>> Narrator: TheCUBE presents Ignite '22, brought to you by Palo Alto Networks. >> Greetings from the MGM Grand Hotel in beautiful Las Vegas. It's theCUBE Live Day two of our coverage of Palo Alto Networks, ignite 22. Lisa Martin, Dave Vellante. Dave, what can I say? This has been a great couple of days. The amount of content we have created and shared with our viewers on theCUBE is second to none. >> Well, the cloud has completely changed the way that people think about security. >> Yeah. You know at first it was like, oh, the cloud, how can that be secure? And they realized, wow actually cloud is pretty secure if we do it right. And so shared responsibility model and partnerships are critical. >> Partnerships are critical, especially as more and more organizations are multicloud by default. Right? These days we're going to be bring Google into the conversation. Josh Haslet joins us. Strategic Partnership Manager at Google. Welcome. Great to have you Josh. >> Hi Lisa, thanks for having me here. >> So you are a secret squirrel from Palo Alto Networks. Talk to me a little bit about your background and about your role at Google in terms of partnership management. >> Sure, I feel like we need to add that to my title. [Lisa] You should, secret squirrel. >> Great. Yeah, so as a matter of fact, I've been at Google for two and a half years. Prior to that, I was at Palo Alto Networks. I was managing the business development relationship with Google, and I was kind of at the inception of when the cash came in and, and decided that we needed to think about how to do security in a new way from a platform standpoint, right? And so it was exciting because when I started with the partnership, we were focusing on still securing you know, workloads in the cloud with next generation firewall. And then as we went through acquisitions the Palo Alto added it expanded the capabilities of what we could do from cloud security. And so it was very exciting, you know, to, to make sure that we could onboard with Google Cloud, take a look at how not only Palo Alto was enhancing their solutions as they built those and delivered those from Google Cloud. But then how did we help customers adopt cloud in a more easy fashion by making things, you know more tightly integrated? And so that's really been a lot of what I've been involved in, which has been exciting to see the growth of both organizations as we see customers shifting to cloud transformation. And then how do they deploy these new methodologies and tools from a security perspective to embrace this new way of working and this new way of, you know creating applications and doing digital transformation. >> Important, since work is no longer a place, it's an activity. Organizations have have to be able to cater to the distributed workforce. Of course, the, the, the workforce has to be able to access everything that they need to, but it has to be done in a secure way regardless of what kind of company you are. >> Yeah, you're right, Lisa. It's interesting. I mean, the pandemic has really changed and accelerated that transformation. I think, you know really remote working has started previous to that. And I think Nikesh called that out in the keynote too right? He, he really said that this has been ongoing for a while, but I think, you know organizations had to figure out how to scale and that was something that they weren't as prepared for. And a lot of the technology that was deployed for VPN connectivity or supporting remote work that was fixed hardware. And so cloud deployment and cloud architecture specifically with Prisma access really enabled this transformation to happen in a much faster, you know, manner. And where we've come together is how do we make sure that customers, no matter what device, what user what application you're accessing. As we take a look at ZTNA, Zero Trust Network Access 2.0, how can we come together to partner to make sure the customers have that wide range of coverage and capability? >> How, how do you how would you describe Josh Google's partner strategy generally and specifically, you know, in the world of cyber and what makes it unique and different? >> Yeah, so that's a great question. I think, you know, from Google Cloud perspective we heard TK mention this in the keynote with Nikesh. You know, we focus on on building a secure platform first and foremost, right? We want to be a trusted cloud for customers to deploy on. And so, you know, we find that as customers do one of two things, they're looking at, you know, reducing cost as they move to cloud and consolidate workloads or as they embrace innovation and look at, you know leveraging things like BigQuery for analytics and you know machine learning for the way that they want to innovate and stay ahead of the competition. They have to think about how do they secure in a new way. And so, not only do we work on how do we secure our own platform, we work with trusted partners to make sure that customers have you mentioned it earlier, Dave the shared security model, right? How do they take a look at their applications and their workloads and this new way of working as they go to CI/CD pipelines, they start thinking about DevSecOps. How do they integrate tooling that is frictionless and seamless for their, for their teams to deploy but allows them to quickly embrace that cloud transformation journey. And so, yes, partners are critical to that. The other thing is, you know we find that, you mentioned earlier, Lisa that customers are multicloud, right? That's kind of the the new normal as we look at enterprises today. And so Google Cloud's going to do a great job at securing our platform, but we need partners that can help customers deploy policy that embraces not only the things that they put in Google Cloud but as they're in their transformation journey. How that embraces the estates that are in data centers the things that are still on-prem. And really this is about making sure that the applications no matter where they are, the databases no matter where they are, and the users no matter where they are are all secure in that new framework of deploying and embracing innovation on public cloud. >> One of the things that almost everybody from Palo Alto Networks talks about is their partnering strategy their acquisition strategy integrations. And I was doing some research. There's over 50 joint integrations that Google Cloud and Palo Alto Networks. Have you talked about Zero Trust Network Access 2.0 that was announced yesterday. >> Correct. >> Give us a flavor of what that is and what does it deliver that 1.0 did not? >> Well, great. And what I'd like to do is touch a little bit on those 50 integrations because it's been, you know, a a building rolling thunder, shall we say as far as how have we taken a look at customers embracing the cloud. The first thing was we took a look at at how do we make sure that Palo Alto solutions are easier for customers to deploy and to orchestrate in Google Cloud making their journey to embracing cloud seamless and easy. The second thing was how could we make that deployment and the infrastructure even more easy to adopt by doing first party integrations? So earlier this year we announced cloud IDS intrusion detection system where we actually have first party directly in our console of customers being able to simply select, they want to turn on inspection of the traffic that's running on Google Cloud and it leverages the threat detection capability from Palo Alto Networks. So we've gone from third party integration alone to first party integration. And that really takes us to, you know, the direction of what we're seeing customers need to embrace now which is, this is your Zero Trusts strategy and Zero Trust 2.0 helps customers do a number of things. The first is, you know, we don't want to just verify a user and their access into the environment once. It needs to be continuous inspection, right? Cause their state could change. I think, you know, the, the teams we're talking about some really good ways of addressing, you know for instance, TSA checkpoints, right? And how does that experience look? We need to make sure that we're constantly evaluating that user's access into the environment and then we need to make sure that the content that's being accessed or, you know, loaded into the environment is inspected. So we need continuous content inspection. And that's where our partnership really comes together very well, is not only can we take care of any app any device, any user, and especially as we take a look at you know, embracing contractor like use cases for instance where we have managed devices and unmanaged devices we bring together beyond Corp and Prisma access to take a look at how can we make sure any device, any user any application is secure throughout. And then we've got content inspection of how that ZTNA 2.0 experience looks like. >> Josh, that threat data that you just talked about. >> Yeah. >> Who has access to that? Is it available to any partner, any customer, how... it seems like there's gold in them, NAR hills, so. >> There is. But, this could be gold going both ways. So how, how do you adjudicate and, how do you make sure that first of all that that data's accessible for, for good and not in how do you protect it against, you know, wrong use? >> Well, this is one of the great things about partnering with Palo Alto because technically the the threat intelligence is coming from their ingestion of malware, known threats, and unknown threats right into their technology. Wildfire, for instance, is a tremendous example of this where unit 42 does, you know, analysis on unknown threats based upon what Nikesh said on stage. They've taken their I think he said 27 days to identification and remediation down to less than a minute, right? So they've been able to take the intelligence of what they ingest from all of their existing customers the unknown vulnerabilities that are identified quickly assessing what those look like, and then pushing out information to the rest of their customers so that they can remediate and protect against those threats. So we get this shared intelligence from the way that Palo Alto leverages that capability and we've brought that natively into Google Cloud with cloud intrusion detection. >> So, okay, so I'm, I'm I dunno why I have high frequency trading in my mind cause it used to be, you know, like the norm was, oh it's going to take a year to identify an intrusion. And, and, and now it's down to, you know take was down to 27 days. Now it's down to a minute. Now it's not. That's best practice. And I'm, again, I'm thinking high frequency trading how do I beat the speed of light? And that's kind of where we're headed, right? >> Right. >> And so that's why he said one minute's not enough. We have to keep going. >> That's right. >> So guys got your best people working on that? >> Well, as a matter of fact, so Palo Alto Networks, you know when we take a look at what Nikesh said from stage, he talked about using machine learning and AI to get ahead of what we what they look at as far as predictability not only about behaviors in the environment so things that are not necessarily known threats but things that aren't behaving properly in the environment. And you can start to detect based on that. The second piece of it then is a lot of that technology is built on Google Cloud. So we're leveraging, their leveraging the capabilities that come together with you know, aggregation of, of logs the file stitching across the entire environment from the endpoint through to cloud operations the things that they detect for network content inspection putting all those files together to understand, you know where has the threat vector entered how has it gone lateral inside the environment? And then how do you make sure that you remediate all of those points of intrusion. And so yeah it's been exciting to see how our product teams have worked together to continue to advance the capabilities for speed for customers. >> And secure speed is critical. We had the opportunity this morning to speak with Lee Claridge, the chief product officer, and you know one of the things that I had heard about Lee is that despite all of the challenges in cybersecurity and the amorphous expansion of the threat network and the sophistication of the adversaries he's really optimistic about what it's going to enable organizations to do. I see you smiling. Do you share that optimism? >> I, I do. I think, you know, when you bring, when you bring leaders together to tackle big problems, I think, you know we've got the right teams working on the right things and we understand the problems that the customers are facing. And so, you know, from a a Google cloud perspective we understand that partnering with Palo Alto Networks helps to make sure that that optimism continues. You know, we work on continuous innovation when it comes to Google Cloud security framework, but then partnering with Palo Alto brings additional capabilities to the table. >> Vision for the, for the partnership. Where do you want to see it go? What's... we're two to five years down the road, what's it look like? Maybe two to three years. Let's go. >> Well, it was interesting. I, I think neer was the one that mentioned on stage about, you know how AI is going to start replacing us in our main jobs, right? I I think there's a lot of truth to that. I think as we look forward, we see that our teams are going to continue to help with automation remediation and we're going to have the humans working on things that are more interesting and important. And so that's an exciting place to go because today the reality is that we are understaffed in cybersecurity across the industry and we just can't hire enough people to make sure that we can detect, remediate and secure, you know every user endpoint and environment out there. So it's exciting to see that we've got a capability to move in a direction to where we can make sure that we get ahead of the threat actors. >> Yeah. So he said within five years your SOC will be AI based and and basically he elaborated saying there's a lot of stuff that you're doing today that you're not going to be doing tomorrow. >> That's true. >> And that's going to continue to be a moving target I would think Google is probably ahead in that game and ahead of most, right? I mean, you guys were there early. I mean, I remember when Hadoop was all the rage like just at the beginning you guys like, yeah, you know Google's like, no, no, no, we're not doing Hadoop anymore. That's like old news. So you tended to be, I don't know, at least five maybe seven years ahead of the industry. So I imagine you using a lot of those AI techniques in your own business today. >> Absolutely. I mean, I think you see it in our consumer products, and you certainly see it in the the capabilities we make available to enterprise as far as how they can innovate on our cloud. And we want to make sure that we continue to provide those capabilities, you know not only for the tools that we build but the tools that customers use. >> What's the, as we kind of get towards the end of our conversation here, we we talk about zero trust as, as a journey, as an approach. It's not a product, it's not a tool. What is the, who's involved in the zero trust journey from the customers perspective? Is this solely with the CSO, CSO, CIOs or is this at the CEO level going, we have to be a data company but we have to be a secure data company 24/7. >> It's interesting as you've seen malware, phishing, ransomware attacks. >> Yeah. >> This is not only just a CSO CIO conversation it's a board level conversation. And so, you know the way to address this new way of working where we have very distributed environments where you can't create a perimeter anymore. You need to strategize with zero trust. And so continuously, when we're talking to customers we're hearing that as a main initiative, you know from the CIO's office and from the board level. >> Got it, last question. The upgrade path for existing customers from 1., ZTNA 1.0 to 2.0. How simple is that? >> It's easy. You know, when we take- >> Is there an easy button? >> So here's the great thing [Dave] If you're feeling lucky. [Lisa] Yeah. (group laughs) >> Well, Palo Alto, right? Billing prisma access has really taken what was traditional security that was an on-prem or a data center deployed strategy to cloud-based. And so we've worked with customers like Princeton University who had to quickly transition from in-person learning to distance learning find a way to ramp their staff their faculty and their students. And we were able to, you know Palo Alto deploy it on Google Cloud's, you know network that solution in very quick order and had those, you know, everybody back up and running. So deployment and upgrade path is, is simple when you look at cloud deployed architectures to address zero trusts network. >> That's awesome. Some of those, some of those use cases that came out of the pandemic were mind blowing but also really set the table for other organizations to go, yes, this can be done. And it doesn't have to take forever because frankly where security is concerned, we don't have time. >> That's right. And it's so much faster than traditional architectures where you had to procure hardware. >> Yeah. >> Deploy it, configure it, and then, you know push agents out to all the endpoints and and get your users provisioned. In this case, we're talking about cloud delivered, right? So I've seen, you know, with Palo Alto deploying for customers that run on Google Cloud they've deployed tens of thousands of users in a very short order. You know, we're talking It was, it's not months anymore. It's not weeks anymore. It's days >> Has to be days. Josh, it's been such a pleasure having you on the program. Thank you for stopping by and talking with Dave and me about Google Cloud, Palo Alto Networks in in addition to secret squirrel. I feel like when you were describing your background that you're like the love child of Palo Alto Networks and Google Cloud, you might put that on your cartoon. >> That is a huge compliment. I really appreciate that, Lisa, thank you so much. >> Thanks so much, Josh. [Josh] It's been a pleasure being here with you. [Dave] Thank you >> Oh, likewise. For Josh Haslett and Dave, I'm Lisa Martin. You're watching theCUBE, the leader in live coverage for emerging and enterprise tech. (upbeat outro music)

