>>Hey everyone, welcome to the cube. Lisa Martin here with Kevin Depu, senior Director Future Server Architecture at hpe. Kevin, it's great to have you on the program. You're gonna be breaking down everything that's exciting and compelling about Gen 11. How are you today? >>Thanks Lisa, and I'm doing great. >>Good, good, good. So let's talk about ProLiant Gen 11, the next generation of compute. I read some great stats on hpe.com. I saw that Gen 11 added 28 new world records while delivering up to 99% higher performance and 43% more energy efficiency than the previous version. That's amazing. Talk to me about Gen 11. What makes this update so compelling? >>Well, you talked about some of the stats regarding the performance and the power efficiency, and those are excellent. We partnered with amd, we've got excellent performance on these platforms. We have excellent power efficiency, but the advantage of this platform go beyond that. Today we're gonna talk a lot about cybersecurity and we've got a lot of security capabilities in these platforms. We've built on top of the security capabilities that we've had, generation over generation, we've got some new exciting capabilities we'll be talking about. So whether it's the performance, whether it's power efficient, whether it's security, all those capabilities are in this platform. Security is part of our dna. We put it into the design from the very beginning, and we've partnered with AMD to deliver what we think is a very compelling story. >>The security piece is absolutely critical. The to, we could have a, you know, an entire separate conversation on the cybersecurity landscape and the changes there. But one of the things I also noticed in the material on Gen 11 is that HPE says it's fundamental. What do you mean by that and what's new that makes it so fundamental? >>Well, by saying it's fundamental is security is a fundamental part of the platform. You need systems that are reliable. You need systems that have excellent performance. You need systems that are, have very good power efficiency, those things you talked about before, those are all very important to have a good server, but security's a part that's absolutely critical as well. So security is one of the fundamental capabilities of the platform. I had mentioned. We built on top of capabilities, capabilities like our silicon root of trust, which ensures that the firmware stack on these platforms is not compromised. Those are continuing this platform and have been expanded on. We have our trusted supply chain and we've expanded on that as well. We have a lot of security capabilities, our platform certificates, our IEB IDs. There's just a lot of security capabilities that are absolutely fundamental to these being a good solution because as we said, security is fundamental. It's an absolutely critical part of these platforms. >>Absolutely. For companies in every industry. I wanna talk a little bit about about one of the other things that HPE describes Gen 11 as as being uncompromising. And I wanted to understand what that means and what's the value add in it for customers? >>Yeah. Well, by uncompromising means we can't compromise on security. Security to what I said before, it's fundamental. It can't be promised. You have to have security be strong on these platforms. So one of the capabilities, which we're specifically talking about when we talk about Uncompromising is a capability called spdm. We've extended our silicon root of trust, which is one of our key technologies we've had since our Gen 10 platforms. We've extended that through something called spdm. We saw a problem in the industry with the ability to authenticate option cards and other devices in the system. Silicon Root of Trust verified many pieces of firmware in the platform, but one piece that it wasn't verifying was the option cards. And we needed, we knew we needed to solve this problem and we knew we couldn't do it a hundred percent on our own because we needed to work with our partners, whether it's a storage option card, a nick, or even devices in the future, we needed to make sure that we could verify that those were what they were meant to be. >>They weren't compromised, they weren't maliciously compromised and that we could authenticate them. So we worked with industry standards bodies to create the S P M specification. And what that allows us to do is authenticate the option cards in the systems. So that's one of our new capabilities that we've added in these platforms. So we've gone beyond securing all of the things that Silicon Real Trust secured in the past to extending that to the option cards and their firmware as well. So when we boot up one of these platforms, when we hand off to the OS and to the the customers software solution, they can be, they can rest assured that all the things that have run all that, that platform is not compromised. A bad guy has not gone in and changed things and that includes a bad guy with physical access to the platform. So that's why we have unpromised security in these platforms. >>Outstanding. That sounds like great work that's been done there and giving customers that piece of mind where security is concerned is table stakes for everybody across the organization. Kevin, you mentioned partners. I know HPE is extending protection to the partner ecosystem. I wanted to get a little bit more info on that from you. >>Yeah, we've worked with our option co card vendors, numerous partners across the industry to support spdm. We were the ones who kind of went to the, the industry standards bodies and said, we need to solve this problem. And we had agreement from everybody. Everybody agrees this is a problem that had to be solved. So, but to solve it, you've gotta have a partnership. We can't just do it on our own. There's a lot of things that we HPE can solve on our own. This is not one of them to be able to get a method that we could authenticate and trust the option cards in the system. We needed to work with our option card vendors. So that's something that we, we did. And we use also some capabilities that we work with some of our processor vendor partners as well. So working with partners across the industry, we were able to deliver spdm. >>So we know that option card, whether it's a storage card or a Nick Card or, or GPUs in the future, those, those may not be there from day one, but we know that those option cards are what they intended because you could do an attack where you compromise the option card, you compromise the firmware in that option card and option cards have the ability to read and write to memory using something called dma. And if those cards are running firmware that's being created by a bad guy, they can do a lot of, of very costly attacks. I mean we, there's a lot of statistics that showed just how, how costly cybersecurity attacks are. If option cards have been compromised, you can do some really bad things. So this is how we can trust those option cards. And we had to partner with those, those partners in the industry to both define the spec and both sides had to implement to that specification so that we could deliver the solution we're delivering. >>HPE is such a strong partner ecosystem. You did a great job of articulating the value in this for customers. From a security perspective, I know that you're also doing a lot of collaboration and work with amd. Talk to me a little bit about that and the value in it for your joint customers. >>Yeah, absolutely. AMD is a longstanding partner. We actually started working with AMD about 20 years ago when we delivered our first AMD opton based platform, the HP pro, HP Pliant, DL 5 85. So we've got a long engineering relationship with AMD and we've been making products with AMD since they introduced their epic generation processor in 2017. That's when AMD really upped the secure their security game. They created capabilities with their AMD secure processor, their secure encryption virtualization, their memory encryption technologies. And we work with AMD long before platforms actually release. So they come to us with their ideas, their designs, we collaborate with them on things we think are valuable when we see areas where they can do things better, we provide feedback. So we really have a partnership to make these processors better. And it's not something where we just work with them for a short amount of time and deliver a product. >>We're working with them for years before those products come out. So that partnership allows both parties to create better platforms cuz we understand what they're capable of, they understand what our needs are as a, as a server provider. And so we help them make their processors better and they help us make our products better. And that extends in all areas, whether it's performance, power, efficiency, but very importantly in what we're talking about here, security. So they have got an excellent security story with all of their technologies. Again, memory encryption. They, they've got some exceptional technologies there. All their secure encryption, virtualization to secure virtualized environments, those are all things that they excel at. And we take advantage of those in our designs. We make sure that those so work with our servers as part of a solution >>Sounds like a very deeply technically integrated and longstanding relationship that's really symbiotic for both sides. I wanted to get some information from you on HPE server security optimized service. Talk to me about what that is. How does that help HP help its customers get around some of those supply chain challenges that are persistent? >>Yeah, what that is is with our previous generation of products, we announced something called our HPE trusted supply chain and but that was focused on the US market with the solution for gen 11. We've expanded that to other markets. It's, it's available from factories other than the ones in our us it's available for shipping products to other geographies. So what that really was is taking the HPE trusted supply chain and expanding it to additional geographies throughout the world, which provides a big, big benefit for our non-US based customers. And what that is, is we're trying to make sure that the server that we ship out of our factories is indeed exactly what that customer is getting. So try to prevent any possibility of attack in the supply chain going from our factories to the customer. And if there is an attack, we can detect it and the customer knows about it. >>So they won't deploy a system that's been compromised cuz there, there have been high profile cases of supply chain attacks. We don't want to have that with our, our customers buying our Reliant products. So we do things like enable you I Secure Boot, which is an ability to authenticate the, what's called a u i option ROM driver on option cards. That's enabled by default. Normally that's not enabled by default. We enable our high security mode in our ILO product. We include our intrusion tech detection technology option, which is an optional feature, but it's their standard when you buy one of the boxes with this, this capability, this trusted supply chain capability. So there's a lot of capabilities that get enabled at the factory. We also enable server configuration lock, which allows a customer to detect, get a bad guy, modify anything in the platform when it transits from our factory to them. So what it allows a customer to do is get that platform and know that it is indeed what it is intended to be and that it hasn't been attacked and we've now expanded that to many geographies throughout the world. >>Excellent. So much more coverage across the world, which is so incredibly important. As cyber attacks continue to rise year over year, the the ransomware becomes a household word, the ransoms get even more expensive, especially considering the cybersecurity skills gap. I'm just wondering what are some of the, the ways in which everything that you've described with Gen 11 and the HPE partner ecosystem with A and B for example, how does that help customers to get around that security skills gap that is present? >>Well, the key thing there is we care about our customer security. So as I mentioned, security is in our dna. We do, we consider security in everything. We do every update to firm where we make, when we do the hardware design, whatever we're doing, we're always considering what could a bad guy do? What could a bad guy take advantage of and attempt to prevent it. And AMD does the same thing. You can look at all the technologies they have in their AMD processor. They're, they're making sure their processor is secure. We're making sure our platform is secure so the customer doesn't have to worry about it. So that's something the customer can trust us. They can trust the amd so they know that that's not the area where they, they have to expend their bandwidth. They can extend their bandwidth on the security on other parts of the, the solution versus knowing that the platform and the CPU is secure. >>And beyond that, we create features and capabilities that they can take advantage of in the, in the case of amd, a lot of their capabilities are things that the software stack and the OS can take advantage of. We have capabilities on the client side that the software and that they can take advantage of, whether it's server configuration lock or whatever. We try to create features that are easy for them to use to make their environments more secure. So we're making things that can trust the platform, they can trust the processor, they don't have to worry about that. And then we have features and capabilities that lets them solve some of the problems easier. So we're, we're trying to, to help them with that skills gap by making certain things easier and making certain things that they don't even have to worry about. >>Right. It sounds like allowing them to be much more strategic about the security skills that they do have. My last question for you, Kevin, is Gen 11 available now? Where can folks go to get their hands on it? >>So Gen 11 was announced earlier this month. The products will actually be shipping before the end of this year, before the end of 2022. And you can go to our website and find all about our compute security. So it all that information's available on our website. >>Awesome. Kevin, it's been a pleasure talking to you, unpacking Gen 11, the value in it, why security is fundamental to the uncompromising nature with which HPE and partners have really updated the system and the rest of world coverage that you guys are enabling. We appreciate your insights on your time, Kevin. >>Thank you very much, Lisa. Appreciate >>It. And we want to let you and the audience know, check out hpe.com/info/compute for more info on 11. Thanks for watching.

>>Okay, welcome back everyone. This is the Cube's coverage here in Las Vegas. Back at events re Mars, Amazon re Mars. I'm your host, John fur with the cube. Mars stands for machine learning, automation, robotics, and space. It's great event brings together a lot of the industrial space machine learning and all the new changes in scaling up from going on the moon to, you know, doing great machine learning. And we've got two great guests here with kinda called lunar outpost, Justin Sears, CEO, Lauren, man. He's the co-founder and chief strategy officer lunar outpost. They're right next to us, watching their booth. Love the name, gentlemen. Welcome to the cube. >>Yeah. Thanks for having us, John. >>All right. So lunar outpost, I get the clues here. Tell us what you guys do. Start with that. >>Absolutely. So lunar outpost, we're a company based outta Colorado that has two missions headed to the moon over the course of the next 24 months. We're currently operating on Mars, which forest will tell you a little bit more about here in a second. And we're really pushing out towards expanding the infrastructure on the lunar surface. And then we're gonna utilize that to provide sustainable access to other planetary bodies. >>All right, far as teeing it up for you. Go, how cool is this? We don't, we wanna use every minute. What's the lunar surface look like? What's the infrastructure roads. You gonna pave it down. You what's going on. Well, >>Where we're going. No one has ever been. So, um, our first mission is going to Shackleton connecting Ridge on the south pole, the moon, and that's ripe to add infrastructure such as landing pads and other things. But our first Rover will be primarily driving across the surface, uh, exploring, uh, what the material looks like, prospecting for resources and testing new technologies. >>And you have a lot of technology involved. You're getting data in, you're just doing surveillance. What's the tech involved there. >>Yeah. So the primary technology that we're demonstrating is a 4g network for NOK. Um, we're providing them mobility services, which is basically like the old Verizon commercial. Can you hear me now? Uh, where the Rover drives farther and farther away from the Lander to test their signal strength, and then we're gonna have some other payloads ride sharing along with us for the ride >>Reminds me the old days of wifi. We used to call it war drive and you go around and try to find someone's wifi hotspot <laugh> inside the thing, but no, this is kind of cool. It brings up the whole thing. Now on lunar outpost, how big is the company? What's how what's to some of the stats heres some of the stats. >>Absolutely. So lunar outpost, 58 people, uh, growing quite quickly on track to double. So any of you watching, you want a job, please apply <laugh>. But with lunar outpost, uh, very similar to how launch companies provide people access to different parts of space. Lunar outpost provides people access to different spots on planetary bodies, whether it's the moon, Mars or beyond. So that's really where we're starting. >>So it's kinda like a managed service for all kinds of space utilities. If you kind of think about it, you're gonna provide services. Yeah, >>Absolutely. Yeah. It, it's definitely starting there and, and we're pushing towards building that infrastructure and that long term vision of utilizing space resources. But I can talk about that a little bit more here in a sec. >>Let's get into that. Let's talk about Mars first. You guys said what's going on with >>Mars. Absolutely. >>Yeah. So right now, uh, lunar outpost is part of the science team for, uh, Moxi, which is an instrument on the perseverance Rover. Yeah. Moxi is the first demonstration of space resource utilization on another planet. And what space resource utilization is basically taking resources on another planet, turning them into something useful. What Moxi does is it takes the CO2 from the atmosphere of Mars and atmosphere of Mars is mostly CO2 and it uses a process called solid oxide electrolysis to basically strip oxygen off of that CO2 to produce oh two and carbon monoxide. >>So it's what you need to self sustain on the surface. >>Exactly. It's not just sustaining, um, the astronauts, but also for producing oxygen for propellant. So it'll actually produce, um, it's a, it's a technology that'll produce a propellant for return rockets, um, to come back for Mars. So >>This is the real wildcard and all this, this, this exploration is how fast can the discoveries invent the new science to provide the life and the habitat on the surface. And that seems to be the real focus in the, in the conversations I heard on the keynote as well, get the infrastructure up so you can kinda land and, and we'll pull back and forth. Um, where are we on progress? You guys have the peg from one zero to 10, 10 being we're going, my grandmother's going, everyone's going to zero. Nothing's moving. >>We're making pretty rapid >>Progress. A three six, >>You know, I'll, I'll put it on an eight, John an >>Eight, I'll put it on >>Eight. This is why the mission force was just talking about that's launching within the next 12 months. This is no longer 10 years out. This is no longer 20 years away, 12 months. And then we have mission two shortly after, and that's just the beginning. We have over a dozen Landers that are headed to line surface this decade alone and heavy lift Landers and launchers, uh, start going to the moon and coming back by 2025. >>So, and you guys are from Colorado. You mentioned before you came on camera, right with the swap offices. So you got some space in Colorado, then the rovers to move around. You get, you get weird looks when people drive by and see the space gear. >>Oh yeah, definitely. So we have, um, you know, we have our facility in golden and our Nevada Colorado, and we'll take the vehicles out for strolls and you'll see construction workers, building stuff, and looking over and saying, what's >>Good place to work too. So you're, you're hiring great. You're doubling on the business model side. I can see a lot of demand. It's cheaper to launch stuff now in space. Is there becoming any rules of engagement relative to space? I don't wanna say verified, but like, you know, yet somehow get to the point where, I mean, I could launch a satellite, I could launch something for a couple hundred grand that might interfere with something legitimate. Do you see that on the radar because you guys are having ease of use so smaller, faster, cheaper to get out there. Now you gotta refine the infrastructure, get the services going. Is there threats from just random launches? >>It's a, it's a really interesting question. I mean, current state of the art people who have put rovers on other planetary bodies, you're talking like $3 billion, uh, for the March perseverance Rover. So historically there hasn't been that threat, but when you start talking about lowering the cost and the access to some of these different locations, I do think we'll get to the point where there might be folks that interfere with large scale operations. And that's something that's not very well defined in international law and something you won't really probably get any of the major space powers to agree to. So it's gonna be up to commercial companies to operate responsibly so we can make that space sustainable. And if there is a bad actor, I think it they'll weed themselves out over time. >>Yeah. It's gonna be of self govern, I think in the short term. Good point. Yeah. What about the technology? Where are we in the technology? What are some of the big, uh, challenges that we're overcoming now and what's that next 20 M stare in terms of the next milestone? Yeah, a tech perspective. >>Yeah. So the big technology technological hurdle that has been identified by many is the ability to survive the LUN night. Um, it gets exceptionally cold, uh, when the sun on the moon and that happens every 14 days for another, for, you know, for 14 days. So these long, cold lunar nights, uh, can destroy circuit boards and batteries and different components. So lunar outpost has invested in developing thermal technologies to overcome this, um, both in our offices, in the United States, but we also have opened a new office in, uh, Luxembourg in Europe. That's focusing specifically on thermal technologies to survive the lunar night, not just for rovers, but all sorts of space assets. >>Yeah. Huge. That's a hardware, you know, five, nine kind of like meantime between failure conversation, right. >><laugh> and it's, it gets fun, right? Because you talk five nines and it's such like, uh, you know, ingrained part of the aerospace community. But what we're pitching is we can send a dozen rovers for the cost of one of these historical rovers. So even if 25% of 'em fail, you still have eight rovers for the cost of one of the old rovers. And that's just the, economy's a scale. >>I saw James Hamilton here walking around. He's one of the legendary Amazonians who built out the data center. You might come by the cube. That's just like what they did with servers. Hey, if one breaks throw it away. Yeah. Why buy the