>>mhm mhm >>Hey guys, welcome back to Los Angeles lisa martin. Coming to you live from cuba con and cloud native Con north America 2021. Very excited to be here. This is our third day of back to back coverage on the cube and we've got a couple of guests cube alumni joining me remotely. Please welcome parse our karate senior consultant, product marketing, Dell Technologies and David Noi VP product management at Dell Technologies. Gentlemen welcome back to the program. >>Thanks johnny >>so far so let's go ahead and start with you. Let's talk about what Dell EMC is offering to developers today in terms of unstructured data. >>Absolutely, it's great to be here. So let me start with the container storage interface. This is Q khan and a couple of years ago the container storage interface was still in beta and the storage vendors, we're very enthusiastically kind of building the plug in city of the different storage portfolio to offer enterprise grade features to developers are building applications of the Cuban this platform. And today if you look at the deli in storage portfolio, big block volumes. Nash shares s three object A P I S beyond their virtual volumes. However you're consuming storage, you have the plug ins that are required to run your applications with these enterprise Great feature speech right about snap sharks data replication, all available in the Cuban this layer and just this week at coupon we announced the container storage modules which is kind of the next step of productivity for developers beat you know uh in terms of observe ability of the storage metrics using tools like Prometheus visualizing it ravana authorization capabilities so that you know too bad moments can have better resource management of the storage that is being consumed um that so there are these multiple models were released. And if you look at unstructured data, this term may be a bit new for our kind of not very family for developers but basically the storage. Well there is a distinction that is being made you know, between primary storage and unstructured storage or unstructured data solutions And by unstructured we mean file and object storage. If you look at the cube contact nickel sessions, I was very glad to see that there is an entire stream for um machine learning and data so that speaks to how popular communities deployment models are getting when it comes to machine learning and artificial intelligence. Um even applications like genomics and media and entertainment and with the container storage interface uh and the container storage modules with the object storage portfolio that bill has, we offer the comprehensive unstructured data solutions for developers beat object or file. And the advantage the developers are getting is these you know, if you look at platforms like power scale and these areas, these are like the industry workhorses with the highest performance. And if you think of scale, you know, think of 250 nasnotes, you know with a single name space with NVIDIA gpu direct capabilities. All these capabilities developers can use um for you know, applications like machine learning or any competition intensive for data intensive applications that requires these nass uh scale of mass platforms. So so um that's that's what is new in terms of uh what we are offering, you have the storage heaters >>got a parcel. Thank you. David, let's bring you into the conversation now you've launched objects scale at VM World. Talk to us about that, what some of the key features and capabilities are and some of those big business benefits that customers are going to be able to achieve. >>Sure thing. So I really want to focus on three of the biggest benefits. This would be the fact that the product is actually based on kubernetes country, the scale of the product and then its ability to do global replication. So let me just touch on those in order. Mhm You said that the product is based on kubernetes and here we are cube concept. The perfect time to be talking about that. This product really caters to those who are looking for a flexible way to deploy object storage in containerized fashion, appeals to the devops folks and folks who like to automate things and call the communities a P I. S to make uh the actual deployment of the product. Very simple in turnkey and that's really what people turn to kubernetes for is the ability to spin things up when they need them and spend them down as they don't and make that all on commodity hardware and commodity, you know, the quantity pricing and the idea there is that I'm making it as simple and easy as possible. You're not going to get as much shadow I. T. You won't have people going off and putting things off into a public cloud. And so where security of an organization or control of the data that flows with an organization is important. Having something that's easy for developers to use in the same paradigm that they're used to is critical. Now I talked about scale and you know, if you have come to me two years ago I would have told you, you know, kubernetes, yeah, containers people are kicking it around and they're doing some interesting science experiments, I would say in the last year I started to see a lot of requests from customers um in the dozens, even 200 petabyte range as it relates to capacity for committees and specifically looking for C. S. I and cozy with this. This this is the the object storage implementation of the container storage interfaces. Uh So skin was definitely there and the idea of this product is to provide easy scalability from the terabytes range into the multi petabyte range and again it's that ease of use, ease of deployment because it is kubernetes basically because it's a KPI driven that makes that possible. So we're talking about going from a three night minimum to thousands of nodes. and this allows people to deploy the product either at the edge or in the data center um in the edge because you can get very small deployments in the data center to massive scale. So we want to provide something that covers the gamut. The last thing I talked about was replication. So let me just touch upon what I mean by that uh when people go and build these deployments, if you're building a deployment at the edge of an object scale product, you're probably taking in sensor data or some kind of information that you want to then send back to a data center for processing. So you make it simple to do bucket based replication. An object, sorry object storage based replication to move things to another location. And uh that can be used either for bringing data back for analytics from the edge, it can be used for availability. So making sure that you have data available across multiple data centers in the case that you have an outage. It could be even used for sharing data between developers in one site and another site. So we provide that level of flexibility overall. Um this is the next generation object store leveraging. Dell technologies number one position in object storage. So I'm pretty excited about >>and how David is object scale integrated with VM ware software. Stop give us that slice and dice. >>Yeah, and that's a good question. And so, you know, we're talking about this being a Kubernetes based product, you can deploy it on open shift or we integrate directly with VM ware cloud foundation and with Tansy, which is VM ware's container orchestration and management platform. I've seen the demo of the product myself from my team and they've showed it to be did all of the management of the product was actually done within the V sphere Ui, which is great. So easy to go and just enter the V sphere. You I installed the product very simply have it up and running and then go and do all of your management through that user interface or to automate it using the same api is that you used to through VM ware and the 10 Zoo uh platform. >>Thank you, paris are back to you. Security is a big theme here in kubernetes. It's also been a big theme here. We've been talking about it the last three days here at cop con. How does Dell EMC's unstructured portfolio offer that necessary cyber protection that developers need to have and bake that into what they're doing. So >>surely, you know, they talk about cybersecurity, you know, there are different layers of security right from, you know, smarter firewalls to you know how to manage privileged account access and so on. And what we are trying to do is to provide a layer of cyber defense, right at the asset that you're trying to protect, which is the data and this is where the ransom their defender solution is basically detecting any patterns of the compromise that might have happened and alerting the I. T. Um administration about this um possible um intrusions into their into the data by looking at the data access parents in real time. So that's a pretty big deal. Then we're actually putting all this, you know, observance on the primary data and that's what the power scale platform cybersecurity protection features offers. Now we've also extended this kind of detection mechanism for the object data framework on pcs platforms as well. So this is like an additional layer of security at the um layer of uh you know where the data is actually being read and written. Do that's the area, you know, in case of object here we're looking at the S. Three traffic and trying to find his parents in case of a file data atmosphere, looking at the file's access parents and so on. So and in relation to this we're also providing uh data isolation mechanism that is very critical in many cyber recovery processes with the smart absolution as well. So this is something that the developers are getting for like without having to worry about it because that is something implemented at the infrastructure layer itself. So they don't have to worry about you know trying to court it or develop their application to integrate these kinds of things because it's an it's embedded in the infrastructure at the one of the FBI level at the E C. S A P I level. So that's pretty um pretty differentiating in the industry in the country storage solutions. I'll get. >>Uh huh. Yeah. I mean look if you look at what a lot of the object storage players are doing as it relates to cyber security. They're they're playing off the fact that they've implemented object lock and basically using that to lockdown data. And that's that's good. I mean I'm glad that they're doing that and if the case that you were able to lock something down and someone wasn't able to bypass that in some way, that's fantastic. Or if they didn't already encrypted before I got locked down what parts are is referring to is a little bit more than that. It's actually the ability to look at user behavior and determined that something bad is happening. So this is about actually being able to do, you know, predictive analytics being able to go and figure out that you're under attack. There's anomalous behavior um and we're able to go and actually infer from that that something bad is happening and where we think it's happening and lock it down even even more securely than for example just saying hey we provide object like capabilities which is one of the responses that I've seen out there from object storage vendors >>can you share with us. Parts are a customer example like walk us through how this is actually being used and deployed and what some of those business outcomes are. >>Yes lisa. So in terms of container realization itself, they have a media and entertainment kind of customer story here. Um Swiss TXT um they have a platform as a service where they serve their customer base with a range of uh you know, media production and broadcasting solutions and they have containers this platform and part of this computerization is part of their services is they offer infrastructure as a service to you know, media producers who need a high performance storage, high performance computing and power skill And Iceland have been their local solutions to offer this And now that they have containerized their core platform. Well you see a sign interface for power skills, they are able to continue to deliver the infrastructure, high performance infrastructure and storage services to their customers through the A. P I. And it's great to see how fast they could, you know, re factor their application but yet continue to offer the high performance and degrees enterprise grade uh features of the power scale platform. So Swiss Txt and would love to share more. Keep it on the story. Yeah. Hyperlink. >>And where can folks go to learn more about objects scale and what you guys are announcing? Yes, particular. You are a website that you want to direct folks too. >>I would say that technologies dot com. And uh that's the best place to start. >>Yeah, I would go to the Delta product pages around objects should be publicly built. >>Excellent guys, thank you for joining me on the program today. Walking through what how Dell EMC is helping developers with respect to unstructured data, Talking to us about objects skill that you launched VM world, some of those big customer benefits and of course showing us the validation, the proof in the pudding with that customer story. We appreciate your insights. >>Thank you. Thank you lisa >>For my guests. I'm Lisa Martin. You're watching the Cube live from Los Angeles. We're coming to you from our coverage of coupon and cloud native on North America 21. Coming back. Stick around. Rather I should say we'll be back after a short break with our next guest.

>>Hey, welcome to this cube conversation with Dell technologies. I'm Lisa Martin. I've got kosha ghost here with me. He's back on the cube director of product management for unified NAS solutions at Dell technologies. CATIA. Great to see you again. >>Yes. I raped a great to be here again. >>We're going to be talking about the major announcement that Dell technologies just made with their scale-out file storage system that has Dell EMC power scale. We're going to unpack the recent announcement, new features, capabilities, all that good stuff. Kaushik let's go ahead and start. Just give us that high level view of Dell EMC power scale. >>Yes, absolutely. Itself power scale is a high-performance scale-out file storage solution. Um, it's the successor to the Isilon family record, which as you guys know, I mean, there's one of the leading file solutions in the market today. Um, power scale one best, which is the file system that runs on power scale and also the Isilon family, um, is offers an exceptional simplicity, flexibility, and performance, um, which is what Isilon and Parscale is known for. I mean, um, if you look at Gardner's magic ordered one, Fs has been listed as the leader in that, uh, in the distributed and object file system. So, uh, so that basically is now our scaled. We launched our first Parscale all flash products last year. And then this year with this launch, we are sort of completing that portfolio, um, with, uh, with new hybrid and archive, uh, platforms. >>Excellent. And we're going to get into that as well. Let's go ahead and start unpacking this announcement. Walk me through some of the key things that are new and announced in this recent announcement. >>Yeah, except we just launched the hybrid archive platforms, um, on, as part of the Parscale family, are there two archive platforms and two hybrid platforms that we launched and, uh, they offer better CPU, performance, cash, and all that stuff, but, but we don't want to go into the speeds and feeds what I really want to hide breast is the, is the software capabilities that is far skull rings for starters. Um, it is, uh, it now includes inline data compression in 99 reduction. It's all built into it. Um, we support now new ransomware protection capabilities with, uh, with this product. Um, there's a new data protection capability that we now support with our, um, with our, our protected data data manager. Um, and, um, and then the, all the goodness of, uh, Iceland, one Fs and Parscale one Fs that sort of continues. >>I imagine, since the launch last year, cash took a lot of customer conversations that helped to drive this launch and the complete transition on the innovation of what we now see as power scale. >>Yeah. Yeah. I mean, uh, there, there have been some great conversations. People have been, um, people have been really waiting for this product offering because now, uh, they can basically combine those flash platforms that we launched last year with these hybrid platforms and can offer a really a solution that only gives you that performance, but also the, the cost and, uh, savings and the value that, um, that, uh, only our powers skill in Iceland can give you, >>Give me a good overview of some of those key capabilities that the existing Isilon customers and the prospective new customers of power scale are going to be able to take advantage of. >>Yes. So the new, some of the new capabilities as in line efficiency, as I mentioned earlier, that's now built into the product. Um, we have a line efficiency today on our all flash platforms. Uh, so now introducing it with these hybrid and archived nodes, what that means is that when you set up a mixed cluster with all flash and hybrid, when you gear the data down from the national hybrid, the data does not have to be rehydrated. They stay compressed, they stay in protected and so on and so forth. So that's one big advantage that you get. Second, um, these power skill hybrid type platforms were built ground up, uh, with our own custom hardware, unlike the flashback phones with be leverage powered servers for these ones, we use our custom hardware. And the reason for that is because what those archive and storage, the whole story we want that density, we can store up to 500 terabytes of usable capacity, effective usable capacity in, in these archive nodes in a single, uh, one U rack unit. And then, uh, of course, uh, from a software perspective, uh, we talked about ransomware protection. So, so we have a new capability with trends of bear protection. And then there's this new capability that we just launched in regard to backups, more efficient, more faster backups with, uh, with our, our protector will be bought predict family of products. >>Excellent. I want to dig into the ransomware and data protection in a minute, but I want to get a sense of the overall theme of the launch. You talked about this being the completion of that tech refresh some of the new capabilities and enhancements that customers are going to be able to take advantage of it. Give me that higher level kind of thematic look at this news. >>The big team of this is basically finishing that Parscale family that we started last year, right? So we started with launching the whole flash. Now with this hybrid and archive. Now we have the flu family done, um, all products, not support in line efficiency, so we can move the data around, you get the same, uh, data doesn't get high rehydrated. Um, you are, you can make it part of a single cluster. Um, and you get all the performance benefits, um, the scalability benefits of one Fs, um, and new data management capabilities, the, um, so all of that, that we started all of that goodness that we started with our skill, all flash. Um, we soft, continued now with this, uh, with this platform. >>Got it. And I know you guys did your own internal study and I'd like you to share some of the results with the audience, you guys compared power scale to competitors in traditional NAS in flash only NAS in mixed NAS, San and software only NAS give us a snapshot into what some of those results were for power scale. >>Yeah. I mean, uh, the big take away out here is that, um, that when it comes to power scale, um, they, we don't have a competitor when it comes to scalability, right? Uh, the fact that you can now work, uh, on petabytes of capacity under a single namespace, a single file system, and also give you that performance. Um, we, there is none to today, right? And, um, and then there may be some which can do those also, but then they don't have the enterprise capabilities like replication, um, and, uh, the rich enterprise capabilities that one, if fit, sets so off performance, scale capabilities and all the, uh, the simplicity of one Fs. And that's basically what the unique thing about our skaters >>W performance scale and simplicity, three things that I'm sure enterprises, small, medium businesses in any industry appreciate you. You talked about the, um, what's new in terms of the hybrid notes and the archive nodes. Can you help us understand what workloads does nos are best targeted for? >>Absolutely so hybrid and archive. What we have realized is that not every data can be a compressed RDU, right? So, so it's not, we would love customers to use our all flash products. They get the deduplication, they get the compression, then it lowers the cost. And clearly then you get the performance and the cost, but there are workloads like media and entertainment, video surveillance, where you will not be able to compress or that guest, rather than it being for a very expensive flash. You could put those data sets in our lower cost archive platforms as an example. And if you have situations where look, I need some performance, but there is a lot of old data and you can actually mix and match it also. So you're going to have those flash platform is giving that performance. And then you have our archive platforms, which is basically giving you the lowest cost storage for that data. And it is not so frequent giving access. >>And there's the flexibility there. So how can, this is the tech refresh? He said, this has been completed now a power scale from Isilon. How can existing Isilon customers take advantage? What are their next steps to be able to take advantage of the newer capabilities and technologies? >>Yeah, absolutely. I mean, one thing we, we, our scale has it, that's very different from others is that Parscale has this mantra called the no, no left behind. So if you are an existing Isilon customer, you can basically add these Parscale nodes to your existing Iceland cluster without breaking any donut. Then we put our scale, we lock them, magically redistribute, rebalance your workloads across these new nodes. And you sort of keep on expanding our cluster. And when you, when you feel like that, you can, uh, take out the older nodes, uh, at the time of your choosing, right? So that stuff, um, that's a huge benefit that we get. So in fact, in some customer environments, their data has been there for almost 10 to 12 years now, uh, uh, because they've never had to do a forklift upgrade. So that sort of continues with this family. Um, if you learn to learn more about it, I would encourage, uh, going to Dell technologies slash power scale, uh, or contact your Dell technologies, uh, rep >>Let's kind of wrap up things here with talking about, dig into ransomware. We've seen ransomware become a household word, the colonial pipeline, the meat packing organization that was attacked earlier this summer. We know that that a lot of data show that there's a one ransomware attack happens every 11 seconds. And of course we only hear about the really big attacks. Um, I've had the opportunity to talk to a lot of cybersecurity leaders lately, and they're showing that ransomware is up, you know, at least 10 X in the last year with this massive pivot to work from home now, work from anywhere. Talk to me about some of the focus that Dell has put in power scale now with perspective of ransomware protection and recovery. >>Yeah. So for ransomware product, we have to do things that we are doing. So one is this concept of a detection. So when an attack is happening, we want it to be able to detect with date at an attack is happening and take some corrective measures, right? And so we have this product called Sabrina eyeglass, which is exclusively built for, uh, uh, built for, uh, uh, our scale and using this product they use, we use AIS, uh, to basically to figure out that if an attack is happening, we detect it. And based on that based on policies, we can then either, if it's happening with only one user, we can start off, um, uh, start off, uh, prevent, uh, sort of lock it down that particular user profile or, or take other corrective actions taking meaning set up. So that's one aspect of it, which is about the detection of it and taking some quick steps. >>Then there's a second aspect of it, which is all about recovery, right? So, so we do have a replications event. If the customer chooses, we can have reputations set up from your Parscale, uh, production cluster to another cluster. And, um, and in that replication, uh, we can introduce an air gap so that, uh, any, anything bad thing is happening here does not get, uh, uh, does not get replicated to that, uh, remote in mine. So, um, so, so those are the two ways, one detecting, and second basically protecting it. Um, and not only just protecting it, but ensuring that air gap, um, capabilities, data as well, so that, uh, the ransom reason not replicated there as well. >>Absolutely critical. Given some of the things that you and I mentioned a few minutes ago in terms of the explosion of ransomware, which hopefully in our remote, remote work hybrid environment, as more technologies like this come out from Dell technologies and its partners, we'll start to see those ransomware numbers go down. Lastly, I want you to just restate, you mentioned a URL where folks can go to learn more information. Now you've got several different links to point folks to, can you go ahead and remind us what those are again? >>Yes, absolutely. I mean, uh, the easiest you are to go to is Dell technologies slash flower scale. I mean, if you're, that's a one-to-one URL and I'd like you to remember, once you go there, there'll be videos, articles, blogs, and you can, uh, look through a much going and then whatever you want from them. >>Excellent contract. Thank you for joining me today. Talking to me about what's new with power scale, congratulations on the completion of the refresh, a lot of new capabilities and, and, uh, technologies that your customers, existing Isilon and feature perspective, power scale customers are going to be able to take advantage of, look forward to hearing in the next few months in customer success stories. Thanks for your time. Thank >>You >>For Casha gauche. I'm Lisa Martin. You're watching a cube conversation.

