>> Welcome everyone to "theCUBE's" coverage of "Compute engineered for your hybrid world," sponsored by HP and Intel. Today we're going to going to discuss how to transform your compute management experience with the new 4th Gen Intel Xeon scalable processors. Hello, I'm John Furrier, host of "theCUBE," and my guests today are Chinmay Ashok, director cloud engineering at Intel, and Koichiro Nakajima, principal product manager, compute at cloud services with HPE. Gentlemen, thanks for coming on this segment, "Transform your compute management experience." >> Thanks for having us. >> Great topic. A lot of people want to see that system management one pane of glass and want to manage everything. This is a really important topic and they started getting into distributed computing and cloud and hybrid. This is a major discussion point. What are some of the major trends you guys see in the system management space? >> Yeah, so system management is trying to help user manage their IT infrastructure effectively and efficiently. So, the system management is evolving along with the IT infrastructures which is trying to accommodate market trends. We have been observing the continuous trends like digital transformation, edge computing, and exponential data growth never stops. AI, machine learning, deep learning, cloud native applications, hybrid cloud, multi-cloud strategies. There's a lot of things going on. Also, COVID-19 pandemic has changed the way we live and work. These are all the things that, given a profound implication to the system design architectures that system management has to consider. Also, security has always been the very important topic, but it has become more important than ever before. Some of the research is saying that the cyber criminals becoming like a $10.5 trillion per year. We all do our efforts on the solution provider size and on the user side, but still cyber criminals are growing 15% year by year. So, with all this kind of thing in the mind, system management really have to evolve in a way to help user efficiently and effectively manage their more and more distributed IT infrastructure. >> Chinmay, what's your thoughts on the major trends in system management space? >> Thanks, John, Yeah, to add to what Koichiro said, I think especially with the view of the system or the service provider, as he was saying, is changing, is evolving over the last few years, especially with the advent of the cloud and the different types of cloud usage models like platform as a service, on-premises, of course, infrastructure is a service, but the traditional software as a service implies that the service provider needs a different view of the system and the context in which we need the CPU vendor, or the platform vendor needs to provide that, is changing. That includes both in-band telemetry being able to monitor what is going on on the system through traditional in-band methods, but also the advent of the out-of-band methods to do this without end user disruption is a key element to the enhancements that our customers are expecting from us as we deploy CPUs and platforms. >> That's great. You know what I love about this discussion is we had multiple generation enhancements, 4th Gen Xeon, 11th Gen ProLiant, iLOs going to come up with got another generation increase on that one. We'll get into that on the next segment, but while we're here, what is iLO? Can you guys define what that is and why it's important? >> Yeah, great question. Real quick, so HPE Integrated Lights-Out is the formal name of the product and we tend to call it as a iLO for short. iLO is HPE'S BMC. If you're familiar with this topic it's a Baseboard Management Controller. If not, this is a small computer on the server mother board and it runs independently from host CPU and the operating system. So, that's why it's named as Lights-Out. Now what can you do with the iLO? iLO really helps a user manage and use and monitor the server remotely, securely, throughout its life from the deployment to the retirement. So, you can really do things like, you know, turning a server power on, off, install operating system, access to IT, firmware update, and when you decide to retire server, you can completely wipe the data off that server so then it's ready to trash. iLO is really a best solution to manage a single server, but when you try to manage hundreds or thousand of servers in a larger scale environment, then managing server one by one by one through the iLO is not practical. So, HPE has two options. One of them is a HPE OneView. OneView is a best solution to manage a very complex, on-prem IT infrastructure that involves a thousand of servers as well as the other IT elements like fiber channel storage through the storage agent network and so on. Another option that we have is HPE for GreenLake Compute Ops Management. This is our latest, greatest product that we recently launched and this is a best solution to manage a distributed IT environment with multiple edge points or multiple clouds. And I recently involved in the customer conversation about the computer office management and with the hotel chain, global hotel chain with 9,000 locations worldwide and each of the location only have like a couple of servers to manage, but combined it's, you know, 27,000 servers and over the 9,000 locations, we didn't really have a great answer for that kind of environment before, but now HPE has GreenLake for computer office management for also deal with, you know, such kind of environment. >> Awesome. We're going to do a big dive on iLO in the next segment, but Chinmay, before we end this segment, what is PMT? >> Sure, so yeah, with the introduction of the 4th Gen Intel Xeon scalable processor, we of course introduce many new technologies like PCI Gen 5, DDR5, et cetera. And these are very key to general system provision, if you will. But with all of these new technologies come new sources of telemetry that the service provider now has to manage, right? So, the PMT is a technology called Platform Monitoring Technology. That is a capability that we introduced with the Intel 4th Gen Xeon scalable processor that allows the service provider to monitor all of these sources of telemetry within the system, within the system on chip, the CPU SOC, in all of these contexts that we talked about, like the hybrid cloud and cloud infrastructure as a service or platform as a service, but both in their in-band traditional telemetry collection models, but also out-of-band collection models such as the ones that Koichiro was talking about through the BMC et cetera. So, this is a key enhancement that we believe that takes the Intel product line closer to what the service providers require for managing their end user experience. >> Awesome, well thanks so much for spending the time in this segment. We're going to take a quick break, we're going to come back and we're going to discuss more what's new with Gen 11 and iLO 6. You're watching "theCUBE," the leader in high tech enterprise coverage. We'll be right back. (light music) Welcome back. We're continuing the coverage of "theCUBE's" coverage of compute engineered for your hybrid world. I'm John Furrier, I'm joined by Chinmay Ashok who's from Intel and Koichiro Nakajima with HPE. We're going to dive deeper into transforming your compute management experience with 4th Gen Intel Xeon scalable processors and HP ProLiant Gen11. Okay, let's get into it. We want to talk about Gen11. What's new with Gen11? What's new with iLO 6? So, NexGen increases in performance capabilities. What's new, what's new at Gen11 and iLO 6 let's go. >> Yeah, iLO 6 accommodates a lot of new features and the latest, greatest technology advancements like a new generation CPUs, DDR5 memories, PCI Gen 5, GPGPUs, SmartNICs. There's a lot of great feature functions. So, it's an iLO, make sure that supports all the use cases that associate with those latest, greatest advancements. For instance, like you know, some of the higher thermal design point CPU SKUs that requires a liquid cooling. We all support those kind of things. And also iLO6 accommodates latest, greatest industry standard system management, standard specifications, for instance, like an DMTF, TLDN, DMTF, RDE, SPDM. And what are these means for the iLO6 and Gen11? iLO6 really offers the greatest manageability and monitoring user experiences as well as the greatest automation through the refresh APIs. >> Chinmay, what's your thoughts on the Gen11 and iLO6? You're at Intel, you're enabling all this innovation. >> Yeah. >> What's the new features? >> Yeah, thanks John. Yeah, so yeah, to add to what Koichiro said, I think with the introduction of Gen11, 4th Gen Intel Xeon scalable processor, we have all of these rich new feature sets, right? With the DDR5, PCI Gen5, liquid cooling, et cetera. And then all of these new accelerators for various specific workloads that customers can use using this processor. So, as we were discussing previously, what this brings is all of these different sources of telemetry, right? So, our sources of data that the system provider or the service provider then needs to utilize to manage the compute experience for their end user. And so, what's new from that perspective is Intel realized that these new different sources of telemetry and the new mechanisms by which the service provider has to extract this telemetry required us to fundamentally think about how we provide the telemetry experience to the service provider. And that meant extending our existing best-in-class, in-band telemetry capabilities that we have today already built into in market Intel processors. But now, extending that with the introduction of the PMT, the Platform Monitoring Technology, that allows us to expand on that in-band telemetry, but also include all of these new sources of telemetry data through all of these new accelerators through the new features like PCI Gen5, DDR5, et cetera, but also bring in that out-of-band telemetry management experience. And so, I think that's a key innovation here, helping prepare for the world that the cloud is enabling. >> It's interesting, you know, Koichiro you had mentioned on the previous segment, COVID-19, we all know the impact of how that changed, how IT at the managed, you know, all of a sudden remote work, right? So, as you have cloud go to hybrid, now we got the edge coming, we're talking about a distributed computing environment, we got telemetry, you got management. This is a huge shift and it's happening super fast. What's the Gen11 iLO6 mean for architects as they start to look at going beyond hybrid and going to the edge, you're going to need all this telemetry. What's the impact? Can you guys just riff and share your thoughts on what this means for that kind of NexGen cloud that we see coming on on which is essentially distributed computing. >> Yeah, that's a great topic to discuss. So, there's a couple of the things. Really, to make sure those remote environment and also the management distributed IT environments, the system management has to reach across the remote location, across the internet connections, and the connectivities. So, the system management protocol, for instance, like traditionally IPMI or SNMP, or those things, got to be modernized into more restful API and those modern integration friendly to the modern tool chains. So, we're investing on those like refresh APIs and also again, the security becomes paramount importance because those are exposed to the bad people to snoop and trying to do some bad thing like men in a middle attacks, things like that. So we really, you know, focus on the security side on the two aspects on the iLO6 and Gen11. One other thing is we continue our industry unique silicon root of trust technology. So, that one is fortunate platform making sure the platform firmware, only the authentic and legitimate image of the firmware can run on HP server. And when you check in, validating the firmware images, the root of the trust reside in the silicon. So, no one can change it. Even the bad people trying to change the root of trust, it's bond in the chips so you cannot really change. And that's why, even bad people trying to compromise, you know, install compromise the firmware image on the HPE servers, you cannot do that. Another thing is we're making a lot of enhancements to make sure security on board our HP server into your network or onto a services like a GreenLake. Give you a couple of example, for instance, like a IDevID, Initial Device ID. That one is conforming to IEEE 802.1AR and it's immutable so no one can change it. And by using the IDevID, you can really identify you are not onboarding a rogue server or unknown server, but the server that you you want to onboard, right? It's absolutely important. Another thing is like platform certificate. Platform certificate really is the measurement of the configuration. So again, this is a great feature that makes sure you receive a server from the factory and no one during the transportation touch the server and alter the configuration. >> Chinmay, what's your reaction to this new distributed NextGen cloud? You got data, security, edge, move the compute to the data, don't move the data around. These are big conversations. >> Yeah, great question, John. I think this is an important thing to consider for the end user, the service provider in all of these contexts, right? I think Koichiro mentioned some of these key elements that go into as we develop and design these new products. But for example, from a security perspective, we introduce the trust domain extensions, TDX feature, for confidential computing in Intel 4th Generation Xeon scalable processors. And that enables the isolation of user workloads in these cloud environments, et cetera. But again, going back to the point Koichiro was making where if you go to the edge, you go to the cloud and then have the edge connect to the cloud you have independent networks for system management, independent networks for user data, et cetera. So, you need the ability to create that isolation. All of this telemetry data that needs to be isolated from the user, but used by the service provider to provide the best experience. All of these are built on the foundations of technologies such as TDX, PMT, iLO6, et cetera. >> Great stuff, gentlemen. Well, we have a lot more to discuss on our next segment. We're going to take a break here before wrapping up. We'll be right back with more. You're watching "theCUBE," the leader in high tech coverage. (light music) Okay, welcome back here, on "theCUBE's" coverage of "Compute engineered for your hybrid world." I'm John Furrier, host of the Cube. We're wrapping up our discussion here on transforming compute management experience with 4th Gen Intel Xeon scalable processors and obviously HPE ProLiant Gen11. Gentlemen, welcome back. Let's get into the takeaways for this discussion. Obviously, systems management has been around for a while, but transforming that experience on the management side is super important as the environment just radically changing for the better. What are some of the key takeaways for the audience watching here that they should put into their kind of tickler file and/or put on their to-do list to keep an eye on? >> Yeah, so Gen11 and iLO6 offers the latest, greatest technologies with new generation CPUs, DDR5, PCI Gen5, and so on and on. There's a lot of things in there and also iLO6 is the most mature version of iLO and it offers the best manageability and security. On top of iLO, HP offers the best of read management options like HP OneView and Compute Ops Management. It's really a lot of the things that help user achieve a lot of the things regardless of the use case like edge computing, or distributed IT, or hybrid strategy and so on and on. And you could also have a great system management that you can unleash all the full potential of latest, greatest technology. >> Chinmay, what's your thoughts on the key takeaways? Obviously as the world's changing, more gen chips are coming out, specialized workloads, performance. I mean, I've never met anyone that says they want to run on slower infrastructure. I mean, come on, performance matters. >> Yes, no, it definitely, I think one of the key things I would say is yes, with Gen11 Intel for gen scalable we're introducing all of these technologies, but