>>Okay, welcome back to the cubes coverage of Del tech world. I'm john for your host of the cube we're here for virtual coverage were not yet face to face as we start to come out of covert, we're still doing the remote but we got the cube virtual. We're here with Dennis Hoffman, senior Vice President, General Manager for the telecom Systems business group within Dell Technologies dead. It's great to see you. Thanks for coming in CUba alumni. Thanks for coming on. >>My pleasure, john great to see you and look forward to the days when we can stop doing this virtually. >>Well, you guys have been certainly pumping out a lot of content and right now telco cloud telco disruption is big. We heard Michael Dell last event and even when we were in person in real life, we he was really laying down the five G leadership now with hybrid cloud, um, standardized, pretty much I mean, consensus is no, no debate really. It's hybrid multi cloud on the horizon. That's still just a subsystem of basically distributed computing A. K. A hybrid cloud makes the edge a huge part of the story this year. And the innovations all around telecom, Edge in five G have been around and they're changing really fast. What's how are these Edge in five G technologies impacting the market today? >>Yeah, it's uh is fascinating times, I'll tell you they are providing really the ultimate carrots, you know, the catalyst for um innovation in the market and really driving the world's network operators To uh want to take advantage of all the opportunity that the edge presents and that 5G enables. And it's, you know, at the end of the day, it's really forcing folks to think hard about if they have the right network architectures to enable that to capture that opportunity to have the right kind of capabilities. And so we're seeing an awful lot of interest in network desegregation, network modernization, various forms of adopting the technology is you and I are familiar with from years of what's going on in data center evolution are really starting to hit the telco network now at a really, really interesting time >>while we're on the landscape. Do you want to get your opinion on something? I've been hearing a lot, certainly in interviewing other folks here at Dell tech world and in the industry about how the edge and the data compute equation and the connectivity has changed how they're going to lay out essentially their factory, their plants, their operations and certainly covid pushing everyone at home has changed the game on how data is being computed on and how apps are being built. This is a huge five G opportunity certainly when you start to get into the business impact, autonomous vehicles, I've been doing stories about autonomous boats and everything we could have an autonomous cube soon. So, you know, everything is autonomous which drives to this whole edge piece, What's your take on that? >>Yeah, you know, it's, it's funny for years we've been talking about on prem and off prem, like there's two problems there turns out there's a third Prem, right? There is the other premises and that is not the private data center and not the public cloud. And when you stop and think about it, it it makes sense because at the end of the day, wherever we can get data, we can create digital advantage and it's always been cheaper and more effective and faster to move compute to data than to move data to compute. So technology is like 5G are beginning to make it possible to run very interesting applications in very different places and capture what is predicted to be some 3/4 of the data created over the next decade is going to get created somewhere other than a private data center or a public cloud. And that's the edge, you know, in telcos, look at that third premises as their opportunity to get another bite of the apple on services. Four G was kind of a story of the over the top. Players really took the profit pool and made a lot of money from the over to the netflix is to the itunes and so on and so forth. But when you come back to Five G and think of it kind of as the Enterprise G, it's a chance now for the world's network operators to really get a chunk of that profit pool that comes from the emergence of this third premises called the edge >>Enterprise G. I love that, I'm gonna steal that from you. It's a great, great uh >>somebody else >>uh Yeah, the new trend, but it's a business, it's a business opportunity again, totally cool. And consumers to um okay, so you got your out on the road a lot. I know that we've talked in the past on the cube. There's a lot of discussions in the industry, as well as customers that you're having. What are you hearing? What are the some of the pain points are, see Covid has unveiled unveiled new use cases, people had had adapted to it. There's adaptations that are out there that are new and then things that might not happen again. What are you hearing from customers? >>Yeah, I would say in summary, we're hearing a mix of optimism and uncertainty, optimism around all the stuff we just talked about and that you mentioned, you know, it's it's a blank from anywhere. World right work from anywhere, learn from anywhere. Medicine from anywhere. And you know, if the pandemic has taught us anything, it's about the absolute necessity of communications technology to the world we live in today. The uncertainty comes from this question of, okay, so I know that there's this big opportunity and I know that I need to modernize my network architecture and kind of change the way I operate to capture it all. But the architecture is I run on today, make that really hard. And the architecture is that that the modern data center is built on, We know they work. But how do I get them in a way that allows me to build a resilient, high performance agile communications network. Um, you know, today we uh we face a world in which we see, we have a world in which solutions are delivered very fairly monolithically in the network uh for network operators but going forward, the power to potentially decompose all of that is wonderful provided it can be recomposed in a way they can consume. And I think that's where the uncertainty lies. There's a lot of testing and trialing of pieces of applications of underlying hardware, infrastructure, servers, accelerators, um certainly different types of virtualization and container ization technologies. But in the end these networks need to run it many many many nines um and they need to be extremely robust and pulling together a lot of different components from the open ecosystem is a daunting challenge for most of the network operators. >>You know, I hear you saying about the opportunity recognition and the re factoring how we called re composing this opportunity here and again. I like this enterprise G angle because what it means is that it's not the consumer the only it's it's everything. It's a complete consumer ization of I. T. So it's a whole another edge landscape. Prem third, the third premise is the edge. All good. I've always so set on the cube and certainly Dave and I have David and I have riffed on this is that you know, everything is now cloud operations and the data center is a big edge and then you've got other pieces that are just edges. A distributed system kind of sounds like a computer in the cloud. So this is kind of operating model. So I have to ask the question which is in telco, if it's gonna be distributed like that and it's going to be operated at scale, how is Dell responding to capture the mind share and customers using Dell in this new telco disruption? Because it's kind of you got to keep the lights on and you gotta also get them in a position to take advantage of the new opportunity. How are you responding? >>Yeah, Well, we're trying to we're literally trying to fill that gap, you know, the talking to the world's uh modern or say the world's telecom network operations leaders. We've uh we've had a lot of conversations with folks about what they need to do and what's holding them back from really in many ways taking advantage of the digital transformation that that's kind of rippling through the economy. And as they kind of laid that out to us, we decided that it was an enormous opportunity for Dell that this this uh you know, this new network will be fundamentally built on computer technology uh and it will be open industry standard computer technology. And on top of that we will use virtualization. And if this begins to sound like the way data centers are being built, because that's exactly what's happening. But more than that, I think there's a need for an at scale substantial provider that the world's biggest carriers can bet on and feel they can trust as a strategic partner to not only pull the ecosystem together, validated, certified, curated a little bit uh, and deliver it as an outcome, but then stand behind it running and importantly, do all of that in a way that doesn't constrain the continuous innovation. That's really the hallmark of some of these modern architecture. So for us, we see, you know, an opportunity that is literally perfectly built for a company like dealt and that's why we decided to invest in it. That's why you hear Michael talking about it a lot. Uh it's um, you know, it's it's really super well aligned with our strategy, we think it's actually key to winning the edge. Uh and and it's also really well aligned with our purpose, you know what this company exists to accelerate human progress through technology. And this little slice of it is all about accelerating communications and the transformation of modern networks to do exactly that right, To help close the digital divide, to bring fair and equitable medicine and learning to all, um and to allow us all to work from wherever we're working. So it's uh it's something that we're excited about on multiple levels and we think the company is really built for the distributed computing environment that a modern telco network represents. >>Yeah, what's interesting is that the value that you guys can enable at the edge, his real impact, It's not just data center and compute and have applications. Remember the old days I got my crm in my E. R. P and I got my apps on my systems and it's all good now. Business is completely software enables, it's the entire business and the business is software naval, which means that you have to have that edge. So I totally love of the positioning and strategy. I have to ask you if you don't mind, where is the residents with customers when you look at the telco enablement there that you're enabling them to do what's resonating the most, what's jumping out from the telescopes in terms of what Dell's doing for them And the customers, you mentioned tele medicine, which by the way, is an amazing impact to the world. Just one example. But where's the residence? >>Yeah. You know, first we we are what we are. Right. So it's, I think with a lot of conversations, it begins with, um, the telecommunications network needs server technology, but it needs very specific kinds of server technology built in very specific ways. Um, the, you know, the needs of compute at the base of a cell tower on a hill in Montana in the middle of winter are different than we've been building for data centers for years. So I think the first thing that resonates it, I need it, I need a very specific kind of open compute, uh, infrastructure hardware foundation that is industry standard. And, and we turn to somebody like Delta do do exactly that. But what we've learned is there's so much more than that because really we need to begin to deliver outcomes on top of that foundation. Uh, First outcome, we need to deliver his modern operations and maintenance of a distributed network. Zero touch provisioning, zero touch upgrading. How can we impact the total cost of maintenance and ownership in a meaningful way, um, for a network that is in fact constructed out of a fabric of server. On top of that there's the actual network core network services, Edge, the radio access network. And how do we successively open up each section of the network, driving computing storage all the way to the edge? Because for many organizations in the world, many enterprises, their edge will actually be on the telco premises. Right. The telco edge will be their edge. Some of the bigger companies certainly can build their own. But as you get in the world of medium and small business, the person they buy their circuits from and their communications from. If they have the ability to deliver them private slices of networks and virtual compute and storage, that's going to be how they get after it. So you know for us that next piece that resonates is the ability to pull together solutions like we've been doing for years with the ex rail hyper converged the stuff we did with the C. E. Back in the day and then last >>I'm just saying that you know you're bringing up things that kind of sound. It's super complex physical plant and equipment. You're talking about real hard and purpose built devices in the past very operational technology oriented stuff and then that has to have I. T. Agility right? And then have scalability behind it and complete you know integration this is not obvious and easy. It's hard. >>Yeah. No I mean software doesn't run on software right? Software runs on hardware and so as much as a lot of the power and the interest comes from what the application can do underlying it all is a capability to distribute, compute and storage to where the application or the software wants to run or runs best. That's what's really cool about five G is its ability to do the stuff you mentioned earlier on, you know, the, the G Wiz stuff, drones and autonomous and a AR and VR and all the things that ultra reliable, low latency communication would make possible on a grand scale that really bring the machines into the picture, not just humans on the edge. It's the stuff, right? That that's on the edge and we've been talking about it for a long time, but none of it's gonna matter if we don't put this infrastructure foundation in place. Then we got to lay an open marketplace of containerized network functions. Virtualized network functions on top of that all to enable our network operators to deliver interesting services to end users. It's >>super exciting. I got to say that it's a super exciting because you know, it's coming it's like the energies there, it's like the, you know, the storm's coming of disruption in the innovation because you think about what containers and cloud native kubernetes the cloud native technologies can do for legacy because its shelf life and more headroom, right? So you can you can win these telcos can actually not only pivot but line extension into new capabilities. So they tend to be very strong technically is an operator, operator networks, the hard tech stuff, physical stuff and software but not known for it. I mean but now there's a huge opportunity that's gonna come around the corner. I'm bullish on Iot and edge where you have the O. T. And I. T. Coming together. It's really compelling And it's going to be radically different I think in the next 5 to 10 years what's your take on that in terms of outlook? >>Couldn't agree more. Yeah I mean it's you know it's for those of us are in the industry always the knowledge of what's coming or the belief in what's coming. The hype precedes the actual development. But you know just as I don't know 15 20 years ago the idea that you can completely disrupt the taxi industry with an app and a four G smartphone service was in nobody's mind except maybe a couple of people. You >>know it >>makes you wonder what is the what is the uber equivalent of a business service that will be fundamentally enabled by the architecture we just described that we're not thinking about right now and that's why every time we move from a centralized computing model to a decentralized computing models that decentralized computing models dramatically larger than a centralized, >>way >>bigger than mainframe. Edge, way bigger than client server, which is already way bigger than cloud, Public. Cloud. And so I think it's, you know, there's a, there's a lot of promise, a lot of excitement. Still a long way to go though. A lot of the stuff we're talking about still is not actually rolled out into the network. Um and that's kind of the opportunity for somebody like them. >>Yeah. And decentralized and open winds. It's funny you mentioned high, we were talking David was just talking with Michael Dell and Pat Gelsinger in 2013. We're talking hybrid cloud, that's 78 years ago. Okay, so good stuff. Let's get into the news real quick. Um Deltek World, you've got some news coming. Uh Let's dig into it. Please share some of the outlook of the news. You're gonna be you're you're announcing here? >>Yeah, thanks. Sure, john, I mean, we're gonna be announcing two things relative to the telecom portfolio. Uh and they're both reference architectures with VM ware. One is the second edition of the telco cloud platform for five G. Um, so that's a Delvian where reference architecture, that is exactly what we just talked about. It's this open software defined on industry standard hardware platform, um for running 5G applications. And then the other one is the first version of the telco cloud platform for the radio access network, TCP ran as we would call it. Um and as we start to push this technology from the core out towards the edge of the telecom network. So to really interesting developments in in deep partnership with VM ware and stuff, we've been working on for a while stuff, we are in fact working on with customers and delivering today and we'll be making formal announcements about those at the D T W show. >>Awesome. Dennis, thanks for coming on the Cuban, sharing the update and thanks for the industry insight. Uh, I love the telco shift that's going on. It's an extension of existing, I think cloud native saves the day here with telco and allows the completely different landscape to evolve. So you guys were on top of it. Thanks for sharing S VP and general manager, the telecom systems business with Dell Dennis. Hoffman. Thanks for coming on. >>Thanks john Okay >>cube coverage here. Del Tech world. I'm john for a year. Thanks for watching. Yeah.

>> From theCUBE Studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR. This is breaking analysis with Dave Vellante. >> Moore's Law is dead, right? Think again. Massive improvements in processing power combined with data and AI will completely change the way we think about designing hardware, writing software and applying technology to businesses. Every industry will be disrupted. You hear that all the time. Well, it's absolutely true and we're going to explain why and what it all means. Hello everyone, and welcome to this week's Wikibon Cube Insights powered by ETR. In this breaking analysis, we're going to unveil some new data that suggests we're entering a new era of innovation that will be powered by cheap processing capabilities that AI will exploit. We'll also tell you where the new bottlenecks will emerge and what this means for system architectures and industry transformations in the coming decade. Moore's Law is dead, you say? We must have heard that hundreds, if not, thousands of times in the past decade. EE Times has written about it, MIT Technology Review, CNET, and even industry associations that have lived by Moore's Law. But our friend Patrick Moorhead got it right when he said, "Moore's Law, by the strictest definition of doubling chip densities every two years, isn't happening anymore." And you know what, that's true. He's absolutely correct. And he couched that statement by saying by the strict definition. And he did that for a reason, because he's smart enough to know that the chip industry are masters at doing work arounds. Here's proof that the death of Moore's Law by its strictest definition is largely irrelevant. My colleague, David Foyer and I were hard at work this week and here's the result. The fact is that the historical outcome of Moore's Law is actually accelerating and in quite dramatically. This graphic digs into the progression of Apple's SoC, system on chip developments from the A9 and culminating with the A14, 15 nanometer bionic system on a chip. The vertical axis shows operations per second and the horizontal axis shows time for three processor types. The CPU which we measure here in terahertz, that's the blue line which you can't even hardly see, the GPU which is the orange that's measured in trillions of floating point operations per second and then the NPU, the neural processing unit and that's measured in trillions of operations per second which is that exploding gray area. Now, historically, we always rushed out to buy the latest and greatest PC, because the newer models had faster cycles or more gigahertz. Moore's Law would double that performance every 24 months. Now that equates to about 40% annually. CPU performance is now moderated. That growth is now down to roughly 30% annual improvements. So technically speaking, Moore's Law as we know it was dead. But combined, if you look at the improvements in Apple's SoC since 2015, they've been on a pace that's higher than 118% annually. And it's even higher than that, because the actual figure for these three processor types we're not even counting the impact of DSPs and accelerator components of Apple system on a chip. It would push this even higher. Apple's A14 which is shown in the right hand side here is quite amazing. It's got a 64 bit architecture, it's got many, many cores. It's got a number of alternative processor types. But the important thing is what you can do with all this processing power. In an iPhone, the types of AI that we show here that continue to evolve, facial recognition, speech, natural language processing, rendering videos, helping the hearing impaired and eventually bringing augmented reality to the palm of your hand. It's quite incredible. So what does this