benefit of it, so I think this is a really, really exciting time and I think we're just at the beginning. Most of the enterprises, and even the tech companies, are just beginning to capitalize on what is in store for us in the industry. >> I find it to be intoxicating, fun, and just great people coming in. To your point about the beginning of a 40 year run, also the nature of software development is being modernized at an extremely accelerated pace, so as people in the enterprise start re-imagining how they do software, because if they're a software company they've never had product managers. I mean, so the notion of what is a product, how do you launch a product, is all kind of first generation problems and opportunities, so I think to me it's really the enablement... And this is really what I think people are looking for is who can take the burden off my shoulders, help me move faster, more gas, less brake. >> Mm-hmm. >> Go faster, drive value, and then ultimately compete, because competitive advantage with technology... What does that mean to you guys, because how do you react to that because what you essentially are doing is creating instrumentation for enabling companies to create new value faster with technology and software, in some cases at a level that they've never seen before. What do you, how do you react to that? >> Well, I think that's exactly what we do, right, I mean, every company, I think most companies realized that they had to invest in software and focus on all these new opportunities at the early part of this decade. First thing they had to do was figure out who's going to build all this software, so most of them had to go hire engineers or build digital teams. They had to decide where are they going to run, the cloud wars of, you know, the early part of this decade. Do we build a private cloud, do we use a public cloud, I think both of those things have happened and people are now comfortable with those decisions. The third leg, which is squarely in the space that we're in, which is how do you operationalize this new model, and I think people are working through that now. As they get through that in the next few years, the companies like SignalFX helping every company, operationalize it very quickly, I think that's when the true promise of this new digital era will be realized where you'll start to see all of these fantastic applications, mobile apps, web service apps, direct-to-consumer streamlined supply chains. We're just beginning to see the benefit of that, and we'll see when that happens then the volume of data that they're collecting will increase exponentially and then the promise of machine learning and AI will take an altogether nother step. >> You got to know how to automate it before you can automate it, basically. What's next, final question for you guys, what's going on with SignalFX, what are you guys going to conquer, what's the next major milestones for you guys, what are you looking to do? >> Yeah, well we're continuing to focus on driving value for our customers, so we're expanding our geographic presence, so we're doing a lot of international expansion at this point. We're hiring a lot of engineers, so if anyone is interested in a development job, reach out to us. >> What kind of engineers are you looking to hire? >> Rajesh, you want to take that, sorry. (chuckles) What kind of engineers... >> What kind of engineers you looking to hire? >> Everything. (chuckles) >> I mean, all kinds of engineers, especially distributed systems engineers, front end engineers, full stack engineers, like real tech, all the good engineers we can get. >> (chuckles) Awesome. >> A lot of product development, there's a lot of interesting things happening in this space, and so we're, you know, continuing to invest very aggressively. >> Large scale distributed systems. >> Yep. >> You've got decentralized right around the corner, so you've got a lot of stuff happening. >> Yeah. >> Yeah. >> Great job to have you coming on, thanks for coming on, Karthik. >> Great, great to be on. >> Rajesh, thank you so much. >> My pleasure. >> SignalFX here in the cloud of Google here at Next, it's theCUBE, theCUBE cloud, CUBE data, we're bringing it all to you. I'm John Furrier, thanks for watching. More coverage, stay with us, we'll be back after this short break. (techy music)