big mainframe? Yeah. That's the new model. All right. So now about, uh, space space, that's a not space space, but like room to move around when you start getting some of these habitats going, um, how does space factor into the size of the location? Um, cuz you got the, to live there, solve some of the thermal problems. How do I live on space? I gotta have, you know, how many people gonna be there? What's your forecast? You think from a mission standpoint where there'll be dozens of people or is it still gonna be small teams? >>Yeah. >>Uh, what's that look like? >>I mean you >>Can guess it's okay. >>I mean, my vision's thousands of people. Yep. Uh, living and working in space because it's gonna be, especially the moon I think is a destination that's gonna grow, uh, for tourism. There's an insane drive from people to go visit a new destination. And the moon is one of the most unique experiences you could imagine. Yep. Um, in the near term for Artis, we're gonna start by supporting the Artis astronauts, which are gonna be small crews of astronauts. Um, you know, two to six in the near term. >>And to answer your question, uh, you know, in a different way, the habitat that we're actually gonna build, it's gonna take dozens of these robotic systems to build and maintain over time. And when we're actually talking, timelines, force talks, thousands of people living and working in space, I think that's gonna happen within the next 10 to 15 years. The first few folks are gonna be on the moon by 2025. And we're pushing towards having dozens of people living and working in space and by 2030. >>Yeah. I think it's an awesome goal. And I think it's doable question I'll have for you is the role of software in all this. I had a conversation with, uh, space nerd and we were talking and, and I said open sources everywhere now in the software. Yeah. How do you repair in space? Does you know, you don't want to have a firmware be down. So send down backhoe back to the United States. The us, wait a minute, it's the planet. I gotta go back to earth. Yeah. To get apart. So how does break fix work in space? How, how do you guys see that problem? >>So this one's actually quite fun. I mean, currently we don't have astronauts that can pick up a or change a tire. Uh, so you have to make robots that are really reliable, right. That can continuously operate for years at a time. But when you're talking about long-term repairs, there's some really cool ideas and concepts about standardization of some of these parts, you know, just like Lu knots on your car, right? Yeah. If everyone has the same Lu knots on their wheel, great. Now I can go change it out. I can switch off different parts that are available on the line surface. So I think we're moving towards, uh, that in the long >>Term you guys got a great company. Love the mission. Final question for both of you is I noticed that there's a huge community development around Mars, living on Mars, living on the moon. I mean, there's not a chat group that clubhouse app used, used to be around just kind of dying. But now it's when the Twitter spaces Reddit, you name it, there's a fanatical fan base that loves to talk about an engineer and kind of a collective intelligence, not, may not be official engineering, but they just love to talk about it. So there's a huge fan base for space. How does someone get involved if they really want to dive in and then how do you nurture that audience? How does that, is it developing? What's your take on this whole movement? It's it's beyond just being interested. It's it's become, I won't say cult-like but it's been, there's very, a lot of people in young people interested in space. >>Yeah. >>Yeah. There's, there's a whole, lots of places to get involved. There's, you know, societies, right? Like the Mar society there's technical committees, um, there's, you know, even potentially learning about these, you know, taking a space, resources master program and getting into the field and, and joining the company. So, um, we really, uh, thrive on that energy from the community and it really helps press us forward. And we hope to, uh, have a way to take everyone with us on the mission. And so stay tuned, follow our website. We'll be announcing some of that stuff soon. >>Awesome. And just one last, uh, quick pitch for you, John, I'll leave you with one thought. There are two things that space has an infinite amount of the first is power and the second is resources. And if we can find a way to access either of those, we can fundamentally change the way humanity operates. Yeah. So when you're talking about living on Mars long term, we're gonna need to access the resource from Mars. And then long term, once we get the transportation infrastructure in place, we can start bringing those resources back here to earth. So of course there are gonna be those people that sign up for that first mission out to Mars with SpaceX. But, uh, we'd love for folks to join on with us at lunar outpost and be a part of that kind of next leap accessing those resources. >>I love the mission, as always said, once in the cube, everything in star Trek will be invented someday. <laugh>, we're almost there except for the, the, uh, the transporter room. We don't have that done yet, but almost soon be there. All right. Well, thanks for coming. I, I really appreciate Justin for us for sharing. Great story. Final minute. Give a plug for the company. What are you guys looking for? You said hiring. Yep. Anything else you'd like to share? Put a plug in for lunar outpost. >>Absolutely. So we're hiring across the board, aerospace engineering, robotics engineering, sales marketing. Doesn't really matter. Uh, we're doubling as a company currently around 58 people, as we said, and we're looking for the top people that want to make an impact in aerospace. This is truly a unique moment. First time we've ever had continuous reliable operations. First time NASA is pushing really hard on the public private partnerships for commercial companies like ours to go out and create this sustainable presence on the moon. So whether you wanna work with us, our partner with us, we'd be excited to talk to you and, uh, yeah. Please contact us at info. Lunar outpost.com. >>We'll certainly follow up. Thanks for coming. I love the mission we're behind you and everyone else is too. You can see the energy it's gonna happen. It's the cube coverage from re Mars new actions happening in space on the ground, in the, on the moon you name it's happening right here in Vegas. I'm John furrier. Thanks for watching.

>>from around the globe. It's the Cube with digital coverage of next level network experience event brought to you by info blocks. >>Welcome back to our coverage. The Cube. I'm John Furrier, your host. We're here with a virtual event with info blocks on next level networking. It's a virtual event hosted with the Cube of great guests Kenya Asuni, who is the EVP of products and corporate development with info blocks today. Thank you for coming on. Appreciate it. You guys are the theme of this is next level networking, which I love. Next level, it really kind of illustrates we are going to the next level with Cove in 19. We're seeing it everywhere security DNS topic that most people aren't familiar with. An i t. You know all about it. You guys are leading and reinventing d I for the folks that I want to know what that is. It's DNS de HCP and I p address management for the hybrid cloud and borderless enterprise, which is basically everything. Now, um, this is super super important. As we see every single company living this right now, which is workforce is working from home workplaces that are transforming the surface area is huge. You still got to connect to the Internet. You still need to go to a website and you still do. E commerce needs to run your business. This is a huge, huge problem that's been highlighted. Secure access there you guys are in the forefront for next gen or networking. Tell us what you define as next level. >>So, John, I think one of the things you'll see is if you, if you look at the train, is happening in our business, that is, there's an increasing adoption of SAS services, whether it's infrastructures of service being consumed from AWS, azure, Google or all the idea applications moving into SAS, you're already seeing a shift away from this data center. Being the center of the university in the Enterprise, I t infrastructure to more of a cloud edge world where a lot of the applications now sit in the cloud some in your private cloud still but a lot in the public cloud. And then you have your enterprise edge from where you want to get to these applications directly instead of back calling all the traffic into your traditional data center. We're also seeing a big push into the number of devices coming into the infrastructure, whether it be by Odie Iot G five GS or more devices coming into the infrastructure. As you said, that perimeter and the surface area of the enterprise has exploded. So you have to You have to start to think about security from a different standpoint. So all of these trends are starting to play out in the market. I think what you're going to see is over the next couple of years that the the network inside the Enterprise is gonna look very different from ordered yesterday. Today, everything gets back to the data center, and that's where all the action's. I think what you're going to see is a big shift towards what we call a hybrid multi cloud enterprise, where you may have some workloads sitting in your data center. Some workloads sitting in public clouds, some in your private cloud, and then you want the ability to move these workloads around and you're utilizing everything all your applications. You're actually continue rising all your applications, and you want all this stuff to move around so it poses a very interesting challenge. And that's why we say you need a next level network experience to deal with all the changes that you, their enterprises, are going to it. >>That's a great point. This is our top story that we've been reporting for a long time but rose recently with code 19. This notion of multiple networks, multiple environments, multiple clouds. Certainly hybrid cloud has been ratified. Everyone pretty much acknowledges that cloud operations on premises to the cloud of their. But you got to still move packets from A to B moving around, and now you're storing them and all kinds of things are happening. But I want to get your thoughts on a trend that even makes what you just said even more complex because the complexity is crazy. Right now, there's a trend of managed services. Cloud explosion comes on. You mentioned SAS more coming or deploying a managed services, sometimes multi tenant, sometimes pure instances in the cloud or on premises and data center that's causing access. I still want to integrate that into a Web presence. So, you know, I gotta integrate all these things. It's not that easy. Now. Again, DNS has been a big part of the Web presence But now you have a new dimension of hosted applications. You have managed services that that are easy to stand up. But now I gotta integrate them. This is one of the hardest challenge is that we're here, and I want to get your thoughts in reaction to that. Yeah, >>and I think Google has certainly accelerated the shift that we talked about. So I think a good point there in terms of your school reacting is there is a big accelerant in terms of the shift of the cloud. I think one of the the key role that we play as the enterprise gets much more dynamic is you need three elements you need the element to be to get visibility into everything that's going on in your cluster, you need to provide a layer of security of foundational security in your infrastructure and you need automation because then you have workloads moving around. You need to automate all your idea. Simple flows around allocating. I p address system is VMS or containers on moving as containers. Moving our retaining I P addresses assigning your i P addresses managing DNS records for them. So the work we do that dd I there really becomes the life blood of how this hybrid multi cloud enterprise comes along. And as you get to a much more distributed I T infrastructure, you are not going to be able to manage this entire infrastructure yourself the traditional. So if you have an enterprise idea administrator, you cannot sit there and say, Look, I'm gonna do the traditional model of deploying software on premise or appliances on premise, and I love my guys going out there and managing the administration of that software every six months after do a software upgrade and I'll do all that. What you need, because the enterprise has become so distributed in dynamic, is you need a cloud managed or a managed services. In either case, basically, what you see what you're looking at is a centralized management more and the ability to spin up and down the services Dynamically. We are strong believers in sass or a cloud managed approach and a cloud native architecture being the right architecture for the next level network. And that is something from a delivery standpoint and MSP can use. A managed service provider can leverage this flower manage architecture that we have to offer the services to enterprise customers and take away the whole headache off, managing and administering their own infrastructure. >>I like how you said dd I layer because there's an abstraction you can create the take away that complexity that was pretty straight forward. The best yet. DNS dhc p I p I p addresses. Okay, you manage those cases? No problem Naming whatnot. Now. You have a dynamic environment. That's key. I want to get back to and follow up what you said about the I t folks, your customers in the Enterprise. They're sitting there saying, Hey, I'm used to the on premises world and I have cloud What's the difference in your mind between on premises and cloud managed d D I and why does it matter? >>Look, I think in the traditional world, all the i t infrastructure it again was sitting in one or more regional or or regional or centralized data centers and that it was easy to manage. You could appliances from info blocks and now and it was easy. You had the folks sitting in these data centers and they could manage the entire infrastructure using someone premise management tools and things of that nature. But now I think about it. If you're if you're Walmart and you have 4500 stores right now, if you want to push DNS d A T v i p address management software into all these 5500 locations, it is very difficult to do that by deploying individual appliances or by deploying sort of shrink wrap software that has to sit in every every one of these locations. It's just from an idea administration standpoint. It's a it's a much heavier lift. But if I could take all the management and all the policy management that the policy framework and pull that up into a SAS lower that you can access from anywhere on the planet and I'll leave the protocol serving engines, if you will, on premise. So you have a container that gets spun up that can sit on any third party hardware that's sitting at your infrastructure. But it is all managed through the cloud it zero touch provisioning Andi, completely orchestrator. Now you're sitting at us at a central dashboard, and if you're in a corporate environment, you're sitting at home and just accessing our SAS service and managing your entire infrastructure from from from your from your home from your our checked at your home. Right? So it just becomes so much easier for idea administrators to operate. And I >>have so much free time on their hands to be the Watches virtual event. So be fun. There certainly >>do Stash stash. That's a great >>point. I want to get your thoughts because I like how you know I love the term next level. Anything going, the next level has been something that you talk about, whether you're a technical person and an entrepreneur or a business person. Let's go the next level. It means go the next level. But you add the word experience in there, and I want to get your thoughts on that because it is about the user experience. What >>do you >>guys do to provide that what info blocks provide specifically to provide that next level experience? >>Yeah, that's a great question. We are formed believers again that the future of networking and security in I T. Is going to shift to a cloud managed cloud native paradigm, which means you should be able to just like the hyper skaters. AWS is the Googles and Amazons of the world, right? If you look at how they build out their cloud infrastructure, it's all about separating the infrastructure layers of the compute layer from the applications that sit on top of them. So the compute nodes can scale at a difference at a different pace from that from the applications. That same mindset needs to come into into managing networking and security services as well. So if you have 1000 different educations, lets you can decide through a centralized policy framework what services you want to spin up a lease 1000 locations. Today you would have to buy a box, a small medium large box from info blocks or any one of the networking guys out there, and you would have to deploy that. And most likely, you will end up over provisioning each site because you don't want to run out of capacity. The next level experience would say, Just tell me what side you're deploying. The sites will call home. They will download the number of services needed based on some centralized policy that was defined, and you would get a right size deployment off services at that particular site. You need more services because, say, the user profile, that the profile of the users at that site change, which means you need to spend a Let's, say, a couple of additional security services. Well, that gets automatically imported from the cloud and gets incense created in that particular site. If you need more capacity because it's end of the quarter and you're doing a whole bunch of peer some financial contractions for closing the books, you need more capacity for some of the security applications. Those additional containers with those security applications can can get spun up, so you're starting to scale out as you need and scale back when you don't need the capacity. But this whole thing becomes a very dynamic experience in terms of how services get spun up. They get on down, and it's all driven by. There's this whole notion off the users that are sitting in a location, the context of the users of what devices they're trying to access these applications from what, what is the time of the day? How is the security profile of that device you bring all that know how into the house services get provisioned and how services get operationalized at any particular site in any particular enterprise. Rights are very simple experience when it comes to networking and security, and how do you deploy it at scale? >>And the thing that that sets up is what you're saying really about automation, because once you're in this mode in this experience, the environment lends itself well to automation because it is downloading the right services you need. But since it's dynamic and it needs to be ready, how does automation fit into that piece? >>Absolutely, if you disaster management is already automated for you now if you want to drive further automation and orchestration through integration with your Dev ops, SEC ops, Net ops tools, we have public FBI's through which this this can be driven. There's two ways to manage this right. We have a Cloud Services portals. If somebody wanted to go in and leverage our porter to manage their infrastructure, they can't do that. If they wanted this to be completely programmatic and driven through their their dev ops SEC ops tools, then through the public AP guys, we will tightly integrated into all the tools they have, whether it's sensible data forms some of the Dev ops tools or on the security side. If you want to integrate us into your store platform security orchestration, platforms, you can do that. And your entire workflow for networking as well as security can be completely, completely automated. >>That's awesome. I want to get as we get limited time left and you got to go. We have to hard stop with segment here. Customer example. I'll see customers have a need for this. You're in business to do this. Can you give an example of a customer? That kind of illustrates the next level networking >>we have. We have 6000 plus active customers. We have over 50% share when it comes to this DNS DCP eye Pam market. So you will see has deployed and have you deployed in 95. Out of the Fortune 100 enterprises in four blocks is some someone you will see in any customer that you that you go through. We have some public references such as Adobe, a great customer of ours on our website. They, their entire global network, runs on the foundational layer of D. I. We have some very large customers that are not as comfortable being public references, but we have again. If you have 95 of the Fortune 100 enterprises want you, you can imagine how sticky VR how broadly deployed we are. Typically, what happens is we would go in and we would go in as the FBI there for them to control and manage that I p address space and their DNS infrastructure. Then they take on more off. They take on a security lens at this and say, Look through the http and eye Pam, I know everything that is sitting in my infested toe, DNS. I have full visibility into all the communication happening from that employer. So that's a great data source for me to leverage as a first layer of defense from a security stand. So then they start to bring in security into the into the mix in terms of how they leverage our products and then through our SAS platforms and SAS offerings. They take that and extended as they're driving this edge transformation. So they push these services now to the edge of the infrastructure so and that the new infant, the new offerings are blocks one platform is our SAS platform and blocks one based applications on our new offerings that integrates very nicely with some of our traditional offerings. So you get a very comprehensive single pane of glass in terms of how you can manage your entire enterprise footprint, whether it's it's on prim at the edge, in the public cloud at the cloud edge, right? >>You know, having a good business model that puts abstractions and reduces complexity is is a great one. We've seen the innovation with DNS and anything that needs an Internet address. You got to connect, and I o. T only creates more need for connection. This is the key enterprises know DNS. They know it differently that it's the plumbing we all know. But every time there's an innovation inflection point, a new abstraction layer emerges for simplicity, ease of use. >>DNS is the phone book of the end of off the Internet. Right, So you want to call anywhere you have to first, your DNS. Look up and you brought up I o t. That's a great example. You're not going to be able to put in these eye ot sensors. You're not going to be able to put endpoint security software, but they're going to call home so you can leverage DNS and do some behavioral analysis of the DNS. Traffic coming out of those Iot. The sensors are I ot endpoints and say, Hey, look, is there something militias going on? Why is my thermostat talking to a server in China? You can detect that to a DNS based security earlier that this foundational >>and to your point, whether it's a light bulb or anything untested device, they're being turned on and turned off all the time at massive scale. There's no other way to handle it, but having abstraction and automation. Absolutely. Thank you. Thank you very much for your time. Great segment. We're here at the info blocks. Virtual event. This is the cube coverage. I'm John Furrier. Thanks for watching. Thank you, John. Yeah, Yeah, yeah, yeah.