>>Hi, Lisa Martin here with the cube. You're watching our coverage of Dell technologies world. The digital virtual experience. I've got two guests with me here today. We're going to be talking about the university of Piza and how it is leaning into all flash data lakes powered by Dell technologies. One of our alumni is back MERITO, Debbie, and the CTO of the university of PISA. Maricio welcome back to the cube. Thank you. Very excited to talk to you today. CAUTI Gosha is here as well. The director of product management at Dell technologies. Kaushik. Welcome to the cube. Thank you. So here we are at this virtual event again, Maricio you were last on the cube at VMworld a few months ago, the virtual experience as well, but talk to her audience a little bit before we dig into the technology and some of these demanding workloads that the university is utilizing. Talk to me a little bit about your role as CTO and about the university. >>So my role as CTO at university of PISA is, uh, uh, regarding the, uh, data center operations and, uh, scientific computing support for these, the main, uh, occupation that, uh, that, uh, yeah. Then they support the world, saw the technological choices that university of PISA is, uh, is doing, uh, during the latest, uh, two or three years. >>Talk to me about some, so this is a, in terms of students we're talking about 50,000 or so students 3000 faculty and the campus is distributed around the town of PISA, is that correct? Maricio >>Uh, the university of PISA is sort of a, uh, town campus in the sense that we have 20 departments that are, uh, located inside the immediate eval town, uh, but due to the choices, but university of peace, I S uh, the, uh, last, uh, uh, nineties, uh, we are, uh, owner of, uh, of a private fiber network connecting all our, uh, departments and allow the templates. And so we can use the town as a sort of white board to design, uh, uh, new services, a new kind of support for teaching. Uh, and, uh, and so, >>So you've really modernized the data infrastructure for the university that was founded in the middle ages. Talk to me now about some of the workloads and that are generating massive amounts of data, and then we'll get into what you're doing with Dell technologies. >>Oh, so the university of PISA as a, uh, quite old on HPC, traditional HPC. So we S we are supporting, uh, uh, the traditional workloads from, uh, um, CAE or engineering or chemistry or oil and gas simulations. Uh, of course it during, uh, uh, the pandemic year, last year, especially, uh, we have new, uh, kind of work you'll scan, uh, summer related, uh, to the, uh, fast movement of the HPC workload from let's say, traditional HPC to AI and machine learning. And those are the, um, request that you support a lot of remote activities coming from, uh, uh, uh, distance learning, uh, to remote ties, uh, uh, laboratories or stations or whatever, most elder in presence in the past. And so the impact either on the infrastructure or, and the specialty and the storage part was a significant. >>So you talked about utilizing the high performance computing environments for awhile and for scientific computing and things. I saw a case study that you guys have done with Dell, but then during the pandemic, the challenge and the use case of remote learning brought additional challenges to your environment from that perspective, how, how were you able to transfer your curriculum to online and enable the scientists, the physicists that oil and gas folks doing research to still access that data at the speed that they needed to, >>Uh, you know, for what you got, uh, uh, uh, distance learning? Of course. So we were, uh, based on the cloud services were not provided internally by Yas. So we lie, we based on Microsoft services, so Google services and so on, but what regards, uh, internal support, uh, scientific computing was completely, uh, remote dies either on support or experience, uh, because, uh, I can, uh, I, can I, uh, bring some, uh, some examples, uh, for example, um, laboratory activities, uh, we are, the access to the laboratories, uh, was the of them, uh, as much as possible. Uh, we design a special networker to connect all the and to give the researcher the possibility of accessing the data on visit special network. So as sort of a collector of data, uh, inside our, our university network, uh, you can imagine that the, uh, for example, was, was a key factor for us because utilization was, uh, uh, for us, uh, and flexible way to deliver new services, uh, in an easy way, uh, especially if you have to, uh, have systems for remote. So, as, as I told you before about the, uh, network, as well as a white board, but also the computer infrastructure, it was VM-ware visualization and treated as a, as a sort of what we were designing with services either, either for interactive services or especially for, uh, scientific computing. For example, we have an experience with it and a good polarization of HPC workload. We start agents >>Talk to me about the storage impact, because as we know, we talk about, you know, these very demanding, unstructured workloads, AI machine learning, and that can be, those are difficult for most storage systems to handle the radio. Talk to us about why you leaned into all flash with Dell technologies and talk to us a little bit about the technologies that you've implemented. >>So, uh, if I, if I have to think about our, our storage infrastructure before the pandemic, I have to think about Iceland because our HPC workloads Moss, uh, mainly based off, uh, Isilon, uh, as a storage infrastructure, uh, together with some, uh, final defense system, as you can imagine, we were deploying in-house, uh, duty independently, especially with the explosion of the AI, with them, uh, blueprint of the storage requests change the law because of what we have, uh, uh, deal dens. And in our case, it was an, I breathed the Isilon solution didn't fit so well for HB for AI. And this is why we, uh, start with the data migration. That was, it was not really migration, but the sort of integration of the power scaler or flash machine inside our, uh, environment, because then the power scale, all flesh and especially, uh, IO in the future, uh, the MVME support, uh, is a key factor for the storage. It just support, uh, we already have experience as some of the, uh, NBME, uh, possibilities, uh, on the power PowerMax so that we have here, uh, that we use part for VDI support, uh, but off, um, or fleshly is the minimum land and EME, uh, is what we need to. >>Gotcha. Talk to me about what Dell technologies has seen the uptick in the demand for this, uh, as Maricio said, they were using Isilon before adding in power scale. What are some of the changing demands that, that Dell technologies has seen and how does technologies like how our scale and the F 900 facilitate these organizations being able to rapidly change their environment so that they can utilize and extract the value from data? >>Yeah, no, absolutely. What occupational intelligence is an area that, uh, continues to amaze me. And, uh, personally I think the, the potential here is immense. Um, uh, as Maurizio said, right, um, the, the data sets, uh, with artificial intelligence, I have, uh, grown significantly and, and not only the data has become, um, uh, become larger the models, the AI models that, that we, that are used have become more complex. Uh, for example, uh, one of the studies suggests that, uh, the, uh, that for a modeling of, uh, natural language processing, um, uh, one of the fields in AI, uh, the number of parameters used, could exceed like about a trillion in, uh, in a few years, right? So almost a size of a human brain. So, so not only that means that there's a lot of fear mounted to be, uh, data, to be processed, but, uh, by, uh, the process stored in yesterday, uh, but probably has to be done in the same amount of Dinah's before, perhaps even a smaller amount of time, right? So a larger data theme time, or perhaps even a smaller amount of time. So, absolutely. I agree. I mean, those type of, for these types of workloads, you need a storage that gives you that high-performance access, but also being able to store the store, that data is economically. >>And how does Dell technologies deliver that? The ability to scale the economics what's unique and differentiated about power skill? >>Uh, so power scale is, is, is our all flash, uh, system it's, uh, it's, uh, it's bad users, dark techno does some of the same capabilities that, uh, Isilon, um, products use used to offer, uh, one of his fault system capabilities, some of the capabilities that Maurizio has used and loved in the past, some of those, some of those same capabilities are brought forward. Now on this spar scale platform, um, there are some changes, like for example, on new Parscale's platform supports Nvidia GPU direct, right? So for, uh, artificial intelligence, uh, workloads, you do need these GPU capable machines. And, uh, and, uh, Parscale supports that those, uh, high high-performance Jupiter rec machines, uh, through, through the different technologies that we offer. And, um, the Parscale F 900, which should, which we are going to launch very soon, um, um, is, is, is our best hype, highest performance all-flash and the most economic allowed slash uh, to date. So, um, so it is, um, it not only is our fastest, but also offers, uh, the most economic, uh, most economical way of storing the data. Um, so, so ideal far for these type of high-performance workloads, like AIML, deep learning and so on. Excellent. >>So talk to me about some of the results that the university is achieving so far. I did read a three X improvement in IO performance. You were able to get nearly a hundred percent of the curriculum online pretty quickly, but talk to me about some of the other impacts that Dell technologies has helping the university to achieve. >>Oh, we had, uh, we had an old, uh, in all the Dell customer, and if you, uh, give a Luca walk, we have that inside the insomnia, our data centers. Uh, we typically joking, we define them as a sort of, uh, Dell technologies supermarket in the sense that, uh, uh, degreed part of our, our servers storage environment comes from, uh, from that technology said several generations of, uh, uh, PowerEdge servers, uh, uh, power, my ex, uh, Isaac along, uh, powers, Gale power store. So we, uh, we are, uh, um, using a lot of, uh, uh, Dell technologies here, here, and of course, uh, um, in the past, uh, our traditional, uh, workloads were well supported by that technologies. And, uh, Dell technologies is, uh, uh, driving ourselves versus, uh, the, what we call the next generation workloads, uh, because we are, uh, uh, combining gas, uh, in, um, in the transition of, uh, um, uh, the next generation of computing there, but to be OPA who, uh, to ask here, and he was walked through our research of looking for, cause if I, if I have to, to, to, to give a look to what we are, uh, doing, uh, mostly here, healthcare workloads, uh, deep learning, uh, uh, data analysis, uh, uh, image analysis in C major extraction that everything have be supported, especially from, uh, the next next generation servers typically keep the, uh, with, with GPU's. >>This is why GPU activities is, is so important for answer, but also, uh, supported on the, on the, on the networking side. But because of that, the, the, the speed, the, and the, of the storage, and must be tired to the next generation networking. Uh, low-latency high-performance because at the end of the day, you have to, uh, to bring the data in storage and DP. Can you do it? Uh, so, uh, they're, uh, one of the low latency, uh, uh, I performance, if they're connected zones is also a side effect of these new work. And of course that the college is, is, is. >>I love how you described your data centers as a Dell technologies supermarket, maybe a different way of talking about a center of excellence question. I want to ask you about, I know that the university of PISA is SCOE for Dell. Talk to me about in the last couple of minutes we have here, what that entails and how Dell helps customers become a center of excellence. >>Yeah, so Dell, um, like talked about has a lot of the Dell Dell products, uh, today, and, and, and in fact, he mentioned about the pirate servers, the power scale F 900 is, is actually based on a forehead server. So, so you can see, so a lot of these technologies are sort of in the linked with each other, they talk to each other, they will work together. Um, and, and, and that sort of helps, helps customers manage the entire, uh, ecosystem lifecycle data, life cycle together, versus as piece parts, because we have solutions that solve all aspects of, of, of the, uh, of, of, uh, of our customer like Mauricio's needs. Right. So, um, so yeah, I'm glad Maurizio is, is leveraging Dell and, um, and I'm happy we are able to help help more issue or solve solve, because, uh, all his use cases, uh, and UN >>Excellent. Maricio last question. Are you going to be using AI machine learning, powered by Dell to determine if the tower of PISA is going to continue to lean, or if it's going to stay where it is? >>Uh, the, the, the leaning tower is, uh, an engineering miracle. Uh, some years ago, uh, an engineering, uh, incredible worker, uh, was able, uh, uh, to fix them. They leaning for a while and let's open up the tower visa, stay there because he will be one of our, uh, beauty that you can come to to visit. >>And that's one part of Italy I haven't been to. So as pandemic, I gotta add that to my travel plans, MERITO and Kaushik. It's been a pleasure talking to you about how Dell is partnering with the university of PISA to really help you power AI machine learning workloads, to facilitate many use cases. We are looking forward to hearing what's next. Thanks for joining me this morning. Thank you for my guests. I'm Lisa Martin. You're watching the cubes coverage of Dell technologies world. The digital event experience.

>>Welcome back to Dell Technology World. 2021. Del Tech World. The virtual edition. My name is Dave Volonte. We're gonna talk about the Edge. Very excited to invite Pierluigi Deli, who's the Vice President, Product management for the Edge portfolio. Adele and Gil Schwarzman, who is the Senior Vice President. Edge portfolio, also with Dell Technologies Gentlemen. Great to see you. Welcome to the cube. >>Thank you. Thank >>you. You see you, >>Yeah, great to see you guys to which we were face to face, but maybe maybe in 22 Gil, let's start with you. The edge is very exciting. Uh, it's, you know, not really defined, it's very fragmented, but it's there, you know, it's kind of, you know, it when you see it, what do you get excited about when you think about the edge? >>Yeah, I think uh there's two elements. The first one is that we all live at the edge. In other words, the areas we deal with our around us every day will show up um when we uh, you know, when we consume when we drive. So it's a, it's a very physical type of activity. We know it's there. What's really exciting motive to me is that you started with talking about fragmentation right on the bet. Um, it is a great opportunity for the technology is to add value um because it's so fragmented because it's so new because it has developed and evolved the way it is. We see an amazing opportunity for us to add much more value than we do today and solve problems that have yet to be solved in the industry. >>And it's an exciting, it's almost like an infinite playground for a technologist. You >>dave, I think that's exactly what we find out. The Edge is very exciting. There is a lot of motion, especially due to the pandemic and other things. Big factor that accelerate innovation at the edge but this is an inorganic acceleration and what it kills for one of the most of our customer is also confusion, right? They need to apply multiple solution but not very organized. So you try to solve the outcome like having the right production on the, on your line because demand is surging but you don't have an organic things to do that and solve the problem. So you see a lot of silence coming in for each one of the solution and that's what Gil was referring. That's a great opportunity for us as dealt with the breath of the portfolio we have and what our team that is a new team is focusing doing is to bring that idea to be able to consolidate multiple things at the edge and process things at the edge. >>We did a an event cube, had an event called the Cuban cloud and Q one and we had john Rosen and the title of segment was something like gaining the technology edge And we were kind of freaking out on, on the tech at the edge. Uh it might take away there was trying to like what is the edge? It's like, well it's the place where it makes most sense to process the data and so that brings up a lot of challenges. There are technical challenges and there are business challenges. I wonder if we could sort of dig into those a little bit. How do you guys look at that? Maybe gil you want to start maybe on the business side and then we can dig a short, right >>the way things evolved if you think about it, um, at the edge of very vertical lesson because of that they're very use case driven And so in every industry possible you start with some business person making a decision whether they have a need or they want to grow their business. And so for example they would buy an applying to do fraud protection in retail or detection retail or they will apply an application to medical robotics in the factory. And it would come with its own gateway in plant compute in a cloud portal and then you do it again and again and again every time you have a business opportunity all of the sudden you have this proliferation of I. T. Type equipment at the end where it's it's the worst place to have it really because you don't have the right I. T. Resources and you are um in the need to protect it in a much more um in a different way than you do in a data center. And so all of that brings to bring us to a point that you know we see an opportunity to simplify. Um And so not only simplification and this is you know simplification or simplicity is the most important driver for any I. T. Purchase. Um Things that are simple are the easiest that the most economical to operate the next demand that we see from a customary security because things are at the they have a much more um you know extended attack surface um they need to be connected to networks, they need to be connected without I. T. Staff. So if you can simplify insecure you can really unlock amazing value by processing data where closely to where it's created without it. You know we were seeing this opportunity as businesses but we can we get to it because there are so those two hurdles in front of us. >>So when you say thank you for that bill, when you think about, when you hear you hear a lot about AI influencing at the edge and and if you think about AI today much of the work is modeling, it's done in the cloud, but you're not going to be doing A i influencing in real time in the cloud, you know, take the autonomous vehicle example, so that brings some some technical challenges. Um, there's obviously data challenges. I'm curious as to how you think about that. I mean we always talk about how much data is going to be persisted, I think Tesla persists like five minutes of data, right? But some of it is gonna go back, that's true, but a lot of it is going to be processed real time and that's just really different than the way we typically think about. Yeah, >>absolutely. So at the Edge, especially in manufacturing, we see right now or in a uh, another use case, it's very important to get the outcome very quickly. Now. You don't use that a deep learning model for that. You need to just understand, for example, in a computer vision use case where you take the image of your production line, you actually to your point dave you not keep those image when you keep the image where you have the defect. But you need to process that. Ai Ml needs to be intelligent enough to understand that you have a defect and send that image them to the club. So the search of the data at the edge is a very important factor and why you need to process data, the Edge because your point, you can't wait to send to the cloud and I'm waiting right? Um, Tesla is a clear example of that all the autonomous car where you need to react instantaneously to change. But in manufacturing for example that is our focus for now is for example the robots that if you need to optimize the robot, you need to have a immediate understanding of where the pieces are and when they need to put in the tolerance need to be act immediately. Otherwise you come out with the thousands of pieces that they are not in the right tolerance. So at the end of the day, what we see is not only the search of the need of processing ai ml to the edge but also the need of a new type of compute at the edge. So in the past was just Gateway and you get the gate when you send the data to the cloud. Now it's a form of a new computer that come as also GPU capability and other things to process the data. So very important. And I think the Dell especially we are very focused on that because is uh is really where the customer need to extract the value. >>Thank you. And Gil I want to get into the unique value proposition to tell what makes you distinct. And it's uh I infer from your comments, your strategy you said is to simplify and so I see two vectors. There. One is to simplify at the edge. The other is to where we're needed, connect that edge, whether it's on prem public cloud across cloud, that kind of simplification layer that abstracts the complex, the underlying complexity. Uh Maybe you could talk about your strategy and what makes you guys different. >>Sure. Um We've been talking to a, well we always talk to our customers and we've been doing business at the edge for many many years. Um You know let's call it coincidental were very large company we have reached, we serve our customers so when they decide to buy something for their you know environment, they come to us as well as other vendors and we win a percentage of the time based on our market share. Um But when we decided to take another look at how can we be even more relevant? We started talking to a lot of them great depth. And what would we do we discovered was the problem I talked about before, the problem of complexity, the problem of security and the problem of you know choice. And so our focus is to do what we do best. We at the end of the day we're an I. T. Company. Um and our our customers for the most part our I. T. People and we see them dragged more and more into edge projects because customers need to connect edge to the network and they need to security and that's how it starts. And so those worlds of I. T. And OTR coming together and their coming together applying best practices which is exactly what we know how to do. And so because of that we think that they need to think about architecture versus unique silent solutions architecture can support multiple use cases that can grow with time, consolidate more and more use cases as they grow. Simplify what they do by applying you know tried and true or tried and true best practices in a secure manner. So the deal approach would be doing that taking a more architectural approach to the adverse as a use case and then just like you predicted um meet the customers where they are from an application stand book. And so we we know that a lot of applications are growing and development on a hyper scale or public clouds. We would like to connect to those. We would like to allow them to keep working as they have except when they run into the edge. Think about environments that could consolidate multiple workloads and not solve it for each one at the same time. And so that would be our overall approach. That's what we're working on. >>Yeah. Okay. So that horizontal layer, if you will uh to to to serve many many use cases, not just you're not gonna go a mile deep into one and be the expert at some narrow use case. You want to be that horizontal platform. But at the same time, look, I wonder does does that call for more program ability as we over time of the of the products to to really allow people to kind of design in that flexibility if you will build my own. Uh is that something that we can expect? >>Yeah, absolutely. So uh we spoke a little bit about this before the interview and the things that is very important is compose ability starting from a very small from factor to the cluster and then expand to the cloud is a fundamental things and a trend that we see. The fact that you can compose the infrastructure um starting from a small gateway that is changing in this market, right up to the cloud and be able to use the same layer that allow you to run the same application is the fundamental things and we are working on that. Um we are working on this vision and our strategy is really to be able to be transparent but provide the right building block to do all the use case that they are required where the data are. So we again, not only meeting the customer but meeting where the