(energetic instrumental music) >> Hey, everyone. Welcome to SiliconANGLE CUBE News here from Mobile World Congress. This is a Mobile World Congress news update. Dell in the news here partners with leading infrastructure companies, Dell Technologies, really setting up an ecosystem. Here, Dell, with leading telecom and infrastructure players accelerating the network adoption, announcing that it's launching the Dell's Open Telecom Ecosystem community. A community of multiple telecom partners and communication service providers aimed at becoming a unifying force in the telecom industry. This announcement comes just days after Dell introduced a host of new hardware, platforms designed to help the teleconference build cloud-native open radio network access, also called RAN architectures, using proprietary and sub-components for various suppliers. Dell's Open Telecom Ecosystem community has already partnered with Nokia, Qualcomm, Amdocs and Juniper Networks to create new offerings aimed at accelerating open RAN price performance for communication service providers. This includes creating a new virtual RAN offering using Open Telecom Ecosystem Labs, and as the center for testing and validation, building next-generation 5G virtualized distributed units and deploy and automated validated 5G-SA network with various partners across the ecosystem. Dell's promising that this is just the beginning of the collaboration with the telecom industry as it seeks to accelerate the adoption of 5G networking technologies and solve key industry challenges. More action's on the ground, go to thecube.net, theCUBE is broadcasting live for four days, Dave Vellante, Lisa Martin. I'm in the studios in Palo Alto bringing you the news. Lot of action happening, of course. Go to siliconangle.com to catch all the breaking news. We have a special report. We already got 10 plus stories already flowing. Probably have another 10 today. Day two tomorrow as MWC continues to power more news coverage for the edge and cloud-native technologies. (pensive ambient music)

>> Hello everyone. Welcome to theCUBEs coverage of Compute Engineered for your Hybrid World sponsored by HPE and Intel. Today we're going to dive into advanced performance of VDI with the fourth gen Intel Zion scalable processors. Hello I'm John Furrier, the host of theCUBE. My guests today are Alan Chu, Director of Data Center Performance and Competition for Intel as well as Denis Kondakov who's the VDI product manager at HPE, and also joining us is Cynthia Sustiva, CAD/CAM product manager at HPE. Thanks for coming on, really appreciate you guys taking the time. >> Thank you. >> So accelerating VDI to the Edge. That's the topic of this topic here today. Let's get into it, Dennis, tell us about the new HPE ProLiant DL321 Gen 11 server. >> Okay, absolutely. Hello everybody. So HP ProLiant DL320 Gen 11 server is the new age center CCO and density optimized compact server, compact form factor server. It enables to modernize and power at the next generation of workloads in the diverse rec environment at the Edge in an industry standard designed with flexible scale for advanced graphics and compute. So it is one unit, one processor rec optimized server that can be deployed in the enterprise data center as well as at the remote office at end age. >> Cynthia HPE has announced another server, the ProLiant ML350. What can you tell us about that? >> Yeah, so the HPE ProLiant ML350 Gen 11 server is a powerful tower solution for a wide range of workloads. It is ideal for remote office compute with NextGen performance and expandability with two processors in tower form factor. This enables the server to be used not only in the data center environment, but also in the open office space as a powerful workstation use case. >> Dennis mentioned both servers are empowered by the fourth gen Intel Zion scale of process. Can you talk about the relationship between Intel HPE to get this done? How do you guys come together, what's behind the scenes? Share as much as you can. >> Yeah, thanks a lot John. So without a doubt it takes a lot to put all this together and I think the partnership that HPE and Intel bring together is a little bit of a critical point for us to be able to deliver to our customers. And I'm really thrilled to say that these leading Edge solutions that Dennis and Cynthia just talked about, they're built on the foundation of our fourth Gen Z on scalable platform that's trying to meet a wide variety of deployments for today and into the future. So I think the key point of it is we're together trying to drive leading performance with built-in acceleration and in order to deliver a lot of the business values to our customers, both HP and Intels, look to scale, drive down costs and deliver new services. >> You got the fourth Gen Z on, you got the Gen 11 and multiple ProLiants, a lot of action going on. Again, I love when these next gens come out. Can each of you guys comment and share what are the use cases for each of the systems? Because I think what we're looking at here is the next level innovation. What are some of the use cases on the systems? >> Yeah, so for the ML350, in the modern world where more and more data are generated at the Edge, we need to deploy computer infrastructure where the data is generated. So smaller form factor service will satisfy the requirements of S&B customers or remote and branch offices to deliver required performance redundancy where we're needed. This type of locations can be lacking dedicated facilities with strict humidity, temperature and noise isolation control. The server, the ML350 Gen 11 can be used as a powerful workstation sitting under a desk in the office or open space as well as the server for visualized workloads. It is a productivity workhorse with the ability to scale and adapt to any environment. One of the use cases can be for hosting digital workplace for manufacturing CAD/CAM engineering or oil and gas customers industry. So this server can be used as a high end bare metal workstation for local end users or it can be virtualized desktop solution environments for local and remote users. And talk about the DL320 Gen 11, I will pass it on to Dennis. >> Okay. >> Sure. So when we are talking about age of location we are talking about very specific requirements. So we need to provide solution building blocks that will empower and performance efficient, secure available for scaling up and down in a smaller increments than compared to the enterprise data center and of course redundant. So DL 320 Gen 11 server is the perfect server to satisfy all of those requirements. So for example, S&B customers can build a video solution, for example starting with just two HP ProLiant TL320 Gen 11 servers that will provide sufficient performance for high density video solution and at the same time be redundant and enable it for scaling up as required. So for VGI use cases it can be used for high density general VDI without GP acceleration or for a high performance VDI with virtual VGPU. So thanks to the modern modular architecture that is used on the server, it can be tailored for GPU or high density storage deployment with software defined compute and storage environment and to provide greater details on your Intel view I'm going to pass to Alan. >> Thanks a lot Dennis and I loved how you're both seeing the importance of how we scale and the applicability of the use cases of both the ML350 and DL320 solutions. So scalability is certainly a key tenant towards how we're delivering Intel's Zion scalable platform. It is called Zion scalable after all. And we know that deployments are happening in all different sorts of environments. And I think Cynthia you talked a little bit about kind of a environmental factors that go into how we're designing and I think a lot of people think of a traditional data center with all the bells and whistles and cooling technology where it sometimes might just be a dusty closet in the Edge. So we're defining fortunes you see on scalable to kind of tackle all those different environments and keep that in mind. Our SKUs range from low to high power, general purpose to segment optimize. We're supporting long life use cases so that all goes into account in delivering value to our customers. A lot of the latency sensitive nature of these Edge deployments also benefit greatly from monolithic architectures. And with our latest CPUs we do maintain quite a bit of that with many of our SKUs and delivering higher frequencies along with those SKUs optimized for those specific workloads in networking. So in the end we're looking to drive scalability. We're looking to drive value in a lot of our end users most important KPIs, whether it's latency throughput or efficiency and 4th Gen Z on scalable is looking to deliver that with 60 cores up to 60 cores, the most builtin accelerators of any CPUs in the market. And really the true technology transitions of the platform with DDR5, PCIE, Gen five and CXL. >> Love the scalability story, love the performance. We're going to take a break. Thanks Cynthia, Dennis. Now we're going to come back on our next segment after a quick break to discuss the performance and the benefits of the fourth Gen Intel Zion Scalable. You're watching theCUBE, the leader in high tech coverage, be right back. Welcome back around. We're continuing theCUBE's coverage of compute engineer for your hybrid world. I'm John Furrier, I'm joined by Alan Chu from Intel and Denis Konikoff and Cynthia Sistia from HPE. Welcome back. Cynthia, let's start with you. Can you tell us the benefits of the fourth Gen Intel Zion scale process for the HP Gen 11 server? >> Yeah, so HP ProLiant Gen 11 servers support DDR five memory which delivers increased bandwidth and lower power consumption. There are 32 DDR five dim slots with up to eight terabyte total on ML350 and 16 DDR five dim slots with up to two terabytes total on DL320. So we deliver more memory at a greater bandwidth. Also PCIE 5.0 delivers an increased bandwidth and greater number of lanes. So when we say increased number of lanes we need to remember that each lane delivers more bandwidth than lanes of the previous generation plus. Also a flexible storage configuration on HPDO 320 Gen 11 makes it an ideal server for establishing software defined compute and storage solution at the Edge. When we consider a server for VDI workloads, we need to keep the right balance between the number of cords and CPU frequency in order to deliver the desire environment density and noncompromised user experience. So the new server generation supports a greater number of single wide and global wide GPU use to deliver more graphic accelerated virtual desktops per server unit than ever before. HPE ProLiant ML 350 Gen 11 server supports up to four double wide GPUs or up to eight single wide GPUs. When the signing GPU accelerated solutions the number of GPUs available in the system and consistently the number of BGPUs that can be provisioned for VMs in the binding factor rather than CPU course or memory. So HPE ProLiant Gen 11 servers with Intel fourth generation science scalable processors enable us to deliver more virtual desktops per server than ever before. And with that I will pass it on to Alan to provide more details on the new Gen CPU performance. >> Thanks Cynthia. So you brought up I think a really great point earlier about the importance of achieving the right balance. So between the both of us, Intel and HPE, I'm sure we've heard countless feedback about how we should be optimizing efficiency for our customers and with four Gen Z and scalable in HP ProLiant Gen 11 servers I think we achieved just that with our built-in accelerator. So built-in acceleration delivers not only the revolutionary performance, but enables significant offload from valuable core execution. That offload unlocks a lot of previously unrealized execution efficiency. So for example, with quick assist technology built in, running engine X, TLS encryption to drive 65,000 connections per second we can offload up to 47% of the course that do other work. Accelerating AI inferences with AMX, that's 10X higher performance and we're now unlocking realtime inferencing. It's becoming an element in every workload from the data center to the Edge. And lastly, so with faster and more efficient database performance with RocksDB, we're executing with Intel in-memory analytics accelerator we're able to deliver 2X the performance per watt than prior gen. So I'll say it's that kind of offload that is really going to enable more and more virtualized desktops or users for any given deployment. >> Thanks everyone. We still got a lot more to discuss with Cynthia, Dennis and Allen, but we're going to take a break. Quick break before wrapping things up. You're watching theCUBE, the leader in tech coverage. We'll be right back. Okay, welcome back everyone to theCUBEs coverage of Compute Engineered for your Hybrid World. I'm John Furrier. We'll be wrapping up our discussion on advanced performance of VDI with the fourth gen Intel Zion scalable processers. Welcome back everyone. Dennis, we'll start with you. Let's continue our conversation and turn our attention to security. Obviously security is baked in from day zero as they say. What are some of the new security features or the key security features for the HP ProLiant Gen 11 server? >> Sure, I would like to start with the balance, right? We were talking about performance, we were talking about density, but Alan mentioned about the balance. So what about the security? The security is really important aspect especially if we're talking about solutions deployed at the H. When the security is not active but other aspects of the environment become non-important. And HP is uniquely positioned to deliver the best in class security solution on the market starting with the trusted supply chain and factories and silicon route of trust implemented from the factory. So the new ISO6 supports added protection leveraging SPDM for component authorization and not only enabled for the embedded server management, but also it is integrated with HP GreenLake compute ops manager that enables environment for secure and optimized configuration deployment and even lifecycle management starting from the single server deployed on the Edge and all the way up to the full scale distributed data center. So it brings uncompromised and trusted solution to customers fully protected at all tiers, hardware, firmware, hypervisor, operational system application and data. And the new intel CPUs play an important role in the securing of the platform. So Alan- >> Yeah, thanks. So Intel, I think our zero trust strategy toward security is a really great and a really strong parallel to all the focus that HPE is also bringing to that segment and market. We have even invested in a lot of hardware enabled security technologies like SGX designed to enhance data protection at rest in motion and in use. SGX'S application isolation is the most deployed, researched and battle tested confidential computing technology for the data center market and with the smallest trust boundary of any solution in market. So as we've talked about a little bit about virtualized use cases a lot of virtualized applications rely also on encryption whether bulk or specific ciphers. And this is again an area where we've seen the opportunity for offload to Intel's quick assist technology to encrypt within a single data flow. I think Intel and HP together, we are really providing security at all facets of execution today. >> I love that Software Guard Extension, SGX, also silicon root of trust. We've heard a lot about great stuff. Congratulations, security's very critical as we see more and more. Got to be embedded, got to be completely zero trust. Final question for you guys. Can you share any messages you'd like to share with the audience each of you, what should they walk away from this? What's in it for them? What does all this mean? >> Yeah, so I'll start. Yes, so to wrap it up, HPR Proliant Gen 11 servers are built on four generation science scalable processors to enable high density and extreme performance with high performance CDR five memory and PCI 5.0 plus HP engine engineered and validated workload solutions provide better ROI in any consumption model and prefer by a customer from Edge to Cloud. >> Dennis? >> And yeah, so you are talking about all of the great features that the new generation servers are bringing to our customers, but at the same time, customer IT organization should be ready to enable, configure, support, and fine tune all of these great features for the new server generation. And this is not an obvious task. It requires investments, skills, knowledge and experience. And HP is ready to step up and help customers at any desired skill with the HP Greenlake H2 cloud platform that enables customers for cloud like experience and convenience and the flexibility with the security of the infrastructure deployed in the private data center or in the Edge. So while consuming all of the HP solutions, customer have flexibility to choose the right level of the service delivered from HP GreenLake, starting from hardwares as a service and scale up or down is required to consume the full stack of the hardwares and software as a service with an option to paper use. >> Awesome. Alan, final word. >> Yeah. What should we walk away with? >> Yeah, thanks. So I'd say that we've talked a lot about the systems here in question with HP ProLiant Gen 11 and they're delivering on a lot of the business outcomes that our customers require in order to optimize for operational efficiency or to optimize for just to, well maybe just to enable what they want to do in, with their customers enabling new features, enabling new capabilities. Underpinning all of that is our fourth Gen Zion scalable platform. Whether it's the technology transitions that we're driving with DDR5 PCIA Gen 5 or the raw performance efficiency and scalability of the platform in CPU, I think we're here for our customers in delivering to it. >> That's great stuff. Alan, Dennis, Cynthia, thank you so much for taking the time to do a deep dive in the advanced performance of VDI with the fourth Gen Intel Zion scalable process. And congratulations on Gen 11 ProLiant. You get some great servers there and again next Gen's here. Thanks for taking the time. >> Thank you so much for having us here. >> Okay, this is theCUBEs keeps coverage of Compute Engineered for your Hybrid World sponsored by HP and Intel. I'm John Furrier for theCUBE. Accelerate VDI at the Edge. Thanks for watching.

>>In late 2009 when the industry was just beginning to offer so-called converged infrastructure, CI Nutanix was skating to the puck, so to speak, meaning unlike conversion infrastructure, which essentially bolted together compute and networking and storage into a single skew that was very hardware centric. Nutanix was focused on creating HCI hyperconverged infrastructure, which was a software led architecture that unified the key elements of data center infrastructure. Now, while both approaches saved time and money, HCI took the concept to new heights of cost savings and simplicity. Hyperconverged infrastructure became a staple of private clouds creating a cloudlike experience. OnPrem. As the public cloud evolved and grew, more and more customers are now taking a cloud first approach to it. So the challenge becomes how do you remodel your IT house so that you can connect your on-prem workloads to the cloud, to both simplify cloud migration, while at the same time creating an identical experience across your estate? >>Hello, and welcome to this special program, Accelerate Hybrid Cloud with Nutanix and Microsoft Made Possible by By Nutanix and produced by the Cube. I'm Dave Ante, one of your hosts today. Now, in this session, we'll hear how Nutanix is evolving its initial vision of simplifying infrastructure, deployment and management to support modern applications by partnering with Microsoft to enable that consistent experience that we talked about earlier, to extend hybrid cloud to Microsoft Azure and take advantage of cloud native tooling. Now, what's really important to stress here, and you'll hear this in our second segment, substantive engineering work has gone into this partnership. A lot of partnerships are sealed with a press release. We sometimes call it a Barney deal. You know, I love you, you love me. Like Barney, the once popular children's dinosaur character. We dig into the critical engineering aspects that enable that seamless connection between on-prem infrastructure and the public cloud. >>Now, in our first segment, Lisa Martin talks to Alro Salise, who is the vice president of Global ISD Commercial Solutions at Microsoft, and Michael Les Chica, who is the vice president of business development for the cloud and database partner ecosystem at Nutanix. Now, after that, Lisa will kick it back to me in our Boston studios to speak with Eric Lockard, who is the corporate vice president of Microsoft Azure specialized, along with Thomas Cornell, who is the senior vice president of products at Nutanix. And Indu Carey, who's the senior vice president of of engineering for NCI and NNC two at Nutanix. And we'll dig deeper into the announcement and it's salient features. Thanks for being with us. We hope you enjoy the program. Over to Lisa. >>Hi everyone. Welcome to our event Accelerate Hybrid Cloud with Nutanix and Microsoft. I'm your host Lisa Martin, and I've got two great guests here with me to give you some exciting news. Please welcome Alva Salise, the Vice President of Global ISD Commercial Solutions at Microsoft, and Michael Les Chika, VP of Business Development Cloud and database partner ecosystem at Nutanix. Guys, it's great to have you on the program. Thanks so much for joining me today. Great to be here. >>Thank you, Lisa. Looking forward, >>Yeah, so let's go ahead and start with you. Talk to me from your lens, what are you seeing in terms of the importance of the role of the the ISV ecosystem and really helping customers make their business outcomes successful? >>Oh, absolutely. Well, first of all, thank you for the invitation and thank you Michael and the Nutanix team for the partnership. The the ISV ecosystem plays a critical role as we support our customers and enable them in their data transformation journeys to create value, to move at their own pace, and more important to be sure that every one of them, as they transform themselves, have the right set of solutions for the long term with high differentiation, cost effectiveness and resiliency, especially given the times that we're living. >>Yeah, that resiliency is getting more and more critical as each day goes on. Ava was sticking with you. We got Microsoft Ignite going on today. What are some of the key themes that we should expect this year and how do they align to Microsoft's vision and strategy? >>Ah, great question. Thank you. When you think about it, we wanna talk about the topics that are very relevant and our customers have asked us to go deeper and, and share with them. One of them, as you may imagine, is how can we do more with less using Azure, especially given the current times that we're living in the, the business context has changed so much, they have different imperative, different different amount of pressure and priorities. How can we help? How can we combine the platform, the value that Microsoft can bring and our Microsoft ISV partner ecosystem to deliver more value and enable them to have their own journey? Actually, in that frame, if I may, we are making this announcement today with Nutanix. I, the Nutanix cloud clusters are often the fastest way on which customers will be able to do that journey into the cloud because it's very consistent with environments that they already know and use on premise. And once they go into the cloud, then they have all the benefit of scale, agility, resiliency, security, and cost benefits that they're looking for. So that topic and this type of announcements will be a big part of what we doing. Ignite, >>Exciting. Michael, let's bring you into the conversation now. Big milestone of our RDTs that the general availability of Nutanix Cloud clusters on Azure. Talk to us about that from Nutanix's perspective and also gimme a little bit of color, Michael, on the partnership, the relationship. >>Yeah, sure, absolutely. So we actually entered a partnership couple years ago, so we've been working on this solution quite a while, but really our ultimate goal from day one was really to make our customers journeys to hybrid cloud simpler and faster. So really for both companies, I think our goal is really being that trusted partner for our customers in their innovation journey. And as mentioned, you know, in the current macroeconomic conditions, really our customers really care about, but they have to be mindful of their bottom line as well. So they're really looking to leverage their existing investments in technology skill sets and leverage the most out of that. So the things like, for example, cost to operations and keeping those things consistent, cost on premises and the cloud are really important as customers are thinking about growth initiatives that they wanna implement. And of course, going to Azure public cloud is an important one as they think about flexibility, scale and modernizing their apps. >>And of course, as we look at the customer landscape, a lot of customers have an on on footprint, right? Whether that's for regulatory reasons for business or other technical reasons. So hybrid cloud has really become an ideal operating model for a lot of the customers that we see today. So really our partnership with Microsoft is critical because together, I really do see our US together simplifying that journey to the public cloud and making sure that it's not only easy but secure and really seamless. And really, I see our partnership as bringing the strengths of each company together, right? So Nutanix, of course, is known in the past versus hyperconverge infrastructure and really breaking down those silos between networking, compute, storage, and simplifying that infrastructure and operations. And our customers love that for the products and our, our NPS score of 90 over the last seven years. And if you look at Azure, at Microsoft, they're truly best in class cloud infrastructure with cutting edge services and innovation and really global scale. So when you think about those two combinations, right, that's really powerful for customers to be able to take their applications and whether they're on or even, and really combining all those various hybrid scenarios. And I think that's something that's pretty unique that we're to offer customers. >>Let's dig into that uniqueness of our, bringing you back into the conversation. You guys are meeting customers where they are helping them to accelerate their cloud transformations, delivering that consistency, you know, whether they're on-prem in Azure, in in the cloud. Talk to me about, from Microsoft's perspective about the significance of this announcement. I understand that the, the preview was oversubscribed, so the demand from your joint customers is clear. >>Thank you, Lisa. Michael, personally, I'm very proud and at the company we're very proud of the world that we did together with Nutanix. When you see two companies coming together with the mission of empowering customers and with the customer at the center and trying to solve real problems in this case, how to drive hybrid cloud and what is the best approach for them, opening more opportunities is, is, is extremely inspiring. And of course the welcome reception that we have from customer reiterates that we generating that value. Now, when you combine the power of Azure, that is very well known by resiliency, the scale, the performance, the elasticity, and the range of services with the reality of companies that might have hundreds or even thousands of different applications and data sources, those cloud journeys are very different for each and every one of them. So how do we combine our capabilities between Nutanix and Microsoft to be sure that that hybrid cloud journey that every one is gonna take can be simplified, you can take away the risk, the complexity on that transformation creates tones of value. >>And that's what a customers are asking us today. Either because they're trying to move and modernize their environment to Azure, or they're bringing their, you know, a enable ordinate services and cluster and data services on premise to a Nutanix platform, we together can combine and solve for that adding more value for any scenario that customers may have. And this is not once and done, this is not that we building, we forget it. It's a partnership that keeps evolving and also includes work that we do with our solution sales alliances that go to market seems to be sure that the customers have diverse service and support to make, to create the outcomes that they're asking us to deliver. >>Talk to me a little bit about the customers that were in the beta, as we mentioned, Alva, the, the preview was oversubscribed. So as I talked about earlier, the demand is clearly there. Talk to me about some of the customers in beta, you can even anonymize them or maybe talk about them by industry, but what, what were some of the, the key things they came to these two companies looking to, to solve, get to the cloud faster, be able to deliver the same sets of services with familiarity so that from a, they're able to do more with less? >>Maybe I could take that one out of our abital lines. It did. It means, but yeah, so like, like we, like you mentioned Lisa, you know, we've had a great preview oversubscribe, we had lots of, of cu not only customers, but also partners battle testing the solution. And you know, we're obviously very pleased now to have GN offered to everyone else, but one of our customers, Camper J was really looking forward to seeing how do they leverage Ncq and Azure to, like I mentioned, reduce that work workload, my, my migration and a risk for that and making sure, hey, some of the applications, maybe we are going to go and rewrite them, refactor them to take them natively to Azure. But there's others where we wanna lift and shift them to Azure. But like I mentioned, it's not just customers, right? We've been working with partners like PCs and Citrix where they share the same goal as Microsoft and Nutanix provides that superior customer experience where whatever the operating model might be for that customer. So they're going to be leveraging NC two on Azure to really provide those hybrid cloud experiences for their solutions on top of building on top of the, the work that we've done together. >>So this really kind of highlights the power of that Alva, the power of the ISV ecosystem and what you're all able to do together to really help customers achieve the outcomes that they individually need. >>A absolutely, look, I mean, we strongly believe that when you partner properly with an V you get to the, to the magical framework, one plus one equals three or more because you are combining superpowers and you are solving the problem on behalf of the customer so they can focus on their business. And this is a wonderful example, a very inspiring one where when you see the risk, the complexity that all these projects normally have, and Michael did a great job framing some of them, and the difference that they have now by having NC to on Azure, it's night and day. And we are fully committed to keep driving this innovation, this partnership on service of our customers and our partner ecosystem because at the same time, making our partners more successful, generating more value for customers and for all of us. >>Abar, can you comment a little bit on the go to market? Like how, how do your joint customers engage? What does that look like from their perspective? >>You know, when you think about the go to market, a lot of that is we have, you know, teams all over the world that will be aligned and working together in service of the customer. There is marketing and demand generation that will be done, that will be also work on enjoying opportunities that we will manage as well as a very tight connection on projects to be sure that the support experience for customers is well aligned. I don't wanna go into too much detail, but I will like to guarantee that our intent is not only to create an incredible technological experience, which the, the development teams are done, but also a great experience for the customers that are going through these projects, interacting with both teams that will work as one in service to empower the customer to achieve the outcomes that they need. >>Yeah, and just to comment maybe a little bit more on what Albar said, you know, it's not just about the product integration or it's really the full end to end experience for our customers. So when we embarked on this partnership with Microsoft, we really thought about what is the right product integration and with our engineering teams, but also how do we go and talk to customers with value prop together and all the way down through to support. So we actually been worked on how do we have a single joint support for our customers. So it doesn't really matter how the customer engages, they really see this as an end to end single solution across two companies. >>And that's so critical given just the, the natural challenges that that organizations face and the dynamics of the macro economic environment that we're living in. For them, for customers to be able to have that really seamless single point of interaction, they want that consistent experience on-prem to the cloud. But from an engagement perspective that you're, what sounds like what you're doing, Michael and Avaro is, is goes a long way to really giving customers a much more streamlined approach so that they can be laser focused on solving the business problems that they have, being competitive, getting products to market faster and all that good stuff. Michael, I wonder if you could comment on maybe the cultural alignment that Nutanix and Microsoft have. I know Microsoft's partner program has been around for decades and decades. Michael, what does that cultural alignment look like from, you know, the sales and marketing folks down to engineering, down to support? >>Yeah, I think honestly that was, that was something that kind of fit really well and we saw really a long alignment from day one. Of course, you know, Nutanix cares a lot about our customer experience, not just within the products, but again, through the entire life cycle to support and so forth. And Microsoft's no different, right? There's a huge emphasis on making sure that we provide the best customer experience and that we're also focusing on solving real world customer problems, right? And really focusing on the biggest problems that customers have. So really culturally it felt, it felt really natural. It felt like we were a single team, although it's, you know, two bar organizations working together, but I really felt like a single team working day in, day out on, on solving customer problems together. >>Yeah, >>Let, go ahead. >>No, I would say, well say Michael, the, the one element that we complement, the, I think the answer was super complete, is the, the fact that we work together from the outside in, look at it from the customer lenses is extremely powerful and inspire, as I mentioned, because that's what it's all about. And when you put the customer at the center, everything else falls in part on its its own place very, very quickly. And then it's hard work and innovation and, you know, doing what we do best, which is combining over superpowers in service of that customer. So that was the piece that, you know, I, I cannot emphasize enough how inspiring he's been. And again, the, the response for the previous is a great example of the opportunity that we have in there. >>And you've taken a lot of complexity out of the customer environment and I can imagine that the GA of Nutanix cloud clusters on Azure is gonna be a huge benefit for customers in every industry. Last question guys, I wanna get both your perspectives on Michael, we'll start with you and then Lvra will wrap with you. What's next? Obviously a lot of exciting stuff. What's next for the partnership of these, these two superheroes together, Michael? >>Yeah, so I think our goal doesn't change, right? I think our North star is to continue to make it easy for our customers to adopt, migrate and modernize their applications, leveraging Nutanix and Microsoft Azure, right? And I think NC two and Azure is just the start of that. So kind of maybe more immediate, like, you know, we mentioned obviously we have, we announced the ga that's J in Americas, but kind of the next more immediate step over the next few months look for us to continue expanding beyond Americas and making sure that we have support across all the global regions. And then beyond that, you know, again, as of our mentioned, it's working from kind of the s backwards. So we're, we're not, no, we're not waiting for ega. We're already working on the next set of solutions saying what are other problems that customer facing, especially across, they're running their workload cross on premises and public cloud, and what are the next set of solutions that we can deliver to the market to solve those real challenges for. >>It sounds really strongly that, that the partnership here, we're talking about Nutanix and Microsoft, it's really Nutanix and Microsoft with the customer at this center. I think you've both done a great job of articulating that there's laser focus there. Our last word to you, what excites you about the momentum that Microsoft and Nutanix have for the customers? >>Well, thank you Lisa. Michael, I will tell you, when you hear the customer feedback on the impact that you're having, that's the most inspiring part because you know you're generating value, you know, you're making a difference, especially in these complex times when the, the partnership gets tested where the, the right, you know, relationship gets built. We're being there for customers is extremely inspiring. Now, as Michael mentioned, this is all about what customer needs and how do we go even ahead of the game, being sure that we're ready not for what is the problem today, but the opportunities that we have tomorrow to keep working on this. We have a huge TA task ahead to be sure that we bring this value globally in the right way with the right quality. Every word, which is a, is never as small fist as you may imagine. You know, the, the world is a big place, but also the next wave of innovations that will be customer driven to keep and, and raise the bar on how, how much more value can we unlock and how much empowerment can we make for the customer to keep in innovating at their own pace, in their own terms. >>Absolutely that customer empowerment's key. Guys, it's been a pleasure talking to you about the announcement Nutanix cloud clusters on Azure of our Michael, thank you for your time, your inputs and helping us understand the impact that this powerhouse relationship is making. >>Thank you for having Lisa and thank you AAR for joining >>Me. Thank you Lisa, Michael, it's been fantastic. I looking forward and thank you to the audience for being here with us. Yeah, stay >>Tuned. Thanks to the audience. Exactly. And stay tuned. There's more to come. We have coming up next, a deeper conversation on the announcement with Dave and product execs from both Microsoft. You won't wanna.