>>from around the globe. It's the Cube with digital coverage of next level network experience event brought to >>you by info blocks. Okay, welcome back, everyone. This is the Cube's coverage of the next level networking experience. Virtual event within four blocks. I'm John Furrow, your host of the Cube. We're here in our Palo Alto, Calif. Studios as part of our remote access during Covic, getting the interviews and the stories and sharing that with you. We got a great guest here, then savages the network operations manager at Morgan School District in Utah. A customer of info blocks to share a story. Then thanks for coming on. >>Thanks for having >>me. First of all, the Red Sox had a plus interview. I would say right now is gonna go great. Go Sox. Which baseball was in season. Great to have you on. Um, >>we'll get there. We'll >>get there. Um, my Yankee fans say when I say that. But anyway, Miss baseball, um, you know. But that brings up covert 19 baseball season sports. Life has been impacted. Your district. Like many school districts around the world, we're told to shut down, send workers home. That meant sending kids home, too. So we got the educators, get the administration, and you've got the kids all going home. >>Yeah. >>What did you do to keep things going? Because then stop. They had to do the remote learning and new things were emerging. New patterns, new traffic, new kinds of experiences. What did you learn? What's going on? >>Well, first we tried to lock the doors and pretend we weren't there, but they found us. Um, really? I mean, real quickly in our school district, we're not a 1 to 1 operation, so the, uh that caused a big change for us. Um, we had to quickly adapt. And we chose to use chromebooks because that's what we have for the students to use in their classes. So getting that, uh, squared away and send out into the family's was was a big challenge. But then on top of that being the school district, we then had to decide. Okay, how do we protect and filter provide the filtering that the students are gonna need even though they're at home? So there's some relative safety there when they're online and and accessing your email and things like that. So those were. Our two are probably our two. Biggest hurdles was, you know, ramping up the devices and then and then providing, making sure, you know, the network access from a filtering and consistency standpoint was going to work. >>You know, I got to ask you because I see this kind of disruption you don't You don't read about this in the i t. Manual around disaster recovery and, you know, disruption to operations. But essentially, the whole thing changes, but you still got to connect to the network, DNS. You gotta get the access to the content. You got content, you get systems. You got security all to be managed while in flight of dealing with connection points that remote. So you've got the disruption and the craziness of that, and then you've got this big I o t experiment basically edge of the network, you know, in all over the place. You know, on one hand, you kind of geek out and say, Wow, this is really kind of a challenge is an opportunity to solve the problem at the same time, you know, What do you do? So take us through that because that's a is a challenge of locking down the security in a borderless environment. People are everywhere. The students business has to get done. You got to resolve to. The resource is >>so thankfully, we had migrated If it blocks several years ago. Um and just this last, I would say in October, I finally got us on. Ah, cloud the blocks. One threat defense Cloud portion of it too. So from a security standpoint, we already had a really good, um foundation in place from both the DNs aspect and the DNS security aspect. Um so that was to be honest, most users. It was seamless transition. In many regards, both users didn't even realize they were being, You know, pushed through the info blocks is cloud DNs server, you know, which was providing security and filtering. So that was a big plus for us because it it was less man hours. We had to spend troubleshooting people's DNS resolutions. Why sites Wouldn't you know? Maybe they weren't being filtered correctly. All that was was to be honest, perfect. Where other platforms we had previously were just a nightmare to manage, >>like, for example, of the old way versus the new way here and marital, is it? What files configuration will take us through? What? You >>know, it was like a separate. It was a separate product content filter that works in conjunction with the firewall. Um, and I'm not going to name the company's name. I don't want, you know, even though many company but it seemed with that product we were spending, on average about 3 to 4 hours a day fixing false positives just from a filtering aspect because it would interfere with the DNS. And it does. It didn't really do it. I mean, how it filters is not based on DNS. Totally right. So by migrating temple blocks are DNS and the filtering the security is all handling at the DNs level. And it was just much more, um, to be I mean, frankly, honestly, is much more invisible to the end user. So >>more efficient. You decouple filtering from DNs resolution. Got it. All right, this is the big topic. I've been talking with info blocks people on this program in this event is on how this new d d I layer DNs d XP and I p address management kind of altogether super important. It's critical infrastructure Yeah. No spoilers, Enterprise. You're borderless institution. Same thing you go to school as a customer. How does the d I lay out this foundational security play for delivering this next level experience? What's your take on that? >>Well, for our like, for a school platform, we we use it in a number of ways. Besides, I mean, the filtering is huge, but just for the ability, like, for example, one of the components is is response policy zones or DNS firewalls what they call it, and that allows you one to manage, um, traditional, like DNS names, right? P addresses you can. You can manage those by creating essentially a zone that is like a white list of blacklist rewrite. So you've got a lot of control, and again it's filtering at the DNs level, so it's looking based on DNS responses inquiry. The other aspect of that is, is the feeds that you receive from info blocks. So by subscribing to those, we, um we have access to a lot of information that info Blocks and their partners have created identifying, you know, bad actors, malware attack vectors based on again DNs, uh, traffic, if you will, and so that takes a load office. Not having to worry. I'm trying to do all that on our own. I mean, we've seen a lot of attacks minimized because of the feeds themselves. So that again frees us up. We're a very small school district. In some regards, there's a I am the only network person in the district, and there's like, a total of four of us that manage, you know, kind of the support aspect. And so, being able to not have to spend time researching or tracking down, you know, breaches and attacks as much because of the DNS. Security frees me up to do other things, you know, like in the more standard networking realm, from a design and implementation. >>Great. Thanks for sharing that. I want to ask about security as a very competitive space security here and everyone promising it different things at different security things. You know, by I gotta ask you, why did you guys decide to use info blocks and what's the reason behind it? >>Well, to be frankly honest, I'm actually in info blocks trainer and I've been training for 15 years, so I kind of had an agenda when I first took this job to help out the school district. In my experience, I've been doing working in networking for over 20 years. And in my experience, I ever boxes one of the most easy and in best managed DNS solutions that I've come across. So, um, you know, I might be a little biased, but I'm okay with that. And so I I pushed us to be honest, to get there and then from the security aspect has all that has evolved. It just makes to me it makes sense. Why not wrap the more things you can maybe wrapped together. And so you know, when you're talking about attacks, over 90% of attacks use DNS. So if I have a solution that is already providing my DNS and then wraps the security into it, it just makes the most sense for me. >>Yeah. I mean, go back. The info box is DNA. You got cricket. Liu Stuart Bailey, the founder, was this is zero. This didn't just wake up one day and decided to start up these air practitioners early days of the Internet. They know DNS cold and DNS is we've been evolved. I mean, and when it needs that when you get into the DNS. Hacks and then you realize Okay, let's build an abstraction layer. You've seen Internet navigation discovery, all the stuff that's been proven. It is a critical infrastructure. >>Well, and to be honest, it's It's one of those services that you can't can't filter the firewall right. You have to have it. You have to. It's that foundation layer. And so it makes sense that Attackers air leveraging it because the fire will has to let it through in and out. And so it's a natural, almost a natural path for them to break in. So having something that speaks native DNS as part of your security platform makes more sense because it it can understand and see those attacks, the more sophisticated they become as well. >>So I gotta ask you, since you're very familiar info blocks and you're actually deploying its great solution. But I got this new DD I Layer, which is an abstraction, is always a great evolution. Take away complexity and more functionality. Cloud certainly cloud natives everywhere. That's but if it's for what is the update, if if I'm watching this month, you know I've been running DNS and I know it's out there. It's been running everything. And I got a update, my foundation of my business. I got to make my DNS rock solid. What's the new update? What's info blocks doing now? I know they got DNS chops seeing that on it. What's new about info blocks? What do you say? >>Well, it's, you know, they have a couple things that they've been trying to modify over the last several years. In my opinion, making more DNS like a you know, like software as a service, you know, service on demand, type of approach. That's a yes. So you have the cloud components to where you can take a lot of the heavy lifting, maybe off of your network team's shoulders. Because it is, it is. Um, I think people will be surprised how many customers out there. I have, ah, teams that are managing the DNS and even the D HCP aspect that that's not really what their experiences and then they don't They don't have, ah, true, maybe background Indians, and so having something that can help make that easier. It's almost, you know, hey, maybe used this term it almost sounds like it's too simple, but it's almost like a plug and play approached for some. For some environments, you know you're able to pop that in, and a lot of probably the problems they've been dealing with and not realizing what the root cause was will be fixed. So that's always a huge component with with info blocks. But their security is really what's come about in the last several years, Um, and and back as a school district, you know, our besides securing traffic, which every customer has to do, um, we have our you know, we're We have a lot of laws and regulations around filtering with with students and teachers. So anyone that's using a campus own device And so for us this I don't think people realized that the maturity that the filtering aspect of the blocks one defence now it's it's really evolved over the last couple of years. It's become a really, really good product and, like I said earlier, just work seamlessly with the data security. So it is going to be using >>an SD Wan unpacked everything. You go regular root level DNs is it? So I gotta ask you. How is the info blocks helping you keep network services running in system secure? >>Well, I think I think we're more on just the DNs d It does R d eight DNS and DCP. So from that standpoint, you know, in the five years almost we've been running that aspect. We have had very little if if maybe one or two incidents of problems with, you know from a DNS TCP so so are our users are able to connect, you know, when they turn on their computer To them, the Internet's up. You know, there's no there's no bumps in the road stopping them from from being able to connect. So that's a huge thing. You know, you don't have to deal with those Those constant issues again is a small team that just takes time away from the big projects. You're trying to, um, and then to the being able to now combine things. Security filtering solution. Uh, that alone has probably saved us. Oh, we'll probably you know, upwards of 500 man hours in the last eight months. So where normally we would be spending those hours again, troubleshooting issues that false positives, things like that. And there's a small team that just sucks the life out of you when you have to. You always spend time on that. >>I mean, you always chasing your tails. Almost. You want to be productive. Automation plays >>a >>key role in that, >>right? Yeah. >>So I got to ask you, you know, just a general question. I'm curious. You know, one of the things I see is sprawling of devices. WiFi was a great example that put an access point up a rogue access point, you know, as you get more connections. De HCP was amazing about this is awesome. But also, you had also de HCP problem. You got the the key Management is not just around slinging more d HDP around. So you got the trend? Is more connections on the eyepiece? Not how does info blocks make that easier? Because for people who may not know, the DNS ends announcing TCP and IP address management. They're all kind of tied together. Right? So this >>is the >>magic of DD I in my head. I want to get your thoughts on how you see that. Evolving. >>Yeah, I think that's another kind of back twice. It's kind of almost like a plug and play for a lot of customer environments. They're getting, you know, you're getting the DSP, DNs and eye Pam all wrapped in once you have this product that speaks, well, those languages, if you will and that And, um along with some of the reporting services and things of that nature. Um, when I look for, like, a Mac address in my influx database, I'm not just going to get ah, Mac address and what the i p addresses. I'm not just going to get the DNs like the host name. Maybe you know, the beauty and fully qualified domain name. Either I have the ability to bring in all this information that one. The client is communicating with the DCP DNS server on top of things like metadata that you can configure in the database to help really color in the picture of your network. So when you're looking at what device is using this I p when we talk about rogue devices or things like that, uh, I can get so much more information out of info blocks that almost almost to the point where you're almost being able to nail down the location of where the devices that even if it's a wireless client because it works in conjunction with some of our wireless appointments, too. So within, you know, a matter of minutes we have almost all the information we would need to take whatever action is appropriate for something like that, that getting used to take us hours and hours to troubleshoot. >>Appreciate a lot of the other interviews I've done with the info blocks, folks. One of the things that came out of them is the trailing. You can see the trail they're getting. They got to get in somewhere. DNS is the footprints of there you got? That's the traffic, and that's been helping on a potential attacks in D DOS is, for example, no one knows what that is, but DNS is what he said. A lot of the surface areas, DNS. With the hackers are makes it easier to find things. >>Well, you know, by integrating with the cloud I've I've got, you know, that the cloud based with the blocks one, it added a advanced DNS security, which helps protect skins Adidas as well as any cast to help provide more availability because I'm pushing on my DNs traffic through those cloud servers. It's like I've I'm almost equivalent of a very large organization that would normally spend millions of millions of dollars trying to do this on their own. So I'm getting the benefits and kind of the equivalent from that cloud hybrid approach that normally we would never have have. The resource is, >>Well, then I really appreciate you taking the time out of your busy day to remote into the Cube studios. Talk about next level networking experience, so I want to just ask you, just put your experience hat on. You've been You've seen some waves. You've seen the technology evolve when you hear next level networking and when you hear next level networking experience almost two separate meetings. But next level networking means next level. Next level networking experience means is some experience behind it. One of those two phrases mean to you next level networking and next level networking experience. >>Well, to me, I always look at it as the evolution of being able to have a user experience that's consistent no matter where you're located, with your home in your office and special with in today's environment. We have to be able to provide that consistent experience. But what I think what a lot of people may not think about or my overlook if you're just, you know, more of an end user is along with that experience, it has to be a consistent excess security approach. So if I'm an end user, um, I should be able to have the access the, um and the security, which, you know, you know, filtering all that fun stuff to not just allow me the connectivity, but to bring me, you know, that to keep the secure wherever I met. And ah, um, I think schools, you know, obviously with code and in the one the one that everyone was forced to do. But I think businesses And generally I think that's, you know, years ago, Cisco when I worked with Cisco, we talked about, you know, the remote user of the mobile user and how Cisco is kind of leading, uh, the way on that. And I think, you know, with the nature of things like this pandemic, I think being able to have your your users again have that consistent experience, no matter where they're at is going to be key. And so that's how I see when I think of the network evolution, I think that's how it it has to go. >>Well, we appreciate your your time sharing your insights Has a lot of a lot of people are learning that you've got to pour the concrete to build the building. DNS becoming kind of critical infrastructure. But final question for you. I got you here, you know? How you doing? Actually, schools looks like they're gonna have some either fully virtual for the next semester or some sort of time or set schedule. There's all kinds of different approaches. This is the end of the day. It's still is this big i o t experiment from a traffic standpoint. So new expectations create new solutions. What do you see on the horizon? What challenges do you see as you ride this way? Because you've got a hold down the fort, their school district for 3000 students. And you got the administration and the faculty. So you know What are you expecting? And what do you hope to see Evolve Or what do you want to stay away from? What's your opinion? >>I think? I think my my biggest concern is, you know, making sure our like, our students and staff don't, uh, you know, run into trouble on by say that more from, you know, you know, by being, you know, being exposed to attacks, you know, their data with Delta becomes, you know, comes back to our data as a district. But, you know, the student data, I think I think, you know, with anything kids are very vulnerable. Ah, very role, vulnerable targets for many reasons. You know, they're quick to use technology that quick to use, like social media, things like that. But they're they're probably the first ones to do security Does not, you know, across their mind. So I think my big my big concern is as we're moving this, you know, hybrid, hybrid approach where kids can be in school where they're going to be at home. Maybe they'll change from the days of the week. It'll fluctuate, uh, keeping them secure, you know, protecting them from themselves. Maybe in a way, if I have to be the guy is kind of the grumpy old dad it looked at. I'm okay with wearing that hat. I think that's my biggest. Our concern is providing that type of, uh, stability and security. So parents at the end of that could be, you know, I have more peace of mind that their kids you know, our online even more. It's great >>that you can bring that experience because, you know, new new environments, like whether it zooming or using, try and get the different software tools that are out there that were built for on premise premises. You have now potentially a click here. Click there. They could be a target. So, you know, being safe and getting the job done to make sure they have up time. So the remote access it again. If you've got a new edge now, right? So the edge of the network is the home. Exactly. Yeah. Your service area just got bigger. >>Yeah. Yeah, we're in. You know, I'm everybody's guest, whether they like it or not. >>I appreciate that. Appreciate your time and good luck. And let's stay in touch. Thanks for your time. >>Hey, thanks for having me. You guys have a good rest of your weekend? Day two. State State. >>Thank you very much. It's the Cube's coverage with info blocks for a special next level networking experience. Pop up event. I'm John for the Cube. Your host. Thanks for watching. Yeah, yeah, yeah.