mean for other parts of the IT stack? Well, we recently reported Satya Nadella's epic quote that "We've now reached peak centralization." So this graphic paints a picture that was quite telling. We just shared the processing powers exploding. The costs consequently are dropping like a rock. Apple's A14 cost the company approximately 50 bucks per chip. Arm at its v9 announcement said that it will have chips that can go into refrigerators. These chips are going to optimize energy usage and save 10% annually on your power consumption. They said, this chip will cost a buck, a dollar to shave 10% of your refrigerator electricity bill. It's just astounding. But look at where the expensive bottlenecks are, it's networks and it's storage. So what does this mean? Well, it means the processing is going to get pushed to the edge, i.e., wherever the data is born. Storage and networking are going to become increasingly distributed and decentralized. Now with custom silicon and all that processing power placed throughout the system, an AI is going to be embedded into software, into hardware and it's going to optimize a workloads for latency, performance, bandwidth, and security. And remember, most of that data, 99% is going to stay at the edge. And we love to use Tesla as an example. The vast majority of data that a Tesla car creates is never going to go back to the cloud. Most of it doesn't even get persisted. I think Tesla saves like five minutes of data. But some data will connect occasionally back to the cloud to train AI models and we're going to come back to that. But this picture says if you're a hardware company, you'd better start thinking about how to take advantage of that blue line that's exploding, Cisco. Cisco is already designing its own chips. But Dell, HPE, who kind of does maybe used to do a lot of its own custom silicon, but Pure Storage, NetApp, I mean, the list goes on and on and on either you're going to get start designing custom silicon or you're going to get disrupted in our view. AWS, Google and Microsoft are all doing it for a reason as is IBM and to Sarbjeet Johal said recently this is not your grandfather's semiconductor business. And if you're a software engineer, you're going to be writing applications that take advantage of all the data being collected and bringing to bear this processing power that we're talking about to create new capabilities like we've never seen it before. So let's get into that a little bit and dig into AI. You can think of AI as the superset. Just as an aside, interestingly in his book, "Seeing Digital", author David Moschella says, there's nothing artificial about this. He uses the term machine intelligence, instead of artificial intelligence and says that there's nothing artificial about machine intelligence just like there's nothing artificial about the strength of a tractor. It's a nuance, but it's kind of interesting, nonetheless, words matter. We hear a lot about machine learning and deep learning and think of them as subsets of AI. Machine learning applies algorithms and code to data to get "smarter", make better models, for example, that can lead to augmented intelligence and help humans make better decisions. These models improve as they get more data and are iterated over time. Now deep learning is a more advanced type of machine learning. It uses more complex math. But the point that we want to make here is that today much of the activity in AI is around building and training models. And this is mostly happening in the cloud. But we think AI inference will bring the most exciting innovations in the coming years. Inference is the deployment of that model that we were just talking about, taking real time data from sensors, processing that data locally and then applying that training that has been developed in the cloud and making micro adjustments in real time. So let's take an example. Again, we love Tesla examples. Think about an algorithm that optimizes the performance and safety of a car on a turn, the model take data on friction, road condition, angles of the tires, the tire wear, the tire pressure, all this data, and it keeps testing and iterating, testing and iterating, testing iterating that model until it's ready to be deployed. And then the intelligence, all this intelligence goes into an inference engine which is a chip that goes into a car and gets data from sensors and makes these micro adjustments in real time on steering and braking and the like. Now, as you said before, Tesla persist the data for very short time, because there's so much of it. It just can't push it back to the cloud. But it can now ever selectively store certain data if it needs to, and then send back that data to the cloud to further train them all. Let's say for instance, an animal runs into the road during slick conditions, Tesla wants to grab that data, because they notice that there's a lot of accidents in New England in certain months. And maybe Tesla takes that snapshot and sends it back to the cloud and combines it with other data and maybe other parts of the country or other regions of New England and it perfects that model further to improve safety. This is just one example of thousands and thousands that are going to further develop in the coming decade. I want to talk about how we see this evolving over time. Inference is where we think the value is. That's where the rubber meets the road, so to speak, based on the previous example. Now this conceptual chart shows the percent of spend over time on modeling versus inference. And you can see some of the applications that get attention today and how these applications will mature over time as inference becomes more and more mainstream, the opportunities for AI inference at the edge and in IOT are enormous. And we think that over time, 95% of that spending is going to go to inference where it's probably only 5% today. Now today's modeling workloads are pretty prevalent and things like fraud, adtech, weather, pricing, recommendation engines, and those kinds of things, and now those will keep getting better and better and better over time. Now in the middle here, we show the industries which are all going to be transformed by these trends. Now, one of the point that Moschella had made in his book, he kind of explains why historically vertically industries are pretty stovepiped, they have their own stack, sales and marketing and engineering and supply chains, et cetera, and experts within those industries tend to stay within those industries and they're largely insulated from disruption from other industries, maybe unless they were part of a supply chain. But today, you see all kinds of cross industry activity. Amazon entering grocery, entering media. Apple in finance and potentially getting into EV. Tesla, eyeing insurance. There are many, many, many examples of tech giants who are crossing traditional industry boundaries. And the reason is because of data. They have the data. And they're applying machine intelligence to that data and improving. Auto manufacturers, for example, over time they're going to have better data than insurance companies. DeFi, decentralized finance platforms going to use the blockchain and they're continuing to improve. Blockchain today is not great performance, it's very overhead intensive all that encryption. But as they take advantage of this new processing power and better software and AI, it could very well disrupt traditional payment systems. And again, so many examples here. But what I want to do now is dig into enterprise AI a bit. And just a quick reminder, we showed this last week in our Armv9 post. This is data from ETR. The vertical axis is net score. That's a measure of spending momentum. The horizontal axis is market share or pervasiveness in the dataset. The red line at 40% is like a subjective anchor that we use. Anything above 40% we think is really good. Machine learning and AI is the number one area of spending velocity and has been for awhile. RPA is right there. Very frankly, it's an adjacency to AI and you could even argue. So it's cloud where all the ML action is taking place today. But that will change, we think, as we just described, because data's going to get pushed to the edge. And this chart will show you some of the vendors in that space. These are the companies that CIOs and IT buyers associate with their AI and machine learning spend. So it's the same XY graph, spending velocity by market share on the horizontal axis. Microsoft, AWS, Google, of course, the big cloud guys they dominate AI and machine learning. Facebook's not on here. Facebook's got great AI as well, but it's not enterprise tech spending. These cloud companies they have the tooling, they have the data, they have the scale and as we said, lots of modeling is going on today, but this is going to increasingly be pushed into remote AI inference engines that will have massive processing capabilities collectively. So we're moving away from that peak centralization as Satya Nadella described. You see Databricks on here. They're seen as an AI leader. SparkCognition, they're off the charts, literally, in the upper left. They have extremely high net score albeit with a small sample. They apply machine learning to massive data sets. DataRobot does automated AI. They're super high in the y-axis. Dataiku, they help create machine learning based apps. C3.ai, you're hearing a lot more about them. Tom Siebel's involved in that company. It's an enterprise AI firm, hear a lot of ads now doing AI and responsible way really kind of enterprise AI that's sort of always been IBM. IBM Watson's calling card. There's SAP with Leonardo. Salesforce with Einstein. Again, IBM Watson is right there just at the 40% line. You see Oracle is there as well. They're embedding automated and tele or machine intelligence with their self-driving database they call it that sort of machine intelligence in the database. You see Adobe there. So a lot of typical enterprise company names. And the point is that these software companies they're all embedding AI into their offerings. So if you're an incumbent company and you're trying not to get disrupted, the good news is you can buy AI from these software companies. You don't have to build it. You don't have to be an expert at AI. The hard part is going to be how and where to apply AI. And the simplest answer there is follow the data. There's so much more to the story, but we just have to leave it there for now and I want to summarize. We have been pounding the table that the post x86 era is here. It's a function of volume. Arm volumes are a way for volumes are 10X those of x86. Pat Gelsinger understands this. That's why he made that big announcement. He's trying to transform the company. The importance of volume in terms of lowering the cost of semiconductors it can't be understated. And today, we've quantified something that we haven't really seen much of and really haven't seen before. And that's that the actual performance improvements that we're seeing in processing today are far outstripping anything we've seen before, forget Moore's Law being dead that's irrelevant. The original finding is being blown away this decade and who knows with quantum computing what the future holds. This is a fundamental enabler of AI applications. And this is most often the case the innovation is coming from the consumer use cases first. Apple continues to lead the way. And Apple's integrated hardware and software model we think increasingly is going to move into the enterprise mindset. Clearly the cloud vendors are moving in this direction, building their own custom silicon and doing really that deep integration. You see this with Oracle who kind of really a good example of the iPhone for the enterprise, if you will. It just makes sense that optimizing hardware and software together is going to gain momentum, because there's so much opportunity for customization in chips as we discussed last week with Arm's announcement, especially with the diversity of edge use cases. And it's the direction that Pat Gelsinger is taking Intel trying to provide more flexibility. One aside, Pat Gelsinger he may face massive challenges that we laid out a couple of posts ago with our Intel breaking analysis, but he is right on in our view that semiconductor demand is increasing. There's no end in sight. We don't think we're going to see these ebbs and flows as we've seen in the past that these boom and bust cycles for semiconductor. We just think that prices are coming down. The market's elastic and the market is absolutely exploding with huge demand for fab capacity. Now, if you're an enterprise, you should not stress about and trying to invent AI, rather you should put your focus on understanding what data gives you competitive advantage and how to apply machine intelligence and AI to win. You're going to be buying, not building AI and you're going to be applying it. Now data as John Furrier has said in the past is becoming the new development kit. He said that 10 years ago and he seems right. Finally, if you're an enterprise hardware player, you're going to be designing your own chips and writing more software to exploit AI. You'll be embedding custom silicon in AI throughout your product portfolio and storage and networking and you'll be increasingly bringing compute to the data. And that data will mostly stay where it's created. Again, systems and storage and networking stacks they're all being completely re-imagined. If you're a software developer, you now have processing capabilities in the palm of your hand that are incredible. And you're going to rewriting new applications to take advantage of this and use AI to change the world, literally. You'll have to figure out how to get access to the most relevant data. You have to figure out how to secure your platforms and innovate. And if you're a services company, your opportunity is to help customers that are trying not to get disrupted are many. You have the deep industry expertise and horizontal technology chops to help customers survive and thrive. Privacy? AI for good? Yeah well, that's a whole another topic. I think for now, we have to get a better understanding of how far AI can go before we determine how far it should go. Look, protecting our personal data and privacy should definitely be something that we're concerned about and we should protect. But generally, I'd rather not stifle innovation at this point. I'd be interested in what you think about that. Okay. That's it for today. Thanks to David Foyer, who helped me with this segment again and did a lot of the charts and the data behind this. He's done some great work there. Remember these episodes are all available as podcasts wherever you listen, just search breaking it analysis podcast and please subscribe to the series. We'd appreciate that. Check out ETR's website at ETR.plus. We also publish a full report with more detail every week on Wikibon.com and siliconangle.com, so check that out. You can get in touch with me. I'm dave.vellante@siliconangle.com. You can DM me on Twitter @dvellante or comment on our LinkedIn posts. I always appreciate that. This is Dave Vellante for theCUBE Insights powered by ETR. Stay safe, be well. And we'll see you next time. (bright music)

>>Okay we're here on the cube covering H. P. E. Accelerating next and with me is Rule Sister Mons, who was the head of it at the Netherlands Cancer Institute also known as NK I welcome rule. >>Thank you very much. Great to be here. >>Hey what can you tell us about the Netherlands Cancer Institute? Maybe you could talk about your core principles and and and also if you could weave in your specific areas of expertise. >>Yeah maybe first introduction to the National Cancer Institute. We are one of the top 10 comprehensive cancers in the world. And what we do is we combine a hospital for treating patients with cancer and research institute under one roof. So the discoveries we do we find within the research. We can easily bring them back to the clinic and and visa versa. So um we have about 750 researchers and about 3000 other employees, doctors, nurses and and my role is to facilitate them at their best with I. T. >>Got it. So I mean everybody talks about digital digital transformation to us that it all comes down to data. So curious how you collect and take advantage of medical data specifically to support NK eyes goals. Maybe some of the challenges that your organization faces with the amount of data, the speed of data coming in. Just the the complexities of data. How do you handle that? >>Yeah it's it's it's a challenge and uh what we we have we have a really a large amount of data so we produce uh terabytes today and we have stored now one petabyte of data at this moment. And it's uh the challenge is to reuse the data optimal for research and to share it with other institutions. So that needs to have a flexible infrastructure for that. So a fast really fast network big data storage environment. But the real challenge is not so much the I. T. But is more the quality of the data. So we have a lot of medical systems all producing those data and how do we combine them and you get the data fair. So findable accessible, interoperable and reusable for research purposes. So I think that's the main shell is the quality of the data. >>Very common themes that we hear from from other customers. I wonder if you could paint a picture of your environment and maybe you can share where HP solutions fit in what what value they bring to your organization's mission. >>Yeah I think it it brings a lot of flexibility. So what we did with HP. Es. That we we developed a software defined data center and then a virtual workplace for our researchers and doctors and that that's based on the HB infrastructure. And what we wanted to build is something that I expect the needs of doctors and nurses, but also the researchers and to kind of different blood groups, blood groups and with different needs. So, uh but we wanted to create one infrastructure because we wanted to make the connection between the hospital and research that's that's more important. So uh HPD helped helped us not only with the infrastructure itself, but also designing and the whole architecture of it. And for example, what we did is we bought a lot of hardware and and and the hardware is really doing his job between 9 to 5 Dennis, everything is working within, everyone is working with an institution, but all the other time in the evening and and nine hours and also the redundant environment we have for for our health care that doesn't do nothing of uh much more less uh in those uh dark hours. So, but we we created together with A V N H B and B M R, is that we we we call it Fidel today, compute by night. So we re use those uh those servers and those Gpu capacity for computational research jobs within the research. >>That's how you mentioned flexibility for this genius. And and so we're talking, you said a lot of hardware probably reliant, I think synergy Aruba networking is in there. How are you using this environment? Actually, the question really is when you think about NK eyes digital transformation, I mean, is this sort of the fundamental platform that you're using? Is it a maybe you could describe that? >>Yeah, it's the fundamental platform to work on. And what we see is that we have we have now everything in place for it. But the real challenge is, is the next steps we are in. So we have a software defined data center, we are cloud ready. So the next step is to make the connection to the cloud to give more automation to our researchers. So they don't have to wait a couple of weeks for I. T. To do it but they can do it themselves with a couple of clicks. So I think the basic is is we are really flexible and we have a lot of opportunities for automation for example. But the next step is to create that the business value really for for our employees. >>That's a great story and a very important mission. Really fascinating stuff. Thanks for sharing this with our audience today. Really appreciate your time. >>Thank you very much. >>Okay, this is Day Volonte with the cube stay right there for more great content. You're watching accelerating next from HP.