>>Okay, we're back with the hybrid Cloud power panel. I'm Dave Ante, and with me our Eric Lockard, who's the corporate vice president of Microsoft Azure Specialized Thomas Corn's, the senior vice president of products at Nutanix. And Indu Carey, who's the Senior Vice President of engineering, NCI and nnc two at Nutanix. Gentlemen, welcome to the cube. Thanks for coming on. >>It's to be >>Here. Have us, >>Eric, let's, let's start with you. We hear so much about cloud first. What's driving the need for hybrid cloud for organizations today? I mean, I not just ev put everything in the public cloud. >>Yeah, well, I mean the public cloud has a bunch of inherent advantages, right? I mean it's, it has effectively infinite capacity, the ability to, you know, innovate without a lot of upfront costs, you know, regions all over the world. So there is a, a trend towards public cloud, but you know, not everything can go to the cloud, especially right away. There's lots of reasons. Customers want to have assets on premise, you know, data gravity, sovereignty and so on. And so really hybrid is the way to achieve the best of both worlds, really to kind of leverage the assets and investments that customers have on premise, but also take advantage of, of the cloud for bursting or regionality or expansion, especially coming outta the pandemic. We saw a lot of this from work from home and, and video conferencing and so on, driving a lot of cloud adoption. So hybrid is really the way that we see customers achieving the best of both worlds. >>Yeah, it makes sense. I wanna, Thomas, if you could talk a little bit, I don't wanna inundate people with the acronyms, but, but the Nutanix cloud clusters on Azure, what is that? What problems does it solve? Give us some color there please. >>Yeah, there, so, you know, cloud clusters on Azure, which we actually call NC two to make it simple and SONC two on Azure is really our solutions for hybrid cloud, right? And you about hybrid cloud, highly desirable customers want it. They, they know this is the right way to do it for them, given that they wanna have workloads on premises at the edge, any public clouds, but it's complicated. It's hard to do, right? And the first thing that you did with just silos, right? You have different infrastructure that you have to go and deal with. You have different teams, different technologies, different areas of expertise and dealing with different portals, networkings get complicated, security gets complicated. And so you heard me say this already, you know, hybrid can be complex. And so what we've done, we then c to Azure is we make that simple, right? We allow teams to go and basically have a solution that allows you to go and take any application running on premises and move it as is to any Azure region where Ncq is available. Once it's running there, you keep the same operating model, right? And that's, so that's actually super valuable to actually go and do this in a simple fashion, do it faster, and basically do hybrid in a more cost effective fashion, know for all your applications. And that's really what's really special about NC two Azure today. >>So Thomas, just a quick follow up on that. So you're, you're, if I understand you correctly, it's an identical experience. Did I get that right? >>This is, this is the key for us, right? Is when you think you're sending on premises, you are used to way of doing things of how you run your applications, how you operate, how you protect them. And what we do here is we extend the Nutanix operating model two workloads running in Azure using the same core stack that you're running on premises, right? So once you have a cluster deploying C to an Azure, it's gonna look like the same cluster that you might be running at the edge or in your own data center using the same tools you, using the same admin constructs to go protect the workloads, make them highly available, do disaster recovery or secure them. All of that becomes the same. But now you are in Azure, and this is what we've spent a lot of time working with Americanist teams on, is you actually have access now to all of those suites of Azure services in from those workloads. So now you get the best of both world, you know, and we bridge them together and you get seamless access of those services between what you get from Nutanix, what you get from Azure. >>Yeah. And as you alluded to, this is traditionally been non-trivial and people have been looking forward to this for, for quite some time. So Indu, I want to understand from an engineering perspective, your team had to work with the Microsoft team, and I'm sure there was this, this is not just a press releases or a PowerPoint, you had to do some some engineering work. So what specific engineering work did you guys do and what's unique about this relative to other solutions in the marketplace? >>So let me start with what's unique about this, and I think Thomas and Eric both did a really good job of describing that the best way to think about what we are delivering jointly with Microsoft is that it speeds of the journey to the public cloud. You know, one way to think about this is moving to the public cloud is sort of like remodeling your house. And when you start remodeling your house, you know, you find that you start with something and before you know it, you're trying to remodel the entire house. And that's a little bit like what journey to the public cloud sort of starts to look like when you start to refactor applications. Because it wasn't, most of the applications out there today weren't designed for the public cloud to begin with. NC two allows you to flip that on its head and say that take your application as is and then lift and shift it to the public cloud, at which point you start the refactor journey. >>And one of the things that you have done really well with the NC two on Azure is that NC two is not something that sits by Azure side. It's fully integrated into the Azure fabric, especially the software defined network and SDN piece. What that means is that, you know, you don't have to worry about connecting your NC two cluster to Azure to some sort of an net worth pipe. You have direct access to the Azure services from the same application that's now running on an NC two cluster. And that makes your refactoring journey so much easier. Your management plan looks the same, your high performance notes let the NVMe notes, they look the same. And really, I mean, other than the facts that you're doing something in the public cloud, all the nutanix's goodness that you're used to continue to receive that, there is a lot of secret sauce that we have had to develop as part of this journey. >>But if we had to pick one that really stands out, it is how do we take the complexity, the network complexity of a public cloud, in this case Azure, and make it as familiar to Nutanix's customers as the VPC construc, the virtual private cloud construc that allows them to really think of that on-prem networking and the public cloud networking in very similar terms. There's a lot more that's gone on behind the scenes. And by the way, I'll tell you a funny sort of anecdote. My dad used to say when I drew up that, you know, if you really want to grow up, you have to do two things. You have to like build a house and you have to marry your kid off to someone. And I would say our dad a third do a flow development with the public cloud provider of the partner. This has been just an absolute amazing journey with Eric and the Microsoft team, and you're very grateful for their >>Support. I, I need NC two for my house. I live in a house that was built in, it's 1687 and we connect all to new and it's, it is a bolt on, but, but, but, and so, but the secret sauce, I mean there's, there's a lot there, but is it a PAs layer? You didn't just wrap it in a container and shove it into the public cloud, You've done more than that. I'm inferring, >>You know, the, it's actually an infrastructure layer offering on top of fid. You can obviously run various types of platform services. So for example, down the road, if you have a containerized application, you'll actually be able to TA it from OnPrem and run it on C two. But the NC two offer itself, the NCAA offer itself is an infrastructure level offering. And the trick is that the storage that you're used to the high performance storage that you know, define tenants to begin with, the hypervisor that you're used to, the network constructs that you're used to light MI segmentation for security purposes, all of them are available to you on NC two in Azure, the same way that we're used to do on-prem. And furthermore, managing all of that through Prism, which is our management interface and management console also remains the same. That makes your security model easier, that makes your management challenge easier, that makes it much easier for an application person or the IT office to be able to report back to the board that they have started to execute on the cloud mandate and they've done that much faster than they'll be able to otherwise. >>Great. Thank you for helping us understand the plumbing. So now Thomas, maybe we can get to like the customers. What, what are you seeing, what are the use cases that are, that are gonna emerge for the solution? >>Yeah, I mean we've, you know, we've had a solution for a while, you know, this is now new on Azure's gonna extend the reach of the solution and get us closer to the type of use cases that are unique to Azure in terms of those solutions for analytics and so forth. But the kind of key use cases for us, the first one you know, talks about it is a migration. You know, we see customers on that cloud journey. They're looking to go and move applications wholesale from on premises to public cloud. You know, we make this very easy because in the end they take the same concept that are around the application and make them, we make them available Now in the Azure region, you can do this for any applications. There's no change to the application, no networking change. The same IP will work the same whether you're running on premises or in Azure. >>The app stays exactly the same, manage the same way, protected the same way. So that's a big one. And you know, the type of drivers point politically or maybe I wanna go do something different or I wanna go and shut down location on premises, I need to do that with a given timeline. I can now move first and then take care of optimizing the application to take advantage of all that Azure has to offer. So migration and doing that in a simple fashion, in a very fast manner is, is a key use case. Another one, and this is classic for leveraging public cloud force, which are doing on premises, is disaster recovery. And something that we refer to as elastic disaster recovery, being able to go and actually configure a secondary site to protect your on premises workloads. But I think that site sitting in Azure as a small site, just enough to hold the data that you're replicating and then use the fact that you cannot get access to resources on demand in Azure to scale out the environment, feed over workloads, run them with performance, potentially fill them back to on premises and then shrink back the environment in Azure to again, optimize cost and take advantage of elasticity that you get from public cloud models. >>And then the last one, building on top of that is just the fact that you cannot get bursting use cases and maybe running a large environment, typically desktop, you know, VDI environments that we see running on premises and I have, you know, a seasonal requirement to go and actually enable more workers to go get access the same solution. You could do this by sizing for the large burst capacity on premises wasting resources during the rest of the year. What we see customers do is optimize what they're running on premises and get access to resources on demand in Azure and basically move the workload and now basically get combined desktop running on premises desktops running on NC two on Azure, same desktop images, same management, same services, and do that as a burst use case during, say you're a retailer that has to go and take care of your holiday season. You know, great use case that we see over and over again for our customers, right? And pretty much complimenting the notion of, look, I wanna go to desktop as a service, but right now, now I don't want to refactor the entire application stack. I just won't be able to get access to resources on demand in the right place at the right time. >>Makes sense. I mean this is really all about supporting customers', digital transformations. We all talk about how that was accelerated during the pandemic and, but the cloud is a fundamental component of the digital transformations. And Eric, you, you guys have obviously made a commitment between Microsoft and and Nutanix to simplify hybrid cloud and that journey to the cloud. How should customers, you know, measure that? What does success look like? What's the ultimate vision here? >>Well, the ultimate vision is really twofold. I think the one is to, you know, first is really to ease a customer's journey to the cloud to allow them to take advantage of all the benefits to the cloud, but to do so without having to rewrite their applications or retrain their, their administrators and or, or to obviate their investment that they already have in platforms like, like Nutanix. And so the, the work that companies have done together here, you know, first and foremost is really to allow folks to come to the cloud in the way that they want to come to the cloud and take really the best of both worlds, right? Leverage, leverage their investment in the capabilities of the Nutanix platform, but do so in conjunction with the advantages and and capabilities of of Azure, you know. Second, it is really to extend some of the cloud capabilities down onto the on-premise infrastructure. And so with investments that we've done together with Azure arc for example, we're really extending the Azure control plane down onto on-premise Nutanix clusters and bringing the capabilities that that provides to the Nutanix customer as well as various Azure services like our data services and Azure SQL server. So it's really kind of coming at the problem from, from two directions. One is from kind of traditional on-prem up into the cloud, and then the second is kind of from the cloud leveraging the investment customers have in in on-premise hci. >>Got it. Thank you. Okay, last question. Maybe each of you could just give us one key takeaway for our audience today. Maybe we start with with with with Thomas and then Indu and then Eric you can bring us home. >>Sure. So the key takeaway is, you know, you takes cloud clusters on Azure is ngi, you know, this is something that we've had tremendous demand from our customers, both from the Microsoft side and the Nutanix side going, going back years literally, right? People have been wanting to go and see this, this is now live GA open for business and you know, we're ready to go and engage and ready to scale, right? This is our first step in a long journey in a very key partnership for us at Nutanix. >>Great Indu >>In our Dave. In a prior life about seven or eight, eight years ago, I was a part of a team that took a popular patch preparation software and moved it to the public cloud. And that was a journey that took us four years and probably several hundred million dollars. And if we had had NC two then it would've saved us half the money, but more importantly would've gotten there in one third the time. And that's really the value of this. >>Okay. Eric, bring us home please. >>Yeah, I'll just point out like this is not something that's just both on or something. We, we, we started yesterday. This is something the teams, both companies have been working on together for, for years really. And it's, it's a way of, of deeply integrating Nutanix into the Azure Cloud and with the ultimate goal of, of again, providing cloud capabilities to the Nutanix customer in a way that they can, you know, take advantage of the cloud and then compliment those applications over time with additional Azure services like storage, for example. So it really is a great on-ramp to the cloud for, for customers who have significant investments in, in Nutanix clusters on premise, >>Love the co-engineering and the ability to take advantage of those cloud native tools and capabilities, real customer value. Thanks gentlemen. Really appreciate your time. >>Thank >>You. Thank you. Thank you. >>Okay, keep it right there. You're watching. Accelerate hybrid cloud, that journey with Nutanix and Microsoft technology on the cube. You're leader in enterprise and emerging tech coverage >>Organizations are increasingly moving towards a hybrid cloud model that contains a mix of on premises public and private clouds. A recent study confirms 83% of businesses agree that hybrid multi-cloud is the ideal operating model. Despite its many benefits, deploying a hybrid cloud can be challenging, complex, slow and expensive require different skills and tool sets and separate siloed management interfaces. In fact, 87% of surveyed enterprises believe that multi-cloud success will require simplified management of mixed infrastructures >>With Nutanix and Microsoft. Your hybrid cloud gets the best of both worlds. The predictable costs, performance control and data sovereignty of a private cloud and the scalability, cloud services, ease of use and fractional economics of the public cloud. Whatever your use case, Nutanix cloud clusters simplifies IT. Operations is faster and lowers risk for migration projects, lowers cloud TCO and provides investment optimization and offers effortless, limitless scale and flexibility. Choose NC two to accelerate your business in the cloud and achieve true hybrid cloud success. Take a free self-guided 30 minute test drive of the solutions provisioning steps and use cases at nutanix.com/azure td. >>Okay, so we're just wrapping up accelerate hybrid cloud with Nutanix and Microsoft made possible by Nutanix where we just heard how Nutanix is partnering with cloud and software leader Microsoft to enable customers to execute on a true hybrid cloud vision with actionable solutions. We pushed and got the answer that with NC two on Azure, you get the same stack, the same performance, the same networking, the same automation, the same workflows across on-prem and Azure Estates. Realizing the goal of simplifying and extending on-prem workloads to any Azure region to move apps without complicated refactoring and to be able to tap the full complement of native services that are available on Azure. Remember, all these videos are available on demand@thecube.net and you can check out silicon angle.com for all the news related to this announcement and all things enterprise tech. Please go to nutanix.com as of course information about this announcement and the partnership, but there's also a ton of resources to better understand the Nutanix product portfolio. There are white papers, videos, and other valuable content, so check that out. This is Dave Ante for Lisa Martin with the Cube, your leader in enterprise and emerging tech coverage. Thanks for watching the program and we'll see you next time.

>>Hi everyone. Welcome to our event Accelerate Hybrid Cloud with Nutanix and Microsoft. I'm your host Lisa Martin, and I've got two great guests here with me to give you some exciting news. Please welcome Alva Salise, the Vice President of Global ISV Commercial Solutions at Microsoft. And Michael Luka, VP of Business Development Cloud and database partner ecosystem at Nutanix. Guys, it's great to have you on the program. Thanks so much for joining me today. Great to be here. >>Thank you, Lisa. Looking forward, >>Yeah, so a, let's go ahead and start with you. Talk to me from your lens, what are you seeing in terms of the importance of the role of the the ISV ecosystem and really helping customers make their business outcomes successful? >>Well, absolutely. Well, first of all, thank you for the invitation and thank you Michael and the Nutanix team for the partnership. So the, the ISV ecosystem plays a critical role as we support our customers and enable them in their data transformation journeys to create value, to move at the own pace, and more important to ensure that every one of them as they transform themselves, have the right set of solutions for the long term with high differentiation, cost effectiveness and resiliency, especially given the times that we're living in. >>Yeah, that resiliency is getting more and more critical as each day goes on. Ava was sticking with you. We got Microsoft Ignite going on today. What are some of the key themes that we should expect this year and how do they align to Microsoft's vision and strategy? >>Ah, great question. Thank you. When you think about it, we wanna talk about the topics that are very relevant and our customers have asked us to go deeper and, and share with them. One of them, as you may imagine, is how can we do more with less using Azure, especially given the current times that we're living in the, the business context has changed so much. They have different imperative, different different amount of pressure and priorities. How can we help, how can we combine the platform, the value that Microsoft can bring and or Microsoft ISV power ecosystem to deliver more value and enable them to have their own journey? Actually, in that frame, if I may, we are making this announcement today with Nutanix. The Nutanix cloud clusters are often the fastest way on which customers will be able to do that journey into the cloud because it's very consistent with environments that they already know and use on premise. And once they go into the cloud, then they have all the benefit of scale, agility, resiliency, security and cost benefits that they're looking for. So that topic and this type of announcements will be a big part of what we doing. Ignite >>Then exciting. Michael, let's bring you into the conversation now. Sure. Big milestone of our RDTs that the general availability of Nutanix Cloud clusters on Azure. Talk to us about that from Nutanix's perspective and also gimme a little bit of color, Michael, on the partnership, the relationship. >>Yeah, sure. Absolutely. So we actually entered a partnership couple years ago, so we've been working on this quite a while. But really our ultimate goal from day one was really to make our customers journeys to hybrid cloud simpler and faster. So really for both companies, I think our goal is really being that trusted partner for our customers in their innovation journey. And as I mentioned, you know, in the current macroeconomic conditions, really our customers really care about growing their top line, but they have to be mindful of their bottom line as well. So they're really looking to leverage their existing investments in technology skill and leverage the most that, So the things like, for example, cost to operations and keeping those things cost on premises and are really important as customers are thinking about growth initiatives that they wanna implement. And of course going to Azure public cloud is an important one as they think about flexibility, scale and modernizing in their apps. >>And of course as we look at the customer landscape, a lot of customers have an footprint, right? Whether that's for regulatory reasons for business or other technic for reasons. So hybrid cloud has really become an ideal operating model for a lot of the customers that we see today. So really our partnership with Microsoft is critical because together, I really do see our US together simplifying that journey to the public cloud and making sure that it's not only easy but secure and really seamless. And really, I see our partnership as bringing the strengths of each company together, right? So Nutanix, of course, is known in the past versus hyperconverge infrastructure and really breaking down those silos between networking, compute, storage, and simplifying that infrastructure and operations. And our customers love that for the products and our, our NPS score of 90 over the last seven years. And if you look at Azure, at Microsoft, they're truly best in class cloud infrastructure with cutting edge services and innovation and really global scale. So when you think about those two combinations, right, that's really powerful for customers to be able to take their applications and whether they're on pre the cloud or even the edge and really combining all those various hybrid scenarios. And I think that's something that's pretty unique that we're able to offer our joint customers. >>Let's into that uniqueness of our, bringing you back into the conversation, you guys are meeting customers where they are helping them to accelerate their cloud transformations, delivering that consistency, you know, whether they're on-prem in Azure, in in the cloud. Talk to me about, from Microsoft's perspective about the significance of this announcement. I understand that the, the preview was oversubscribed, so the demand from your joint customers is clear. >>Thank you, Lisa. Michael, personally, I'm very proud and at the company we're very proud of the world that we did together with Nutanix. When you see two companies coming together with the mission of empowering customers and with the customer at the center and trying to solve real problems in this case, how to drive hybrid cloud and what is the best approach for them, opening more opportunities is, is is extremely inspiring. And of course the welcome reception that we have from customer reiterates that we generating that value. Now, when you combine the power of Azure, that is very well known by resiliency, the scale, the performance, the elasticity, and the range of services with the reality of companies that might have hundreds of even thousands of different applications and data sources, those cloud journeys are very different for each and every one of them. So how do we combine our capabilities between Nutanix and Microsoft to be sure that that hybrid cloud journey that every one is gonna take can be simplified, you can take away the risk, the complexity on that transformation creates tons of value. >>And that's what a customers are asking us today. Either because they're trying to move and modernize their environment to Azure, or they're bringing their, you know, a enable services and cluster and data services on premise to the Nutanix platform, we together can combine and solve for that adding more value for any scenario that customers may have. And this is not once and done, this is not that we building, we forget it, it's a partnership that keeps evolving and also includes work that we do with our solution sales alliances that go to market seems to be sure that the customers have diverse service and support to make, to, to create the outcomes that they're asking us to deliver. >>And can you comment a little bit further, maybe both of you, of our, starting with you and then Michael, what are some of those business outcomes that customers are coming to Microsoft and Nutanix saying, help us, we've gotta be more competitive, we've gotta get, we've gotta be able to get solutions to market faster, et cetera. What are those key outcomes that these two powerhouse companies are helping customers to unlock? >>Yeah, I will say, look, the range of imperative of customers varies greatly depending on the industry, depending on the positioning. I think that the fundamental question is given your imperative, do we have the ability to empower you to achieve the outcome that you want? And these days, of course, the tons of companies, given the the business context that are being very conscious on cost and efficiency, how do you do more with less? How do I keep innovating? Because innovation will be at the heart of the solutions, but I do that on my own pace with my own priorities. That higher level answer is the one that we're enabling through partnership, like the one we're we're sharing today to the market with Nutanix. >>Yeah, I think >>From you, >>Go ahead. I was just gonna comment ON'S pump as well is that absolutely really depends on the customer and what they're trying to achieve, right? As they think about the next set of innovation that they're trying to develop. But for example, we take a, a web, a use case that we've seen with some of the customers is like migration to the cloud, right? And you know, a lot of companies, they embark on that migration. We see there's a lot of data that says basically, you know, it's much harder than it looks, right? And a lot of these projects become years behind schedule and millions and millions of dollars over budget, right? So reducing that risk and saying, Hey, how do I, can I land in Azure? And then bit by bit start thinking, how do I continue to innovate to get, since now I have easy and secure access while I'm in Azure with, and seek with Nutanix Nutanix clusters on Azure to continue my innovation by taking advantage of Azure native services, right? But again, like Aaro said, it's, it really depends on what the customer goals are. >>Talk to me a little bit about the customers that were in the beta, as we mentioned, Alva, the, the preview was oversubscribed. So as I talked about earlier, the demand is clearly there. Talk to me about some of the customers and beta, you can even anonymize them or maybe talk about them by industry, but what, what were some of the, the key things they came to these two companies looking to, to solve, get to the cloud faster, be able to deliver the same sets of services with familiarity so that from a, they're able to do more with less? >>Maybe I could take that one out of our rebuttal lines. It does means, but yeah, so like, like, like you mentioned, Lisa, you know, we've had a great preview oversubscribe, we had lots of CU not only s but also partners battle solution. And you know, we're obviously very pleased now to have offered to everyone else, but one of our customers Camp Day was really looking forward to seeing how do they leverage Nstitute and Azure to, like I mentioned, reduce that work workload, migration and risk for that and making sure, hey, some of the applications maybe we are going to go and rewrite them, refactor them to take them natively to Azure. But there's others where we wanna lift and shift them to Azure. But like I mentioned, it's not just customers, right? We've been working with partners like PCs and Citrix where they share the same goal as Microsoft and Nutanix provides that superior customer experience where whatever the operating model might be for that customer. So they're going to be leveraging NC two on Azure to really provide those hybrid cloud experiences for their solutions on top of building on top of the, the work that we've done together. >>So this really kind of highlights the power of that Ava, the power of the ISB ecosystem and what you're all able to do together to really help customers achieve the outcomes that they individually need. >>A absolutely, look, I mean, we strongly believe that when you partner properly with an isv, you get to the, to the magical framework, one plus one equals three or more because you are combining superpowers and you are solving the problem on behalf of the customer so they can focus on their business. And this is a wonderful example, a very inspiring one where when you see the risk, the complexity that all these projects normally have, and Michael did a great job framing some of them, and the difference that they have now by having NC to on Azure, it's night and day. And we are fully committed to keep driving this innovation, this partnership on service of our customers and our power ecosystem. Because at the same time, making our powers more successful, generating more value for customers and for all of us >>Of, Can you comment a little bit on the go to market? Like how, how do your joint customers engage? What does that look like from their perspective? >>You know, when you think about the go to market, a lot of that is we have, you know, teams all over the world that will be aligned and working together in service of the customer. There's marketing and demand generation that will be done, that will be also work on joy opportunities that we will manage as well as a very tight connection on projects to be sure that the support experience for customers is well aligned. I don't wanna talk, go into too much detail, but I would like to guarantee that our intent is not only to create an incredible technological experience, which the, the development teams are done, but also a great experience for the customers that are going through these projects, interacting with both teams that will work as one in service to empower the customer to achieve the outcomes that they need. >>Yeah, and just to comment maybe a little bit more on what all Borrow said, you know, it's not just about the product integration area, it's really the full end to end experience for our customers. So when we embarked on this partnership with Microsoft, we really thought about what is the right product integration and with our engineering teams, but also how do we go and talk to customers with value prop together and all the way down through to support. So we actually even worked on how do we have a single joint support for our customer. So it doesn't really matter how the customer engages, they really see this as an end to end single solution across two companies. >>And that's so critical given just the, the natural challenges that that organizations face and the dynamics of the macro economic environment that we're living in. For them, for customers to be able to have that really seamless single point of interaction, they want that consistent experience on-prem to the cloud. But from an engagement perspective that you're, what sounds like what you're doing, Michael and Avaro is, is goes a long way to really giving customers a much more streamlined approach so that they can be laser focused on solving the business problems that they have, being competitive, getting products to market faster and all that good stuff. Michael, I wonder if you could comment on maybe the cultural alignment that Nutanix and Microsoft have. I know Microsoft's partner program has been around for decades and decades. Michael, what does that cultural alignment look like from, you know, the sales and marketing folks down to engineering, down to support? >>Yeah, I think honestly that was, that was something that kind of fit really well and we saw really a lot alignment from day one. Of course, you know, Nutanix cares a lot about our customer experience, not just within the products, but again, through the entire life cycle to support and so forth. And Microsoft's no different, right? There's a huge emphasis on making sure that we provide the best customer experience and that we're also focusing on solving real world customer problems, right? And really focus on the biggest problems the customers have. So really culturally it felt, it felt really natural. It felt like we were a single team, although it's, you know, two bar drug organizations working together, but I really felt like a single team working day in, day out on, on solving customer problems together. >>Yeah. >>Let me, Go ahead. >>No, I will say, well say Michael, I think that the, the one element that we complement, I think the answer was super complete, is the, the fact that we work together from the outside in, look at it from the customer lenses is extremely powerful and far as I mentioned, because that's what it's all about. And when you put the customer at the center, everything else falls in part on its its own place very, very quickly. And then it's hard work and innovation and, you know, doing what we do best, which is combining over superpowers in service of that customer. So that was the piece that, you know, I i, I cannot emphasize enough how inspiring he's been. And again, the, the response for the previous is a great example of the opportunity that we have in there. >>Yeah. And, and you know, with every hard problem there's challenges along the way, right? And so I'm actually really proud of both of the teams that stepped up and, you know, figure it out. How do we go solve some of these technical problems? How do we go solve, making sure we continue to provide world class support for sports organizations? And, you know, these weren't easy things to solve and, and you know, everyone really stepped up the challenge >>And you've taken a lot of complexity out of the customer environment and I can imagine that the GA of Nutanix cloud clusters on Azure is gonna be a huge benefit for customers and every industry. Last question guys, I wanna get both your perspectives on Michael, we'll start with you and then Lvra will wrap with you. What's next? Obviously a lot of exciting stuff. What's next for the partnership of these, these two superheroes together, Michael? >>Yeah, so I think our goal doesn't change, right? I think our North star is to continue to make it easy for our customers to adopt, migrate and modernize their applications, leveraging Nutanix and Microsoft Azure, right? And I think NC two and Azure is just the start of that. So kind of maybe more immediate, like, you know, we mentioned obviously we have, we announced the GA that's J in Americas kind of the next more immediate step over the next few months. Look for us to continue expanding beyond Americas and making sure that we have support across all the global regions. And then beyond that, you know, again, as of our mentioned is working from kind of the customers backwards. So we're, we're not, no, we're not waiting for the ga, we're already working on the next set of solutions saying what are other problems that customer facing, especially across as they're running their workloads cross on premises and public cloud, and what are the next set of solutions that we can deliver to the market to solve those real challenges for them. >>It sounds really strongly that, that the partnership here, we're talking about Nutanix and Microsoft. It's really Nutanix and Microsoft with the customer at this center. I think you've do both, done a great job of articulating that there's laser focus there. Of our last word to you, what excites you about the momentum that Microsoft and Nutanix have for the customers? >>Well, thank you Lisa. Michael, I will tell you, when you hear the customer feedback on the impact that you're having, that's the most inspiring part because you know, you're generating value, you know, you're making a difference, especially in this complex times when the, the partnership gets tested where the, the right, you know, relationship gets built. We're being there for customers is extremely inspired. Now, as Michael mentioned, this is all about what customer needs and how do we go even ahead of the game so that we're ready not for what is the problem today, but the opportunities that we have tomorrow to keep working on this. We have a huge task ahead to be sure that we bring this value globally in the right way with the right quality. Every word, which is a, is never a small fist as you may imagine. You know, the, the world is a big place, but also the next wave of innovations that will be customer driven to keep and, and raise the bar on how, how much more value can we unlock and how much empowerment can we make for the customer to keep in innovating at their own pace, in their own terms. >>Absolutely that customer empowerment's key. Guys, it's been a pleasure talking to you about the announcement, Nutanix cloud clusters on Azure of our Michael, thank you for your time, your inputs and helping us understand the impact that this powerhouse relationship is making. >>Thank you for having Lisa and thank you Avara for joining me. >>Thank you, Lisa, Michael, it's been fantastic and looking forward and thank you to the audience for being here with us. Yeah, stay >>Tuned. Exactly. Thanks to the audience. >>Exactly. >>And stay tuned. There's more to come. We have coming up next, a deeper conversation on the announcement with Dave Valante and product execs from both and Microsoft. You won't wanna miss it.