>>from around the globe. It's the Cube with digital coverage of next level network experience event brought to you by Info blocks Hi ups to Minuteman and welcome to the Cube's coverage of the info blocks virtual event. Digging into the next level networking experience. I'm here with John Furrier, who is the host of the event. John. We've been talking about next level networking for for a few years now. Everything's multi cloud cloud native SAS adoption, really transforming the way that we have to think about networking. Tell us a little bit about this event. >>So as you know, yeah, again go back years from when member VM Ware bought in a sexual like Okay, you know that's going to change the game software to find networking. And we love that. We were all riffing on program ability. You saw the Dev Ops trajectory hitting networking. We would say that's where the action is on this event really kind of speaks to Info Blocks as a company which is really well known for DNS. I mean, they had cricket. Liu Stuart Bailey, that really kind of the pioneers in DNS and security have constantly been adding innovation to it, but DNS is one of those things where it's kind of like not thought about, but it runs everywhere, runs the web. It is critical infrastructure and, you know D HCP. We all know what that is. We have a home router, and then he got I p address management. These have been traditionally different things for enterprises, and everyone has it. They got to deal with it. And it's really, ultimately the location and how things resolved and connect. So you know, it really becomes a foundational opportunity to figure out where the access is not only a remote access, but security. So we had a great bunch of guests looking at looking at the info blocks. Next level networking, because they bought, had an acquisition, a Cube alumni snap route recently, and this caught our attention because they were doing Cloud Native. And one of the guests we had was Glenn Sullivan. He was the founder of Snap Route. He was the the guy who did all the Siri work for Apple. So this guy knows large scale of those cloud native We had kuna Sunni, who's the runs? Corporate development in all of the products for info blocks. He kind of went into the strategy of how they're taking the I won't say boring DNs, but the critical infrastructure of DNS and how they're extending the functionality with an abstraction layer around D D I, which is DNS DCP and management. And then we had some great guests on there. We had a Craig Sanderson from info blocks. He's on there. You'll hear from him. He talked about the security and then finally a customer who's running a big school district who, with Covert 19 exposes all these challenges around what has been called the borderless enterprise. So really, next level is that, you know, how do you deal with all this stuff? And that's been a big issue. So we're gonna unpack all that in this virtual event. We have four great interviews, and so it's going to be a great program. >>Yeah, John, as you said it to some of those foundational pieces of how network is done, a lot of times runs, you know, under the radar, something you don't need to think about. But all of these changes, as we said, you know my data. My network is now highly distributed, especially I would expect that the impact of the global pandemic and work from home are really causing even more of these challenges and to think about distributed infrastructure even more. So what are some of the themes we should be looking for here? How much of them kind of tie into what we've been talking about the last couple of years in some of these cloud native worlds? >>That's great questions to I'll get into some of the themes of the program, but you brought up the covert 19 again. We've been talking about this in our reporting. You've been doing a ton of interviews following all your your stuff as well as well as all of our team. Covert 19 really exposes the aspect of critical infrastructure, and to me it's like it's the It's the great I o T experiment happening in real time. It's forcing companies saying, Hey, the work. The future of work is about workplace. The location is now home workforce. Are the people emotional? They want ease of use. They want a different experience. They're all not in the office workloads and work flows. All of them have the common word working it so I think over 19 exposes this what I call I o t experiment because everyone is now borderless. It changes the game and really puts the pressure on security network access. And ultimately, you know, the bad guys are out there so you could have someone a teacher at home or a worker at home, and they get some malware attack and they're not sophisticated, zoom or whatever they're using for tools. All that's changed and they're vulnerable. So this brings up a huge networking challenge from whether even VP ends or even relevant or not to everything. So, to me, that is a huge point. You're gonna hear that throughout the commentary that that's kind of teased out. But the real things about innovation around the cloud you're gonna hear info blocks and they're experts talk about what they're doing and how they see cloud scale and cloud native integrating into an older paradigm like DNS. And to me, that's the That's the evolution of this DD I concept. That's an abstraction layer that creates innovation opportunities but also takes away a lot of the complexities around managing all the DNS things out there and again, that's the access of the network. It's a it's a place of truth is really kind of low level, but it's really foundational. So to me, that's the main theme. And customers want ease of use into it, whether they're at home or not, and replacing the old ways to putting a box out there. That's the way it was, DNs DNs. People would manage it all. Now they want to have it provisioned, managed a manage service cloud Native Cloud operations because it's only gonna get has to get that way. >>Yeah, it's interesting, John. You know, we watched the whole wave of software defined impact networking. I think of a company like Info blocks. They've been around for decades. They're dominant in the space is that they play in. Traditionally, it would have been an appliance that you thought of for their environment you talked about. They now have the snapper out acquisition as part of what they're doing. So it just what should we be looking for? What are they really the main point? That Info Box wants to bring people together for this next level networking experience? >>Well, Glenn Sullivan was one of my favorite discussions, and he's been on. He's a cube alumni and he's so smart. He came again from Apple. He knows that he knows what large scale looks like. Snap route was really early and was one of those technologies that just, you know, it has the core DNs built in kubernetes built in. They were doing some pretty aggressive, I would call it for lack of a better word kubernetes on bare metal. They were doing stuff, but really super cool kubernetes you combine that with DNS and info blocks actually has the core DNs that's actually in every kubernetes of in the CN CF. So everything that comes out of the CN CF from a core DNS standpoint is info blocks. So yeah, they're definitely relevant in the whole CNC of Cloud Native foundation, effort around cloud native. And as that scales just micro services, you're gonna have to have this new abstraction layer and also be compatible with automation. So that's, um, we didn't go into the weeds on that, but that was essentially the head room for all the different conversations roles of cloud native and open source technologies enabling borderless enterprises because you got to have the operation side and you got to have the program ability. So you start to get into the true dev ops that we used to riff on all the time. You know, move fast, break stuff to don't break anything. Right? So ops, ops and Dev have to come together. This is where the winners and losers of networking will be determined. You gotta provide the enablement for developers, but you gotta provide the stability of an operational checklist. >>Yeah, John, I guess the last question I want to ask you before we get to the guests, You know, that operational change, You know, we saw for so many years it was, Oh, all the networking people, they're going to have to learn to code up weight. Dev ops is actually gonna spreading the information around. And maybe I won't need a particular networking team. But we understand when things go wrong, you've gotta have somebody with the expertise that could be able to dig in. What are you know, who should be listening to this? What are some of those organizational implications for what you're talking about with info blocks? >>That's a great point. I mean, the biggest challenge that I see in all this entire digital transformation as it starts to get down into the cloud native world is, most people are asking the wrong questions. They don't even know what they're talking about When it comes down to trying to compare an apple to an orange, they're really kind of disconnected on language. You got server people in networking. We know that they have different languages, and working together is key. When you think about something like DNS, that's a technical. That's an operator that's an I t person, that someone who's running critical infrastructure. But when you start to think about the security aspect of it, it's a CSO conversation. So what I'm seeing come out of this that's critical, is when you start to get into this cloud native world. You have more stakeholders in the value proposition of all this and with covert 19. As I pointed out, you know you got hacks and you got security. So when you talk with security, that's up and down the organization. That's the CSO down to the teams themselves. We have about automation horizontally scaling with Dev ops. That's multiple teams, so you have an integration kind of stakeholders. You know DNS servers, all networking. All these people have to kind of come together. So the people who should watch this are the people who are concerned about scaling the modern enterprise, which is borderless, which is code word for multiple access points and multiple connection points. R i o t um, how do you make that work? And that's the real challenge. So it's kind of like an I t a person who wants to figure out where the puck will be so they could be there when it's there and skate to where the puck is, as we say, and and the CSO of the senior people have to understand that DNS cannot be overlooked because whether it's a managed service. So So Cloudflare had a huge out into the DNS. Setting DNS takes down everything. So it's ah, it's the most fertile ground and the most targeted ground for attacks, and that is well understood. So getting the right questions in place foundational we had to set up the modern enterprise, and then that's going to be a construct for the cloud native architecture and ultimately the developer environment. So yeah, it's a topic that's kind of nerdy with DNS, But it has implications across digital transformation. >>Jonah expecting lots of conversations around security and automation how they tie into all of the modern and modernization themes. Absolutely some pieces that shouldn't be left behind. All right, John Ferrier, Thanks so much for helping us kick off. Really interested. Make sure to stick with us off to listen to all the guest interviews here that John has done the info blocks. Next level networking experience. Instrument, man. And thank you for watching the Cube. Yeah, yeah, yeah, yeah, yeah, yeah.

from the silicon angle media office in Boston Massachusetts it's the queue now here's your host Stu minimun hi I'm Stu minimun and welcome to a special cube conversation here in our Boston area studio the one constant that we know for customers is change and how they manage their data there are applications in this ever-changing world is something that is always interesting to dig into and helping me with this conversation first time guests on the program Joe DeAngelo who is a distinguished engineer and national practice lead of availability solutions with Veritas is here with me Joe thanks so much for joining us it's - thanks for having me yours is great all right so first before we get into it give us a little bit about you know your background what you work on how long you been with Veritas sure so I've been with Veritas for nine years in various different roles I was a product manager when I joined the company since then I joined the field sales technical or technical field sales organization working as an advocate with some of our more strategic customers sort of like the liaison back to the product team before that I was a consultant sort of as a implementing these technologies from Veritas and of course it was a customer - so always had sort of that round out that full full spectrum of experience with love that we can draw on some of your experience as a customer right let's start there if we will now you're working with a lot of customers and the space you're working on the availability solutions I kind of teed it up with we know that there's change happening you know when I talk about customers in their cloud journey it is an ever moving thing it's not a one-way thing there's data centers there's cloud there's edge there's all of these environments and what you know figuring out what application what application goes where and how that's changing over time is there's a real challenge for customers these days is it not it absolutely is and really one of the sort of the foundational tenants of the availability solutions at Veritas is that we give customers the ability to sort of decouple their applications from all of that sort of chaos that's in the in their infrastructure whether it's in the cloud whether it's hyper-converged physical virtual different storage technologies they can run their application where they need to run it when they need to run it and be to know that it'll be performance yeah well we know from Veritas as legacy I remember seeing the billboards and the t-shirts there are no hardware agenda so you understand Veritas has always been a software share company when you look at that kind of wave of you know software-defined storage and the like help us understand you know today here's 2020 we're living in the future you know what that means for you know customers data is customers application what the availability solution in the product lines that you work yeah I mean that's that's a terrific question well what it means is you have a myriad of choices you have to decide on so it's not just the individual application but really the the composition of those apps and the relationships they have with other different other applications you mentioned software-defined storage I mean we cut our teeth on software-defined storage back when that wasn't even a term you know thirty years ago all right I like to think that it's almost in our DNA that you know taking and virtualizing storage is one of the first things we did as a technology today we we've taken that same sort of approach to commoditizing most of the infrastructure so that it doesn't matter what operating system it doesn't matter what storage vendor you use doesn't matter what cloud provider you use our technology gives you the luxury or I like to say breathing room in many cases to make those decisions so that they can align with your business outcomes more effectively all right so Joe the the product we're going to be talking a bit about is info scale for people that aren't familiar you know what is info scale how does it fit in this ever-changing landscape you mentioned you know cloud and operating systems and hypervisors and everything so help us tee up we're in for a scale fits sure thing so info scale is really a moniker if nothing else on top of our storage foundation veritos volume manager Veritas file system veritas cluster server technologies and those have been industry staples for decades right being able to address the needs of the most critical applications and so most stringent and high demanding workloads be at the top financial institutions health care providers etc the the technology itself really addresses resiliency and availability from sort of three areas we'd like to think that you can provide the ability to keep your services online with our with our high availability and disaster recovery solutions but we also wanna make sure that those applications and those data sets that you're using the technology with making sure that they're performing right because an underperforming application is just as detrimental to availability as would be a simply going offline and we also want to give you the ability to migrate workloads and move those applications among different technologies so that's really where the the focus of impost scalable it ok so you know Joe when you have customers that are trying to figure out ok I'm taking an application do I take that from my data center do I move that to the cloud I'm building a new application where do I do that how does in fel scale fit into that discussion and how is the discussion of info scale fit with the infrastructure discussion that they are having yeah absolutely so inevitably what the choice a lot of the customers I have conversations with struggle with just what's the first step to get to the cloud and many of them are locked into a proprietary solution or some technology that doesn't really have an analogue or some sort of equivalency in the cloud with info scale what we allowed them to do is actually replicate that data anywhere they want to go because you said we don't have a hardware agenda it doesn't matter what the storage underneath the covers might be so we can go from physical storage on Prem into the public cloud across any variety of different tiers of storage that exists there and this works at not just the from a data set standpoint but the applications as well so if you've got something as critical as a database a relational database that's Oracle them as a sequel database whatever may be you can very easily replicate those and move those workloads into the public cloud for purposes of migrations or disaster recovery with truth be told of the exact same thing you know migrations just a one-way ticket a dr is a roundtrip ticket but the technology is exactly the same so that's how you're able to achieve those goals ok we talked about application in general you mentioned some specific is there you know you know a compatibility list or you know what sorts of classes of applications how do I know if my application today is something that fits under this certainly so we have a catalogue of agents that we support what we call our bundled agents or agent framework and it it's a list of roughly over 500 different infrastructure components applications and services that we monitor and protect for the purposes of again for disaster recovery and migration capabilities pretty much all the enterprise applications the most prolific workloads that are in the in the industry today so are your databases or middleware to your application servers those are all included but we also have the ability to very easily introduce custom applications so a customer can take and say they may have written something homegrown and it has any number of different components to it if you could tell me how to start it how to stop it how to monitor it we can put it into info skill okay Joe I think we paint a pretty good picture of what info scale is maybe if you have a customer example that might help us understand a little bit about kind of the use cases and commonly why they're using it now that work well I can I have a little bit of an anecdote that I like to tell a story about a customer a state agency that was a big info scale user just happened to be on Windows and we've gotten through a deployment and everything was looking great and they were able to move all of their their their applications in this particular these Windows applications all in it being particularly info scale being replicated and having both high availability as well as disaster recovery and everything was looking great I finished the project on a Friday afternoon and bye-bye Sunday morning I was getting frantic phone calls from the people that I was working with at the time I was actually a consultant and they're asking me what what happened what's going on why what's what's what's the issue here I go I left the customer just fine on Friday there were no issues at all and they said you need to reach out to your team there and see what's going on so we're getting some phone calls that there's some problems like okay so I got on the phone and I spoke to my contact there and he said oh no nothing's wrong with the environment but we might have some issues with who's gonna be maintaining it come Monday morning and I go why it was well I think half the team well pretty much all the team's gonna be calling in rich Monday morning and I go what are you talking about goes the entire IT staff hit the Mega Millions jackpot so the this is the entire staff this was the DBAs the network admins the manager the managers manager all had the Mega Man jackpot so needless to say they weren't too concerned about coming into work on Monday morning but this poor person that was left he was holding the bag he said we already reached out to support your guys are on the call we're confident knowing that you know that that veritas is going to be there to help us through this transitional period because we've got this consistent layer so I used that example because it's a fantastic story but too it addresses the fact that disasters come in many different flavors and many different you know they can produce and manifest in many different ways and your people that to me that that's always your most critical asset and when those suffer that you know this technology is there really helped address me well Joe I like that example rather than I think going forward rather than saying well what happens if one of your critical staff gets hit by a bus yeah what if your entire support team you know it did happen all right what would you say are some of the kind of misconceptions that but maybe people don't understand if they're that they haven't look closely at in post-game lately yeah great question so I think some of the misconceptions about it is that it's tied to a very specific sort of heritage big iron unix only workloads admittedly we cut our teeth in that space right whether it's going back in the days of the original Sun OS and some of the the big iron systems we gained a lot of traction a lot of you know we earned our stripes in that space but in reality that that space is shrunk tremendously over the last you know 10 or 15 years for a variety of reasons and I think there's still some misconception that that info scale or veritas you know volume management file system only is relevant in that space and truth be told nothing could be further from nothing to be further from the truth because if you go back to what I comment I made earlier about this idea of commoditizing that infrastructure we can help customers transition throughout all those different sort of points of inflection so if going from the big iron to go into the more commodity commoditized you know x86 hardware going from physical to virtual going from virtual to the cloud going from virtual to hyper-converged and even back in some cases we have the capabilities and the wherewithal to be able to help customers do those kinds of transitions yeah I've been in the industry long enough I remember a lot of those UNIX migrations you know whether it going over to Windows whether I'm going over the Linux what would you say are some of the similarities some of the differences from what we did in those environments compared to what's often a cloud discussion today yeah so truth be told is that we we we tend to not reinvent the wheel at Veritas we look and say okay what are some of the really you know tremendously powerful tools and capabilities that we have how do we apply those to new platforms you take the cloud for example one of the things that we've always prided ourselves on is giving customers again that breathing room to make a decision and say I'm gonna move to a new platform so I can literally take a worker that was running on UNIX and I can move it over to Linux well that same model now can be applied where I can take that legacy work load running in Solaris I can move that directly into the public cloud and that's