data are, what the customer wants out of those data. So that's a fundamental things. And you know, we we have project Apex. So obviously we are plugging into the project apex from an edge point of view, will allow the customer to have this unique experience to go in Apex and also deploy the edge infrastructure that is needed. So that's that's we started right now with that. So we will touch later, but that's the first building block of that journey. >>Actually, let's touch now you've got some news around Apex and and and and talking what are you announcing? So >>we are very exciting because as I said, our team is, it's pretty new and um, it's a very important investment that Dell makes uh not only in us as a team but as a motion. Um, so we are announcing a reference architecture with PTC. PTC is the one of the biggest company for actually based here in boston uh for manufacturing and reference architecture will be run on based on apex private cloud so the customer can go to the portal, order, order apex private cloud and deploy deploy PTC on top of that. So, very important things is that the first step in this journey and but it's an important, very, very important steps. So we want to thank you also PTC to allow us to work with them. Um, we have other stuff as well that we are announcing. Um, I don't know if you are familiar but we have a very unique streaming data platform, um, streaming data platform that can stream multiple data collected from Gateway from every place. And uh it's a need obviously when you need to process data in real time, very important to have a streaming, what we're doing with the new streaming data platform approach is the ability to deploy single note. So it can be very appealing for the edge and up to free notes and last but not least gil if you want to speak about our other partnership is very important. >>Sure. Um once we started looking more in depth into manufacturing, we discover that this market is today served by combinations of um oT vendors, people who make equipment? S eyes, people who consult on integration and um and you know, a lot of SVS that make up this ecosystem and people like ourselves. And so one of the things that we decided to do is partner with accenture, accenture Industry X practice to bring our joint value to customers. We started by investing in in a five G lab. They have four industry act. So you know the usage of five G. Manufacturing industry and we will still we will expand that and work on that as a as a joint offer for our joint customers going forward. So we're really excited about this because we feel that consolidation needs to happen not only technology but also in the partnerships, we need to partner if you want to bring true value to our customers and that's the first step, >>awesome. That's great. So a couple of comments on that. So it's funny, we did the live work show in the cube a couple years ago. PTC is a big, big event and it was like it was the edge and I remember looking around saying where's all the vendors? So that's great to see you guys leaning in like that parallel to the streaming platform. Tell me more about that. What's the tech behind it? >>Uh So the streaming data platform is a project that we start a couple of years ago is actually uh start from open source Provida. Um it's uh it's a very interesting technology where you can stream multiple data, it is not a traditional storage, ah use a technology that can ah really collect thousands of different streams and that's very important when you need to mind the data, bring the data um in the structure data in a inefficient that you, you can process them at the real time. It's very important. So um there are very cool use case of that. But now that we look at the edge, this is make more and more tangible sense because we have a lot of partners that they're working with us, especially to extend when you have all this sensor, you bring the data to the gateways and from the gateways then you can use data streaming platform to collect all these dreams and then you can easily process them. So it's a very fundamental technology, we are very proud of that. Um as I said, our enterprise version uh is getting more and more and now we can land this on different architecture, so it is, it can be backed up by an Iceland. Uh it can be also on different storage type now and as I said, we're looking now to bring from a what was a data center kind of structure down to the edge because now we can put a single node up to three notes, >>it makes a lot of sense. Is this like a Kafka based thing or open source or is it something you guys built or a combination? >>It's a combination. We actually project. The project is an open source project, but we did that, we start this many years ago and um he works with Kafka, but he's not Kafka. So it's, it's a he has plugging that can work with Kafka and all the other things and, and it's very easy to deploy. So it's a very, very, very important. And the other things is the scalability of this platform. >>I mean, it sounds like the kind of thing you had in the labs and you said, OK, this is going to be important. That boom all of a sudden the market comes to you as if you pop it right in. And then of course, the accenture of relationship deep, deep industry expertise, so that makes a lot of sense. 55 Gs happening a different world the next 10 years in the last 10 years isn't it? What is it about manufacturing? Why why did you start there? >>I can take this. Um We looked at where the opportunity was from two perspectives. One is where the opportunity, what the opportunities to sell, even the other one obviously comes with it because there is an opportunity to have and manufacturing today at the edges about 30 of the opportunity in sales according to NBC but more so it's been around for the longer time and so they it's very it's maturing um it's the most demanding. Um and you know, it's got very long horizons of investment and what we did was we figured that if we can solve problems for industry we can then extend that and solving for everyone years. Because this would be the toughest one to solve and we like challenge. And so we decided to focus and go deep. You said it before? Well, our approach is definitely horizontal approach. We cannot take a horizontal approach without vertical izing and understand specific needs. So nobody can avoid doing both at the same time. You need to understand. But you also want to solve it in a way that doesn't proliferate the silos. So that's our role. We will understand what we will make it more generic so other people can never get later on >>and David, if I cannot. Uh I think the manufacturing is also very exciting for us as a technologist, right? Uh and uh Dell technology as in the name the technology. So it's very exciting because if I look at manufacturing, we we are really in the middle of a industrial transformation. I mean it's a new era. Um If you think about um nobody care in the past to connect their machinery with that the F. P. L. C. To the network. All of this is changing because the life that where we live right now with the pandemic with the remote working with the fact that you need to have a much more control and be able to have predictive matters. So you're not stopping your manufacturing is pushing the entire manufacturing instrument industry to connect this machine and with the connectivity of this machinery you get a lot of data. You get also a lot of challenge. For example security. So now that's the place where connectivity brings the I. T. Aspect in and U. T. Guys now they're starting to speak with because now it's a more complex things right? It's not any more computerized competitor eyes only to one machinery specific is the entire floor. So it's a very interesting dynamics >>is the connection between that programmable logic controller and the Dell solution is you mentioned to secure better security and I presume it's also to connect back to whatever the core or the cloud etcetera. Is it also to do you know, something locally? Does it improve? Is their value add that you can provide locally? And what is that value add? >>Absolutely. So the value, as I said, um if you think right in the past right, you have a machine that uh, probably stay in the manufacturing for 2025 years, then you have an artwork attached to that machine that it is the P. L. C. About 11 years. The guy that he knows better about that machine is actually not the software component on. But he's the guy that has been working on that machine for 15 years now. How you translate that knowledge To a learning algorithm that actually can do that 4000 of machine. And and that's really the key right. You need to centralize information, process those information but not in the cloud, not in the central data center, but on the manufacturing floor. And you need to have a way to represent these things in a very simple way. So the plant manager can take action or the or the guy that is responsible for the entire line can take action immediately. And that's where the changes is not anymore to is trying to extend that knowledge to multiple machine multiple floor and try to get this change immediately. So that's really >>so the PLC doesn't become a general purpose computer or even necessarily the Uber computer. It connects to that capability because that enables data sharing across clouds and that's >>enabled the entire things. You know, you you can't do a model just with one source. You need to have multiple sources. Um, and also think about the manufacturing is changing not only for the machinery, but people that they build new manufacturing right? They need to be smart building. They need to have a technology for being more green solar energy consumption. So the manufacturing itself is mean five or six different things that you need to solve. It's not just the machine. So this idea of the silence environment is started to collapse in one and that's why it's important for us to start from a vertical, but also in the manufacturing, you already see this will expand to multiple things. Also like smart building another thing because they need it. >>Yeah. The red guilt to your point manufacturers like the Big Apple. If you can make it there, you can make it anywhere and you've got adjacent seas, you can, you know, you can take the learnings from manufacturing and apply them to those adjacent industries. Uh, give us the last word. >>Um, look, usually when we talk at the technologies world, we talked to an I. D. Audience and we were, we're thinking this year that the way to talk about edge, at least with the people who traditionally buy from us is exposed them to the fact that they are more and more are going to be responsible for projects. And so our advice would be our hope that they would partner with us to think ahead. Just like they do with data center with their cloud strategy, think ahead as they think about their edge and try to set up some architectural guidelines. So when they do get the request, they're ready for it and think about what they think about the best practices that they applied, all of that is coming to them. They need to be prepared as well. And so we would like to partner with all of our customers to make them ready and obviously help them simplify secure, consolidate as they grow. >>Well guys, thank you, I learned a lot today. I you made a lot of progress. You know, this is the hallmark of Dell, right? It's a very high, let me make sure I get this right, very high due to say ratio right. You guys talked about doing this, you know, a couple a couple of years ago, uh, and you've made a lot of progress and I really appreciate you coming in the cube to explain the strategy. It makes a lot of sense. And so congratulations and uh, good luck in the future. >>Thank you. >>All right. And thank you for watching everybody. This is Dave Volonte for the cubes, ongoing coverage of Del Tech World 2021. The virtual edition. Keep it right there, right back, >>mm.

(upbeat music) >> Hello, and welcome to The Great Cloud Debate. I'm your moderator Rachel Dines. I'm joined by two debaters today Corey Quinn, Cloud Economist at the Duckbill Group and Stu Miniman, Senior Analyst and Host of theCube. Welcome Corey and Stu, this when you can say hello. >> Hey Rachel, great to talk to you. >> And it's better to talk to me. It's always a pleasure to talk to the fine folks over at CloudHealth at by VMware and less of the pleasure to talk to Stu. >> Smack talk is scheduled for later in the agenda gentlemen, so please keep it to a minimum now to keep us on schedule. So here's how today is going to work. I'm going to introduce a debate topic and assign Corey and Stu each to a side. Remember, their assignments are what I decide and they might not actually match their true feelings about a topic, and it definitely does not represent the feelings of their employer or my employer, importantly. Each debater is going to have two minutes to state their opening arguments, then we'll have rebuttals. And each round you the audience gets to vote of who you think is winning. And at the end of the debate, I'll announce the winner. The prize is bragging rights of course, but then also we're having each debater play to win lunch for their local hospital, which is really exciting. So Stu, which hospital are you playing for? >> Yeah, so Rachel, I'm choosing Brigham Women's Hospital. I get a little bit of a home vote for the Boston audience here and was actually my wife's first job out of school. >> Great hospital. Very, very good. All right, Corey, what about you? >> My neighbor winds up being as specialist in infectious diseases as a doctor, and that was always one of those weird things you learn over a cocktail party until this year became incredibly relevant. So I will absolutely be sending the lunch to his department. >> Wonderful! All right. Well, is everyone ready? Any last words? This is your moment for smack talk. >> I think I'll say that for once we can apply it to a specific technology area. Otherwise, it was insulting his appearance and that's too easy. >> All right, let's get going. The first topic is multicloud. Corey, you'll be arguing that companies are better off standardizing on a single cloud. While Stu, you're going to argue the companies are better off with a multicloud strategy. Corey, you're up first, two minutes on the clock and go. >> All right. As a general rule, picking a single provider and going all in leads to the better outcome. Otherwise, you're trying to build every workload to run seamlessly on other providers on a moment's notice. You don't ever actually do it and all you're giving up in return is the ability to leverage whatever your primary cloud provider is letting you build. Now you're suddenly trying to make two differently behaving load balancers work together in the same way, you're using terraform or as I like to call it multicloud formation in the worst of all possible ways. Because now you're having to only really build on one provider, but all the work you're putting in to make that scale to other providers, you might theoretically want to go to at some point, it slows you down, you're never going to be able to move as quickly trying to build for everyone as you are for one particular provider. And I don't care which provider you pick, you probably care which one you pick, I don't care which one. The point is, you've got to pick what's right for your business. And in almost every case, that means start on a single platform. And if you need to migrate down the road years from now, great, that means A you've survived that long, and B you now have the longevity as a business to understand what migrating looks like. Otherwise you're not able to take care of any of the higher level offerings these providers offer that are even slightly differentiated from each other. And even managed database services behave differently. You've got to become a master of all the different ways these things can fail and unfortunate and displeasing ways. It just leaves you in a position where you're not able to specialize, and of course, makes hiring that much harder. Stu, fight me! >> Tough words there. All right, Stu, your turn. Why are companies better off if they go with a multicloud strategy? Got two minutes? >> Yeah, well first of all Corey, I'm really glad that I didn't have to whip out the AWS guidelines, you were not sticking strictly to it and saying that you could not use the words multicloud, cross-cloud, any cloud or every cloud so thank you for saving me that argument. But I want you to kind of come into the real world a little bit. We want access to innovation, we want flexibility, and well, we used to say I would have loved to have a single provider, in the real world we understand that people end up using multiple solutions. If you look at the AI world today, there's not a provider that is a clear leader in every environment that I have. So there's a reason why I might want to use a lot of clouds. Most companies I talked to, Corey, they still have some of their own servers. They're working in a data center, we've seen huge explosion in the service provider world connecting to multiple clouds. So well, a couple of years ago, multicloud was a complete mess. Now, it's only a little bit of a mess, Corey. So absolutely, there's work that we need to do as an industry to make these solutions better. I've been pining for a couple years to say that multicloud needs to be stronger than the sum of its pieces. And we might not yet be there but limiting yourself to a single cloud is reducing your access to innovation, it's reducing your flexibility. And when you start looking at things like edge computing and AI, I'm going to need to access services from multiple providers. So single cloud is a lovely ideal, but in the real world, we understand that teams come with certain skill sets. We end up in many industries, we have mergers and acquisitions. And it's not as easy to just rip out all of your cloud, like you would have 20 years ago, if you said, "Oh, well, they have a phone system or a router "that didn't match what our corporate guidelines is." Cloud is what we're doing. There's lots of solutions out there. And therefore, multicloud is the reality today, and will be the reality going forward for many years to come. >> Strong words from you, Stu. Corey, you've got 60 seconds for rebuttal. I mostly agree with what you just said. I think that having different workloads in different clouds makes an awful lot of sense. Data gravity becomes a bit of a bear. But if you acquire a company that's running on a different cloud than the one that you've picked, you'd be ridiculous to view migrating as anything approaching a strategic priority. Now, this also gets into the question of what is cloud? Our G Suite stuff counts as cloud, but no one really views it in that way. Similarly, when you have an AI specific workload, that's great. As long as it isn't you seriously expensive to move data between providers. That workload doesn't need to live in the same place as your marketing website does. I think that the idea of having a specific cloud provider that you go all in on for every use case, well, at some point that leads to ridiculous things like pretending that Amazon WorkDocs has customers, it does not. But for things that matter to your business and looking at specific workloads, I think that you're going to find a primary provider with secondary workloads here and they're scattered elsewhere to be the strategy that people are getting at when they use the word multicloud badly. >> Time's up for you Corey, Stu we've got time for rebuttal and remember, for those of you in the audience, you can vote at any time and who you think is winning this round. Stu, 60 seconds for a rebuttal. >> Yeah, absolutely Corey. Look, you just gave the Andy Jassy of what multicloud should be 70 to 80% goes to a single provider. And it does make sense we know nobody ever said multicloud equals the same amount in multiple environments but you made a clear case as to why multicloud leveraging multi providers is likely what most companies are going to do. So thank you so much for making a clear case as to why multicloud not equal cloud, across multiple providers is the way to go. So thank you for conceding the victory. >> Last Words, Corey. >> If that's what you took from it Stu, I can't get any closer to it than you have. >> All right, let's move on to the next topic then. The next topic is serverless versus containers which technology is going to be used in, let's say, five to 10 years time? And as a reminder, I'm going to assign each of the debaters these topics, their assignments may or may not match their true feelings about this topic, and they definitely don't represent the topics of my employer, CloudHealth by VMware. Stu, you're going to argue for containers. Corey you're going to argue for start serverless. Stu, you're up first. Two minutes on the clock and go. >> All right, so with all respect to my friends in the serverless community, We need to have a reality check as to how things work. We all know that serverless is a ridiculous name because underneath we do need to worry about all of the infrastructure underneath. So containers today are the de facto building block for cloud native architectures, just as the VM defined the ecosystem for an entire generation of solutions. Containers are the way we build things today. It is the way Google has architected their entire solution and underneath it is often something that's used with serverless. So yes, if you're, building an Alexa service, serverless make what's good for you. But for the vast majority of solutions, I need to have flexibility, I need to understand how things work underneath it. We know in IT that it's great when things work, but we need to understand how to fix them when they break. So containerization gets us to that atomic level, really close to having the same thing as the application. And therefore, we saw the millions of users that deploy Docker, we saw the huge wave of container orchestration led by Kubernetes. And the entire ecosystem and millions of customers are now on board with this way of designing and architecting and breaking down the silos between the infrastructure world and the application developer world. So containers, here to stay growing fast. >> All right, Corey, what do you think? Why is serverless the future? >> I think that you're right in that containers are the way you get from where you were to something that runs effectively in a cloud environment. That is why Google is so strongly behind Kubernetes it helps get the entire industry to write code the way that Google might write code. And that's great. But if you're looking at effectively rewriting something from scratch, or building something that new, the idea of not having to think about infrastructure in the traditional sense of being able to just here, take this code and run it in a given provider that takes whatever it is that you need to do and could loose all these other services together, saves an awful lot of time. As that continues to move up the stack towards the idea of no code or low code. And suddenly, you're now able to build these applications in ways that require just a little bit of code that tie together everything else. We're closer than ever to that old trope of the only code you write is business logic. Serverless gives a much clearer shot of getting there, if you can divorce yourself from the past of legacy workloads. Legacy, of course meaning older than 18 months and makes money. >> Stu, do you have a rebuttal, 60 seconds? >> Yeah. So Corey, we've been talking about this Nirvana in many ways. It's the discussion that we had for paths for over a decade now. I want to be able to write my code once not worry about where it lives, and do all this. But sometimes, there's a reason why we keep trying the same thing over and over again, but never reaching it. So serverless is great for some application If you talked about, okay, if you're some brand new webby thing there and I don't want to have to do this team, that's awesome. I've talked to some wonderful people that don't know anything about coding that have built some cool stuff with serverless. But cool stuff isn't what most business runs on, and therefore containerization is, as you said, it's a bridge to where I need to go, it lives in these cloud environments, and it is the present and it is the future. >> Corey, your response. >> I agree that it's the present, I doubt that it's the future in quite the same way. Right now Kubernetes is really scratching a major itch, which is how all of these companies who are moving to public cloud still I can have their infrastructure teams be able to cosplay as cloud providers themselves. And over time, that becomes simpler and I think on some level, you might even see a convergence of things that are container workloads begin to look a lot more like serverless workloads. Remember, we're aiming at something that is five years away in the context of this question. I think that the serverless and container landscape will look very different. The serverless landscape will be