(gentle music) >> Okay, we're back with the hybrid cloud power panel. I'm Dave Vellante, and with me Eric Lockard who is the Corporate Vice President of Microsoft Azure Specialized. Thomas Cornely is the Senior Vice President of Products at Nutanix and Indu Keri, who's the Senior Vice President of Engineering, NCI and NC2 at Nutanix. Gentlemen, welcome to The Cube. Thanks for coming on. >> It's good to be here. >> Thanks for having us. >> Eric, let's, let's start with you. We hear so much about cloud first. What's driving the need for hybrid cloud for organizations today? I mean, I want to just put everything in the public cloud. >> Yeah, well, I mean the public cloud has a bunch of inherent advantages, right? I mean it's, it has effectively infinite capacity the ability to, you know, innovate without a lot of upfront costs, you know, regions all over the world. So there is a trend towards public cloud, but you know not everything can go to the cloud, especially right away. There's lots of reasons. Customers want to have assets on premise you know, data gravity, sovereignty and so on. And so really hybrid is the way to achieve the best of both worlds, really to kind of leverage the assets and investments that customers have on premise but also take advantage of the cloud for bursting, originality or expansion especially coming out of the pandemic. We saw a lot of this from work from home and and video conferencing and so on driving a lot of cloud adoption. So hybrid is really the way that we see customers achieving the best of both worlds. >> Yeah, makes sense. I want to, Thomas, if you could talk a little bit I don't want to inundate people with the acronyms, but the Nutanix Cloud clusters on Azure, what is that? What problems does it solve? Give us some color there, please. >> Yeah, so, you know, cloud clusters on Azure which we actually call NC2 to make it simple. And so NC2 on Azure is really our solutions for hybrid cloud, right? And you think about hybrid cloud highly desirable, customers want it. They, they know this is the right way to do it for them given that they want to have workloads on premises at the edge, any public clouds, but it's complicated. It's hard to do, right? And the first thing that you deal with is just silos, right? You have different infrastructure that you have to go and deal with. You have different teams, different technologies, different areas of expertise. And dealing with different portals, networking get complicated, security gets complicated. And so you heard me say this already, you know hybrid can be complex. And so what we've done we then NC2 Azure is we make that simple, right? We allow teams to go and basically have a solution that allows you to go and take any application running on premises and move it as-is to any Azure region where NC2 is available. Once it's running there you keep the same operating model, right? And that's, so that actually super valuable to actually go and do this in a simple fashion. Do it faster, and basically do hybrid in a more (indistinct) fashion know for all your applications. And that's what's really special about NC2 today. >> So Thomas, just a quick follow up on that. So you're, you're, if I understand you correctly it's an identical experience. Did I get that right? >> This is the key for us, right? When you think you're sitting on premises you are used to way of doing things of how you run your applications, how you operate, how you protect them. And what we do here is we extend the Nutanix operating model to workloads running in Azure using the same core stack that you're running on premises, right? So once you have a cluster, deploy in NC2 Azure, it's going to look like the same cluster that you might be running at the edge or in your own data center, using the same tools, using the same admin constructs to go protect the workloads make them highly available do disaster recovery or secure them. All of that becomes the same. But now you are in Azure, and this is what we've spent a lot of time working with Eric and his teams on is you actually have access now to all of those suites of Azure services (indistinct) from those workloads. So now you get the best of both world, you know and we bridge them together and you to get seamless access of those services between what you get from Nutanix, what you get from Azure. >> Yeah. And as you alluded to this is traditionally been non-trivial and people have been looking forward to this for quite some time. So Indu, I want to understand from an engineering perspective, your team had to work with the Microsoft team, and I'm sure there was this is not just a press release, this is, or a PowerPoint you had to do some some engineering work. So what specific engineering work did you guys do and what's unique about this relative to other solutions in the marketplace? >> So let me start with what's unique about this. And I think Thomas and Eric both did a really good job of describing that. The best way to think about what we are delivering jointly with Microsoft is that it speeds up the journey to the public cloud. You know, one way to think about this is moving to the public cloud is sort of like remodeling your house. And when you start remodeling your house, you know, you find that you start with something and before you know it, you're trying to remodel the entire house. And that's a little bit like what journey to the public cloud sort of starts to look like when you start to refactor applications. Because it wasn't, most of the applications out there today weren't designed for the public cloud to begin with. NC2 allows you to flip that on its head and say that take your application as-is and then lift and shift it to the public cloud at which point you start the refactor journey. And one of the things that you have done really well with the NC2 on Azure is that NC2 is not something that sits by Azure side. It's fully integrated into the Azure fabric especially the software-defined networking, SDN piece. What that means is that, you know you don't have to worry about connecting your NC2 cluster to Azure to some sort of a network pipe. You have direct access to the Azure services from the same application that's now running on an NC2 cluster. And that makes your refactor journey so much easier. Your management claim looks the same, your high performance notes let the NVMe notes they look the same. And really, I mean, other than the fact that you're doing something in the public cloud all the Nutanix goodness that you're used to continue to receive that. There is a lot of secret sauce that we have had to develop as part of this journey. But if we had to pick one that really stands out it is how do we take the complexity, the network complexity offer public cloud, in this case Azure and make it as familiar to Nutanix's customers as the VPC, the virtual private cloud (indistinct) that allows them to really think of their on-prem networking and the public cloud networking in very similar terms. There's a lot more that's done on behind the scenes. And by the way, I'll tell you a funny sort of anecdote. My dad used to say when I grew up that, you know if you really want to grow up, you have to do two things. You have to like build a house and you have to marry your kid off to someone. And I would say our dad a third, do a cloud development with the public cloud provider of the partner. This has been just an absolute amazing journey with Eric and the Microsoft team and we're very grateful for their support. >> I need NC2 for my house. I live in a house that was built and it's 1687 and we connect all the new and it is a bolt on, but the secret sauce, I mean there's, there's a lot there but is it a (indistinct) layer. You didn't just wrap it in a container and shove it into the public cloud. You've done more than that, I'm inferring. >> You know, the, it's actually an infrastructure layer offering on top of (indistinct). You can obviously run various types of platform services. So for example, down the road if you have a containerized application you'll actually be able to take it from on prem and run it on NC2. But the NC2 offer itself, the NC2 offering itself is an infrastructure level offering. And the trick is that the storage that you're used to the high performance storage that you know define Nutanix to begin with the hypervisor that you're used to the network constructs that you're used to light micro segmentation for security purposes, all of them are available to you on NC2 in Azure the same way that we're used to do on-prem. And furthermore, managing all of that through Prism, which is our management interface and management console also remains the same. That makes your security model easier that makes your management challenge easier that makes it much easier for an application person or the IT office to be able to report back to the board that they have started to execute on the cloud mandate and they've done that much faster than they would be able to otherwise. >> Great. Thank you for helping us understand the plumbing. So now Thomas, maybe we can get to like the customers. What, what are you seeing, what are the use cases that are that are going to emerge for this solution? >> Yeah, I mean we've, you know we've had a solution for a while and you know this is now new on Azure is going to extend the reach of the solution and get us closer to the type of use cases that are unique to Azure in terms of those solutions for analytics and so forth. But the kind of key use cases for us the first one you know, talks about it is a migration. You know, we see customers on that cloud journey. They're looking to go and move applications wholesale from on premises to public cloud. You know, we make this very easy because in the end they take the same culture that were around the application and we make them available now in the Azure region. You can do this for any applications. There's no change to the application, no networking change the same IP constraint will work the same whether you're running on premises or in Azure. The app stays exactly the same manage the same way, protected the same way. So that's a big one. And you know, the type of drivers for (indistinct) maybe I want to go do something different or I want to go and shut down the location on premises I need to do that with a given timeline. I can now move first and then take care of optimizing the application to take advantage of all that Azure has to offer. So migration and doing that in a simple fashion in a very fast manner is, is a key use case. Another one, and this is classic for leveraging public cloud force, which we're doing on premises IT disaster recovery and something that we refer to as Elastic disaster recovery, being able to go and actually configure a secondary site to protect your on premises workloads. But I think that site sitting in Azure as a small site just enough to hold the data that you're replicating and then use the fact that you cannot get access to resources on demand in Azure to scale out the environment feed over workloads, run them with performance potentially fill them back to on premises, and then shrink back the environment in Azure to again optimize cost and take advantage of the elasticity that you get from public cloud models. Then the last one, building on top of that is just the fact that you cannot get bursting use cases and maybe running a large environment, typically desktop, you know, VDI environments that we see running on premises and I have, you know, a seasonal requirement to go and actually enable more workers to go get access the same solution. You could do this by sizing for the large burst capacity on premises wasting resources during the rest of the year. What we see customers do is optimize what they're running on premises and get access to resources on demand in Azure and basically move the workloads and now basically get combined desktops running on premises desktops running on NC2 on Azure same desktop images, same management, same services and do that as a burst use case during say you're a retailer that has to go and take care of your holiday season. You know, great use case that we see over and over again for our customers, right? And pretty much complimenting the notion of, look I want to go to desktop as a service, but right now I don't want to refactor the entire application stack. I just want to be able to get access to resources on demand in the right place at the right time. >> Makes sense. I mean this is really all about supporting customer's, digital transformations. We all talk about how that was accelerated during the pandemic and but the cloud is a fundamental component of the digital transformations generic. You, you guys have obviously made a commitment between Microsoft and Nutanix to simplify hybrid cloud and that journey to the cloud. How should customers, you know, measure that? What does success look like? What's the ultimate vision here? >> Well, the ultimate vision is really twofold, I think. The one is to, you know first is really to ease a customer's journey to the cloud to allow them to take advantage of all the benefits to the cloud, but to do so without having to rewrite their applications or retrain their administrators and or to obviate their investment that they already have and platforms like Nutanix. And so the work that companies have done together here, you know, first and foremost is really to allow folks to come to the cloud in the way that they want to come to the cloud and take really the best of both worlds, right? Leverage their investment in the capabilities of the Nutanix platform, but do so in conjunction with the advantages and capabilities of Azure. You know, second is really to extend some of the cloud capabilities down onto the on-premise infrastructure. And so with investments that we've done together with Azure arc for example, we're really extending the Azure control plane down onto on-premise Nutanix clusters and bringing the capabilities that provides to the Nutanix customer as well as various Azure services like our data services and Azure SQL server. So it's really kind of coming at the problem from two directions. One is from kind of traditional on-premise up into the cloud, and then the second is kind of from the cloud leveraging the investment customers have in on-premise HCI. >> Got it. Thank you. Okay, last question. Maybe each of you could just give us one key takeaway for our audience today. Maybe we start with Thomas and then Indu and then Eric you can bring us home. >> Sure. So the key takeaway is, you know, cloud customers on Azure is now GA you know, this is something that we've had tremendous demand from our customers both from the Microsoft side and the Nutanix side going back years literally, right? People have been wanting to go and see this this is now live GA open for business and you know we're ready to go and engage and ready to scale, right? This is our first step in a long journey in a very key partnership for us at Nutanix. >> Great, Indu. >> In our day, in a prior life about seven or eight years ago, I was a part of a team that took a popular text preparation software and moved it to the public cloud. And that was a journey that took us four years and probably several hundred million dollars. And if we had NC2 then it would've saved us half the money, but more importantly would've gotten there in one third the time. And that's really the value of this. >> Okay. Eric, bring us home please. >> Yeah, I'll just point out that, this is not something that's just bought on or something we started yesterday. This is something the teams both companies have been working on together for years really. And it's a way of deeply integrating Nutanix into the Azure Cloud. And with the ultimate goal of again providing cloud capabilities to the Nutanix customer in a way that they can, you know take advantage of the cloud and then compliment those applications over time with additional Azure services like storage, for example. So it really is a great on-ramp to the cloud for customers who have significant investments in Nutanix clusters on premise. >> Love the co-engineering and the ability to take advantage of those cloud native tools and capabilities, real customer value. Thanks gentlemen. Really appreciate your time. >> Thank you. >> Thank you. >> Okay. Keep it right there. You're watching accelerate hybrid cloud, that journey with Nutanix and Microsoft technology on The Cube, your leader in enterprise and emerging tech coverage. (gentle music)

>> From theCUBE studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE in ETR. This is "Breaking Analysis" with Dave Vellante. >> Despite all the talk about repatriation, hybrid and multi-Cloud opportunities, and Cloud is an increasingly expensive option for customers, the data continues to show the importance of public Cloud to the digital economy. Moreover, the two leaders, AWS and Azure, are showing signs of accelerated momentum that point to those two giants pulling away from the pack in the years ahead, with each firm's showing broad based momentum across their respective product lines. It's unclear if anything, other than government intervention or self-inflicted wounds will slow these two companies down this decade. Despite their commanding lead, a winning strategy for companies that don't run their own Cloud continues to be innovating on top of their massive CapEx investments. The most notable example here being Snowflake. Hello, everyone. Welcome to this week's Wikibon CUBE insights powered by ETR. In this breaking analysis, we provide our quarterly market share update for the big four hyperscale Cloud providers. And we'll share some new ETR data from their most recent survey. And we'll drill into some of the reasons for the momentum of these two companies and drill further into the database and data warehouse sector to see what, if anything, has changed in that space. First, let's look at some of the noteworthy comments from AWS and Microsoft in their recent earnings updates. We heard from Amazon, the following, "AWS has seen a reacceleration of revenue growth as customers have expanded their commitment to the Cloud and selected AWS as their Cloud partner." Notably, AWS revenues increased 39% in Q3 2021. That's a thousand basis point increase in growth relative to Q3 2020. That's an astounding milestone for a company that we expect to surpass $60 billion in revenue this year. Further, AWS touted the adoption of its custom silicon, and specifically its Graviton2 processors. AWS is fond of emphasizing Graviton's 40% price performance improvements relative to x86 processors, something we've reported on quite extensively. AWS is investing in custom silicon, encouraging ISVs to port their code to the platform so that customers will experience little or no code changes when they migrate. Again, we believe this is a secret weapon for AWS as its cost structure will continue to improve at a rate faster than competitors that don't have the resources or the skills or the stomach to develop such capabilities. Microsoft, for its part, also saw astoundingly good growth of 48% this past quarter for Azure. This is a company that we forecast will approach $40 billion in IaaS and PaaS public Cloud revenue this year. Microsoft's CEO, Satya Nadella, on its earnings call, emphasized the changing nature of Cloud expanding in a distributed fashion to the edge. He referenced Azure as the world's computer. Building on his statements last year that Microsoft is building out a powerful, ubiquitous, intelligent, sensing and predictive Cloud. Yes, folks, it does feel like we're entering the so-called Metaverse, doesn't it? Okay, to underscore the momentum of these two companies, let's take a look at the ETR breakdown of Net score, which measures spending momentum. This chart will be familiar to our listeners. It shows the breakdown of net score for AWS, with the lime green showing new adoptions. That's 11%. The forest green is spending more than 6% relative to the first half of this year. That's a very robust 53%. The gray is flat spending. That's 30% on a very, very large base. And the pink is spending declines of minus 6% or worse. That's 4%. And the bright red is defections i.e those leaving AWS. That's 1%. That's virtually non-existent. You subtract the reds from the greens and you get a net score of 59. Remember, anything over 40, we can still consider to be elevated. Let's look at that same data for Microsoft again. You have some new ads that lime green, that's 7%. The forest green is at 46% of customers spending more, which is an incredible figure for a company with revenues that will in the near term surpass $200 billion. And the red is in the low single digits. Buffered by its enormous PC software profits over the years, Microsoft is powered through its Window's Dogma and transitioned into a Cloud powerhouse. Let's now share some of our latest numbers for the big four hyperscale players, AWS, Azure, Alibaba and Google. Here, we show data for these companies from 2018 and our estimates for 2021. This data includes our final figures for AWS, Azure and GCP for Q3 with Alibaba yet to report. Remember, only AWS and Alibaba report IaaS revenue cleanly with Microsoft and Google, they give us a little breadcrumb nuggets that allow us to triangulate with our survey data and other intelligence. But it's our attempt to do an apples to apples comparison for those four companies using AWS and it's reporting as a baseline. In Q3, AWS reported more than $16 billion in revenue. We estimate Azure at 10 billion, Alibaba, we expect to come in at just under 3 billion, and GCP at 2.5 billion for the quarter. With three quarters of data in, with the exception of Alibaba, we're forecasting AWS to capture 51% of the big four revenue, the hyperscale revenue. And really we believe these are the only four hyperscalers. AWS will surpass 60 billion with Azure just under 40 billion, Alibaba approaching 11 billion, and Google coming in just under 10 billion for the year is our expectation. We forecast these four will account for $120 billion this year. That's a 41% increase over 2020 and the same collective growth rate as 2020 relative to 2019. We expect Azure to be 63% of the size of AWS revenue. So it is gaining share. Both of those companies, however, saw accelerated growth this past quarter with Alibaba and GCP's growth rates decelerating relative to last year. Now, let's take a closer look at those growth rates. This chart shows the quarterly growth rates for each of the four going back to the beginning of 2019. Both GCP and Alibaba are showing dramatic declines in growth rates, whereas, this past quarter Azure saw accelerated growth and AWS has now seen an increased rate of growth for the past two quarters. In fact, AWS' growth is about where it was in 2019 when it was around half of its current revenue size. And in 2019 growth was decelerating through the quarters as you can see where today that trend has reversed. It's quite amazing. All right, let's take a look at the broader Cloud landscape and bring back some ETR data. This chart that we're showing here, it shows net score or spending momentum on the vertical axis and market share or presence in the dataset on the horizontal axis. Note that red dotted line, anything above that we can still consider elevated and impressive. As when we've previously shared this data, AWS and Microsoft Azure are up and to the right. Now remember, this chart is not just counting IaaS and PaaS as we showed you earlier, it's however the customers views whatever they think Cloud is. And so they're likely including Microsoft SaaS in this picture. Which is why Microsoft shows larger than AWS despite what we showed you earlier. Nonetheless, these two are well ahead of the pack and the growth rates indicate that they're pulling away. But we've added some of the other players, most notably VMware Cloud on AWS. It's showing momentum as is VMware Cloud, which is VMware Cloud foundation and other on-prem Cloud offerings, even though it's below the red line for the on-prem piece, it's very respectable. The VMware Cloud on AWS has been consistently up above that red line. Has popped beneath it in some quarters, but it's very, very strong. As is, you know, Red Hat OpenShift, it's a little bit below the line, but it is respectable. We've superimposed this by the way. Red Hat OpenShift in the ETR platform is under the container orchestration taxonomy, but we'd like to put it in next to the Cloud players for context. That's how Red Hat sort of thinks about this as well. They think about OpenShift as Cloud. And then you can see the other players. Alibaba has got a small sample in the ETR dataset. Just does not enough presence in China. But Dell and HPE have started to show up in the Cloud taxonomy. So buyers are associating their private Clouds with Cloud. So Dell's Apex, HPE's GreenLake. So that's a positive. And you can see Oracle, which of course is OCI, Oracle Cloud infrastructure. And then IBM with its public Cloud. So, it's a positive that these on-prem players are showing up in this data, but the reality is the hyperscalers are growing collectively at 40% annually and the on-prem players are growing in the low single digits. So, and if you carve out the IaaS business of AWS and Azure, they're larger than most of the on-premises infrastructure players. And all the on-prem players are moving toward an as a service model, as I just alluded to. So, undoubtedly, hybrid multicloud edge are going to present opportunities for the likes of Dell, HPE, Cisco, VMware, IBM, Red Hat, et cetera. But they also present opportunities for the public Cloud players who have vibrant ecosystems and marketplaces much more diverse and deep than the traditional vendors. You know, we have a clearer picture of Microsoft's sort of hybrid and edge strategy because the company has such an enormous legacy business, it really had to think about that much more deeply. It wasn't a blank sheet of paper like AWS. It's going to be interesting at reinvent this year if new CEO, Adam Selipsky, will talk about this. And it will be good to hear how he's thinking about the next decade, how AWS thinks about hybrid and edge, I guarantee that with their developer affinity and custom Silicon capabilities, they're thinking about it differently than traditional enterprise players. And as we've stressed in this segment, they have across the board momentum. Now to quantify that, let's take a look at AWS as portfolio in the spending momentum within its product segments. This chart shows AWS's net scores or spending momentum in the areas where AWS participates in the ETR taxonomy. Again, note that red line. Anything above 40% is considered an elevated watermark. We're showing data from last October, this past July and the latest October 21 survey. That yellow line or a bar. What's notable is the yellow versus the gray bars up across the board for the most part, other than chime... And by the way, other than chime, everything is above the 40% mark as well. Now, we've highlighted database because we feel it's one of the most strategic sectors in a real battleground. So we want to drill into that a bit. Here's our familiar X Y graph showing Net score on the Y axis, remember, that's, again, spending momentum and market share or pervasiveness in the survey on the horizontal axis. This data, by the way, includes on-prem and Cloud database data warehouse. So keep that in mind. Let's start with one of our favorite topics; Snowflake. We've reported again and again and again, that we've never seen anything like this. The company's net score has moderated ever so slightly this quarter, but it's still just below 80%. Very highly elevated. Well, above that 40% mark. It's Snowflake's presence continues to grow as a gain share in the market. Snowflake is growing revenue in the triple digits. It's an insane pace, hence its current $115 billion market cap as of this episode. Now that said, all three US-based Cloud players there are above the 40% line with AWS and Microsoft having significant presence on the horizontal axis. You see Cockroach Labs, Redis, Couchbase, they're all elevated or highly elevated. Couchbase just went public this summer. So that may help with its presence. MongoDB, they're killing it. They have a $37 billion market cap as of this episode. The stock has been on a tear. You see MariaDB was also in the mix. And then of course you have Oracle, the database leader. Look, they continue to invest in making the Oracle database and other software like MySQL, the best solution for mission critical workloads, and they're investing in their Cloud. But you can see overall, they just don't have the momentum from a spending standpoint that the others do because the declines in their legacy business. And they've been around a long time. Those declines are not fully offset by the growth in Cloud database and Cloud migration. But look, Oracle is a financial powerhouse with a $250 billion plus market cap. And the stock has done very well this past year. Up over 60%. Cloudera is going private. So it can hide the pain of the transitions that it's undergoing between the legacy install bases of Cloudera and Hortonworks. It's just a tough situation. When the companies came together, Cloudera essentially had a dead end. Each of those respective platforms and migrate their customers to a more modern stack as part of its Cloud strategy. Ironic that it's name is Cloudera. You know, that's always a difficult thing to do. So as a private company, Cloudera can maybe get off that 90 day shot clock and buy some time to invest without getting hammered by the street. And you know, Teradata consistently has not shown up well in the ETR dataset. It's transitioned to Cloud and cross-Cloud still hasn't shown momentum in the surveys. So, look right now, it's looking like the rich get richer. So just to quantify that a little bit, let's line up some of the database players and look a little bit more closely at net score. This chart shows the spending momentum or lack thereof with the net score or spending velocity granularity that we described before. Remember, green is spending more, red is spending less, bright red is leaving the platform, bright green is adding the platform. You take red, subtract red from the green, and that gives you a net score. Snowflake, as we said, tops the list. You can see the granularity there. You can compare the performance. In a little different view to understand how these scores are derived, look, the ideal profile is a solid lime green, a big forest green, a not too large gray and ideally little or no bright red AKA defections. And you can see the green funnel in the gray increasing prominence as the vendor momentum declines. Interestingly, with the exception of Cloudera and Teradata, defections are all in the single digits or nonexistent. In the case of Snowflake, Redis, red is no red at all, but small sample, Couchbase has no defections and very little defection for the giant Microsoft. Incredibly impressive. This speaks to how hard it is to migrate off of a database no matter how disgruntled you are. The more common scenario is to isolate the database and build new functionality on modern platforms. Okay, so what to watch out for. Well, reinvent this coming up next month. Oh this month. It's the first time someone other than Andy Jassy will be keynoting as CEO. 15 years of Cloud, this is the 10th re-invent, which is always a market for the direction of the industry. I've said many times that the last decade was largely about IT transformation powered by the Cloud. I believe we're entering a new era of business transformation where the Cloud is going to play a significant role. But the Cloud is evolving from a set of remote services out there in the Cloud to an omnipresent platform on top of which many customers and technology companies can innovate. And virtually every industry will be impacted by Cloud. However it evolves in the coming decade. The question will be, how fast can you go? And how will players like AWS and Microsoft and many others that are building on top of these platforms make it easier for you to go fast? That's what I'll be watching for at re-invent and beyond. Okay, that's a wrap for today. Remember, these episodes, they're all available as podcasts, wherever you listen. All you got to do is search Breaking Analysis podcasts. Check out ETR's website at etr.plus. We also publish a full report every week on wikibon.com and siliconangle.com. You can get in touch with me, david.vellante@siliconangle.com. You can DM me @dvellante or comment on our LinkedIn posts. This is Dave Vellante for theCUBE insights powered by ETR. Have a great week, everybody. Stay safe, be well. And we'll see you next time. We'll see you at re-invent. (soft upbeat music)