>> Announcer: From around the globe, it's "theCUBE" covering Space and Cybersecurity Symposium 2020 hosted by Cal Poly. >> I want to welcome to theCUBE's coverage, we're here hosting with Cal Poly an amazing event, space and the intersection of cyber security. This session is Defending Satellite and Space Infrastructure from Cyber Threats. We've got two great guests. We've got Major General John Shaw of combined force space component commander, U.S. space command at Vandenberg Air Force Base in California and Roland Coelho, who's the CEO of Maverick Space Systems. Gentlemen, thank you for spending the time to come on to this session for the Cal Poly Space and Cybersecurity Symposium. Appreciate it. >> Absolutely. >> Guys defending satellites and space infrastructure is the new domain, obviously it's a war-fighting domain. It's also the future of the world. And this is an important topic because we rely on space now for our everyday life and it's becoming more and more critical. Everyone knows how their phones work and GPS, just small examples of all the impacts. I'd like to discuss with this hour, this topic with you guys. So if we can have you guys do an opening statement. General if you can start with your opening statement, we'll take it from there. >> Thanks John and greetings from Vandenberg Air Force Base. We are just down the road from Cal Poly here on the central coast of California, and very proud to be part of this effort and part of the partnership that we have with Cal Poly on a number of fronts. In my job here, I actually have two hats that I wear and it's I think, worth talking briefly about those to set the context for our discussion. You know, we had two major organizational events within our Department of Defense with regard to space last year in 2019. And probably the one that made the most headlines was the standup of the United States Space Force. That happened December 20th, last year, and again momentous, the first new branch in our military since 1947. And it's just over nine months old now, as we're makin' this recording. And already we're seein' a lot of change with regard to how we are approaching organizing, training, and equipping on a service side for space capabilities. And so, with regard to the Space Force, the hat I wear there is Commander of Space Operations Command. That was what was once 14th Air Force, when we were still part of the Air Force here at Vandenberg. And in that role, I'm responsible for the operational capabilities that we bring to the joint warfighter and to the world from a space perspective. Didn't make quite as many headlines, but another major change that happened last year was the reincarnation, I guess I would say, of United States Space Command. And that is a combatant command. It's how our Department of Defense organizes to actually conduct war-fighting operations. Most people are more familiar perhaps with Central Command, CENTCOM or Northern Command, NORTHCOM, or even Strategic Command, STRATCOM. Well, now we have a SPACECOM. We actually had one from 1985 until 2002, and then stood it down in the wake of the 9/11 attacks and a reorganization of Homeland Security. But we've now stood up a separate command again operationally, to conduct joint space operations. And in that organization, I wear a hat as a component commander, and that's the combined force-based component command working with other, all the additional capabilities that other services bring, as well as our allies. The combined in that title means that under certain circumstances, I would lead in an allied effort in space operations. And so it's actually a terrific job to have here on the central coast of California. Both working how we bring space capabilities to the fight on the Space Force side, and then how we actually operate those capabilities in support of joint warfighters around the world and national security interests. So that's the context. Now what also I should mention and you kind of alluded to John at your beginning, we're kind of in a changed situation than we were a number of years ago, in that we now see space as a war-fighting domain. For most of my career, goin' back a little ways, most of my focus in my jobs was making sure I could bring space capabilities to those that needed them. Bringing GPS to that special operations soldier on the ground somewhere in the world, bringing satellite communications for our nuclear command and control, bringing those capabilities for other uses. But I didn't have to worry in most of my career, about actually defending those space capabilities themselves. Well, now we do. We've actually gone to a point where we're are being threatened in space. We now are treating it more like any other domain, normalizing in that regard as a war-fighting domain. And so we're going through some relatively emergent efforts to protect and defend our capabilities in space, to design our capabilities to be defended, and perhaps most of all, to train our people for this new mission set. So it's a very exciting time, and I know we'll get into it, but you can't get very far into talking about all these space capabilities and how we want to protect and defend them and how we're going to continue their ability to deliver to warfighters around the globe, without talking about cyber, because they fit together very closely. So anyway, thanks for the chance to be here today. And I look forward to the discussion. >> General, thank you so much for that opening statement. And I would just say that not only is it historic with the Space Force, it's super exciting because it opens up so much more challenges and opportunities to do more and to do things differently. So I appreciate that statement. Roland in your opening statement. Your job is to put stuff in space, faster, cheaper, smaller, better, your opening statement, please. >> Yes, thank you, John. And yes, to General Shaw's point with the space domain and the need to protect it now is incredibly important. And I hope that we are more of a help than a thorn in your side in terms of building satellites smaller, faster, cheaper. Definitely looking forward to this discussion and figuring out ways where the entire space domain can work together, from industry to U.S. government, even to the academic environment as well. So first, I would like to say, and preface this by saying, I am not a cybersecurity expert. We build satellites and we launch them into orbit, but we are by no means cybersecurity experts. And that's why we like to partner with organizations like the California Cybersecurity Institute because they help us navigate these requirements. So I'm the CEO of Maverick Space Systems. We are a small aerospace business in San Luis Obispo, California. And we provide small satellite hardware and service solutions to a wide range of customers. All the way from the academic environment to the U.S. government and everything in between. We support customers through an entire program life cycle, from mission architecture and formulation, all the way to getting these customer satellites in orbit. And so what we try to do is provide hardware and services that basically make it easier for customers to get their satellites into orbit and to operate. So whether it be reducing mass or volume, creating greater launch opportunities, or providing the infrastructure and the technology to help those innovations mature in orbit, that's what we do. Our team has experience over the last 20 years, working with small satellites. And I'm definitely fortunate to be part of the team that invented the CubeSat standard by Cal Poly and Stanford back in 2000. And so, we are in VandenBerg's backyard. We came from Cal Poly San Luis Obispo and our hearts are fond of this area, and working with the local community. A lot of that success that we have had is directly attributable to the experiences that we learned as students, working on satellite programs from our professors and mentors. And that's all thanks to Cal Poly. So just wanted to tell a quick story. So back in 2000, just imagine a small group of undergraduate students, myself included, with the daunting task of launching multiple satellites from five different countries on a Russian launch vehicle. Many of us were only 18 or 19, not even at the legal age to drink yet, but as essentially teenagers we were managing million-dollar budgets. And we were coordinating groups from around the world. And we knew what we needed to accomplish, yet we didn't really know what we were doing when we first started. The university was extremely supportive and that's the Cal Poly learn-by-doing philosophy. I remember the first time we had a meeting with our university chief legal counsel, and we were discussing the need to register with the State Department for ITAR. Nobody really knew what ITAR was back then. And discussing this with the chief legal counsel, she was asking, "What is ITAR?" And we essentially had to explain, this is, launching satellites is part of the U.S. munitions list. And essentially we had a similar situation exporting munitions. We are in similar categories as weapons. And so, after that initial shock, everybody jumped in both feet forward, the university, our head legal counsel, professors, mentors, and the students knew we needed to tackle this problem because the need was there to launch these small satellites. And the reason this is important to capture the entire spectrum of users of the community, is that the technology and the innovation of the small satellite industry occurs at all levels, so we have academia, commercial, national governments. We even have high schools and middle schools getting involved and building satellite hardware. And the thing is the importance of cybersecurity is incredibly important because it touches all of these programs and it touches people at a very young age. And so, we hope to have a conversation today to figure out how do we create an environment where we allow these programs to thrive, but we also protect and keep their data safe as well. >> Thank you very much Roland. Appreciate that a story too as well. Thanks for your opening statement. Gentlemen, I mean I love this topic because defending the assets in space is obvious, if you look at it. But there's a bigger picture going on in our world right now. And general, you kind of pointed out the historic nature of Space Force and how it's changing already, operationally, training, skills, tools, all that stuff is evolving. You know in the tech world that I live in, change the world is a topic they use, gets thrown around a lot, you can change the world. A lot of young people, and we have other panels on this where we're talkin' about how to motivate young people, changing the world is what it's all about technology, for the better. Evolution is just an extension of another domain. In this case, space is just an extension of other domains, similar things are happening, but it's different. There's huge opportunity to change the world, so it's faster. There's an expanded commercial landscape out there. Certainly government space systems are moving and changing. How do we address the importance of cybersecurity in space? General, we'll start with you because this is real, it's exciting. If you're a young person, there's touch points of things to jump into, tech, building hardware, to changing laws, and everything in between is an opportunity, and it's exciting. And it is truly a chance to change the world. How does the commercial government space systems teams, address the importance of cybersecurity? >> So, John, I think it starts with the realization that as I like to say, that cyber and space are BFFs. There's nothing that we do on the cutting edge of space that isn't heavily reliant on the cutting edge of cyber. And frankly, there's probably nothing on the cutting edge of cyber that doesn't have a space application. And when you realize that and you see how closely those are intertwined as we need to move forward at speed, it becomes fundamental to answering your question. Let me give a couple examples. One of the biggest challenges I have on a daily basis is understanding what's going on in the space domain. Those on the surface of the planet talk about tyranny of distance across the oceans or across large land masses. And I talk about the tyranny of volume. And right now, we're looking out as far as the lunar sphere. There's activity that's extending out there. We expect NASA to be conducting perhaps human operations in the lunar environment in the next few years. So it extends out that far. When you do the math that's a huge volume. How do you do that? How do you understand what's happening in real time within that volume? It is a big data problem by the very definition of that kind of effort and that kind of challenge. And to do it successfully in the years ahead, it's going to require many, many sensors and the fusion of data of all kinds, to present a picture and then analytics and predictive analytics that are going to deliver an idea of what's going on in the space arena. And that's just if people are not up to mischief. Once you have threats introduced into that environment, it is even more challenging. So I'd say it's a big data problem that we'll enjoy tackling in the years ahead. Now, a second example is, if we had to take a vote of what were the most amazing robots that have ever been designed by humans, I think that spacecraft would have to be up there on the list. Whether it's the NASA spacecraft that explore other planets, or GPS satellites that amazingly provide a wonderful service to the entire globe and beyond. They are amazing technological machines. That's not going to stop. I mean, all the work that Roland talked about, even that we're doin' at the kind of the microsat level is putting cutting-edge technology into small a package as you can to get some sort of capability out of that. As we expand our activities further and further into space for national security purposes, or for exploration or commercial or civil, the cutting-edge technologies of artificial intelligence and machine-to-machine engagements and machine learning are going to be part of that design work moving forward. And then there's the threat piece. As we operate these capabilities, as these constellations grow, that's going to be done via networks. And as I've already pointed out space is a war-fighting domain. That means those networks will come under attack. We expect that they will and that may happen early on in a conflict. It may happen during peace time in the same way that we see cyber attacks all the time, everywhere in many sectors of activity. And so by painting that picture, we start to see how it's intertwined at the very, very most basic level, the cutting edge of cyber and cutting edge of space. With that then comes the need to, any cutting edge cybersecurity capability that we have is naturally going to be needed as we develop space capabilities. And we're going to have to bake that in from the very beginning. We haven't done that in the past as well as we should, but moving forward from this point on, it will be an essential ingredient that we work into all of our capability. >> Roland, we're talkin' about now, critical infrastructure. We're talkin' about new capabilities being addressed really fast. So, it's kind of chaotic now there's threats. So it's not as easy as just having capabilities, 'cause you've got to deal with the threats the general just pointed out. But now you've got critical infrastructure, which then will enable other things down the line. How do you protect it? How do we address this? How do you see this being addressed from a security standpoint? Because malware, these techniques can be mapped in, extended into space and takeovers, wartime, peace time, these things are all going to be under threat. That's pretty well understood, and I think people kind of get that. How do we address it? What's your take? >> Yeah, yeah, absolutely. And I couldn't agree more with General Shaw, with cybersecurity and space being so intertwined. And, I think with fast and rapid innovation comes the opportunity for threats, especially if you have bad actors that want to cause harm. And so, as a technology innovator and you're pushing the bounds, you kind of have a common goal of doing the best you can, and pushing the technology bounds, making it smaller, faster, cheaper. But a lot of times what entrepreneurs and small businesses and supply chains are doing, and don't realize it, is a lot of these components are dual use. I mean, you could have a very benign commercial application, but then a small modification to it, can turn it into a military application. And if you do have these bad actors, they can exploit that. And so, I think that the big thing is creating a organization that is non-biased, that just wants to kind of level the playing field for everybody to create a set standard for cybersecurity in space. I think one group that would be perfect for that is CCI. They understand both the cybersecurity side of things, and they also have at Cal Poly the small satellite group. And just having kind of a clearing house or an agency where can provide information that is free, you don't need a membership for. And to be able to kind of collect that, but also reach out to the entire value chain for a mission, and making them aware of what potential capabilities are and then how it might be potentially used as a weapon. And keeping them informed, because I think the vast majority of people in the space industry just want to do the right thing. And so, how do we get that information free flowing to the U.S. government so that they can take that information, create assessments, and be able to, not necessarily stop threats from occurring presently, but identify them long before that they would ever even happen. Yeah, that's- >> General, I want to follow up on that real quick before we move to the next top track. Critical infrastructure you mentioned, across the oceans long distance, volume. When you look at the physical world, you had power grids here in the United States, you had geography, you had perimeters, the notion of a perimeter and a moat, and then you had digital comes in. Then you have, we saw software open up, and essentially take down this idea of a perimeter, and from a defense standpoint, and everything changed. And we have to fortify those critical assets in the U.S. Space increases the same problem statement significantly, because you can't just have a perimeter, you can't have a moat, it's open, it's everywhere. Like what digital's done, and that's why we've seen a surge of cyber in the past two decades, attacks with software. So, this isn't going to go away. You need the critical infrastructure, you're putting it up there, you're formulating it, and you got to protect it. How do you view that? Because it's going to be an ongoing problem statement. What's the current thinking? >> Yeah, I think my sense is that a mindset that you can build a firewall, or a defense, or some other system that isn't dynamic in its own right, is probably not headed in the right direction. I think cybersecurity in the future, whether it's for space systems, or for other critical infrastructure is going to be a dynamic fight that happens at a machine-to-machine speed and dynamic. I don't think that it's too far off where we will have machines writing their own code in real time to fight off attacks that are coming at them. And by the way, the offense will probably be doing the same kind of thing. And so, I guess I would not want to think that the answer is something that you just build it and you leave it alone and it's good enough. It's probably going to be a constantly-evolving capability, constantly reacting to new threats and staying ahead of those threats. >> That's the kind of use case, you know as you were, kind of anecdotal example is the exciting new software opportunities for computer science majors. I mean, I tell my young kids and everyone, man it's more exciting now. I wish I was 18 again, it's so exciting with AI. Roland, I want to get your thoughts. We were joking on another panel with the DoD around space and the importance of it obviously, and we're going to have that here. And then we had a joke. It's like, oh software's defined everything. Software's everything, AI. And I said, "Well here in the United States, companies had data centers and then they went to the cloud." And then he said, "You can do break, fix, it's hard to do break, fix in space. You can't just send a tech up." I get that today, but soon maybe robotics. The general mentions robotics technologies, in referencing some of the accomplishments. Fixing things is almost impossible in space. But maybe form factors might get better. Certainly software will play a role. What's your thoughts on that landscape? >> Yeah, absolutely. You know, for software in orbit, there's a push for software-defined radios to basically go from hardware to software. And that's a critical link. If you can infiltrate that and a small satellite has propulsion on board, you could take control of that satellite and cause a lot of havoc. And so, creating standards and that kind of initial threshold of security, for let's say these radios, or communications and making that available to the entire supply chain, to the satellite builders, and operators is incredibly key. And that's again, one of the initiatives that CCI is tackling right now as well. >> General, I want to get your thoughts on best practices around cybersecurity, state-of-the-art today, and then some guiding principles, and kind of how the, if you shoot the trajectory forward, what might happen around supply chain? There's been many stories where, we outsource the chips and there's a little chip sittin' in a thing and it's built by someone else in China, and the software is written from someone in Europe, and the United States assembles it, it gets shipped and it's corrupt, and it has some cyber, I'm making it up, I'm oversimplifying the statement. But this is what when you have space systems that involve intellectual property from multiple partners, whether it's from software to creation and then deployment. You got supply chain tiers. What are some of best practices that you see involving, that don't stunt the innovation, but continues to innovate, but people can operate safely. What's your thoughts? >> Yeah, so on supply chain, I think the symposium here is going to get to hear from General JT Thompson from space and missile system center down in Los Angeles, and he's just down the road from us there on the coast. And his team is the one that we look to to really focus on, as he fires and develops to again bake in cybersecurity from the beginning and knowing where the components are coming from, and properly assessing those as you put together your space systems, is a key piece of what his team is focused on. So I expect, we'll hear him talk about that. When it talks to, I think, so you asked the question a little more deeply about how do the best practices in terms of how we now develop moving forward. Well, another way that we don't do it right, is if we take a long time to build something and then General JT Thompson's folks take a while to build something, and then they hand it over to me, and my team operate and then they go hands free. And then that's what I have for years to operate until the next thing comes along. That's a little old school. What we're going to have to do moving forward with our space capabilities, and with the cyber piece baked in is continually developing new capability sets as we go. We actually have partnership between General Thompson's team and mine here at Vandenberg on our ops floor, or our combined space operation