I think one of the key things that has grown over the last few years is the view of the system provider, the abstraction that's needed, right? Like the end user today is migrating a lot of what they're traditionally used to from a physical compute perspective to the cloud. Everything goes to the cloud and when that happens there's a lot of just the experience that the end user sees, but everything underneath is abstracted away and then managed by the system provider, right? So we at Intel, and of course, our partners at HP, we have spent a lot of time figuring out what are the best sets of features that provide that best system management experience that allow for that abstraction to work seamlessly without the end user noticing? And I think from that perspective, the 4th Gen Intel Xeon scalable processors is so far the best Intel product that we have introduced that is prepared for that type of abstraction. >> So, I'm going to put my customer hat on for a second. I'll ask you both. What's in it for me? I'm the customer. What's in it for me? What's the benefit to me? What does this all mean to me? What's my win? >> Yeah, I can start there. I think the key thing here is that when we create capabilities that allow you to build the best cloud, at the end of the day that efficiency, that performance, all of that translates to a better experience for the consumer, right? So, as the service provider is able to have all of these myriad capabilities to use and choose from and then manage the system experience, what that implies is that the end user sees a seamless experience as they go from one application to another as they go about their daily lives. >> Koichiro, what's your thoughts on what's in it for me? You guys got a lot of engineering going on in Gen11, every gen increase always is a step function and increase of value. What's in it for me? What do I care? What's in it for me? I'm the customer. >> Alright. Yeah, so I fully agree with Chinmay's point. You know, he lays out the all the good points, right? Again, you know what the Gen11 and iLO6 offer all the latest, greatest features and all the technology and advancements are packed in the Gen11 platform and iLO6 unleash all full potentials for those benefits. And things are really dynamic in today's world and IT system also going to be agile and the system management get really far, to the point like we never imagine what the system management can do in the past. For instance, the managing on-prem devices across multiple locations from a single point, like a single pane of glass on the cloud management system, management on the cloud, that's what really the compute office management that HP offers. It's all new and it's really help customers unleash full potential of the gear and their investment and provide the best TCO and ROIs, right? I'm very excited that all the things that all the teams have worked for the multiple years have finally come to their life and to the public. And I can't really wait to see our customers start putting their hands on and enjoy the benefit of the latest, greatest offerings. >> Yeah, 4th Gen Xeon, Gen11 ProLiant, I mean, all the things coming together, accelerators, more cores. You got data, you got compute, and you got now this idea of security, I mean, you got hitting all the points, data and security big features here, right? Data being computed in a way with Gen4 and Gen11. This is like the big theme, data security, kind of the the big part of the core here in this announcement, in this relationship. >> Absolutely. I believe, I think the key things as these new generations of processors enable is new types of compute which imply is more types of data, more types of and hence, with more types of data, more types of compute. You have more types of system management more differentiation that the service provider has to then deal with, the disaggregation that they have to deal with. So yes, absolutely this is, I think exciting times for end users, but also for new frontiers for service providers to go tackle. And we believe that the features that we're introducing with this CPU and this platform will enable them to do so. >> Well Chinmay thank you so much for sharing your Intel perspective, Koichiro with HPE. Congratulations on all that hard work and engineering coming together. Bearing fruit, as you said, Koichiro, this is an exciting time. And again, keep moving the needle. This is an important inflection point in the industry and now more than ever this compute is needed and this kind of specialization's all awesome. So, congratulations and participating in the "Transforming your compute management experience" segment. >> Thank you very much. >> Okay. I'm John Furrier with "theCUBE." You're watching the "Compute Engineered for your Hybrid World Series" sponsored by HP and Intel. Thanks for watching. (light music)

>>Hello and welcome back to the Cube's coverage of AWS Reinvent 2022. I'm John Furrier, host of the Cube. We got a great conversation with Patrick Kauflin, vice president of Go to Market Strategy and specialization at Splunk. We're talking about the open cybersecurity scheme of framework, also known as the O C sf, a joint strategic collaboration between Splunk and aws. It's got a lot of traction momentum. Patrick, thanks for coming on the cube for reinvent coverage. >>John, great to be here. I'm excited for this. >>You know, I love this open source movement and open source and continues to add value, almost sets the standards. You know, we were talking at the CNCF Linux Foundation this past fall about how standards are coming outta open source. Not so much the the classic standards groups, but you start to see the developers voting with their code groups deciding what to adopt de facto standards and security is a real key part of that where data becomes key for resilience. And this has been the top conversation at reinvent and all around the industry, is how to make data a key part of building into cyber resilience. So I wanna get your thoughts about the problem that you see that's emerging that you guys are solving with this group kind of collaboration around the ocs f >>Yeah, well look, John, I I think, I think you, you've already, you've already hit the high notes there. Data is proliferating across the enterprise. The attack surface area is rapidly expanding. The threat landscape is ever changing. You know, we, we just had a, a lot of scares around open SSL before that we had vulnerabilities and, and Confluence and Atlassian, and you go back to log four J and SolarWinds before that and, and challenges with the supply chain. In this year in particular, we've had a, a huge acceleration in, in concerns and threat vectors around operational technology. In our customer base alone, we saw a huge uptake, you know, and double digit percentage of customers that we're concerned about the traditional vectors like, like ransomware, like business email compromise, phishing, but also from insider threat and others. So you've got this, this highly complex environment where data continues to proliferate and flow through new applications, new infrastructure, new services, driving different types of outcomes in the digitally transformed enterprise of today. >>And, and what happens there is, is our customers, particularly in security, are, are left with having to stitch all of this together. And they're trying to get visibility across multiple different services, infrastructure applications across a number of different point solutions that they've bought to help them protect, defend, detect, and respond better. And it's a massive challenge. And you know, when our, when our customers come to us, they are often looking for ways to drive more consolidation across a variety of different solutions. They're looking to drive better outcomes in terms of speed to detection. How do I detect faster? How do I bind the thing that when bang in the night faster? How do I then fix it quickly? And then how do I layer in some automation so hopefully I don't have to do it again? Now, the challenge there that really OCF Ocsf helps to, to solve is to do that effectively, to detect and to respond at the speed at which attackers are demanding. >>Today we have to have normalization of data across this entire landscape of tools, infrastructure, services. We have to have integration to have visibility, and these tools have to work together. But the biggest barrier to that is often data is stored in different structures and in different formats across different solution providers, across different tools that are, that are, that our customers are using. And that that lack of data, normalization, chokes the integration problem. And so, you know, several years ago, a number of very smart people, and this was, this was a initiative s started by Splunk and AWS came together and said, look, we as an industry have to solve this for our customers. We have to start to shoulder this burden for our customers. We can't, we can't make our customers have to be systems integrators. That's not their job. Our job is to help make this easier for them. And so OCS was born and over the last couple of years we've built out this, this collaboration to not just be AWS and Splunk, but over 50 different organizations, cloud service providers, solution providers in the cybersecurity space have come together and said, let's decide on a single unified schema for how we're gonna represent event data in this industry. And I'm very proud to be here today to say that we've launched it and, and I can't wait to see where we go next. >>Yeah, I mean, this is really compelling. I mean, it's so much packed in that, in that statement, I mean, data normalization, you mentioned chokes, this the, the solution and integration as you call it. But really also it's like data's not just stored in silos. It may not even be available, right? So if you don't have availability of data, that's an important point. Number two, you mentioned supply chain, there's physical supply chain that's coming up big time at reinvent this time as well as in open source, the software supply chain. So you now have the perimeter's been dead for multiple years. We've been talking with that for years, everybody knows that. But now combined with the supply chain problem, both physical and software, there's so much more to go on. And so, you know, the leaders in the industry, they're not sitting on their hands. They know this, but they're just overloaded. So, so how do leaders deal with this right now before we get into the ocs f I wanna just get your thoughts on what's the psychology of the, of the business leader who's facing this landscape? >>Yeah, well, I mean unfortunately too many leaders feel like they have to face these trade offs between, you know, how and where they are really focusing cyber resilience investments in the business. And, and often there is a siloed approach across security, IT developer operations or engineering rather than the ability to kind of drive visibility integration and, and connection of outcomes across those different functions. I mean, the truth is the telemetry that, that you get from an application for application performance monitoring or infrastructure monitoring is often incredibly valuable when there's a security incident and vice versa. Some of the security data that, that you may see in a security operation center can be incredibly valuable in trying to investigate a, a performance degradation in an application and understanding where that may come from. And so what we're seeing is this data layer is collapsing faster than the org charts are or the budget line items are in the enterprise. And so at Splunk here, you know, we believe security resilience is, is fundamentally a data problem. And one of the things that we do often is, is actually help connect the dots for our customers and bring our customers together across the silos they may have internally so that they can start to see a holistic picture of what resilience means for their enterprise and how they can drive faster detection outcomes and more automation coverage. >>You know, we recently had an event called Super Cloud, we're going into the next gen kind of a cloud, how data and security are all kind of part of this NextGen application. It's not just us. And we had a panel that was titled The Innovators Dilemma, kind of talk about you some of the challenges. And one of the panelists said, it's not the innovator's dilemma, it's the integrator's dilemma. And you mentioned that earlier, and I think this a key point right now into integration is so critical, not having the data and putting pieces together now open source is becoming a composability market. And I think having things snap together and work well, it's a platform system conversation, not a tool conversation. So I really wanna get into where the OCS f kind of intersects with this area people are working on. It's not just solution architects or cloud cloud native SREs, especially where DevSecOps is. So this that's right, this intersection is critical. How does Ocsf integrate into that integration of the data making that available to make machine learning and automation smarter and more relevant? >>Right, right. Well look, I mean, I I think that's a fantastic question because, you know, we talk about, we use Bud buzzwords like machine learning and, and AI all the time. And you know, I know they're all over the place here at Reinvent and, and the, there's so much promise and hope out there around these technologies and these innovations. However, machine learning AI is only as effective as the data is clean and normalized. And, and we will not realize the promise of these technologies for outcomes in resilience unless we have better ways to normalize data upstream and better ways to integrate that data to the downstream tools where detection and response is happening. And so Ocsf was really about the industry coming together and saying, this is no longer the job of our customers. We are going to create a unified schema that represents the, an event that we will all bite down on. >>Even some of us are competitors, you know, this is, this is that, that no longer matters because at the point, the point is how do we take this burden off of our customers and how do we make the industry safer together? And so 15 initial members came together along with AWS and Splunk to, to start to create that, that initial schema and standardize it. And if you've ever, you know, if you've ever worked with a bunch of technical grumpy security people, it's kind of hard to drive consensus about around just about anything. But, but I, I'm really happy to see how quickly this, this organization has come together, has open sourced the schema, and, and, and just as you said, like I think this, this unlocks the potential for real innovation that's gonna be required to keep up with the bad guys. But right now is getting stymied and held back by the lack of normalization and the lack of integration. >>I've always said Splunk was a, it eats data for breakfast, lunch, and dinner and turns it into insights. And I think you bring up the silo thing. What's interesting is the cross company sharing, I think this hits point on, so I see this as a valuable opportunity for the industry. What's the traction on that? Because, you know, to succeed it does take a village, it takes a community of security practitioners and, and, and architects and developers to kind of coalesce around this defacto movement has been, has been the uptake been good? How's traction? Can you share your thoughts on how this is translating across companies? >>Yeah, absolutely. I mean, look, I, I think cybersecurity has a, has a long track record of, of, of standards development. There's been some fantastic standards recently. Things like sticks and taxi for threat intelligence. There's been things like the, you know, the Mir attack framework coming outta mi mir and, and, and the adoption, the traction that we've seen with Attack in particular has been amazing to, to watch how that has kind of roared onto the scene in the last couple of years and has become table stakes for how you do security operations and incident response. And, you know, I think with ocs f we're gonna see something similar here, but, you know, we are in literally the first innings of, of