>>Okay, okay, we're back, you're watching the cubes, continuous coverage of HBs Green Lake announcement. One of the things that we said on the Cuban. We first saw Green Lake was let's watch the pace at which H P E delivers new servants is what's that cadence like? Because that's a real signal as to the extent that the company's leading into the cloud and today we're covering that continued expansion. We're here with Tom Black, who was the general manager of HPC storage and Omar assad, who's the storage platform lead for cloud data services at Hewlett Packard Enterprise gentlemen welcome. It's good to see you. >>Thanks Dave. Thanks for having us today. Good to see you. >>Happy to be here. Dave. >>So obviously a lot has changed globally, but when you think of things like cyber threats, ransomware, uh, the acceleration of business transformation, uh, these are new things, a lot of it is unknown a lot of it was forced upon us tom what are you guys doing to address these trends? How are you helping customers? >>Sure, thanks for the question. So if you think back to what we launched in early May, kind of the initial cloud transformation of what was our traditional storage business. Um, we really focused on one key theme. Very customer and customer driven theme that the cloud operational model has one and that customers want that operational model, whether they're operating their workload in the cloud or whether they're operating that workload in their own facility or Nicolo kind of the same thing. So that was kind of our true north and that's what we launched out of the gate in May. But we did allude in May to the fact that we would have an ongoing series of new services coming out on the uh H B Green Lake edge to cloud platform. And just really excited today to be talking about somewhat that expansion looks like um we will continue uh through this month and through the quarters ahead to really add more and more services in that vein of focusing on bringing that true cloud services model to our customer. So we're really excited today to unveil kind of, we've entered the data protection as a service market with HP Green Lake. So this is really our expansion into a very top of mind topic and set of problems and solutions or headaches and aspirins, to quote an old friend um that Ceos faces, they think about how to manage data through its life cycle in their organization. >>When I talked to see IOS during the pandemic. Not that we're out yet, but really in the throes of it and asked them about things like business resilience that they said, you know, we really had to rethink our disaster recovery strategy. It was it was sort of geared toward a fire or a hurricane and we we just didn't even imagine this type of disaster if you will. So we really needed to rethink it. So when I, I see your disaster recovery as a service and capabilities like that. Is that the Xarelto acquisition? >>Yes. Dave thanks you. So we're super happy to have the Xarelto team now as part of our family. Um, just a brilliant team, a well respected technology, uh, kind of a blue chips at our customers and partners that really appreciate what zero has to offer. Um, as we looked at the data protection as a service market, one of the hardest problems is really in that disaster recovery space, I think Omar's gonna talk a little bit more about today. Um, but sort of really does bring the leading industry, what's called continuous data protection um, capability into our green lake platform. Um, we've just recently closed the acquisition and we're working on kind of integration plan as we speak now that we can actually talk to each other post close. Um, but you'll uh, you'll continue to see, you know, some really exciting milestones each and every quarter as we march forward with certain now as part of the family. >>So we all talk about how data is, is so important. We certainly learned during the pandemic that that if you weren't a digital business, you were out of business and a digital business is a data business. So things like backup data protection as a service become increasingly critical. I know you have some capabilities there maybe you could share with us. >>Absolutely. So you know, one of the things that we noticed was as we took the storage business through its transformation and we started can work you know, with the launch of the electron 90 and the six K platform. We really really brought the cloud operational model to our customers. So one of the things that you know, feedback that was coming loud and clear to us is that as we look at the storage portfolio where we look at file block and object, which are now being transformed into a cloud operational experience, data protection, disaster recovery coming back into business after a disaster snapshot management. All of those capabilities, we still have to rely on our partner technologies in order to do that now. It's not bad that we have great partners in the data protection world, but what we're really focused on is that cloud operational model and cloud operational experience and to and as tom mentioned through the data management life cycle. So as a result of that, we talked to a lot of our customers, we talked to a bunch of partners and one of the things that was coming back was that yes, there are many data protection backup offerings on the market. But that true as a service experience that is completely integrated to the services experience of the storage that the customers is experiencing that is not there. So what we looked at was especially to the largest ecosystem, which is the VM ware ecosystems. So we're launching data protection as a service or backup as a service for our VM ware customers offered from data services, cloud console as a SAAS portal. 100% SAs service, nothing to install. No media servers, no application servers, no catalog servers, no backup targets, no patching, no expansion, no capacity planning. None of that is needed. All that's needed is sign on click. Give your V center credentials and off you go, that's it. That is it three clicks and you're in business. So currently, you know, in our, in our analysis we offer five x faster recovery from any of the competitive offerings that there there there are 3.5 better de doop ratios. But for our customers is as simple as this. VM is protected as this many dollars per gig per month. That's it. No backup target, no media server, no catalogs are nothing nothing to manage total Turkey off of the portal. So that's the cadence of services that if you promise and this is one of the first ones when it comes to data management that is coming out into the open. >>So you may have just answered this question, but I want to pose it and get you maybe just summarize it because tom was talking earlier about the customer mandate for cloud in a cloud operational model. So I want you to explain to the audience how you're making that real >>actually can I start that one should be the test was monday morning. Getting ready for this chat with you Dave they got me on console and I'm not kidding three clicks, I got back up and running off the lab VM ware instance so I'll pass it off to you the real answer. But if I could do it three clicks >>as well as a convenience of this service, even tom can be your back, you might be able to do with this. Uh again, you know, a very important question the when you, when you look at the cloud operational model as you abstracts the hardware and and take the management model up into a SAS service, it gives our customers that access to that continuous delivery access that we have. We're going to continue to make the service medal better in the cloud model and automatically customers get the value of it without even reinstalling or going through a patch cycle or an upgrade cycle. But as we get into this cloud operational model, one of the things that was missing was uh if you if you if you if you start to talk about applications, how our application workloads going to be deployed, how are they going to be protected and how are they going to be expanded? So what we did was we, we expanded our info site offerings by merging them into the data services, cloud console and we're releasing a new service called app insects. It is going to be available to our customers at the end of the month. Uh It is, nothing has to change. They don't have to install any sort of agents or or host modifications, nothing like that. If their customers of electra nimble primary boxes and they're using info site and data services, cloud console, they will automatically get app insights. What Athens sites does is it really teases apart all that data that we have been collecting within foresight and now with the acquisition of HPV cloud physics, we're merging them together and relating the operational stacked top to bottom. So discovering all the way from your application usage, network usage, storage, use it. IOP usage VM values cross, collaborating them and presenting that to a customer from an app or an outcome perspective all in the data services, cloud console. So what this does for our customers is it really really transforms not only their operational experience but also buying experience. Because if you remember in one of the earlier releases of data services cloud console we released this application called, you know, intelligent intent based provisioning in which you just describe your workload and we go ahead and we provision that app insights and info site, feed that information directly into that and cloud physics generates and results and displays those analytics back to us to your partner of record and to the H. B. So we can all come together on a common data driven discussion point with our customers to continue to make their journey better >>tom where's all the boxes, traditional storage is changing. I've actually been waiting for this day for a long, long time. We've certainly seen glimpses of it from the cloud players, but they don't have, you know, super rich portfolio storage portfolio. They're growing now, but this is a really good strong example of a company with a large storage portfolio. That's, I mean I haven't heard the word three power once today. Right. And so what that says to me, that's an indication that you're thinking like a cloud player, can you maybe talk >>to that? Sure. Yeah, we're just tremendously excited about this transformation and really the reception we've got in the market from analysts, from partners, from customers because you're right, you haven't heard us talk about a box at all today. It's really about a block service, a file on the object service, a backup and recovery service, disaster recovery service. That that's that is the the language, if you will of the business problems of our customers not, do they need to pick this widget or that widget. And how many apps can I get here and there? And which did the h a cage protection scheme be that, is that, is our job to manage underneath are true North, which is the cloud operational model. And so that's going to be really how we we've set our course and how we will uh kind of deliver products solutions offers into the market underneath that umbrella, Ultimately, um getting our customers wherever their data is Dave to be able to interact at that service level instead of at that infrastructure box >>level, you've got my attention wherever the data. So that's the north star here is this is, you know, you're not done today obviously, but you've got a vision to bring that to the cloud across clouds on prem out to the edge. That's the abstraction layer that you're gonna build, your hiding all that complexity. That's correct. And that's cloud. The definition of cloud is changing. >>Yeah, >>it's no longer started, it's no longer a remote set of services. Somewhere up in the cloud. It's expanding on prem hybrid across clouds edge >>everywhere. You're exactly right. Dave it is, cloud is more about the experience and the outcome. It gives a customer than actually where the compute or storage is. We've chosen to take a very customer an agnostic position of whether it's, you know, data in your premise, data in your cloud. We're going to help you manage that data and deliver, you know, that data to workloads and analytics, uh, wherever the, wherever the compute needs to be, where the data needs to be. Again, technologies like Xarelto giving instability and move data across clouds from facilities and clouds back and forth. So it's a really exciting new day for HP. Green Lake were just so super happy to bring these technologies out and really continue to follow on the course of doing what we said, we would do >>the new mindset starts there, I guess it's obviously knew certainly new technologies, uh, you're talking about machine intelligence is a metadata challenge. Absolutely. Big time, you know, long term that North Star that we talked about and applying that machine intelligence, all the experience that you gather data that you're gathering is, I think ultimately how customers want you to solve this problem >>in the middle of info site data services, cloud console and the instrumentation that is already shipping on our appliances, both in edge appliances and the data center appliances were collecting more than a trillion data points over the period of a quarter. Right at the end of the day. So it's harnessing that at the back end to cross relate and then using the cloud physics accusation. What we're doing is we can now simulate these things on behalf of our customers into the future timeline. So at the end of the day, it's really about listening to the customer and what outcomes that they want to achieve with their data storage is there we provide excellent persistence layers where customers can store their data safely. But at the end of the day it's customers choice, They can store their data out of the edge in compute servers, commodity servers, X 86 servers, they can have their data in the data center which they are privately owned or their data can be in a service provider or it can be in a hyper secular. The infrastructure of the persistence layer is independent from the data services. Cloud console data services. Cloud console provides our customers with a SAS based industry leading metadata rich management experience, which then allows you to draw conclusions. So services like cloud physics services like uh enforce it, provide the analytics and richness of the metadata, backup and recovery service allows us to index our customers data and add a rich metadata to that and then combine that with xylitol, which is our disaster recovery as a service offering. Going to start over here. That gives the customer a very simple slider as to where they want their protection levels to be, they want their protection to be instant or they want their protection to be lazy eight hours window. But the thing is at the end of the day, it's about choice without managing the complexities of the hardware >>underneath because programmable completely right I come in, what I'm hearing is file object blocks of your multi protocol. I got a full stack so data data reduction, my snaps might replicate whatever whatever I need it in there as a service. I can I can access latency sensitive storage if I need to or I can push it out to cheaper stores. I could push it out to the cloud, presumably I could someday I air gap it uh and it's all done as infrastructure as code and then different protection levels where I see this going. It really gets exciting is you're now a data company and you're bringing ai machine intelligence and driving data products, data services for your customers who are going to monetize that at their end of the value >>chain. That's right. That's right. And safely insecurity. Keeping in mind that was their toes technology. We can give you, you know, small second recovery points to protect against ransomware. So all of that operational elegance, all those insights and intelligence to help you build a more agile, um you know, workloads centric organization, but then to do it safely and securely against ransomware, that's kind of the storm, if you will. That's brewing. And we're just really excited to be at the eye of it. >>I'm excited to. This is uh I've been waiting for this day for a long time and we're not talking about envy, Emmy and Atomic Rights and I love that stuff by the way and I'm sure it's all under the covers, but that's not what drives business value guys. Thanks so much for coming on the Cuban. David. >>Thanks for having us. It's been great. Thank you. >>All right. We're seeing a transformation all through the stack and keep it right there. This is Dave Volonte for the Cuban. Our coverage of HBs Green Lake announcements right back mm mhm

>>Good morning. Good afternoon. And good evening. I am Kevin Duke with HPE GreenLake cloud services and welcome to the HPE GreenLake per private cloud session. I enjoined today by Raj mystery and Steve show Walter, who will walk us through today's presentation and demonstration. We'd like to keep this session interactive. So please submit your questions in the chat window. We have subject matter experts on the line to answer your questions. So with that, I'll hand over to Raj Kilz. Thanks Kevin. So cloud is now fast becoming a reality. We says HPE and what our customers say to is that it's not an expectation anymore. It's an absolute necessity. So the research and the stats that you see on the screen, just kind of like prove that over the last five to six years, organizations, enterprises are adopting cloud. Be it in the data center with the hyperscalers are a mixture of both. >>But the interesting thing that we see now is a moving investment to basically increase private cloud capability. Uh, and in that vein, what we've done with Greenlight cloud services is create a rich portfolio that delivers that cloud-like experience either at the edge in your data center, co-location the actually matches and actually embraces the work that you do with the hyperscalers. What we're doing here is we're providing self-service capability elasticity in the means and the way that you would use this and the way that you would flex things open down more importantly, all of this is one and operated for you, which comes true to what we say in terms of delivering that cloud experience within those locations, being at the edge, the data center or the Colwell, um, Greenlight for private cloud was initially launched, uh, in summer 2020, it was the first iteration of what we call the Greenlight platforms. >>What we're trying to do with this element of the Greenlight cloud services portfolio is four things which is eliminate the complexity of building things that live, breathe, behave, and act like in a cloud-like manner in the data center, because this is hard. Yeah, the visibility around the way that you would manage and understand and run and operate certain elements of that cloud, uh, the governance and the compliance pace, which is important, especially when it comes to things like applying policies, et cetera, that you would have. And then the skills gap that we do from our managed services perspective, that takes things off. So from an infrastructure standpoint, beginning of the left, well class HPE compute storage networks, which is embracing the virtualization and the software defined networking layer together with a pretty rich cloud automation and orchestration portal all wrapped up for you. Pre-built pre architected, removing complexity, increasing time to value, uh, and, and, uh, the, the actual delivery timescales, if we move to the actual experience, although this is actually, uh, embracing the way that you would access these, uh, solutions. >>So in, through GreenLake central, uh, that's where your other service experience begins with HPE is your entry point into the world of as a service from here on which you would actually access that service. So from a, from a private cloud standpoint, this is where you would initiate the cloud management portal. And then you would begin either working in that and the roles of either administrator, consumer, et cetera. Lastly, you know, pushing buttons and provisioning stuff is really easy, but a lot of our focuses is in the pulse provisioning processes, understanding is it turned on? Is it off? How much is it costing me? Am I getting the most efficiency out of it? Am I running out of capacity to deliver services to my users? All of this is finally wrapped up with the managed platform capability, which means you now have to understand and treat Hewlett-Packard enterprise as an MSP and a cloud provider within our data center. We take care of the infrastructure, the software, and the experience, your entry point is that the cloud management layer, that's how we get you going. >>Hey, Roger, I know we made some announcements earlier today about a new scalable form factor version of private cloud. I was wondering if maybe you could talk about how that extends the value proposition for customers >>Question Steve. Um, so what the scalable form factor is really is it's also looking at market feedback, understanding of what our customers are bringing this as a entry point into the smaller and the more medium enterprise who are looking to deliver private cloud capabilities, you know, making it easier for them to embrace it and then scale. The other differences is the way that we actually have flexibility in the way that that cloud solution now grows. So different options, uh, available to customers in terms of what they want to do. We typically talk as a team and to our customers about different roles. So we have a notion of the cloud administrator or the cloud operator. This is more of your classic kind of like administrative role. So this is where our customers would come in, right at the cloud management layer and begin configuring their EMR environment, networking services, et cetera, from here, onwards is the cloud consumer. >>So applications, line, application, developers, lines of business, et cetera, they're presented with a self-service catalog for them to come and provision stuff. It could be normal VMs. It could be kind of like applications depending on what the administrators or the operators of Charles and to present to them. Lastly, it's around, how do I understand what's going on in the environment? So the focus, as I mentioned beforehand, visibility to them understand what's happening to then optimize later. So addressing the needs of lines of, or it leaders and business leaders within our customer base, although this then begins from our central point of access, which is GreenLake central from here, services and solutions that customers subscribe to are presented, depending on who you are, your privileges, your role within the actual environment, you get different options. So a cloud administrator may see different things in central because they require administrative functions within the cloud environment. I consume it such as me may have limited views in central access a service, but I can basically only read our provision set, things that are done for me from a lines of business or from an it leadership perspective. It's about providing predictive billing visibility into cost, understanding from a planning standpoint and allowing people to optimize it, ease and speed. So central is where your journey begins. And then from within there, you launch the necessary service like you're subscribed to today's focus is the private cloud. >>So who is this a solution built for Raj? Uh, initially we started off at the large enterprise level, Kevin, but what we've done as we did as HPE has listened to our customers. So we've reintroduced on them. We're launching today, the scalable form factor to address the needs of a multitude of clients, both large and small and enable people to have different kind of like deployment types. So remote office branch office for the larger customers, and for those smaller enterprises wanting to begin their private cloud journey, a great way for them to do that with HPE. >>All right. Thank you. >>Um, how does the customer access the private cloud environment, uh, by agreeing like central Kevin? Great question. That's our entry point for any of the services? Uh, easier to see later on in the demo that Steve's going to walk through, uh, it's where customers come in and depending on role access, privilege, rights, et cetera, you are presented with your services. And from within that you access the service depending on the role that's been assigned to you. So state, why don't you show us a little bit about what a cloud administrator or a cloud operator can do within the environment? Sure. Happy to rush. As we talked to these personas are use cases. You know, our experience, as Raj mentioned, will always start in GreenLake central. So the role or persona I'm taking on here is that of an administrator of this private cloud environment. So again, I start off by logging into GreenLake central. Once this stood up, services stood up and available, uh, within my data center, I see the green Lake for private cloud tile, which gives me an overview of services I'm consuming. And some of the things that might be running in that environment, clicking on the tile, takes me to the cloud management platform dashboard. This is where I, as an administrator can configure and control lots of things in the environment on behalf of my end users. So a couple of examples of things I might want to do first off. Uh, there's an important >>Notion of grouping that we use for access control within the environment. So I may want to organize my users into groups to control what they can see, what they can do, what sort of policies I can apply to them next. I probably want to configure the underlying software defined network that Raj talked about. So again, we deliver a software defined networking capability from within the software defined network. This is where I can create things like underlying networks, underlying distributed V switches at an IP address pools. I can also configure and manage software defined routers, firewall rules, and some of those sorts of things within the environment, uh, in the IP address pools I have that I want to make available to some of those underlying networks I could manage from within here as well. We also feature software to find load balancing capabilities. So again, if I expect to my developers or my end users, to be able to provision resources that require some load balancing, I can create those load balancers define the types of load balancing I want to make available to those end users from within here as well. >>Finally, I can manage keys and certificates. So if I have things like key payers or SSL certificates, again, that I want to make available to my end users, um, I could manage all that from within here. And then one of the final things I might want to do is start to manage a, an automation library. So a library of virtual images, I don't want to make available for, for my end users because the private cloud solution is based on VMware. I might want to just pull in some existing VMware images. I have, I might want to create some new custom images, but really I have a central place to be able to manage that library of images and then, you know, decide who has access to which images and how I want to make those available to end users users to be able to provision and lifecycle manage. >>So that's a quick overview of some of the administrative capabilities, uh, Kevin, any questions at this point about that capability? I got one for you customers bring their own tooling to the private cloud. Oh yeah. So that's a great question. So, you know, almost every customer I talk to nowadays has made a large investment, typically in some sort of automation tooling. And one of the things that we want to provide is the ability to surface that tooling and kind of allow customers to be able to reuse that tooling within our private cloud environment. So within the private cloud platform, as an administrator, I can create all sorts of scripts and, you know, maybe some basic capabilities I wanted to find for scripts, but they also have the ability to integrate automation platforms. So we can see in this particular environment, I've, I've onboarded a, uh, a set of Ansible playbooks that exist in a get repo. Uh, I really just point the cloud management platform to that repo it scrapes all the playbooks that it finds there and those become available as tasks and workflows that I can use, uh, after I provisioned BM. So again, I can reuse that investment that I've made in automating things like application provisioning, application configuration for my end users within my environment. >>I've got another one for you. Uh, how do customers improve control and governance of their private cloud? Yeah. So there are a couple of different ways to do that. So, you know, we'll talk specifically. One of the capabilities I have within, uh, the cloud management platform is the ability to create, uh, policies. Policies are really a way I can provide my users with, you know, self-service access to kind of go do the things that they need to do, but provide some control around what they can do. So there's all sorts of policies I can create. So policies around things like if I've got certain group of users that I want to require to get provision approval, anytime they approve provision something, I wanted an administrator to approve it. I can also limit the things that maybe a group of consumers of consumers can consume within my environment. Maybe I want to define a certain host name rule. So rather than create your own host names, I have a rule I want applied. Um, if tagging and showback is important, I might want to force some tags within my environment, say, Hey, anybody who provisioned something needs to provide me a value for this tag. And then I can define how that applies within the environment. So hopefully that answers some questions and gives you a feel of how these cloud administrators would work within the environment, TB to be able to manage the overall environment itself. >>Perfect. Thanks Steve. So what we've just described in seeing is, is the ability for a cloud administrator to a do day one tasks, set things up, set some services off and more importantly, apply some rules, controls, and governance. So it keeps users safe and it keeps it happy. Really. So let's say I'm Raj, I'm the head of applications and I've got a team of developers. So I'm now going to come in as a consumer. Can you show me what I can do as a consumer pleaser? >>Sure. Raj. So again, just like with the administrative use case, we talked about as a, as a cloud consumer, my experience starts in GreenLake central. So once I'm logged into GreenLake central, if I've been provided access to the environment by my administrators, I see the green Lake for private cloud tile, and I click on it to get to the cloud management platform. Just like the administrator you use. Now, I probably see a lot less because I probably have a lot less capabilities here, but one of the first places I'd probably want to go is take a look at what instances have been provisioned and maybe provision an instance on my own. So, you know, instance provisioning is very simple. Really. It's just a few clicks and answer a few questions. Uh, so in this case, if I have access to multiple groups, so kind of that logical separation that I talked about, I'd first pick, you know, which group is this a part of? >>Uh, again, in my particular case, I can provide a freeform name because that's the policy that's been set up for me. Um, I've got a forced tag, right? So I have to provide a tag or a label that tells me what, uh, what, what area this is a part of. And as I continue to drill down, now I get to a point where I can select my image based on the images that have been made, made available to me. Um, I can choose a size of a VM. So we have sort of some pre-provision sizes that might administrators have made available to me. And in some cases I can customize some things within those sizes, or maybe I can't, again, just depending on how this was created, select the network that I want to connect to, uh, and provide a few other options. One, the things I do want to talk about is this notion of tagging tagging is very important from a showback perspective. >>And we'll talk about when we get to cost analysis, how we can use any tags that get applied here to be able to do some show back reporting later. So if I want to provide a tag for an owner to make sure I can always write a report that says, show me everything that Steve has consumed. I've got the ability to provide those tags here. And again, through a policy, I can make those tags required. A couple of other choices. I have any of that available automation that maybe my administrators have made available. I can run here. I can select some scaling of my application, maybe go ahead and auto select the backup schedule, manage some lifecycle actions if maybe this VM only needs to run during weekdays. And I don't need it on the weekends. I can have it automatically shut down and start up. >>And at the end, just click on complete. Uh, and my VM is often being built. And then, you know, once my VMs are up and running, I've got access to be able to manage those VMs on a running basis. So, you know, if I have a VM that's running and I want to be able to manage it very simple again, from within the cloud management platform to go take a look at maybe how this VM is performing, maybe I want to log into the console. Maybe I want to take a look at the log stash that, you know, the log log error messages that this VM has created, or maybe I just want to stop it, start, it can create an image from it, or maybe, you know, after I've provisioned, it runs some of those workflows on it as a, as a end-user, I've got the capability to kind of fully manage and fully control those VMs once I have them up and running. >>So that's a quick overview of that cloud consumer use case. Uh, Kevin, do you have any questions right now about that use case? Yeah, I do, uh, cloud consumers today want more than a VM, so how can a private cloud deliver more value for cloud consumers? Yeah, so that's a great question. So we talked a little bit about the cloud management platforms, ability to integrate with existing automation, for things like, uh, application installation and configuration. Uh, but one thing I didn't talk about is kind of an alternate way. We can use that and that's through this notion of blueprints. So within the cloud management platform, I, as a developer or as an administrator can set up blueprints, which are really, uh, very complex applications. These could be multi-node multi-tiered applications where each tier may have a different application installed. They may be load balanced, all those sorts of things, and I can stitch all those together and make them available as a catalog item. >>It's just kind of one simple catalog item for an end user to consume. So they don't have to understand all the complexity or all the multiple nodes or all the workflows required on the backend to provide that service. I've already done all that hard work. I advertise it to them and they don't have to know, again, in this particular case, I've got a web tier made up of a couple of VMs, a database tier made up of a couple of VMs. Uh, there's some automation running, maybe through those Ansible playbooks, uh, in, in the backend to make all those things happen really, as an end user, I just say, Hey, I want one of these applications. I may need to answer a few questions, uh, depending on how the application or their blueprint is built. And then I could push that out as an application. And again, I don't have to understand all the complexities that make up that multi-node multi-tiered application on in the background >>Stay. That's really cool. So like phase as good as it can be. So, right. So we've pushed some buttons, we've set some stuff up, we've provisioned some stuff. So right at the beginning, you know, we spoke about the post provisioning stuff. So how do we actually manage the costs and also look at their usage within their environment, which is also important to our customers. >>Yeah. So it's a great question, Raj. So, you know, obviously customers want to understand what their overall green link consumption is, what their bill is, how all those things relate together. And then they probably want to do much more detailed cost analysis as well. So the good news here, we provide all this tooling and all this is available right through GreenLake central. So a couple of the tiles that you'll see in GreenLake central tie into the private cloud solution, just like they would any other GreenLake solution. So if I want to see overall what I've consumed, uh, within my private cloud, as a GreenLake resource, I can drill down to understand, Hey, what was actually metered as what I consumed, how did that relate to my GreenLake rate card? You know, how did that, how did that create the number that appeared on my GreenLake bill for this particular service at the end of the month, I've also got the tools to do capacity planning, again, just like every other green Lake environment. >>Uh, we want to be able to show kind of that capacity planning view so customers can understand kind of what they're consuming, uh, what direction that's trending. And when we need to add some, we may need to add some more additional capacity. So again, when a customer needs more, it's already there and ready to go, they just start to consume it and pay for it as a part of their green Lake bill. So Greenlight customers have a dedicated account team that kind of works with them to keep an eye on that capacity. And again, make sure we're working with customers to make the right decisions about when is the right time to add additional capacity to the environment. And then finally, you know, our customers also get access to consumption analytics for much more detailed cost reporting. So within consumption analytics, I can take advantage of those tags that I talked about previously. >>So here's a report I created where I want to see my private cloud consumption and use really broken down by cost center. And by the VMs that my users within each of those cost centers is consuming. So I wrote a report to do some showback costing based on those tags. So in this particular case, I can tell, for example, the colo engineer cost center that Hey you over the last month, you've consumed 32, uh, elements within the private cloud environment. You know, your total cost for that was $860. And I can give them the ability to, you know, if they want drill down on this. So, you know, now they'll see every individual VM that was provisioned, uh, where it ran when it ran. And in this particular case, I've broken down the cost between compute and storage, because I really wanted to see those separately as separate line items, but, you know, really give customers the ability to do whatever showback or chargeback reporting makes sense within their organization, based on the tags. >>They want to apply it and how they want to be able to show and consume those costs. So, Kevin, any questions about, uh, sort of this cost analysis use case? Yep. Is there a way to proactively monitor consumption of the private cloud environment? Yeah, so we actually provide a couple of different ways to do that. Uh, one right within consumption analytics that we talked about, one of the capabilities I have is, is the ability to set a budget. So in this particular case, I've set a budget again, kind of by that cost center that I can take a look at, Hey, you know, what are all these cost centers consuming within this private cloud environment? Uh, and how does that relate to, you know, what maybe, uh, an amount that I've given them to be able to use? So I can take a look at it and see, Hey, in the current period, you know, I've got one, a cost center that's over budget two that are under budget and take a look at their historical use as well. >>Going back to the cloud management platform. I also have more of a hard way to be able to set those consumption boundaries, uh, by using a policy. So again, if I want to create a policy that says, Hey, you know, Steve can only have 20 VMs. Uh, once he's provisioned those 20 VMs, he can't have any more, um, you know, he's got to come back and ask for more. And again, you know, when I create this policy, I could apply it to a group or an individual user just kind of based on how I want to put those guard rails around that environment and then sort of do that around that environment. So there's kind of a way to do this in more of a soft way based on cost to understand budgets and get notifications. When I get close to my budget limits or more of a hard way to actually, you know, be able to limit resources that customers can consume within the environment itself. So with that, Raj, I'll throw it back to you. >>Thanks, Dave, >>Just to wrap up really, you know, Steve and Kevin, thank you for the great demonstration and the chat, really, um, a few things for the audience and our customers, uh, to understand what we're now doing with Greenlight for private cloud and other platform solutions is helping you to get started really, really quickly, allowing you to begin your journey with us at the right level. And then you can scale depending on how you are actually managing your transformation, be it from an infrastructure standpoint application standpoint, or you are looking to basically just modernize the way that you deliver services back out to your internal users. The other side of it is, is the important fact that we now act and behave very much like a cloud. So because we run those environments for you, we eliminate the complexity of feeding them all, Trang, all the infrastructure, the configuration, and the updates of the software layer. It leaves you free to basically deliver the services like Steve has just shown the other side of it. Final point, is this all usage based? Uh, so again, lowering kind of like the initial investment risk for you guys, allowing you to, uh, benefit from the way that we've actually integrated the solutions and technologies. So you can just embrace them and take advantage of. >>Excellent. Thank you, Raj. So I would like to thank you all for today. Thank >>You, Raj and Steve, for a brilliant demonstration. If you would like more information or like to speak to someone directly, then please fill out the poll by clicking on the poll option at the top of the chat box. So in closing, if you are interested in HPE GreenLake for private cloud, then please start a trial. It's easy. Thank you. Thank you all and goodbye for now..