bright and exciting and new, whereas unfortunately the container landscape is going to be represented by people like you Stu. >> Hoarse words from Corey. Stu, any last words or rebuttals? >> Yeah, and look Corey absolutely just like we don't really think about the underlying server or VM, we won't think about the containers you won't think about Kubernetes in the future, but, the question is, which technology will be used in five to 10 years, it'll still be there. It will be the fabric of our lives underneath there for containerization. So, that is what we were talking about. Serverless I think will be useful in pockets of places but will not be the predominant technology, five years from now. >> All right, tough to say who won that one? I'm glad I don't have to decide. I hope everyone out there is voting, last chance to vote on this question before we move on to the next. Next topic is cloud wars. I'm going to give a statement and then I'm going to assign each of you a pro or a con, Google will never be an actual contender in the cloud wars always a far third, we're going to have Corey arguing that Google is never going to be an actual contender. And Stu, you're going to argue that Google is eventually going to overtake the top two AWS and Azure. As a constant reminder, I'm assigning these topics, it's my decision and also they don't match the opinions of me, my employer, or likely Stu or Corey. This is all just for fun and games. But I really want to hear what everyone has to say. So Corey, you're up first two minutes. Why is Google never going to be an actual contender and go. >> The biggest problem Google has in the time of cloud is their ability to forecast longer term on anything that isn't their advertising business, and their ability to talk to human beings long enough to meet people where they are. We're replacing their entire culture is what it's going to take to succeed in the time of cloud and with respect, Thomas Kurian is a spectacular leader internally but look at where he's come from. He spent 22 years at Oracle and now has been transplanted into Google. If we take a look at Satya Nadella's cloud transformation at Microsoft, he was able to pull that off as an insider, after having known intimately every aspect of that company, and he grew organically with it and was perfectly positioned to make that change. You can't instill that kind of culture change by dropping someone externally, on top of an organization and expecting anything to go with this magic one day wake up and everything's going to work out super well. Google has a tremendous amount of strengths, and I don't see that providing common denominator cloud computing services to a number of workloads that from a Google perspective are horrifying, is necessarily in their wheelhouse. It feels like their entire focus on this is well, there's money over there. We should go get some of that too. It comes down to the traditional Google lack of focus. >> Stu, rebuttal? Why do you think Google has a shaft? >> Yeah, so first of all, Corey, I think we'd agree Google is a powerhouse in the world today. My background is networking, when they first came out with with Google Cloud, I said, Google has the best network, second to none in the world. They are ubiquitous today. If you talk about the impact they have on the world, Android phones, you mentioned Kubernetes, everybody uses G Suite maps, YouTube, and the like. That does not mean that they are necessarily going to become the clear leader in cloud but, Corey, they've got really, really smart people. If you're not familiar with that talk to them. They'll tell you how smart they are. And they have built phenomenal solutions, who's going to be able to solve, the challenge every day of, true distributed systems, that a global database that can handle the clock down to the atomic level, Google's the one that does that we've all read the white papers on that. They've set the tone for Hadoop, and various solutions that are all over the place, and their secret weapon is not the advertising, of course, that is a big concern for them, but is that if you talk about, the consumer adoption, everyone uses Google. My kids have all had Chromebooks growing up. It isn't their favorite thing, but they get, indoctrinated with Google technology. And as they go out and leverage technologies in the world, Google is one that is known. Google has the strength of technology and a lot of positioning and partnerships to move them forward. Everybody wants a strong ecosystem in cloud, we don't want a single provider. We already discussed this before, but just from a competitive nature standpoint, if there is a clear counterbalance to AWS, I would say that it is Google, not Microsoft, that is positioned to be that clear and opportune. >> Interesting, very interesting Stu. So your argument is the Gen Zers will of ultimately when they come of age become the big Google proponents. Some strong words that as well but they're the better foil to AWS, Corey rebuttal? >> I think that Stu is one t-shirt change away from a pitch perfect reenactment of Charlie Brown. In this case with Google playing the part of Lucy yanking the football away every time. We've seen it with inbox, Google Reader, Google Maps, API pricing, GKE's pricing for control plane. And when your argument comes down to a suddenly Google is going to change their entire nature and become something that it is as proven as constitutionally incapable of being, namely supporting something that its customers want that it doesn't itself enjoy working on. And to the exclusion of being able to get distracted and focused on other things. Even their own conferences called Next because Google is more interested in what they're shipping than what they're building, than what they're currently shipping. I think that it is a fantasy to pretend that that is somehow going to change without a complete cultural transformation, which again, I don't see the seeds being planted for. >> Some sick burns in there Stu, rebuttal? >> Yeah. So the final word that I'll give you on this is, one of the most important pieces of what we need today. And we need to tomorrow is our data. Now, there are some concerns when we talk about Google and data, but Google also has strong strength in data, understanding data, helping customers leverage data. So while I agree to your points about the cultural shift, they have the opportunity to take the services that they have, and enable customers to be able to take their data to move forward to the wonderful world of AI, cloud, edge computing, and all of those pieces and solve the solution with data. >> Strong words there. All right, that's a tough one. Again, I hope you're all out there voting for who you think won that round. Let's move on to the last round before we start hitting the lightning questions. I put a call out on several channels and social media for people to have questions that they want you to debate. And this one comes from Og-AWS Slack member, Angelo. Angelo asks, "What about IBM Cloud?" Stu you're pro, Corey you're con. Let's have Stu you're up first. The question is, what about IBM Cloud? >> All right, so great question, Angelo. I think when you look at the cloud providers, first of all, you have to understand that they're not all playing the same game. We talked about AWS and they are the elephant in the room that moves nimbly as a cheetah. Every other provider plays a little bit of a different game. Google has strength in data. Microsoft, of course, has their, business productivity applications. IBM has a strong legacy. Now, Corey is going to say that they are just legacy and you need to think about them but IBM has strong innovation. They are a player in really what we call chapter two of the cloud. So when we start talking about multicloud, when we start talking about living in many environments, IBM was the first one to partner with VMware for VMware cloud before the mega VMware AWS announcement, there was IBM up on stage and if I remember right, they actually have more VMware customers on IBM Cloud than they do in the AWS cloud. So over my shoulder here, there's of course, the Red Hat $34 billion to bet on that multicloud solution. So as we talk about containerization, and Kubernetes, Red Hat is strongly positioned in open-source, and flexibility. So you really need a company that understands both the infrastructure side and the application side. IBM has database, IBM has infrastructure, IBM has long been the leader in middleware, and therefore IBM has a real chance to be a strong player in this next generation of platforms. Doesn't mean that they're necessarily going to go attack Amazon, they're partnering across the board. So I think you will see a kinder, gentler IBM and they are leveraging open source and Red Hat and I think we've let the dogs out on the IBM solution. >> Indeed. >> So before Corey goes, I feel the need to remind everyone that the views expressed here are not the views of my employer nor myself, nor necessarily of Corey or Stu. I have Corey. >> I haven't even said anything yet. And you're disclaiming what I'm about to say. >> I'm just warning the audience, 'cause I can't wait to hear what you're going to say next. >> Sounds like I have to go for the high score. All right. IBM's best days are behind it. And that is pretty clear. They like to get angry when people talk about how making the jokes about a homogenous looking group of guys in blue suits as being all IBM has to offer. They say that hasn't been true since the '80s. But that was the last time people cared about IBM in any meaningful sense and no one has bothered to update the relevance since then. Now, credit where due, I am seeing an awful lot of promoted tweets from IBM into my timeline, all talking about how amazing their IBM blockchain technology is. And yes, that is absolutely the phrasing of someone who's about to turn it all around and win the game. I don't see it happening. >> Stu, rebuttal? >> Look, Corey, IBM was the company that brought us the UPC code. They understand Mac manufacturing and blockchain actually shows strong presence in supply chain management. So maybe you're not quite aware of some of the industries that IBM is an expert in. So that is one of the big strengths of IBM, they really understand verticals quite well. And, at the IBM things show, I saw a lot in the healthcare world, had very large customers that were leveraging those solutions. So while you might dismiss things when they say, Oh, well, one of the largest telecom providers in India are leveraging OpenStack and you kind of go with them, well, they've got 300 million customers, and they're thrilled with the solution that they're doing with IBM, so it is easy to scoff at them, but IBM is a reliable, trusted provider out there and still very strong financially and by the way, really excited with the new leadership in place there, Arvind Krishna knows product, Jim Whitehurst came from the Red Hat side. So don't be sleeping on IBM. >> Corey, any last words? >> I think that they're subject to massive disruption as soon as they release the AWS 400 mainframe in the cloud. And I think that before we, it's easy to forget this, but before Google was turning off Reader, IBM stopped making the model M buckling spring keyboards. Those things were masterpieces and that was one of the original disappointments that we learned that we can't fall in love with companies, because companies in turn will not love us back. IBM has demonstrated that. Lastly, I think I'm thrilled to be working with IBM is exactly the kind of statement one makes only at gunpoint. >> Hey, Corey, by the way, I think you're spending too much time looking at all titles of AWS services, 'cause you don't know the difference between your mainframe Z series and the AS/400 which of course is heavily pending. >> Also the i series. Oh yes. >> The i series. So you're conflating your system, which still do billions of dollars a year, by the way. >> Oh, absolutely. But that's not we're not seeing new banks launching and then building on top of IBM mainframe technology. I'm not disputing that mainframes were phenomenal. They were, I just don't see them as the future and I don't see a cloud story. >> Only a cloud live your mainframe related smack talk. That's the important thing that we're getting to here. All right, we move-- >> I'm hoping there's an announcement from CloudHealth by VMware that they also will now support mainframe analytics as well as traditional cloud. >> I'll look into that. >> Excellent. >> We're moving on to the lightning rounds. Each debater in this round is only going to get 60 seconds for their opening argument and then 30 seconds for a rebuttal. We're going to hit some really, really big important questions here like this first one, which is who deserves to sit on the Iron Throne at the end of "Game of Thrones?" I've been told that Corey has never seen this TV show so I'm very interested to hear him argue for Sansa. But let's Sansa Stark, let's hear Stu go first with his argument for Jon Snow. Stu one minute on the clock, go. >> All right audience let's hear it from the king of the north first of all. Nothing better than Jon Snow. He made the ultimate sacrifice. He killed his love to save Westeros from clear destruction because Khaleesi had gone mad. So Corey is going to say something like it's time for the women to do this but it was a woman she went mad. She started burning the place down and Jon Snow saved it so it only makes sense that he should have done it. Everyone knows it was a travesty that he was sent back to the Wall, and to just wander the wild. So absolutely Jon Snow vote for King of the North. >> Compelling arguments. Corey, why should Sansa Stark sit on the throne? Never having seen the show I've just heard bits and pieces about it and all involves things like bloody slaughters, for example, the AWS partner Expo right before the keynote is best known as AWS red wedding. We take a look at that across the board and not having seen it, I don't know the answer to this question, but how many of the folks who are in positions of power we're in fact mediocre white dudes and here we have Stu advocating for yet another one. Sure, this is a lightning round of a fun event but yes, we should continue to wind up selecting this mediocre white person has many parallels in terms of power, et cetera, politics, current tech industry as a whole. I think she's right we absolutely should give someone with a look like this a potential opportunity to see what they can do instead. >> Ouch, Stu 30 seconds rebuttal. >> Look, I would just give a call out to the women in the audience and say, don't you want Jon Snow to be king? >> I also think it's quite bold of Corey to say that he looks like Kit Harington. Corey, any last words? >> I think that it sad you think Stu was running for office at this point because he's become everyone's least favorite animal, a panda bear. >> Fire. All right, so on to the next question. This one also very important near and dear to my heart personally, is a hot dog a sandwich. Corey you'll be arguing no, Stu will be arguing yes. I must also add this important disclaimer that these assignments are made by me and might not reflect the actual views of the debaters here so Corey, you're up first. Why is a hot dog not a sandwich? >> Because you'll get punched in the face if you go to a deli of any renown and order a hot dog. That is not what they serve there. They wind up having these famous delicatessen in New York they have different sandwiches named after different celebrities. I shudder to think of the deadly insult that naming a hot dog after a celebrity would be to that not only celebrity in some cases also the hot dog too. If you take a look and you want to get sandwiches for lunch? Sure. What are we having catered for this event? Sandwiches. You show up and you see a hot dog, you're looking around the hot dog to find the rest of the sandwich. Now while it may check all of the boxes for a technical definition of what a sandwich is, as I'm sure Stu will boringly get into, it's not what people expect, there's a matter of checking the actual boxes, and then delivering what customers actually want. It's why you can let your product roadmap be guided by cart by customers or by Gartner but rarely both. >> Wow, that one hurts. Stu, why is the hot dog a sandwich? >> Yeah so like Corey, I'm sorry that you must not have done some decent traveling 'cause I'm glad you brought up the definition because I'm not going to bore you with yes, there's bread and there's meat and there's toppings and everything else like that but there are some phenomenal hot dogs out there. I traveled to Iceland a few years ago, and there's a little hot dog stand out there that's been there for over 40 or 50 years. And it's one of the top 10 culinary experience I put in. And I've been to Michelin star restaurants. You go to Chicago and any local will be absolutely have to try our creation. There are regional hot dogs. There are lots of solutions there and so yeah, of course you don't go to a deli. Of course if you're going to the deli for takeout and you're buying meats, they do sell hot dogs, Corey, it's just not the first thing that you're going to order on the menu. So I think you're underselling the hot dog. Whether you are a child and grew up and like eating nothing more than the mustard or ketchup, wherever you ate on it, or if you're a world traveler, and have tried some of the worst options out there. There are a lot of options for hot dogs so hot dog, sandwich, culinary delight. >> Stu, don't think we didn't hear that pun. I'm not sure if that counts for or against you, but Corey 30 seconds rebuttal. >> In the last question, you were agitating for putting a white guy back in power. Now you're sitting here arguing that, "Oh some of my best friend slash meals or hot dogs." Yeah, I think we see what you're putting down Stu and it's not pretty, it's really not pretty and I think people are just going to start having to ask some very pointed, delicate questions. >> Tough words to hear Stu. Close this out or rebuttal. >> I'm going to take the high road, Rachel and leave that where it stands. >> I think that is smart. All right, next question. Tabs versus spaces. Stu, you're going to argue for tabs, Corey, you're going to argue for spaces just to make this fun. Stu, 60 seconds on the clock, you're up first. Why are tabs the correct approach? >> First of all, my competitor here really isn't into pop culture. So he's probably not familiar with the epic Silicon Valley argument over this discussion. So, Corey, if you could explain the middle of algorithm, we will be quite impressed but since you don't, we'll just have to go with some of the technology first. Looks, developers, we want to make things simple on you. Tabs, they're faster to do they take up less memory. Yes, they aren't quite as particular as using spaces but absolutely, they get the job done and it is important to just, focus on productivity, I believe that the conversation as always, the less code you can write, the better and therefore, if you don't have to focus on exactly how many spaces and you can just simplify with the tabs, you're gona get close enough for most of the job. And it is easier to move forward and focus on the real work rather than some pedantic discussion as to whether one thing is slightly more efficient than the other. >> Great points Stu. Corey, why is your pedantic approach better? >> No one is suggesting you sit there and whack the spacebar four times or eight times you hit the Tab key, but your editor should be reasonably intelligent enough to expand that. At that point, you have now set up a precedent where in other cases, other parts of your codebase you're using spaces because everyone always does. And that winds up in turn, causing a weird dissonance you'll see a bunch of linters throwing issues if you use tabs as a direct result. Now the wrong answer is, of course, and I think Steve will agree with me both in the same line. No one is ever in favor of that. But I also want to argue with Stu over his argument about "Oh, it saves a little bit of space "is the reason one should go with tabs instead." Sorry, that argument said bye bye a long time ago, and that time was the introduction of JavaScript, where it takes many hundreds of Meg's of data to wind up building hello world. Yeah, at that point optimization around small character changes are completely irrelevant. >> Stu, rebuttal? >> Yeah, I didn't know that Corey did not try to defend that he had any idea what Silicon Valley was, or any of the references in there. So Rachel, we might have to avoid any other pop culture references. We know Corey just looks at very specific cloud services and can't have fun with some of the broader themes there. >> You're right my mistake Stu. Corey, any last words? >> It's been suggested that whole middle out seen on the whiteboard was came from a number of conversations I used to have with my co-workers as in people who were sitting in the room with me watching that episode said, Oh my God, I've been in the room while you had this debate with your friend and I will not name here because they at least still strive to remain employable. Yeah, it's, I understand the value in the picking these fights, we could have gone just as easily with vi versus Emacs, AWS versus Azure, or anything else that you really care to pick a fight with. But yeah, this is exactly the kind of pedantic fight that everyone loves to get involved with, which is why I walked a different path and pick other ridiculous arguments. >> Speaking of those ridiculous arguments that brings us to our last debate topic of the day, Corey you are probably best known for your strong feelings about the pronunciation of the acronym for Amazon Machine Image. I will not be saying how I think it is pronounced. We're going to have you argue each. Stu, you're going to argue that the acronym Amazon Machine Image should be pronounced to rhyme with butterfly. Corey, you'll be arguing that it rhymes with mommy. Stu, rhymes with butterfly. Let's hear it, 60 seconds on the clock. >> All right, well, Rachel, first of all, I wish I could go to the videotape because I have clear video evidence from a certain Corey Quinn many times arguing why AMI is the proper way to pronounce this, but it is one of these pedantic arguments, is it GIF or GIF? Sometimes you go back and you say, Okay, well, there's the way that the community did it. And the way that oh wait, the founder said it was a certain way. So the only argument against AMI, Jeff Barr, when he wrote about the history of all of the blogging that he's done from AWS said, I wish when I had launched the service that I pointed out the correct pronunciation, which I won't even deem to talk it because the community has agreed by and large that AMI is the proper way to pronounce it. And boy, the tech industry is rific on this kind of thing. Is it SQL and no SQL and you there's various ways that we butcher these constantly. So AMI, almost everyone agrees and the lead champion for this argument, of course is none other than Corey Quinn. >> Well, unfortunately today Corey needs to argue the opposite. So Corey, why does Amazon Machine Image when pronounce as an acronym rhyme with mommy? >> Because the people who built it at Amazon say that it is and an appeal to authorities generally correct when the folks built this. AWS has said repeatedly that they're willing to be misunderstood for long periods of time. And this is one of those areas in which they have been misunderstood by virtually the entire industry, but they are sticking to their guns and continuing to wind up advocating for AMI as the correct pronunciation. But I'll take it a step further. Let's take a look at the ecosystem companies. Whenever Erica Brescia, who is now the COO and GitHub, but before she wound up there, she was the founder of Bitnami. And whenever I call it Bitn AMI she looks like she is barely successfully restraining herself from punching me right in the mouth for that pronunciation of the company. Clearly, it's Bitnami named after the original source AMI, which is what the proper term pronunciation of the three letter acronym becomes. Fight me Stu. >> Interesting. Interesting argument, Stu 30 seconds, rebuttal. >> Oh, the only thing he can come up with is that, you take the word Bitnami and because it has that we know that things sound very different if you put a prefix or a suffix, if you talk to the Kubernetes founders, Kubernetes should be coop con but the people that run the conference, say it cube con so there are lots of debates between the people that create it and the community. I in general, I'm going to vote with the community most of the time. Corey, last words on this topic 'cause I know you have very strong feelings about it. >> I'm sorry, did Stu just say Kubernetes and its community as bastions of truth when it comes to pronouncing anything correctly? Half of that entire conference is correcting people's pronunciation of Kubernetes, Kubernetes, Kubernetes, Kubernetes and 15 other mispronunciations that they will of course