this. So right now, you know, we're architecting this into our, into every part of our sort of backend systems here at Polan. I know our our collaborators at AWS and elsewhere are doing it too. >>And so I think it starts with bringing this standard now that the standard exists on a, you know, in schema format and there, there's, you know, confluence and Jira tickets around it, how do we then sort of build this into the code of, of the, the collaborators that have been leading the way on this? And you know, it's not gonna happen overnight, but I think in the coming quarters you'll start to see this schema be the standard across the leaders in this space. Companies like Splunk and AWS and others who are leading the way. And often that's what helps drive adoption of a standard is if you can get the, the big dogs, so to speak, to, to, to embrace it. And, and, you know, there's no bigger one than aws and I think there's no, no more important one than Splunk in the cybersecurity space. And so as we adopt this, we hope others will follow. And, and like I said, we've got over 50 organizations contributing to it today. And so I think we're off to a running >>Start. You know, it's interesting, choking innovation or having things kind of get, get slowed down has really been a problem. We've seen successes recently over the past few years. Like Kubernetes has really unlocked and accelerated the cloud native worlds of runtime with containers to, to kind of have the consensus of the community to say, Hey, if we just do this, it gets better. I think this is really compelling with the o the ocs F because if people can come together around this and get unified as well as all the other official standards, things can go highly accelerated. So I think, I think it looks really good and I think it's great initiative and I really appreciate your insight on that, on, on your relationship with Amazon. Okay. It's not just a partnership, it's a strategic collaboration. Could you share that relationship dynamic, how to start, how's it going, what's strategic about it? Share to the audience kind of the relationship between Splunk and a on this important OCS ocsf initiative. >>Look, I, I mean I think this, this year marks the, the 10th year anniversary that, that Splunk and AWS have been collaborating in a variety of different ways. I, I think our, our companies have a fantastic and, and long standing relationship and we've, we've partnered on a number of really important projects together that bring value obviously to our individual companies, but also to our shared customers. When I think about some of the most important customers at Splunk that I spend a significant amount of time with, I I I know how many of those are, are AWS customers as well, and I know how important AWS is to them. So I think it's, it's a, it's a collaboration that is rooted in, in a respect for each other's technologies and innovation, but also in a recognition that, that our shared customers want to see us work better together over time. And it's not, it's not two companies that have kind of decided in a back room that they should work together. It's actually our customers that are, that are pushing us. And I think we're, we're both very customer centric organizations and I think that has helped us actually be better collaborators and better partners together because we're, we're working back backwards from our customers >>As security becomes a physical and software approach. We've seen the trend where even Steven Schmidt at Amazon Web Services is, is the cso, he is not the CSO anymore. So, and I asked him why, he says, well, security's also physical stuff too. So, so he's that's right. Whole lens is now expanded. You mentioned supply chain, physical, digital, this is an important inflection point. Can you summarize in your mind why open cybersecurity schema for is important? I know the unification, but beyond that, what, why is this so important? Why should people pay attention to this? >>You know, I, if, if you'll let me be just a little abstract in meta for a second. I think what's, what's really meaningful at the highest level about the O C S F initiative, and that goes beyond, I think, the tactical value it will provide to, to organizations and to customers in terms of making them safer over the coming years and, and decades. I think what's more important than that is it's really the, one of the first times that you've seen the industry come together and say, we got a problem. We need to solve. That, you know, doesn't really have anything to do with, with our own economics. Our customers are, are hurt. And yeah, some of us may be competitors, you know, we got different cloud service providers that are participating in this along with aws. We got different cybersecurity solution providers participating in this along with Splunk. >>But, but folks who've come together and say, we can actually solve this problem if, if we're able to kind of put aside our competitive differences in the markets and approach this from the perspective of what's best for information security as a whole. And, and I think that's what I'm most proud of and, and what I hope we can do more of in other places in this industry, because I think that kind of collaboration from real market leaders can actually change markets. It can change the, the, the trend lines in terms of how we are keeping up with the bad guys. And, and I'd like to see a lot more of >>That. And we're seeing a lot more new kind of things emerging in the cloud next kind of this next generation architecture and outcomes are happening. I think it's interesting, you know, we always talk about sustainability, supply chain sustainability about making the earth a better place. But you're hitting on this, this meta point about businesses are under threat of going under. I mean, we want to keep businesses to businesses to be sustainable, not just, you know, the, the environment. So if a business goes outta business business, which they, their threats here are, can be catastrophic for companies. I mean, there is, there is a community responsibility to protect businesses so they can sustain and and stay Yeah. Stay producing. This is a real key point. >>Yeah. Yeah. I mean, look, I think, I think one of the things that, you know, we, we, we complain a lot of in, in cyber security about the lack of, of talent, the talent shortage in cyber security. And every year we kinda, we kind of whack ourselves over the head about how hard it is to bring people into this industry. And it's true. But one of the things that I think we forget, John, is, is how important mission is to so many people in what they do for a living and how they work. And I think one of the things that cybersecurity is strongest in information Security General and has been for decades is this sense of mission and people work in this industry be not because it's, it's, it's always the, the, the most lucrative, but because it, it really drives a sense of safety and security in the enterprises and the fabric of the economy that we use every day to go through our lives. And when I think about the spun customers and AWS customers, I think about the, the different products and tools that power my life and, and we need to secure them. And, and sometimes that means coming to work every day at that company and, and doing your job. And sometimes that means working with others better, faster, and stronger to help drive that level of, of, of maturity and security that this industry >>Needs. It's a human, is a human opportunity, human problem and, and challenge. That's a whole nother segment. The role of the talent and the human machines and with scale. Patrick, thanks so much for sharing the information and the insight on the Open cybersecurity schema frame and what it means and why it's important. Thanks for sharing on the Cube, really appreciate it. >>Thanks for having me, John. >>Okay, this is AWS Reinvent 2022 coverage here on the Cube. I'm John Furry, you're the host. Thanks for watching.

(upbeat music) >> Good afternoon, everyone. Welcome back to theCUBE's live coverage of Snowflake Summit 22, the fourth annual Snowflake Summit. Lisa Martin here with Dave Vellante, We're live in Vegas, as I mentioned. We've got a couple of guests here with us. We're going to be unpacking some more great information that has come out of the show news today. Please welcome Chris Child back to theCUBE, Senior Director of Product Management at Snowflake, and Lisa Cramer is here, Head of Embedded Products at LiveRamp, guys welcome. >> Thank you. >> Hi. >> Tell us a little bit about LiveRamp, what you guys do, what your differentiators are and a little bit about the Snowflake partnership? >> Sure, well, LiveRamp makes it safe and easy to connect data. And we're powered by core identity resolution capabilities, which enable our clients to resolve their data, and connect it with other data sets. And so we've brought these identity infrastructure capabilities to Snowflake, and built into the Native Application Framework. We focused on two initial products around device resolution, which enables our clients to connect customer data from the digital ecosystem. This powers things like, measurement use cases, and understanding campaign effectiveness and ROI. And the second capability we built into the Native Application Framework is called transcoding. And this enables a translation layer between identifiers, so that parties can safely and effectively share data at a person-based view. >> Chris, talk to us about, Snowflake just announced a lot of news this morning, just announced, the new Snowflake Native Application Framework. You alluded to this, Lisa, talk to us about that. What does it mean for customers, what does it do? Give us all the backstory. >> Yeah, so we had seen a bunch of cases for our customers where they wanted to be able to take application logic, and have other people use it. So LiveRamp, as an example of that, they've built a bunch of complicated logic to help you figure out who is the same person in different systems. But the problem was always that, that application had to run outside of the Data Cloud. And that required you to take your data outside of Snowflake, entrust your data to a third party. And so every time that companies have to go, become a vendor, they have to go through a security review, and go through a long onerous process, to be able to be allowed to process the really sensitive data that these customers have. So with the Native Applications Framework, you can take your application code, all of the logic, and the data that's needed to build it together, and actually push that through secure data sharing into a customer's account, where it runs, and is able to access their data, join it with data from the provider, all without actually having to give that provider access to your core data assets themselves. >> Is it proper to think of the Native Application Framework as a PaaS layer within the Data Cloud? >> That's a great way to think about it. And so, this is where we've integrated with the marketplace as well. So providers like LiveRamp will be able to publish these applications. They'll run entirely on effectively a PaaS layer that's powered by Snowflake, and be able to deliver those to any region, any cloud, any place that Snowflake runs. >> So, we get a lot of grief for this term, but we've coined a term called "supercloud". Okay, and the supercloud is an abstraction layer that hovers above the hyperscale infrastructure. Companies like yours, build on top of that. So you don't have to worry about the underlying complexities. And we've said that, in order to make that a reality, you have to have a super PaaS. So is that essentially what you're doing? You're building your product on top of that? You're not worrying about, okay, now I'm going to go to Azure, I'm going to go to AWS, or I'm going to go to, wherever, is that a right way to think about it? >> That's exactly right. And I think, Snowflake has really helped us, kind of shift the paradigm in how we work with our customers, and enabled us to bring our capabilities to where their data lives, right? And enabled them to, kind of run the analytics, and run the identity resolution where their data sits. And so that's really exciting. And I think, specifically with the Native Application Framework, Snowflake delivered on the promise of minimizing data movement, right? The application is installed. You don't have to move your data at all. And so for us, that was a really compelling reason to build into it. And we love when our customers can maintain control of their data. >> So the difference between what you are doing as partners, and a SaaS, is that, you're not worrying about all the capabilities, there in the data, all the governance, and the security components. You're relying on the Data Cloud for that, is that right? Or is it a SaaS? >> Yeah, I think there's components, like certainly parts of our business still run in the SaaS model. But I think the ability to rely on some of the infrastructure that Snowflake provides, and honestly kind of the connectivity, and the verticalized solutions that Snowflake brings to bear with data providers, and technology providers, that matter most to that vertical, really enable us to kind of rely on some of that to ensure that we can serve our customers as they want us to. >> So you're extending your SaaS platform and bringing new capabilities, as opposed to building, or are you building new apps in the Data Cloud? This is, I'm sorry to be so pedantic, but I'm trying to understand from your perspective. >> Oh yeah, so we built new capabilities within the Data Cloud. It's based on our core identity infrastructure capabilities, but we wanted to build into the Native Application Framework, so that data doesn't have to move and we can serve our customers, and they can maintain control over their data in their environment. So we built new capabilities, but it's all based on our core identity infrastructure. >> So safe sharing reminds me of like when procurement says, do we have an MSA? Yes, okay, go. You know, it's just frictionless. Versus no, okay, send some paper, go back and forth and it just takes forever. >> That's one of the big goals that we see. And to your point on, is it a PaaS, is it a SaaS? We honestly think of it as something a little bit different, in a similar way to where, at Snowflake we saw a whole generation of SaaS business models, and as a utility, and a consumption-based model, we think of ourselves as different from a SaaS business model. We're now trying to enable application providers, like LiveRamp, to take the core technology in IP that they've built over many, many years, but deliver it in a completely new different way that wasn't possible. And so part of this is extending what they're doing, and making it a little easier to deploy, and not having to go through the MSA process in the same way. But also we do think that this will allow entirely new capabilities to be brought that wouldn't be possible, unless they could be deployed and run inside the Data Cloud. >> Is LiveRamp a consumption pricing model, or is it a subscription, or a combo? >> We are actually a subscription, but with some usage capabilities. >> It's an hybrid. >> Chris, talk a little bit about the framework that you guys have both discussed. How is it part of the overall Snowflake vision of delivering secure and governed, powerful analytics, and data sharing to customers, and ecosystem partners? >> So this, for us we view this as kind of the next evolution of Snowflake. So Snowflake was all built on helping people consolidate their data, bring all your data into one place and then run all of your different workloads on it. And what we've seen over the years is, there are still a lot of different use cases, where you need to take your data out of the Data Cloud, in order to do certain different things. So we made a bunch of announcements today around machine learning, so that you don't have to take your data out to train models. And native applications is built on the idea of don't bring your data to the applications you need. Whether they're machine learning models, whether they're identity resolution, whether they're really even just analytics. Instead, take the application logic and bring that into the Data