something that turns a lot of heads because I asked a lot of customers I know would it be compelling if I had a means for you to be able to take that legacy Solaris environment or that UNIX workload and I can write it directly into say ec2 in AWS and they're all there it's it's they're incredulous they're thinking no this can't happen there's no way you can do this and I said yes it can because we look at the cloud is another platform and we want to be able to have customers take full advantage of it exploit it but at the same time not be fearful that they won't have a way to move data in and out yeah oh it's Veritas helping with some of the the management pieces when you talk about going through those migrations it's one thing about what platform I live on but how do I manage that environment what skills that do I need yeah how are you working hand-in-hand with your customers on that well the great thing about it is is that there is a there's a sense of parity between what we do on Prem and what you do in the public cloud when you're using info scale because again we consume cloud resources just like they were any other platform so whether you were going from physical to virtual virtual to hyper converts or into the public cloud the same operations the same configurations the same the same scripts the same user interface all the things all of the the the machinery and the tooling that's around those applications can can can be consistent and in many cases that is it is invaluable because a lot of customers while they want to adopt the public cloud they don't want to have to redefine their operational paradigm they want to be able to take those workloads and I want to just be able to scoop them up and say put me in the public cloud I don't want to change everything around it because I don't have the bandwidth to do that to take on a whole new react of texture using the cloud that's that's basically starting your IT from from zero and building only backup and they don't have the time or the money or the resources to make that happen so looking for that consistency looking for that parity between the on-prem the public cloud all right what are some of the features that are most resonating with your customers well I would say first and foremost the the the fact that that our core technology around volume management helps you to virtualize storage all the capabilities you have there the fact that our file system can transition between different different Indians rate going from UNIX to Linux going from from Solaris to Red Hat and so on that gives you that flexibility our Hardware agnostic replication with volume replicator giving you the ability to not only provide dr over any geographic distance but also the ability to migrate between those platforms so being able to take and replicate data that's on a UNIX system today into the public cloud running Linux so that's with volume replicator we also have capabilities that allow you to utilize local storage in the sense that and treat it like it's shared storage some of the challenges with the public cloud are around some of the restrictive storage architectures so you take like a an availability zone inside of AWS all that storage is only available inside of at that particular availability zone if you want to move an application over to the other node you can't share storage between those availability zones we didn't focus Caleb you can and you can basically address some of those gaps or shoot through some of those blind spots yeah how was your team helping your customers keep up with all those changes you know we look at the public cloud there there's always new instances there's new zones there's it's it's a constant reinvention happening and day out yeah absolutely so a couple of things were happening first and foremost we're in the marketplace we have CF T's we've got you know a.m. eyes for that product so that you can further info scale so you can spin those up much more quickly working to get in the same thing for the azure marketplace we integrate with a lot of the automation and orchestration tools that are in the market today the ansible is the Puppets the chef's making sure that what I call the time to value for our technology is as short as possible so that you get out of the business of becoming you know a very tossed admin but focusing more on your on your business and what Veritas can do to help you improve that yeah it's interesting stuff a lot of automation going on in this space you know it's a very different world for your customers you know is is there some that you need to kind of react eight customers as do you know what Veritas is doing today versus what they might yeah there's there's a we're we're not your father's Veritas kind of mentality that we try to promote and I think you you've seen over the last 12 to 18 months that our our messaging our corporate strategy in general has had a tremendous sort of resurgence of info scale being a big part of that because recognize that when you talk about Veritas as a whole with our API strategy of availability protection and insights availability of your services in your data are critical to your success as an enterprise not just from an IT perspective and it's where info scale really plays sort of the the sort of the critical role in achieving that any other what sort of outcomes do you do your customers find once they've rolled these solutions out well I think operationally that there is a significant reduction in the overhead needed to make some of the more complex and and and really challenging operations you know cookie cutter I had a customer just last week you know this might sound like a little bit of you know self-promotion but he said storage foundation is the single greatest software-defined storage technology that's ever been written and because they are able to achieve a migration on a scale that they never would have been able to achieve without without a technology like this and of course I know there's no way to vet that statement but you're just going to if the customer is gonna has said it we will take them on there he did it it was I took pause I'm like wow I was like can I quote you on that he was just like yes you may Joe what else what other features underneath or kind of lesser-known things from info scale do you want to make sure customers know about oh yeah I mean listen there there are so many incredible capabilities that are included with info scale I would say that most important is that you know we can do things like transparently tear storage between on-prem and the public cloud and that can be something as granular as and as an Oracle database or something is you know general-purpose is just a shared you know NFS file system we have intelligent caching mechanisms to accelerate performance of workloads that again address the issues of performance on Prem as well as the public cloud we can help you transition your applications we have a migration wizard framework inside of our dashboard our info scale operations manager that allows you to on you know on the fly establish all of the necessary relationships between the different different clusters to be able to move applications from from from UNIX to the Linux move it from physical to virtual to go from a virtual and a hyper-converged we identify all those pieces and you know I said in an on-demand fashion build all the components for you we have you know a number of different you know what's most common talk about today is ransomware right this idea that how do we insulate our data from the from the threats of ransomware you can do so many different off host snapshot recovery method methodologies with info scale right creating an air gap between your data and secondary data sets that you can recover instantly from but has that enough gap so that that something that would corrupt the primary data set would not infiltrate your secondary copies so I mean there's just so many cool things that it can do it's just the use cases are just pretty you know innumerable yeah so last question Joe is a let's go up level a little bit you talk about you know the application portfolios really changing for a lot of customers lift relational databases we talked about you know virtual and physical and and cloud environments ever changing so when customers think about Veritas how should they when and how should they be thinking about Veritas well especially from from the from an availability standpoint it's really about abstracting your applications from the underlying infrastructure providing a resilient and performant storage layer to achieve really the the goals of your business not just the goals of your IT because at the end of the day we want to make sure that there is a direct line of sight between what you're trying to do is an enterprise what you're trying to do as a business be it a financial service institution healthcare provider doesn't matter what the industry is and that that the investments you make an IT can directly contribute to that and with Veritas we really help customers to make that a reality and we do it tactically with the idea of protecting your applications and ensuring that you have resilient services and we do it strategically by giving a platform to be able to host any number of different applications across all different operating systems and technologies so DeAngelo thank you so much for all the updates really a pleasure all right be sure to check out the cube net for all of the interviews we have go hit the search you can find past interviews we've done with Veritas as well as all the shows that we'll be at at 2020 and beyond I'm Stu minimun and thank you for watching the Q

>> live from San Francisco celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019 brought to you by IBM wear and its ecosystem partners. >> Well, good afternoon. And welcome back to San Francisco. Where Mosconi north along with David Dante, John Wall's You're watching our coverage here. Live on the Cuba Veum world. 2019 days. I've been over on the other set. I know you've been busy on this side as well. Show going. All right for you >> so far. Yeah, A lot of action going on over here. We had a pact Hellsing on this morning, Michael Dell, with this VM wear hat, we get Sanjay Putin downtown later. >> Yeah, yeah. Good light up. And that lineup continues. Great. Use the CEO Veritas. >> Great to be here. Very John, >> actually, just outside the Veritas Meadow here. Sponsored the this area. This is the meadow set. That >> nice to be here? Yeah, I didn't know >> that. All right, just first off, just give me your your idea of the vibe here. What you are. You're feeling >> what? I think there's a tremendous amount of energy. It's been a lot of fun to be here Obviously VM was talking about this hybrid multi cloud world, and Veritas is 100% supportive of that vision. We work with all the major cloud service providers, you know, eight of us. Google. Microsoft is or we share thousands of customers with the M, where some of the biggest customers, the most complicated customers in the world, where we provide availability and protection and insights for those customers has always >> been the ethos of veritas. When you go back to the early days of Veritas, essentially, it was the storage management, you know, the no hardware agenda, the sort of independent storage company, but pure software. >> That sounds. You >> know, years ago there was no cloud, but there were different platforms, and so that that that that culture has really migrated now into this multi cloud work world. Your thoughts on that >> absolutely look, you know, I'll give an example of a customer that we worked with closely with VM wear on, and that is Renault. America's Renault is Ah, big joint venture. They've got a huge ASAP installation 8000 users 40 terabytes, Big Net backup customer. They also use their products in for a scale and V. R P for availability and D r. And they work with us because we are hardware agnostic. They looked at us against the other competitors, and we're hardware agnostic. And because of that where we came in its 60% lower TCO than those other providers. So we that hardware agnostic approach works really well. You were >> Just touch it on this great little bit when you said, You know whether Tiger, whether it's multi, whether it's private, whatever it is, you know we're here to provide solutions. The fact that this stuff is hard to figure out and really kind of boggle the mind a bit, it's very complex. Um, how much of an inhibitor is that? In terms of what you're hearing from clients and in terms of their progress and and their decision making >> well, let me explain where we sit. And we are the leader in enterprise data protection, availability and insights. We work with the largest, most complex, most high route, highly regulated and most demanding customers on the planet. 99 of the Fortune 100 are customers of Veritas. 10 of the top 10 tell coast 10 of the top 10 healthcare companies and 10 of the top 10 financial institutions. I spend about 50% of my time talking to these customers, so we learn a lot. And here the four big challenges they're facing first is the explosion of data. Data is just growing so fast, Gardner estimates will be 175 Zita bytes of data in 2025. If you cram that in, iPhones will take 2.6 trillion iPhones and go to the sun and back, right? It's an enormous amount of data. Second, they're worried about Ransomware. It's not a question off if you'll be attacked. It's when you'll be attacked. Look at what's happening in Texas right now with the 22 municipalities dealing with that. What you want in that case is a resilient infrastructure. You wanna be terrible to restore from a really good backup copy of data. Third, they want the hybrid multi cloud world, just like Pak Gil Singer has been talking about. That's what customers want, but they want to be able to protect their data wherever it is, make it highly available and get insights in the data wherever it's located. And then finally, they're dealing with this massive growth in government regulations around the world because of this concern about privacy. I was in Australia a few weeks ago and one of our customers she was telling me that she deals with 27 different regulatory environments. Another customer was saying the California Privacy Act will be the death of him. And he's based in St Louis, right? So our strategy is focused on taking away the complexity and helping the largest companies in the world deal with these challenges. And that's why we introduce the enterprise. Data Service is platform, and that's why we're here. VM world Talking >> about Greg. Let's unpack some of those, Asai said. Veritas kind of created a market way back when and now you see come full circle, you got multi cloud. You have a lot of new entrance talking about data management. That's it's always been your play, but you came to the king of the Hell's. Everybody wants a piece of your hide, so that's kind of interesting, But but data growth. So let's let's start there. So it used to be data was, ah, liability. Now it's becoming an asset. So what? What your customers saying about sort of data is something that needs to be managed, needs to be done cost effectively and efficiently versus getting more value on data. And what's Veritas is sort of perspective. >> They're really trying to get insights in their data. Okay. And, uh, that's why we acquired a company called Apt Are. So when I This is my second time of Veritas. I was here from 2003 to 2010 rejoined the company of 2018. I talked to a lot of customers. I've found that their infrastructure was so complex that storage infrastructure so complex the companies were having a hard time figuring out anything about their data. So they're having the hardest time just answering some fundamental questions that boards were asking. Boards are saying because of the ransomware threat. Is all our data protected? Is it backed up? Are all our applications backed up and protected and customers could not answer that question. On the other hand, they also were backing up some data 678 times wasting storage. What apt are does, and it's really amazing. I recommend seeing a demo of that. If you get a chance, it pulls information from Santa raise network file systems, virtual machines, uh, san networking and all data protection applications to get a complete picture of what's happening with your data. And that is one example off what customers really want. >> Okay, so then that kind of leads to the second point, which is ransomware now. Part of part of that is analytics and understanding what's going on in the system as well. So but it's a relatively new concept, right? And ransom. Where is the last couple of years? We've really started to see it escalate. How does Veritas help address that problem? And does apt our play a role there? >> Well, Veritas, it just helps it. Cos address that problem because veritas helps create a resilient infrastructure. Okay, the bad guys are going to get in spear. Phishing works. You know, you you are going to find some employees were gonna click on a link, and the malware is going to get in so all you can do to protect you ultimately have tohave a good backup copies so you can restore at scale and quickly. And so there's been a lot of focus from these large enterprises on restoring at scale very quickly after ransom or attack, it's you're not beholden. You can't be extorted by the ransom or >> the third piece was hybrid. And of course, that leads to a kind of hybrid multi cloud. Let's let's put that category out there now. I've been kind of skeptical on hybrid multi cloud from an application perspective in other words, the vision that you can run any app anywhere in the world without having a retest Rica pile. I've been skeptical that, but the one area that I'm not skeptical and the courage with is data protection because I think actually, you can have a consistent data protection model across your on Prem different on prams, different clouds, because you know you're partnering with all the different cloud cos you obviously have expertise in on premise. So so talk about your approach, their philosophy and maybe any offering. >> Well, this is really what sets us apart. We have been around for 25 years, 2000 patents. We protect everything. 500 different sources of data 150 different targets, 60 different cloud service providers, you know, we compete with two categories of players. We compete with the newcomers, and they only they will only protect your most current technology. They don't go back. We've been around for 25 years. We protect everything, right? We also can't compete with the conglomerates, Okay? In their case, they're not focused. They're trying to do everything. All we do is availability, protection and insights. And that's why we've been in Gardner M Q 13 times and where the market share leader also absolutely >> touch me. Someone Dave was saying about the application side of this. I mean, just your thoughts about, you know, the kinds of concerns the day raises. I mean, it is not alone in that respect. I mean, there are general concerns here, right about whether that that'll fly. What do you think? In terms, >> I think the vision is spot on and like, oh, visions, it takes a while to get to. But I think what VM wears done recently in the acquisition, there've been basically trying to make the control plane for compute okay, and their acquisition of carbon, black and pivotal add to that control plane we're gonna be We are the control plane for data protection. I mean, that's that's the way our customers rely on, >> but that makes sense to me. So I think I feel like the multi cloud vision is very aspirational today, and I think it's gonna be really hard to get there without homogeneous infrastructure. And that's why you see things like Outpost to see the Oracle has clouded customer. You've got Azure Stack. So and I think it's gonna be a multi vendor world. However I do think is it relates the data protection you can set a standard and safe. We were going to standardize on Veritas. So one of us So I think that it's it's achievable. So that was my point there. The last one was was regulations. Do you think GDP are will be a sort of a framework globally body of customers seeing there? >> Well, they're dealing with more than GDP are like I talked about that one customer, 27 different regulatory environments and the challenge there is. How do you deal with that when you don't know what you have in terms of data, the 50% of data is what we call dark data. You don't know anything about right, so you need help classifying it, understanding and getting insight into that data, and that's what we can help >> our customers. But howdy, howdy, dildo. In that environment, I mean, I mean, a day raises the point. This is obvious. A swell that mean you cite California right, which is somewhat infamous for its own regulatory mindset. I mean, how do you exist? What? The United States has privacy concerns and Congress can address it, and various federal agencies could do the same Europe. Obviously we talked about now Australia. Now here. Now there you get this Balkan I system that has no consistency, no framework. And so how do you operate on a global scale? >> A. Mentally. It relies on classifying that data right. Understanding what's where and what do you have is a P I. I personally identifiable information. Is it information that's intellectual property? What kind of data you have once you have that insight, which is what we provide, you can layer on top of the regulatory Is that compliance? >> Star I P. Is that Veritas i p. A blender? >> It's a blend of avatar and veritas I p. We have a product called Info Studio that helps toe provide that now Remember one of the things that are net backup product has is a catalogue of data. So we know where the data is primary to secondary storage, and we have all the versions of that data. And then we can run analytics against the secondary storage and not hit the primary systems. Right? So we're out of band to the primary systems, and that turns out to be very valuable in the state's a >> question. The catalog. I can't do this without a catalogue in the enough to geek out here a little bit, but but you've got a little bit when you bring in multi clouds. Other clouds. How do you incorporate you know that knowledge into your catalog? >> Yeah. Art, art, technology work Idol of works across multiple clouds. So we work with 60 different Cloud service providers. There's three big ones represented here today. Microsoft, AWS and Google. We work very closely with all three, and >> that's because you do the engineering at the A P. I level. Our engineering teams work very, very closely together. Okay, um, so let's talk about competition a little bit. The markets heated up. It's great. It's good to see all this VC money floating in. Everybody I said wants a piece of your hide. Why Veritas? >> Well, I explained that, you know, we are the leader in enterprise, data protection, availability and insights. There are some newcomers. They just will support you on your current technology. They don't support the infrastructure you've had for many years. If your large complicated enterprise you have layers of technology, we support all that with VIN amount for 25 years against, the big conglomerates were completely focused. And that's why we're the leader, according to Gartner, in the Leader's Quadrant 13 years >> now. And just as we close up you talked about, you brought up the case in Texas, about 22 municipalities. You do a lot of public sector work states, federal government ever. It's just what is the difference of different animal between public and private and and what you need to do in terms of providing that >> we're struggling with the same challenge. In fact, we work with some of the largest government agencies in the world, and they're struggling with exactly the same challenge. They also want leverage the public cloud. They're worried about ransom where you know they're dealing with data growth. All of these are challenges to them. And that's the, uh So these are common challenges we're addressing. Our strategy is to help our customers with these challenges so they can focus on the value of data >> 18 months in. You seem pumped up. Does having a great time team fired up >> way. Get that right. Great. But you're okay with big geeking out to write a very good thanks for the time You've run out of time. 40 Niners next time. All right. Greg Hughes joining us from Veritas. Back with more Veum, World 2019 right here on the Cube. >> Thank you.