center, that are actually working in real time together, better tools that we can use to understand what's going on in the space environment to better command and control our capabilities anywhere from military satellite communications, to space domain awareness, sensors, and such. And we're developing those capabilities in real time. And with the security pieces. So DevSecOps is we're practicing that in real time. I think that is probably the standard today that we're trying to live up to as we continue to evolve. But it has to be done again, in close partnership all the time. It's not a sequential, industrial-age process. While I'm on the subject of partnerships. So, General Thompson's team and mine have good partnerships. It's partnerships across the board are going to be another way that we are successful. And that it means with academia and some of the relationships that we have here with Cal Poly. It's with the commercial sector in ways that we haven't done before. The old style business was to work with just a few large companies that had a lot of space experience. Well, we need a lot of kinds of different experience and technologies now in order to really field good space capabilities. And I expect we'll see more and more non-traditional companies being part of, and organizations, being part of that partnership that will work goin' forward. I mentioned at the beginning that allies are important to us. So everything that Roland and I have been talking about I think you have to extrapolate out to allied partnerships. It doesn't help me as a combined force component commander, which is again, one of my jobs. It doesn't help me if the United States capabilities are cybersecure, but I'm tryin' to integrate them with capabilities from an ally that are not cybersecure. So that partnership has to be dynamic and continually evolving together. So again, close partnering, continually developing together from the acquisition to the operational sectors, with as many different sectors of our economy as possible, are the ingredients to success. >> General, I'd love to just follow up real quick. I was having just a quick reminder for a conversation I had with last year with General Keith Alexander, who does a lot of cybersecurity work, and he was talking about the need to share faster. And the new school is you got to share faster to get the data, you mentioned observability earlier, you need to see what everything's out there. He's a real passionate person around getting the data, getting it fast and having trusted partners. So that's not, it's kind of evolving as, I mean, sharing's a well known practice, but with cyber it's sensitive data potentially. So there's a trust relationship. There's now a new ecosystem. That's new for government. How do you view all that and your thoughts on that trend of the sharing piece of it on cyber? >> So, I don't know if it's necessarily new, but it's at a scale that we've never seen before. And by the way, it's vastly more complicated and complex when you overlay from a national security perspective, classification of data and information at various levels. And then that is again complicated by the fact you have different sharing relationships with different actors, whether it's commercial, academic, or allies. So it gets very, very complex web very quickly. So that's part of the challenge we're workin' through. How can we effectively share information at multiple classification levels with multiple partners in an optimal fashion? It is certainly not optimal today. It's very difficult, even with maybe one industry partner for me to be able to talk about data at an unclassified level, and then various other levels of classification to have the traditional networks in place to do that. I could see a solution in the future where our cybersecurity is good enough that maybe I only really need one network and the information that is allowed to flow to the players within the right security environment to make that all happen as quickly as possible. So you've actually, John you've hit on yet another big challenge that we have, is evolving our networks to properly share, with the right people, at the right clearance levels at the speed of war, which is what we're going to need. >> Yeah, and I wanted to call that out because this is an opportunity, again, this discussion here at Cal Poly and around the world is for new capabilities and new people to solve the problems. It's again, it's super exciting if you're geeking out on this. If you have a tech degree or you're interested in changin' the world, there's so many new things that could be applied right now. Roland, I want to get your thoughts on this, because one of the things in the tech trends we're seeing, and this is a massive shift, all the theaters of the tech industry are changing rapidly at the same time. And it affects policy law, but also deep tech. The startup communities are super important in all this too. We can't forget them. Obviously, the big trusted players that are partnering certainly on these initiatives, but your story about being in the dorm room. Now you've got the boardroom and now you got everything in between. You have startups out there that want to and can contribute. You know, what's an ITAR? I mean, I got all these acronym certifications. Is there a community motion to bring startups in, in a safe way, but also give them ability to contribute? Because you look at open source, that proved everyone wrong on software. That's happening now with this now open network concept, the general was kind of alluding to. Which is, it's a changing landscape. Your thoughts, I know you're passionate about this. >> Yeah, absolutely. And I think as General Shaw mentioned, we need to get information out there faster, more timely and to the right people, and involving not only just stakeholders in the U.S., but internationally as well. And as entrepreneurs, we have this very lofty vision or goal to change the world. And oftentimes, entrepreneurs, including myself, we put our heads down and we just run as fast as we can. And we don't necessarily always kind of take a breath and take a step back and kind of look at what we're doing and how it's touching other folks. And in terms of a community, I don't know of any formal community out there, it's mostly ad hoc. And, these ad hoc communities are folks who let's say was a student working on a satellite in college. And they loved that entrepreneurial spirit. And so they said, "Well, I'm going to start my own company." And so, a lot of these ad hoc networks are just from relationships that have been built over the last two decades from colleagues at the university. I do think formalizing this and creating kind of a clearing house to handle all of this is incredibly important. >> And there's going to be a lot of entrepreneurial activity, no doubt, I mean there's too many things to work on and not enough time. I mean this brings up the question that I'm going to, while we're on this topic, you got the remote work with COVID, everyone's workin' remotely, we're doin' this remote interview rather than being on stage. Work's changing, how people work and engage. Certainly physical will come back. But if you looked at historically the space industry and the talent, they're all clustered around the bases. And there's always been these areas where you're a space person. You kind of work in there and the job's there. And if you were cyber, you were generally in other areas. Over the past decade, there's been a cross-pollination of talent and location. As you see the intersection of space, general we'll start with you, first of all, central coast is a great place to live. I know that's where you guys live. But you can start to bring together these two cultures. Sometimes they're not the same. Maybe they're getting better. We know they're being integrated. So general, can you just share your thoughts because this is one of those topics that everyone's talkin' about, but no one's actually kind of addressed directly. >> Yeah, John, I think so. I think I want to answer this by talkin' about where I think the Space Force is going. Because I think if there was ever an opportunity or an inflection point in our Department of Defense to sort of change culture and try to bring in non-traditional kinds of thinking and really kind of change maybe some of the ways that the Department of Defense does things that are probably archaic, Space Force is an inflection point for that. General Raymond, our Chief of Space Operations, has said publicly for awhile now, he wants the U.S. Space Force to be the first truly digital service. And what we mean by that is we want the folks that are in the Space Force to be the ones that are the first adopters, the early adopters of technology. To be the ones most fluent in the cutting edge, technologic developments on space and cyber and other sectors of the economy that are technologically focused. And I think there's some, that can generate some excitement, I think. And it means that we'll probably ended up recruiting people into the Space Force that are not from the traditional recruiting areas that the rest of the Department of Defense looks to. And I think it allows us to bring in a diversity of thought and diversity of perspective and a new kind of motivation into the service, that I think is frankly really exciting. So if you put together everything I mentioned about how space and cyber are going to be best friends forever. And I think there's always been an excitement from the very beginning in the American psyche about space. You start to put all these ingredients together, and I think you see where I'm goin' with this. That this is a chance to really change that cultural mindset that you were describing. >> It's an exciting time for sure. And again, changing the world. And this is what you're seeing today. People do want to change the world. They want a modern world that's changing. Roland, I'll get your thoughts on this. I was having an interview a few years back with a technology entrepreneur, a techie, and we were joking, we were just kind of riffing. And I said, "Everything that's on "Star Trek" will be invented." And we're almost there actually, if you think about it, except for the transporter room. You got video, you got communicators. So, not to bring in the "Star Trek" reference with Space Force, this is digital. And you start thinking about some of the important trends, it's going to be up and down the stack, from hardware to software, to user experience, everything. Your thoughts and reaction. >> Yeah, absolutely. And so, what we're seeing is timelines shrinking dramatically because of the barrier to entry for new entrants and even your existing aerospace companies is incredibly low, right? So if you take previously where you had a technology on the ground and you wanted it in orbit, it would take years. Because you would test it on the ground. You would verify that it can operate in a space environment. And then you would go ahead and launch it. And we're talking tens, if not hundreds of millions of dollars to do that. Now, we've cut that down from years to months. When you have a prototype on the ground and you want to get it launched, you don't necessarily care if it fails on orbit the first time, because you're getting valuable data back. And so, we're seeing technology being developed for the first time on the ground and in orbit in a matter of a few months. And the whole kind of process that we're doing as a small business is trying to enable that. And so, allowing these entrepreneurs and small companies to get their technology in orbit at a price that is sometimes even cheaper than testing on the ground. >> You know this is a great point. I think this is really an important point to call out because we mentioned partnerships earlier, the economics and the business model of space is doable. I mean, you do a mission study. You get paid for that. You have technology that you get stuff up quickly, and there's a cost structure there. And again, the alternative was waterfall planning, years and millions. Now the form factors are doing, now, again, there may be different payloads involved, but you can standardize payloads. You've got robotic arms. This is all available. This brings up the congestion problem. This is going to be on the top of mind of the generals of course, but you've got the proliferation of these constellation systems. You're going to have more and more tech vectors. I mean, essentially that's malware. I mean, that's a probe. You throw something up in space that could cause some interference. Maybe a takeover. General, this is the real elephant in the room, the threat matrix from new stuff and new configurations. So general, how does the proliferation of constellation systems change the threat matrix? >> So I think the, you know I guess I'm going to be a little more optimistic John than I think you pitched that. I'm actually excited about these new mega constellations in LEO. I'm excited about the growing number of actors that are going into space for various reasons. And why is that? It's because we're starting to realize a new economic engine for the nation and for human society. So the question is, so I think we want that to happen. When we could go to almost any other domain in history and when air travel started to become much, much more commonplace with many kinds of actors from private pilots flying their small planes, all the way up to large airliners, there was a problem with congestion. There was a problem about, challenges about behavior, and are we going to be able to manage this? And yes we did. And it was for the great benefit of society. I could probably look to the maritime domain for similar kinds of things. And so this is actually exciting about space. We are just going to have to find the ways as a society, and it's not just the Department of Defense, it's going to be civil, it's going to be international, find the mechanisms to encourage this continued investment in the space domain. I do think that Space Force will play a role in providing security in the space environment, as we venture further out, as economic opportunities emerge, wherever they are in the lunar, Earth, lunar system, or even within the solar system. Space Force is going to play a role in that. But I'm actually really excited about those possibilities. Hey, by the way, I got to say, you made me think of this when you talked about "Star Trek" and Space Force and our technologies, I remember when I was younger watchin' the Next Generation series. I thought one of the coolest things, 'cause bein' a musician in my spare time, I thought one of the coolest things was when Commander Riker would walk into his quarters and say, "Computer play soft jazz." And there would just be, the computer would just play music. And this was an age when we had hard media. Like how will that, that is awesome. Man, I can't wait for the 23rd century when I can do that. And where we are today is so incredible on those lines. The things that I can ask Alexa or Siri to play. >> Well that's the thing, everything that's on "Star Trek," think about it, it's almost invented. I mean, you got the computers, you got, the only thing really is, holograms are startin' to come in, you got, now the transporter room. Now that's physics. We'll work on that. >> So there is this balance between physics and imagination, but we have not exhausted either. >> Well, firstly, everyone that knows me knows I'm a huge "Star Trek" fan, all the series. Of course, I'm an original purist, but at that level. But this is about economic incentive as well. Roland, I want to get your thoughts, 'cause the gloom and doom, we got to think about the bad stuff to make it good. If I put my glass half full on the table, this economic incentives, just like the example of the plane and the air traffic. There's more actors that are incented to have a secure system. What's your thoughts to general's comments around the optimism and the potential threat matrix that needs to be managed. >> Absolutely, so one of the things that we've seen over the years, as we build these small satellites is a lot of that technology that the General's talking about, voice recognition, miniaturized chips, and sensors, started on the ground. And I mean, you have your iPhone, that, about 15 years ago before the first iPhone came out, we were building small satellites in the lab and we were looking at cutting-edge, state-of-the-art magnetometers and sensors that we were putting in our satellites back then. We didn't know if they were going to work. And then a few years later, as these students graduate, they go off and they go out to other industries. And so, some of the technology that was first kind of put in these CubeSats in the early 2000s, kind of ended up in the first generation iPhone, smartphones. And so being able to take that technology, rapidly incorporate that into space and vice versa gives you an incredible economic advantage. Because not only are your costs going down because you're mass producing these types of terrestrial technologies, but then you can also increase revenue and profit by having smaller and cheaper systems. >> General, let's talk about that real quickly, that's a good point, I want to just shift it into the playbook. I mean, everyone talks about playbooks for management, for tech, for startups, for success. I mean, one of the playbooks that's clear from your history is investment in R&D around military and/or innovation that has a long view, spurs innovation, commercially. I mean, just there's a huge, many decades of history that shows that, hey we got to start thinking about these challenges. And next thing you know it's in an iPhone. This is history, this is not like a one off. And now with Space Force you're driving the main engine of innovation to be all digital. You know, we riff about "Star Trek" which is fun, the reality is you're going to be on the front lines of some really new, cool, mind-blowing things. Could you share your thoughts on how you sell that to the people who write the checks or recruit more talent? >> First, I totally agree with your thesis that national security, well, could probably go back an awful long way, hundreds to thousands of years, that security matters tend to drive an awful lot of innovation and creativity. You know I think probably the two things that drive people the most are probably an opportunity to make money, but beating that out are trying to stay alive. And so, I don't think that's going to go away. And I do think that Space Force can play a role as it pursues security structures, within the space domain to further encourage economic investment and to protect our space capabilities for national security purposes, are going to be at the cutting edge. This isn't the first time. I think we can point back to the origins of the internet, really started in the Department of Defense, with a partnership I should add, with academia. That's how the internet got started. That was the creativity in order to meet some needs there. Cryptography has its roots in security, in national security, but now we use it for economic reasons and a host of other kinds of reasons. And then space itself, I mean, we still look back to Apollo era as an inspiration for so many things that inspired people to either begin careers in technical areas or in space and so on. So I think in that same spirit, you're absolutely right. I guess I'm totally agreeing with your thesis. The Space Force will have a positive, inspirational influence in that way. And we need to realize that. So when we are asking for, when we're looking for how we need to meet capability needs, we need to spread that net very far, look for the most creative solutions and partner early and often with those that can work on those. >> When you're on the new frontier, you got to have a team sport, it's a team effort. And you mentioned the internet, just anecdotally I'm old enough to remember this 'cause I remember the days that it was goin' on, is that the policy decisions that the U.S. made at that time was to let it go a little bit invisible hand. They didn't try to commercialize it too fast. But there was some policy work that was done, that had a direct effect to the innovation. Versus take it over, and the next thing you know it's out of control. So I think there's this cross-disciplinary skillset becomes a big thing where you need to have more people involved. And that's one of the big themes of this symposium. So it's a great point. Thank you for sharing that. Roland, your thoughts on this because you got policy decisions. We all want to run faster. We want to be more innovative, but you got to have some ops view. Now, most of the ops view people want things very tight, very buttoned up, secure. The innovators want to go faster. It's the ying and yang. That's the world we live in. How's it all balance in your mind? >> Yeah, one of the things that may not be apparently obvious is that the U.S. government and Department of Defense is one of the biggest investors in technology in the aerospace sector. They're not the traditional venture capitalists, but they're the ones that are driving technology innovation because there's funding. And when companies see that the U.S. government is interested in something, businesses will revector to provide that capability. And, I would say the more recent years, we've had a huge influx of private equity, venture capital coming into the markets to kind of help augment the government investment. And I think having a good partnership and a relationship with these private equity, venture capitalists and the U.S. government is incredibly important because the two sides can help collaborate and kind of see a common goal. But then also too, on the other side there's that human element. And as General Shaw was saying, not only do companies obviously want to thrive and do really well, some companies just want to stay alive to see their technology kind of grow into what they've always dreamed of. And oftentimes entrepreneurs are put in a very difficult position because they have to make payroll, they have to keep the lights on. And so, sometimes they'll take investment from places where they may normally would not have, from potentially foreign investment that could potentially cause issues with the U.S. supply chain. >> Well, my final question is the best I wanted to save for last, because I love the idea of human space flight. I'd love to be on Mars. I'm not sure I'm able to make it someday, but how do you guys see the possible impacts of cybersecurity on expanding human space flight operations? I mean, general, this is your wheelhouse. This is your in command, putting humans in space and certainly robots will be there because they're easy to go 'cause they're not human. But humans in space. I mean, you startin' to see the momentum, the discussion, people are scratchin' that itch. What's your take on that? How do we see makin' this more possible? >> Well, I think we will see commercial space tourism in the future. I'm not sure how wide and large a scale it will become, but we will see that. And part of the, I think the mission of the Space Force is going to be probably to again, do what we're doin' today is have really good awareness of what's going on in the domain to ensure that that is done safely. And I think a lot of what we do today will end up in civil organizations to do space traffic management and safety in that arena. And, it is only a matter of time before we see humans going, even beyond the, NASA has their plan, the Artemis program to get back to the moon and the gateway initiative to establish a space station there. And that's going to be a NASA exploration initiative. But it is only a matter of time before we have private citizens or private corporations putting people in space and not only for tourism, but for economic activity. And so it'll be really exciting to watch. It'll be really exciting and Space Force will be a part of it. >> General, Roland, I want to thank you for your valuable time to come on this symposium. Really appreciate it. Final comment, I'd love you to spend a minute to share your personal thoughts on the importance of cybersecurity to space and we'll close it out. We'll start with you Roland. >> Yeah, so I think the biggest thing I would like to try to get out of this from my own personal perspective is creating that environment that allows the aerospace supply chain, small businesses like ourselves, be able to meet all the requirements to protect and safeguard our data, but also create a way that we can still thrive and it won't stifle innovation. I'm looking forward to comments and questions, from the audience to really kind of help, basically drive to that next step. >> General final thoughts, the importance of cybersecurity to space. >> I'll go back to how I started I think John and say that space and cyber are forever intertwined, they're BFFs. And whoever has my job 50 years from now, or a hundred years from now, I predict they're going to be sayin' the exact same thing. Cyber and space are intertwined for good. We will always need the cutting edge, cybersecurity capabilities that we develop as a nation or as a society to protect our space capabilities. And our cyber capabilities are going to need space capabilities in the future as well. >> General John Shaw, thank you very much. Roland Coelho, thank you very much for your great insight. Thank you to Cal Poly for puttin' this together. I want to shout out to the team over there. We couldn't be in-person, but we're doing a virtual remote event. I'm John Furrier with "theCUBE" and SiliconANGLE here in Silicon Valley, thanks for watching. (upbeat music)