Cloud, and run it right on your data where it is. And so the big benefit of that is, I don't need copies of my data that are getting out of sync, and getting out of date. I don't need to give a copy of my data to anyone else. I get to keep it, I get to govern it. I get to secure it. I know exactly what's going on. But now, we can open this up to workloads, not just ones that Snowflake's building, but workloads that partners like LiveRamp, or anyone else is building. All those workloads can then run in a single copy of your data, in a single secure environment. >> And when you say in one place, Chris, people can get confused by that, 'cause it's really not in one place. it's the global thing that Benoit stressed this morning >> And that right, and so these, once you write a native app once, so the native app that they've written is one piece of code, one application, that now can be deployed by customers in any region, or on any cloud that they're running on without any changes at all. So to your point on the PaaS, that's where it gets very PaaS-like, because they write once to the Snowflake APIs, and now it can run literally anywhere the Snowflake runs. >> But the premise that we've put forth in supercloud is that, this is a new era. It's not multicloud. And it's consistent with a digital business, right? You're building, you've got a digital business, and this is a new value layer of a digital business. If I've got capabilities, I want to bring them to the cloud. I want to bring them to, every company's a software company, software's eating the world, data's eating software. I mean, I could go on and on and on, but it's not like 10 years ago. This is a whole new life cycle that we're just starting. Is that valid? I mean do you feel that way about LiveRamp? >> Definitely, I mean, I think it's really exciting to see all of the data connectivity that is happening. At the same time, I think the challenges still remain, right? So there are still challenges around being able to resolve your data, and being able to connect your data to a person-based view in a privacy safe way, to be able to partner with others in a data collaboration model, right? And to be able to do all of that without sharing anything from a sensitive identifier standpoint, or not having a resolved data set. And so I think you're absolutely right. There's a lot of really cool, awesome innovation happening, but the customer challenges, kind of still exist. And so that's why it's exciting to build these applications that can now solve those problems, where that data is. >> It's the cloud benefit, the heavy lifting thing, for data? 'Cause you don't have to worry about all that. You can focus on campaign ROI, or whatever new innovation that you want to bring out. >> And think about it from the end customer's perspective. They now, can come into their single environment where they have all their data, they can say, I need to match the identity, and they can pull in LiveRamp with a few clicks, and then they can say, I'm ready to take some actions on this. And they can pull in action tools with just a few more clicks. And they haven't made current marketing stack that you see. There's 20 different tools and you're schlepping data back and forth between each of them, and LiveRamp's just one stop on your journey to get this data out to where I'm actually sending emails or targeting ads. Our vision is that, all that happens on one copy of the data, each of these different tools are grabbing the parts they need, again in a secure well-governed, well-controlled way, enriching in ways that they need, taking actions that they need, pulling in other data sets that they need. But the end consumer maintains control over the data, and over the process, the entire way through. >> So one copy data. So you sometimes might make a copy, right? But you'd make as many copies as you need to, but no more, kind of thing, to paraphrase Einstein, or is that right? >> There's literally one copy of the data. So one of the nice things with Snowflake, with data sharing, and with native applications, the data is stored once in one file on disc and S3, which eventually is a disc somewhere. >> Yeah, yeah, right. >> But what can happen is, I'm really just granting permission to these different applications, to read and write from that single copy of the data. So as soon as a new customer touches my website, that immediately shows up in my data. LiveRamp gets access to that instantly. They enrich it. Before I've even noticed that that new customer signed up, the data's already been enriched, the identity's been matched, and they're already put into a bucket about what campaign I should run against them. >> So the data stays where it is. You bring the ISO compute, but the application. And then you take the results, right? And then I can read them back? >> You bring the next application, right to that same copy of the data. So what'll happen is you'll have a view that LiveRamp is accessing and reading and making changes on, LiveRamp is exposing its own view, I have another application reading from the LiveRamp view, exposing its own view. And ultimately someone's taking an action based on that. But there's one copy of the data all the way through. That's the really powerful thing. >> Okay, so yeah, so you're not moving the data. So you're not dealing with latency problems, but I can, if I'm in Australia and I'm running on US West, it's not a problem? >> Yes, so there, if you do want to run across different clouds, we will copy the data in that case, we've found it's much faster. >> Okay, great, I thought I was losing my mind. >> No, but as long as you're staying within a single region, there will be no copies of the data. >> Yeah, okay, totally makes sense, great. >> One of the efficiency there in speed to be able to get the insights. That's what it's all about, being able to turn the volume up on the data from a value perspective. Thanks so much guys for joining us on the program today talking about what LiveRamp and Snowflake are doing together and breaking down the Snowflake Native Application Framework. We appreciate your insights and your time, And thanks for joining us. >> Thank you both. >> Thank you guys. >> Thank you. >> For our guests, and Dave Vellante, I'm Lisa Martin. You're watching theCUBE Live from Snowflake Summit 22 from Las Vegas. We'll be right back with our next guest. (upbeat music)

>> Announcer: Live from San Diego, California, it's theCUBE! Covering Cisco Live US 2019 Brought to you by Cisco and its ecosystems partners. >> Welcome back to theCUBE's coverage, day two, at Cisco Live. we are live in San Diego. I'm Lisa Martin, my co-host is Stu Miniman, and Stu and I are very pleased to welcome back to theCUBE, Mandy Whaley, senior director of the Developer Experience at DevNet, Mandy, welcome back. >> Thank you so much, happy to be here. >> Well thanks for having us at the DevNet Zone, The last two days this has been jammed packed, it's been tons of activity from the morning in 'til it shuts down, so you get a real sense of how strong this community is, and so something, yesterday, that Chuck Robbins kicked his keynote off with was 30th year of Cisco doing a partner, a customer event. >> Yes, it's incredible. >> So I thought, let's see what else is having a 30th year anniversary this year. And I discovered Bill and Ted's Excellent Adventure is 30 and I thought I want to talk to Mandy because how the DevNet experience has been Susie and Mandy's excellent adventure, look what you've built in five years! >> That is a really great analogy. (laughing) I really like that. No, it is really exciting to see where we are in this five year journey, and I was reminiscing with some of the team who is here in the very early days. Our second ever DevNet Express was here in San Diego, and we were in the same space, and I think we were maybe, 1/3 of this space was DevNet Zone, we had a classroom, and a few meeting spaces and some demos, but it was very vibrant and the community showed up then, but it's great to see five years later how we have workshops, and demos, and more interactive things, and what we've been able to build to really help enable the community, and then to see them just soaking it up, that's one of my favorite weeks of the year. >> Mandy, I really see the coming together of Cisco's traditional business, when I think about when I would write about Cisco, it's that army of CCIEs that are out there, whose jobs were relying on Cisco products and technology, and what you've built with the DevNet group, and how you have about 600,000 in this community and everything like that. Now, the certifications went through some major updates and there's some people who was like, oh my God, wait, it's not just the treadmill every year where I get my stamp, and keep my number. Bring us inside a little bit how that happened, and what the new career is and how certifications fit in to that. >> Absolutely, so this has been an exciting week for that reason as well, because we've been working, my team of developer advocates, and our DevNet experts have been working hand-in-hand with learning at Cisco, on this project around certifications, and it's so exciting to be able to finally tell people about it, and share it with the community and get the feedback. And what's really interesting about that program is we started from the beginning, really designing it with this idea of the IT team of the future, the infrastructure skills, the software skills coming together. Whether that's one person that learns both sides of it, or it's a team, that's combinations of those skills, that's really how the certifications are designed. So, there's abilities for someone to go very deep on the networking side, our CCIEs are incredible, and they have this incredible amount of knowledge, and that path is still the same, but there is also an addition of automation and software into that path, even in the very network focus certifications. Then we added the DevNet certifications, and these allow someone who's coming more from, I have a software background, but I am starting to automate infrastructure, I'm starting to span into the OPS world, I'm building on Cisco platforms, and allow those to connect together. And then there is this new concept of the specialist certification and that's where we really let people, kind of, choose and pick, kind of choose your own adventure, in terms of the certifications that you choose and the skills that you've build, so that you could start to take a security automation specialist with a DevNet professional developer and a data center certification, and really focus it on something like DevSecOps, or same kind of things for IoT, where you can put together wireless with IoT application development, and go towards roles like an IoT architect, or something like that. So, it's been an incredible project, my team has been very energized by the work with learning at Cisco on really taking the certifications and adding the software skills to it, and seeing how that's going to help enable this amazing community of people that's here at Cisco Live. >> This seems like this is a part of Cisco's transformation from purely a hardware network appliance vendor to a hardware plus software, subscription service at DevNet is part of that as an accelerate. >> Yeah, it definitely is and I think it really shows, with the certifications how Cisco is putting real effort into that, and how that is the direction that we're heading, and it gives a clear signal to people that we do need both sets of skills, and it gives you a pathway to get those skills, is the really important thing, because we heard requests from our community, We want a DevNet certification, We want a certification path for these software skills, and so, it's really in response to things that we've heard from our partners and our customers, they wanted these define paths to get there, and now we got this way to help them. >> All right so there was some other announcements this week, why don't you walk us through the rest of the news? >> Yeah, the other DevNet announcement that we're really talking with people a lot about here is the DevNet Automation Exchange. This is really focused around network automation and how DevNet and the DevNet community can help lead the way in network automation. And so the automation exchange is focused on tangible use cases, that we've heard from partners and customers some of them very simple, we have a walk, run, fly methodology that we're applying. So a lot of people when they start with network automation they come to us and say, "I don't know where to start. "I don't know where me, personally, with skills, "my organization does not know where to start." And so the walk phase is a lot about using automation to do read only kind of activities, get insights, get information, use it to help maybe do zero touch auditing or something like that. Things that are small projects people can pick up, and start building confidence around that work automation. The run phase is start taking action, you can start to implement policy, and start doing configuration through automation. And then the fly is really connecting all of that together, into a DevOps workflow, where maybe you're adding in a chatbot to communicate back to an Ops team, or you're noting that something drifted out of configuration and taking action to fix it. And so, the automation exchange is a place where we have 50 initial use cases, that we go through, we explain, and then we also give a code project, we actually give sample code, it's a repository on GitHub that matches to solving that use case. And so, automation exchange is curated by Cisco and created by our community. So people would be submitting them in, bringing their use cases in, bringing their code, we'll also be bringing use cases and code into it, and we really want it to be this vibrant place to move that conversation forward, and find out what are those walk, run, and fly use cases that people are really working on. >> With so much of networking changes today, being done manually, I think I saw a stat on the Cisco website, that upwards of 95% of all network changes are still done manually, and I think that's got to be a huge hit to OPEX. What are some, in this early history with network automation, what are some of the success stories that you guys are hearing with the impact that this walk, run, fly methodology or path is enabling businesses to achieve? >> Definitely, so yesterday in Chuck's keynote we heard him talk about the complexities kind of moving beyond human scale, and that's one of the things that automation really helps with, and that's where we hear some of the first real wins from our customers and partners around is we've been able to approach something we couldn't before because we've put things in place using automation, it helps us work more efficiently and scale further. So that's definitely a very common one. And then the other part of it is really, not necessarily just about speed or scale, but it's about reliability and reducing risk, and so doing things in an automated way, also can really help with that, and so it's really the combination of both of those where you get the biggest impact. >> Mandy, can you bring us inside a little bit the ecosystem because we heard on the main stage, lots of discussion of keynote, especially in this multi-cloud world that we live in, Cisco spanning across lots of environments here. From a DevNet standpoint we've talked to startups that are involved, as well as some of the big people, so give us the latest there, and what lessons learned from your team have you started to share with some of the other big companies that are looking to go down similar journeys? >> Yeah, I think that is one of the things that's very unique about the DevNet community is within the community we have technical stakeholders from small startups to really large partners or huge enterprises, and when we're all here in the DevNet Zone, we're all engineers, and we're all exchanging ideas kind of no matter what the scales. So it becomes this great mixing of shared experiences and ideas. And that is some of the most interesting conversations that I've actually heard this week, is people talking about how maybe they're using one Cisco platform in these two very different