one thing i'd point out is well flashblade one of our products is scale out flasharray our first product is not scale out um you know scale out isn't a capability for a customer it's an architecture in how you build the product uh you know when i scale out i have more complicated software i have more components more components lead to more failures right if i have a piece of memory and it's going to fail at a certain annual failure rate and i have 10 pieces of memory i'm going to fail at 10 times that same rate so scale out introduces complexity it introduces more components and then you have to say what do you get from it so if our customers needed a lot more performance than we're delivering if they needed a lot more scale than we're delivering in the flash array product we then react to that and go build scale out where the flash array sells we don't see that as a major market need it's more of a niche where flashblade sells then there is much more of a need for that and that's why flashblade would scale out from day one the tam expansion really is following where solid state takes us you know we've gone from um a world that was where believe it or not most computers still had mechanical systems operating them it's sort of like having a mechanical calculator rather than an electronic calculator right we had mechanical disks in our computers literally spinning rust right and it's only been in the last decade where a semiconductor you know where solid state has taken uh the place of that called flash right well as that continues to get less expensive we now can bring not only flash performance into disk economics but more importantly now we can finally have modern software that is driving the need for having greater flexibility with our data as data grows it now we say it has gravity that is it gets heavy it gets hard to manage hard hard to move uh between different environments and now a lot of infrastructure operators are spending much more time managing their data managing the storage systems for their data than they are managing anything else in the data center environment we want to eliminate all that we want to automate all of that you know on the theme of decades two decades ago every application had its own individual communication stack there were dozens of different protocols and a dozen different networks in every company one decade ago ago every application had its own um custom hardware stack and and custom operating systems stack well today there's one network it's called the internet uh today everything every application every server is virtualized allowing mobility and yet storage is still static we we want this decade a bit to be about making storage and data dynamic and really responsive to the needs of the application environment sure so it's a it's a deep relationship that's only getting deeper and it's really at all levels it starts with the executive alignment you think about charlie giancarlo from cisco we've got a lot of just common cross-pollination there but now it extends certainly the field level tom and i are doing a lot of planning together in terms of having our teams go after common use cases but now it extends to engineering as well we had a ucs director plug-in that we've had for some time now uh but but pure is now first in terms of having integration into cisco intersight so we are first and only to have storage integration at the cisco intersight so that cisco and pure customers can really manage their uh environment from from one console so a lot of simplicity uh the single sas interface for managing everything tom why pure why first with that well you know nathan he articulated it well you can look at the executive level we talked about charlie but even you know all of our cisco executives but also to the engineering this the we started really strong uh with the field sales teams but even if you look at the little things that our customers notice but a lot of people may not like the internal development of validated design guides use cases we churn them out um with pure as uh you know our top ecosystem partner more than anybody and there's a lot of work being done our customers see that and it's really helped drive you know our go to market together it's really a very strong strategy and what is the type of data that's going to be the best fit for it there are a lot of common patterns for consumption in a.i uh speech recognition image recognition places where you have a lot of unstructured data or it's unstructured to a computer it's not unstructured to you when you look at a picture you see a lot of things in it that a computer can't see right because you recognize what the patterns are and the whole point about ai is it's going to help us get structure out of these unstructured data sets so the computer can recognize more things you know the speech and emotions that that we as humans just take for granted it's about having computers being able to process and respond to that in a way that they're not really capable of doing today absolutely absolutely yeah no i mean i think it's been a really exciting conference for us so far like you said a lot of payload coming out um you know as far as the building the bridge of the hybrid cloud this has been you know we this has been i would say a long time coming right we've been working down this path for uh for a couple years we started by bringing some of the cloud-like capabilities that customers really wanted and were able to achieve into the cloud back into the data center right so you saw us do this in terms of making our on-prem products easier to manage easier to use easier to automate you know but what working with customers over the last couple of years you know we realized is that as the cloud hype kind of subsided and people were taking a more measured view of where the cloud fits into their strategies what tools it brings you know we realized that we could add value in the in the public cloud environment the same types of enterprise capabilities the same type of features rich data services uh feature sets things like that that we do on premise in the cloud and so what we're looking to achieve is actually quite simple all right we want to give customers the choice whether whether customers want to run on premise or in the cloud that's just a choice of we wanted to we wanted to make an environmental choice we don't want to we don't want to put customers in a position where they have to make that choice and feel trapped in one location or another because of lack of features lack of capabilities um you know or or economics and so the way that we do that is by building the same types of capabilities that we do on-prem in the cloud giving customers the freedom and flexibility to be agile sure well we're a two-year-old uh startup uh headquartered out of bellevue washington and we really focus on two primary uh businesses we have a blockchain business and we have an ai business uh in blockchain we are one of the largest blockchain cryptocurrency hosting companies in north america uh we've got uh you know facilities uh uh four facilities in north carolina south carolina georgia and kentucky and you know really the the business there is helping companies to be able to take advantage of blockchain and then position them for uh the future you know um and then on the ai side of our business uh really you know we we operate that in two ways one is we can also co-locate and host people uh just like we do on the blockchain side but primarily we're focused on uh creating a public cloud focused on gpu-centric computing and artificial intelligence and we're there to help you know really usher in the new age of ai how does pure actually take that word simple from a marketing concept into reality for your customers yeah you know i i think i think simple is um the most underappreciated but biggest differentiator that pure has um i was recalling for someone you talked to cause earlier today i had a conversation about three weeks into the existence of pure excuse me with cause and we were just debating i mean this is before we wrote any code at all about what would be pure's long-term differentiator and i was kind of like i will be you know the flash people or high performance or whatever he's like no no we're going to be simple we are going to deliver a culture that drives some plus into our products and that will be game changing and i thought he was a little crazy at the time um but he's absolutely turned out to be right and if you if you look over the years that started with just an appliance experience a tent card install you know just a really easy environment but that's manifested itself into every product we create and it's really hard to reverse engineer that you know it's an engineering discipline thing that you have to build in the dna of the company so how do you see the partnership with splunk just in terms of supporting that tam expansion the next 10 years so analytics particularly log analytics have really taken off for us in the last year as we put more focus on it um we want to double down on our investments as we go through the end of this year and in the next year with with a focus on splunk um as well as other alliances um we think we are in a unique position because the uh rollout of smart store right customers are always on a different scale in terms of when they want to adopt a new architecture right it is a significant uh decision that they have to make and so we believe between the combination of flash array for the hot tier and flashblade for the cold is a nice way for customers with classic splunk architecture to modernize their platform leverage the benefits of data reduction to drive down some of the cost leverage the benefits of flash to increase the rate at which they can ask questions and get answers is a nice stepping stone and when customers are ready because flashblade is one of the few storage platforms in the market that is scale out bandwidth optimized for both nfs and object they can go through a rolling non-disruptive upgrade to smart store have you know investment protection and and if they can't repurpose that flash rate they can use pure as a service to have the flash raise the hots here today and drop it back off to us when they're done

>> from Austin, Texas. It's Theo Cube covering your storage accelerate 2019. Brought to you by pure storage. >> Welcome back to the Q. We are wrapping up day two of two days of coverage. We're getting some applause. I'm pretty sure that's for us. At pure accelerate. 2019. Lisa Martin flanked by two gents Day Volante and Justin Warren. You probably know Justin, who's been on the Cube many times and less. Chief analyst. A pivot. Nine. Justin. You have been covering this event and well as an independent, so we want to get your take on this two days. We've had our 1st 2 day for the Cube covering pier storage. We've spoken with lots of people, cause Charlie kicks. I'm sure there's more nicknames that I'm forgetting customers. Partners. Dave. Let's do a quick recap of some of the trends and the themes that we've heard the last couple days. And then we'll get some independent analysis. Justin on Not just what you've heard the last three days, starting with a tech field day, but also just your history of covering and working with here. >> Well, so for my sample, its story of growth they even started pure starts all the press releases with the only company that's growing on the growth storage company. The growth in the first. So so this growth is a financial story there. Um pure is going for growth, the markets rewarding growth right now. So it's smart, double down on growth. That might change at some point on. We talked about Charlie Jean Carlo about this, and they'll decide what what they do at that point time. But But from a financial standpoint, growing fast, uh, like their balance sheet, be interesting to see if they can leverage it. Maur. But maybe they're using it for Optionality. They'll do 1.7 this fiscal year. 1.7 billion. That's good. They got 70% gross margins. It a little bit of free cash flow. Not much because they pour it back into the business. So story a growth that's number 12 was differentiation. Um, I think it it's pretty clear that their products are differentiated from the sort of big portfolio companies. I mean, it's it shows up in the numbers and the income statement, and it shows up when you talk to customers simplicity, the whole A P I thing. I guess the third is products. I mean, they're embracing the cloud, which is kind of interesting. I don't think they're gonna do a ton of business with block storage for AWS, but it's an interesting hedge, and I think it's really cool from an engineering standpoint on, I think you know, two other things. Culture but orange. They're different, They're cool. They're hip and customers, which at the end of the day, that's where the rubber meets the road. Customers happy you talk to companies are customers of companies like pure service now Splunk Nutanix >> Uh uh, >> and some others. And they're happy. They love it. It's transforming their business. Snowflake is another one. Really? How come you AI path is another one? These are the hottest companies in the business right now, and you can tell when you talk to their customers is good story >> and their customers articulate their differentiation for them pretty darn while what? You know, we've spoken to a number. I think four or five customers the last couple of days, and they're not talking about Flash Ray flash blade X M flashback. They're talking about their business and how the I T is benefiting from that and how the business is benefiting from that. You also see piers very vibrant culture being embraced organically by their customers. There's plenty of customers walking around and the brightest orange I think I've even seen here. So there they're differentiation. Their culture, their customer experience and their ability to really differentiate three that are were loud and clear for what I heard through the voice of the customer and the partners, Frankly, as well. >> So I guess, Justin, I mean, the other pieces Tam expansion 1st 10 years, Cloud New Way I workloads partnerships with backup companies growing. The Tim I've said the 1st 10 years is probably gonna be easier, and I know that's a terrible thing to say, but don't hate me for saying it pure. But then the next 10 because they're up against the flat footed E. M. C. That was getting pounded by Elliott management with pressures to go private, trying to hang on to its legacy business and then got acquired and distracted by Del. So that was a really tailwind for Pierre. Now it's like Cloud guys got their act together, you know? Aye, aye. Everybody's doing A s. Oh, so they get some challenges. But what's your take? I think I've >> still got an advantage. Talking to some customers, 11 in particular was quite clear. That they saw pure is having at least a 2 to 3 lead through 2 to 3 year lead on the technology from some of their competitors. So they shopped around and they had a look at some of his competitors, and they thought that actually they were trying to sell me technology that's 234 years old and they quite from them, was that this is something that I could do myself, so they clearly see that pure provides them with something that they can't do themselves. So pure has an advantage there. I also think that the way that the market is changing advantage is pure, a little bit as well. So you mentioned Cloud there, Dave and I think that we've all seen that people have realized that multi cloud is a thing and that not every workload is going to go to the cloud. A lot of it is going to stay on Prem, so now that that's kind of allowed, people are allowed to talk about that, That there are CEOs who would have been being pressured by boards and so on to say we have to go all in on the cloud. Now they can come back to them and say, Well, actually, weaken, stay on side. That means that we should be looking at some of these onside products, like pure so that we can go on put in storage. A race in a data center may not be our Dana Senate might be in Coehlo, but we have this on site method of doing things. Not everything has to go to the cloud. So I think that will help them with some of the growth. >> So I'm left thinking, What would Andy say? Okay to >> be >> It's the number one hottest company, you know, notwithstanding some smaller companies right now, cos moving the market is a W s obviously Microsoft with the trillion dollar valuation. But Amazon, to me, is the benchmark it. So I feel like Jassy would say, Well, so Hey, Andy, you've acknowledged hybrid, you know? Actually, yeah, I guess he uses that word. Um, and you're doing some stuff one prim, but I think he would say we still believe that the vast majority of workloads are gonna land in the public cloud. And what you just said is what everybody else believes. And to me, they're in conflict and I don't necessarily have the answer. But you got the big gorilla. Now the big claw gorilla is moving. The markets say with one philosophy and they've made some good calls and the entire i t industry. Yeah, the other the inspector. >> Except that AWS has outpost have a product that actually sits on site. And they did. And Jesse last year said that he did say that the boat inward, multi cloud, >> you know, So, uh, sorry. Used the word multi cloud used hybrid hybrid cloud. They don't say that. That's for Boden, but no. But my point is they've acknowledged hybrid, which they never used to talk about hybrid. So they capitulated there The end where capitulated on their claws on its cloud strategy. But he has not capitulated on the belief the firm belief that most workloads are gonna be in the club. I'm not sure he's wrong. >> That may be true, but on what Time horizon? So that's not going to happen next year. But I >> think for sure, >> I pointed out that the agile manifesto came out in 2001. That's 18 years ago. Not every shop is doing software in agile, so enterprises take a long time to change, so there's plenty of room for pure to grow. While that changes going on, even if it if it does go all their own cloud, it's gonna take a long time to get there. And people can make plenty of money in the meantime. >> But I believe you're sorry. I believe pure is growing in what is a crappy market. Yeah, I think the storage market is a crap market right now. It's one that's very difficult. The leader Deli emcees growing at 0%. And that's a goodness because they're gaining share. Ned ABS down last quarter, not minus 16% IBM, minus 21% hp thrilled with whatever 3% or whatever. They're at a minus three. I can't remember now. Here is the only one that showing any substantive growth on my premises there, doing that by having a superior product and business model, and they're stealing share. So and then I ask you this. I I believe in hybrid, by the way. But I'm just playing kind of devil's advocate here. Cloud is growing and it's consistently growing and everybody talks about repatriation. You don't see it in the numbers. Every talks about the large of the law of large numbers like in other words, they hit a wall. You don't see that in the numbers. What you see is the traditional IittIe spaces flattish. The new stuff that they're all developing is not growing fast enough to offset the old stuff. You see that? Certainly. See that IBM. You see that now? Adele, even though they had good bounce back last year. But now you're seeing that Adele Oracle ekes out 1% growth. So the big, uh, legacy companies are growing there, hanging on there, throwing off tons of cash. They got good, strong balance sheets, maybe taking on some cheap debt. But the cloud continues to grow at a pace that I think it's stealing share from traditional I t. >> That's that's a reasonable sort of announcing something. Yeah, whether or not we'll see an increase in growth of onsite, particularly things like EJ computing way, maybe you need Thio redefine what we think of as a data center, and maybe we're not thinking about a broad enough market. I actually think that a lot of those workloads that we would traditionally have said would go on site and cola. I don't think Cola Data Center is actually growing all that much, but I think we are going to see growth in things like EJ. >> So that's a really great point I want. I want to come back to that. But the big question is, then okay. Can cloud be before we get ahead, you can cloud be a tail wind for pure. They've embraced it. 20 years ago, the leaders of a company would say, Oh, no, it's cloud his crap about a peace Caesar of toys You remember that pure embracing cloud, I think, is impressive only from an engineering perspective but business model. So can they make in your opinion cloud a tail wind and an opportunity? Maybe that's where Multi Cloud comes in. >> Yeah, it's tricky. I think it will become more of an advantage once good things like kubernetes and containers matures a bit further and people are used to being able to deploy things in that way, both in Cloud and on site. I think that that's the portability play, and it's more about making onsite more cloudy rather than making the cloud more enterprising, which I think was one of the messages that we had here. Because enterprises a lot of what yours messaging so far. And it's product development, particularly around cloud block stories, to make the cloud look more like an enterprise. Where's what we actually needed it to go the other way. Pure is doing things in that in that regard with pure storage optimizer, which which takes a lot of the decision making a way that from the way you would normally do things on side the way we've gotten used to it, manually configuring things, it's actually turning it into software on just letting computers handle it. That integration with things like the M, where is making things operate a lot more like cloud? So once enterprises become used to operating on a lot more like clouds, I think that's going to be an advantage for pure. To be ableto have that operations be in cloud and then they'll bring in products into in time for that to happen. >> You have the opportunity just in a couple days ago to tend the technical field day, the TFT that pure dead. So you got that double click the day before all the press releases broke about. Some of you know, we talked about the expansion into cloud with aws Maur, their portfolio delivered as a service. The aye aye data hub. But if we look at one of the things that stuck out today was differentiation. We've talked about that a number of levels in the last minutes. But talk to us about the technical differentiation that you've not only heard this week from pure, but that you've been engaging with them for years. You have an interesting story of Of John Cosgrove caused their CEO and founder really describing something very unique. That seems to be quite a technical level of differentiation that you even said We don't see this from a lot of their competitors. Give us a little snapshot of that. >> Yeah, you don't sort of get that level of detail in some of the briefings as well. So it was another tech Field day event some years ago on was talking about flash array and we sat in a room, and they had a flash array in front of us, and I think they were talking about the newest kind of flash they were putting into this. But they described some of the technical decisions they made about the architecture inside the blade. So at that time, and I hope I'm getting all these details correct, they had designed and asic, so to go in front, off the flash so that they could essentially create a layer above above the flash that they could speak to within their software. That meant that it didn't matter which flash foundry they bought it from, because it's slut. There are certain differences around the way that flash works, and they do address the flash directly, unlike buying SS D's and putting them inside the box. So that gives them a performance advantage because you don't have a whole bunch of software translation going on to get into the flash. But that decision meant that they could then change flash foundry without changing the experience off the awful. The software developers up the stack inside their array, so that meant that there cadence of being able to bring out new products and gradually dropped down the cost of the supply of flash, which makes up a large amount of the calls on these particular devices. It provided them with better options so they could maintain, maintain optionality essentially and be very, very flexible and react to the things that they can't predict. So Charlie mentioned in the briefing yesterday that you know, in this industry, you might get a 20% drop in the cost of flash in one month, which will then affect them their revenues in coming months after that, because clearly they want to pass on some of those cost drops to customers. But it needs to be done a certain, more manage way. When you have that kind of dynamic behavior happening in the market, being able to react to that well in something where the hardware design time can be 18 months to two years, building that into your product so that it then provides you with business options as a technology, that's a really impressive way of thinking about how all the different pieces of your company have to interact with each other. So it's not just about the technology, it's about the business and the technology working hand in hand, >> and those lower flash prices should open up new markets for them. Flash a racy I think they call it, is still not at the price of hybrid, I wouldn't think, although they saying it will be. Hybrid arrays are priced around 70 60 70 cents a gigabyte today is according Thio Gardner analysis. Big >> Challenge with hybrid of rays Which flat, which flash around flash or a C wouldn't actually wouldn't have? This problem is the reliability of the Leighton see and predictability. So with an old flash array, you don't get Layton. See sparks if you suddenly exhaust the amount of flash that you have in a hybrid of rain that has to go back to the disk. So if you need that predictable performance, that's why people have gone with flesh arrayed very beginning, absolutely getting that as a capacity tear. I think that provides a lot of reliability, for particularly when you've got large amounts of data need to write flesh >> and the price is coming down and it's maybe it's double now on a per gigabyte basis, that'll come down further. But I welcome back to EJ because I think you bring up a good point And we didn't Thankfully, here a ton about EJ. I think we heard anything about EJ at this show. We didn't get inundated with edge, which we always do with these big shows. And I'm happy about that because I think that that a lot of the companies that we re attend I think they got it wrong. They're taking a box and they're throwing over the fence to trying to do a top down model to the edge. Hey, here's a server or here's a storage device and we're gonna put it at the edge. It's like, OK, well, I think the edge is going to evolve as a software development. You know, play not isn't over. The top is gonna be bottoms up innovation. Now, I don't know question about you know, whether Amazon at the edge vm wear at the edge. Um, but I don't see any traditional i t companies crushing it at the edge there talking about it. They're trying to build out ecosystems, and but nobody's has meaningful revenue today at the edge. But it's a new way to think about this. Distributed massive compute engine >> on. I think we'll start to see that mature as people start to bring out products that actually do operated the way heard from Nvidia about some of their ideas that they have about doing a I processing at the edge for things like image recognition systems, where you train your model on leg large data sets in a cloud or in a data center. And then you shoot those models out two devices that operate on a smaller data set. But for a lot of these things, you need to do data collection at the edge. So Formula One is a classic example based given for the F one racing team is an I. O. T. Company that is connected to a nail and analytics company. Really? >> Yeah, that's right. We did hear about EJ and that an actual use case is in college edge, so there's going to be >> a lot more of that. We have things like sensors are just all over the place, so you know, in anything in retail, if you have fridges in retail and you need to monitor the sensors in those to find out whether or not is the temperature going out out of control or outside of your control limits because that will affect the food that's in that. There's a whole bunch of kind of boring examples that are actually all I OT. So I think some of those will start to push more data into into devices at the edge. And as people's understanding of how to use machine learning and I matures away from the hype, I think we're pretty peak hype at the moment. Once we do actually drop that back a notch and we see that people they're doing really use riel riel world use cases with real world business value that will start to drive a lot more of the growth of practical. And that will drive growth in data, which will need to get close throughout the weather's device. >> I think you're right. I think that date is gonna be at the edge of a lot of that data. I would say most of that date is going to stay at the edge. It's probably it's not gonna says it. Probably it's definitely not going to sit in a million dollar storage array, and it's gonna comprise a lot of alternative processing arm, Uh, GP use versus conventional microprocessors. So >> and that's where I think he was thinking about, like the white pure One works, for example, pure. One works the same no matter what products you have from pure, and they have been very clear in stating that they want to make sure that when they bring out a new array or a new product, it works with pure one. So it's that consistency of experience for their customers, which I think is fairly unique in the industry, is a lot of other products that will come out. And they only partly supported, not full support for their entire race tagging. AMC struggle with that for a long time simply because it has so many products and needed to kill a whole bunch of them first. So when when you have that kind of engineering discipline built built into your company, when you go out and you have customers who have edge devices or you have stuff in the cloud and they have devices on their phones which they used to showing off a conference and say, Hey, come and have a look at my array, it runs on software on my phone that's pure one that software ability that pure has of being able to address this data wherever it is. I think >> there's >> a real opportunity for pure that put that kind of intelligence on to age things. Even if they don't actually sell any flash a raise to those people, they could start to sell them software. >> All right, guys. So 15 seconds each since arose at a time. Computers competitive. Positioning your thoughts in a quick summary about what you've heard the last few days and what Justin has >> to me if I would expect continued growth, forgetting about the macro for a moment, even in gonna grow faster than the market place. Um and yeah, they said they don't throw off as much cash as the big guys. So it's gonna be a game of the big guys do in stock buybacks, free cash flow and pure storage. Investing in growth. >> Excellent. Justin. >> Yes, I agree. I think they're going to double down on the R and D spend to make sure that they maintain a technological advantage over their competitors. The biggest risk of pure is if the other players, you know, the deal emcee other plays in that big online storage market. If they actually get their act together and start bringing out competitive products, that's the biggest threat to fuel. But pure has a big lead on them. I would say, >> Yeah, I think the last thing cloud, you know, kind of a question Mark. And I think the m where to me, Del. Of course I care about storage is huge business for them. They're all above the M where and to the extent that they can leverage VM where, you know, as a competitive weapon, they'll use it against anybody you know. Damn the ecosystem. >> Excellent. Well, thanks, guys, for a great wrap up to our two days here for Justin Warren and Day Volante. I'm Lisa Martin. Thank you for watching the cubes. Coverage of pure accelerate 2019.