yell at you for but somehow they're right on this one. All right. >> All right, everyone, I hope you've been voting all along for who you think is winning each round, 'cause this has been a tough call. But I would like to say that's a wrap for today. big thank you to our debaters. You've been very good sports, even when I've made you argue for against things that clearly are hurting you deep down inside, we're going to take a quick break and tally all the votes. And we're going to announce a winner up on the Zoom Q and A. So go to the top of your screen, Click on Zoom Q and A to join us and hear the winner announced and also get a couple minutes to chat live with Corey and Stu. Thanks again for attending this session. And thank you again, Corey and Stu. It's been The Great Cloud Debate. All right, so each round I will announce the winner and then we're going to announce the overall winner. Remember that Corey and Stu are playing not just for bragging rights and ownership of all of the internet for the next 24 hours, but also for lunch to be donated to their local hospital. Corey is having lunch donated to the California Pacific Medical Centre. And Stu is having lunch donated to Boston Medical Centre. All right, first up round one multicloud versus monocloud. Stu, you were arguing for multicloud, Corey, you were arguing for one cloud. Stu won that one by 64% of the vote. >> The vendor fix was in. >> Yeah, well, look, CloudHealth started all in AWS by supporting customers across those environments. So and Corey you basically conceded it because we said multicloud does not mean we evenly split things up. So you got to work on those two skills, buddy, 'cause, absolutely you just handed the victory my way. So thank you so much and thank you to the audience for understanding multicloud is where we are today, and unfortunately, it's where we're gonnao be in the future. So as a whole, we're going to try to make it better 'cause it is, as Corey and I both agree, a bit of a mess right now. >> Don't get too cocky. >> One of those days the world is going to catch up with me and realize that ad hominem is not a logical fallacy so much as it is an excellent debating skill. >> Well, yeah, I was going to say, Stu, don't get too cocky because round two serverless versus containers. Stu you argued for containers, Corey you argued for serverless. Corey you won that one with 65, 66 or most percent of the vote. >> You can't fight the future. >> Yeah, and as you know Rachel I'm a big fan of serverless. I've been to the serverless comp, I actually just published an excellent interview with Liberty Mutual and what they're doing with serverless. So love the future, it's got a lot of maturity to deliver on the promise that it has today but containers isn't going anyway or either so. >> So, you're not sad that you lost that one. Got it, good concession speech. Next one up was cloud wars specifically Google. is Google a real contender in the clouds? Stu, you were arguing yes they are. Corey, you were arguing no they aren't. Corey also won this round was 72% of the votes. >> Yeah, it's one of those things where at some point, it's sort of embarrassing if you miss a six inch pot. So it's nice that that didn't happen in this case. >> Yeah, so Corey, is this the last week that we have any competitors to AWS? Is that what we're saying? And we all accept our new overlords. Thank you so much, Corey. >> Well I hope not, my God, I don't know what to be an Amazonian monoculture anymore than I do anyone else. Competition makes all of us better. But again, we're seeing a lot of anti competitive behaviour. For example, took until this year for Microsoft to finally make calculator uninstallable and I trust concerned took a long time to work its way of course. >> Yeah, and Corey, I think everyone is listening to what you've been saying about what Google's doing with Google Meet and forcing that us when we make our pieces there. So definitely there's some things that Google culture, we'd love them to clean up. And that's one of the things that's really held back Google's enterprise budget is that advertised advertising driven culture. So we will see. We are working hand-- >> That was already opted out of Hangouts, how do we fix it? We call it something else that they haven't opted out of yet. >> Hey, but Corey, I know you're looking forward to at least two months of weekly Google live stuff starting this summer. So we'll have a lot of time to talk about google. >> Let's not kid ourselves they're going to cancel it halfway through. (Stu laughs) >> Boys, I thought we didn't have any more smack talk left in you but clearly you do. So, all right, moving on. Next slide. This is the last question that we did in the main part of the debate. IBM Cloud. What about IBM Cloud was the question, Stu, you were pro, Corey you were con. Corey, you won this one again with 62% of the vote and for the main. >> It wasn't just me, IBM Cloud also won. The problem is that competition was oxymoron of the day. >> I don't know Rachel, I thought this one had a real shot as to putting where IBM fits. I thought we had a good discussion there. It seemed like some of the early voting was going my way but it just went otherwise. >> It did. We had some last minute swings in these polls. They were going one direction they rapidly swung another it's a fickle crowd today. So right now we've got Corey with three points Stu with one but really the lightning round anyone's game. They got very close here. The next question, lightning round question one, was "Game of Thrones" who deserves to sit on the Iron Throne? Stu was arguing for Jon Snow, Corey was arguing for Sansa Stark also Corey has never seen Game of Thrones. This was shockingly close with Stu at 51.5% of the vote took the crown on this King of the North Stu. >> Well, I'm thrilled and excited that King of the North pulled things out because it would have been just a complete embarrassment if I lost to Corey on this question. >> It would. >> It was the right answer, and as you said, he had no idea what he's talking about, which, unfortunately is how he is on most of the rest of it. You just don't realize that he doesn't know what he's talking about. 'Cause he uses all those fast words and discussion points. >> Well, thank you for saying the quiet part out loud. Now, I am completely crestfallen as to the results of this question about a thing I've never seen and could not possibly care less about not going in my favor. I will someday managed to get over this. >> I'm glad you can really pull yourself together and keep on going with life, Corey it's inspiring. All right, next question. Was the lightning round question two is a hot dog a sandwich? Stu, you were arguing yes. Corey, you were arguing no. Corey landslide, you won this 75% of the vote. >> It all comes down to customer expectations. >> Yeah. >> Just disappointment. Disappointment. >> All right, next question tabs versus spaces. Another very close one. Stu, what were you arguing for Stu? >> I was voting tabs. >> Tabs, yeah. And Corey, you were arguing spaces. This did not turn out the way I expected. So Stu you lost this by slim margin Corey 53% of the vote. You won with spaces. >> Yep. And I use spaces in my day to day life. So that's a position I can actually believe in. >> See, I thought I was giving you the opposite point of view there. I mistook you for the correct answer, in my opinion, which is tabs. >> Well, it is funnier to stalk me on Twitter and look what I have to there than on GitHub where I just completely commit different kinds of atrocities. So I don't blame you. >> Caught that pun there. All right, the last rounds. Speaking of atrocities, AMI, Amazon Machine Image is it pronounced AMI or AMI? >> I better not have won this one. >> So Stu you were arguing that this is pronounced AMI rhymes with butterfly. Corey, you were arguing that it's pronounced AMI like mommy. Any guesses under who won this? >> It better be Stu. >> It was a 50, 50 split complete tie. So no points to anyone. >> For your complete and utterly failed on this because I should have won in a landslide. My entire argument was based on every discussion you've had on this. So, Corey I think they're just voting for you. So I'm really surprised-- >> I think at this point it shows I'm such a skilled debater that I could have also probably brought you to a standstill taking the position that gravity doesn't exist. >> You're a master of few things, Corey. Usually it's when you were dressed up nicely and I think they like the t-shirt. It's a nice t-shirt but not how we're usually hiding behind the attire. >> Truly >> Well. >> Clothes don't always make a demand. >> Gentlemen, I would like to say overall our winner today with five points is Corey. Congratulations, Corey. >> Thank you very much. It's always a pleasure to mop the floor with you Stu. >> Actually I was going to ask Stu to give the acceptance speech for you, Corey and, Corey, if you could give a few words of concession, >> Oh, that's a different direction. Stu, we'll start with you, I suppose. >> Yeah, well, thank you to the audience. Obviously, you voted for me without really understanding that I don't know what I'm talking about. I'm a loudmouth on Twitter. I just create a bunch of arguments out there. I'm influential for reasons I don't really understand. But once again, thank you for your votes so much. >> Yeah, it's always unfortunate to wind up losing a discussion with someone and you wouldn't consider it losing 'cause most of the time, my entire shtick is that I sit around and talk to people who know what they're talking about. And I look smart just by osmosis sitting next to them. Video has been rough on me. So I was sort of hoping that I'd be able to parlay that into something approaching a victory. But sadly, that hasn't worked out quite so well. This is just yet another production brought to you by theCube which shut down my original idea of calling it a bunch of squares. (Rachael laughs) >> All right, well, on that note, I would like to say thank you both Stu and Corey. I think we can close out officially the debate, but we can all stick around for a couple more minutes in case any fans have questions for either of them or want to get them-- >> Find us a real life? Yeah. >> Yeah, have a quick Zoom fight. So thanks, everyone, for attending. And thank you Stu, thank you Corey. This has been The Great Cloud Debate.

>>Live from Orlando, Florida. It's the cube covering Microsoft ignite. Brought to you by Cohesity. >>Welcome back everyone to the cubes live coverage of Microsoft ignite here in Orlando, Florida. I'm your host, Rebecca Knight. Along with my cohost Stu Miniman. We are joined by David Neu. He is the VP of cloud at Cohesity, which is where we are. We're in the Cohesity booths, so I should say thank you for welcoming us. Pleasure. They found me here. So you are pretty brand new to the company, a, a longtime tech veteran, but, but new newish to Cohesity. Talk a little bit about what made you want to make the leap to this company? >>Well, you know, as I was, I mean it was, it was time for me to move from my prior company. Um, and then we'll go into the reasons there. But, um, as I looked around and to kind of see who were the real innovators, right, who were the ones who were disrupting, cause my successes in the past have all been around disruption. And when I really looked at what these guys were doing, you know, first it's kind of hard to figure out. Then it was like, Oh my gosh, this is really something different. Like, um, it's bringing kind of the cloud into the enterprise and using that model of simplification and then adding data services and it's really groundbreaking. So I just like a, and the other thing was, Oh, I'll just throw this point out there. I read a lot of the white papers and the technology and I looked at it and having been a lot, you know, tech veteran for awhile, it looked to me like a lot of people who have done this stuff before it got together and said if I had to do it again and do it right, like what were the things I wouldn't do and what are the things I would do? >>Right, right. So that was just fascinating. So David, yeah, I was reading a Q and a recently with, with Mohit, founder of Cohesity, and it really is about that data. You mentioned data services. Yeah. Bring us insight a little bit. You know, we in the, you know, storage in it industry, you know, get so bogged down in the speeds and feeds and how fast you can do things in the terabytes and petabytes and like here, but we're talking about some real business issues that the product is helping to, to solve. >> I totally agree. Look, I've been in the, in the storage industry for a while now and you know, multi petabytes of data and the problem that you run into when you go and talk to people who use this stuff is like, well geez, I start to lose track of it. I don't know what to do with it. >>So the first thing is how do you search it, index it. That's, you know, so I can actually find out what I have. Then there's a question of being able to go in and crack the data open and provide all kinds of data services from, you know, classification to uh, Oh, is this a threat or business have vulnerabilities in it. It's really a data management solution. Now of course we started with backup, right? But then we're very quickly moving into other services back on target, file an object. You'll see some more things coming out, uh, around test and dev. For example, if you have the world's data, it's one thing to just keep it and hold it, but then what do you do with it? How do you extract value out of it is you really got to add data management services and people try to do it, but this hyper converged technology in this more of a cloud approach is, is really unique in the way that it actually goes about it. >>Could you speak a little bit of that, that that cloud approach? Yeah, so I mean, you know, Monet comes from a cloud background, right? He wrote the, he was the author of the Google file system. The idea basically is the same. Let's take a look at a global view of how data is capped. Let's basically be able to actually abstract that with a management layer on top of that and then let's provide services on top of that. Oh by the way, people now have to make a decision between am I going to keep it on premise or keep it in the cloud? And so the data services, how to extend not just to the on-prem but the act to actually extend to Conde services as well, which is kind of why I'm here. I think, uh, you know, what we do with Azure is pretty fascinating in that data management space too. So we'll be doing more data management as a service in the cloud as well. >>So let's get into that a little bit and I'm sure a lot of announcements this week with Azure arc and another products and services, but let's dig into how you're partnering in the kinds of innovative things that go Cohesity and Microsoft are doing together. >>Well, we're doing a lot of things. First of all, we, we've a very rapid cadence of engineering to engineering conversations. We do everything from archiving data and sending longterm retention data into the cloud. But that's kind of like where people start, right? Which is just ship it all up there. You know, in Harvard it's held, right? But then think about doing migrations. How do you take a workload and actually migrated from on prem to the cloud in a hold? We can do wholesale migrations that people's environments who want to go completely cloud native, we can fail over and fail back if we want to as well. So we can use the cloud is actually a dr site. Now you start to think about disaster recovery as a service. That's another service that you start to think about, Oh, what about backing up cloud native workloads? >>Well, you don't just want to back up your own workloads that are in the on prem data center. You want to back them up also in the cloud and that includes even office three 65 so you just look at all of what that means and then the ability then crack that, open that data open and then provide all these additional, when I say services, I'm talking about classification, threat analysis, um, being able to go in and identify vulnerabilities and things of that nature. That's just a, a huge, tremendous value on top of just the basic infrastructure capabilities. David, you've been in the industry, you've seen a lot of what goes on out there. Hopeless, understand really what differentiates Cohesity. Because a lot of traditional vendors out there that are all saying many of the same words to hear here, cloudifying hinders even newer vendors than Cohesity's eh, out there. >>Totally get it. Look, I mean, here's, here's kind of what I find really interesting and, and, and, and just attractive about the product. I've been in the storage industry for a long time. So many times people have asked me, can I move my applications to the storage because moving the data to the application, that's hard, but moving the application to the data, wow, that makes things a lot easier. Right? And so that's one of the big things that actually we do that's different. It's the hyperconverge platform. It's a scale out platform. It's one that, um, really looks a lot more like some of the scale out platforms that we've done in the past, but goes way beyond that. And then the ability to then say, okay, let some strike that. A ways to make it as simple as possible so people don't have to worry about managing lots of different pools and lots of different products for, you know, a service one versus service two versus service three and then bringing applications to that data. >>That's what makes it really different. And I think if you look around here and you talk to other vendors, I mean, they'll provide API APIs. That's one thing and that's great and that's important, but to actually bring the applications to the data, that's, you know, that's what all of the cloud guys do. I mean, look at Google, they put Gmail on top, they put a search on top, they put Google translate on top is all of these things are actually built on top of the data that they store such as Adela. This morning in the keynote talked about that there's going to be 500 million new at business applications built by 2023 how is Cohesity position to both partner with Microsoft and everyone out there to be ready for that cloud native future? That's a great question. Look, we're not going to put 500 million applications on the product, right? >>But we are going to pick some key applications that are important in the top verticals, whether it's healthcare, financial services, public sector, and so long I've sciences, oil and gas, but I'm in the same time we all will offer the API APIs extensions too. So if you think about going into Azure, if we can explore things as Azure blobs for example, now we can start to tie a lot of the Azure services into our storage and make it look like it's actually native Azure storage. Now we can put it on Azure cold storage, you know, hot storage, we can decide how we want to tier things from a performance perspective, but we can really make it look like it's native. Then we can take advantage of not just our own services but the services that the cloud provides as well. And that makes us extraordinarily powerful >>in terms of the differentiator of Cohesity from a services standpoint. But what about from a cultural standpoint? We had Satya Nadella on the main stage this morning talking a lot about trust. And I'm curious as particularly as a newer entrant into this technology industry, pow, how do you, uh, develop that culture and then also that reputation too? >>Here's one of the interesting things we did when I joined the company and I've been around for awhile and I've been in a couple very large brand names. I started walking down the halls and I'm like, Oh, you're here. Oh, you're here. Wait, you're here. And it's like an all star cast and a, when you go into, you know, some of the customer base and it's like, Hey, we know each other for a long time. That relationship is just there on top of that. I mean, the product works, it's solid. People love it. It's easy to use and it actually solves real problems for them. Um, and you know, we innovate extraordinarily fast. So when customers find a problem, we are in, uh, on such a fast release cadence, we can fix it for them in extraordinarily, uh, uh, in times I've never seen before. >>In fact, is a little bit scary how fast the engineering group works. It's, uh, probably faster than anything I've ever seen in the past. And I think that helps. They build the customer's trust cause they see that if we recognize there's a problem, we're going to be there to solve it for them. There's trust of the company. Uh, when we talk about our data, there's also the security aspect. Yes. How does Cohesity fit into the, there's a story with Microsoft and beyond. The security part is extraordinarily important. So look, we've already, as I said, built kind of an AR app marketplace and we're bringing a lot of applications to do things like ransomware detection, uh, um, vulnerability detection, data classification. But, uh, Microsoft is also developing similar API APIs. And you heard this morning that they're building capabilities for us to be able to go and interact with them and share information. >>So if we find vulnerabilities, we can share it with them, they can share with us and we could shut them down. So we have the native capabilities built in, they have capabilities that they're building of their own. Imagine the power of being able to tie those two together. I just think that that's extraordinarily powerful. What about growth for a company that is growing like gangbusters? Can you give us a roadmap you can expect from coaching? I've never seen growth like this. I mean, I joined, um, specifically to look at a lot of the cloud and, uh, the file and object services and you know, obviously I have a background in, in backup and data protection as well. Um, I haven't seen growth like this since my old days when I was in Iceland, when I started in Isilon back in the, you know, way, way old days. >>This is X. This is, you know, I can't give you exact numbers, but I'll tell you it's way in the triple digits, you know what I mean? And, and it's extraordinarily fast to see from an Azure perspective, we're seeing, you know, close to triple digit growth as well. So I, I love it. I mean, I'm just extraordinarily excited. All right. Uh, on the product side, give us a little bit of a look forward as to what we should be expecting from Cohesity. Absolutely. So from a look forward perspective, as I said, we protect a lot of on-premise workloads and um, you know, now and we protect obviously Azure workloads as well. We protect Azure VMs. But as we think about some of the Azure native services like sequel, um, and other services that are kind of built native within Azure, uh, we'll extend our application and to be able to actually do that as well, we'll extend kind of the ease of use and the deployment models to make it easier for customers to go and deploy and manage. It really seems like a seamless single pane of glass, right? So when you're looking at, uh, Cohesity, you should think of it as, even if it's in the cloud or if it's on premise, it looks the same to you, which is great. If I want to do search and index, I can do it across the cloud and I can do it across the on prem. So that integration is, is really what ties it together and makes it extraordinarily interesting. >>Finally, this is, this is not your first ignite. I'm interested to hear your impressions of this conference. What you're hearing from customers, what your, what the conversations that you're having. >>You know, it's a lot of fun. I've been walking around the partner booths over here to see like, you know, who can we partner with to add some more of those data management services because we don't think ourselves, again, you know, we started kind of in the backup space. We have an extraordinarily scalable storage infrastructure. I was blown away by the capabilities of the fallen object. I mean it was just as a fall guy for a long time. It was unbelievable. But when you start to add those data management capabilities on top of that so that people can either, you know, again, either to your point, uh, make sure that they can detect threats and vulnerabilities or uh, you know, find what they're looking for or you know, be able to run analytics for example, right on the box. I mean, I've been asked to do that for so long and then just, it's finally happening. It's like, it's a dream come true for me. It's like everything you ever wanted software defined, bringing the applications to the, to the data. It's just like if I could ever say like, Hey, if I could take all of the things that I always wanted at previous companies and put them together, it's Cohesity and I'm looking around here and I'm seeing a lot of great technology that we can go and integrate with. >>Great. Well, David and I, thank you so much for coming on the cube. >>Thank you very much. I appreciate it. I'm Rebecca knife. First to Miniman. You are watching the cube.