>>Hi, everyone. My name is my uncle. My uncle Poor I worked with Geo reminds you in India. We call ourselves Geo Platforms. Now on. We've been recently in the news. You've raised a lot off funding from one of the largest, most of the largest tech companies in the world. And I'm here to talk about Geos Cloud Journey, Onda Mantis Partnership. I've titled it the story often, Underdog becoming the largest telecom company in India within four years, which is really special. And we're, of course, held by the cloud. So quick disclaimer. Right. The content shared here is only for informational purposes. Um, it's only for this event. And if you want to share it outside, especially on social media platforms, we need permission from Geo Platforms limited. Okay, quick intro about myself. I am a VP of engineering a geo. I lead the Cloud Services and Platforms team with NGO Andi. I mean the geo since the beginning, since it started, and I've seen our cloud footprint grow from a handful of their models to now eight large application data centers across three regions in India. And we'll talk about how we went here. All right, Let's give you an introduction on Geo, right? Giorgio is on how we became the largest telecom campaign, India within four years from 0 to 400 million subscribers. And I think there are There are a lot of events that defined Geo and that will give you an understanding off. How do you things and what you did to overcome massive problems in India. So the slide that I want to talkto is this one and, uh, I The headline I've given is, It's the Geo is the fastest growing tech company in the world, which is not a new understatement. It's eggs, actually, quite literally true, because very few companies in the world have grown from zero to 400 million subscribers within four years paying subscribers. And I consider Geo Geos growth in three phases, which I have shown on top. The first phase we'll talk about is how geo grew in the smartphone market in India, right? And what we did to, um to really disrupt the telecom space in India in that market. Then we'll talk about the feature phone phase in India and how Geo grew there in the future for market in India. and then we'll talk about what we're doing now, which we call the Geo Platforms phase. Right. So Geo is a default four g lt. Network. Right. So there's no to geo three g networks that Joe has, Um it's a state of the art four g lt voiceover lt Network and because it was designed fresh right without any two D and three G um, legacy technologies, there were also a lot of challenges Lawn geo when we were starting up. One of the main challenges waas that all the smart phones being sold in India NGOs launching right in 2000 and 16. They did not have the voice or lt chip set embedded in the smartphone because the chips it's far costlier to embed in smartphones and India is a very price and central market. So none of the manufacturers were embedding the four g will teach upset in the smartphones. But geos are on Lee a volte in network, right for the all the network. So we faced a massive problem where we said, Look there no smartphones that can support geo. So how will we grow Geo? So in order to solve that problem, we launched our own brand of smartphones called the Life um, smartphones. And those phones were really high value devices. So there were $50 and for $50 you get you You At that time, you got a four g B storage space. A nice big display for inch display. Dual cameras, Andi. Most importantly, they had volte chip sets embedded in them. Right? And that got us our initial customers the initial for the launch customers when we launched. But more importantly, what that enabled other oh, EMS. What that forced the audience to do is that they also had to launch similar smartphones competing smartphones with voltage upset embedded in the same price range. Right. So within a few months, 3 to 4 months, um, all the other way EMS, all the other smartphone manufacturers, the Samsung's the Micromax is Micromax in India, they all had volte smartphones out in the market, right? And I think that was one key step We took off, launching our own brand of smartphone life that helped us to overcome this problem that no smartphone had. We'll teach upsets in India and then in order. So when when we were launching there were about 13 telecom companies in India. It was a very crowded space on demand. In order to gain a foothold in that market, we really made a few decisions. Ah, phew. Key product announcement that really disrupted this entire industry. Right? So, um, Geo is a default for GLT network itself. All I p network Internet protocol in everything. All data. It's an all data network and everything from voice to data to Internet traffic. Everything goes over this. I'll goes over Internet protocol, and the cost to carry voice on our smartphone network is very low, right? The bandwidth voice consumes is very low in the entire Lt band. Right? So what we did Waas In order to gain a foothold in the market, we made voice completely free, right? He said you will not pay anything for boys and across India, we will not charge any roaming charges across India. Right? So we made voice free completely and we offer the lowest data rates in the world. We could do that because we had the largest capacity or to carry data in India off all the other telecom operators. And these data rates were unheard off in the world, right? So when we launched, we offered a $2 per month or $3 per month plan with unlimited data, you could consume 10 gigabytes of data all day if you wanted to, and some of our subscriber day. Right? So that's the first phase off the overgrowth and smartphones and that really disorders. We hit 100 million subscribers in 170 days, which was very, very fast. And then after the smartphone faith, we found that India still has 500 million feature phones. And in order to grow in that market, we launched our own phone, the geo phone, and we made it free. Right? So if you take if you took a geo subscription and you carried you stayed with us for three years, we would make this phone tree for your refund. The initial deposit that you paid for this phone and this phone had also had quite a few innovations tailored for the Indian market. It had all of our digital services for free, which I will talk about soon. And for example, you could plug in. You could use a cable right on RCR HDMI cable plug into the geo phone and you could watch TV on your big screen TV from the geophones. You didn't need a separate cable subscription toe watch TV, right? So that really helped us grow. And Geo Phone is now the largest selling feature phone in India on it. 100 million feature phones in India now. So now now we're in what I call the geo platforms phase. We're growing of a geo fiber fiber to the home fiber toe the office, um, space. And we've also launched our new commerce initiatives over e commerce initiatives and were steadily building platforms that other companies can leverage other companies can use in the Jeon o'clock. Right? So this is how a small startup not a small start, but a start of nonetheless least 400 million subscribers within four years the fastest growing tech company in the world. Next, Geo also helped a systemic change in India, and this is massive. A lot of startups are building on this India stack, as people call it, and I consider this India stack has made up off three things, and the acronym I use is jam. Trinity, right. So, um, in India, systemic change happened recently because the Indian government made bank accounts free for all one billion Indians. There were no service charges to store money in bank accounts. This is called the Jonathan. The J. GenDyn Bank accounts. The J out off the jam, then India is one of the few countries in the world toe have a digital biometric identity, which can be used to verify anyone online, which is huge. So you can simply go online and say, I am my ankle poor on duh. I verify that this is indeed me who's doing this transaction. This is the A in the jam and the last M stands for Mobil's, which which were held by Geo Mobile Internet in a plus. It is also it is. It also stands for something called the U. P I. The United Unified Payments Interface. This was launched by the Indian government, where you can carry digital transactions for free. You can transfer money from one person to the to another, essentially for free for no fee, right so I can transfer one group, even Indian rupee to my friend without paying any charges. That is huge, right? So you have a country now, which, with a with a billion people who are bank accounts, money in the bank, who you can verify online, right and who can pay online without any problems through their mobile connections held by G right. So suddenly our market, our Internet market, exploded from a few million users to now 506 106 100 million mobile Internet users. So that that I think, was a massive such a systemic change that happened in India. There are some really large hail, um, numbers for this India stack, right? In one month. There were 1.6 billion nuclear transactions in the last month, which is phenomenal. So next What is the impact of geo in India before you started, we were 155th in the world in terms off mobile in terms of broadband data consumption. Right. But after geo, India went from one 55th to the first in the world in terms of broadband data, largely consumed on mobile devices were a mobile first country, right? We have a habit off skipping technology generation, so we skip fixed line broadband and basically consuming Internet on our mobile phones. On average, Geo subscribers consumed 12 gigabytes of data per month, which is one of the highest rates in the world. So Geo has a huge role to play in making India the number one country in terms off broad banded consumption and geo responsible for quite a few industry first in the telecom space and in fact, in the India space, I would say so before Geo. To get a SIM card, you had to fill a form off the physical paper form. It used to go toe Ah, local distributor. And that local distributor is to check the farm that you feel incorrectly for your SIM card and then that used to go to the head office and everything took about 48 hours or so, um, to get your SIM card. And sometimes there were problems there also with a hard biometric authentication. We enable something, uh, India enable something called E K Y C Elektronik. Know your customer? We took a fingerprint scan at our point of Sale Reliance Digital stores, and within 15 minutes we could verify within a few minutes. Within a few seconds we could verify that person is indeed my hunk, right, buying the same car, Elektronik Lee on we activated the SIM card in 15 minutes. That was a massive deal for our growth. Initially right toe onboard 100 million customers. Within our and 70 days. We couldn't have done it without be K. I see that was a massive deal for us and that is huge for any company starting a business or start up in India. We also made voice free, no roaming charges and the lowest data rates in the world. Plus, we gave a full suite of cloud services for free toe all geo customers. For example, we give goTV essentially for free. We give GOTV it'll law for free, which people, when we have a launching, told us that no one would see no one would use because the Indians like watching TV in the living rooms, um, with the family on a big screen television. But when we actually launched, they found that GOTV is one off our most used app. It's like 70,000,080 million monthly active users, and now we've basically been changing culture in India where culture is on demand. You can watch TV on the goal and you can pause it and you can resume whenever you have some free time. So really changed culture in India, India on we help people liver, digital life online. Right, So that was massive. So >>I'm now I'd like to talk about our cloud >>journey on board Animal Minorities Partnership. We've been partners that since 2014 since the beginning. So Geo has been using open stack since 2014 when we started with 14 note luster. I'll be one production environment One right? And that was I call it the first wave off our cloud where we're just understanding open stack, understanding the capabilities, understanding what it could do. Now we're in our second wave. Where were about 4000 bare metal servers in our open stack cloud multiple regions, Um, on that around 100,000 CPU cores, right. So it's a which is one of the bigger clouds in the world, I would say on almost all teams, with Ngor leveraging the cloud and soon I think we're going to hit about 10,000 Bama tools in our cloud, which is massive and just to give you a scale off our network, our in French, our data center footprint. Our network introduction is about 30 network data centers that carry just network traffic across there are there across India and we're about eight application data centers across three regions. Data Center is like a five story building filled with servers. So we're talking really significant scale in India. And we had to do this because when we were launching, there are the government regulation and try it. They've gotten regulatory authority of India, mandates that any telecom company they have to store customer data inside India and none of the other cloud providers were big enough to host our clothes. Right. So we we made all this intellectual for ourselves, and we're still growing next. I love to show you how we grown with together with Moran says we started in 2014 with the fuel deployment pipelines, right? And then we went on to the NK deployment. Pipelines are cloud started growing. We started understanding the clouds and we picked up M C p, which has really been a game changer for us in automation, right on DNA. Now we are in the latest release, ofem CPM CPI $2019 to on open stack queens, which on we've just upgraded all of our clouds or the last few months. Couple of months, 2 to 3 months. So we've done about nine production clouds and there are about 50 internal, um, teams consuming cloud. We call as our tenants, right. We have open stack clouds and we have communities clusters running on top of open stack. There are several production grade will close that run on this cloud. The Geo phone, for example, runs on our cloud private cloud Geo Cloud, which is a backup service like Google Drive and collaboration service. It runs out of a cloud. Geo adds G o g S t, which is a tax filing system for small and medium enterprises, our retail post service. There are all these production services running on our private clouds. We're also empaneled with the government off India to provide cloud services to the government to any State Department that needs cloud services. So we were empaneled by Maiti right in their ego initiative. And our clouds are also Easter. 20,000 certified 20,000 Colin one certified for software processes on 27,001 and said 27,017 slash 18 certified for security processes. Our clouds are also P our data centers Alsop a 942 be certified. So significant effort and investment have gone toe These data centers next. So this is where I think we've really valued the partnership with Morantes. Morantes has has trained us on using the concepts of get offs and in fries cold, right, an automated deployments and the tool change that come with the M C P Morantes product. Right? So, um, one of the key things that has happened from a couple of years ago to today is that the deployment time to deploy a new 100 north production cloud has decreased for us from about 55 days to do it in 2015 to now, we're down to about five days to deploy a cloud after the bear metals a racked and stacked. And the network is also the physical network is also configured, right? So after that, our automated pipelines can deploy 100 0 clock in five days flight, which is a massive deal for someone for a company that there's adding bear metals to their infrastructure so fast, right? It helps us utilize our investment, our assets really well. By the time it takes to deploy a cloud control plane for us is about 19 hours. It takes us two hours to deploy a compu track and it takes us three hours to deploy a storage rack. Right? And we really leverage the re class model off M C. P. We've configured re class model to suit almost every type of cloud that we have, right, and we've kept it fairly generous. It can be, um, Taylor to deploy any type of cloud, any type of story, nor any type of compute north. Andi. It just helps us automate our deployments by putting every configuration everything that we have in to get into using infra introduction at school, right plus M. C. P also comes with pipelines that help us run automated tests, automated validation pipelines on our cloud. We also have tempest pipelines running every few hours every three hours. If I recall correctly which run integration test on our clouds to make sure the clouds are running properly right, that that is also automated. The re class model and the pipelines helpers automate day to operations and changes as well. There are very few seventh now, compared toa a few years ago. It very rare. It's actually the exception and that may be because off mainly some user letter as opposed to a cloud problem. We also have contributed auto healing, Prometheus and Manager, and we integrate parameters and manager with our even driven automation framework. Currently, we're using Stack Storm, but you could use anyone or any event driven automation framework out there so that it indicates really well. So it helps us step away from constantly monitoring our cloud control control planes and clothes. So this has been very fruitful for us and it has actually apps killed our engineers also to use these best in class practices like get off like in France cord. So just to give you a flavor on what stacks our internal teams are running on these clouds, Um, we have a multi data center open stack cloud, and on >>top of that, >>teams use automation tools like terra form to create the environments. They also create their own Cuba these clusters and you'll see you'll see in the next slide also that we have our own community that the service platform that we built on top of open stack to give developers development teams NGO um, easy to create an easy to destroy Cuban. It is environment and sometimes leverage the Murano application catalog to deploy using heats templates to deploy their own stacks. Geo is largely a micro services driven, Um um company. So all of our applications are micro services, multiple micro services talking to each other, and the leverage develops. Two sets, like danceable Prometheus, Stack stone from for Otto Healing and driven, not commission. Big Data's tax are already there Kafka, Patches, Park Cassandra and other other tools as well. We're also now using service meshes. Almost everything now uses service mesh, sometimes use link. Erred sometimes are experimenting. This is Theo. So So this is where we are and we have multiple clients with NGO, so our products and services are available on Android IOS, our own Geo phone, Windows Macs, Web, Mobile Web based off them. So any client you can use our services and there's no lock in. It's always often with geo, so our sources have to be really good to compete in the open Internet. And last but not least, I think I love toe talk to you about our container journey. So a couple of years ago, almost every team started experimenting with containers and communities and they were demand for as a platform team. They were demanding community that the service from us a manage service. Right? So we built for us, it was much more comfortable, much more easier toe build on top of open stack with cloud FBI s as opposed to doing this on bare metal. So we built a fully managed community that a service which was, ah, self service portal, where you could click a button and get a community cluster deployed in your own tenant on Do the >>things that we did are quite interesting. We also handle some geo specific use cases. So we have because it was a >>manage service. We deployed the city notes in our own management tenant, right? We didn't give access to the customer to the city. Notes. We deployed the master control plane notes in the tenant's tenant and our customers tenant, but we didn't give them access to the Masters. We didn't give them the ssh key the workers that the our customers had full access to. And because people in Genova learning and experimenting, we gave them full admin rights to communities customers as well. So that way that really helped on board communities with NGO. And now we have, like 15 different teams running multiple communities clusters on top, off our open stack clouds. We even handle the fact that there are non profiting. I people separate non profiting I peoples and separate production 49 p pools NGO. So you could create these clusters in whatever environment that non prod environment with more open access or a prod environment with more limited access. So we had to handle these geo specific cases as well in this communities as a service. So on the whole, I think open stack because of the isolation it provides. I think it made a lot of sense for us to do communities our service on top off open stack. We even did it on bare metal, but that not many people use the Cuban, indeed a service environmental, because it is just so much easier to work with. Cloud FBI STO provision much of machines and covering these clusters. That's it from me. I think I've said a mouthful, and now I love for you toe. I'd love to have your questions. If you want to reach out to me. My email is mine dot capulet r l dot com. I'm also you can also message me on Twitter at my uncouple. So thank you. And it was a pleasure talking to you, Andre. Let let me hear your questions.