environments, and exchanging ideas about how they do that, or maybe how they're using a Cisco platform with an open source tool, and then people finding value, and thinking, "Oh, maybe I can do that in my environment." So that part of the ecosystem and community is very interesting and then, we're also helping partners find each other, so we do a lot of work around here's a partner in the Cisco ecosystem who goes and installs Meraki Networks, right? Here's a software partner who builds mapping technology on top of indoor WiFi networks, and getting those two together, because the software partner is not going to install the network, and the network person may not write that application in that way, and so bringing them together, we've had a lot of really good information coming back from the community around kind of finding each other, and being able to deliver those outcomes. >> There's so many impacts that DevNet has made, I'm certainly thinking of expansion of partnerships, and ecosystem, like wow, that you probably in the beginning didn't even realize were going to be some of the outcomes that you're seeing five years in. >> Yeah, it is exciting to be five years into it and certainly when I taught the first coding 101 for network engineers at Cisco Live five years ago in San Francisco I did not expect there to be DevNet certifications five years later, that is a really interesting path to think about how that evolves, and then certainly on the ecosystems side of the same thing. You know, we always knew that the APIs were going to become prevalent across all the Cisco platforms, and up and down the stack. And we always knew developers are this creative force and if you get those two things together, you can unlock a lot of interesting things, but it's been great to see it come into reality. >> So, Mandy, I had the opportunity to hear Fran, who is the chief people person at Cisco, talk to kickoff the event here, and they talked about the fact that 40% of the leadership team at Cisco has changed in the last 12 months, and they did that because something was right, it wasn't that there was problems, but Chuck Robbins has been here for four years the stocks been going gangbusters, but give us a little bit of insight, what does this transformation of DevNet which talk about 600,000 people in the giant community, but what does it mean inside? Fran talked about the people that are engaged are six times more engaged when they work, if they really like what they're doing, and we know kind of the quality of life benefits that happen if I, you know-- >> Definitely, yeah so, I think it's been very positive. I have super confidence in our leadership team right now, and the Cisco culture is one of the biggest things that I love about working at Cisco and I'm a mom of two boys, and I have flexibility to have this amazing job and career, and also be around with my boys, and that's a life goal and that's really meaningful to me. Within DevNet, working within the company to kind of drive some change, I think within this five years we have seen awareness of what developers need and want, and how to be developer friendly, like that has certainly been something we've been working internally to help lots of groups understand, and there's been a ton of progress around that. And then also just the attention from the product teams, and engineering teams, into the work they're putting into their APIs is just incredible, and I think that's the voice of the community coming back in and them seeing that the kind of innovation that it drives in our partner community, and all these people here learning about their platforms, I think that is the best kind of virtuous cycle that you can have. >> I can only imagine Cisco, history as it is, and as large as it is, that having a reputation being developer friendly is a massive competitive advantage. Especially for some probably larger enterprises that are still trying to make that pivot. You have so many demonstrable prove points of Cisco's developer friendliness, that I can only imagine that's probably contributing to all this great revenue numbers we're seeing. >> We do believe it is really important for Cisco's future, if we're going to be a software company, being developer friendly is certainly a very important part of that, and that was part of the original thought with DevNet starting five years ago. We always have more work to do, but it's great to see how far we've come. >> Definitely, well Mandy, congratulations on your excellent adventure, we're excited to see where it goes from here, we also appreciate being in the DevNet Zone, and getting to feel the buzz and the excitement, and I can just imagine how many partnerships are forming behind us, how many new products and services are going to be created, maybe new companies, it's very exciting. >> Mandy: Thank you, it's great to be here. >> We appreciate your time. For Stu Miniman, I am Lisa Martin. You're watching theCUBE live, from Cisco live. Thanks for watching. (upbeat music)

>> Live from Stanford University. It's the Cube covering global Women in Data Science conference brought to you by Silicon Angle media. >> Welcome back to the key. We air live at Stanford University for the fourth annual Women in Data Science Conference. The Cube has had the pleasure of being here all four years on I'm welcoming Back to the Cube, one of our distinguished alumni Janet George, the fellow chief data officer, scientists, big data and cognitive computing at Western Digital. Janet, it's great to see you. Thank you. Thank you so much. So I mentioned yes. Fourth, Annie will women in data science. And it's been, I think I met you here a couple of years ago, and we look at the impact. It had a chance to speak with Margo Garrett's in a about an hour ago, one of the co founders of Woods saying, We're expecting twenty thousand people to be engaging today with the Livestream. There are wigs events in one hundred and fifty locations this year, fifty plus countries expecting about one hundred thousand people to engage the attention. The focus that they have on data science and the opportunities that it has is really palpable. Tell us a little bit about Western Digital's continued sponsorship and what makes this important to you? >> So Western distal has recently transformed itself as a company, and we are a data driven company, so we are very much data infrastructure company, and I think that this momentum off A is phenomenal. It's just it's a foundational shift in the way we do business, and this foundational shift is just gaining tremendous momentum. Businesses are realizing that they're going to be in two categories the have and have not. And in order to be in the half category, you have started to embrace a You've got to start to embrace data. You've got to start to embrace scale and you've got to be in the transformation process. You have to transform yourself to put yourself in a competitive position. And that's why Vest Initial is here, where the leaders in storage worldwide and we'd like to be at the heart of their data is. >> So how has Western Digital transform? Because if we look at the evolution of a I and I know you're give you're on a panel tan, you're also giving a breakout on deep learning. But some of the importance it's not just the technical expertise. There's other really important skills. Communication, collaboration, empathy. How has Western digital transformed to really, I guess, maybe transform the human capital to be able to really become broad enough to be ableto tow harness. Aye, aye, for good. >> So we're not just a company that focuses on business for a We're doing a number of initiatives One of the initiatives were doing is a I for good, and we're doing data for good. This is related to working with the U. N. We've been focusing on trying to figure out how climate change the data that impacts climate change, collecting data and providing infrastructure to store massive amounts of species data in the environment that we've never actually collected before. So climate change is a huge area for us. Education is a huge area for us. Diversity is a huge area for us. We're using all of these areas as launching pad for data for good and trying to use data to better mankind and use a eye to better mankind. >> One of the things that is going on at this year's with second annual data fun. And when you talk about data for good, I think this year's Predictive Analytics Challenge was to look at satellite imagery to train the model to evaluate which images air likely tohave oil palm plantations. And we know that there's a tremendous social impact that palm oil and oil palm plantations in that can can impact, such as I think in Borneo and eighty percent reduction in the Oregon ten population. So it's interesting that they're also taking this opportunity to look at data for good. And how can they look at predictive Analytics to understand how to reduce deforestation like you talked about climate and the impact in the potential that a I and data for good have is astronomical? >> That's right. We could not build predictive models. We didn't have the data to put predictive boats predictive models. Now we have the data to put put out massively predictive models that can help us understand what change would look like twenty five years from now and then take corrective action. So we know carbon emissions are causing very significant damage to our environment. And there's something we can do about it. Data is helping us do that. We have the infrastructure, economies of scale. We can build massive platforms that can store this data, and then we can. Alan, it's the state at scale. We have enough technology now to adapt to our ecosystem, to look at disappearing grillers, you know, to look at disappearing insects, to look at just equal system that be living, how, how the ecosystem is going to survive and be better in the next ten years. There's a >> tremendous amount of power that data for good has, when often times whether the Cube is that technology conferences or events like this. The word trust issues yes, a lot in some pretty significant ways. And we often hear that data is not just the life blood of an organization, whether it's in just industry or academia. To have that trust is essential without it. That's right. No, go. >> That's right. So the data we have to be able to be discriminated. That's where the trust comes into factor, right? Because you can create a very good eh? I'm odder, or you can create a bad air more so a lot depends on who is creating the modern. The authorship of the model the creator of the modern is pretty significant to what the model actually does. Now we're getting a lot of this new area ofthe eyes coming in, which is the adversarial neural networks. And these areas are really just springing up because it can be creators to stop and block bad that's being done in the world next. So, for example, if you have malicious attacks on your website or hear militias, data collection on that data is being used against you. These adversarial networks and had built the trust in the data and in the so that is a whole new effort that has started in the latest world, which is >> critical because you mentioned everybody. I think, regardless of what generation you're in that's on. The planet today is aware of cybersecurity issues, whether it's H vac systems with DDOS attacks or it's ah baby boomer, who was part of the fifty million Facebook users whose data was used without their knowledge. It's becoming, I won't say accepted, but very much commonplace, Yes, so training the A I to be used for good is one thing. But I'm curious in terms of the potential that individuals have. What are your thoughts on some of these practices or concepts that we're hearing about data scientists taking something like a Hippocratic oath to start owning accountability for the data that they're working with. I'm just curious. What's >> more, I have a strong opinion on this because I think that data scientists are hugely responsible for what they are creating. We need a diversity of data scientists to have multiple models that are completely divorce, and we have to be very responsible when we start to create. Creators are by default, have to be responsible for their creation. Now where we get into tricky areas off, then you are the human auto or the creator ofthe Anay I model. And now the marshal has self created because it a self learned who owns the patent, who owns the copyright to those when I becomes the creator and whether it's malicious or non malicious right. And that's also ownership for the data scientist. So the group of people that are responsible for creating the environment, creating the morals the question comes into how do we protect the authors, the uses, the producers and the new creators off the original piece of art? Because at the end of the day, when you think about algorithms and I, it's just art its creation and you can use the creation for good or bad. And as the creation recreates itself like a learning on its own with massive amounts of data after an original data scientist has created the model well, how we how to be a confident. So that's a very interesting area that we haven't even touched upon because now the laws have to change. Policies have to change, but we can't stop innovation. Innovation has to go, and at the same time we have to be responsible about what we innovate >> and where do you think we are? Is a society in terms of catching As you mentioned, we can't. We have to continue innovation. Where are we A society and society and starting to understand the different principles of practices that have to be implemented in order for proper management of data, too. Enable innovation to continue at the pace that it needs. >> June. I would say that UK and other countries that kind of better than us, US is still catching up. But we're having great conversations. This is very important, right? We're debating the issues. We're coming together as a community. We're having so many discussions with experts. I'm sitting in so many panels contributing as an Aye aye expert in what we're creating. What? We see its scale when we deploy an aye aye, modern in production. What have we seen as the longevity of that? A marker in a business setting in a non business setting. How does the I perform and were now able to see sustained performance of the model? So let's say you deploy and am are in production. You're able inform yourself watching the sustained performance of that a model and how it is behaving, how it is learning how it's growing, what is its track record. And this knowledge is to come back and be part of discussions and part of being informed so we can change the regulations and be prepared for where this is going. Otherwise will be surprised. And I think that we have started a lot of discussions. The community's air coming together. The experts are coming together. So this is very good news. >> Theologian is's there? The moment of Edward is building. These conversations are happening. >> Yes, and policy makers are actively participating. This is very good for us because we don't want innovators to innovate without the participation of policymakers. We want the policymakers hand in hand with the innovators to lead the charter. So we have the checks and balances in place, and we feel safe because safety is so important. We need psychological safety for anything we do even to have a conversation. We need psychological safety. So imagine having a >> I >> systems run our lives without having that psychological safety. That's bad news for all of us, right? And so we really need to focus on the trust. And we need to focus on our ability to trust the data or a right to help us trust the data or surface the issues that are causing the trust. >> Janet, what a pleasure to have you back on the Cube. I wish we had more time to keep talking, but it's I can't wait till we talk to you next year because what you guys are doing and also your pact, true passion for data science for trust and a I for good is palpable. So thank you so much for carving out some time to stop by the program. Thank you. It's my pleasure. We want to thank you for watching the Cuba and Lisa Martin live at Stanford for the fourth annual Women in Data Science conference. We back after a short break.