>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen, brought to you by Del Technologies and its ecosystem partners. >> Welcome back, everyone to the cubes. Live coverage of Del Technologies World here at the Venetian fifteen thousand attendees. One of the biggest, most important tech conferences all year long. I'm Rebecca, not your host. Along with my co host, stew Minutemen. We're joined by Caitlin Gordon. She is the VP product marketing at Delhi Emcee. Thanks so much for coming back on the cute Kate. I >> know This is so nice. Maybe we'LL have to make it three days in a row. >> I would we would love that. All right, so the last year at this very comforted you lunch power, Max, what's Tet Walker viewers through Sort of. The new capability is the latest and greatest. What's going on with power Max this year? >> Yeah, My favorite thing to talk about his power, Max. So we couldn't miss that today. Yeah, So a couple of updates in the Power Mac's front couple on the software side and then on more on the hardware side as well. S o from ah software side. We've got a couple pieces, which is a lot of our customers, really starting with the largest of our customers, are looking to add more automation into their data centers, and storage is no exception. And how do I automate some of those storage work clothes? Teo, make things run more seamlessly, get into more of a cloud operating model. So we had a couple of announcements on that front. We have a new V R. Oh, plug in, um, to automate work clothes through the r o A. CZ. Well, as ants will play books coming this summer, a couple important automation hand spins and obviously a lot more to come there in the future. The other one in a similar vein, is that containers, right. We've seen the increase adoption of container. So, um, and that the container is being used in production applications means that external storage is actually become a reality in that world, and the support for a C. S. I plug in on power Max, is something that we're seeing more interest from. So we have announced that's coming this summer as well. >> So, Caitlyn, I remember a year ago when Power Mask got announced. I heard things like intelligence and automation. And I went to add non, you know who's been working on this kind of technology for decades? Is that non how we've been talking about this for decades? Tell me why it's different and he lit up like I hadn't seen him in awhile, told me, What's going on for I want you to connect now a year later is what's this mean for customers? What does that automation? You know, an intelligence mean, is there a certain KP eyes or hero metrics who have is two customers using this today that they couldn't have done? And with you, no last generation intelligence storage? >> Yeah. Hey, think about it. It's really about moving to this concept of the Autonomous Data center. And how does this become an autonomous storage system? So both the intelligence within the system that we talked about last year and the decisions that the system is making itself every single day all by itself, that's that has really changed. And it's a completely new evolution of its making billions of decisions a day for customers so they don't have to do that means you're gonna have fewer people managing storage and they can invest in other things. Then when you move that up the stack, some of that the bureau, the answer will play books really enables you to then automate more of the work flows within that so again gets you more into that operating model, and you can automate not just the storage infrastructure, but then get to this autonomous data center >> So way talk to Travis briefly about Dev ops and you're mentioning answerable playbooks. You know, for years we've been talking to customers and saying, Okay, we we need to get two more agile environments, you know, Dev ops there, but enterprise storage specifically, there's a little bit slowed up, so it sounds like we're starting to get to greater adoption. What? What, what what got us over that you know, Hurdle, and where our customers with it today? >> Yeah, and I think it's really the maturity of our largest global customers that have gotten to a place where, for the workloads that will continue to remain on these thes on from infrastructure on our purpose built storage on our high end arrays, they need to run that as efficiently as possible. Um, and a lot of the work we've done to build in a. I does part of that, but really, ultimately they're looking at in there. Three. Terek protector. How do they run things more smoothly? Um, and it's really our customers that have brought that us is a requirement, and we've been able to to support that. >> So how do you work with customers? Mean innovation is, of course, an underlying theme of this of this conference. Talk about how you collaborate with customers to to solve their problems and how you help them. Think ahead what their future needs are. >> Yeah, and certainly Travis, I myself, might our teams, as well as the engineering team, spend a lot of time with our customers in the briefing centre. A lot of in the field, um, really talking about their challenges and the privilege that we have, especially with something like a Power Max platform, is the customers we have. There are the ones that are constantly pushing the boundaries of what we can do for them today, so they always need the best performance. The best efficiency and what has changed is they also now we need that simplicity. They need that operational simplicity, even on their high resiliency. High performance systems. Um, and we spend a lot of time understanding those requirements on DH, the problems that they're trying to solve and how we can help them get there and that that could be automation that could be containers. But it could also be cloud right, And that's the other piece that we've we made a lot of investments across our portfolio is how do we support that cloud consumption cloud operating model, leveraging public cloud? Um, and and a lot of it really just comes from how do we help our oppressors continue to solve their problems? >> It's a competitive marketplace, and, as you said, customers, they want everything. They want efficiency. They want simplicity. They wanted to not cost them too much money. What what's your unique selling point? How do you message this is This is why our solution is >> that I mean, our overall strategy delancy from a storage perspective is that we're way. We'LL have a single product in each segment with which we've compete and each one will be architected for very specific requirements so that we can meet the combination of a price points and it features and capabilities across all these different perspectives and that each one of our platforms is designed to be industry leading in that category. Which is why we have power Max on the high end, the resiliency, that performance, the availability that you know, banks, hospitals, governments around the world expect. But the same time we have mid range pot for us. We have an entry platform that could be sold for under twenty five thousand dollars, right and has a different set of requirements. We have the unstructured business, which is supporting the data. Aaron. That data explosion in a file data, Um, so the The fact is the matter is this. That is all about having the right actor architecture's so customers can have the data in the right place at the right time with the right service level. Um, and that's why we have this portfolio and within each portfolio that were leading in each one of those categories, That's kind of the bigger perspective we have on it. We do not just have a hammer. Not everything is a nail for us. Um, and that's an important part of how we can partner with with our customers to help themselves. Not one challenge, but all the challenges they have >> killing one of the interesting shifts we saw the show is clouds being talked at more than ever at this show. One of the earlier segments we had on we talked about the cloud enabled infrastructure. So things like power, Max, you know, I asked J. Crone, you know, tell me why this is cloud watching, and he gave me a good answer. What I want to ask you your angle on is when you talk to customers, you know how to storage fit into the overall discussion of their cloud strategy. You know what, some of the key business drivers and you know how how's Del technology? >> And I'm glad you said that because Jay and I have had this cloud washing conversation as well as I think that's the unfortunate thing in the reality in the market in the past, probably ten years is a lot of cloud washing, and where we're really focused today is, and we talked a little about this yesterday as well as they say. There's one piece of the how do we fit into overall Del technologies cloud strategy with the Del Tech Cloud. I'm in the VCF integration. We kind of covered that the other pieces that when we look at cloud enabled infrastructure, we're focused on solving really specific use cases that we hear our customers trying to solve today of connecting that data center into a public cloud. So that could be what we call cloud connected systems. The tearing of data from your own promises, infrastructure into the public cloud. Really, that's more of an archiving. This case, a kind of a tape replacement use case that could be dead, remain cloud tear, cloud tearing cloud pools. All the different pieces we have there could be CLO Data Services, right. Offering storage Data services is in a public cloud. Unity Cloud Edition will be one or the New Delhi emcee. Cloud storage services could be another one or even that cloud data insights piece of it. So it's really about solving that solving real challenges about disaster recovery Analytics in the cloud. How do you do that? In a really impactful way? That's simple and easy for customers. >> Yeah, the other Claude related thing wanted to get your take on is many of solutions. I heard on there is, you know, it's VX rail underneath. It's VX rail underneath. It's VX rail under >> you. Notice that >> I did, and you know a way. We had a number of people. V X ray. Lt's doing great, but, you know, if you talk about cloud and the infrastructure that I have in my data center, you know, we've talked Teo, talk to Dell for years. You know, the new power Max last year is underneath some of those admire. Where does that fit in? Kind of CIA and cloud, you know, infrastructure piece. >> Yeah, in a lot of different places. And for Roddy, for reasons, right? Some of us just the high value workloads you need. The scalability, the resiliency, the performance you need the ability to scale your computing your capacity separately. You want to be able to consolidate not just your applications, but actually all your file and sew something like unity or even power. Max, you can have your block workloads and your file workloads there. So we have a lot of customers looking to use traditional three tier architecture, but leverage that in a true cloud operating model from an automation standpoint, cloud consumption model, but also leveraging public cloud computing, right, leveraging the public cloud and really impactful ways, for example, for disaster recovery, eh? So it's really that combining what people love about our industry leading best of reed storage. Um, with that agility of the public cloud is a combination that we certainly hear a lot from our customers of How can I make the best use of clouds? Everyone walks in and say that club first strategy, but it's really about well, how do you actually think about data first and then how do you have a cloud strategy that supports that? >> So So let's talk about the future. I mean, ahs, You said This is what the customer is thinking about right now, but it's your job to think ahead and make sure that you are giving them solutions that fit their future need. So what are you thinking about the solutions that are available today that were really unimaginable five years ago. I think about ahead to twenty twenty five when there is enough data to fill the Empire State Building thirteen times over. How are you helping companies manage the tsunami of data? >> Yeah, and I think part of that is really about again the operations we talked about. Part of that really just comes back to having the right architecture for that type of workload. So this is where I salon actually well before the data era actually was designed for this specifically. So Iceland, created in the early two thousand's, was designed of one file system from terabytes and two petabytes. A single administrator can manage now up to fifty eight petabytes in a single file system. That's game changing when you think about the scale that we're seeing today. So the reason we went to that capacity isn't certainly just cause we thought we could. It was cause our customers were asking for it. Is these workloads in that data that we're talking about autonomous driving center that are just driving the scale? Ability limits, And they're asking for more and more in the most efficient floor print possible. And if you think about that, especially even in the cloud context, there's a There's a combination of How do you leverage that in the in the data center right? And physics means you can't get it up into the cloud necessarily. Um, but then also, there are use cases. They're like analytics of How do you leverage public cloud computing? But then you have that industry leading scale out now, as on the from the storage side so you can combine that. So you talk about something that we talked about here last year, and now we're talking about it a little bit more as well as our integration with Google Cloud platforms. So a lot of our customers are looking to use G. C p for compute for analytics workloads on DH. It's really almost rent your compute for analytics, but you have to have the right storage platform with the right architecture on the back end of that. So what we've done is fully integrated. Iceland, uh, platform and file system through G C P portal. So you could actually combine that public hug, compute and that file system that can support that type of scale. So it's a really unique combination that can help support not only the scale of that data, but also that some of the unique use cases and work loads that are coming out of that >> So Caitlin lot of products here that that would be talking about. Last thing I want to ask is customer customer conversation you have, you know, is data the center of the challenge and opportunity. They have something else that kind of bubbling up. As you look across the conversations you're having that you could have your audience. >> I think at the center of what I hear from customers, Data's in there, but they don't come in saying its data, right? They'll come in thinking about, you know, just trying to figure out how to use cloud properly there. Think about how Doe I simplify things. How do I, um, operate in a way to meet the service levels with a budget that's definitely not getting bigger? Um, and really be as efficient as possible. And it's not, um, some people are looking to go public. Cloud thinking. It's an easy button are there, but it's it's really about How do we change things? Teo run more efficiently and customers inherently to understand, right that the data is at the center of it, and that's increasingly the most valuable asset in the organization. And then they need to optimize their infrastructure to support that, so it really does come down to what? What can we help them to simplify? Optimize. Secure that so that they can truly unlock that. David Capital. >> Well, thank you so much, Caitlin, for coming back on the Cube. That's thanks for having me. Rebecca Knight for stew Minutemen. There is so much more coming up of the cubes. Live coverage of Del Technologies World in just a little bit.