(upbeat music) [Narrator] Live from Boston, Massachusetts, it's theCUBE, covering AWS re:Inforce 2019. Brought to you by Amazon Web Services and its ecosystem partners. >> Everyone, welcome back to the CUBE'S live coverage here in Boston for AWS re:Inforce, Amazon Web Service's inaugural event. I'm John Furrier, my co-host Dave Vellante, two days of wall to wall coverin'. Christian Beedgen is the CTO and co-founder of Sumo Logic. A couple we've covered on theCUBE many times as well as on our siliconANGLE.com. Great to see you thanks for coming out. >> Thanks for having me. >> Being the co-founder you've seen it, you guys are celebrating your tenth year. >> That's right. >> Congratulations. >> Thank you very much. >> theCUBE is now 10 years old this year too, >> Oh right on. >> So we're kind of in school together growing up. (laughing) >> Started right here. >> We're going to graduate together, right on. >> We'll go have a cocktail later maybe talk about some tech. I love talkin' tech. >> Yeah of course. >> Lets get into it. As the co-founder and CTO you've seen your journey. You guys have been doing great. You've seen the waves of big data. >> Yep. >> You've seen the evolution of cloud coming in. >> Yep. >> The infrastructures standing up more and more efficient, more effective. Game is changing, stakes are higher, what's your view of this industry right now? >> I think its on fire really, right? So, you know, on one level we have this, I think its fairly well known at this point that the data now today follows Moore's law right? So we have basically data grows you know, roughly two x year over year. That's exponential growth and that's pretty incredible, right? I think every business now knows or, you know, they either know or they act on it or they sort of know it at least, you know, subconsciously right? That they are essentially in a race to sort of optimize, their own business mostly based on data. >> In your opinion, Christian, what was the inflection point of the past few years? When did the data market really change for the highly accelerated we're seeing now because back in 2010 when you guys started when we started, we saw Hadoop just getting out of the blocks. >> Yep. >> People were standing up Hadoop clusters and being proud of it but then cloud came. Was there a point in time when you say, you know that was really the flash point where things started tipping over, or was cloud adoption or was it AI machines, was the machine learning? Where do you see that kick up on the growth of emphasis? >> So you know the Hadoop stuff basically came out of the ad optimization being you know businesses and that was like a small set of companies that really had to do that in order to basically compete with each other. And then we sort of got open source versions of that and then we'd got behind them after we'd do a small model and teaching people how to do that. I think in my mind I have sort of two things. One was you know, the whole of management space that I came out of and you know where I still am today coming out of, the security information of in management and you know a lot of management underneath. Semi-structure data, you know nasty data that doesn't fit into our relational data base. You know they are sort of-- and then lots and lots of that data as you put all the firewall data in there, we saw that back at dark side, where I spent a considerable amount of time. You know that becoming a problem that, like enterprise software that was kind of delivered, you know on a CD and then oh now go scale Oracle behind it, as in even data warehouses. That's kind of how I experience it. It just didn't really work very well, and we were kind of doing big data or trying to do big data. There were like various levels of success, right. We've already knowing about the term and then, you know, obviously, picked up on a new Windows type, so things and then, you know, but if you want to do big data or something like Hadoop, then you're suddenly running into having to run, you know, I don't know, a hundred instances. I'm already saying instances. A hundred boxes, 80 you know back then, or like maybe 500 boxes, and now you're running into all of the management, you know, challenges that distributed infrastructure brings. And in my mind, you know since you're like asking for an inflection point, I think Amazon EMR, you know, and my friends at Cloudera, they're not going to like me saying that because that's a long story but I think having something like Hadoop, put on an infrastructure as a service platform like Amazon and I think they did that fairly early on, right. I think it's still a great product. >> Cloud-scale's a lot faster, it emphasizes, it more, you can do more with it. >> Exactly. >> IoT comes around now you're connected, devices are coming in, natural place to just put that data lake as they now called it, and work with it. >> Exactly, exactly. So I think that's one inflection point and then the second one I think clearly was sort of the advancements especially around deep learning and so forth, right, where, you know, I think a lot of that, you know the deep mind stuff and so forth, where now along with the sort of exponential growth of data where there's also now much more sophisticated analysis that people want to run. I think that's another inflection point. >> Yeah, so 2010 you saw cloud and data coming together and obviously you guys saw the need to secure that. What are the challenges of securing these massively distributed systems? >> Oh, there's a number of challenges, but, you know, it starts with sort of this basic law that says that, you know, that, you know processing data creates more data. Right, and if you look what business systems do, they're basically, you know, just like really fancy pocket calculators at life scale, right, but it's all about processing data. That's what computing means, right. And then as you do that it actually turns out that you create more data, which is all the logs, all the telemetry, the metrics tracing all of this type of stuff. And so these data sets become their own kind of, you know, big data nightmares potentially, right, but at the same time, they're full of, you know, really useful information to maintain availability performance, you know, to secure your systems and so forth. And I think the main challenge that we are seeing today with systems like ours and what's out there in the market is, you know, actually being able to scale. And it becomes almost an aggressive thing, it's kind of funny. >> You know, I got to ask you about the digital transformation equation that's out there. People, process, technology. I think people generally would agree that, hey, cloud's great, love deep learning, I mean how could you not, you know, get intoxicated on large-scale resources that's almost free and AI around the corner. It's good stuff, I mean pretty cool, right? And then the reality sits in, like you can't just hand wave it in, You got to hire people, you got to have the tech to do it, and then the process. And you made a profound comment before we came on camera, process is a reflection of culture. This is a really a big deal in the digital transformation. So, there are people out there, people are getting trained, there's a course you can take, you can buy technology that's getting better every day. Process seems to be where everyone's getting caught up on it and there's new ways to break through it and it's just a reality. What's your thoughts on process as a reflection of culture and how people can handle that and what people should think about? >> That's a good question. So I think what I'm seeing is that when we, we see a lot of companies at various stages of their sort of journey into the cloud. We come from the Bay Area so we have a lot of born in the cloud guys like ourselves and there's sort of a new culture that's kind of baked in from the beginning, but that's interesting. The even more interesting bits, in my mind, are when we are looking at companies that have been around for a long time. They basically, they're starting to realize that cloud transformation is almost more about basically picking up a culture of agile DevOps and then DevSecOps or whatever you want to call it. Apparently somebody at the keynote today made a nasty comment about it. Personally I didn't see it but again the whole Shift Left paradigm, but it's essentially a culture where you actually remove the silos that have been in place between departments, keeping people from working closely together, throwing stuff over the wall we all know how well that works, trying to keep your fiefdoms. And I find that all the successful cloud transformations stories that we've seen are really a decor, you know, cultural transformation stories, along the sort of plus minus DevOps route. >> So you're talking about the big challenge being scale, so two things you just said, well one is bringing together the mindset of infrastructure's code, we were talking about security as code. The other is automation, right. >> Absolutely. >> So that seems to be big focus of security practitioners. >> Yep. >> My question is, what's a good day look like to a security practitioner? >> Oh, I think, that's another really good question. I think there's an obvious answer, but I think the obvious answer would be I'm still in business, right, and I haven't leaked millions of Social Security numbers. >> Nothing happened, good day! >> And so I think that is definitely a good day but I think the sort of slightly more, I think, interesting answer is that I think a good day is day where you as a security practitioner have a bunch of good interactions with the rest of the folks in the company that are part of building products, on the operational side, on the development side, giving good feedback maybe to a bunch of developers maybe on secure coding practices, plugging in additional Veolia monitoring or code monitoring or scanning tools into the bill pipeline and so forth. And then also actually getting a bunch of alerts from all your monitoring systems and being able to very quickly figure out whether those are true positives or false positives and when they are true positives, being able to quickly react on them. >> So you guys, obviously cloud focused, that's a huge area for you, but I'm interested in how you say you differentiate. It's an extremely competitive market. What's your big differentiator? When you win, why do you win? >> So, it goes back to somewhat of a fundamental kind of things that led us to start the company. It's a little philosophy heavy, I guess, but it actually plays its way out in every single customer conversation, and every displacement and every time we end up expanding in the customer. And it's fundamentally that our philosophy is that this needs to be delivered as a service. That, you know, our philosophy is that enterprise software is just not a thing anymore. And our philosophy has always been that. >> It's very true. >> It's a good philosophy. >> It some days feels like, man, Christian, you've been saying the same thing for the last 10 years and here we are. Our philosophy is that you need monitoring, you need troubleshooting tools, you need security tools. Those tools themselves should not become behemoths in their selves where you're going to sink endless amount of resources and money into scaling and building them out and then who's going to monitor those? It's kind of you have a huge installation of vendor X and then how does that get monitored because if you don't monitor it then that thing will blow up and then you're blind again. So we just felt that this idea, what was really appealing to us from our experience was the idea that build the code but also run the code with ultimately get the customer back to actually using the tool rather than worrying about how the tool works underneath and having to worry about how to make it works. And we're all nerds and I love it and I wish I could understand all the stuff that happens in AWS underneath and every once in a while I meet some of these guys and it's very cool but that's where they deliver differentiation. And for us we can basically focus on delivering value to the customer. >> I think the cloud model, I think, shows everyone that you can deliver stuff as service, you have horizontal integration points that you need to keep aware of, certainly the data, you need horizontally scalability and freedom of access to the data and that brings up the goodness. I think that's a great philosophy, we subscribe certainly with you on that. You had mentioned earlier about alerts and one of the conversations that we're hearing around workforce and people is how many extra people are being deployed properly cause if everything's a service, then you can, if automation kicks in, and things are at service, you can eliminate things. So, one of the trends that we're hearing is the move from threat detection to alerts. >> Okay. >> Threat detections you can automate that and you can share data so the shared stuff kicks in. So that's a new kind of trend we're seeing alerts, quality alerts, having your people work on those kinds of problems, what to pay attention to on the monitoring side, becomes super important. Two years ago you couldn't walk down the street without threat detection, threat detection, threat detection. Although important, these mechanisms for that now. So what's your thoughts on the ongoing evolution from threat detection to alerts? >> I think it's about dehumaning the end. And all the machines are just sitting there, creating signals and we can have the discussion about AI and you know generally AI and all these sorts of things, I don't really believe that that's going to happen anytime soon. But I do like algorithmic approaches, I like the power of data analytics. Sometimes it's simple analytics that give good signals, sometimes it's complicated and very sort of sophisticated analytics, but in the end, none of these things can really capture any sort of objective truth and so it ends up in somebody's queue and then they got to burn through it. And that is fundamentally, again, a human problem in the best sense because I think that's we as humans, we have processing capabilities that have not been matched. >> And also humans want to hoard the data too. They're, "Aw I want to protect." And if you share the data, more transparency, better algorithms, better visibility, better alerts. >> Exactly. I do think, to a point, I think in the security space now, of course there's still a lot of hype around just add AiN you're going to be better but the reality is that this can only go so far. And it ends up in somebody's queue and analyst workflow, how do you treat ash incidents and so forth. How much time do you spend trying to figure out whether it's a true positive or a false positive, that all matters because no detection system will be perfect at only alerting you on true positives. >> I heard a comment the other night in the bar area, someone was commenting around security analytics and they said, "Yeah, if you don't really know what you're looking for, and you rely too heavily on these metrics, you end up with Chernobyl." Which, the Netflix series that's out about how they just following data >> AC-5 >> So they're you can just, if you're looking at the data too hard, not zooming out and taking a humanistic approach, why are you measuring something, why are you monitoring something, what is a quality signal? >> Look, I think it's fundamentally, this is all just tools. I'm a strong believer in, I don't know whether, I'm sort of a strong believer in the humans run the show. And I think that's what makes us human, right, I think outsourcing everything to an algorithm, especially when algorithms are making decisions about humans, that's like a wider topic, it gets very tricky and it usually backfires pretty quickly. >> So the security marketing narrative for decades has been fear. You're in trouble, you're in trouble, you got to be sure. Amazon put forth today in the keynote that the state of cloud security, the state of the union, is actually quite good and the focus should be on how to implement new tooling and we're actually really doing a great job. Do you buy that? >> To some degree. I do think that they're paying a lot of attention. I do like stuff that they've done from the beginning like security groups being deny all and all of those things. And they have a bunch of really smart guys over there that really care and worry about this type of stuff. I think they've also learned over the years in their own move towards selling from this side that's selling to a bunch of hipsters and then it started becoming a real enterprise play that all of these things are important, including having really good outage fail data and cloud trail and these types of things. The part that I like and we've argued this from the very beginning with our prospects when they basically kept saying you're putting the data in the cloud and how can I trust that? And we walk them through carefully in how we had designed our own security processes and a lot of what that was about automation and basically leveraging the APIs that we had. So basically at its core AWS has turned the data center into an API. And an API is something that I can automate and I can do a good job or I can do a bad job at that, that depends on the individual and so forth, but it's fundamentally a very powerful abstraction that allows one guy to do the work of potentially hundreds of people running around checking network connections. For me as a customer, that I can build a secure system on top of AWS. >> So they've turned the data center into an API, which is a very powerful metaphor, but they've turned it into a lot of APIs. How does that affect the complexity and the impact on security? >> Yeah, I know they are, look the reality is complex and I feel like their approach has been very carefully build from the bottom up, Lego by Lego, and then put other Legos on top of that. And I can very much appreciate that approach. I don't believe in one button security. I think it's just basically, everybody in the space knows that that's not a reality. >> Well we've asked Andy Jassy about this, John, and he said we want the fine grained access to primitives because when the market moves, we can move with it. If we don't have that, we put in all these abstraction layers that has implications on performance and, down the line, our agility. >> Power to the people, man, I think ultimately so many guys at Amazon, they're all very reasonable but you know they shouldn't make all the decisions. And everybody's use case is fundamentally a little bit different. And at the same time they're adding additional things because they realize that there's a lot of complexity even just looking at IM in these types of things is like, wow, okay, there's a lot of footguns built into this. The reality is that the entire industry is a giant footgun, on some level, so I like the fact that they ended up doing stuff like cloud trail and then pull all the cloud trail and repeat C logs that say flow logs into something like guard duty, for example, which they then try to do some correlation on there and they're trying to automate some of the detection as far as they can see it, as well. So I overall think they have a good approach to that. I think it's bottoms up. I think that works. I'm a builder type so for me that works. >> So Christian, final question, what're you looking at, CTO in the industry right now, what are some of the things you're looking at in the industry that's getting you excited and you guys are integrating into the vision? >> Well, it's really two things. I think one of the things we are seeing is as far as just general how people deploy software. We had containers and then nobody knew what to do with containers and it was orchestration and we now have Kubernetes basically having won all of the orchestration awards and I think that's going to be an industry standard that everybody has to deal with for the next couple of years. A lot of enterprise folks, is what I'm seeing, are now starting to kind of land on Kubernetes as part of sort of their cloud transformation, even if it's just pooling all the monoliths and then refactoring them afterwards. So I think that there's a lot of stuff going on there that Kubernetes adds its own layer of complexity. And there's opportunity for us there as a monitoring vendor. I'm extremely, I am probably more excited, almost irrationally excited about all the serverless stuff. I think I am a big proponent of not having to do undifferentiated heavy lifting. It feels to me that the sort of serverless track will get people to build better applications even faster in time to market everything that counts. And then on the security side I think that's an evergreen thing. You call it fear and then of course I've always said it's basically insurance. On some level, that's why the security market continues to be essentially evergreen and our customers are using us for their own security monitoring. We are building a lot of additional functionality there and I think that's going to continue to be a big and ongoing discussion because the underlying primitives, now you have Kubernetes, how do you secure that, how do you even build security in the serverless phase and whatever comes next after that. >> And I think also that point, I think you're seeing new brands are emerging as suppliers because they have that architectural, horizontal, the view. They're thinking holistically around the tech stacks and thinking about the role of data and just IoT is just a mind-blowing conversation around, where are you going to pour, where are you going to store that data? >> Yeah. >> Okay, so again, all this is kind of moving into a whole 'nother generational shift and you're either on the wrong side of the street or the right side of the street. This is like really binary at this point. >> And it's accelerating, right? Folks probably had one or two transformations in the last 30 years and now they're running through a transformation every three years, it's like getting whiplash, right? >> Buckle up. Christian, thanks for coming on theCUBE. Great insights. >> Thanks again for having me. >> Great insights here on theCUBE. Bringing you all the action Boston for AWS re:Inforce, Amazon Web Service's inaugural event around security's key developers, the new security pros and engineers out there. CUBE coverage continues after this short break. (upbeat music)