>> Announcer: Live from San Jose, it's theCUBE, presenting Big Data Silicon Valley. Brought to you by SiliconANGLE Media and it's ecosystem partners. >> Welcome back to Big Data SV in San Jose. This theCUBE, the leader in live tech coverage. My name is Dave Vellante and this is day two of our wall-to-wall coverage. We've been here most of the week, had a great event last night, about 50 or 60 of our CUBE community members were here. We had a breakfast this morning where the Wikibon research team laid out it's big data forecast, the eighth big data forecast and report that we've put out, so check out that online. Jacques Nadeau is here. He is the CTO and co-founder of Dremio. Jacque, welcome to theCUBE, thanks for coming on. >> Thanks for having me here. >> So we were talking a little bit about what you guys do. Three year old company. Well, let me start. Why did you co-found Dremio? >> So, it was a very simple thing I saw, so, over the last ten years or so, we saw a regression in the ability for people to get at data, so you see all these really cool technologies that came out to store data. Data lakes, you know, SQL systems, all these different things that make developers very agile with data. But what we were also seeing was a regression in the ability for analysts and data consumers to get at that data because the systems weren't designed for analysts, they were designed for data producers and developers. And we said, you know what, there needs to be a way to solve this. We need to be able to empower people to be self-sufficient again at the data consumption layer. >> Okay, so you solved that problem how, you said, called it a self-service of a data platform. >> Yeah, yeah, so self-service data platform and the idea is pretty simple. It's that, no matter where the data is physically, people should be able to interact with a logical view of it. And so, we talk a little bit like it's Google Docs for your data. So people can go into the system, they can see the different data sets that are available to them, collaborate around those, create changes to those that they can then share with other people in the organization, always dealing with the logical layer and then, behind the scenes, we have physical capabilities to interact with all the different system we interact with. But that's something that business users shouldn't have to think as much about and so, if you think about how people interact with data today, it's very much about copies. So every time you want to do something, typically you're going to make a copy. I want to reshape the data, I make a copy. I want to make it go faster, I make a copy. And those copies are very, very difficult for people to manage and they could have mixed the business meaning of data with the physical, I'm making copies to make them faster or whatever. And so our perspective is that, if you can separate away the physical concerns from the logical, then business users have a much more, much more likelihood to be able to do something self-service. >> So you're essentially virtualizing my corpus of data, independent of location, is that right, I mean-- >> It's part of what we do, yeah. No, it's part of what we do. So, the way we look at it is, is kind of several different components to try to make something self-service. It starts with, yeah, virtualize or abstract away the details of the physical, right? But then, on top of that, expose a very, sort of a very user-friendly interface that allows people to sort of catalog and understand the different things, you know, search for things that they want to interact with, and then curate things, even if they're non-technical users, right? So the goal is that, if you talk to sort of even large internet companies in the Valley, it's very hard to even hire the amount of data engineering that you need to satisfy all the requests of your end-users of data. And so the, and so the goal of Dremio is basically to figure out different tools that can provide a non-technical experience for getting at the data. So that's sort of the start of it but then the second step is, once you've got access to this thing and people can collaborate and sort of deal with the data, then you've got these huge volumes of data, right? It's big data and so how do you make that go faster? And then we have some components that we deal with, sort of, speed and acceleration. >> So maybe talk about how people are leveraging this capability, this platform, what the business impact is, what have you seen there? >> So a lot of people have this problem, which is, they have data all over the place and they're trying to figure out "How do I expose this "to my end-users?" And those end-users might be analysts, they might be data scientists, they might be product managers that are trying to figure out how their product is working. And so, what they're doing today is they're typically trying to build systems internally that, to provide these capabilities. And so, for example, working with a large auto manufacturer. And they've got a big initiative where they're trying to make the data that they have, they have huge amounts of data across all sort of different parts of the organization and they're trying to make that available to different data consumers. Now, of course, there's a bunch of security concerns that you need to have around that, but they just want to make the data more accessible. And so, what they're doing is they're using Dremio to figure out ways to, basically, catalog all the data below, expose that to the different users, applying lots of different security rules around that, and then create a bunch of reflections, which make the things go faster as people are interacting with the things. >> Well, what about the governance factor? I mean, you heard this in the hadoop world years ago. "Ah, we're going to make, we're going to harden hadoop, "we're going to" and really, there was no governance and it became more and more important. How do you guys handle that? Do you partner with people? Is it up to the customer to figure that out? Do you provide that? >> It's several different things, right? It's a complex ecosystem, right? So it's a combination of things. You start with partnering with different systems to make sure that you integrate well with those things. So the different things that control some parts of credentials inside the systems all the way down to "What's the file system permissions?", right? "What are the permissions inside of something like Hive and the metastore there?" And then other systems on top of that, like Sentry or Ranger are also exposing different credentialing, right? And so we work hard to sort of integrate with those things. On top of that, Dremio also provides a full security model inside of the sort of virtual space that we work. And so people can control the permissions, the ability to access or edit any object inside of Dremio based on user roles and LDAP and those kinds of things. So it's, it's kind of multiple layers that have to be working together. >> And tell me more about the company. So founded three years ago, I think a couple of raises, >> Yep >> who's backing you? >> Yeah, yeah, yeah, so we founded just under three years ago. We had great initial investors, in Red Point and Lightspeed, so two great initial investors and we raised about 15 million on that round. And then we actually just closed a B round in January of this year and we added Norwest to the portfolio there. >> Awesome, so you're now in the mode of, I mean, they always say, you know, software is such a capital-efficient business but you see software companies raising, you know, 900 million dollars and so, presumably, that's to compete, to go to market and, you know, differentiate with your messaging and branding. Is that sort of what the, the phase that you're in now? You kind of developed a product, it's technically sound, it's proven in the marketspace and now you're scaling the, the go-to-market, is that right? >> That's exactly right. So, so we've had a lot of early successes, a lot of Fortune 100 companies using Dremio today. For example, we're working with TransUnion. We're working with Intel. We actually have a great relationship with OVH, which is the third-largest hosting company in the world, so a lot of great, Daimler is another one. So working with a lot of great companies, seeing sort of great early success with the product with those companies, and really looking to say "Hey, we're out here." We've got a booth for the first time at Strata here and we're sort of letting people know about, sort of, a better way, or easier way, for people to deal with data >> Yeah. >> A happier way. >> I mean, it's a crowded space, right? There's a lot of tools out there, a lot of companies. I'm interested in how you sort of differentiate. Obviously simplification is a part of that, the breadth of your capabilities. But maybe, in your words, you could share with me how you differentiate from the competition and how you break out from the noise. >> Yeah, yeah, yeah, so it's, you're absolutely right, it's a very crowded space. Everybody's using the same words and that makes it very hard for people to understand what's going on. And so, what we've found is very simple is that typically we will actually, the first meeting we deal with a customer, within the first 10 minutes we'll demo the product. Because so many technologies are technologies, not, they're not products and so you have to figure out how to use the product. You've got to figure out how you would customize it for your certain use-case. And what we've found with our product is, by making it very, very simple, people start, the light goes on in a very short amount of time and so, we also do things on our website so that you can see, in a couple of minutes, or even less than that, little animations that sort of give you a sense of what it's about. But really, it's just "Hey, this is a product "which is about", there's this light bulb that goes on, it's great. And you figure this out over the course of working with different customers, right? But there's this light bulb that goes on for people that are so confused by all the things that are going on and if we can just sit down with them, show them the product for a few minutes, all of a sudden they're like "Wait a minute, "I can use this", right? So you're frequently talking to buyers that are not the most technical parts of the organization initially, and so most of the technologies they look at are technologies that are very difficult to understand and they have to look to others to try to even understand how it would fit into their architecture. With Dremio, we have customers that can, that have installed it and gotten up, and within an hour or two, started to see real value. And that sort of excitement happens even in the demo, with most people. >> So you kind of have this bifurcated market. Since the big data meme, everybody says they're data-driven and you've got a bifurcated market in that, you've got the companies that are data-driven and you've got companies who say they're data-driven but really aren't. Who are your customers? Are they in both? Are they predominantly in the data-driven side? Are they predominantly in the trying to be data-driven? >> Well, I would say that they all would say that they're data-driven. >> Yeah, everyone, who's going to say "Well, we're not data-driven." >> Yeah, yeah, yeah. So I would say >> We're dead. >> I would say that everybody has data and they've got some ways that they're using it well and other places where they feel like they're not using it as well as they should. And so, I mean, the reason that we exist is to make it so it's easier for people to get value out of data, and so, if they were getting all the value they think they could get out of data, then we probably wouldn't exist and they would be fully data-driven. So I think that everybody, it's a journey and people are responding well to us, in part, because we're helping them down that journey. >> Well, the reason I asked that question is that we go to a lot of shows and everybody likes to throw out the digital transformation buzzword and then use Uber and Airbnb as an example, but if you dig deeper, you see that data is at the core of those companies and they're now beginning to apply machine intelligence and they're leveraging all this data that they've built up, this data architecture that they built up over the last five or 10 years. And then you've got this set of companies where all the data lives in silos and I can see you guys being able to help them. At the same time, I can see you helping the disruptors, so how do you see that? I mean, in terms of your role, in terms of affecting either digital transformations or digital disruptions. >> Well, I'd say that in either case, so we believe in a very sort of simple thing, which is that, so going back to what I said at the beginning, which is just that I see this regression in terms of data access, right? And so what happens is that, if you have a tightly-coupled system between two layers, then it becomes very difficult for people to sort of accommodate two different sets of needs. And so, the change over the last 10 years was the rise of the developer as the primary person for controlling data and that brought a huge amount of great things to it but analysis was not one of them. And there's tools that try to make that better but that's really the problem. And so our belief is very simple, which is that a new tier needs to be introduced between the consumers and the, and the producers of data. And that, and so that tier may interact with different systems, it may be more complex or whatever, for certain organizations, but the tier is necessary in all organizations because the analysts shouldn't be shaken around every time the developers change how they're doing data. >> Great. John Furrier has a saying that "Data is the new development kit", you know. He said that, I don't know, eight years ago and it's really kind of turned out to be the case. Jacques Nadeau, thanks very much for coming on theCUBE. Really appreciate your time. >> Yeah. >> Great to meet you. Good luck and keep us informed, please. >> Yes, thanks so much for your time, I've enjoyed it. >> You're welcome. Alright, thanks for watching everybody. This is theCUBE. We're live from Big Data SV. We'll be right back. (bright music)