>> 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 Cube. I'm Lisa Martin Live at the Stanford Ari Aga Alone, My Center for the Fourth Annual Women and Data Science Conference with twenty nineteen and were joined by a very special guest, Liza Donnelly, cartoonist for The New Yorker. But Liza, you are a visual journalists, visual journalism. You're here live, drawing a lot of the things that are going on. It would. You were just at the Oscars at the Grammys. Your work is so unique, so descriptive. Tell us a little bit our audience about what is visual journalism? >> Well, I suppose a lot of us define it different ways. But I did find it is somebody who I am, somebody who goes to events, either political or social, cultural and draw what I see. I'm not a court reporter. I'm I'm an Impressionist. I give people a feeling that they're they're with me from what? By what I draw what I see, how I draw it, and and it's I don't usually put any editorializing in those visual drawings, but my perspective is sort of a certain kind of approach. >> So you're bringing your viewers along this journey in almost real time. When people see people might be most failure with New Yorker your illustrations there. But folks that are watching the Woods event lie that engaging with that tell us a little bit about the importance of using the illustrations to bring them on this journey as if they were here. >> Well, you know, I send the drawings out immediately, do them on my iPad and I send them out on social media almost immediately, so as I do that so that people can see them immediately. So they feel like they're there, and it's a way to draw attention to whatever it is I'm drawing. Because on the Internet, there's so many words in so many photographs, people see a drawing by other stream that like, Wait, what's that? And I'm a thumb stopper, in other words, so it's. It gives people different perspective on what's going on. And I think that my background is a cartoonist for The New Yorker for forty years. Informs these drawings in an indirect background kind of way, because I have been watching culture have been watching politics for a very long time, so it gives me a, you know, a new attitude or a way to look at what's going on, >> right? And so you you call these illustrations, not cartoons. >> I do call the cartoons cartoons. Okay, we'll do the cartoons for the for >> The New Yorker and some other magazines, and those have a caption, and they often are supposed to be funny, or at least cultural commentary. I do political cartoons for medium, and those also have it have a point of view, are a caption. But the's this visual journalism like I'm doing here is more like reportage. It's more like this is what's happening here. You might be interested in seeing what people are talking about, what they're doing and I do behind the scenes to I don't just do like the Oscars. I'll do the stars if I could get them. And on the red crime on the red carpet, it's really cool. If I catch them, I'll draw them. And then But then I also do the people taking out the trash, the guy painting, you know, painting the sideboard or the counterman, things like that. So I try to give a sense of what it's like to be there. >> So you really kind of telling a story from different perspectives. Yes, right. Yeah. And so the role of I'd love to understand you mentioned being with the New Yorker for very long time and loved. You understand from your perspective, the evolution of cartoons and the impact they can make in in our society, in politics and economics. Tell us a little bit about some of the impacts that you've seen evolve over the last few decades. >> Well, I've written about >> that. I'm also a writer. I've written about that for a very sites. Did a commentary on op ed for The New York Times about the Charlie Hebdo's murders a couple years ago because we know cartoons can be very controversial. Yes and problematic Nick. And that's been true through the course of the history of our country, and I'm sure in England and other countries as well. But it's compounded. Now because of the Internet. I think cartoons could be misunderstood that could be used as weapons. People are gonna be talking about this next week at the South by Southwest. I'm talking about political cartoons and what what their impact has been in the past and how, >> how they, how they create an impact now >> and why that is, and how we could use it to the to our to good effect. You know, not a divisive tool, which I think is a problem that we're dealing with right now in our culture is everybody's so divided and so opinionated and so hateful towards each other. Can we use cartoons? Not to perpetuate that, but to make things better in some way. >> And that's kind of the theme of Wits, Women and Data Science Conference. You know, we're talking Teo and listening Teo at the live event here at Stanford and all of those around the world. It's really strong leaders and data sign. So we think of data science on DH, the technical skills. But data is generated. We generate tons of it as people, right with whatever we're buying, what we're watching on Netflix. But we're listening to on Spotify, etcetera. There's this data trail that we're all leaving, and we know you talked about using cartoons for good. Same conversations that we have on the data side, about being able to use data for good for cancer research, for example, rather than exposing and being malicious, that's interesting. Parallel that you've seen over the years that there is a lot of potential here. Tell me a little bit about the appetite in. Maybe we'll say the millennials and the younger generations for cartoons as a tool for positive the spread of positive social news and not fake news. >> Well, there. I know that >> there's more and more cartoons on the Internet now. A lot of Web comics and cartoonists are young. Cartoonists are using the Internet effectively, too. Put out their ideas. In fact, I when the Internet hit, I was mid career right, and it just took off and helped me become Mohr more well known just by leveraging the Internet. No, because I love it. You know, I love Communicate. It's >> actually it's really an extension >> of what I did as a child learning to draw, communicate with people. I was shy. I don't want to talk. The Internet is just a matter of for me. It's like a dialogue with people on DH. That's how I look at it, and I I think this new generation is really trying to find ways to use these tools in a good way. I think there's a whole new, you know, the kids in their >> twenties. I think they're trying >> to make a better world, are working on it, and that's exciting. >> You talk about communication and how you used your artistic skills from the time you were a child to communicate. Being shy. We also talk about communication in the context of events like the women, the data science, where it isn't just enough to be ableto understand and have the technical acumen to evaluate complex, messy data sets. But the communication piece kind of go back, Teo sort of basic human scaled, being able to communicate effectively. This is what I think the data say and why, and here's what we can do with it. So I think it's interesting that you're here at this event. That has a lot of parallels with communication with using a tool or information for the betterment off a little bit about how you got involved with women in data science. >> Well, I met Margot Garretson >> about five years ago, and through a mutual friend, we met in Iceland. All places >> like it's conference >> about women's rights. It was, it was the Icelandic women are so powerful anyway. We met there, really, to be good friends, and she invited me to come live, draw her new conference at the time. I think she had one year of it, and I thought, data science, OK, >> did you even know what >> that Wass? Yeah, kind of. But I didn't think I didn't see my connection. But I thought, Well, it's about women's rights and >> I'm a big part of my interest in what I want to do with my work is promote equal rights for women around the world. And so I thought, this this sounds terrific. Plus, it's global, and I do a lot of work globally to help them and help freedom of speech as well. So it seemed to be a great fit on DH and and it seems even more to be a good fit in that. It's a way to get the information out there in a visual way because people will hear that word data, and they like they probably just >> start. Yeah, zero because >> they see it connected with a cartoon or drawing it humanizes it for them a little bit. And if I could do that, that's great. And that's what's also fun is that I thought about this today was drawing the speakers, and I'm drawing one of the speakers. I forget her name right now, but I thought and I put it out on the Internet. There were no words on there, but it was just a woman speaker talking about really very technical data science. I put on the Internet with the caption on the tweet and I thought, People, it's it's it's just a constant reminder to people that women are doing this. And it's not a silly not like writing a long essay about why women should be in data signs and why they are and why they're important. But they're doing great things. But if you see it, it resonates a little bit more quickly and more forcefully. >> Absolutely. And it aligns with what we hear and say a lot of we can't be what we can't see. >> That's right. Yeah, that's a saying right where you said that. >> Yes. I'm not sure I'd love to take credit for it. Sure >> would be if she can see it, she could be it. That's another >> thing. That a young girl, she's my drawing of a professor talking on stage. Maybe she'll think about it. >> Absolutely. So in the last few seconds here, can you just give us a little bit of an idea of how you actually What What inspires you when you're seeing someone give a talk like you mentioned about maybe an esoteric or a very technical top? What do you normally look for? That's that Ah ha moment that you want to capture in ten minutes. >> Well, I try to capture that person's essence. I'm not a caricaturist. I don't pretend to be, but I draw >> a likeness of them, and they're the full body is the best body language. You know, they're just tick yah late ing. And then oftentimes I try to capture a sentence that they're saying that has has more universal appeal that somehow brings like a not like a layman into the subject A little bit. If I can find that sentence in what they're saying, I'll put that you have the speech balloon will be saying that. But I just try to capture the person best. I can >> do anything if you compare two wins. Twenty eighteen. Here we are a year later. Even more people here, the live event, even more people engaging and think Margo's that about twenty thousand live today. One hundred thousand over. I think the one hundred thirty plus regional with events, anything that you hear, see or feel that's even more exciting this year than last year. >> Um, well, I do. I do feel the >> the increase in numbers. I can feel it. There's there soon be more people here I don't true, but the senior more young people here, what else is it is it is a buzz. I think there's a >> There's an energy >> is an energy. Not that there wasn't there last. The last I've >> done three years now. It's been there, but there's a certain excitement right now. I think more women are stepping into this field of being recognized for doing so. >> And it's great that you're able Tio, reach, help wigs, reach an even bigger audience and tell this story with your illustrations in a more visual way, way also. Thank you so much, Liza, for taking some time. Must daughter by the Cuban talked to us. It's an honor to meet you And you. I love your drawings. >> Thank you so much. You >> want to thank you for watching the Cube? I'm Lisa Martin Live at the fourth annual Women and Data Science Conference at Stanford's took around. Be right back with my next guests.

Live from Las Vegas, it's the Cube. Covering AWS re:Invent 2018. Brought to you by Amazon Web Services, Intel, and their ecosystem partners. And welcome to Las Vegas! We're at AWS re:Invent, day one of three days of coverage here on the Cube. Along with Justin Warren, I'm John Walls. Glad to have you with us here for our live coverage. We're joined now by Jonsi Stefansson, who's the vice-president of Cloud Services at NetApp and Hákon Guöbjartsson, who's the CIO of WuxiNextcode. Gentlemen, thanks for joining us, good to have you here. >> Thank you. >> Yeah, thank you for having, >> Having us. >> And I think, not only your first time on the Cube, but I believe the first time we have had natives of Iceland, I believe. (laughs) >> So, a first for us as well. But glad to have you. First off, Háken if you will, tell us a little bit about WuxiNextcode, what you do and why you're here. >> Yeah, so we are a company that specializes in analysis of genomic data, all the way from gathering cohorts for our pharma customers into providing sequencing services, data analytics, and AI. So we basically cover the full end to end solution space for genomic analysis. >> Okay, and now let's talk about the partnership, or at least the work that's going on between you, if you would, Jonsi, a little bit about when you have a client like this, genomics, what exactly are you trying to peel back for them? What's the challenge that you're trying to address for them? >> So we started Cloud Volumes Services on AWS roughly eight, uh, six months ago. And we've been running it with very selected customer base that is focusing on very specific workloads, like genome sequencing, rendering, database workloads, like workloads that have traditionally have had a hard time finding themselves into the cloud. So we've had a very deep partnership with WuxiNextcode in sort of customizing our offering that fits their needs. So we've been working very closely with them for the past I would say four to five months, and now we've moved their entire production sets into AWS. So that's been something that these research companies have been struggling with. And the Cloud Volumes addresses that, with the data management capabilities and the performance tiers that we offer. >> Could you give us a bit more detail on what it is about Cloud Volumes that's special and different compared to what you would generically get from AWS. Because people have been able to put storage into the cloud >> for some time, >> Of course. >> so what is it about Cloud Volumes that's unique? >> So I think we're very complementary to the storage offerings that AWS has currently. Like WuxiNextcode is running for traditional database, they are using 53 instances, EC2 instances, that all have EPS volumes. But for the analytic data, it actually gets pushed to NFS. So we are basically just have a more performance solution for shared everything solution. If you compare that to EFS for example, EFS is a great offering that AWS already has, but it doesn't reach into that scale, for example, when it comes to the performance tiers that we are offering. We also offer a differentiator for the customers to be able to clone and snapshot data, and only the tester, not to a full copy. So for example, it's really important for data scientists like WuxiNextcode to always be working on production datasets, for like data scientists. So for them to be able to replicate the data across all different environments, testing, staging, development, and production, they basically only have a small tester difference in all those volumes. Which is really important, instead of always having to copy 40 terabyte chunks, they're basically just taking the different between all of them and using the on tap cloning technology. So that's a very unique value proposition. Another unique value proposition of Cloud Volumes is you can automatically or dynamically change the performance tiers of the volume. So you can go from standard, premium, to extreme dynamically, based on when you actually need that extra level of performance. So you don't need to be continuously running at extreme, but only when you actually need to. >> So Háken, what was it about the Cloud Volumes that got your attention initially, that said "actually, this is something "that we should probably look at." >> I mean, so a little bit of a background, we kind of grew out of an environment where we were sort of evolving our architecture around an HPC cluster architecture with highly scalable storage, and actually we were using NextApp storage in our early days when we were developing. Then as we moved into the clouds, we were somewhat struggling with the NFS scalabilities that were available in the cloud. So I sort of like to say that we are kind of reborn now in the clouds, because we have lots of interactive analytics that are user-driven, so high-speed IO is fundamental in our analysis. And we were in a way struggling to self-manage NFS storage in the clouds. And now, Cloud Volumes was in a way, sort of like a dream come true. It's a lot of simplification for us in terms of deployment and management, to have a scalable service providing the NFS sort of service to our applications. So it was a perfect marriage in that regard. It fitted very well with our architecture, even though we use some of our storage relies on optive storage, but all the interactive analytics are performing way better using NFS storage. >> Yeah, Hákon, were there reservation making this move? I mean when, or capabilities that you thought maybe it sounds good, but I don't know if you can deliver on that and things on which you've been pleasently surprised? >> To a certain extent, because we had actually tried several experiments with other solutions, trying to solve sort of the NFS bottleneck for us, and so when we tried this it actually went extremely smoothly. We onboarded 50 terabytes of data over less than a weekend. And when we ran our first sort of test cases to see whether this was working as expected, we actually found it worked over three times better than with our conventional storage. And not only that, there were certain use cases that we had never completed really to the full end, and we were finishing them in times that we were very pleased with, so. >> I mean they were actually running, I mean our goal for the workshop that we did, and we've been doing this with a lot of customers, one of the sort of challenges Hákon came up with was query, a genome query that he created that he was never able to complete. And he wanted to see if by switching this out, he could actually complete that query. And it used to time out in like three or four hours in his time down. >> It was essentially a query that was touching on something on the the order of 20 trillion data points, so we were using lots of quartz. We have a database solution that we have developed which is sort of a proprietary database for genomic analytics, and it was spending up over 500 quartz essentially. And so it was a very kind of a IO intensive query. But as I said, we were able to run that to completion actually in a time that we were very satisfied with, so. >> That's pretty amazing. >> Yeah. >> Absolutely. >> So Hákon, what's your impression of NetApp's data fabric vision? They've been talking about that for a little while, and I'm just curious to hear what your take on it is. >> Yeah, I think it makes a lot of sense. I mean, we work with many pharma customers that have lots of data locally, but are also looking at the cloud as a solution for growth and for new endeavors. And having a data fabric infrastructure that allows you to bridge the two I think is something makes a lot of sense with where people want to go in the future. >> Yeah, what are you hoping to hear from Amazon and the show around that idea of being able to live outside of the cloud? Traditionally, Amazon's been very keen on saying, "no, no, everything must be here and in the cloud." They're not so keen on this idea of a data fabric that could move things around in different locations. What are you expecting to hear from them this week? >> I mean, I wouldn't say so much that I'm expecting to hear something, but it's clear for me that customers are more willing now to go into the cloud, but regardless of that, there's still certain reasons to keep certain infrastructures still where it is, moving legacy infrastructure into the cloud may not be necessarily the best way forward, rather to be able to integrate it more seamlessly with the cloud and evolve the new functionality, new features in the cloud. And also there are some, I wouldn't call it privacy, but there are lots of data sets that people are reluctant to move into the cloud still because of the way they are managed, et cetera. And being able to bridge those two things is something that I think is valuable for our customers. >> I actually don't think that the decision to move into the cloud, it's never been a cost decision, in my opinion. It is for companies to actually be able to compete with other companies within their sector and to take advantage of the rapid innovation that is happening in the cloud. I mean, if you take autonomous vehicles for example, the companies that are actually in the cloud and taking advantage of like Changemaker and like this deep learning and machine learning algorithms, it's really hard to compete with AWS, it's really hard to compete with Google or Azure. These are really big companies that are pouring a lot of money into innovation. So I think it's always, it's driven by necessity to stay competitive, to go into the cloud, and being able to tap into that innovation. This actually brings into the sort of, what does it mean to be cloud native? If you're cloud native, it means that your solution, even though it's being serviced through a marketplace, it needs to be able to tap into that innovation. You need to connect to that ecosystem that AWS has. To me, that's a much stronger driving force to drive those legacy applications into the cloud. But with the data fabric, we want to really bridge the gap. So it should be relatively easy for your application or your workload to find the best hope at any given time. Whether that's on premise of in the public cloud, you should have like a, an intelligent way of deciding where each one of your workloads should go. And that's the whole point of the data fabric. Make that really, really easy. >> Well you said the partnership's been about four months, so you're still in the honeymoon, but here's to continued success and thanks for being with us here on the Cube. We appreciate it. >> Thank you so much for having us. >> We are happy to be here. >> Have a great show. Back with more, we are live here on the Cube at AWS re:Invent and we'll be back with more in just a moment. (energetic music)