>> from Boston, Massachusetts. It's the queue covering active eo 2019. Data driven you by activity. >> Welcome back to Boston. Everybody watching the Cube, the leader and on the ground tech coverage. My name is David Locke. They still minimus here. John Barrier is also in the house. We're covering the active FIO data driven 19 event. Second year for this conference. It's all about data. It's all about being data driven. Charlie Quanis here. He's the director of data and a I offering management and IBM. Charlie, thanks for coming on The Cube. >> Happy to be here. Thank you. >> So active Theo has had a long history with IBM. Effect with company got started at a time the marketplace took a virtual ization product and allowed them to be be first really and then get heavily into the data virtualization. They since evolved that you guys are doing a lot of partnerships together. We're going to get into that, But talk about your role with an IBM and you know, what is this data and a I offering management thing? >> He absolutely eso data and a I is our business unit within IBN Overall Corporation, our focus and our mission is really about helping our customers drive better business outcomes through data. Leveraging data in the contacts and the pursuit of analytics and artificial intelligence are augmented intelligence. >> So >> a portion of the business that I'm part of his unified governance and integration and you think about data and I as a whole, you could think about it in the context of the latter day. I often times when we talk about data and I we talk about the foundational principles and capabilities that are required to help companies and our customers progress on their journey. They II and it really is about the information architecture that we help them build. That information architectures essentially a foundational prerequisite around that journey to a i. R. Analytics and those layers of the latter day I r. Collecting the data and making sure you haven't easily accessible to the individual's need it organizing the data. That's where the unified governance in Immigration folio comes into play. Building trusted business ready data, high quality with governance around that making shorts available to be used later, thie analyzed layer in terms of leveraging the data for analytics and die and then infuse across the organization, leveraging those models across the organization. So within that context of data and I, we partnered with Active Theo at the end of 2018. >> So before we get into that, I have started dropped. You know, probably Rob Thomas is, and I want a double click on what you just said. Rob Thomas is is famous for saying There is no way I without a training, no, no artificial intelligence without information architecture so sounds good. You talk about governance. That's obviously part of it. But what does that mean? No A without a. >> So it is really about the fundamental prerequisites to be able to have the underlying infrastructure around the data assets that you have. A fundamental tenet is that data is one of your tremendous assets. Any enterprise may have a lot of time, and effort has been spent investing and man hours invested into collecting the data, making sure it's available. But at the same time, it hasn't been freed up to be. A ploy used for downstream purpose is whether it's operational use cases or analytical cases, and the information architecture is really about How do you frame your data strategy so that you have that data available to use and to drive business outcomes later. And those business outcomes, maybe results of insights that are driven out of the way the data but they got could also be part of the data pipeline that goes into feeding things like application development or test data management. And that's one of the areas that were working with that feeling. >> So the information architecture's a framework that you guys essentially publish and communicate to your clients. It doesn't require that you have IBM products plugged in, but of course, you can certainly plug in. IBM products are. If you're smart enough to develop information architect here presumably, and you got to show where your products fit. You're gonna sell more stuff, but it's not a prerequisite. I confuse other tooling if I wanted to go there. The framework is a good >> prerequisite, the products and self of course, now right. But the framework is a good foundational. Construct around how you can think about it so that you can progress along that journey, >> right? You started talking about active fio. You're relationship there. See that created the Info sphere Virtual data pipeline, right? Why did you developed that product or we'll get into it? >> Sure, it's all part of our overall unified covers and integration portfolio. Like I said, that's that organized layer of the latter day I that I was referring to. And it's all about making sure you have clear visibility and knowing what they had assets that you have. So we always talk about in terms of no trust in use. No, the data assets you have. Make sure you understand the data quality in the classification around that data that you have trust the data, understand the lineage, understand how it's been Touch Haussmann, transformed building catalog around that data and then use and make sure it's usable to downstream applications of down street individuals. And the virtual data pipeline offering really helps us on that last category around using and making use of the data, the assets that you have putting it into directly into the hands of the users of that data. So whether they be data scientist and data engineers or application developers and testers. So the virtual data pipeline and the capabilities based on activity sky virtual appliance really help build a snapshot data provide the self service user interface to be able to get into the hands of application developers and testers or data engineers and data scientist. >> And why is that important? Is it because they're actually using the same O. R. O R. Substantially similar data sets across their their their their work stream. Maybe you could explain that it's important >> because the speed at which the applications are being built insights are being driven is requiring that there is a lot more agility and ability to self service into the data that you need. Traditional challenges that we see is you think about preparing to build an application or preparing to build an aye aye model, building it, deploy it and managing it the majority of the time. 80% of the time. Todd spilled front, preparing the data talking, trying to figure out what data you need asking for and waiting for two weeks to two months to try to get access to that data getting. And they're realizing, Oh, I got the wrong data. I need to supplement that. I need to do another iteration of the model going back to try to get more data on. That's you have the area that application developers and data scientists don't necessarily want to be spending their >> time on. >> And so >> we're trying to shrink >> that timeframe. And how do we shrink? That is by providing business users our line of business users, data scientist application developers with the individuals that are actually using the data to provide their own access to it, right To be able to get that snapshot that point in time, access to that point of production data to be able to then infuse it into their development process. They're testing process or the analytic development process >> is we're we're do traditional tooling were just traditional tooling fit in this sort of new world because you remember what the Duke came out. It was like, Oh, that enterprise data warehouses dead. And then you ask customers like What's one of the most important things you're doing in your big data? Play blind and they'd say, Oh, yeah, we need R w. So I could now collect more data for lower costs keep her longer low stuff. But the traditional btw was still critical, but well, you were just describing, you know, building a cube. You guys own Cognos Obviously, that's one of the biggest acquisitions that I'm being made here is a critical component. Um, you talk about data quality, integration, those things. It's all the puzzle fits together in this larger mosaic and help us understand that. Sure >> and well, One of the fundamental things to understand is you have to know what you have right, and the data catalogue is a critical component of that data strategy. Understanding where your enterprise assets sit, they could be structured information that may be a instruction information city and file repositories or e mails, for example. But understanding what you have, understanding how it's been touched, how it's been used, understanding the requirements and limitations around that data understanding. Who are the owners of that data? So building that catalog view of your overall enterprise assets fundamental starting point from a governess standpoint. And then from there, you can allow access to individuals that are interested in understanding and leveraging that date assets that you may have in one pool here challenges data exists across enterprise everywhere. Right silos that may have rose in one particular department that then gets murdered in with another department, and then you have two organization that may not even know what the other individual has. So the challenge is to try to break down those silos, get clarity of the visibility around what assets so that individuals condemned leverage that data for whatever uses they may have, whether it be development or testing or analytics. >> So if I could generalize the problem, Yeah, too much data, not enough value. And I'll talk about value in terms of things that you guys do that I'm inferring. Risk reduction. Correct uh, speed to insights. Andan. Ultimately, lowering costs are increasing revenue. That's kind of what it's all >> the way to talk about business outcomes in terms of increase revenue, decrease costs or reduce risk, right in terms of governance, those air the three things that you want to unlock for your customers and you don't think about governance and creating new revenue streams. We generally don't think about in terms of reducing costs, but you do think about it oftentimes in terms of reducing your risk profile and compliance. But the ability to actually know your data built trust and then use that data really does open up different opportunities to actually build new application new systems of engagement uses a record new applications around analytics and a I that will unlock those different ways that we can market to customers. Cell two customers engage our own employees. >> Yes. So the initial entry into the organism the budget, if you will, is around that risk reduction. Right? Can you stand that? I got all this data and I need to make sure that I'm managing a corner on the edicts of my organization. But you actually seeing we play skeptic, you're really seeing value beyond that risk reduction. I mean, it's been nirvana in the compliance and governance world, not just compliance and governance and, you know, avoiding fees and right getting slapped on the wrist or even something worse? Sure, but we can actually, through the state Equality Initiative and integration, etcetera, etcetera Dr. Other value. You actually seeing that? >> Yes. We are actually, particularly last year with the whole onslaught of GDP are in the European Union, and the implications of GDP are here in the U. S. Or other parts of the world. Really was a pervasive topic on a lot of what we were talking about was specifically that compliance make sure you stay on the right side of the regulation, but the same time investing in that data architecture, information, architecture, investing in the governance programme actually allowed our customers to understand the different components that are touching the individual. Because it's all about individual rights and individual privacy. It's understanding what they're buying, understanding what information we're collecting on them, understanding what permissions and consent that we have, the leverage their information really allowed. Our customers actually delivered that information and for a different purpose. Outside of the whole compliance mindset is compliance is a difficult nut to crack. There's requirements around it, but at the same time, they're our best effort requirements around that as well. So the driver for us is not necessarily just about compliance, But it's about what more can you do with that govern data that you already have? Because you have to meet those compliance department anyway, to be able to flip the script and talk about business value, business impact revenue, and that's everything. >> Now you So you're only about what, six months in correct this part of the partnership? All right, so it's early days, but how's it going and what can we expect going forward? >> Don't. Great. We have a terrific partner partnership with Octavio, Like tippy a virtual Or the IBM virtual data pipeline offering is part of our broader portfolio within unified governance and fits nicely to build out some of the test data management capability that we've already had. Optimal portfolio is part of our capability. Said it's really been focused around test data management building synthetic data, orchestrating test data management as well. And the virtual data pipeline offering actually is a nice compliment to that to build out our the robust portfolio now. >> All right, Charlie. Well, hey, thanks very much for coming in the house. The event >> has been terrific. It's been terrific. It's It's amazing to be surrounded by so many people that are excited about data. We don't get that everywhere. >> They were always excited about, Right, Charlie? Thanks so much. Thank you. Thank you. All right. Keep it right there, buddy. We're back with our next guest. A Valon Day, John. Furry and student Amanda in the house. You're watching the cube Active eo active Fio data driven. 2019. Right back

>> live from Las Vegas. It's the queue covering Inform Attica! World 2019. Brought to you by in from Attica. >> Welcome back, everyone to the cubes. Coverage of Infra Matic. A world here in Las Vegas. I'm your host, Rebecca Knight. I'm doing by two guests. For the segment we have Rick Tam Daniels. He is the VP. Strategic ecosystems and technology than from Attica. Welcome, Rick and Yoav. Enough! He is the VP product for Giga Space. Welcome >> to be here. >> So this is a fun segment. You are the winner of the infirm Attica World 2,019 Solution Expo Cloud and Innovation. I want to get to you in a second and hear all about Giga Space. But I want to start with you. Rick, talk a little bit about this award and about the genesis of it. Where did the idea come from? >> Yes, So one of the things we really wanted to do it in from Attica World this year is create address Some of the most important topics that the customers want to hear about. It's a cloud and I two of the hottest tops the industry every wants to know about it and We wanted to take a lot of our emerging partners there doing some very innovative things than from Attica technology and put them front center. So if you look at the Expo Hall floor right in the middle, we have this almost like an art gallery of all this cool innovation have going on around the inn from Attica. Technology on the idea was that we had attendees come in and actually review the solutions. They had to be really full demos for working demos. Andi could vote on the app. They could say what their favorites were, and the end result is happy announced. Giga Spaces are big winner. >> And so yeah, attendees would vote on the app and so get so big a space. Tell us about it. You're based in Israel. >> Yeah, so aren't is based in Israel or H Q is in New York. Basically, the biggest bass was we've been in the market for more than a decade, deployed like in the largest enterprise in the world. You like banks like Bank of America, like international. I ot like another electric largest airline, largest railway companies, and basically we provide the speed for the application and big data infer structures so they deploy, like real time use cases like fraud detection, economic pricing, predictive maintenance, all those different types of services that required the speed on the big data side. >> You're all about speed, >> all about spirit. If you need the speed, we're the provided for you. >> Well, that's that's very exciting. So talk a little bit about the conversations that you were having with some of the attendees. What kinds of questions were you getting? >> So I think a lot of customers, during customers of ours and informative are talking about the move from kind of historical analysis to more proactive, event driven analytics when you want to be able to instead of interact with the data you want today, one so and now you want to baby toe Dr Analytical on the moment as soon as it happened to provide it that burrito Theron your online processes and instead of kind of offline processes. So, for example, fraud detection, which is the most, is the example. You want to be able to 100 further analysis on on the payment of a soon as it happens and Emilie second level and not like a few seconds after the transaction was over. So it's again. We're talking about the speed. They're very to handle high or amount of data with related sub second response time. >> And how are you using in from Attica? >> Cool So well, We've been working lately with Informatica very tightly with both their product team, and there are in the team because Israel, India, the US, on integrating with some of their different products were basically we've built kind of what Gardner calls the digital integration hub. It's like the next Jan big data architecture, which provides you both. Informatica side that allows to ingest any type of data could be taxed logs, transaction payments, anything you have together with their medal, the meta data management and on top of it, using Giga spaces for the real Time analytics and the high performance in speed. >> So, Rick, I know that this was attendee chosen, so there's no rigging here, but I'd love to hear what your thoughts are in Giga Space in terms of the innovations that they're doing in these in these very important problems, like fraud detection and predictive maintenance, these air these air big problems. That company's heir really wrestling with. >> And I think what's exciting about the solution they had. It was a great business case, right? I think that really resonated. Attendees looking at Everyone can identify with Fraud Analytics. Everyone's unfortunately, probably on a victim of it, so they could see how it works. I think it also focuses on the aspect of a iva. How do operationalized a I? So is the whole model building piece of it, And Infra Matic has a strong player there as well. But now you say, Well, let's actually have the model we need to execute quickly. How do we do that? You know what the biggest spaces technology, but also combine it with the right historical context, right to make the right decisions. So they're really does hit on. How do you actually take a I and make it a real thing? >> And the other important part is the business case in what you were just saying in terms of if a if a customer is the victim of fraud here, she blames the institution, not the hacker on. And if there's a problem with with an airline maintenance problem, you blame the airline. Of course not the faulty problems that it was having. So so I think that that also really shows what what's in the future. What are you seeing? Kind of Mohr innovations that you want to add to the biggest space platform. So >> I think we're working to their lot about like Rick was mentioning about operationalize ing A. I so a lot of challenge today off moving from the research development training part of Day I or the machine anymore to move to production. Let's say you're a payment provider you have the more than you can detect fraud, but your ability for you to run it on millions of transactions a second in a sub lets a few millisecond level. That's the biggest challenge. And if you do it in there a few seconds after the transaction was over, then the you know the last of the fraud or the wire was already happened. So again, the operation was part of taking your more than formula that sound flat from putting in production with the scale of the ingestion rate low latest c you know, scaling on pick events like Black Friday or Cyber Monday. That's the biggest challenges on the production systems. >> Now the speed is of the essence. Rick, this has been a successful experiment trying this. What are you hearing from attendees? Did they like it where they sort of How do we Dad? Does this work? What is this about? >> I think they're really enjoyed it. Every time I look, I went over to the zone. It was full of people having deep conversations, really getting into the technology and understanding. Because as I mentioned these air topics that I think everyone came here to the show to really learn more about How are they going to get where they're going There, Cloud journey where they're going to go in there, eh? I journey. It's a great feedback from attendees. Lot of active participation. So I'm going >> to do it. We're going to see it in >> your batter. It's gonna be great. >> So now that you're the winner, you're going to be up there on the main stage, getting some recognition. That's exciting. What? What are you going to take back? Teo, I know you're based in both Israel and New York. What? What? What does this mean for your company? >> So I think the next step is taking it to the business side. Right? We want to make sure that the joint offering and the joy in partnership moves to the next stage taking it to the next customer. We have some joint customer. We have some new prospect. Were a lot of late from the show here, sitting next to me, sitting side by side with the other partners of Info Matic. I like data breaks and slow flaked and clothes are so we have a lot of joint offering and solving real time like business and off the largest, most challenging enterprise we have, like, you know, largest banks, largest airlines, largest like railways companies. So I think the next step is moving, taking it from the exhibition to the field. >> Great. Well, this is terrific. Congratulations. Once again. Really exciting. Really happy for you. Thanks so much for coming on the show. Thank you. You have been watching the cubes live coverage of in from Attica, World 2019. I'm Rebecca night. Stay tuned