>> Hey welcome back everybody. Jeff Frick here with theCUBE One of our favorite things to do is go out and visit a lot of the cool innovation companies that are all around us here in Silicon Valley. It's a real blessing to be here. We can do it. And so we're really excited to come here today to Nightscope. They are doing so many interesting things that combine software hardware autonomous vehicles, artificial intelligence security a lot of the topics that we talked about all the time sometimes in the general terms. And here it's real. You can feel it. You can touch it. Don't try to not get over, it way too much. But we're excited to be here. We've got the founder he's the chairman and CEO William Santana Li of Knightscope. Great to see you William. >> Welcome a night scope headquarters. Good to have you here. >> Well first off congratulations on the recently announced funding that's good. >> Thank you. It's our fourth round of funding. So we're using that capital to scale across the country. We're now holding contracts in about 14 states and the companies are now starting to accelerate our growth. So we're pretty excited about that. >> So nothing do the whole history but kind of where you come kind of when did you start when did the first one get deployed. And now you're about ready to launch your fourth model. >> Sure, the company started April of 2013. When we started basically we got the first initial round of comments from all sorts of interesting folks.... Bill, you're out of your mind; This will never work; Security is not an investment thesis; You'll need 50 million dollars to build the first one; Oh and by the way it's too complicated; It's hardware and software you should pick one. And like most good entrepreneurs we ignored everyone and just did what we said we were going to do. So we deployed in the real world. Let's see, May 2015 was the first one that actually was out, operating 24/7, and that seems like so long ago but also just recently as well. >> But you really had bitten off a huge chunk of challenges, right, because you have the hardware piece and they're not only hardware, like a computer, but it's a vehicle goes outside it's in the weather. You've got the software piece, you've got the sensors piece, you've got the monitoring. So you did did bite off quite a chunk, and then you're really delivering it as a solution. So you know you're putting all these things together very much like the first iPhone. >> Yes, probably two comments: one, clients don't care about all that they just want their problem fixed. And so whatever it's going to take to fix that problem; in their particular cases it's crime. And second, I'm going X Ford Motor Company executive, spent 10 years in Detroit a little bit fluent in say large scale hardware outdoors. And for me these are lot easier than building a car. Let's put it that way. >> That's right, no people no glass No. No airbags. Things out. OK. But it begs the question how did you get to the design. Cause they're very distinctive. You know they do look like R2D2, some of the mid tier ones, you've got the stationary and this really cool Jeep-looking one back here. How did you come up with designs what were some of your initial thoughts >> Well first of all we design we engineer we build we deploy we support everything start to in-house. So maybe a little background we have a challenge similar to a law enforcement officer or a law enforcement officer and it's a command respect and authority. Shiny shoes stand up straight. But you cannot scare grandma you cannot scare the child. These are not military products so you need to be able to operate within society. So we spent maybe way too much time worrying about every little font every radius every surface color treatment everything else because part of it is putting that physical presence there to deter negative behavior. But at the same time it needs to be inviting enough to be accepted by society so that when and may are 15 when we first put the one out we were worried like what's going to happen are people going to go nuts or or what we didn't expect and ended up happening was a massive amount of robot selfies everyone's wanting to take a picture with the robot. So maybe put it a different way if you showed up today and the machines patrolling outside were painted black with red LEDs glowing with an ominous sound moving ten times faster than they probably wouldn't be sitting here talking. All right >> Exactly. I was scared by the white one when I pulled this afternoon. >> But we need to provide again that genetical presence and the turns it needs to be accepted by society. >> The next thing I think it's really interesting is the business model and I'm sure when you talk to your investors after they told you you were crazy for doing software to create a system then fracturing they probably said you know what's the business model how are you going to support these things how expensive are they going to be for a capital investment point of view. How about maintenance and ongoing upgrades. But you said forget that we're going to go as a service. So if you could tell us a little bit about that decision and how that's impacted your customer relationships. >> So we offer our technology and machine as a service business model so that gives you the machine the data transfer data storage analysis user interface. All the hardware software upgrades all the maintenance service everything one throat to choke were responsible. So one of the things we want to do for our clients is we don't want you setting up the robot robot maintenance service division right. We need. They're already busy. We've got plenty on their plate. All the security officers and our staffs. So we need to be able to empower them and not add more workload to them. So from a service standpoint that works well too. We're at the bleeding cutting edge of technology. If we were to offer it on our purchase type of arrangement let's just say I spent a lot of time in Detroit we could barely cover our cost of capital selling hardware. And that's probably not a good business model to go after long term. So if we can provide a lot more value to the client and then also retain the authority over the assets and be able to upgrade it. And as most technology around here in Silicon Valley it's better and better and better and better as Mercedes mentioned we dropped the software every two weeks on new hardware 3 6 9 months. So the clients continue to get improved technology and then from a security standpoint we want to make sure given the nature of the product that all the assets are under our control. >> It's interesting too I think that I think something that's not spoken about enough is when you have a services relationship with your client and I assume it's a monthly or a quarterly or whatever you structure your payment system. It forces you to maintain a great relationship. It forces you to continue to deliver value when they are you know writing about the feedback loop is the feedback loop is really important. >> So we signed one to three year long contracts and we had quarterly business reviews with our clients and we get to learn real time and we get real time input. So yeah after the transaction the contract signed that's when the work begins. When we get to celebrate we get to celebrate when our clients win. >> Right. So don't tell me the secret sauce or you can't tell me but I'm just curious as to where some of the real significant challenges are that people maybe don't appreciate is that the integration of these various sensors is the way that it moves. I mean what are some of the real things that make a nightscope autonomous security robot special. >> So as an ex auto executive I think self driving technology is going to turn the world completely upside down and I'm really excited to see all the massive amount our India efforts small medium large and extra large that have been going on. However we're the only company in the world that's actually scaling autonomous technology in the real world with real clients doing real work. It's easy to go build prototypes but you want machines running 24/7 in the rain. Cats dogs people cars trucks goats and sheep. And I don't know what else we've seen. That's a whole other level of engineering and fortunately we've been able to operate in that manner for a very long time depending on who you believe. Autonomous are self driving vehicles require a fail over a human one meaning 30 to 70 percent of the times the algorithms fail someone needs to take over. Despite what some people think there there is nobody in their right. >> And so we've got to we've got to be right 100 percent of the hype right. >> And 24/7 and you got to do a good enough job that it is going to pay you for it. Right. And that requires a different level of scale and a different level of discipline. >> Another question in terms of customer adoption. Well first to back up what you just said. I mean that's part of the benefit of your services model right is that you're getting feedback you get these things feel like he said as you've shipped them to heat and snow and this and that you know you're learning all the time so you actually benefit from that relationship too as opposed to just selling them something. I'm curious from the customer adoption point of view. What was the biggest hurdle that people just didn't either didn't buy it didn't expect it. I got great security guards before Mercedes told me that they'd turn over 300 cent a year. But you know clearly it's a new technology it's something new something different I would imagine there was all kind of interesting challenges to overcome. >> One is just a fundamental structure of our country. Most people don't realize that may be different than the Department of Defense. DoD has a 600 billion dollar budget. There is one person in charge. There's a massive industrial complex to build your new favorite submarine, jet fighter or what have you and they give the troops every level capability you might ever imagine and I'm fine with that. What I have a problem with is we have 2 million law enforcement professionals and security guards that get up every morning on our own soil and won't take a bullet for you and your family. And the level of technology that we provide to them as a country is certainly beneath the dignity of this nation. >> And so what I expect to happen is for us to give them the right set of tools for them to do their jobs much more effectively. The Department of Justice and Homeland Security have no federal jurisdiction over the 19000 law enforcement agencies and 8000 private security firms. There's literally no one in charge and there's basically been no innovation and space so when you ask me how you're going to get this into a clients hands. Well we basically took the thing that was on the movie screen and is now operating autonomously on your premises. Right. And that takes a little bit of gall to do that right. >> Probably the best way is showing how you can do as many videoconferences and calls and what have you but also bringing a machine to their premises and instead of having a discussion with just the chief security officer or the director of physical security or whatever it's like hey the robots here and 50 people come streaming downstairs and it's purchasing it's legal it's finance it's the CFO it's everybody who has a stake somehow of this new massive device patrolling their campus. So you get that by in that way and then now that we've got a track record of crime fighting becomes a little bit easier. >> So we've had in some cases of criminal incidents where a client is experiencing one to two vehicle thefts assaults battery you name it on the premises. We put the machine there and for the last year it's all gone down to zero. As was a Mercedes and mentioned earlier and that makes a big impact. Now when the staff says or the guards this area is so crime ridden I won't even patrol. Now this machines come here and actually made the environment that much safer. They're going to renew that contract. Right. And so the adoption starts getting stronger. Just from our own winds. And so we've now been in service and long enough they're starting to get renewals and renewals are based on merit. We had five break ins or negative things happen a month. Now it's gone down to 2 to 1 0. That makes a huge difference and it's extremely cost effective. >> Now what happens I just want to say it is a really rough neighborhood and your and your machine is patrolling in the parking lot. Certainly some bad guys must come up NATO with a baseball bat or something. I mean there's got to be a tough kind of initial reaction of some of these rough neighborhoods. I mean how do they respond. >> So you want to think of this as two different things. One these are tools for the guards to use. So majority of the clients are looking at this as adding additional capability a force multiplier to get really smart eyes and ears for the security guards to cover more ground and be able to do their jobs again more much more effectively in some cases the physical presence deters a lot of the behavior. So simply if I put a marked law enforcement vehicle in front of your home or your office right. Criminal behavior changes right. Most of these guys, and they're mostly guys, are literally just trying to get away with something and looking for the path of least resistance least resistance right. You walk up like you did today. You pull into a parking lot. I have no idea what this thing does. I don't know what it's recording like. I'll go. All right. And that's exactly what happens. And so clients get to see that that there is a net positive brand enhancing effect. So manufacturing plant a puts one in Kentucky is like hey this is kind of working. Let me call my sister plant in Mississippi. Right. And let's put one there you know mall a in San Jose decides you know this is actually working really well. These guys have helped us a lot. In one case for a different client we were able to have a law enforcement agency and issuing an arrest warrant for a sexual predator. Right. That's a huge win for us to be able to do that or there was a someone that showed up with a shotgun to basically steal someone's car. We captured all the video and everything else that nothing above 12 stories looking at the top of your head is going to be very helpful in doing gave the evidence to law enforcement. The guy was caught before he crossed the state state line. We helped the security guard apprehend thief in a retail environment. The list goes on and on and on. So you start having those kinds of wins. The next mall calls up and says Hey I heard things went really well here. How can we get a couple over here. Right. And that's that's where we are now are starting to really accelerate the growth of the company. So I would be remiss if I didn't ask the obligatory security question terms of getting act so. >> High tact everyone who wants to hack the machine they can't get a home. A little bit that kind of how's the communications work. Do they work autonomously. Do they work in teams. And you know clearly someone's going to sit outside with the laptop and on their second trip back to the parking lot. I'm going to crack this code. >> So we try to do a few things one because we don't sell these things outright. They're always in our control. Just as a basic advantage there. Second we change it often. So that gives us another advantage. Third the teams working on hardening a lot of the stuff making making sure stuff's encrypted encrypted and we only transfer a certain amount though we really need or don't need type of things and then we hire white hack a white hat hackers to try to hack the system and we make the changes accordingly. Everything as you know is hackable but we try to do our job as best possible to make these systems as secure as possible. >> So for the not-hacker, at the mall deployment, I mean how should people interact with these things how do people interact with these things in an environment where it's not necessarily the security guard who is trained and knows exactly what the capabilities are but just kind of in the wild weather be in a parking lot or at the mall I think is a bunch of stuff. >> First it's a kid magnet right. So parents can now explain in the real world why you should probably be studying math and science and yes which is an engineering is a really good thing. Second we're about to release in production a concierge's feature that allows a two way dialogue between the human and the machine. So you know walls closing in 30 minutes or where is Macy's or you know what jeans are on sale today. That sort of thing. You can also do that for authentication at a entrance for manufacturing facility. So let's say there's a K1 stationed at the entrance for a manufacturing plant of transmission parts 18 wheeler shows up at 3:00 in the morning. Compress the intercom button to a dialogue get authenticated. We have the plates we've got all the other signatures that we need. Digital or otherwise to allow that that truck in. All right. So there's all kinds of opportunities again to give the guards much more capability. So go back to the math. You have 2 million guards and officers trying to secure 300 million people across 50 states. I don't care what math you're going to come up with. It doesn't work. And by the way the population keeps growing and that taxpayers can't afford funding this stuff. You need something that's going to be the game changer in this is that game changer. Crime has a trillion dollar negative economic impact on the U.S. every single year. It's a hidden tax we all pay in blood tears and treasure and somehow society has found it acceptable that at these levels it's OK. And I don't know about you but I'm sick and tired of waking up every morning looking on my news feed to find some horrific thing happened again. And what do our political leaders do. We extend our thoughts and prayers. Hey listen buddy. No amount of thoughts and prayers are going to fix this problem. I've got a team of very dedicated engineers and patriots here working on trying to actually fix the problem so we have the honor and privilege to be able to do that every single day here in Silicon Valley. >> Well the the passion comes through Bill and clearly it's a very important mission and congrats on the new funding and I can't wait to see you deployed. >> Appreciate it. >> All right. He's Bill, I'm Jeff. We're at Nightscope. Check it in Mt. View, Thanks for watching. We'll catch you next time.