(electronic music) >> Announcer: Live from Las Vegas, it's theCUBE. Covering NetApp Insight 2018. Brought to you by NetApp. >> Welcome back to theCUBE's continuing coverage of NetApp Insight 2018. From the Mandalay Bay in Las Vegas. I'm Lisa Martin with Stu Miniman and we're welcoming back to theCUBE one of our alumni, Jennifer Meyer, Senior Director of Cloud Product Marketing at NetApp. And welcoming to theCUBE Alok Arora, Senior Director of Cloud Data Services and the Product Owner for NetApp Cloud Advisor, which we'll talk about today. So guys, the keynote this morning, one of the things that George Kurian, your CEO, whose going to be on the program I think next with Stu and me, talked about the four pillars of digital transformation, and one of them was hybrid and multi-cloud is now the de facto architecture. Jennifer, from a cloud marketing, product marketing stand point, how is NetApp engaging with your customers, both your install base enterprise customers and engaging with new customer to help them evolve a successful multi-cloud strategy? >> Well what's funny about that is it's not really even up to us, it's up to the customer and where they're at today, meeting them there and then taking them kind of to that destination that's interesting or important for them. And what we know today is that not only are customers in the cloud because they want to be close to innovation, that's one of our big themes, inspiring innovation with the cloud, but they've got their hands in multiple clouds. And studies show that at least 80-81% of customers are doing multi-cloud with two or more public clouds, and I think that's really interesting, you know I think that in some cases it's because their end uses, or their customers, have chosen a cloud that they want to go with and so they're trying to service those needs where they exist, but also maybe they realize that they want to subscribe or consume services in one cloud versus what's available in another cloud, and so it's not our job really to tell them where to go, it's to make sure we've got a consistent seamless amount of services to give these customers to consume, wherever they may be, in whichever public cloud. >> Yeah, well I like what you said, meeting them where they are, cause I think in some ways we're giving customers a little bit of credit that this was actually planned for as to how they got to where they are, you know I'm sure if we took that 81% that say they know they're multi-cloud, if we go with the other 19%, most of them are probably multi-cloud and just don't realize it. >> Jennifer: Absolutely. >> Because just like we had an IT in the old day, I have an application, a business unit, or somebody drives something, and oh my gosh, that's how we ended up with silos, we ended up breaking those things apart. >> Or shadow IT, right? You've got a lot of developers that know exactly what tools they want. >> We had a good discussion with Anthony Lye and Ted Brockway talking about Azure and some unique functionality that NetApp's looking to drive into that partnership with Microsoft. I wonder if we could step back, if you could help us understand kind of the cloud portfolio of NetApp, people that just know NetApp as "Oh it's, that's that filer company that I've probably "got a lot of products from." The multi-cloud has been evolving, for quite a few years now, so I want to help understand the breadth and depth of the offering. >> That's right and I think you know we always think about it almost like a four layer stack, in terms of our strategy and what we're doing to bring more of these innovative data services to our install base to your point, but also our net new buyers, folks that are coming to us through Microsoft Azure, or Google Cloud, or AWS, and so it really does start with our legacy and our foundation of, in this case, cloud storage, and the data services, or the advanced data management that's built upon those storage protocols. So of course it's NFS, NSMB, but when you think about being able to offer that, and compliment what's available in the public clouds today, because that's why they've chosen to partner with NetApp. On top of that we are delivering advanced services in those public clouds that have never been available before, things like automatic snapshots, or rapid cloning, and backup, and tiering, and I think it's really important because what it does is it extends our customers' experience from On-prem into the public cloud, without having to sacrifice a thing. >> Alok, it's a tough thing that customers are trying to figure out. When I look at it and talk to customers, they've got an application portfolio. What are they modernizing? What are they starting from fresh? And then they've got all the other stuff that they have, how is NetApp helping with what they do? >> Yeah, absolutely, I think that's a great point. So you talked about the offerings that we have with multi-cloud and that creates all the options for future state architecture, I can build there, however, in order to understand how do I get there I need to understand where I am today, right? So we start looking at your current state footprint, we look at our customer's current state footprint. Understand how it is architected. How it is designed, how it is serving up the applications. Because it can be really a tedious job to get started, to get to the cloud and building the roadmap. So what Cloud Advisor does is it leverages active IQ data to get that inside for us and be leveraging data science, machine learning, to give them a guidance as to how they can get there. What should be their migration approach. How should they build a transition strategy. Because a lot of times they would call the consultants to help with the transition strategy, at the end they get a PowerPoint, which is not very actionable. We started this grounds up, we understand their detail you know, how the stuff, the bits and bites, are organized so we start giving them an actionable strategy they can execute upon. So that's really Cloud Advisor geared for accelerating that journey to the cloud that our customers should be taking to. >> How are you guys helping customers to start embracing emerging technologies, IoT devices, we had Ducati on this morning, a MotoGP bike is basically an IoT device, but in terms of, Jennifer you talked about this, and Alok you reinforced it, you are basically co-developing in partnership with your customers, it's about where they, helping them understand where they are, what they can do today. How are some of the services helping them to be able to harness the power of AI, say for example, to work with data authority to use that data for actionable business insight, and outcomes? >> Yeah it's interesting you talk about the IoT, I think NetApp saw that 20 years ago. I mean ASAP is our original IoT, that is what we get billions of data points from our customers. Controllers, millions of controllers worldwide, and we build on that mirror data, and we apply the artificial intelligence in there. We actually start looking at classifying their applications so that, if they have a strategy driven by the application, as you were saying, hey there is a director from a BU, from majority point of view, we want to take these applications in the cloud. How do you figure out what application are? Where does the data live? How does it governed? We figure that out by that IoT data, by that artificial intelligence and also making sure that these applications, no work loads are left behind because applications can be complicated they talk to each other. So when you start thinking about taking one part of the application, you also want to make sure the other parts that make that application whole also go to the cloud. And that is where we're leveraging Artificial Intelligence to cluster these applications and recommending the customer that: "Hey don't make, don't leave these workloads behind "because otherwise you're going to have a failed strategy." So we warn them upfront to make sure they're successful when they start making the executions. >> I think another piece to that too is just the fact that for many years we've had workloads just trapped On-prem. They haven't had a place to go into the public cloud without a ton of refactoring or rearchitecting, right. You'd have to rewrite them for objectory. You'd have to do a lot of manual labor and things just to make it happen. In most cases it hasn't been worth it. And so when you looked at the fact that about 80% of On-prem files where in NFS V3 protocol, there wasn't really a place in the public cloud to match that and so by even just delivering Cloud Volumes Service for Google Cloud and AWS or Azure NetApp Files which is the version for Azure, we're able to give customers an, a way to free up that trapped set of workloads, put those into the public hub, so that it then can be available to all of those advanced services that live on those public clouds to do things like Big Data Analytics or to do developing, you know, applications and services of their own and for their own benefit. >> You Know. >> Yeah I think that's a great point because >> He's so excited.| >> Sorry. >> Because when you start looking at building your strategy you want to have confidence in your strategy. >> Jennifer: right. >> So, with your protocols and all that discovery. We also not only give you the option that NetApp offers but show you what are the other options you have within Hyperscalers and how would your workload perform with NetApp technology. So you can move with confidence, right. So that's the good part of about Cloud Advisor to make sure you're moving with confidence not just, you know, with a blind spot with you. >> You know one of the transitions we've been watching is really the ascendancy with the developer in DevOps. And I've talked to the SolidFire team for many years, I see them at some of the shows that we've been covering. In the Keynote this morning George Kurian said that Kubernetes and Istio are the multi-Cloud control plane. Jennifer I'm wondering if you can help explain the StackPointCloud acquisition. >> Jennifer: (agrees) >> Some people that might not have the context of about what NetApp and SolidFire, even before the acquisition were doing. You know, we're being like: "Wait I don't understand, you know." >> Sure. >> Kubernetes is something That you know Google and you know, Red Hat and others are doing. >> Why is NetApp talking about Kubernetes? >> Why is NetApp talking about Kubernetes? >> And we even learned what the abbreviation for is was. >> Stu: K8s. >> It's like we're all hip. Absolutely. >> Absolutely, just because. >> It's all about concatenate long words together. So it, it's really interesting because when I talked about that four layer strategy, right the third layer. So it's you know cloud storage at the bottom. Then it's the advanced capabilities and data management above that. But the one that's next is orchestration and integration. And there's really a few things that live in there. You know, the, our cloud orchestration sort of technology is really what we got from our Qstack acquisition. Our teams in Iceland and what they've been able to do largely to underpin a lot of what we've seen with cloud volume service today. But certainly right in there is NetApp Kubernetes service, which as you now know, is from our StackPoint intellectual property. And so back on September 18th, when we announced this acquisition it was really to kind of give our developers and our DevOps folks a way to finally start solving for some of that data gravity that I think we've been periled by over the last few years. And what we now know is Kubernetes is the operating system of the clouds, right. It is the clear winner of container orchestration among things so it made a lot of sense to pair that kind of multi-cloud orchestration again given our strategy to be where our customers want to be with some of our cloud orchestration technology from our Qstack acquisition and make sure that with Trident and some of the ways that we're able to deliver finally persistent storage to those containers. I mean this is like a match made in heaven. Right, we're going to give people the way to make sure that they know that containers are a femoral and data is not. So let's help them do kind of all the things that they want to do in the clouds if they want to do them. >> I think I read on line that, was the StackPointCloud acquisition based on after actually NetApp used it internally. >> Jennifer: Yes. >> Tell us a little bit more about that. Because I think the NetApp on that up story is probably something that could be leverage, you're a marketer, as a differentiator when customers have so much choice. >> Well and I feel like it's a story that every vendor should be forced to tell. If you're not willing to use your own IP and technology what is that saying to your customers. >> Lisa: Yeah. >> So it is true and a lot of our developer teams, if you've hear of Jonsi Stefansson and Anthony Lye's team, that is how this sort of came about as we were looking for a way to sort of do it ourselves. And we thought man through all this investigation there's something here. There's something that we shouldn't hold to ourselves and we should share with the rest of the world. And so at one point we need to get those guys on with you as well so they can tell a little bit more about their story. >> So proof is always in the pudding. Can you give uan example of one of your favorite customer stories. We'll start with you Alok. Who have really embraced the clouds, first of all helped you develop the optimal cloud services are now really achieving big business benefits with the cloud services NetApp is developing. >> Yeah so, several of the customers as we talked to you and specially for Cloud Advisor, as we were looking at their journey as they were starting to think about how much money they were spending upfront to figure out a strategy, they had a strategy driven by a data center that was, were the lease was coming up, and so they had to plan to evacuate that data center into the cloud from there they need to figure out what applications they're running there obviously the virtualization also was there, so that had to be configured in the cloud. So we started thinking about in that use case that we need to provide these triggers and strategy points to our customers. At the same time the other shift that we saw was that these guys were not just talking amongst the infrastructure teams, they had to talk to the application owners and they had to have conversations with CFO's to talk about the economics of the clouds. So we made sure that when we build this that give them the tools that enable them to talk to various stakeholders. Give them the application footprint that is running there. Give them the economics. What it is going to cost to run these applications and workloads that they have identify too when they're in the cloud. So give them the data point that they can go and talk to their CFO. So with that really it starts shaping a product that will meet their needs and meet the needs of all of our customers. >> Lisa: Jennifer, favorite customer example. >> Oh, it's easy this week because it's all about WuXi NextCODE and I don't know if you picked up on any of their story cause we've plastered it around our conference this week because we're so proud of, not only what they're doing as a mission which is very impressive in terms of genomics sequencing and the scale at which they're doing it but the fact that they've based their foundation now on NetApp Cloud Volume services is huge. And really what they came to us and said is: "Look, we are trying to sequence all of these genomes "in parallel and our benchmark is really to look at about "a hundred thousand individuals at once." When they were trying to do that on their own, using there own self-managed storage in the cloud, they could never complete it. It would either fail or they would have some sort of a problem where they just couldn't get it to work. And with NetApp Cloud Volume Service they were able to complete in about 45 minutes. And so what their finding is again with this extreme performance, with the ability to scale and most importantly the tie it back to our discussion, it's multi-cloud, they themselves are multi-cloud because of their big pharma and hospitals that they serve. They have customers in every one of those public clouds and so we are able to help them where ever they need us to be. And that's very exciting. >> It's also one of those great examples that everybody understands. Genomic sequencing related to healthcare, you know disease predictions and things like that. So it's a story that resonates well. >> Jennifer: Sure. >> But something that you just said sort of reminded me of one of the four principles that George Kurian talked about this morning. And speed is the new scale. And this sounds like a customer who's achieving that in spades. >> Well it's so fun because I think for a long time we've been really fast On-prem and I think people have just sort of come to expect a certain level of it's good enough in the public cloud and what we're showing them in droves again on AWS GCP or with Azure is that you should expect more. Particularly for high-performance computing workloads or things that you really just, if you're moving your SAP workloads to the cloud and speed is, there is no option it has to be fast. We are showing people now possibilities that they didn't ever dream of before because of this extreme performance through things like Cloud Volumes Service. >> It's really too bad you guys aren't excited about this. (laughs) >> I know how much longer do you have? >> (laughs) Jennifer, Alok, thank you so much for stopping by and having a chat with Stu and me. And talking about how customers are really helping NetApp become a data authority that they need to be to help customers become data driven. We appreciate your time. >> It's our pleasure. >> Have a great time at the rest of the show. >> Thank you. >> Thank you both. >> Thank you. >> For Stu Miniman, I'm Lisa Martin. You're watching theCUBE live from NetApp Insight 2018, from Mandalay Bay, Las Vegas. Stick around Stu and I will be back shortly with our next guest. (electronic music)

>> Narrator: Live from Las Vegas it's theCUBE covering NAB 2017. Brought to you by HGST. (techno music) >> Hey welcome back everybody. I'm Jeff Frick and you're watching theCUBE. We're at NAB 2017. A hundred thousand people, Las Vegas Convention Center. The place is packed from top to bottom, 3 halls, 2 floors. Hopefully you can find theCUBE if you're looking to find us. It's hard to find it. A lot of people here. We're excited to be joined by I think the best title of anyone that we've had on the show over the last couple days. It's all about content, but at the end of the day you got to find content creators. And we've got one here. Lucas Gilman lists as adventure photographer, filmmaker, and G-Technology, GTeam ambassador. Lucas, great to see you, thanks for stopping by. >> Thanks for having me. >> So tell us a little bit about your company. I know you're an independent photographer, videographer. Some of the work that you do, some of the stuff that keeps you busy from Monday 9 to 5. >> Exactly. So a small film production company. We also do stills. So it's sort of a one-stop shop for a lot of brands that I work with. We're basically trying to service everything from still images for advertising purposes and commercial purposes to video for commercials, advertisements, and/or stock use. >> So as you look around, the ways that you can now capture imagery, I'll just say as a more generic term, with 360 cameras and drones and regular photography and GoPros and all of this different stuff. I mean, what a palate of tools that you have to work with. >> It's amazing how the technology is really changed. I remember that when I first started out in the photography and digital photography, we would have 16 megabyte cards and now I'm using SanDisk cards that are 256 gigabytes. And the -- >> The 1 T's are coming, I keep seeing >> Lucas: Yeah, yeah exactly. - the 1 terabytes are coming. >> We're excited to get some of those. (laughing) But yeah, it's crazy that sensor technology keeps getting better, more pixels, more data. Which really throws sort of another monkey wrench into your solution because the cameras are getting higher capacity every year. We just shot a project in Iceland with a RED 8K Helium camera. That's a 36 megapixel still camera essentially, but shooting 24 frames or 30 frames per second of data. So we're talking, we shot 24 terabytes in a week. (laughing) >> 24 terabytes in a week. >> Lucas: In a week. >> Yeah so definitely adds a whole other layer of complexity now. Because now you can shoot so much, you can shoot at such higher res. Now you got to capture that stuff, you got to store it, you got to manage it. >> Lucas: And back it up. >> And back it up. >> And because, it's digital right? It's ones and zeros and once those are gone, they're gone forever. So my typical strategy is to have everything in three places. It's kind of the rule. Two, usually in the office. We have a primary copy and then a copy that doesn't ever go anywhere. And then we also have one off-site, so in the unexpected event of a fire, flood, tornado, or getting robbed or something like that, you still have those assets at home. >> Right, right. So I assume that's how you got involved with G-Technology to begin with. >> Yeah, it really started with when I was younger I had an unfortunate incident where brand X had a failure and I went out and found these G-DRIVE minis, which are amazing. I buy three of them per trip. And I reached out to them and sort of told them the story and they had this team that they were putting together and I was fortunate enough to be asked to be a part of that team. >> Okay so what's the mission of the team. What is a GTeam ambassador? >> The GTeam ambassadors are basically, they pick people in different disciplines whether you're a wedding photographer, or a filmmaker, and they basically pick people that are hopefully the best at what they do. Because as a photographer and a filmmaker, I'm out in the public a lot and people ask me, "What kind of camera should I buy? What kind of hard drive should I buy?" So our mission is to go out and educate people on not only the products we that use in our workflow that we rely on for our livelihood, but to really educate people and say, "Hey, you know I know you may never be shooting the Tour de France or going to Iceland and shooting expedition but this is how you could back up your images from your wedding or your kid's soccer game or something like that." >> Jeff: Right, right. >> So sort of an educational role as well as hopefully a little bit of inspiration as well. >> Right. And when it comes down to it, you mention that you used another product that failed you. That's like the old days and you forget to save your Word document, right? It only happens once. >> Lucas: Exactly. It happens once. (laughing) >> It's a very painful experience. >> Right, right. So I mean, is it just reliability? Is there something else in these G-DRIVEs that you like? Obviously reliability is A number one but is there more to it than that? >> Totally. So I was really drawn to the G-Technology because they're really the only ones, or were the only ones, that were putting enterprise class hard drives into enclosures. And people say, well what's the difference? And to me, you're getting a professional product. It's something that's going to last longer. It's meant to be put in an enclosure, in a RAID array. Because like I said, everything needs to be backed up and once it's gone, it's gone. And face it, there's a lot of people that want to be photographers these days. And filmmakers. And I can't go to a client and say "Oh it didn't work out." You know? (laughing) There's no take two. No second chance, you know so. So I really, it is the backbone of my business. Whether you're a restaurant or a photographer, you are providing a product or a service, and if it doesn't work out for somebody, they're not going to come back. >> Right. And it is so easy to go to the alternative. Now what about about Cloud? Is Cloud part of your workflow? >> It is. I'm getting more and more into it. I'm using different resources. But I don't rely on the Cloud as my primary backup. It's a way that's convenient for me to get images to clients or video clips or finished products because then I'm not shipping a drive across the country via FedEx or whatever. So it's another tool in the arsenal. I don't rely on it exclusively, but I feel like it is an important and powerful tool to be able to distribute assets and at the end of the day, make it more convenient for everybody involved. >> So what did you say, 24 terabytes in Iceland. >> 24 terabytes. >> What was the coolest part of that trip? >> Ice caves. >> Ice caves. >> We went into these caves that literally have streams coming out them that the ice they were saying is like 10,000 years old. And you're like the first person to touch this ice. It's really, really crazy. >> And how many people on that shoot? >> We had 6 people. So we had a professional athlete, a surfer. I typically shoot adventure sports and travel. So we brought a professional surfer, we had a MOBI operator, a camera operator, and a grip, - [Jeff] Right. >> an assistant to help out. >> I'm just curious your point of view, right. Even in commercials and advertisements and stuff, still a story narrative, right? It's got to be part of the equation. It's what pulls everything together. >> Story is king, and the second part of that is the quality of the production has to be there. Whether it's the video quality, the content, and/or the sound, all those things are integral keys to being successful. >> So do you find... I just, you know, there's so many toys here. It's like toy heaven for production people. Is it easy to get distracted from the storytelling because of all the toys? How do you begin to integrate and experiment with drones, whether it's your footage, or some of these other tools, and yet kind of stay true to a beautiful narrative that someone's going to be interested in consuming. >> Well it goes back to that thing we were all taught. KISS, right? Keep it simple, stupid. We use drones. We shoot in the water. We use all these tools. But the minute that that tool becomes so heavy that it takes away from being able to tell that story, that's when we've got to be careful because you can get sucked into trying to do a steadicam shot or a MOBI shot all day and all of a sudden you've wasted a whole day if something's not working. So you got to be consistent about what the vision is and your storyboard is because, yeah. Walking around the halls here there's a helicopter you can ride in now all of a sudden. It's like a mini drone. And, I do feel like a kid in a candy store. But you need to make sure that you're not getting so focused on the technology that you're not focusing on that storyline. Because that's really what clients will come back for. It's because as a creative, anybody can go out and automate things and make drone shots and this and that, but it's that story that really ties it all together. >> Right. And I think it's just really interesting how your photography background, more freely into multimedia, right? Which includes video and all the permutations that there are. I saw a cool thing where I guess you can unwrap the 360s so now you get this new kind of artistic, kind of ball impression. So the options are so huge for you right now. >> Yeah, it's really, the sky's the limit. As a professional, I need to make sure that I'm staying up with technology because really the technology is so accessible now from people taking images with their cameras and/or videos. I need to make sure that I'm setting myself apart from that demographic by doing something as a professional that is something that they can't offer. >> Right alright, I'll let you get a plug in so we can go in and see the Iceland footage. Where should people go to take a look at some of your work? >> So they should go to gtechnology.com. There'll be that Iceland. And they'll also be some workflow involved in that video so the people might actually learn something about what they might do to back up their images and/or videos. >> Alright Lucas, well hopefully maybe you got an extra room for a gofer or something on your next trip. And I can come help schlep pumpkins for you. Alright. Lucas Gilman, thanks for stopping by. >> Thanks for having me. >> He's Lucas Gilman and I'm Jeff Frick. You're watching theCUBE. We're talking about G-Tech and really cool movie making, media making. It's all about media and technology here at the NAB 2017. Thanks for watching. (techno music)