>> from Austin, Texas. It's Theo Cube, covering your storage. Accelerate 2019. Brought to you by pure storage. >> Hey, welcome back to the cubes. Coverage day to appear. Storage your accelerate 2019. I'm Lisa Martin Day. Volante is my co host, and we're very pleased to welcome for the first time to the Cube. Kathy Southwark. This C I O at pure Cathy. Welcome. Thank you. Glad to be here. You have a great story. This is not only your fear. Your first your accelerate. You been at the company less than a year. You were not only a pure customer before, but in a completely different industry. So your first your accelerate. Here we are in Delhi Technologies backyard. Give us your perspective on appears business from your previous customer role. >> Yes. So I spent. I've been here just under a year, she said, and I spent the almost 22 years 18 t and coming into a company. It's completely different. Different size company, different size technology issues. Everything we do is looks very different. But there's a lot of similarities that, you know, you're trying to as any company trying to innovate and trying to stay on the cutting edge and you're trying to make sure you have the right teams in place and all that, so it's a lot of fun. It's great to see the energy and the excitement here, so that's been a lot of fun to come in and to see orange everywhere painted or so it's been a lot of fun coming on >> and you're complying with your orders. >> I got the memo. I said, You know, it's hard because orange is not one of my better colors toe where but no happy toe, happy to wear orange and proud to be part of such a company who's really looking at? How do we take care of the customer? >> Right. So you were sold on pure as a customer when you were with age and T. What was it about the technology that when you were in that prayer roll that really differentiated it from its competition? It was really >> interesting. I was sharing folks earlier today that here was very different, smaller company coming into a very large organization. We started working with them back in 18 t in 2013 so they were a very small company, very early on, but they were so bullish they had this completely different attitude about storage. And it wasn't really necessarily about this storage. It's about what we're gonna do to help you change your business. So for us, you know, I really looked at when you're in a very large company, you tend to not look so much at the particular like storage or computer or what you're really looking at, How many enabling my business and with the limited dollars that you have. And resource is etcetera, you're always trying to balance and prioritize. So for us when they came in, they made this proposition and said, Hey, we can show you this in two weeks and it'll, um And you know, when you're also big enterprise, you don't have time. Thio look a technology for weeks and months on end and then have to test it. And so we brought pure end. They they were tested out the products within two weeks, and we saw more than what we're expecting. And I think that was what changed for us is it wasn't just about we could do, you know, compression. We could do the deed if we could do. It was that all of a sudden was all these other capabilities been planned for So it really was. It was pretty pretty dramatic for us because we hadn't seen other providers to come in with a story that sounded different and not just the technology. Like I'm gonna save you a dollar. It's about now I'm going to enable your business to do something different faster. And we saw it firsthand. >> I was the role of C i o at a technology company. Different from you were in a c i o N a t. But you you had kind of an engineering roll. If I think it's a solution Engineering, how is the role different in terms of how you spend your time and what you care about? >> Yeah. So, you know, in 18 t, the CEOs were focused on the application delivery sites of specific applications at pure and so an 82. My role is centered around all the infrastructure for I t. As well as our network engineering. So what we did for the Service Writer network coming into pure, you have, you know, the whole spectrum. But we're a different kind of company. and that really 10 years old. Our technical debt looks very different. We use a lot of sass products, so we use a lot of hosted solutions from our partners and providers, and we do someone premise well. But it's a very different kind of landscape, so the opportunity is you don't have as much technical debt. You also have the ability to to try things because you are smaller and you can try things much quicker and be able to say, Well, this working isn't good enough and not have to have maybe things as gold plated. As you know, a regulated telecom would have versus a product technology product company that it's trying to be very agile to produce things and change for their customers. >> So essentially you were. I'll call you the C i o of of infrastructure at AT and T with infrastructure that had to support, like you said, highly regulated in a very diverse I'm sure application portfolio. Extremely there. Thousands of systems, probably >> thousands of applications and very complex business models. They, you know, they're ah, it's not a one. So the interesting is 80. >> She's >> not a one entity business, you know they've got their media business. They've got there mobility business. We've got their wireline business. So when you have people often think of 18 t as a company, But there's actually it's a very complex business model supporting multiple products. So it's just that those air, you know, multi $1,000,000,000 product portfolios versus coming into pure where you know we're still, you know, 1,000,000,000 have company building and growing our product portfolio. >> So what's your technology strategy of pure and how are you enabling business outcomes for the company? >> That's a great, great question. So, you know, really, a business strategy here has been that I t has to really evolve and scale differently than it had in the past. The organization before was really centered around Some of the end user capabilities wasn't as centered around business outcomes, and we've taken on a different role. So as I've come on to the organization, our opportunity and our challenge is that we now have different responsibilities, were taking on things like, How do we want to think about data across the enterprise, not just within each individual domain, and so as a start up company, you often are very focused on your R and D investments in your sales and marketing investments, and you do a lot of things to get it done. And that means that individual teams will do work. But you tend to not think about what the full life cycle is of, you know, of something that you're working on. So for our opportunity now this is take a step back, be able to look across and say it worked great for that period of time. Now we have the opportunity to rethink how we want to think about the customer experience from the time product is developed all the way through and, you know, a quote to a customer through its life cycle through delivery and then the support for that customer >> so so technology, the support that sort of workflow >> the ecosystem instead of within individual areas. And so that's really there are focuses. How do we help our business to become even faster? How do we get more focused on the customer from ah whole ecosystem? And that we think about the customer from the whole ecosystem instead of each individual area? >> Sounds like that horizontal view that Charlie Giancarlo talks about you know, with storage being so vertical in the past and cures wanting to revolutionize that and make that horizontal, ensuring that any type of business, whether we're talking about yours, business or ah retailer or our airline, every function in an organization has access to share. That data exactly struck business value to lower costs to find new revenue streams, new routes to market, et cetera. >> And we're no different as a business. We need to do those same things to make sure that we can. We can deliver those for business, so that's a big part of a lot of >> times we'll talk to C. I ose that technology companies and their large established technology companies that I think Cisco S A P. They've been around a long time. They have a lot of technical debt. They look a lot like your customers, frankly, many of your customers yours ever. But my question is a lot of these c I ose that I've just mentioned, sort of generically there come wine tasters, right? You know, they used to be dog food or his drink your own champagne, but But they they are like the first line of defense verse beta customer, and they give feedback to the product groups. Do you play that role as well? >> Way do we not probably to the extent, because we're a smaller company. So we tend Thio, as with our product announcements we've made will go out to a wide set of our customers, you know? So I think we had 16 1 of the bait is that was just done. What we do with an I T. Is because we have a smaller footprint just the size we do have flash ray with a flash blade with you do use pure one. We do it Maur of ah, from how would a a smaller customer look at it, Think about it and use it. And so that's tends to be the I'll say, the lens that we look through. I think that the role I've played coming in is the bringing a perspective from a larger enterprise on how does a larger enterprise an I t. Think about it and it's again. It's not just your helping me with storage. You're actually helping me to solve a business problem. So there's s oh, there's some other and some of the leaders that we've brought in. They also come from outside industry. Some have used pure, some have not, and so have that different kind of lens of what you know we would expect to see from our product seems, but they're also extremely open. Thio. What do you think? What is I t thinking about how you were thinking about these product ideas? What what's the input from I T. So there's a lot of what we're very small from a nightie organization. I think that the two way communication is what it's gonna you know, what will help, >> what are some of the innovations? And I know you've only had a short tenure there, but one of the things I read in the Q two earnings but that we're just released last month in August was seven. That new customers added per business safer pierce of 450 or so, plus customers at it in that quarter but also a 50% increase in multimillion dollar deals. So, enterprise, any innovations that you can share since you've been on board that your team has helped cure, understood to be able to go after those large enterprise multimillion dollar deals directly. >> Well, certainly from, um, you know, from a you know, a personal understanding of the product and what here could do it scale is, you know, I certainly have that perspective to share with our customers and bringing that confidence and credibility that, you know, if you are looking at a large enterprise customer in the opportunity, they have a lot of questions about. So how exactly did 18 t do it? It's not like they run a few arrays. They run hundreds and hundreds of rays and hundreds and hundreds of petabytes. So there's It's not like it's a proof of concept or a pilot. And it's been years of doing upgrades, non disruptive Lee over the years, with all the pure upgrades that have come into play. So I can certainly bring that to the table with helping the customers to get it, you know, a little bit of confidence, but also just an understanding about how pure is approaching it with these other large customers. So and as you've talked to other customers, there's there's enough customers out there that are, you know, very, >> very eager to >> share because they're so excited about what it's done for their business. We've >> heard. Sorry, David, I was going to say on the customer front we've, what 6600 plus customers pure now has in its 1st 10 years. And the customers we've spoken to the last two days, Dave and I have noticed that a common theme is they're talking about their overall experience with the technology. They're not talking about boxes and array names, and all these specifics are talking about how they are able to one customer from, ah, legal firm, I think in Florida didn't even do a PC had appear. That was a pure customer. And from that piers advice. I got it right on board and was really talking about the experience and all of the things to your point on the business side that they're able to to influence with the technology, not talking about speeds and feeds and arrange drives and things like that. So it's very, very different conversation. >> It's S O. It's interesting because and the role that I had, I had the teams that did the architecture, planning, design and through implementation. So the operation teams one of the most unique things I've said I share with customers is when you are in a technology and you're in a large enterprise, you tend to have a challenge with introducing new technology because you don't want more technical debt. It doesn't matter what you just don't want more technical debt. So typically your operation teams are >> doing a little >> bit of pushback on you. No, no, we don't need something new. No, we don't need unless they're having significant outages or incidents that they're trying to solve for what I found. And even to this day, there is some of the folks there actually around the floor here. The folks that were in operations, they were literally coming and saying, We want more pure And so when you're in a technology organisation that typically doesn't happen. It's S o it wasn't And it wasn't like we want more of like you said the array, it was we just want we don't wanna have to worry about. And I just took a reduction of my head count. So I want I find you have to take on more data and I am. You take on more support for the business. I don't have to worry about it. And so to have that. That's a very different. And we had the same experience of their application team saying, Hey, I just got lower latents. So they didn't actually know why. They just knew that when I was trying to do my work on the application side, working within a database, all the sudden I had all this improvement and, um and so what? We allowed them to sit. Okay, well, we'll give you more capabilities, more future functionality. And that doesn't happen. Before, those were things were like, really like operations and application teams are gonna work as a team together. Very different. I'm experience. >> So if I were a pure sales rep, I would say, >> Kathy, can you come tell my customers my prospect that >> story to the sales reps have access to your calendar? How much of your time? How much time you spend, you know, sales folks wanting you to tell stories like I got >> so the I have no the company that long. So I have I have spent a fair amount of my time talking to customers. But, you know, we also have a lot of work with an I t. And so are you know it's there just is incentive to have me work with an i. T. Because I can understand what we need to do to help our field as well. And that's one of our objectives is what are we gonna do an I t. To make it that much easier and better for not just our sales teams but the manufacturing teams. The support teams are hardware, teams, all the teams that takes a deliver. And so, you know, in fairness, I have joked with some that have stopped me and said, Hey, we need to I said, Remember, we also want to deliver for you so that to make your jobs easier So there's a balance >> that it's different. A technology company writes kind of encouraged that the C I. O goes out and evangelize is >> Yeah, it's actually a lot of fun. I, uh I I do joke that when I go out to talkto the other CEOs, I mean, they're my people there, too. I know it's It's the challenges that we have to deal with. The you know, you're dealing with the technology, those very specific items, then you're dealing with that. How do we help my business and then you're dealing with. I want to make sure I'm doing the right things for people development and all those so and you have a lens across the entire enterprise. So it's not like you're just looking at sales or you're just looking at ops for your You're kind of looking at everything to say, Well, how do I help all the teams to be that much better? Because the better we are, you know, be cliche. You know, collectively, that just got is gonna enable pure toe to do more fun. >> So what's on the minds of your peers in these days? >> You know, I feel so fortunate to be in the Bay Area, and there are amazing CEOs that get together, talk very openly, share strategies, actually eagerly and openly reach out to say, How can I help you? Um, and that's I think that's a unique as part of the CIA, a community that there's this willingness to say, Look, we're all in this together from a technology perspective. I mean, look, we all want to do well for our companies, but you're also trying to figure out how to make technology team stronger and you know it's a lot of the the same issues. It's how do I change the focus of and the perception of where I t fits into a business that it's not just a back office? It's not these systems, but it's actually becoming a very strategic, you know, Enabler, advisor, participant Helping to help, you know, can provide input. You can be that one of the first you know, Betas for your company if you're in a technology area and that's a change. There's a lot of companies who have always fascinated where it's like if you're a product and you have an I T. You're selling to those people, so pitch to them. If you can't sell to them, you're not gonna be successful. So I think it's just changing, evolving. You know some of those relationships and and that's a big deal and and you know, that's from the how you run your organization. There's that, you know, how do we make sure that the technologies were were all investing in our somewhat future proof and that they can evolve with us, not become inhibitors or, you know, box you into something that you can't kind of navigate through >> well, actually deliver on future proof. It's one of those marketing terms that is used by so many organizations delivering whatever kind of product. Same is with simple and seamless says We talk about this all the time. We did hear from customers wherever Green is concerned. You know, I said, non disruptive is how much of that goes from a marketing to reality and consistently heard about Piers ability to deliver their. But it's interesting and it's a refreshing, I think, to hear that you've experienced the changing role of the CEO to be collaborative versus he knows a lot of competition. And in tech, that's a refreshing The deer And I have an idea for you since you're so you're in such a habit to D'oh, it's good. What? You're gonna like this. I have an idea. Hash tag. Help Cathy Scale. Give them this video. Just so many pure customers all across the globe. >> Thank you. I will do that. I would. That's great advice. >> That's it. Easy to d'oh! D'oh! Well, Cathy's been great having you on the Cube. Thank you for sharing your perspective as there newish. See Io and how you went from here customer to running their i t. And congratulations on being part of the next decade of pure success. Thank you. Thank you for having our pleasure for day. Volante. I'm Lisa Martin. You're watching the Cube.

>> Announcer: From Austin, Texas, it's theCUBE Covering Pure Storage Accelerate 2019. Brought to you by Pure Storage. >> Welcome back to theCUBE, Lisa Martin live on the Pure Accelerate floor in Austin, Texas. Dave Vellante is joining me and we're pleased to welcome a couple of guests from Core Scientific for the first time to theCUBE. We have Jim Benedetto, Chief Data Officer and John Curran, the SVP of Business Development. Gentlemen, welcome to theCUBE. >> Both: Thank you. >> Pleasure to be here. >> So John, we're going to start with you. Give our audience an overview of who Core Scientific is, what you guys do, what you deliver. >> Sure, well, we're a two year old start up. Headquartered out of Bellevue, Washington and we really focus on two primary businesses. We have a blockchain business and we have an AI business. In blockchain, we are one of the largest blockchain cryptocurrency hosting companies in North America. We've got facilities, four facilities in North Carolina, South Carolina, Georgia, and Kentucky. And really the business there is helping companies to be able to take advantage of blockchain and then position them for the future, you know. And then on the AI side of our business, really we operate that in two ways. One is we can also co-locate and host people, just like we do on the blockchain side. But primarily, we're focused on creating a public cloud focused on GPU centric computing and artificial intelligence and we're there to help really usher in the new age of AI. >> So you guys you founded, you said two years ago. >> Yes. >> From what I can tell you haven't raised a ton of dough. Is that true or are you guys quiet about that? >> John: We're very well capitalized. >> Okay, so it hasn't hit crunch base yet. >> Yeah, no. So we're a very well capitalized company. We've got, you know, to give you-- >> 'Cause what you do is not cheap. >> No, no, we've got about 675 megawatts of power under contract so each one of our facilities is about 50 megawatts plus in size. So no, it's not cheap. They're large installations and large build outs. >> And to even give you a comparison, a standard data center is about five to 10 megawatts. We won't even look at a facility or a plot of land unless we can supply at least 50 megawatts of power. >> So I was going to ask you kind of describe what's different between sort of blockchain hosting at conventional data bases or data centers. You kind of just did, but are there other sort of technical factors that you guys consider? >> Absolutely. We custom build our own data centers from the ground up. We've got patent pending technology, and if you look at virtually every data center in the world today, it's built with one thing at it's core and that's the CPU. The CPU is fundamentally different than the GPU and if you try to retrofit CPU based data centers for GPUs you're not going to fully maximize the performance and the capabilities of the GPU. So we build from the ground up data centers focused with the GPU at the center and not the CPU at the center. >> And is center in quotes because I mean, you have all this alternative processing, GPUs in particular that are popping up all over the place. As opposed to traditional CPU, which is, okay, just jam as much as I can on the real estate as possible, is that a factor? >> Well there's also a lot, the GPU at the center but there's also a lot of supporting infrastructure. So you got to look at first off the power density is very, very different. GPU, they require significantly a lot more power than CPUs do and then also just from a fluid dynamic prospective, it's very, the heating and cooling of them is again fundamentally different. You're not looking at standard hot, cold aisles and raised floors. But the overall goal also is to be able to provide a supporting infrastructure, which is from an AI ready design, is the interconnected networking and also the incredibly fast storage behind it. Because the name of the game with GPUs is different than with CPUs. With GPUs, the one thing you want to do is you want to get as much data into the GPU as fast as possible. Because compute will very rarely be your limiting factor with the GPU so the supporting infrastructure is significantly more important than it is when you're dealing with CPUs. >> So the standard narrative is, well, I don't know about cryptocurrency but the underlying technology of blockchain has a lot of potential. I personally think they're very much related and I wonder if you guys can comment on that. You started during the real, sort of the latest, most recent sort of big uptick, I know it's bounced back in cryptocurrency and so must you must've had a lot of activity in really, in your early days. And then maybe the crypto winter affected you, maybe it didn't. Some of those companies were so well capitalized, it was kind of their time to innovate, right? And yeah, there were some bad actors but that's really not the core of it. So I wonder what you guys have seen in the blockchain market. We'll get to AI and Pure and all that other stuff but this is a great topic, so I wonder if you could comment. >> So you know, yes, there's certainly classicality in the blockchain market, right? I think one of the key things is being well capitalized allows you to invest through the down turns to position to come out stronger as the market came out and you know, we've certainly seen that. Our growth in blockchain continues to really be substantial. And you know, we're making all the right strategic investments, right? Whether it's blockchain or AI, because you have such significant power requirements you know, you got to be very strategic about where you put the facilities. You're looking for facilities that have large sustained power capabilities, green. You know we've seen carbon taxes come in, that'll adversely affect folks. We want to make sure we're positioned for long term in terms of the capabilities. And then some geo political uncertainty is certainly affected, you know. The blockchain side of the business and it's driven more business to North America which has been fantastic for us. >> To me you're hosting innovation, you're talking blockchain and AI and like you're saying include crypto in there, you have some cryptocurrency guys, right? >> We do blockchain or cryptocurrency mining for ourselves as well. >> For yourselves, okay. But so my take on it is a whole new internet is being built and the crypto craze actually has funded a lot of that innovation. New protocol, when's the last time, the protocols of the internet, SMTP, HTDP, they're all government funded or education funded, academic institutions and the big internet companies sort of co-opted them. So you had a dirt of innovation, that's now come back. And you guys are hosting that innovation, that's kind of how I look at it. And I feel like we've seated the base and there's going to be this massive explosion of innovation, both in blockchain, crypto, AI automation and you're in the heart of it. >> Yeah I agree, I think cryptocurrencies or digital currencies are really just the first successful experiment of the blockchain and I agree with you, I think that is is as revolutionary and is going to change as many industries as the internet did and we're still very in a nascent stage of the technology but at Core, we're working to position ourselves to really be the underlying platform, almost like the alchemy of the early days of the internet. The underlying platform and the plumbing for both blockchain and AI applications. >> Right, whether it's smart contracts, like I say, new innovation, AI, it's all powering next generation of distributed apps. Really okay, so, sorry, I love this topic. >> I know you do. (laughs) >> Okay so where do these guys fit in? >> John: So do we. >> I mean, it's just so exciting. I think it's misunderstood. I mean the people who are into it are believers. I mean like myself, I really believe in a value store, I believe in smart contracts, immutability, you know, and I believe in responsibility too and that other good stuff but so. >> Innovation in private blockchain is just starting. If you look at it, I think there's going to be multiple waves in the blockchain side and we want to be there to make sure that we're helping power and position folks from both an infrastructure as well as a software perspective. >> Every financial institution, you got VMware doing stuff, Libra, I love Libra even though it's getting a lot of criticism, it just shined a light on the whole topic but bring us back to sort of commercial mainstream, what are you guys doing here, what's going on with Pure? >> So we have built, we're the first AI ready certified data center and we've actually partnered very closely with Pure and INVIDIA. As we went through the selection process of what type of storage we're going to be using to back our GPUs, we went through a variety of different evaluation criteria and Pure came out ahead and we've decided that we're going with Pure and we, again, for me it boils down to one thing as a Chief Data Officer is how much data can I get into those GPUs as fast as possible? And what you see is if you look at a existing, current Cloud providers, you'll see that their retro fitting CPU based centers for GPUs and you see a lot of problems with that where the storage that they provide is not fast enough to drive quote unquote warm or cold data into the GPUs so people end up adding more and more GPUs, it's actually just increased GPU memory when they're usually running around a couple percents, like one or two percent, five percent compute but you have to add more just for the memory because the storage is so slow. >> So you, how Jim you were saying before when we were chatting earlier, that you have had 20 years of experience looking at different storage vendors, working with them, what were some of the criteria, you talked about the speed and the performance, but in terms of, you also mentioned John that green was, is an important component of the way that you build data centers, where was Pure's vision on sustainability, ever green, where was that a factor in the decision to go with Pure? >> If you look at Pure's power density requirements and things like that, I think it's important. One thing that also, and this does apply from the sustainability perspective, where a lot of other storage vendors say that they're horizontally scalable forever but they're actually running different heads and in a variety of different ways. Pure is the only storage vendor that I've ever come across that is truly horizontally scalable. And when you start to try to build stuff like that you get into all the different things of super computing where you got, you know, split brain scenarios and fencing and it's very complex but their ability to scale horizontally with just, not even disc, but just the storage is something that was really important to us. >> I think the other thing that's certainly interesting for our customers is you're looking at important workloads that they're driving out and so the ability to do in place upgrades, business continuity, right, to make sure that we're able to deliver them technology that doesn't disrupt their business when their business needs the results, it's critically important so Pure is a great choice for us from that perspective and the innovations they're driving on that side of the business has really been helpful. >> I read a stat on the Pure website where users of Core Scientific infrastructure are seeing performance improvements of up to 800%. Are you delighting the heck out of data scientists now? >> Yeah, I mean. >> Are those the primary users? >> That is, it again references what we see with people using GPUs in the public Cloud. Again, going back to the thing that I keep hammering on, driving data into that GPU. We had one customer that had somewhere 14 or 15 GPUs running an analytics application in the public Cloud and we told them keep all your CPU compute in one of the largest Cloud providers but move just your GPU compute to us and they went from 14 or 15 GPUs down to two. GV-100 and a DGX-1 and backed by Pure Storage with Arista and from 14 GPUs to two GPUs, they saw an 800% in performance. >> Wow. >> And there's a really important additional part to that, let's say if I'm running a dashboard or running a query and a .5 second query gets an 800% increase in performance, how much do I really care? Now if I'm the guy running a 100 queries every single day, I probably do but it's not just that, it's the fact that it allows, it doesn't just speed up things, it allows you to look at data you were never able to look at before. So it's not just that they have an 800% performance increase, it's that instead of having tables with 100s of millions of rows, they now can have tables with billions of rows. So data that was previously not looked at before, data that was previously not turned into the actionable information to help drive their business, is now, they're now getting visibility into data they didn't have access to before. >> So you're a CDO that, it sounds like you have technical chops. >> Yeah, I'm a tech nerd at heart. >> It's kind rare actually for a CDO, I've interviewed a lot of CDOs and most of them are kind of come from a data quality background or a governance and compliance world, they don't dress like you (laughs) They dress like I do. (laughs) Even quite a bit better. But the reason I ask that, it sounds like you're a different type of CDO, like even a business like yours, I almost think you're a data scientist. So describe your role. >> I've actually held, I was with the company from the beginning so I've held quite a few roles actually. I think this might be my third title at this point. >> Okay. >> But in general, I'm a very technical person. I'm hands on, I love technology. I've held CTO titles in the past as well. >> Dave: Right. >> But I kind of, I've always been very interested in data and interested in storage because that's where data lives and it's a great fit for me. >> So I've always been interested in this because you know the narrative is that CDOs shouldn't be technical, they should be business and I get all that but the flip side of that is when you talk to CDOs about AI projects, which is you know, not digital transformation but specifically AI projects, they're not, most CDOs in healthcare, financial services, even government, they're not intimately involved, they're kind of like yeah, Chief Data Officer, we'll let you know when we have a data quality problem and I don't think that's right. I mean the CDO should be intimately involved. >> I agree. >> In those AI projects. >> I think a lot of times if you ask them, you ask, a lot of people, they'll say are you interested in deploying AI in your organization? And the answer is 100% yes and then the next follow up question is what would you like to do with it? And most of the time the answer is we don't know. I don't know. So what I have found is I go into organizations, I don't ask if people want to use AI, I ask what are your problems and I think what problems are you facing, what KPIs are you trying to optimize for and there are some of those problems, there are some problems on that list that might not be able to be helped by AI but usually there are problems on that list that can be helped by AI with the right data and the right place. >> So my translation of what you're asking is how can you make more money? (laughs) >> That what it comes down to. >> That's what you're asking, how can you cut costs or raise revenue, that's really ultimately what you're getting to. >> Data. >> Find new customers. I think the other interesting thing about our partnership with Pure and especially with regards to AIRE, AIRE's is an exciting technology but for a lot of companies is they're looking to get started in AI, there's almost this moment of pause, of how do I get started and then if I look at some of the greatest technology out there, it's like, okay, well now I have to retrofit my data center to get it in there, right. There's a bunch of technical barriers that slow down the progression and what we've been able to do with AIRE and the Cloud is really to be able to help people jumpstart, to get started right away. So rather than you know, let me think for six months or 12 months or 18 months on what would I analyze, start analyzing, get started and you can do it on a very cost effective outback's model as opposed to a capital intensive CAMP-X model. >> Alright, so I got to ask you. >> Yeah. >> And Pure will be pissed off I'm asking this question because you're talking about AIRE as a, it's real and I want some color on that but I felt like when the first announcement came out with Invida, it was rushed so that Pure could have another first. (laughs) Ink was drying, like we beat the competition but the way you're talking is AIRE is real, you're using it, it's a tangible solution. It's a value to your business. >> It's a core solution in our facility. >> Dave: It's a year ago. >> It's a core thing that we go to market with and it's something that you know, we're seeing customer demand to go out and really start to drive some business value. So you know, absolutely. >> A core component of helping them jumpstart that AI. Well you guys just, I think an hour or so ago, announced your new partnership level with Pure. John, take us away as we wrap here with the news please. >> Yeah, so well we're really excited. We're one of a handful of elite level MSP partners for Pure. I think there's only a few of us in the world so that's something and we're really the one who is focused on bringing ARIE to the Cloud and so it's a unique partnership. It's a deep partnership and it allows us to really coordinate our technical teams, our sales teams, you know, and be able to bring this technology across the industry and so we're excited, it's just the start but it's a great start and we're looking forward to nothing but upside from here. >> Fantastic, you'll have to come back guys and talk to us about a customer's who's done a jumpstart with ARIE and just taking the world by storm. So we thank you both for stopping by theCUBE. >> Absolutely, we'll love to do that. >> Lisa: Alright John, Jim, thank you so much for your time. >> Thank you. >> Absolutely. >> John: Really appreciate it. >> For Dave Vellante, I'm Lisa Martin, you're watching theCUBE from Pure Accelerate 2019. (upbeat techno music)