>> Announcer: Live from Washington DC it's The Cube. Covering .NEXT Conference. Brought to you by Nutanix. >> Good morning everybody. In 2009, infrastructure professionals, and the vendors who supplied products to them, started to realize that the cloud was real. They began to try to replicate that cloud on site. The first instantiation was what we call converged infrastructure. Converged infrastructure was essentially the combination of storage, server, and networking kind of bolted on together but prepackaged, pretested, and engineered to be installed and delivered in a more seamless fashion to minimize the amount of labor that had to go into the management of infrastructure. That was around 2009 and in that same year, Nutanix was born with a slightly different vision, to actually develop a solution that was truly cloud-like for on prem. Welcome everybody to Nutanix .NEXT 2017. This is The Cube, the leader, in live tech coverage. My name is Dave Vellante and I'm here with Stu Miniman from SiliconANGLE Wikibon, who is an expert on Nutanix, on hyper-converged infrastructure, which was the next instantiation of converged infrastructure. And now, Stu, we see this going into the cloud era. Nutanix is a company that's probably going to do close to a billion dollars this year, if not a billion. They got a two and a half billion dollar market cap. They got a gross margin model in the high fifties. They're growing at 65, 66% per year. The stock, when they did their IPO, was a meteoric rise, sort of flattened out since. It's up today, on some news that was broken by CNBC. They're doing a deal with Google. This is our, let's see, fourth? Third or fourth .NEXT >> Third year of the US show, The fourth >> Fourth overall. >> Nutanix conference overall >> we did some in Europe. >> Stu, great to be working with you. We've been together a lot this month at a number of shows. This is sort of the capstone of what we call true private cloud and a great instantiation and example of it. What are your thoughts, early thoughts, on what to hear. >> Steve, great to be with you as always, and excited to be here at this show. One of the things I love in our role as analysts is when you see something in some of the early stages. So, I first got introduced to Nutanix when they were about 20 people. Little bit smaller than say, when I first met VMware, when they were about 100 people. And to watch this company and this wave grow I remember John Furrier and I interviewed Dheeraj, CEO of Nutanix, back at VMworld 2012. And, right, infrastructure and converged infrastructure, I mean, I worked on some of the original Vblock architectures when I worked at EMC, and we're saying "Take my storage, take my network, "take my compute, put 'em together, "package 'em, integrate 'em, try to make it simpler." But when we talked to Dheeraj, it wasn't about the infrastructure, he really posited that the challenge of our day is building distributed systems, and it's really a software challenge, and that is at the core of what Nutanix's IP, what their engineering mentality is, and they've kept that going forward. We always talk about, oh, okay, in our infrastructure silos, Nutanix's vision from day one was to go beyond that, we talk about hybrid cloud or multicloud, today, that's what Nutanix is starting to deliver in their vision. When they first launched themselves as an enterprise cloud, as their marketing, everybody was like "What are you talking about? They're an HCI player, what's their cloud mission?" Making an announcement with Google shows that they are going to have some partnerships there to live in that hybrid or multicloud world. And Dave, I want to clarify, when I You know, we throw around these terms, hybrid and multi for me these days, I look at it as, hybrid is a lot of what I know you used to call federated, so how do I have a model that really looks the same whether that's just the application layer or even going down to the infrastructure layer, spreading between environments, typically my private cloud and my public cloud service writers can be in the mix there, multicloud means I've got data and I've got applications that are going to live in multiple public clouds in multiple data centers, of course we've got SaaS, so that differentiates a little differently. Things like Kubernetes are really helping that explosion and that discussion of multicloud, kind of replacing what we used to talk, with PAS, the platform as the service, where I could really be independent of the cloud, so there's a lot of nuance and detail which I'm looking forward to digging into. >> It's nuance >> Over the next two days >> But it's important nuance, because basically you're saying it's not just a bunch of hybrid, it's not just a bunch of clouds, >> Stu: Yeah. >> It's some kind of federated >> Stu: Yeah, we had >> It's a data plane and a control plane that spans multiple physical locations, essentially. >> Yeah, I worry about things like identity, I worry about things as to how to security SPAN these environments, governance of course plays in a lot, but I'm sure we'll hear things about consumption model because one of the things cloud consumption model used to be like, oh well some business guy just swipes a credit card and goes and does it, well shouldn't all infrastructure be as easy to buy as we did, I mean, you remember a decade ago we always talked about the consumerization of IT, now it's really that cloudification of IT with companies like Amazon really driving forth the model that everyone wants to copy. >> So since we've started researching Nutanix and talking to some of it's customers two years ago at the initial .NEXT conference, at the Fontainebleau in Miami. Really talked to a number of customers and you could see the enthusiasm for simplicity, you could see the desire to reduce their reliance of VMware and the vTax that was hanging over their heads, and at that time, a couple years ago Nutanix introduced Acropolis, which is essentially a hypervisor inside of what they call now the cloud operating system. But that is a strategic move by a company that's basically saying, "hey, we're not just hyper converged, "cause everybody's now pivoting "to hyper converged, we're cloud," so it's a message to the financial world, to the industry analysts, and to customers that, we have a vision and to the financial world, we have a large TAM. Financial guys are more worried about, they're always worried about TAM expansion, that's their TAM expansion plane. Now, bringing it back to some of their financials, just briefly, Nutanix essentially loses 37 cents from an operating basis, on every dollar of revenue it makes. Okay, that's I guess in vogue these days, but it's funny accounting, because they don't recognize the full value of their OEM deals, like the Dell deal, again some nuance, and there are some accounting changes that are occurring which should be a tailwind for this company from just from the optics of the income statement. So you're going to see, and I think the street's finally starting to understand this, again, stocks up today on the Google news, there's no press release yet, but CNBC broke that news, what do we know about that? >> Yeah, so first of all, right. The accounting changes coming this summer, if I remember right, I believe it's August, >> Dave: Yep. >> So that means that rather than taking the three year subscription and only taking a small piece of that today and pushing most of it out into the future, there will be a restatement of all of Nutanix's number, which, right, will be a tailwind as you said and push all that in. Google, number one, is you look at one of the most interesting dynamics of Nutanix is, been the relationship with VMware. I did an interview with Dheeraj right after the IPO, I was at the headquarters, sitting with him in this beautiful library that they have there, and he turns to me and he's like, you know, on camera, he says, "Stu, if VMware hadn't been so negative on us, and not allowing us to OEM or ship their product, I don't know if we would have launched our own hypervisor." It was not an initial plan. It was something that he's talked to the analyst community and said, this is something that was not simple, it was not something that was done lightly, it was something that, their hand was really forced because customers say, "I want the simplicity, "I want to be able to just stand it up, "I need that to come pre installed," and there was additional value that Nutanix felt they could bring. The DNA that they had, as they said, from companies like Facebook, from Google, and the like, where they understand the underlying code that they need to build to be able to build this distributor architecture. So, building off of KVM, they built the Acropolis hypervisor. One of the next big shifts coming is containerization, and this is where Google fits in. They should be able to accelerate that move, which is the thing I worried about with hyper converged, is we took our virtualized SAN environment and we just put them in slightly different form factor. It's simpler, yes, it's great, it's going to be, hopefully, a better economic environment, but how do we move the company forward faster? Two years ago, the customers were really excited cause they said, "I got my weekends back." What you want from an IT department is not to say, "hey, I'm no longer just overworked," but "I'm driving the business forward." But Dave, you've always said the role of the CIO is not just to maintain the business, but to transform and grow the business. So that's where we need things like containerization to help companies be more agile and move faster, and to have IT turn into a force that can help code, create new business lines, leverage our data more. The thing that we've heard at every storage show we've been at recently, Dave, is, NetApp actually say that "storing is boring" and that is something that we hear, is "I need to leverage our data, "we need to get it out there" and that's what I'm looking for this week, is to hear more of that cloud native piece. I was at the Cloud Foundry Summit a couple weeks ago, I can sit that on top of Nutanix. So how does partnerships like Google and some of these environments help with application modernization, analytics where I can get new, you know, take my data and create new business value, cause that's where we're going to really transform and grow companies into new revenue streams, and Nutanix is a platform to help deliver on that. >> So, Stu, since the spring when we released our latest true private cloud report, the Wikibon team, there's been a lot of talk about that report, it's implications, we had, there was a blog post today from Yaron Haviv at Iguazio saying, "you guys needs to rethink your definition of true private cloud, because the on prem guys have no chance against the cloud guys," we don't agree with that, by the way. But the notion of true private cloud, is this this on prem infrastructure that substantially mimics the public cloud, and as I said before, has a control plane that spans multiple physical locations. That's a concept that we've kind of put forth, and started to quantify, because there was so much cloud washing going on. And it really is, frankly, the savior of the existing infrastructure guys, or could be. Because their legacy business is not growing, in fact it's declining, and this is a very high growth market opportunity for these folks. So, my question to you is, can Nutanix participate in that high growth market? You know, there seems to be an aspiration, maybe I'm overstating this, but to be the next VMware, of sorts. >> Stu: Yeah, no, no. >> Can they do it? >> Exactly, and Dave you're not overstating it, I've heard people from Nutanix say that was their target. Their target wasn't to replace a flexpod, their overall vision was right, to be the next VMware. They want to be a platform to be able to grow on that. And the thing I've been looking at, at every show when we go to infrastructures, how do you live in that multicloud world? Because, you can't put blinders on and say, "Right, well, Amazon's in a corner." No, we know Amazon customers are using them. Right, as you said, Dave, I want that operational model in my own environment to build what we called a true private cloud, absolutely Nutanix is a player there. There's still work to be done for all of these infrastructure players, but what are they doing? How does their control plane span beyond that? And why should Nutanix be more than just a piece of the infrastructure? Because, there are lots and lots of players, not only the infrastructure players, lots of software companies, and the cloud companies themselves, that are going to say "I'm going to own that piece." I mean, Microsoft, identity is one of their greatest strengths. Google and Amazon, have been going after that, I mean, Amazon's eating everything, Dave. So, why should Nutanix not just eat some of the old guys, but be a player that lasts into the new world? Is looking forward to the announcements later tonight, we've got a lot of their partners and customers on here to be able to deliver proof points. And Nutanix is still growing, still doing real well, and you know, exciting stuff. >> Yeah, so we're going to be covering this, wall to wall coverage of two days. We've got some great outside guests coming in, we got Diane Greene's speaking at this event, Bill McDurmott's speaking at the event, and word is Peter McKay from Veeam is going to make another appearance, he's like The Cube, he's everywhere. (Stu chuckles) And then some really interesting outside speakers. Malhotra is here again, so really excellent line up that we have for you guys this week, two days, wall to wall coverage, this is The Cube, we'll be back from the district, live in Washington, D.C., this is Nutanix .NEXT. Be right back. (relaxed futuristic music) >> Announcer: Robert Herjavec