(upbeat inspirational music) >> Hello everyone, I'm John Furrier in the Palo Alto Studios for Cube Conversation. I'm here with David Link who's the CEO of ScienceLogic. David, thanks for coming in. Good to see you. >> Great to be here, John. >> So, thanks for coming in. You came in from D.C., that's where your headquarters and ScienceLogic, you guys are having good business run right now. You're self-funded early on, now you get to venture back. Take a minute to explain how you guys got started, what does the company do? >> So, this is the classic story of entrepreneurship. We started in the garage. Myself and a couple of co-founders believed that IT management operations was broken and it was broken because a lot of the industry had really focused on having silos of data, the silos of data, the network, the application, the security, the storage, now cloud, containers and every technology had its own data silo of manageability. We believe that that was intrinsically wrong to understand how the service that combined all these different applications and technologies was behaving. We wanted a service view, so we brought it all together, kicked off, really the first seven years we boot strapped the company, the first year and a half we coded, got the product to market, it grew very quickly, got to the Inc. 500 a couple times, and then we attracted a lot of financing options. We had about 250 companies approach us. We never made one outbound call and fortunately, we had some really great and strong investors in EA, then Intel Capital, and three and a half years ago, our last round of financing was with Goldman Sachs and they've really been a great catalyst to help us continue our growth over the last five years. I think we've grown about 540% on the revenue side, so it's been an exciting time. >> Well congratulations. It's always a good success story to be a hot deal when you don't have to make any calls, they come to you. >> Yes. >> And that's good, that's part of growth, but I got to ask you what year did you start the company up? >> 2003. >> So, it's not obvious then, it's obvious to you as a visionary, but now people now know IT operations is broken. Cloud highlights it in a big way. The lights get turned on, the cockroaches are running around, but web services were still booming at that time. You start to see the beginning of the whole web services movement, you guys saw this early. Now, it's well recognized that IT operations can be automated away and Cloud certainly has an automations vibe to it. AI has been a big part of the AI operations. Is this kind of where you guys started with that vision? Was the original vision kind of where it is today? Take us through kind of what you saw and what's happening today. >> So, thematically we have this next wave of the computer architecture, Cloud computer architecture, edge computing where the way you manage that kind of infrastructure is different than the classic client server. There are different needs, different requirements, and that thematically has led with the change of infrastructure. Applications are changing and applications are now more infrastructure-aware. When we started the company, usually applications sat on one system or a cluster of systems and they weren't widely distributed. So now that the applications profile is changing, the architects are changing to microservices, that really puts huge strain on our industry. The industry, the total adjustable market, is about 25 billion dollars a year annual spent on tools. John, if you can imagine that. 25 billion a year is spent. It's going through an amazing, I would say, tectonic shift because why? Infrastructure's shifting and as more people move workloads to the Cloud into what I would call ephemeral workloads where they're moving around, that causes all kinds of pressure on the systems and record to manage that so that you understand what is happening at this moment in time. Where is it? What Cloud is it running on? How's the application performing? And you really need to tie the application to the infrastructure real-time. >> I want to get your thoughts on this. I interviewed a CIO this past week for a big company. I won't say the name 'cause we haven't published the video yet, but he told me candidly, he said that, look it, we outsourced everything and we outsourced our way into oblivion and what he meant by that was is that the core competency of IT, and he reference the book, Nick Carr, IT Doesn't Matter, which kind of was true, but wasn't true. Now, IT has a competitive advantage and essentially, they had this anemic IT department that was outsourced and they lost their competitive advantage, so he's like the reinvestment in IT is more than ever now because of Cloud, because of these new environments. So, I kind of believe that to be true. I'm sure you do too, but the reaction really is is you've got a lot of Legacy vendors that were dictating how to do things. >> Yes. >> I'm IBM, I'm Oracle, you got to do it this way and you were kind of constrained, IT was constrained by that. Now, you got to be much more agile, you have workloads that are dynamic, provisioning, orchestration, this is a whole new dynamic. What's the impact to the IT buyer, the IT environment with this new model, this new modern dynamic, new modern era? >> When you think about CIOs and CEOs, the pressure that they have to be Cloud first. Cloud first is such a strong... At the Board level, there's pressure. The adoption of Cloud now is happening faster and more rapidly than the adoption of virtualization, maybe it's doubling in the speed in the time warp, but what that means is that most CIOs are dealing with as many as nine to 11 Clouds, not one. You have a federation of Clouds: Private Clouds, public Clouds, software as a service Clouds, and that's your IT landscape, so it's changing so quickly that you have to think of it in a more federated approach. That means that the way you used to manage your private systems, and now your public systems, are really different and you've got to look at them more holistically because often they're communicating with one another in hybrid architectures. So, that's really the heart at our mission, to provide the context of how all the services you're trying to deliver as a CIO are behaving. What's their availability? What's the risk of the service having a problem? And knowing that real-time is ultimately what you want to do with your Cloud first strategy, but you need the right tooling operationally to affect that kind of outcome for your team. >> So, what's the core problem that you guys are solving? 'Cause obviously, there's a lot of complexity now, it's a new environment, so I still got the baggage of some Legacy environments. Is it monitoring you're solving? I guess, what's the core problem is my question that you guys are solving? If you had to kind of finish that, the core problem is blank. >> The core problem is visibility. The Holy Grail is application to infrastructure and the problem is that's becoming so complicated because everything is moving around. The more abstraction layers where it's a container, which is abstracted on top of a virtual machine, which is on top of bare-metal server. SD-WAN is an abstraction on top of an MPLS network. So, you have all of these layers that get from a software-defined perspective, they get abstracted away from the actual equipment that it's running on. Well, when that happens, where is the problem? Because it's moving around. The problem isn't in one place. So, that application to infrastructure awareness, it's almost like one of the things that we've looked at in the world of Facebook. You've got a lot of relationships, you've got videos, you've got friends, you've got all these different connections that are constantly moving around with data streams. What we do as a company is pull all these different data streams from the technologies themselves, from the Cloud providers, from the application layer, pull it together in a data hub that we can then understand how they all relate to one another so you can really, truly understand service impact and that is the crux of the problem most companies are dealing with now. You've got to fight with your Legacy, 'cause you still have that and it's not going away tomorrow, so you've got to make sure you're good at that, you've also got Cloud, the Cloud first initiative, and then you've got in between systems that are using both. That's really where we play. We're really good at the Legacy, we're good at Cloud, and connecting the two together and that is a really tough space because most Legacy providers really didn't get good with managing hyperactive ephemeral Cloud estates. The guys who started over the last five years building tools to manage the Cloud are really good at Cloud, but they don't cover Legacy. They're not going to cover a net app or hyper-converge, typically. So, we combine the both, Legacy and Cloud together in one management system, monitoring management paradigm, and then there's an automation engine where we actually proactively remediate problems real-time. So, the three together is where algorithmic operations, AI Ops, comes together. >> David, I want to dig into the offering, but before we get there, I want to get your thoughts on two trends: one is multi-Cloud. Recently, we've seen a lot of hybrid Cloud discussion, but now the big hubbub is multi-Cloud and the other one is AI Operations. So, I've been saying on The Cube, everyone who's in IT Operations is screwed, going to get automated away by AI. It's kind of tongue in cheek, but it's kind of a reality is that those old business models that were based upon certain service levels are going to be done in software. Now, you've got multi-Cloud. So, first question is what is multi-Cloud definition that you have for that? What does it mean? What is multi-Cloud? >> In our world, multi-Cloud is... Most large organizations use more than one Cloud and half of that is driven by what Cloud is best to operate a particular application profile? Amazon's really good at a lot of application profiles, but Azure might be better at certain Microsoft profiles, and then Google has profiles, and IBM Watson has profiles. Depending upon what you're trying to do with the application, where it was born, how it's living, how it's been re-factored, you're going to use one Cloud or the other, but most customers that we see have many Clouds. There really isn't one Cloud management scape when you're using... Vendors are still reasonably proprietary in the public hyper-scales. >> Some are better than others. >> And some are better. It depends on the use case. So, we try to bring all that together so that you're not looking at four panels, you're looking at one. >> So, you make it easy with one dash port. Okay, AI Operations. This is a hot trend, a lot of venture capitals are funding companies that have AI Ops in it, machine-learning obviously booming, no doubt software automation is coming. I'm seeing it everywhere. What does that mean? What is the definition of AI Operations? I mean, I'm bombastic at saying the industry sectors is going to crumble. I kind of think it will, but it will shift, but what is the impact to IT Operations with AI and what is AI Ops? >> We like to think of it as a life cycle. So, when you look at the life cycle of operations you have at the beginning of the life cycle, provisioning, so when we think about algorithmic, there's many different layers of automation: machine learning, cognitive learning, and you're going to use different parts of algorithmic operations for different parts of the life cycle. So at the very beginning, you're going to connect generally to a provisioning system so you know what's been provisioned or de-provisioned so we can automatically align a manageability template because nobody can be on a keyboard now, John. This has to be all machine to machine. So, once then it gets provisioned, then there's the run operate part and how do you learn from the normal operating conditions that you're looking for? The anomalies that you would look for to detect things aren't behaving appropriately? And then, once you understand those anomalies and the patterns, you can remediate them proactively, adding resources, decreasing resources, changing configurations, those are the things that kind of that last tier, and then that final tier, when there is a problem, if there is a problem, you've got to then raise a ticket, you've got to then work through the incident management of that ticket so there's another multi-step layers of automation to the incident management orchestration layer of solving problems, closing out a ticket. So, we have so many different layers across that life cycle that we plug into, most of which are native to our core platform. >> And your secret sauce is managing all the workloads that are moving around really fast, so to complicate that even further, you've got a lot of stuff moving around to track it all. I love what you said about not typing on the keyboard anymore, but essentially I'll translate that from what I heard was command line interface of CLIs has been the primary mechanism for dealing with either network and or storage, which is moving packets from here to there and moving storage from now to then, storing stuff. So, CLI is moving to a programmable model? This is the big takeaway. So, I totally think this is the mega trend. The command line interface mode of operation is moving to programmable, which hits your run and operate. >> Correct. >> This is the mega trend. Your thoughts? >> It is and that's one of the layers of complication because instead of a CLI, it's an API, and it's usually a restful API or a graph API. Those APIs are very different in construct and instead of talking to one device, that one device is virtualized into a hundred or a thousand and so with one API call, you actually create a thousand devices versus one device and understanding how one system is behaving, like a CLI would be to one system, right? So, that is a layer of complication where when we make an API call, we break it up into hundreds of things that then we track and understand the tenancy of what is a multi-tenant nature of that? What is the organization? What is the service view for all these little components that are part of one API call? And that abstraction layer makes it really difficult for the enterprise because the one thing about our API economy right now, there is no standard. Every vendor chooses their own formats for their products and in some cases, many formats for products in a product family. So, that layer of complexity, John, is what we're really solving for. The customer doesn't have to worry about that. We take care of that for them, but you're right, the API has become the CLI and it's just a level of complexity beyond what most enterprises are wanting to deal with themselves. That's why they bring us in to help. >> That is so important too that the data's in the API. >> That's right. >> That's key and Cloud's got orchestration challenges, state and state-less applications. All right, let's get into ScienceLogic's offering. So, what do you guys provide to customers? Talk about the product. How do you guys deliver it? Is it software, is it Cloud, is it service, is it appliance? Take us through the offering. What's the key secret sauce? How do people buy and use your product? >> So, our product's delivered as a service. You can use it in the Cloud. We deliver it as a service in our Cloud, but we also provide it if customers are using Amazon or IBM or Google or Microsoft. They can put our product, same code-base, same product, they subscribe to it, it's a subscription license model, so it's a pay-as-you-go and you pay for the number of devices that are under management. Typically, there are some customers, whether it's in the government, financial services, or international locations where they might want to deploy our product on premise, so we offer the same mode, either in the Cloud or on premise, but most customers now are choosing to deploy the product in the Cloud and that is a really easy... It's easy to get >> That's good for you guys. >> It's great for us because there's consistency of operations, we can keep everything up to date, and most customers want technology delivered as a service. They just want it to work. They want it to solve the business problem and do it easily, efficiently, even better, solve complex problems in an easy format. >> Give some customer examples or benefits or anecdotal stories around customers that have used your service that extracted benefits and value out of it, and second part of that question is when does someone know they need your product? What are the smoke signals? Is something breaking or is it just pain? When do they know to call you guys? So first one is customer examples or stories and then how does someone know who's watching this, hey I might need these guys? >> There are four segments that we cover. We have customers all over the world. There's enterprise customers. This is really a product for large enterprise, Fortune 1000 companies, so Clorox would be a customer, Hughes Satellite would be a customer, Cisco Systems out here in the valley is a customer, Dell, EMC, so it depends on what problem we're trying to solve for the customer. >> So large IT deployments basically? >> Very large, multinational, big networks, hundreds of thousands of devices, tens of thousands of devices is where those companies have immense complexity, lots of heterogeneous technology that comes together to deliver a service. They need a really robust solution to manage that proactively. So, enterprise customers, service providers, so a lot of managed service providers, infrastructure service providers, Telcos, they all use it, so I think we have about 60% of the infrastructure as a service providers use our product to deliver managed services to their customers and then the federal government all over the world, we have government customers around the world. I think right now about 70,000 organizations use our product every day and it's fairly evenly split, AMIA and AsiaPac, and then the US is our biggest market. >> You know, it's interesting you mention heterogeneous. I always kind of smile because you mentioned client server earlier. Every wave has their reflection point and I think what's going on with Cloud and I'd love to get your reaction is that Cloud, where it's winning, is it's a scale out, large scale, pool of resources. We look at what's going on with Amazon, all this, is that you don't need to know what service they have, just get more servers, so you're scaling out. >> Yes. >> But now, you need to have heterogeneous components. It's not just X-86. You could have a GPU, you have other stuff, AI going on, so heterogeneous is different now, but it's still the same came, it's still complex, it needs to be abstracted away. Is this kind of the key area that you're riding on? Is that right? What's your thoughts about that concept? >> Well to a large degree, John, the Cloud providers have really provided a layer for you to not have to worry about that, but we've seen customers actually with hyper-converged environments that they build in-house and or systems that they built because of geo-fencing in different countries that need the data kept in the country. There are requirements that drive people to build their own system, so the real thing that we're seeing a tremendous struggle with right now is that context, understanding what connects to what. All the different technologies that come together, all the heterogeneity that comes together to deliver a service, and whether you buy best in class technologies to solve one part of the stack, the landscape of whether it's your load balancer or a caching server or the database or the server, the network, all those different components, the security layer, those components that come together, often people have chosen specific technologies to solve those problems. The Cloud kind of abstracts that away with they hyper-scalers, but often you're putting infrastructure that you have on prem combined with infrastructure in the Cloud to deliver an aggregate solution so that multi-tiered architecture, just like back in the day, a three-tiered architecture, we're seeing those emerging again with public Cloud because you might want the data that actually generates the information on the web client's side to be in your data center, but you still have to understand how the service is behaving. So, we really look at all layers of the stack to solve the problem and that's really hard to do. >> Well David, great to have this conversation. Before we end, I want you to get a quick plug in for the company. How many employees, offices? What's the revenue like? What's your goals? You don't have to share the revenue if you don't want to, but if you want to, you can. Give a plug for the company. What's happening? >> Well, I'm really proud of what the team's done. We've got a great team of employees, about 370 employees today, full-time, they're spread all over the world, probably 80% are here in the Americas and the vision for the company, we think that this is a big opportunity. We are far from done. We really started the company to disrupt the industry 'cause the industry, as I said, was a silo industry and it really is, 20 years later, it's still that way. It's not really converged into a unified solution. We have great aspirations. Every year we've been growing the business 40, 50% a year for the last several years, and this year, we'll round over 100 million within the next 12 months of our run rate, so it's an exciting time for the company. >> Well, you've got a great model, SAS, in a massively growing and changing market, complex market, heterogeneous networks, apps are all being abstracted away and automation's driving this, so I think it's a perfect storm of innovation. Congratulations and thanks for chatting on The Cube here in Palo Alto. >> Love to be here, John. Thanks for having me. >> John Ferrier here, Cube Conversation, and we're here with David Link, CEO of ScienceLogic, and also the founder. Self-funded, big venture rounds, growing like a weed, based in D.C. This is the Cube Conversation. I'm John Furrier. Thanks for watching. (dramatic inspirational music)