>> from Austin, Texas. It's Theo Cube, covering pure storage. Accelerate 2019. Brought to you by pure storage. >> Welcome back to the Cube. Lisa Martin Day Volante is my co host were a pure accelerate 2019 in Austin, Texas. A couple of guests joining us. Next. Please welcome Barack elected director product management for slunk. Welcome back to the Cube. Thank you. And guess who's back. Von Stewart. V. P. A. Technology from pure Avon. Welcome back. >> Hey, thanks for having us guys really excited about this topic. >> We are too. All right, so But we'll start with you. Since you're so excited in your nice orange pocket square is peeking out of your jacket there. Talk about the Splunk, your relationship. Long relationship, new offerings, joint value. What's going on? >> Great set up. So Splunk impure have had a long relationship around accelerating customers analytics The speed at which they can get their questions answered the rate at which they could ingest data right to build just more sources. Look at more data, get faster time to take action. However, I shouldn't be leading this conversation because Split Split has released a new architecture, a significant evolution if you will from the traditional Splunk architectural was built off of Daz and a shared nothing architecture. Leveraging replicas, right? Very similar what you'd have with, like, say, in H D. F s Work it load or H c. I. For those who aren't in the analytic space, they've released the new architecture that's disaggregated based off of cashing and an object store construct called Smart Store, which Broth is the product manager for? >> All right, tell us about that. >> So we release a smart for the future as part of spunk Enterprise. $7 to about a near back back in September Timeframe. Really Genesis or Strong Smart Strong goes back to the key customer problem that we were looking to solve. So one of our customers, they're already ingesting a large volume of data, but the need to retain the data for twice, then one of Peter and in today's architecture, what it required was them to kind of lean nearly scale on the amount of hardware. What we realized it. Sooner or later, all customers are going to run into this issue. But if they want in just more data or reading the data for longer periods, of time, they're going to run into this cost ceiling sooner or later on. The challenge is that into this architecture, today's distributes killer dark picture that we have today, which of all, about 10 years back, with the evolution of the Duke in this particular architecture, the computer and story Jacqui located. And because computer storage acqua located, it allows us to process large volumes of data. But if you look at the demand today, we can see that the demand for storage or placing the demand for computer So these are, too to directly opposite trans that we're seeing in the market space. If you need to basically provide performance at scale, there needs to be a better model. They need a better solution than what we had right now. So that's the reason we basically brought Smart store on denounced availability last September. What's Marceau brings to the table is that a D couples computer and storage, So now you can scale storage independent of computers, so if you need more storage or if you need to read in for longer periods of time, you can just kill independent on the storage and with level age, remote object stores like Bill Flash bid to provide that data depository. But most of your active data said still decides locally on the indexers. So what we did was basically broke the paradigm off computer storage location, and we had a small twist. He said that now the computer stories can be the couple, but you bring comfort and stories closer together only on demand. So that means that when you were running a radio, you know, we're running a search, and whenever the data is being looked for that only when we bring the data together. The other key thing that we do is we have an active data set way ensure that the smart store has ah, very powerful cash manager that allows that ensures that the active data set is always very similar to the time when your laptop, the night when your laptop has active data sets always in the cash always on memory. So very similar to that smarts for cash allows you to have active data set always locally on the index. Start your search performance is not impact. >> Yes, this problem of scaling compute and storage independently. You mentioned H. D. F s you saw it early on there. The hyper converged guys have been trying to solve this problem. Um, some of the database guys like snowflakes have solved it in the cloud. But if I understand correctly, you're doing this on Prem. >> So we're doing this board an on Prem as well as in Cloud. So this smart so feature is already available on tramp were also already using a host all off our spun cloud deployments as well. It's available for customers who want obviously deploy spunk on AWS as well. >> Okay, where do you guys fit in? So we >> fit in with customers anywhere from on the hate say this way. But on the small side, at the hundreds of terabytes up into the tens and hundreds of petabytes side. And that's really just kind of shows the pervasiveness of Splunk both through mid market, all the way up through the through the enterprise, every industry and every vertical. So where we come in relative to smart store is we were a coat co developer, a launch partner. And because our object offering Flash Blade is a high performance object store, we are a little bit different than the rest of the Splunk s story partner ecosystem who have invested in slow more of an archive mode of s tree right, we have always been designed and kind of betting on the future would be based on high performance, large scale object. And so we believe smart store is is a ah, perfect example, if you will, of a modern analytics platform. When you look at the architecture with smart store as brush here with you, you want to suffice a majority of your queries out of cash because the performance difference between reading out a cash that let's say, that's NAND based or envy. Emmy based or obtain, if you will. When you fall, you have to go read a data data out of the Objects store, right. You could have a significant performance. Trade off wean mix significantly minimized that performance drop because you're going to a very high bandwith flash blade. We've done comparison test with other other smart store search results have been published in other vendors, white papers and we show Flash blade. When we run the same benchmark is 80 times faster and so what you can now have without architecture is confidence that should you find yourself in a compliance or regulatory issue, something like Maybe GDP are where you've got 72 hours to notify everyone who's been impacted by a breach. Maybe you've got a cybersecurity case where the average time to find that you've been penetrated occurs 206 days after the event. And now you gotta go dig through your old data illegal discovery, you know, questions around, you know, customer purchases, purchases or credit card payments. Any time where you've got to go back in the history, we're gonna deliver those results and order of magnitude faster than any other object store in the market today. That translates from ours. Today's days, two weeks, and we think that falls into our advantage. Almost two >> orders of magnitude. >> Can this be Flash Player >> at 80%? Sorry, Katie. Time 80 x. Yes, that's what I heard. >> Do you display? Consider what flashlight is doing here. An accelerant of spunk, workloads and customer environment. >> Definitely, because the forward with the smart, strong cash way allow high performance at scale for data that's recites locally in the cash. But now, by using a high performance object store like your flash played. Customers can expect the same high performing board when data is in the cash as well as invented sin. Remorseful >> sparks it. Interesting animal. Um, yeah, you have a point before we >> subjects. Well, I don't want to cut you off. It's OK. So I would say commenting on the performance is just part of the equation when you look at that, UM, common operational activities that a splitting, not a storage team. But a Splunk team has to incur right patch management, whether it's at the Splunk software, maybe the operating system, like linen store windows, that spunk is running on, or any of the other components on side on that platform. Patch Management data Re balancing cause it's unequal. Equally distributed, um, hardware refreshes expansion of the cluster. Maybe you need more computer storage. Those operations in terms of time, whether on smart store versus the classic model, are anywhere from 100 to 1000 times faster with smart store so you could have a deployment that, for example, it takes you two weeks to upgrade all the notes, and it gets done in four hours when it's on Smart store. That is material in terms of your operational costs. >> So I was gonna say, Splunk, we've been watching Splunk for a long time. There's our 10th year of doing the Cube, not our 10th anniversary of our 10th year. I think it will be our ninth year of doing dot com. And so we've seen Splunk emerged very cool company like like pure hip hip vibe to it. And back in the day, we talked about big data. Splunk never used that term, really not widely in its marketing. But then when we started to talk about who's gonna own the big data, that space was a cloud era was gonna be mad. We came back. We said, It's gonna be spunk and that's what's happened. Spunk has become a workload, a variety of workloads that has now permeated the organization, started with log files and security kind of kind of cumbersome. But now it's like everywhere. So I wonder if you could talk to the sort of explosion of Splunk in the workloads and what kind of opportunity this provides for you guys. >> So a very good question here, Right? So what we have seen is that spunk has become the de facto platform for all of one structure data as customers start to realize the value of putting their trying to Splunk on the watch. Your spunk is that this is like a huge differentiate of us. Monk is the read only skim on reed which allows you to basically put all of the data without any structure and ask questions on the flight that allows you to kind of do investigations in real time, be more reactive. What's being proactive? We be more proactive. Was being reactive scaleable platform the skills of large data volumes, highly available platform. All of that are the reason why you're seeing an increase that option. We see the same thing with all other customers as well. They start off with one data source with one use case and then very soon they realize the power of Splunk and they start to add additional use cases in just more and more data sources. >> But this no >> scheme on writer you call scheme on Reed has been so problematic for so many big data practitioners because it just became the state of swamp. >> That didn't >> happen with Splunk. Was that because you had very defined use cases obviously security being one or was it with their architectural considerations as well? >> They just architecture, consideration for security and 90 with the initial use cases, with the fact that the scheme on Reid basically gives open subject possibilities for you. Because there's no structure to the data, you can ask questions on the fly on. You can use that to investigate, to troubleshoot and allies and take remedial actions on what's happening. And now, with our new acquisitions, we have added additional capabilities where we can talk, orchestrate the whole Anto and flow with Phantom, right? So a lot of these acquisitions also helping unable the market. >> So we've been talking about TAM expansion all week. We definitely hit it with Charlie pretty hard. I have. You know, I think it's a really important topic. One of things we haven't hit on is tam expansion through partnerships and that flywheel effect. So how do you see the partners ship with Splunk Just in terms of supporting that tam expansion the next 10 years? >> So, uh, analytics, particularly log and Alex have really taken off for us in the last year. As we put more focus on it, we want to double down on our investments as we go through the end of this year and in the next year with with a focus on Splunk um, a zealous other alliances. We think we are in a unique position because the rollout of smart store right customers are always on a different scale in terms of when they want to adopt a new architecture right. It is a significant decision that they have to make. And so we believe between the combination of flash array for the hot tear and flash played for the cold is a nice way for customers with classic Splunk architecture to modernize their platform. Leverage the benefits of data reduction to drive down some of the cost leverage. The benefits of Flash to increase the rate at which they can ask questions and get answers is a nice stepping stone. And when customers are ready because Flash Blade is one of the few storage platforms in the market at this scale out band with optimized for both NFS and object, they can go through a rolling nondestructive upgrade to smart store, have you no investment protection, and if they can't repurpose that flash rate, they can use peers of service to have the flesh raise the hot today and drop it back off just when they're done within tomorrow. >> And what about C for, you know, big workloads, like like big data workloads. I mean, is that a good fit here? You really need to be more performance oriented. >> So flash Blade is is high bandwith optimization, which really is designed for workload. Like Splunk. Where when you have to do a sparse search, right, we'll find that needle in the haystack question, right? Were you breached? Where were you? Briefed. How were you breached? Go read as much data as possible. You've gotta in just all that data, back to the service as fast as you can. And with beast Cloud blocked, Teresi is really optimized it a tear to form of NAND for that secondary. Maybe transactional data base or virtual machines. >> All right, I want more, and then I'm gonna shut up sick. The signal FX acquisition was very interesting to me for a lot of reasons. One was the cloud. The SAS portion of Splunk was late to that game, but now you're sort of making that transition. You saw Tableau you saw Adobe like rip the band Aid Off and it was somewhat painful. But spunk is it. So I wonder. Any advice that you spend Splunk would have toe von as pure as they make that transition to that sass model. >> So I think definitely, I think it's going to be a challenging one, but I think it's a much needed one in there in the environment that we are in. The key thing is to always because two more focus and I'm sure that you're already our customer focus. But the key is key thing is to make sure that any service is up all the time on make sure that you can provide that up time, which is going to be crucial for beating your customers. Elise. >> That's good. That's good guidance. >> You >> just wanted to cover that for you favor of keeping you date. >> So you gave us some of those really impressive stats In terms of performance. >> They're almost too good to be true. >> Well, what's customer feedback? Let's talk about the real world when you're talking to customers about those numbers. What's the reaction? >> So I don't wanna speak for Broth, so I will say in our engagements within their customer base, while we here, particularly from customers of scale. So the larger the environment, the more aggressive they are to say they will adopt smart store right and on a more aggressive scale than the smaller environments. And it's because the benefits of operating and maintaining the indexer cluster are are so great that they'll actually turn to the stores team and say, This is the new architecture I want. This is a new storage platform and again. So when we're talking about patch management, cluster expansion Harbor Refresh. I mean, you're talking for a large sum. Large installs weeks, not two or 3 10 weeks, 12 weeks on end so it can be. You can reduce that down to a couple of days. It changes your your operational paradigm, your staffing. And so it has got high impact. >> So one of the message that we're hearing from customers is that it's far so they get a significant reduction in the infrastructure spent it almost dropped by 2/3. That's really significant file off our large customers for spending a ton of money on infrastructure, so just dropping that by 2/3 is a significant driver to kind of move too smart. Store this in addition to all the other benefits that get smart store with operational simplicity and the ability that it provides. You >> also have customers because of smart store. They can now actually bursts on demand. And so >> you can think of this and kind of two paradigms, right. Instead of >> having to try to avoid some of the operational pain, right, pre purchase and pre provisional large infrastructure and hope you fill it up. They could do it more of a right sides and kind of grow in increments on demand, whether it's storage or compute. That's something that's net new with smart store um, they can also, if they have ah, significant event occur. They can fire up additional indexer notes and search clusters that can either be bare metal v ems or containers. Right Try to, you know, push the flash, too. It's Max. Once they found the answers that they need gotten through. Whatever the urgent issues, they just deep provisionals assets on demand and return back down to a steady state. So it's very flexible, you know, kind of cloud native, agile platform >> on several guys. I wish we had more time. But thank you so much fun. And Deron, for joining David me on the Cube today and sharing all of the innovation that continues to come from this partnership. >> Great to see you appreciate it >> for Dave Volante. I'm Lisa Martin, and you're watching the Cube?

>> Announcer: From Austin, Texas, it's theCUBE, covering Pure Storage Accelerate 2019, brought to you by Pure Storage. (air whooshes) >> Welcome to theCUBE's day two coverage of Pure Accelerate 2019 from Austin, Texas. I am Lisa Martin, Dave Vellante is my co-host, and we're pleased to welcome back to theCUBE, here is VP of Strategy Matt Kixmoeller. Kix, welcome back! >> Thank you very much, happy to be here. >> This has been a, being shot out of a cannon. Yesterday and today, lots of news. First of all, happy 10th anniversary to you and Pure. >> Thank you very much, yeah. >> Tremendous amount of innovation, as Tara Lee said yesterday, overnight in 10 years. (laughs) >> It's a really fun time at Pure. Just something about the nostalgia of 10 years gets people, naturally, to start thinking about what the next 10 years are about. And so, there's just a lot of that spirit right now at the company, so it's almost like people are really charging into the second chapter with a lot of energy, so that's cool. >> A lot of energy, I think, all fueled by this massive sea of orange that has descended on Austin. >> Absolutely. >> So, four announcements yesterday. Let's start with Cloud Block Store, what you guys are doing with AWS, and kind of this vision of Pure's cloud strategy. >> Yeah, look, the cloud discussions I've had with customers here at the show have been awesome. And I think more than anything, people have realized that we've really built something very unique with Cloud Block Store, something that doesn't exist anywhere else in the industry right now. And, you know, if you look at kind of other storage vendors over the time, people have certainly taken their storage OSes and put them in the cloud kind of as a test-dev experiment, a way to try things out, but never really thinking, "I want to build something "that runs tier-one applications." And that was our goal from day one. We looked at the Amazon platform and said, they really built EBS, their block offering, as kind of a way to beat boot VMs, but it was really never meant for a way to run mission-critical applications. So they've been very open in partnering with us to say, look, let's bring this capability onto the platform. And we really rearchitected our Purity Operating Environment, and so, the whole lower half of that is really optimized for the AWS services to help customers move tier-one apps to the cloud. >> Was that joint engineering, or was it really mostly Pure doing that work? >> You know, it was Pure engineering in the sense that we wrote the code, but there was a lot of co-architecture work with AWS so we could fundamentally understand the basics of all of their services and how to optimize for it. And one of the big realizations and choices that came out of that was not to base the storage layer of this on EBS, but instead to base it on S3. And if you look at your average cloud customer, they really use S3 as the storage basis for the apps they build on Amazon, and so, S3 is the 11-nines durable storage platform there. And so our whole goal here was, how do you use S3, but still deliver the level of performance you'd expect out of a tier-one block environment? >> Well, when you read the sort of cloud storage press release du jour, you can't really get into the nuance, but if I understand it correctly, you guys essentially have architected, using AWS services, a new class of block storage that runs on AWS, but looks like Pure. >> That's exactly it. >> So you're essentially front-ending cheap S3 storage with high-priority EC2s, you've got some mirroring for rights to give it high availability, and again, it looks like Pure. >> Kix: Yep. >> So you win, 'cause you're making money on the software, (laughs) AWS is selling services, and the customer has a Pure experience. Did we get that right? >> Yeah, and I think the combination, the one-two punch, that's been very interesting for customers is not only what we're doing with Cloud Block Store, but the new Pure as-a-Service offering. And so, Pure as-a-Service is our as-a-service consumption mechanism that allows you to essentially subscribe to or rent Pure arrays from Pure in your data center, but it's a license that can go between on-prem and cloud. And so, imagine you're a customer that is mostly on-prem today, but you have that mandate, "I've got to get to the cloud." You might need more storage, but the last thing you want to do is commit to another three- or five-year purchase of a storage array that just puts off that cloud journey that much longer. So a customer can subscribe to Pure as-a-Service, they'll maybe subscribe to 100 terabytes, and we put an array in their data center right now, but a year from now, they decide they're going to move 50 terabytes to Cloud Block Store in Amazon, that's just a transparent movement, they're already licensed for it. And so that-- >> And there's already, oh, sorry, sorry. >> Kix: No, go ahead. >> There's already customers that are in beta with Cloud Block Store, is that correct? >> Correct, yeah. >> Lisa: Any interesting insights that you can share without giving away secret sauce? >> Oh, absolutely. You know, I think the thing that pleased us the most about the beta was really the divergence of use cases. You know, we created this, but there's always, you create something, and you don't know what people are going to do with it, right? And so, we have this goal of going after tier-one apps. Obviously, there's a lot of people that are just focused on migration, "How do I get the tier-one app from on-prem to cloud?" And so that was what I would say would be the dominant use case. But there were a lot of interested in test-dev type use cases. And really interesting, I think we saw it in both directions. So we saw some customers who wanted to develop their app in the cloud, but then deploy on-prem. We saw the opposite, we saw people that wanted to develop on-prem but then deploy in the scalable infrastructure in the cloud. And so I thought that was quite interesting. >> How much of the impetus to do that offering was hardcore customer demand, "We need this," versus, "Hey, we need to embrace the cloud "and make it a tailwind and not be defensive about it"? >> You know, I think when we looked at what was going to be the buy-in criteria for the storage array of tomorrow, fundamentally, this is it, right? People want on-prem infrastructure that's connected to the cloud and provides them a roadmap or a bridge to the cloud. And I think we've seen a big change in mindset over even the last couple years. I'd say two or three years ago, the mindset from customers was, "I'm all in on cloud." I think we've seen that soften, where they've realized that the cloud is not a panacea, it's usually actually not cheaper or faster, but it is more agile, it is more flexible, and so, a combination of on-prem and cloud is the right answer. And so, what does that mean from a storage platform? Storage is the hard part. And so, I then need a storage architecture that can support both on-prem and cloud and drive commonality, as opposed to having it be totally different architecture. >> Was Outposts at all a catalyst in your thinking on this, or was this happening way before you even saw that? >> No, we started this effort before that, but I think Outposts is a good example, I believe, of how Amazon is just getting serious about saying, look, we can't ask everybody to rearchitect every application for web scale. There are certain apps that it won't make sense to rearchitect. How do we bring those to the cloud in an efficient way? And those are really the types of applications and the first-generation Cloud Block Store is perfect for. You connect your existing on-prem app, move it to the cloud without changing it, and then maybe slowly you rearchitect parts of the application, you evolve it over time, but that's not a gate to going to the cloud anymore. >> I like the way you said it, you thought about what storage is going to look like in the next 10 years. And we've said this a lot, it's the cloud experience, bringing that cloud experience to your data is what storage is going to look like, you know, wherever it lives, is going to look like in the next 10 years. >> Absolutely, and I think the other real mindset shift I think we've seen is how people are thinking about truly running their on-prem environment more like a service. You know, if you look at, the key message that we had at the show here was really the Modern Data Experience, and defining for customers what that meant. And in a lot of ways, I've been in the storage industry for a little while, I think back, 20 years ago, the buzzword was utility storage. I think one of our competitors had that as their slogan sometime in the '90s. >> Yeah, right. >> And the reality, though, is when you talk to most storage teams, they just never did that. They still ran a bunch of arrays on a project-by-project basis, and it didn't look at all like the cloud. And so, now people have learned the lessons from the public cloud and said, "We really need to apply those on-prem "to truly bring our infrastructure together "into much more of a virtual pool, "truly deliver it on demand, abstract consumption "from the back-end infrastructure to give flexibility." And so, that's really what we're trying to deliver with the Modern Storage Experience, is to say, look, let's get out of the world of array-by-array management. If a customer buys 50 or 100 of our arrays, how do they take that pool of arrays and turn it into a block service, turn it into a file service, turn it into an object service for their customers, with real abstractions and real APIs for those services that have nothing to do with the back-end infrastructure? >> Dave: Mm-hm. >> When Charlie talked yesterday, Kix, about the Modern Data Experience, the three S's pop up. >> Kix: Yeah. (clears throat) >> Simple, seamless, sustainable. But as IT is getting more and more complex, and customers are in a multi-cloud environment, not necessarily from a strategic perspective, right, acquisition, et cetera, how does Pure actually take that word, simple, from a marketing concept into reality for your customers? >> Yeah, you know, I think simple is the most underappreciated but biggest differentiator (coughs) that Pure has. I was recalling for someone, you talked to Coz earlier today. I had a conversation about three weeks into the existence of Pure, (coughs) excuse me, with Coz, and we were just debating, I mean, this is before we wrote any code at all, about, what would be Pure's long-term differentiator? And I was kind of like, "Ah, we'll be the flash people, or high-performance, or whatever," and he's like, "No, no, no, we're going to be simple. "We are going to deliver a culture that drives "simplicity into our products, "and that'll be game-changing." And I thought he was a little crazy at the time, but he's absolutely turned out to be right. And if you look over the years, that started with just an appliance experience, a 10-card install, just a really easy environment. But that's manifested itself into every product we create. And it's really hard to reverse-engineer that. It's an engineering discipline thing that you have to build into the DNA of the company. >> Yeah, he kind of shared that with us, Lisa. He was basically, my words, saying, you don't ever want to suboptimize simple to get a little knob turn on performance, because you'll be turning knobs your entire career. There's a lot of storage arrays out there that, it's all about turning the knobs. >> Kix: Yeah, well-- >> If you can't fix it, you feature it. >> Oh, and if you think about really trying to automate something, it's really hard to automate complex stuff. If something's simple, if it's consistent, it plugs into an automation framework. >> You talked about "get your 10X"-- >> Kix: Yeah. >> I think, is that what you said? And an entrepreneur who was very successful once told me, "I look for two things, a large market and a 10X impact." >> Yep. >> So, what is your 10X? >> You know, we have two 10Xs at the show this year. So first was really kind of a 10-year jump in performance. When we first entered, people were used to 10-millisecond latency from disk, and we introduced them to one-millisecond latency. Now, with the shipping in direct memory and bringing SCM into the architecture, we can do 100 microseconds. That's another 10X. And so, it's hard to ignore that. >> Lisa: That's game-changing, as you said yesterday. >> (coughs) Exactly. The other is really around our next product, FlashArray C, which brings flash to tier-two data. And there, it's all about consolidation. Most people have not used flash to fix tier one, but their biggest problem now is tier two. They have less-important applications, but because they haven't optimized that, it's taking up way too much of IT time. And so, FlashArray C is, "How do I go "and basically consolidate 10X consolidation "at that tier-two level to really bring "sanity to tier-two storage?" >> And you've got NAM pricing, we talked to Charlie about this, that it ultimately should be a tailwind for you guys as NAM pricing comes down, as NOR fab capacity's coming online in China to go after the thumb drives, right, so that's going to leave the enterprise for all the traditional flash guys that we know and love. So that should open up new markets for you. Today, if you look at pricing for flash C class storage, if I got it right, I'm guessing $1, $1.50 a gigabyte. You see hybrid still at probably half that, 65, 70 cents. Do you see that compressing over the next, let's call it 18, 24 months? >> Absolutely, I mean, what we can do with this product is really bring out flash at disk prices. And so, if you think about the difference, I mean, what we now have in the product line is two platforms, FlashArray X, optimized for performance, at hundreds of microseconds of latency, but C, at a little bit slower performance, still in the millisecond range, can really get down now to those disk prices you just mentioned. And so, it fundamentally gives customers the chance to ask, "Can I really now eliminate disk from the data center?" You know, as I said in my keynote, that the slogan from Pure from day one has been "the all-flash data center." And 10 years ago, people didn't believe it. We were maybe leaning over our skis a little bit in doing that. It now really feels possible to go and have the all-flash data center. >> Well, I'll tell you, we believed it. David Floyer picked up on it early on, and he was-- >> Kix: Yeah. >> He was actually probably too aggressive with (laughs) his forecast. We missed the NAND supply constraints. >> Kix: Yeah. >> But now that seems to be loosening up. >> Well, and, look, one of the things that really helps us build the perfect product around QLC is the work we've done to integrate with raw flash. We cannot just use QLC, but we can use it really efficiently, and the challenge there is to make it reliable. It's inherently a less-reliable flash. And so, that's what we're good at, taking things that are less reliable and making them enterprise-grade. >> And your custom flash modules allow that? >> Yeah. >> Can you add some color to that? >> Basically, what we do is we source raw NANDs, put it in our system, but then do all the work in software to manage the flash. And so, when you have a less-reliable flash medium like QLC, generally, what you have to do is add more flash to overprovision and be careful writing to it. And so, when do it globally, we don't do it inside every SSD, we can do it across the whole system, which makes the whole thing more efficient, thus allowing us to drive costs down even more. >> Hm. >> One of the things that we have heard over the last day and a half from customers, even those that were onstage yesterday, those that were on theCUBE yesterday and those that will come on today, is, they talk about the customer experience. They don't talk about FlashBlade, FlashArray, they're not talking about product names. They're talking about maybe workloads that they're running on there. But the interesting thing is, when we go to some other shows, you hear a lot of names of boxes. >> Kix: Yep. >> We haven't heard that. Talk to me a little bit about how Pure has evolved and really maybe even created this customer experience that's focused on simplicity, on outcomes, that is, in your perspective, why people aren't talking about the specific technologies-- >> Kix: Yeah. >> But rather, this single pane of glass that they have. >> Look, when we started the company, I obviously talked to a lot of customers, and I found, in general, there was frustration with products, but they also just generally didn't like their storage company. And so, from day one, we said, how do we reinvent the experience? Of course, we have to build a better product, and we can use flash as kind of an excuse to do that, but we also want to work on the business model of storage, and we also want to work on the customer experience, the support experience, the just 360 view of how you deal with a vendor. And so, from day one, we've been very disciplined about all of that. Going all-flash was a key part of the product. Evergreen has probably been our quintessential investment in just, how do you change that buying cycle? And so, you can buy into an experience and nondisrupt the way they evolve, versus replace your storage array every three to five years. And then, I think the overall customer experience just comes from the culture of the company, right? Everybody at Pure is centered on making customers happy, doing the right thing, being a vendor that you actually want to work with. And that's not something you can really legislate, that's not something you can put rules around, it's just the culture at Pure. >> When we talked about Evergreen yesterday with a number of customers, including Formula 1. I said, "You know, as a marketer, "how much of that nondisruptive operations, "take me from marketing to reality," and all of them articulated the exact value prop that you guys talk about. It was really remarkable. And another customer that we talked to, I think from a legal firm here in the U.S., didn't even do a POC, talked to a peer of his at another company that was a Pure fan-- >> Kix: Yep. >> And (snaps fingers) bought it right on the spot. So the validation that you're getting from the voice of the customer is pretty remarkable. >> Yeah, this is our number one asset, right? And I mean, so when we think about, how do we spread the religion of Pure, it's just all about giving voice to our customers, so they can share their stories. 'Cause that's so much more credible than anything we say, obviously, as a vendor. >> You're one of only two billion-dollar independent storage companies, which, we love independent storage companies, 'cause, you know, the competition's great. How far out do you look and do you think about being an independent storage company? You've seen, as a "somewhat" historian of the industry, you've seen TAM expansion, you guys are working hard on TAM expansion now, new workloads. You got backup stuff goin' on. You got the cloud as an opportunity, multi-cloud as an opportunity. So you got some runway there. >> Yeah. >> Beyond that, you've seen companies try to vertically integrate, buy backup software companies, you know, a converged infrastructure, whatever it is. How far out do you think about it from a business model standpoint? Or do you not worry about that? >> You know, look, to put it in context a little bit, you look at the latest IDC numbers, we're maybe one-third in to the transition to flash, right? The world still buys two-thirds disk, one-third flash. That's a huge opportunity. We're now five or six globally in storage. That's a few spots that we have to go, right? And so, we're not at all market-share limited, or opportunity limited, even within the storage industry, so we could make a much, much larger company. And so, that's mission number one at Pure. But when we think beyond that, that's just a launching point. And so, you've seen us do some stuff here at the show where we're getting into different types of storage. The first obvious expansion is, let's make sure anything that is a storage product comes from Pure, and there's obvious categories we don't play in today. You saw us introduce a new product around VM Analytics Pro, where we're reaching up the stack and adding real value at the VM tier, taking our Meta AI technology and using to give VM-level optimization recommendations. And so, yeah, I think we increasingly understand that IT's a full-stack game, and so storage is maybe the hardest part of the stack, and that gives us a great base to work from, but we don't constrain our engineers to say, you can only solve storage problems. >> Geography's another upside for you. I mean, most of your business, the vast majority of your business, is in the U.S., whereas you take a company like some of these other ones around here, more than half their business is outside the U.S, so. >> Yeah, no, our international businesses, we've been international five or six years now, and it felt like the first couple years are investment years, and it took time. But we're really starting to see them grow and take hold, and so, it's great to see the international business grow. And I think Pure as a company is also learning to really think internationally, not just because we want the opportunity, but the largest customers in the world that we now deal with have international operations, and they want to deal with one Pure globally. >> So when you're talking, and maybe this has even happened the last day and a half, with a prospective customer who is still investing a lot on-prem, still not yet gone the route of flash, as you were saying, those numbers speak for themselves. What do you say to them? >> If they're not on flash yet? >> Lisa: Yeah, yeah, to show them the benefits. I mean, what's that conversation like? >> It's rare, to be honest, now to find customers who haven't started with flash. But I think the biggest thing I try to encourage folks is that flash is not just about performance. And when I look at the history of people who have embraced Pure, they usually start with some performance need, but very quickly, they realize it's all about simplicity, it's all about efficiency. And if they can make storage fundamentally simpler and more efficient, they free up dollars to put towards innovation. And we unlock the ability to drive dollars towards innovation, and then we drive storage to the new innovation projects, like analytics, like AI, et cetera. And so, we just try to talk about that broader opportunity. And I think that's the hardest thing for people to grasp, because the IT history has always been lots of ROI pitches that say, "Hey, this thing costs a lot, but trust me, "you'll make it up in all these other benefits," that no one believes. And so, you just have to get them to taste it to begin with, and when they see it for themselves, that's when it clicks and they start to really understand the ROI around that. >> Well, congratulations on 10 years of Pure unlocking innovation, not just internally, but externally across the globe. We appreciate your time, Kix. >> Thank you, we're looking forward to the next 10 years. >> All right, to the next 10! For Dave Vellante, I'm Lisa Martin. You're watching theCUBE from Pure Accelerate 2019. (upbeat music)