>> Live from Washington DC, it's theCUBE covering Inforum DC 2018 brought to you by Inforum. >> Well we are back here at Inforum 2018 in Washington DC John Walls with Dave Vellante. We are in the nation's capital and joined right now by Massimo Capoccia who is SVP of Info OS and Rick Rider, product director at for common at Infor. Gentlemen, thanks for joining us, >> Thank you >> Good to see you both. >> Thank you for having us >> Thank you >> Let's start first off good job by the way >> Welcome to keynote.. thanks stage this morning we had some time to shine out there. Your thoughts about the show in general so far? We've been a couple of days in now, how is it going for you? >> Yeah, very very well the customers have received the Infor OS and the technology innovation and what we do with the AI very very well. You know lots of people in the hub, lots of sessions, so lots of interest on the technology innovation for Infor OS and for Infor as well. >> Sure, Rick for you? >> Yeah, its been great, it's been interesting. What we are finding out is getting a lot of this out in front of customers and partners is bringing up some interesting opportunities for us moving forward. So it is not everyday we get the opportunity to get in front of these many people within our network, so it's been great. >> So we'll be hearing from folks Let's talk about AI, especially for those who maybe don't know, haven't embraced it yet. What are the Hesitation, reservations, I mean what are you hearing from them as far as what's going to trigger them to make a decision? >> Yeah, to be honest I think they have been hesitant in the past just because it hasn't really been clear. We have talked about AI in the technology community, it's been hard to define. Some people might in fact define incorrectly, because we are making assumptions about what technology can and can't do. I think what we are uncovering. I feel we've got a pretty unique approach to what we are doing here with Infor OS and common connected to it. We are working directly with customers to identify use cases on how we can apply AI. Rather than just starting at the top and saying, "hey we should be doing all these great things and let's see how we can make it work for our customers." It's kind of we are flipping the script and starting backwards and saying, "hey what are the issues? What are the opportunities the customers have? How can we build the technology using AI to make it meaningful?" So we have business impact they want. And by doing that, I think it's a lot more understandable, it's a lot more relatable, it's a lot more trust able from our customers. >> We from in theCUBE here, watch and observe the ascendancy of the hype and so called big data. And which is sort of moderated now. But in data is plentiful, insights aren't. and so we feel we have come to the conclusion that the innovation recipe, if you will, for the next decade or so, is data, applying machine intelligence, that data and having a cloud to be able to scale it. Having cloud economics to be able to track innovation. You guys seem to have all three >> Yeah >> Of those pieces But AI without the data is just.. I don't know what it is? >> Right? Excited. >> Data without the ability to extract (laughs)...you know insights... What good is it? >> Right >> Yeah. Yeah. >> Then you got to have cloud to scale it. Your thoughts on from a platform perspective with that means? >> Yeah, Absolutely. So I was seeing the interview that you were doing with Charles, says we build this platform from the beginning. And one of the big element is that we have you know, made it possible to synchronize you know real time all this data that the applications will generates, into a single place called the data lake. So when you have the data and data lake then you can do many many things and not only analytics and reporting, which is the classical use case, but now it allows you to do AI. And the difference is we don't have one domain of the data. So some of the vendors have only CRM data or ACM data or financial data. With Infor we have all different domains of data. So we can go from ACM from financials, to asset management, to IoT readings for IoT devices, to ERP and CRM also. So when you combine when you can cross and combine the relationship with this data, then your AI is much more smart and intelligent. When you have only the AI focused on a domain, is less intelligent. So that's actually the power that we do. And our Coleman will take advantage of that, you know that you know rich data lake. >> Okay and we talked a lot to someone earlier about the stack. and that the bottom layer, is the OS >> Yes >> So everybody is familiar with what the operating system does in computer science. How is your OS similar and different? What's the function that it does if we can double-click on that? >> Yeah, so we.. It's in for operating service and we call it a service. Because it's not actually in the database and operating system level, right? So we believe... We are more in the application technology. We are the layer that takes you know the bare technology and makes it usable for a business, for an enterprise. And we build applications on top of it. So what we believe at Infor, when you have an architecture with this composite of a suite of applications. Or even the new Microsoft architecture that developers built. You still have to deliver a uniform user experience, a uniform business process, uniform security and data management and even AI. So if you look at services like Facebook or Netflix, they have maybe the entire Microsoft architecture thousands of that, but the experience is one.alright? Thus what we want to bring it to the enterprise. Infor OS big.. that unify the experience both from the end user and business process, to the enterprises. And we do it for all the cloud suites. Infor OS is all the cloud suites not just one but all of them the same services. >> So, I love the Netflix example, because if you think about digital... digital transformation, digital business. My experience with Netflix is just with Netflix I don't have a... There's no marketing department, sales department service department. I do have a problem, I go to Netflix on my app(laughs) I interact with... >> Absolutely >> So that's... I considered that what's called a product. So Rick, how does this capability get translated into product? >> Yeah. You know one thing that you brought up a lot earlier is, with all this interconnectivity and how we have to package things. So we've got all these different services that OS offer. So we've got the data lake, we've got the API gateway. We've got the integration platform, and... All those pieces is what bring this together to where, we can actually deliver something to our customers. In my case, it's an AI model or it's RPA, because of all these things are packaged together. So they don't actually see what's happening, because it's already packaged for them. >> Okay, so... what I was saying the Charles, you probably you might have seen it, is when we first discovered Infor was like, "What do you guys do?" It wasn't clear exactly what you guys were doing. But he said, and I believe him, was always our vision to have a platform. Now that... the... it's not opaque anymore, the platform is pretty clear. Now you've added the Birst Analytics, you've added Coleman AI on top of that. So you know Andy Jassy AWS always talks about the flywheel effect. So I suspect that you're entering this flywheel phase. What is that phase? What does it kind of mean for you guys, for customers, in terms of innovation? >> Yeah, is a very good question. Actually I worked for years with... We started with this platform, this journey with Charles and we start really with... okay, what's the first first issue. You know, we want to solve the integration promise. We want to give an integration platform. Then we build that. Then we start to say, okay, we want to unify the experience. We build a unified portal with a single sign on. Then we say, okay, we want to unify the data, we build a data lake. So we continue to build out the platform. We are now at the level we have a platform and its unique platform because you can say it fits in one Magic Quadrant. Because yeah, it does the iPass in the past. So with all these magic quadrants. But it doesn't fit in one, it's in all of them, right? So and in... The analyst looks at that and say, Okay, we have a platform doesn't fit in one, if it's in all of them, right? >> The Magic Quadrant is now becoming outdated, because... >> Exactly. >> Because its as you said... I don't need 15 stove pipes... >> Exactly. >> With the stove pipe thinking. >> Exactly. So.. >> With all due respect to my friends at Gartner (laughs) >> But the Fly wheel is... Yeah, the platform is going to become more and more important, relevant. The customers that... you know are in the cloud, are not in the cloud, they will use the platform to get to the cloud. It's going to be a new enabler for those customers are still on premises, to go to the cloud. We the Infor OS is enabler for hybrid process. So some some application can be in the on premises or in the cloud. With the OS they can take the journey and get to the cloud and their own place. >> So architecturally, you don't care. >> We don't care what the application side, >> Okay. But you've certainly done a lot of work to optimize AWS, you know, we're AWS customer, we know it's, it's not trivial, you have to, you know work it. It's simple, developers love it, but to really take advantage of it, integrate it with your processes will take some work. But architectural, you don't care. But it's not. That's not a that's not an offering statement, is it? I mean, today, can I run that multi cloud, run their software anywhere? >> Well >> Doing that? >> Well, today, we have a mix off, we use open source library, but we do utilize AWS, the data lake is built on S3. On AI, we use Laks, or Sagemaker for the training on the models. So we do a lot of AWS, Because it gives you our computing power and any out of the box solution for certain certain pieces. What we do we build interfaces to our application, so that our customers doesn't need to take care of all the plumbing, it's all interconnected and done. So that's, that's one of the power of Infor OS. It brings that application technology layer, between the business application and you know, the basic, you know, technologies >> And the customer doesn't want to think about the plumbing these days, right? >> Right. >> To most customers, infrastructure is irrelevant, you know, again, apologies to my hardware, friends, but they don't care about hardware, right? I mean, >> Yeah. >> It's interesting, Charles said in the keynote yesterday, when we were an onPrem software company, we didn't manage servers for our customers. Customers didn't care really about the server, and any more than they care about the plumbing today, right? >> Right. Yeah. And if I want to relate that to the AI space, all the training, all the science, all the highly computational things that we have to do, customers don't really want to know what that means or how to use that. So what we're actually doing is in conjunction with some of the AI services we're working with, with AWS is we've built a modeling platform to where they're operating in one location. They've got no concept of where this is hosted, what's going on behind the scenes, and then we connect it, we expose an API, and they can do any sort of RPI that they want to. >> So...I mean you are talking about when you talk about your customers, and they don't care about, you know, what's behind the curtain, they just wanted it to handle, maybe something up front, but yet, you have to understand what they can do. Right? You have to understand their potential. So how do you do that, when you're dealing with different companies, different sizes, different priorities, different challenges, they're different technology stages. How do you all address them individually and help them get to that better place? >> Yeah, I think, you know, it's never a one size fits, all right. So we try to give them what we've called citizen developer tool sets in the past. And I've even started to try to say, citizen data science tool set. So how can we make it more consumable by all types of users? So yes, we can provide templates, we can create these things that might work somewhat out of the box. But each one of these customers their data is, is just slightly different than need to make tweaks. So we really want to be able to, you know, provide all that flexibility. And it gets back to we start with our use cases. And then we build from there. So we get all that feedback, and make sure we're making we're hitting those key points. >> So I want to pick up on something you said about citizens, citizen data scientists. I've used that term before in front of data scientists some of them don't like it, right. That denigrates what they do. And it's true, a data scientist is a math whiz, maybe a stats, was there a data hacker they can code, Okay. And that's not every business person, right? Clearly. However, when you think about things like our RPA, I mean, you really want to enable business users. You don't want to repeat the same problem that we had for years with things like decision support, where you had two people in the company that knew how to build a Cube. And you had to have line up with an ask, please can you build my cube, I have a deadline while everybody else does too. Just there wasn't effective. So things like our RPA and low code, citizen data scientists spread that technology throughout. Now, part of that is having a platform that is I vision a studio, whereas a user, I can actually create some kind of process and code that in software, you know, code it. It is something that's repetitive that I don't have to do every day. I do it every day, I do it the same way. Somebody gave the example might have been Soma, I know somebody else, expense report approval? >> Yeah, yeah. Yeah. >> I've never not approved and expense report. I don't crack them open. Look, I don't know, maybe every now and then somebody does. Somebody does, by the way. (laughs) >> (shouts) So don't get any idea here. >> I always press the approval button, right? Why can't a robot do that and look for anomalies and say, Oh, a $300 scotch? That's... >> Yeah Yeah. Absolutely... So is that a capability that you're working on, that you have today. That what I'm envisioning a studio and then I imagine this got some orchestrator... >> Yeah. So yeah, so if you look at throughout all Infor OS, is completely Model Driven. So either you, you build a new integration, or a workflow, or a, an AI model, or a even, we have a platform as a service Mongols, where you build with low code applications. So you can take it to end to end where you you train models in AI, us suppose as an API. You can build your own app on top of it with low code and then, you know, give it to your business users. Very, very simple and in the cloud. You know, in the browser and you can do every customer can do it. So that's very important for us. We work from the beginning with this model to give you know, the tools to everybody, not only an elite of people that can do and then you know, there is the rest of the people that cannot do it. Every new computer science engineer that comes out gets you know, AI out of the box. When I did computer science, Yeah, I got some AI, you know, but it was not really like today. So every everybody can program AI now. And we want to give this tools to every developer and not just went to an elite. >> Yeah. And the workflow prediction model that you've been talking about. If you want to come join us down there, we've actually got a model that we're working on for that exact use case. >> Oh, cool. >> Yeah. So yeah. Giving the ability for those business users, as you say to... it's almost like lowering the barrier to entry to a lot of this AI technology. It's not devaluing or anything, data science, because we've got those advanced tool sets, to where if you want to do something in our studio, bring it over into the Coleman AI platform. You certainly can, we're not devaluing that. But you know, what, if we want to start and take little bites off and you want to give this in the hands of the business users, we've got a great solution for that. >> So this is all the cool stuff. This is stuff that business users care about? I mean, do they... My question is, do people care about what's under the covers? I mean, are they asking you or what's the database? And how does this work? How does that work? Or they just really want to focus on that functionality that they're getting in the business impact? >> Yeah, with the advent of the cloud, you know, people, just those questions like we sh... you know, operating system database, which technology you use? it just went away, right? So people just want to know, the functionality and the value. You know, maybe there are companies that I have more, you know, an IT architects and they want to know, more, you know, that's what they want to go down into the details, then you go into the architecture of the OS, of the application, we integrate with AWS. So we do that as well. We, you know, we talk to customers about it. But most of them, they just want to know, okay, "how can I use this platform to make my business better," right. So it runs the cloud suit, but I now I can connect to other cloud services, I can connect to the other application, I can build my own app and bring it in. So they want that business value immediately. And that's why we built this Infor OS, so that they can run the cloud suite and add business value. >> You guys at last year's analyst meeting, gave a little glimpse of some of the architecture and it was very useful, actually, analysts love that kind of stuff. I didn't get the invite this year, maybe something the some smarmy questions I ask. (laughs) But I found that actually quite impressive in terms of the tech behind it and the RND that you guys are doing there. But ultimately, it comes down to what products you can build and what business impact that has, right? >> Yeah, absolutely. I think where we're heading with this, we really don't have many limitations for what we're seeing right now. We're built in a way to where we can apply to every single industry, every single cloud suite. We have the unique, you know, possibility to where we can go through all these different industries and create these sort of value. So we've got a very unique future ahead of us. >> So. Yeah, So how much better or can you give us an idea of a road map a little bit about what you think Coleman can go? >> Yeah so, we're starting to play in the image recognition space a little bit. Maybe looking at how we can utilize things like drone technology and do inspection reports, those sort of things. It's maybe and at least my opinion, I think others kind of express the same, it's maybe the least developed area and we want to make sure we have something that works for customers the way that they're going to see value immediately. But also we're starting look at edge AI. So how can.... not necessarily just an IoT, but how can we how can we build something in the cloud? How can we create a model, then deploy that for our onprem customers who aren't quite ready, so that they can get that AI experience as well, and that predictive insight. >> It's dvallante@Siliconangle.com Is that right? Your email for the invitation >> David.valante... >> (laughs) to make sure... so what will exchange information later. >> We'll invite you (laughs) >> I'm sure this is not your territory. (laughs) >> Its on me. >> Thanks for joining us. >> Thank you. >> Its been a pleasure. Thank you for the time we appreciate that. Back with more here from Washington DC right after this. You're watching theCUBE.

(peppy music) >> Welcome back, everybody, Jeff Frick here with theCUBE. We're at our Palo Alto studios for a Cube Conversation. It's a great way to get a little closer to people when we're not at the hustle and bustle of a big show. Although this guest just came from a big show. He's Eric Seidman, director of solutions marketing for Veritas Technology, just back from Microsoft. Welcome, Eric. >> Thank you very much. >> So how was the desert? >> It was very hot. >> (laughs) It was very hot. >> It was very hot. >> So big Microsoft partner show, Inspire. What was kind of the vibe? Things are obviously going really well for Microsoft. We read about they're gaining market share on the cloud space against Amazon. So you know, Satya really seems to have done a great job moving that company. >> Indeed. So there was a lot of focus on Azure at the show. But I thought it was a great event for their partners that are attending there, not only to get more immersed in the capabilities of Microsoft, but also to meet with companies like us, like Veritas, to be able to learn more about our solutions, how they complement what Microsoft is doing, particularly in the public cloud space, and help those partners generate more revenue and help solve the customers' business problems as well. >> It's interesting. You guys are big in appliances. You've got a couple appliances, and we'll talk about specifically the Flex appliances. But more generically, some people might have a question. There's all this rise of public cloud. They're getting more and more percentage of the workloads. How does an appliance fit in a public cloud world? >> Yeah, so that's a great question. We got that a little bit at the Inspire show as well. So first off you kind of have to consider that everything that we do as a company comes out as software first, right? So we're software-defining everything, basically. But there's a lot of consideration that we look at what our customers' requirements are. And so there's many customers that prefer to consume in that agility model that software-defined allows them to do in terms of being able to very quickly scale, Add new features and capabilities on the hardware of their choice. You know, software-defined, particularly storage gives many customers that cloud agility that they're looking for. But there's other sets of companies that are also looking for that same software features and capabilities but prefer more of an appliance consumption model. Maybe they're not ready for that bifurcated type of approach to software and hardware, or they're looking for faster implementation of a fully supported solution. So we provide our customers kind of the best of both worlds. They can consume our solutions, our data protection and storage products as software or as appliances based on the requirements of the company. >> And what's kind of the special, for people that aren't as familiar with appliances, we always hear about industry standard hardware and you know, the hardware's going to zero. What's the advantages that you can accomplish with an appliance that you couldn't just use, you know, with regular kind of off-the-shelf hardware? >> Yeah, well, certainly we take care of that integration and task, and it's a fully supported configuration. So they get all of the benefits of that. But we also, I'd say our unique capability from an appliance standpoint is that it truly is software defined and remains software defined. So as an example of a customer chooses to deploy our Access appliance, which is a long-term retention appliance which complements our net backup, our data protection solutions. Even though they're getting it as an appliance, that software license isn't tied or locked to that appliance. It's still licensed separately. So as an example, if we come out with a new type of storage appliance, they're free to move that license to it. Or if they choose to even move to a third-party hardware, the newer, greener, cheaper pasture storage server, they can transfer that license to that. So while they're consuming it as an appliance for all the benefits around a fully supported solution for them, We still provide that software-defined flexibility or capability, so that's one of the unique aspects of that. >> And then really, you deliver kind of this mixed benefit to the client as well, so they've got the benefits of having it locally. You can put fast storage in there and have local storage as well as manage the pushing out of the other data that maybe is more appropriate in the public cloud or whatever. >> Yeah, so if we take kind of a look at what we were speaking to our Microsoft partners at Inspire, it was around our appliances. And like you were saying, well, why are you talking about appliances? You know, a big push to Azure and all. So we were able to show them with our Flex appliance, which is a very unique container-ized solution for multiple net backup solutions, being able to scale those out in containers versus physical storage devices or servers and also turn on or off cloud tiering capabilities as a service as well. So customers may have a requirement for multiple net backup domains, and in the future they want a tier to Azure or another public cloud, they can simply turn on that cloud tiering service in this Flex appliance. And then our Access appliance that I mentioned that complements our net backup solutions for on-premise long-term retention can also tier to Azure or public clouds as well. And those things both work together where we have very high performance retention in the Flex appliance for the best RPO RTO of the data protection services there. And that can tier to Access for additional on-prem storage at a lower cost per terabyte. And then either or through both, tier to the cloud, depending on the type of data. So a customer may have a requirement where they have to keep data on site, maybe it's for compliance or governance reasons. And then other domains may be okay to move that data longer-term into public cloud. So the appliances provide that type of flexibility that enables the customer to put the data where it meets the requirements, either for cost performance or for compliance requirements. >> So I'd like to kind of go up a notch. You know, you're out with customers all the time and listening to their needs and requirements. We hear all the time the explosion of data, unstructured data, regular data. How are you seeing that really manifest itself in customers that have specific problems today that are sitting at the table with you guys? I mean, what kind of stories are they telling you of kind of the rise of the data quantity that they're having to deal with? I don't know if you have some interesting anecdotes. >> Yeah, well, certainly it's not getting deleted. So more and more of it is being retained for various reasons. Some of it's for data protection reasons, ensuring that they're able to meet, like, litigation requirements and things like that. So there's a lot of long-term retention for those type of requirements. But more and more we're also seeing the growth of this type of data just for the use of mining it and getting more value out of it. They're not deleting it. They're finding that there's ways to monetize that data in different means. So we see that, and that's one of the reasons why our Access appliance has been very well accepted in the market, because it can retain vast amounts of data on-prem at a low price point and be utilized for either backup data protection aspects or the archival in these cases as well. >> So one of the concepts we talk a lot about on theCUBE is about data as a balance sheet asset. It never really was before, right? It was a liability, because you had to buy a bunch of gear to store it. And you couldn't keep it all, and it was too expensive, and you threw stuff away. Clearly the pendulum has swung, and now data's very valuable. Some argue it's the core asset of the business. So I'm just curious if you've seen a change in the investment profile, the ROI metrics, some of the ways that people are making purchase decisions in a world where they want to keep everything, where they recognize that data is an asset. And now it's really, it's not a cost to hold this stuff that's expensive to hold, but it's really now more of an investment to drive an asset that's hopefully going to drive cost savings to get into new businesses or opportunities for revenue. How is that manifesting itself in some of the decision processes that the buyers are going through? >> Yeah, I mean, often we hear a lot of those similar problems within our customers that we talk to. And I think the biggest challenge is, as you were talking about, the cost aspect. They're really trying to figure out, well, how do we move from a cost center or burden for storing all of this data to a value that delivers value to the company. >> Right, a business benefit. >> A business benefit from a cost nature. And we help the customers achieve that in many different ways. We have an object storage offering that has an integrated cognitive engine that can provide very, very deep search capabilities as well as integration into external ML and AI facilities to extract more value from the data. We have some cool products like info map that will allow a company to really see where all those important assets are stored and what type of data that they have and where it's located, you know, basically data center wide, company wide, and even what's in their cloud. And that's from info map. And so they can see it. Like, they may have important data that needs to be treated with GDPR compliance. How do you know where that's located, right? And how do I make sure I'm meeting those type of requirements? So those are some of the kind of tools that we're helping our customers move from that cost center to more of a value proposition where they're delivering business benefits and revenue to the company. >> Right, right. I'm just curious on the GDPR thing. We had a little thing here when it was GDPR day just a couple Fridays ago. >> I heard about that, yeah. >> How are those conversations? Was it a Y2K kind of a moment in the months leading up to it? Was it not that big of a deal? Did people get out in front of it? It seems like the regs passed a long time ago, but the due dates were delayed for quite a bit. And then oh, my goodness, it's GDPR day. >> Yeah, well, I was in the industry back in the Y2K days. I don't think it had that, it didn't have that same type of feeling of impending doom or something, like we don't know what to do. >> Right, until the first couple of clients drop it. >> Yeah, well, maybe, but I think it was more about, well, this is predictable. We've been working on GDPR, being able to provide the compliance to that for a couple years before that regulation came out, you know, working with our customers in Europe and stuff. So we've built a lot of infrastructure and software and capabilities that helped customers achieve that, you know, before the requirements hit. So I guess from our standpoint at Veritas, while it looked pretty menacing, you know, maybe from the outside, but we had been working with our customers all along so that they're already in that mode where they can comply with those new requirements. >> Right, but it just seems so counter to what computers do well. Computers write very well, and they copy very well. You know, so much effort in terms of your product and stuff is protecting that data, replicating the data, duplicating the data, making sure. And now with the GDPR requirement, I want you to take me out of your system. Like, where exactly is that record? And how many versions of that record are stored where? It's kind of that funny movie they made about the cloud. It's in the cloud; it's everywhere. It's nowhere at the same time. So was that kind of a unique challenge, Or you guys have been on top of that for a long time? >> Well, we've been on top of that, right? So that's where I think we brought this capability to our customers, so they were like, we're okay now. Take a deep breath. We're okay, because we have tools that can classify information, and we've had those for a very, very long time. So the customers can already know what their PII data is, where it's located, and then automatically tree it in different manners, like provide the right type of security associated with that PII data, store it in the right locations. All of those type of aspects, we've already automated that process through any of our various capabilities, some of them within our storage product, like I've mentioned, the cognization of our object storage and external software that we bring to the party, and of course, the visualization of it so that you can see it all through the info map. >> So I'm curious, we're halfway through 2018, which I still can't believe we're halfway through 2018. So as you look forward, what are some of the priorities for the balance of the year? What are some of the priorities going forward? >> Well, for us it's still meeting, helping those customers meet their GDPR requirements and ensuring that they're on top of those. Being able to visualize where their data is, is very, very important. And then like we were talking about just a couple of minutes ago, extracting the value from that data. So you'll see some new technologies coming from us later on this year that I'm really excited about. I'm looking forward to talking more about those with you in the future, and our customers that are going to continue that value proposition. We'll continue to help them store vast amounts of their growth of unstructured data, doing it economically, doing it in new ways, and again extracting more value from those data sets as well. >> Yeah, I love, you used "vast." You know, the rate and the amount and the quantity and the value is just going up, up, up. >> It is. >> So you guys are in a pretty good space. >> We think so, yeah, very good. >> All right, Eric, well, thanks for taking a few minutes. And welcome back from Vegas. I'm glad it's not 115 here for you. >> Yeah, so am I, thank you very much. >> All right, he's Eric Seidman and I'm Jeff Frick. You're watching theCUBE. We're at Palo Alto studios having a Cube Conversation. Thanks for watching and I'll see you next time. (upbeat music)

>> Announcer: Live from Las Vegas, it's The Cube, covering AWS re:Invent 2017 presented by AWS, Intel, and our ecosystem of partners. >> Hey, welcome back everyone. Live here in Las Vegas, the Cube is covering exclusively the AWS re:Invent. We've got two sets. This is set one, set two behind me. We're here with a startup called Zettabytes, Rishi Yadav, Cube Alumni CEO, and Sudhir Janir, CTO. Hot new start-up, Zettabytes. Formerly, you're an entrepreneur, your other company's still going, Info Objects. Welcome back. >> Thanks for having us here. I dont know it's the seventh time, eighth time? I mean, we love Cube guys. Yes, so Info Objects is the mothership and doing really, really great, and today we are launching Zettabytes, which is our hybrid cloud, cloud integration platform. We are starting with AWS, and then it's going to have integration for the clouds. >> So start-ups are impacted, and we were talking yesterday about kind of a demarcation line between a point in time. I say 2012, maybe you can say 2014, if you were born before 2012 or 2014, you probably didn't factor the cloud as large scale as it is. But after that day, you're a new born start-up, you look at the cloud as a resource, an opportunity, so what's your perspective as an entrepreneur, a serial entrepreneur, you start a company, you look at the big beast in Amazon, opportunity, challenge, what's your view? >> So actually 2014 was an inflection point for two things. Number one is that the big data, big data, it started with the hyper scale companies, and at that time, you're talking about Facebook, and Yahoo and other places, but it was not enterprise-ready. And we suddenly saw the option. John, you have been following the big data directly from the, I think the cloud data basement days, right? So in 2014 it got a better option. And the things like security and governance, which were offered not much concern earlier, it became front and center. Another thing which happened was around 2014, 2015, timeframe, the public cloud, which were for eight, nine years, essentially AWS, that was about 70 start-ups about saving money for them. That also started getting an option, and the enterprise, and when you're talking about enterprise, there you cannot tell them that if you deploy 10 servers on AWS, it's going to save you $200,000. They would say you already have $500 million spent. We have these huge data centers, so they needed some more value than that. >> How about your company Zettabytes, so you're launching a new company, what is it, what does it do, why are you starting it? Take a minute to explain what you're doing. >> Yes, absolutely. So the Zettabytes idea came from this convergence of the big data, public cloud and IOT. And market is ripe for it, and the challenge was that we talked to a lot of customers, a lot of them have already started working in the cloud, and some of them were planning to start the journey in the cloud, and the challenge was that at the same time they also wanted to build a big data link, Andy talked about it a lot today, right, assuming the largest big data lake. So now the question was that do you really want to go the old school route in which you are using Hadoup and other services around it, and then you do lift and shift to AWS? And then you transform to PAS. So you spend one and a half, two years in doing Hadoup, and then you spend another one and a half, two years, doing the PAZ, that cloud-native transformation in a better way. And then realize that whether the clients are on AWS today, or they are going to be in one year, they need the same experience, the same cloud experience, the same AWS experience which they have on their AWS, they want on-prem. Now that includes the other cloud-native APIs, but also the agility and everything else. >> So let met ask Sudhir a question. So you're the CTO. I know you're technical too, so I have both of you. So the old days, I'm a developer, I have my local host, I'm banging away code, and then I go, okay I'm done. And I say, ship to the server for QA or whatever. And even the cloud. Businesses want that same kind of functionality on premise. They want to go to the cloud, so all the developers are changing, they want that local host like feel. They don't wanna have to write code, ship it to a server, put it through the cloud, they just want instant integration to Amazon. Is that what you're doing? >> Yeah. >> Did I get it right? 'Cause that seems what I think you're doing. >> Yes, you develop that seamless experience. So you have the same set of APIs, which you normally would do on AWS, so still use the same data, still use the same data blue CLI. Use all data blue APIs, we're accepted those APIs on this platform, build a good base, based on those APIs, now using Kubernetes, you decide where this workload will go. >> So one of the challenges of AWS though is that they release services like constantly. I think we had the announcer at the keynote today, it was like another hundred or so services that they were releasing. So how do you choose which ones? Do you support all of them, or do you focus on specific ones? >> No, first we are focusing on a few specific ones, which are mostly being used. We are starting with Lexi, for example, as three. Lamda, Kenesis, Kafka, and this bargain is DFS are there from day one also. And all of these are Lexi, we are doing Lexi, today official announcement, they have launched Kubernetes Now. Container management service. We have that flexibility from day one only. So we have that in our outlines, and using that, even for example, your workload says, some of the piece should run on that, on Lexi, on permalines. Some of the P should go to the cloud, that is also possible. >> So you're selling an appliance. >> Yeah, yeah. The one million Lexi, or Kubernetes million might run on the AWS, few of the menus might run on your uplines, you can easily Lexi's do the all the container management. >> This is model, they pay for the box, or is it a service? Or they get the box as part of a service? What's the business model? >> So we do both, so it's a (mumbles) format, as well as an appliance, so the beauty of appliances is that everything is already optimized for you, so that makes it very easy. But if a customer has a chosen hardware platform, and we can definitely deploy it on that also. And adding to the hunter services thing, I think that's a great point, that AWS has so many services now that can you really go and figure out which services are most optimized for your needs? So that's where you need a partner on prem-site, and that's what we are going to be, and another thing as Sudhir mentioned, the EKS which they announced today, Kubernetes, so you have Kubernetes on-prem, AWS is supporting Kubernetes, and we are also supporting Kubernetes, so if you want closer to that level, it's completely seamless. >> And you were saying before, your target is enterprise has been good, so the appliance delivery model and the simplicity of being able to manage a lot of different services. Clearly being able to manage things at scale is something that enterprisers are crying out for because otherwise I have to, AWS is great, if you wanna hand build everything yourself, it has all of those components that you can assemble like Lego, but if I'm an enterprise, I want to be able to do that at scale. Humans don't scale very well, so I need some technology to help with that. So it sounds like you are actually providing the leverage to get enterprise humans to be able to manage AWS. Is that a fair characterization? >> Absolutely, that is definitely a very important aspect of it, and another aspect of it is that if you do not want to have some workloads on AWS for one thing or another. IOT workloads by definition cannot be on AWS. Low intensive workloads. They cannot be on AWS. In the same way the workloads in which you need some actual level of security. So within your data center, as much as beat down the data center piece, you have your own security and governance. And you can do that, and that's coming back to your question that are we going to support all hundred services, yes, but the local execution we have only going to provide for some services, which by their very nature make more sense to learn on-prem. >> Yeah, keep the core services. >> Rishi: Core services. >> All right so how do you guys gonna sell this product, take us through the start-up situation, you're here, are you talking to customers? Why are they are buy you? What's the conversations like? When do they need you? Take us through your conversations here at re:Invent. >> Yeah, so before that, the AWS has been super successful for the green field applications. The new applications, the applications which are born in the cloud, but when it comes to transforming the existing application it becomes a big, big challenge. So a lot of customers are coming to us, they are interested in how I can seamlessly transform their-- >> John: What's an example workload? >> So the example workloads for us is going to be the big data workloads. Which we have specialized in for last so many years. So one of them can IOT. Sudhir, probably you can explain what that is. >> So that example could be for example from today's keynote, if you see Expedia case, or Lexi Goldman Sachs case, they spend a lot of time in converting their code to the AWS specific-word, right? Millions of lines, or billions of lines of code. What we are doing today, if you dealing with the application, tomorrow it could be future ready for AWS. It's more convenience, we are actually modeling your experience with AWS. >> So it's making for enterprisers to make that transition from what they're doing today across the cloud, because that's a big deal for them. >> Tomorrow when you are Lexi, then you go to AWS, your data will decide whether you want to earn your workload on our plans, or AWS. >> Okay, so your market is hybrid cloud, basically. People doing hybrid cloud should talk to you guys. >> Yeah, and code would be future proof. What you you are you developing today-- >> John: All right so is the product shipping? >> Yes, so we are in the early beta stage, we already have five beta customers. And the product is going to be ready in a week's time. >> So data now. >> Yeah, yes. >> Yeah, these guys are ready already. >> Open beta, restricted beta? >> It is going to be restricted beta for now. Then it's going to be open beta, so yes, we are going to five more customers in the next two months for the beta. >> Take a minute to explain the type of customer you're looking for. Are they all field spots, any more, you have five more spots, you said? >> Yeah, we have five more spots for the beta. >> John: Who are yo looking for out there? >> Any large enterprise which is planning to move to AWS, but are struggling with all the nitty gritties, looking at the hundred services, and how do you integrate your existing applications there. So how you could take baby steps, like so we are going to not just take that baby steps, but sprint through it, so that's what Zettabytes plans is for. >> Rishi, congratulations on the new start-up, launching here, Zettabytes, open beta, five more spots left. Check 'em out, Zettabytes, if you're doing hybrid cloud or true private cloud, they have five spots available. It's The Cube, bringing all the action, the start-up action here and also the conversations at re:Invent. I'm John Furrier, Justin Warren. We're back with more after this short break. (electronic jingle)