>> from Austin, Texas. It's Theo Cube, covering your storage. Accelerate 2019. Brought to you by pure storage. >> Hi, Lisa Martin with the Cube. Dave Ilan Taste. My co host were at pure Accelerate 2019 in Austin, Texas. One of our Cube alumni is back with us. We have probably the VP and chief architect at Pier Storage. Rob. Welcome back. >> Thanks for having. >> We're glad you have a voice. We know how challenging these events are with about 3000 partners, customers press everybody wanting to talk to one of the men that was on the keynote stage yesterday for announcements came out really enjoyed yesterday's keynote. But let's talk about one of those announcements in particular Piers Bridge to the hybrid cloud. >> Absolutely, absolutely. Yeah. No, I mean, I think it's been a really exciting conference for us so far. Like you said, a lot of payload coming out, you know, as faras the building, the bridge of the hybrid cloud. This has been, you know, this has been I would say a long time coming, right? We've been working down this path for for a couple of years. We started by bringing some of the cloud like capabilities that customers really wanted and were able to achieve into the cloud back into the data center. Right. So you saw us do this in terms of making our own prem products easier to manage, easier to use, easier to automate, you know. But what? Working with customers of the last couple of years, you know, we realized, is that, uh as the cloud hype kind of subsided and people were taking a more measured view of where the cloud fits into their strategies, what tools it brings. You know, we realized that we could add value in the public cloud environment, the same types of enterprise capabilities, the same type of features rich data service is feature sets things like that that we do on premise in the cloud. And so what we're looking to achieve is actually quite simple, all right. We want to give customers the choice whether whether customers want to run on premise or in the cloud. That's just a choice of we wanted. We wanted to make an environmental choice. We don't want it. We don't wanna put customers in a position where they have to make that choice and feel trapped in one location another because of lack of features, lack of capabilities. You know, our economics on DSO the way that we do that is by building the same types of capabilities that we do on Prem in the cloud giving customers the freedom and flexibility to be agile. >> But, you know, you mentioned economics and you were talking from a customer standpoint. I wanna flip it from a from a technology supplier standpoint, the economics of a vendor who traditionally cells on Prem. You would think would be better than one in the cloud. Because you gotta you pay an Amazon for all their service is or I guess, the customers paying for it. But you kind of saw your way through that. A lot of companies would be defensive on. I wonder if you could add any comment. Yeah. No, I mean so So, look, I think >> the >> hardware is only one piece of it, right? At the end of the day, you know, even our products on Prem are really they're really priced for value. Right? There were delivering value to customers in our capabilities are ease of use or simplicity. The types of applications and work close to being able. Um, and basically, everything I just said is pretty much driven by software features by bringing those same capabilities into the cloud, you know, naturally, we you know, naturally that most of that work is really in software, you know, And then, as faras comparing the economics directly of on Prem versus Cloud. You know, it's it's really no secret as the industry's gotten Maur. Understanding that, you know the cloud isn't isn't the low cost option in a lot of use cases, right? And so, rather than comparing apples to apples on premises cloud either on performance or economics, our goal is really to build the best products in either environment. So if a customer wants to run on Prem wanna build the best darn products in that environment, the customer wants to run in the public cloud. We want to build the best darn product for them in that environment on dhe. Increasingly, as customers want Thio use, both environments hand in hand, want to build the right capabilities to allow them. TOC mostly do that >> Well, I think it makes sense because, as you know, we're talking to some customers. Last night he asking what they have in their data center. And they got a lot of stuff in the data center. To the extent that a company like pure can say, OK, you've got simple, fast et cetera on prim. And we've now extended that to the cloud. Your choice. They're going to spend Maur with you than they are with the guys that fight that. >> Yeah, absolutely. And, you know, I think if you look at our approach and how we've built the products and how were, you know, taking them to market? We've taken a very different approach than some of the competitive set. You know, in some ways, we've really just extended the same way that we think about innovation and product engineering from our existing on prime portfolio into the cloud, which is we look for heart problems to solve way take the hard road, we build differentiated products. Even if it takes us a little bit longer, you can see that, you know, in the product offerings, right? We've really focused on enabling tier one mission critical applications. If you look at the competitive, said they haven't started their their reason why we did that. All right, is we knew that you know, we had customers telling us, like if if you're a customer and you want to use the cloud and you want to think about the cloud is a D R site well, when something goes wrong and you two fell over duty, our site, you you need to be sure that it works exactly the same way there as it did on problem. That's everything from data service is data path features to all of the work flows. An orchestration to go around it because when your primary site goes down is not the time when you want to be discovering that. Oh, there's a footnote on that future and it's that's not supported in the cloud version, that sort of thing on dso you know that, Like I said, you know, the focus that we've put on the product development we've done towards Cloud Block stores really been around creating the same level of enterprise grade features on enabling those applications in the cloud as we do in private. >> You know, we don't make the Amazon storage. We make the Amazon storage better. What's that commercial? Essentially what? That's essentially >> what we've done You know, the great thing about that is that we've done it in close partnership with Amazon, right? You know, we had Amazon on stage yesterday on day, were talking a little bit about that partnership process. And ultimately, I think why that partnership has been so successful is we're both ultimately driven by the same thing, which is customer success. All right. In the early days of working with Amazon as we started coming up with the concept of club block store and consulting them on, we're thinking about building it this way. What do you think? What service is should be, You know, should we leverage and m in eight of us to make this happen? It became pretty clear to them that we were setting out to build a differentiated product and not just tick off check boxes on dhe. That's when they their eyes really okay, way. We really would like you to do a differentiated product here. >> Hey, if this takes off, we're gonna sell all the C two at three. >> What are some of the things Sorry day that you've been with here about six years? What are some of the things that have surprised you pleasantly that the customers have catalysed from an architecture perspective that customer feedback coming back t your team and the and the guys and girls engineering the product. Customers are demanding a certain thing that maybe wasn't something that was an internal idea but really was catalyzed by customers anything that just really I think it's very cool. Very surprising. >> Yeah. No, I mean, I think I think a >> couple of things. I think personally one of the things that surprised me was, you know, when I joined Pure in 2013 you know, we're all we're all about simplicity, right? You talk to cause who I think you had on the show earlier. You know, in the early days who tell you our differentiators gonna be simplicity and I got to say when I first joined the company is a little skeptical is like All right, I get it. Simplicity is a thing. Is it really a differentiator? I very quickly was surprised based on customer feedback that no, it really is very, very meaningful on. And that's something that we take all the way through Engineering. Write everything down, Thio how we design features and put them in the user interfaces. If there's, you know, there's an engineer that wants to put a configuration hook or a knob or ah on option in the user interface way kind of stop and say, Well, G, how would you document that? How would you suggest the user make a decision? Tea set that value will describe and say, Okay, well, g, we can make that decision, can't we? Right? Like, why don't we just want we just make it simpler And so that's been That's been a big surprise, I think, from a customer catalyzed, uh, point of view. What I'd say is we've been really surprised at a lot of the use cases that the flash blade product has been put into play for. And, you know, I think a I was one of them when we when we first set out, we had really targeted Flash played at addressing a segment of the commercial HPC Chip Design Hardware Design software development market. Andi is actually a set of customers, very large Web property customer that came to us with an A I use case. They said, Hey, you know, we've got a ton of data video images, uh, text postings. And we want to do a lot of analysis of this. All right, I want to do a facial recognition. We want to do content and sentiment analysis. We've got the Jeep use. We think you guys have the right storage product for that, and that's really that's really taken off. And that was very much a customer driven area. We >> talked a little bit about that within video yesterday. About some of the customer catalyzed innovation where a is concerned. >> Absolutely. What do you see is the critical technical skills that pure needs in the next decade. I mean, you're five. Correct? Remember, you can't have a networking background. Internal networking, I guess of you got guys from Veritas, right? Obviously strong software file system. What do you What do you see is the critical skill. Yeah, that's >> a good question. You know, we have a very diverse team, all right? We we in engineering typically higher and look for people with strong systems, backgrounds that are willing to learn and want to solve her problems. We, you know, typically haven't hired very specific domain areas myself, my doctor, and is in language run times and compilers, Oh, distributed systems so a bit all over the map, You know, What I'd say is that the first phase of pure the first kind of decade was really about reinventing the storage experience on for me. I look at it as taking lessons from the consumer experience, bringing him into the storage on Enterprise World. Three iPhones, example. That's used a lot. There's a couple of examples you can think of. I think the next phase of what we're trying to do and you heard Charlie talk about this on stage with a modern date experience is take some lessons from the cloud experience and bring them into the enterprise. Right? So the first phase is about consumer simplicity for a human think the next phase is really about bring in some more of the cloud experience for enabling automation and dev ops and management orchestration. >> So what kind of work? A long, long, lot of work to do to get we envisioned this massively scalable distributed system where you have that cloud experience no matter where your data lives, that's not there today, Um, and you don't want to ship your date around, it'd be too much data. So you're on a ship metadata and have the intelligence tow. Bring the compute to that. That data. >> What do you >> got to do? What's the work that you have to do to actually make that seamless? That there's that over word overuse word again. It's not seamless today. Yeah, >> so? So, look, I mean, I think there's there's a lot of angles to it right on. And we're gonna We're gonna work our way there to your point. You know, it's not there today, but, you know, you're you're starting to see us lay the groundwork with all the announcements that came out today, right under the umbrella of Hey, we want to end up creating more portable, more seamless, more agile experience for customers. You can see where, as we bring Maur storage media's into play different classes of service, different balances of performance and cost, bringing those together in a way so that an application can use them income in the right combinations, you know, bring a I into play to help customers do that seamlessly and transparently eyes a big part of it. You can see multiple location kind of agility that we're bringing into play with Claude Block >> store >> enabled, like loud snap and snap shot mobility. Things like that on Dhe. Then you know, I think, as we move beyond the block world and way look att, what we can able with applications that sit on top of file on object protocols. There's a lot of, ah, a lot of greenfield there, right? So you know, we think object storage is very attractive, and we're starting to see that as the application vendors, right, as the applications that sit on top of the storage layer are really embracing object storage as the cloud native storage interface, if you will, that's creating a lot of, ah, a lot of, uh, you know, a lot of ways to share data, right? We're starting to see it, even within the data center, where multiple applications now are able to share data because object storage is being used. And so, like I said, there's a lot of angles to this right. There's there's bringing multiple discreet A raise together under the same management plane. There's bringing multiple different types of storage media a little bit closer together from a seamless application mobility perspective. There's bring multiple locations, data centers, clouds together from a migration a d R perspective. And then there's, you know, there's bringing a global name space type of capability to the table, so it's a long journey. But you know, we think it's the right one. And you know what we ultimately want to do is, you know, have customers be able to think about, be ableto provisioned, be able to manage to not just an array, but really more of like an A Z, right. I want a pool. I want it to be about a fast. But you know, I'm willing to pay about yea much for it, and I need this types of data protection policies for it. Please make it happen >> and anywhere do you So you see, it is technically feasible to be able to run any app, any workload on any cloud or on Prem without having a re compile the application, make changes to the application. That's what I really kind of meant by Seamus that you see that as technically feasible in the next called 5 to 10 years, I'll give you I think >> I think it'll take a long wait a long time we'll get there. And I think, you know, I think it'll depend on the application. All right. I think there are gonna be some combinations that look. I mean, if if you have a high, high frequency, low latent see trading database, there's physical limitations, you're not going to run the application here and put the storage in the cloud. But if we if we step back from it, right, the concept, Yeah. I mean, I think that a lot of a lot of things are becoming possible to make this happen, right? Fastener networking is everywhere. It's getting faster application architectures and making it more feasible. You know, the media costs and what we're able to drive out of the media are bringing a lot a lot more than work leads to flash A eyes is coming into play. So, like I said, it's gonna be different on the on the application. But, you know, I think we're entering a phase where, you know, the modern software developer doesn't wanna have to think too hard about where is you know where physically what six sides of sheet metal is. My dad is sitting on. They want to think about what I need from it. What do we need from in terms of capacity, what we need from it in terms of performance, what we need from it in terms of data service capabilities. All right, ends, you know, And I need to be able to control that elastic Lee. I need to be able to control that through my application through software, and that's kind of what we're building towards. >> Last question, Rob, as we wrap up here, feedback that you've heard the last day and 1/2 on some of the news that came out yesterday from customers, analysts, partners. >> Yeah, you know, I'd say if I were to net it out. I think the one piece of you, Doc, we've gotten this. Wow, you guys have a lot of stuff on. It's really nice to see you guys talking about stuff. It's available today, right? That >> that's a >> lot of eyes on that screen. And, you know, I think I had a KN analysts say to me, You know, this is it's really refreshing. Thio kind of See you guys take a both you know, the viewpoint of the customer. What you're delivering the customer, what you're enabling on then be, You know, I got a lot of tech conferences and I hear a lot about, like, way off in the future. Envisioned Andi feedback we got was you guys had a really good balance of reality today. What, You're helping customers today? What's available today to do that? And enough of the hay. And here's where we're headed. So >> we actually heard the same thing. So good stuff, right? Well, congrats on the 10th anniversary, and we appreciate you joining us on the Cube. We look forward to next year already in whatever city. You're gonna take us to >> two. Thanks a lot. >> All right. For day, Volante. I'm Lisa Martin. You're watching the Cube. Thanks for watching.

>> from Austin, Texas. It's Theo Cube, covering pure storage. Accelerate 2019. Brought to you by pure storage. >> Welcome back to the Cube, The leader and live tech coverage. I'm Lisa Martin with David Dante. We got a pretty cool guests coming up next, guys, you may have seen him here on the Q before. He has back Matt Harris, the head of I T for Mercedes AMG, Petronas Motor Sport. Matt, Welcome back. >> Often a >> way got the car over there with excitement. One of the coolest sports I've ever become involved with. Formula One is this incredible mix of technology strategy. All these crazy things you guys that Mercedes have been partners, customers a cure for about what? 45 years? >> 2015. As a customer, we became partners in 2016. >> I wonder if they like to save Mercedes AMG Petunias Motor Sport has had five consecutive years of both constructors championships driver's championships. You're a great position on both for 2019. It was a little bit of a history about the product that you put out on truck every other week and how pure storage is a facilitator of that. >> Yeah, okay, so it's an interest in a story for those that are interested in Formula One, because what you see on the track looks the same. But realistically, every time he goes out, the guarantee will be different. That level of difference could be a simple wing change or configuration, always based on data that we're learning from during a race again. But every week we also have a different car dependent on the track we're going to. So we have two different worlds that basically were to rate on a minute by minute, hour by hour and day by day at the track. But in the factory, that could be the same sort of it oration. But it could also be into weekly or monthly or year for a car. So all of that is based on data. So everything we do is that businesses revolves around data. We never make a change to the car without me now to back it up with empirical knowledge. Even if the driver turns around and tells us they feel something called, they believe something, we will always make sure we have data to back up that decision, So access to data is critical. Compute performance whether it's high performance, compute for our safety, for instance, whether it's for you as an end user, access to data is critical across everything that we do is time critical Time is our currency really as a business if we slow down your job? Generally, that probably means that you've got less time to make the correct decision. Or maybe you have to turn into a guess or a hunch, which that's never a good place to be in our sport. >> No, I would think not. >> I've I recall, from our conversation last year their rules that say, How many people you can have in your entourage like 60. I think it was yes, and at the time I think you said you got, like, 15 Allocated to data. Is that ratio kind of still holding? I >> still exactly the same in our tracks. On environment, they're still the same in the factory. We have more than that, depending on how many people on what time of day, what day of the week. So on a Friday race day, practice day, we can have a minimum. There'll be 30 people in our race support room will be looking at data along with those other 15. But you can have the whole Aargh department or design department or logistics. Whoever could still be looking at data from the track real time, so we can have as many as 4 to 500 looking at data if they want to. And if that's the right thing going on earlier in the season, you generally get more people looking As the season goes on. It's probably more aargh focused, maybe mechanically if we got something new, or maybe the engine division again in a completely separate building in the U. K 40 miles apart, they've got another set of people that will be looking and trolling through data riel time from the but looking really at the power unit rather than the chassis side. >> And you're generating, like roughly half a terabyte a weekend on a race weekend. Is that still about the same? Or is that growing a car >> perspective? It's just under half a terabyte, but we produce up to another half a terabyte of other supporting data with that GPS data, weather data, video, audio, whatever it would be other information to help with the strategy side of things So we're around 77 50 to 1 terabyte for race weekend, >> and each car has about 300 sensors. I think when we spoke with you last year, or maybe you're half ago is about 200 so that's increasing in terms of all the data being captured every race weekend. But one of the things that I love that matter sizes, you know, we're idea at Mercedes is not that unlike I t at other groups who really rely on high performance systems. But you do put out a new product every two weeks and this really extreme range of conditions, your product is extremely expensive as pretty sexy. Like the portability factor. You have to set up a tea shop, have any 20 weekends a year and set it up in what, 36 hours and take it down in six. >> And a nine year old joke about the taking it down in six is a bit like a Benny Hill sketch. It's obviously choreographed and, well, well rehearsed, but we have all the same systems as any normal business would have the tracks. That environment is very different, though we don't have air conditioning in so all the IittIe equipment has to work at the natural ambient air temperature of the country. We're in this year. Believe it or not, Germany and hungry have been our biggest challenge. We've had for the last 43 to 4 years because they had 45 degree air ambient air temperature. So forget humidity for a minute, which is Another kettle of fish probably affects us a bit more, maybe, than the systems, but we're only chucking that air as fast as we can across the components. So we're not putting any cooling into what is probably around the tolerance of most I T systems. So we have to rely basically on air throughput to terminate. Keep kit. Cool. Now the benefit with pure is actually doesn't create any heat, either. There's no riel heat generation, so it's quite tolerant, which helps us get it doesn't create Maur, but the environment we put it into is quite special. But what we're doing is what any business would want to do. Access toe email file systems. What we're trying to do is give it in a performance fashion. People need to make a decision. So in qualifying, for instance, those 300 sensors. That information that we've got from the car, we've got minutes to make a decision based on data. If it takes you too long to get the data off, you can't then look at the data to make a decision. So we have to make sure data in just from the car and then basically multi access from everybody in the factory or the track side is performance enough to make a decision before the car goes back out again. Otherwise, we're wasting track time. >> So you've always had data in this business. Early days was all analog, and it obviously progressed and thinking about what you want to do, Going forward with data. What kind of information or capabilities don't you have? Where that technology in the future could address >> s so interesting. One is technology of the future. If you know what it is, let me know with what we know right now, I think a lot of it's gonna be about having the ability to have persistent storage. But actually the dynamic of the compute resource eso looking at things like kubernetes or anything like that to turn around and have dynamic resource spin up as and when required to do high performance computer calculations based on the data, maybe to start giving us some automated information, I'm gonna be careful of the M l A. I is for our businesses, it's not quite as simple as others because our senior management very technically capable, and they just see it as advanced statistical analysis. So unless you program, it is not gonna give you an answer. Now we've started to see some things this year were actually the computer is teaching us things we didn't ask it to. So we have got some areas where we're beginning to learn that. That's not necessarily the case now, but for us that access to data moving forward, it's probably gonna be compute. Combined with that underlying storage platform, there's going to be critical onstage. You you heard Robin people talking about the ability to have that always present storage layer with the right computer. That's something for us is going to be critical, because otherwise we're gonna waste money and have resource sat doing nothing. >> Is security >> an issue for you? I mean, it's an issue for everybody, but there isn't a game of honor because you got this, you know, little community that you guys trying to hack each other systems. >> So it's an interesting one inside the sport, Actually, no. Because a few years ago there was a very high profile case where data went between two teams and there was £100 million fine's exclusion from the sport for a season. So that's that's >> too big. You don't mess with that. >> But also, if you think of that from our perspective, we've got the Daimler star on here. We cannot afford to have any of that Brenda brand reputational rubbing off on Damon's. So that's a no no other teams I can't talk for. But we're all fairly sensible between ourselves. What will be interesting moving forward is what technologies air in our sport, but actually of the whether their motor manufacturers or not, is their technology in there that they're interested in. Maybe the battery technology from the power unit side of things is that the power unit itself. So are other things actually more interesting to those other >> places. It legal for you, you know, by the rules of sports, a monitor, just data or captured data, whether it's visual, whatever from your competitors. Eso anything, >> this public? Yes, it's fair game. Okay, so we get given all the teams. Actually, we get a standard set of three or four different streams of information around GPS timing on some video feeds and audio feeds on their publicly consumable by the team's. When I say public for a second on those feeds, we can do what we like. You know that there for us to infer information, which we do a lot off, is what helps our strategy team to turn around and actually predict what we might or might not need to do as far as a pit stop or tire degradation. >> And that's where the human element must come into understanding the competent, like to football coaches who who know each other right? >> Well, yes. And now, if you think if you add to that the human element off Well, what happens if one team strategy person changes? Are they gonna make a different call based on the same data? Is their hunch different? Do they think they know better within a team? You can have that discussion. So what happens in another team where they're cars, not as performance so their mindset. Maybe they're thinking differently. Or maybe a team's got the most performance car of the moment and they think that they're going to do X. And we're like, Well, we're gonna do something different than to try and actually catch them out. So do we. Now don't do the normal thing. >> So let's hope >> Gamification I love it. >> Let's look at all. Make a prediction. 2019 is gonna be another Mercedes AMG way. So at the end of the season, all of the data that you have collected from the cars, all the sensors, all the weather data, GPS, et cetera how does pure facilitate in the off season the design of the 2020 car, for example, Where does where does things like computational fluid dynamics? >> Okay, so all of our production data is on pure, whether it's on a ray or blade somewhere, it's on pure storage across the site. So they're involved. Whether you're talking about design, whether you're talking about final element analysis for hyper a ll, the C f. D. Using high performance computer systems, everything some pure so from that point of view, is making sure we're using the right resource in the right place to get the best performance. Now, see if he's an interesting one because we're regulated by the F A a. About the amount of compute that weaken you. He's now. Because of that, you want it to be as efficient as you possibly can. It's not speed but the efficient use off CPU time. So if a CPU is waiting for data, that's wasted, Okay, so for us, it's trying to make sure that whole ecosystem is as efficient as we can. That's obviously an integral part of everything we do, so whether we're wind tunnel testing, whether we're in the dino, the simulators, but everything basically comes back to trying to understand and correlate the six or seven different places we generate data, trying to make sure that when there's a change in the simulator, we understand that change in the real world or in a diner or in safety. So all of that, what pure do is allow us to have that single place to go and look how I perform and always available. And for me, I don't have to have a story. Jasmine. Yeah, we've got a team of people that actually are thinking about that for us at Pure, You know, there is invested in us these days. Yeah, I walk around here, I'm very fortunate. I get to see all of the senior guys here and there. They are asking me what's going on and how's things with sequel Oracle Because they know exactly what we're doing and they're they're trying to say what's coming. So things like object engine Pierre So we've been talking to pure about using that over the coming months. But what? We're not having it at the moment. Go out and learn it. Actually, they coming in and they're telling us all about it. So they become a virtual extension to my team, which is just amazing. >> Yeah, far more efficient. You're able to focus on a much more things that drive value for the business. As we look at some of the things like the Evergreen business model. What were some of the big ah ha we hear is the right solution for us back in 2015. Is that >> so? Evergreen and love. Your stories were two things at the time that we're just incredible for us because love your storage was basically you could have an array and basically you could use it. And there was no commitment, no anything. But if you like that, you could keep it, obviously, paying for it. Ah, nde. When we did that in the factory, basically, within a week of being in there that the team were like, Whoa, hang on, that's going nowhere. So that was That was a nice, easy one. But Evergreen was an interesting one, which has only really, truly for me. I've always bought into it. But the last probably 18 months we've used it time and time and time again because the improvements with the speed of light x 90 coming envy Emmy drives. When we were looking at capacity, what we did was we turned round and said, Well, actually, we can buy more dense units in the next 90 so we're only buying the extra capacity, but we were getting new technology. So nations, all the innovation that you're putting into their products were getting it. So today, when they were talking about the memory based access, and if your things always sat there going, I can use that. Oh, and there's no there's no work for me, there's no effort. The only thing I gotta worry about is whether I've got capacity for that. Those modules to go in. So Evergreen has worked several times because I don't have to go back to the cap export and go. Could I have another x £1,000,000 please? Why? I need some more storage. Yeah, but you bought some of the other day. Yeah, well, that one. I need to get rid of it because I need a bigger one. And I don't have to do that. Now. I just go in. I'm telling them what the increases for which actually, they can choose Then if they want to increase, they know what the business benefit is rather than just I t has got to turn around and either replace it because of age or the new version doesn't support is not an uplift, not upgrade from the old. One >> I've seen was looking at some of your stats and the case study that's currently online on. Imagine these numbers have gone up 68% reduction in data center Rackspace and saving £100,000 a year and operating costs >> those that would have been probably two years ago. Ish roughly those figures. And the operating cost is a huge improvement for us. Cap Ex is probably the biggest one for me. They were moving forward with cost caps coming into Formula One. That type of thing is gonna be invaluable. Does not happen to do a forklift upgrade of your storage. Well, I wouldn't know what I would do if I had to upgrade what I now own from pure I can't even imagine what? I don't want to turn around town my bosses what that's >> gonna cost. Well, it sounds like you really attacked the op X side with R and D with pure r and D. I kind of like that shifting, you know, labor toe are Andy because you don't want to spend labour on managing storage a raise, make no sense for your business. Okay. What do you want? Pure toe spend? R and D are now, what problem can they saw for? You mean >> so racy is gonna help If I'm really honest, that's actually is gonna help fill a whole quite well for us because we weren't really sure what to put some of that less hot data we were like, Well, where we going to start to put this now? Because we were beginning to fill up the array and the blades. Actually, with a racy no, we can actually use that different class of storage actually, to keep it still online. Still be out to do some machine learning A. I in the future when that comes around. But actually I can now have Maur longevity out of my existing array and blades. So that's brilliant and coming, I think, having I need to be careful, I know some things that are coming. Uh, the active sinking array is brilliant, and we've been using that since it came out. Having that similar or same ability in Blade when it comes will be a very advantageous having those played enclosures. We've gone to multi chassis flash played over the last six weeks, so that for us is great. Once we can start to synchronize between those two, then that's ah, that's another big one for us, for resiliency, for fault, tolerance, but also workload movement. That thing I said about persistent stories, layer, I'm not gonna need to care where it is, and it will be worked out by the storage in the orchestration layer so it can have the storage in the computer in the right place. >> Wow. Great story, Matt, as always. And I think it's Pierre calls this the unfair advantage coming to life. Best of luck for the rest of the 2019 season. >> I'll take it. >> All right, We'll see you next time. >> Thank you. >> Keep before >> for David Dante. I am Lisa Martin. You're watching the Cube from Cure Accelerate in Austin, Texas.